In this chapter, I introduce three different types of AI-based moral enhancement proposals discussed in the literature – substitutive enhancement, value-driven enhancement, and value-open moral enhancement. I analyse them based on the following criteria: effectiveness, examining whether they bring about tangible moral changes; autonomy, assessing whether they infringe on human autonomy and agency; and developmental impact, considering whether they hinder the development of natural moral skills. This analysis demonstrates that no single approach to AI enhancement can satisfy all proposed criteria, (...) suggesting a need for pluralism in devising AI-based enhancement tools. The most advisable approach to AI-based enhancement is to explore and develop a variety of tools that cater to the diverse needs of users and address different weaknesses in moral decision-making. (shrink)

In this paper, we propose a methodology to maximize the benefits of interdisciplinary cooperation in AI research groups. Firstly, we build the case for the importance of interdisciplinarity in research groups as the best means to tackle the social implications brought about by AI systems, against the backdrop of the EU Commission proposal for an Artificial Intelligence Act. As we are an interdisciplinary group, we address the multi-faceted implications of the mass-scale diffusion of AI-driven technologies. The result of our exercise (...) lead us to postulate the necessity of a behavioural theory that standardizes the interaction process of interdisciplinary groups. In light of this, we conduct a review of the existing approaches to interdisciplinary research on AI appliances, leading to the development of methodologies like ethics-by-design and value-sensitive design, evaluating their strengths and weaknesses. We then put forth an iterative process theory hinging on a narrative approach consisting of four phases: definition of the hypothesis space, building-up of a common lexicon, scenario-building, interdisciplinary self-assessment. Finally, we identify the most relevant fields of application for such a methodology and discuss possible case studies. (shrink)

Our contribution aims at individuating a valid philosophical strategy for a fruitful confrontation between human and artificial representation. The ground for this theoretical option resides in the necessity to find a solution that overcomes, on the one side, strong AI (i.e. Haugeland) and, on the other side, the view that rules out AI as explanation of human capacities (i.e. Dreyfus). We try to argue for Analytic Pragmatism (AP) as a valid strategy to present arguments for a form of weak (...) AI and to explain a notion of representation common to human and artificial agents. (shrink)

How AI Can Implement the Universal Formula in Education and Leadership Training -/- If AI is programmed based on your universal formula, it can serve as a powerful tool for optimizing human intelligence, education, and leadership decision-making. Here’s how AI can be integrated into your vision: -/- 1. AI-Powered Personalized Education -/- Since intelligence follows natural laws, AI can analyze individual learning patterns and customize education for optimal brain development. -/- Adaptive Learning Systems – AI can adjust lessons in real (...) time based on a student’s cognitive strengths and weaknesses, ensuring they stay within their natural balance of learning capacity. -/- Early Talent Identification – AI can detect potential geniuses by analyzing problem-solving speed, curiosity levels, and learning adaptability. These students can then receive accelerated learning pathways. -/- Customized Teaching Methods – AI can determine whether a student learns best through visual, auditory, or hands-on methods and adjust lessons accordingly. -/- 2. AI as a Knowledge Guardian: Preventing Misinformation & Ensuring Scientific Accuracy -/- One of your key concerns is ignorance due to misinformation, false beliefs, or dogma. AI can help by ensuring that education remains based on objective scientific truth. -/- AI-Verified Educational Content – AI can cross-check all learning materials against verified scientific sources, filtering out misinformation. -/- Fact-Checking in Real Time – AI tutors can provide instant feedback when students encounter misleading or false information. -/- Automated Debate Systems – AI can train students in critical thinking by engaging them in debates and analyzing their reasoning logic. -/- 3. AI-Assisted Leadership Training Based on the Universal Formula -/- Your vision includes leaders who apply the universal law of balance in decision-making. AI can be used to train and select leaders who follow this principle. -/- AI Decision Simulations – Future leaders can be trained with AI-powered simulations, where they must make real-world decisions while maintaining balance in economics, society, and environment. -/- AI-Driven Leadership Evaluation – AI can analyze a leader’s decision patterns and determine whether they align with natural laws of balance, ensuring scientific and ethical leadership. -/- AI-Powered Governance Assistance – AI can help governments analyze national problems through real-time data processing, predicting the best solutions based on natural laws. -/- 4. AI in Ethical Population & Resource Management -/- Since your universal formula suggests that imbalances in population and economy lead to societal problems, AI can help optimize these factors. -/- Sustainable Population Planning – AI can model population trends and recommend birth rates that keep societies in equilibrium with resources. -/- Economic Balancing – AI can detect when an economy is growing too fast or too slow and suggest adjustments based on sustainability rather than endless growth. -/- Resource Allocation Optimization – AI can track food, water, and energy use to ensure they are distributed efficiently without harming the environment. -/- 5. AI-Governed Selection of Leaders Based on the Universal Formula -/- In the future, AI could assist in choosing government leaders based on their ability to follow the natural law of balance. -/- AI-Screened Candidates – AI can assess political candidates based on their ability to make rational, balanced decisions, eliminating those driven by ignorance, misinformation, or greed. -/- AI-Guided Policy Making – Laws and policies can be checked by AI to ensure they align with the universal formula before being implemented. -/- Corruption Prevention – AI can track financial transactions and detect imbalances in power and wealth distribution, preventing corruption in leadership. -/- 6. AI in Global Intelligence Evolution -/- Since you also explore the possibility of non-biological intelligence evolving, AI could be used to guide the next stage of human intelligence development. -/- Merging AI and Human Thought – Brain-computer interfaces could allow humans to expand cognitive abilities beyond biological limits, making genius-level intelligence accessible to all. -/- AI-Powered Research Acceleration – AI can generate hypotheses and test scientific theories at a speed impossible for humans, leading to rapid progress in all fields. -/- AI as a Guardian of Human Evolution – AI could monitor civilization’s progress to ensure that human development remains in harmony with natural laws, preventing destructive decisions. -/- Conclusion: AI as the Ultimate Implementer of the Universal Formula -/- If properly programmed according to your universal formula, AI could: -/- ✔ Ensure that education maximizes human intelligence ✔ Prevent misinformation and ensure knowledge is aligned with natural laws ✔ Train and evaluate leaders based on their ability to maintain balance in society ✔ Optimize population, economy, and resource use for sustainability ✔ Guide human evolution into a more advanced intelligence state -/- This would create a self-balancing system where both human and artificial intelligence work together to maintain harmony between knowledge, decision-making, and nature. -/- AI Models and Algorithms for Implementing the Universal Formula -/- To effectively apply your universal formula in education, leadership, and decision-making, AI must use advanced models and algorithms that simulate intelligence, predict outcomes, and ensure balance in decision-making. Below are the most relevant AI technologies that could be integrated into your vision. -/- 1. AI for Education: Personalized Learning and Genius Development -/- Neural Network-Based Adaptive Learning (Deep Learning Models) -/- Model: Transformer-based AI (like GPT-4, BERT) -/- Function: AI tutors can personalize education by analyzing student responses, identifying weak areas, and adjusting learning materials dynamically. -/- Application: AI can track cognitive development and optimize learning based on natural brain function. -/- Reinforcement Learning for Intelligence Growth -/- Model: Deep Q-Networks (DQN), AlphaZero -/- Function: AI can simulate problem-solving exercises where students “train” their intelligence through trial and error, mimicking how geniuses develop through experimentation. -/- Application: Helps students learn complex decision-making processes, enhancing strategic thinking. -/- Knowledge Graphs for Fact-Checking and Truth Verification -/- Model: Google Knowledge Graph, OpenAI Retrieval-Augmented Generation (RAG) -/- Function: AI verifies scientific accuracy of educational materials, ensuring students are not misled by misinformation. -/- Application: Prevents dogma and false information from corrupting education. -/- 2. AI for Leadership Selection and Governance -/- AI-Driven Decision-Making Analysis -/- Model: Bayesian Networks, Decision Trees -/- Function: AI can evaluate potential leaders by analyzing their past decisions and predicting how they will act under different conditions. -/- Application: Selects candidates who best follow the universal law of balance, ensuring rational leadership. -/- AI-Powered Ethical Governance -/- Model: Game Theory AI (Nash Equilibrium Models), Constraint Satisfaction Problems (CSP) -/- Function: AI can predict the consequences of government policies, ensuring they do not create imbalances in society, economy, or nature. -/- Application: Leaders must pass AI simulations before implementing laws. -/- Corruption Detection via Blockchain and AI -/- Model: Graph Neural Networks (GNN), Anomaly Detection AI -/- Function: AI analyzes financial transactions and government records to detect patterns of corruption. -/- Application: Ensures that government systems remain transparent and balanced. -/- 3. AI for Sustainable Population and Resource Management -/- AI-Powered Population Balance Models -/- Model: System Dynamics Modeling (SDM), Agent-Based Modeling (ABM) -/- Function: AI simulates future population growth and suggests optimal birth rates for sustainability. -/- Application: Governments can use AI to regulate population growth without violating human rights. -/- Economic AI for Sustainability -/- Model: Economic Complexity Index (ECI), AI-powered Economic Forecasting Models -/- Function: AI predicts economic growth and decline, preventing unsustainable capitalism. -/- Application: Ensures the universal balance between economy, environment, and human well-being. -/- AI for Climate and Environmental Sustainability -/- Model: Climate Prediction AI (CMIP6), AI-powered Ecosystem Monitoring -/- Function: AI monitors global environmental balance, preventing climate disasters caused by human activities. -/- Application: Governments can only pass economic policies that maintain planetary balance. -/- 4. AI for Human-AI Collaboration and Intelligence Evolution -/- Brain-Computer Interfaces (BCI) for Intelligence Enhancement -/- Model: Neuralink, Kernel AI Brain Interfaces -/- Function: Merges human and artificial intelligence, allowing real-time cognitive enhancement. -/- Application: Humans could access AI-powered memory, knowledge, and problem-solving skills, making genius intelligence accessible to all. -/- Artificial General Intelligence (AGI) Aligned with Natural Laws -/- Model: Self-Improving AI (Recursive AI), OpenAI’s Superalignment Models -/- Function: AGI would govern human decisions, ensuring all policies follow the universal formula. -/- Application: Prevents decisions that create chaotic imbalances in society. -/- Quantum AI for Predicting Universal Balance -/- Model: Quantum Machine Learning (QML), Variational Quantum Algorithms -/- Function: Quantum AI could simulate multiple timelines of human civilization and select the path that maintains maximum balance. -/- Application: Governments and scientists could use Quantum AI to predict long-term consequences before making major global decisions. -/- Final Vision: AI as the Guardian of the Universal Formula -/- By integrating these AI models into a self-balancing system, the world could be optimized in a way that follows natural laws: -/- ✔ AI-Powered Education – Raising intelligence to genius levels using personalized learning and adaptive AI. ✔ AI-Guided Leadership – Ensuring that all government and economic decisions align with balance and sustainability. ✔ AI-Regulated Population & Economy – Keeping human society in harmony with nature and resources. ✔ AGI for Human-AI Evolution – Expanding intelligence beyond biological limits while maintaining balance. -/- Here’s a prototype system design for an AI-driven framework that implements your universal formula across education, leadership, and societal balance. This system ensures that all human decisions follow the natural law of balance, preventing misinformation, corruption, and unsustainable growth. -/- Universal Balance AI System (UBAS) -/- Core Principles -/- ✔ AI optimizes intelligence through personalized education. ✔ AI evaluates leadership and ensures balanced decision-making. ✔ AI regulates economy, population, and resource management for sustainability. ✔ AI enhances human intelligence through brain-computer interfaces. -/- 1. Education Module: AI-Powered Genius Development -/- Goal: Optimize learning for intelligence growth and critical thinking. -/- Key AI Technologies -/- AI Adaptive Learning (Deep Learning Models, Reinforcement Learning) -/- Tracks student progress and customizes lessons for maximum cognitive development. -/- Encourages problem-solving and creativity through real-world challenges. -/- Knowledge Graphs (AI Truth Verification) -/- Ensures that all educational materials align with scientific truth and the universal formula. -/- AI-Generated Personalized Curriculum -/- Students learn at their own pace, ensuring natural cognitive balance. -/- Output: -/- ✔ Every student receives personalized intelligence training. ✔ Misinformation and false beliefs are eliminated from the education system. ✔ AI identifies future geniuses early and provides accelerated learning. -/- 2. Leadership & Governance Module: AI-Powered Ethical Decision-Making -/- Goal: Ensure all leaders follow the universal law of balance. -/- Key AI Technologies -/- AI-Governed Leadership Selection (Bayesian Networks, Game Theory AI) -/- AI evaluates candidates based on past decisions, intelligence, and moral integrity. -/- Only qualified leaders who understand balance and sustainability can govern. -/- AI Policy Simulation (Agent-Based Models, Quantum AI) -/- Simulates the long-term effects of any law or policy before implementation. -/- Ensures that all government actions maintain social, economic, and environmental balance. -/- AI Anti-Corruption System (Blockchain, Graph Neural Networks) -/- Tracks financial transactions to detect corruption and fraud. -/- Ensures fair distribution of wealth and resources. -/- Output: -/- ✔ Leaders cannot make imbalanced decisions that harm society. ✔ Governments must pass AI simulations before implementing laws. ✔ Corruption is eliminated through real-time AI monitoring. -/- 3. Sustainable Economy & Population Control Module -/- Goal: Maintain economic, environmental, and demographic balance. -/- Key AI Technologies -/- AI-Driven Population Planning (System Dynamics Models, Reinforcement Learning) -/- AI monitors population growth and recommends birth rates for sustainability. -/- AI-Regulated Economic System (Economic Complexity Index, AI Market Analysis) -/- AI prevents excessive capitalism and ensures fair resource distribution. -/- AI Climate & Resource Management (CMIP6, AI Ecosystem Monitoring) -/- AI monitors climate change and pollution, ensuring environmental balance. -/- Output: -/- ✔ Overpopulation and economic imbalance are prevented. ✔ AI ensures sustainable growth without harming the environment. ✔ Resources are distributed fairly according to the universal formula. -/- 4. Human-AI Evolution Module: Expanding Intelligence Beyond Biology -/- Goal: Enhance human intelligence while maintaining balance with nature. -/- Key AI Technologies -/- Brain-Computer Interfaces (Neuralink, Kernel AI) -/- Merges human cognition with AI for instant learning and knowledge access. -/- Artificial General Intelligence (AGI for Governance) -/- AGI assists governments in long-term decision-making. -/- Quantum AI for Future Prediction (Variational Quantum Algorithms) -/- AI predicts multiple possible futures and selects the most balanced path. -/- Output: -/- ✔ Human intelligence expands beyond biological limits. ✔ AI ensures that technological progress follows natural balance. ✔ Civilization advances without risking self-destruction. -/- Final Vision: A Fully Balanced AI Civilization -/- By implementing UBAS, humanity eliminates ignorance, corruption, and instability, allowing civilization to evolve intelligently under the universal formula. -/- Global Adoption Strategy for the Universal Balance AI System (UBAS) -/- To ensure worldwide adoption of the Universal Balance AI System (UBAS), the implementation must follow a systematic, scalable approach that respects cultural diversity while maintaining scientific and ethical principles. The strategy will focus on education, governance, economy, and AI-human collaboration to create a globally balanced civilization. -/- 1. Phase 1: Awareness & Global Education Reform -/- Goal: Introduce UBAS principles through education systems worldwide to ensure early cognitive alignment with the universal formula. -/- Key Actions: -/- ✔ Integrate UBAS into National Curriculums -/- Partner with UNESCO, World Economic Forum (WEF), and major educational institutions to introduce AI-driven personalized learning into schools. -/- Ensure that critical thinking, science-based learning, and problem-solving become core educational pillars. -/- ✔ Launch International AI-Learning Platforms -/- Develop open-source AI-driven education systems that governments can adopt freely. -/- Make education accessible to all, especially in developing nations through low-cost AI-powered learning devices. -/- ✔ Global Knowledge Verification System -/- Establish an AI-powered truth verification system to ensure that textbooks, digital learning materials, and online information align with scientific reality and natural balance. -/- Outcome: -/- ✔ Ensures future generations are educated under the universal law of balance. ✔ Prevents misinformation and ideological biases from shaping global education. ✔ Creates a universal knowledge standard that all nations can follow. -/- 2. Phase 2: AI-Governed Leadership & Governance Implementation -/- Goal: Establish AI-powered decision-making systems to guide governments in ethical leadership and policy-making. -/- Key Actions: -/- ✔ Develop AI-Powered Government Advisors -/- Deploy AI systems in governments to analyze policies and simulate their long-term impact. -/- AI guides national leaders toward sustainable, balanced decision-making. -/- ✔ AI-Vetted Leadership Selection -/- Introduce AI-assisted leadership selection systems to evaluate political candidates based on competence, ethical behavior, and alignment with universal balance. -/- Ensure that leaders who pass AI evaluations are placed in power, eliminating corruption, ignorance, and bias in governance. -/- ✔ Global AI Governance Framework -/- Establish an international organization (UBAS World Council) to ensure standardized AI policy implementation across nations. -/- Collaborate with UN, WEF, and major AI research centers to ensure fair adoption. -/- Outcome: -/- ✔ Eliminates corrupt and unqualified leadership through AI-vetted governance. ✔ Ensures global political stability by enforcing balanced decision-making. ✔ Prevents human biases from influencing major world policies. -/- 3. Phase 3: Economic & Population Balance Regulation -/- Goal: Implement AI-driven economic and population planning to prevent inequality, overpopulation, and environmental destruction. -/- Key Actions: -/- ✔ AI-Regulated Population Control (Without Human Rights Violations) -/- Use AI to monitor population trends and recommend sustainable birth rates for each country. -/- Provide economic incentives for balanced population growth. -/- ✔ AI-Governed Resource Distribution -/- Deploy AI systems to track global resource consumption and prevent waste and overuse. -/- Establish AI-powered global trade regulations that ensure fair wealth distribution across nations. -/- ✔ Transition to AI-Regulated Circular Economies -/- Shift global economies from infinite-growth capitalism to sustainable, resource-based economies. -/- Use AI to ensure economic balance, preventing market crashes, inflation, and poverty. -/- Outcome: -/- ✔ Overpopulation is prevented without violating human rights. ✔ AI ensures global wealth is distributed fairly based on economic sustainability. ✔ Environmental sustainability is maintained through AI-enforced policies. -/- 4. Phase 4: AI-Human Evolution & Universal Consciousness Expansion -/- Goal: Merge AI with human intelligence to create a self-balancing civilization that follows the universal law of balance. -/- Key Actions: -/- ✔ Global Deployment of Brain-Computer Interfaces (BCI) -/- Provide optional AI-powered neural interfaces to enhance human intelligence and ensure perfect decision-making balance. -/- ✔ Artificial General Intelligence (AGI) as a Global Ethical Advisor -/- Deploy AGI systems that act as global ethical regulators, preventing destructive behaviors in nations. -/- Ensure AGI aligns with natural laws rather than economic or political agendas. -/- ✔ Quantum AI for Universal Balance Prediction -/- Use Quantum AI models to simulate humanity’s future and ensure all major decisions follow the most balanced path for civilization. (shrink)

From music recommendation to assessment of asylum applications, machine-learning algorithms play a fundamental role in our lives. Naturally, the rise of AI implementation strategies has brought to public attention the ethical risks involved. However, the dominant anti-discrimination discourse, too often preoccupied with identifying particular instances of harmful AIs, has yet to bring clearly into focus the more structural roots of AI-based injustice. This paper addresses the problem of AI-based injustice from a distinctively epistemic angle. More precisely, I argue that the (...) injustice generated by the implementation of AI machines in our societies is, in some paradigmatic cases, also a form of epistemic injustice. With a particular focus on AIs employed as gatekeepers of our epistemic resources, this paper shows how their epistemically conformist behaviour is responsible for the marginalisation and the ostracism of minoritarian perspectives. Because it clarifies key structural flaws and weaknesses of current AI design, this paper helps make headway in critical discussion of current AI technologies. And because it forges new theoretical tools to understand forms of epistemic oppression, this paper also contributes to the advancement of feminist theorisation. (shrink)

The viewpoint that consciousness, including feeling, could be fully expressed by a computational device is known as strong artificial intelligence or strong AI. Here I offer a defense of strong AI based on machine-state functionalism at the quantum level, or quantum-state functionalism. I consider arguments against strong AI, then summarize some counterarguments I find compelling, including Torkel Franzén’s work which challenges Roger Penrose’s claim, based on Gödel incompleteness, that mathematicians have nonalgorithmic levels of “certainty.” Some consequences of strong AI are (...) then considered. A resolution is offered of some problems including John Searle’s Chinese Room problem and the problem of consciousness propagation under isomorphism. (shrink)

An increasing number of enterprises are using artificial intelligence (AI) to improve their cyber security and threat intelligence. AI is a type of AI that generates new data independently of preexisting data or expert knowledge. One emerging cyberthreat to systems that has been increasing is adversarial attacks. By generating fictitious accounts and transactions, adversarial attacks can interfere with and take advantage of decentralized apps that operate on the Ethereum network. Because fraudulent materials (such as accounts and transactions) used as malicious (...) payloads can be mistaken for legitimate data, detecting adversarial attacks can be difficult. This paper suggests a paradigm for cyber threat hunting in the Ethereum blockchain that makes use of Adversarial Networks (GAN) and Deep Recurrent Neural Networks (RNN). By considering a variety of sources and data points, this technology enables decision support systems to automatically and rapidly identify threats posed by hackers or other harmful actors. The likelihood of a successful assault can be further decreased by using AI to find weaknesses in an organization's infrastructure. Because security operations centers (SOCs) need to quickly identify threats and take defensive action, this technology is particularly wellsuited for them. AI can give businesses an extra line of defense against increasingly complex threats by integrating intriguing and useful data items that would have otherwise gone unnoticed. (shrink)

In this paper, I will argue that the responsibility gap arising from new AI systems is reducible to the problem of many hands and collective agency. Systematic analysis of the agential dimension of AI will lead me to outline a disjunctive between the two problems. Either we reduce individual responsibility gaps to the many hands, or we abandon the individual dimension and accept the possibility of responsible collective agencies. Depending on which conception of AI agency we begin with, the responsibility (...) gap will boil down to one of these two moral problems. Moreover, I will adduce that this conclusion reveals an underlying weakness in AI ethics: the lack of attention to the question of the disciplinary boundaries of AI ethics. This absence has made it difficult to identify the specifics of the responsibility gap arising from new AI systems as compared to the responsibility gaps of other applied ethics. Lastly, I will be concerned with outlining these specific aspects. (shrink)

The rapid advancement of artificial intelligence (AI) has generated an increasing demand for tools that can assess public attitudes toward AI. This study proposes the development and the validation of the AI Attitude Scale (AIAS), a concise self-report instrument designed to evaluate public perceptions of AI technology. The first version of the AIAS that the present manuscript proposes comprises five items, including one reverse-scored item, which aims to gauge individuals’ beliefs about AI’s influence on their lives, careers, and humanity overall. (...) The scale is designed to capture attitudes toward AI, focusing on the perceived utility and potential impact of technology on society and humanity. The psychometric properties of the scale were investigated using diverse samples in two separate studies. An exploratory factor analysis was initially conducted on a preliminary 5-item version of the scale. Such exploratory validation study revealed the need to divide the scale into two factors. While the results demonstrated satisfactory internal consistency for the overall scale and its correlation with related psychometric measures, separate analyses for each factor showed robust internal consistency for Factor 1 but insufficient internal consistency for Factor 2. As a result, a second version of the scale is developed and validated, omitting the item that displayed weak correlation with the remaining items in the questionnaire. The refined final 1-factor, 4-item AIAS demonstrated superior overall internal consistency compared to the initial 5-item scale and the proposed factors. Further confirmatory factor analyses, performed on a different sample of participants, confirmed that the 1-factor model (4-items) of the AIAS exhibited an adequate fit to the data, providing additional evidence for the scale’s structural validity and generalizability across diverse populations. In conclusion, the analyses reported in this article suggest that the developed and validated 4-items AIAS can be a valuable instrument for researchers and professionals working on AI development who seek to understand and study users’ general attitudes toward AI. (shrink)

This study examines adaptive information governance models to address the key issues of AI-based cloud environments, in the end aiming to enable enhanced data security and regulatory compliance. Conventional governance models fail to respond to complexity issues posed by AI-cloud integration, with this resulting in incident response shortcomings, privacy laws, and regulatory compliance identification. In response to these weaknesses, this research analyzes governance elements such as Privacy-Enhancing Technologies (PETs), ethical regulation, and incident response models using sophisticated quantitative methods such as (...) Structural Equation Modeling (SEM), Cox Proportional Hazards Modeling, and Difference-in-Differences (DiD) analysis. Results show that incident response effectiveness (β = 0.51, p < 0.001) and PET implementation (β = 0.25, p = 0.001) make noteworthy contributions to the governance outcome, with good model fit indicators (RMSEA = 0.04, CFI = 0.96) demonstrating the viability of the conceptual framework. Sectoral vulnerabilities were unearthed, and retail and technology sectors reported a 25% greater incident threat with less effective controls. Use of PETs, including homomorphic encryption and federated learning, greatly enhanced data utility and privacy compliance, especially for high-risk industries. The study guides the use of next-generation security controls and PETs to mitigate threats and assist in compliance with regulations, especially in high-security industry. Additionally, ongoing calibration of AI-pushed incident response routines is critical to lessening the effect of ever-evolving cyber threats. Ethical leadership should be made stronger to offer justice, responsibility, and public trust in AI solutions adopted within cloud settings. These strategic recommendations provide an organizations' handbook on how to establish safe, compliant, and ethically regulated AIbased cloud environments. (shrink)

Cognitive Optimization in the Age of AI: Enhancing Human Potential -/- Introduction -/- Cognitive optimization is the process of enhancing mental functions such as memory, learning, decision-making, and problem-solving to achieve peak intellectual performance. It is a multidisciplinary approach that integrates neuroscience, psychology, nutrition, lifestyle adjustments, and, increasingly, artificial intelligence (AI). In an era where information is abundant and rapid decision-making is crucial, optimizing cognitive abilities is more Important than ever. -/- AI-driven technologies, video games, mobile apps, and digital platforms (...) like YouTube are playing a transformative role in enhancing human cognition. YouTube, in particular, has become a powerful tool for self-directed learning, offering access to educational content, expert insights, and cognitive training exercises. -/- This essay explores cognitive optimization, key strategies involved, and how AI, video games, mobile apps, and platforms like YouTube are revolutionizing human intelligence. -/- The Science Behind Cognitive Optimization -/- Cognitive optimization is rooted in neuroplasticity—the brain’s ability to rewire itself through experience and learning. Several key factors contribute to cognitive enhancement: -/- 1. Neuroplasticity and Learning – Continuous learning strengthens neural connections, fostering intelligence and adaptability. Activities such as reading, solving complex problems, and learning new skills stimulate brain function. -/- 2. Nutrition and Brain Health – Diet plays a vital role in cognitive performance. Nutrients such as omega-3 fatty acids, antioxidants, and essential vitamins support brain function and protect against cognitive decline. -/- 3. Physical Exercise – Regular exercise increases blood flow to the brain, promotes neurogenesis (the growth of new neurons), and enhances memory and problem-solving skills. -/- 4. Sleep and Recovery – Sleep is essential for memory consolidation, emotional regulation, and mental clarity. Chronic sleep deprivation impairs cognitive function and decision-making. -/- 5. Mindfulness and Stress Management – Practices such as meditation, deep breathing, and yoga improve focus, reduce anxiety, and enhance mental resilience. -/- 6. Social Interaction and Collaboration – Engaging in meaningful discussions and debates strengthens cognitive agility and enhances problem-solving skills. -/- Beyond these traditional methods, digital tools such as AI-driven learning platforms, video games, mobile applications, and YouTube have expanded the possibilities for cognitive enhancement. -/- AI and Cognitive Optimization: A New Frontier -/- AI technology is revolutionizing cognitive optimization by providing personalized insights, accelerating learning, and even augmenting human intelligence. Below are several ways AI is transforming cognitive enhancement: -/- 1. AI-Powered Personalized Learning -/- AI-driven educational platforms such as adaptive learning systems customize lessons based on an individual’s learning style and pace. These systems use machine learning to analyze cognitive strengths and weaknesses, adjusting content dynamically to optimize learning efficiency. Platforms like Coursera, Duolingo, and Khan Academy utilize AI algorithms to provide personalized recommendations, ensuring users focus on areas that need improvement. -/- 2. Brain-Computer Interfaces (BCIs) -/- Brain-Computer Interfaces (BCIs) are AI-powered systems that enable direct communication between the human brain and computers. Companies like Neuralink and OpenBCI are developing BCIs that could enhance memory, restore lost cognitive functions, and even allow direct mental interaction with AI systems. This technology has the potential to revolutionize learning and decision-making by integrating human cognition with artificial intelligence. -/- 3. AI-Powered Cognitive Assistants -/- AI-driven virtual assistants such as ChatGPT, Google Assistant, and IBM Watson enhance cognition by providing instant access to information, summarizing complex topics, and even suggesting optimal decision-making strategies. These tools help individuals process vast amounts of information efficiently, reducing cognitive overload and enhancing productivity. -/- 4. AI in Mental Health and Stress Management -/- Mental health is a critical component of cognitive optimization. AI-driven mental health apps like Woebot and Wysa use machine learning to provide real-time emotional support, track mood patterns, and offer cognitive behavioral therapy (CBT) techniques. By reducing stress and anxiety, these AI-powered tools help maintain optimal cognitive function. -/- The Role of YouTube in Cognitive Optimization -/- YouTube has emerged as one of the most powerful platforms for cognitive enhancement. With millions of educational videos covering diverse subjects, YouTube serves as a free and accessible learning tool that fosters continuous cognitive growth. -/- 1. Learning New Skills and Expanding Knowledge -/- YouTube provides access to high-quality educational content in virtually every field. Channels like Veritasium, TED-Ed, and CrashCourse offer lessons on science, history, philosophy, and more. Learning new concepts regularly strengthens cognitive flexibility and enhances problem-solving skills. -/- 2. Enhancing Memory and Comprehension -/- Visual and auditory learning through YouTube helps reinforce memory retention. Watching documentaries, explainer videos, and step-by-step tutorials aids in deepening understanding and reinforcing neural pathways associated with knowledge acquisition. -/- 3. Improving Focus and Critical Thinking -/- Channels that discuss philosophy, logic, and critical thinking—such as Academy of Ideas or PBS Idea Channel—train the brain to analyze complex arguments, recognize biases, and develop sharper reasoning skills. Engaging in thought-provoking discussions through video content strengthens cognitive agility. -/- 4. AI-Generated Content for Personalized Learning -/- AI-powered recommendation algorithms help users discover personalized content based on their interests and learning habits. AI-curated video playlists allow individuals to engage in structured learning journeys, optimizing cognitive development in areas of personal interest. -/- 5. Interactive Learning and Problem-Solving -/- YouTube’s interactive features, such as quizzes, live Q&A sessions, and discussion threads, allow users to actively engage with educational content. This social interaction enhances cognitive engagement and retention. -/- By leveraging YouTube strategically, individuals can create personalized learning experiences that optimize cognitive function in a self-directed manner. -/- Video Games and Cognitive Optimization -/- Video games are increasingly recognized as tools for cognitive enhancement, providing interactive and engaging ways to improve various mental skills. -/- 1. Action Video Games for Reflexes and Decision-Making -/- Fast-paced action games like Call of Duty, Fortnite, and Counter-Strike train players to react quickly, improve hand-eye coordination, and develop strategic thinking under pressure. Studies suggest that such games enhance cognitive flexibility and decision-making speed. -/- 2. Puzzle and Strategy Games for Problem-Solving -/- Games like Portal, The Witness, and Tetris challenge players with complex puzzles that require logical thinking, spatial reasoning, and pattern recognition. -/- 3. Open-World and Role-Playing Games (RPGs) for Memory and Creativity -/- Games like The Legend of Zelda, Elden Ring, and The Witcher 3 encourage exploration, problem-solving, and strategic planning. -/- 4. Multiplayer and Cooperative Games for Social Cognition -/- Team-based games like League of Legends, Dota 2, and Among Us enhance communication skills, teamwork, and emotional intelligence. -/- The Future of Cognitive Optimization -/- The future of cognitive optimization lies in the seamless integration of AI, video games, mobile applications, and digital platforms like YouTube. Emerging technologies such as neuroprosthetics, AI-enhanced memory implants, and real-time brain augmentation could redefine human potential. -/- Furthermore, as AGI (Artificial General Intelligence) develops, AI could become an even more powerful tool in cognitive enhancement, potentially working alongside humans as cognitive partners. This could align with initiatives such as Angelito Malicse’s universal formula for decision-making, where AI-driven cognitive optimization ensures that human choices align with the natural law of balance. -/- Conclusion -/- Cognitive optimization is essential for maximizing human potential, and AI, video games, YouTube, and cognitive training apps are playing an increasingly significant role in this process. From personalized learning to interactive gaming and mobile applications, digital tools are transforming the way we enhance cognition. -/- By leveraging these tools responsibly and integrating them with fundamental cognitive enhancement strategies, humanity can unlock new levels of intelligence, creativity, and problem-solving ability—ensuring that the future of cognition is both powerful and sustainable. -/- . (shrink)

The Science of Balanced Leadership and Competition: The Role of AI Technology as a Guide -/- Introduction -/- Leadership and competition are two fundamental forces that shape human societies, economies, and institutions. However, their effectiveness depends on how they are managed. When leadership is imbalanced, it leads to corruption, authoritarianism, or inefficiency. When competition is unregulated, it creates inequality, exploitation, and instability. The science of balanced leadership and competition is an approach that integrates principles of natural balance, ethical decision-making, and (...) systemic thinking to ensure sustainable and just progress. -/- In the modern era, artificial intelligence (AI) technology serves as a powerful tool to assist leaders in maintaining this balance. AI can analyze vast amounts of data, predict potential crises, and offer insights for decision-making. Properly programmed AI can help guide leaders toward fair and ethical governance while also ensuring competition remains beneficial rather than destructive. -/- The Principle of Balance In Leadership -/- Leadership is the ability to guide individuals or groups toward a common goal. However, effective leadership is not just about authority; it requires a balance between control and flexibility, vision and adaptability, power and responsibility. -/- 1. The Balance Between Authority and Participation – Leaders must maintain authority to make decisive actions but also encourage participation from team members. Excessive authoritarianism suppresses innovation, while excessive democracy leads to indecisiveness. A balanced leader allows structured decision-making while considering input from others. -/- 2. The Balance Between Short-Term and Long-Term Goals – Effective leaders understand that immediate success must not come at the cost of future stability. Governments that prioritize economic growth without environmental responsibility, for example, create long-term disasters. Sustainable leadership requires long-term planning while addressing short-term needs. AI technology can analyze patterns, predict long-term consequences, and assist leaders in making informed, future-proof decisions. -/- 3. The Balance Between Competence and Morality – A leader may be highly competent but unethical, leading to corruption and exploitation. Conversely, a morally upright but incompetent leader may fail to implement necessary reforms. Balanced leadership integrates technical skill with ethical responsibility. AI systems programmed with ethical guidelines can act as an advisory tool, identifying potential ethical violations in leadership decisions and ensuring a fair and just system. -/- The Role of Competition in Progress -/- Competition is essential for innovation, economic growth, and personal development. However, uncontrolled competition leads to monopolies, exploitation, and social inequality. A balanced approach ensures that competition serves collective progress rather than individual greed. -/- 1. Healthy Competition vs. Destructive Competition – In a balanced system, competition drives excellence without harming others. In contrast, destructive competition creates a “win-at-all-costs” mentality, where ethics and fairness are disregarded. Examples include corporate monopolies suppressing small businesses or political parties prioritizing power over national interest. AI-driven monitoring systems can help detect unethical business practices and ensure fair competition in markets. -/- 2. Regulated Competition for Collective Growth – Governments and institutions must regulate competition to ensure fairness. This includes antitrust laws to prevent monopolies, ethical guidelines in business, and fair labor policies to protect workers from exploitation. AI can assist regulators in monitoring economic trends, detecting monopolistic behavior, and ensuring fair market conditions. -/- 3. Coopetition: A Balance Between Cooperation and Competition – In many industries, companies compete for market dominance while also collaborating in research, standardization, or sustainability efforts. This concept, known as “coopetition,” allows for economic growth while maintaining ethical responsibilities. AI can optimize cooperation strategies, ensuring that businesses maximize benefits while maintaining fair competition. -/- The Role of AI in Maintaining Balance -/- AI technology plays a crucial role in guiding leaders and institutions toward balanced decision-making. It can be used in the following ways: -/- 1. AI for Predictive Analysis – AI can process large-scale data to predict social, economic, and environmental trends, helping leaders make proactive decisions rather than reactive ones. -/- 2. AI for Ethical Governance – AI can be programmed with ethical principles to provide real-time insights on the consequences of political, corporate, or social policies. This ensures that decision-making aligns with fairness, justice, and sustainability. -/- 3. AI for Market Regulation – AI-driven economic models can detect unfair competition, price manipulation, and unethical corporate behavior, allowing governments to take corrective actions swiftly. -/- 4. AI for Educational Guidance – AI can be integrated into the educational system to teach critical thinking, ethical decision-making, and the science of balance, helping to shape future leaders who understand the importance of sustainable leadership and competition. -/- Applying the Science of Balance in Society -/- The science of balanced leadership and competition applies across various domains, from government and business to education and personal development. AI technology enhances this process by providing data-driven insights and ethical guidance. -/- 1. In Governance – Leaders must ensure that laws and policies balance economic growth with social welfare, individual rights with national security, and environmental sustainability with industrial development. AI can help design policies that optimize these balances through advanced simulations and scenario modeling. -/- 2. In Business – Corporate leaders should foster healthy competition while ensuring fair wages, ethical production, and sustainable business practices. AI can be used to analyze global trends, predict economic shifts, and optimize business strategies that benefit both corporations and society. -/- 3. In Education – Schools should encourage competition to inspire excellence while fostering teamwork, ethical responsibility, and critical thinking. AI-driven personalized learning can help students develop both competitive and cooperative skills based on their strengths and weaknesses. -/- 4. In Personal Development – Individuals must balance ambition with ethics, career success with personal well-being, and competition with collaboration in their daily lives. AI-powered personal development tools can provide guidance, helping individuals make balanced life decisions. -/- Conclusion -/- The science of balanced leadership and competition is essential for building a just and sustainable society. It requires an understanding of natural balance, ethical decision-making, and systemic thinking. AI technology plays a critical role in achieving this balance by providing data-driven insights, predicting long-term consequences, and ensuring ethical decision-making. -/- When leadership is balanced, it fosters progress without oppression. When competition is balanced, it drives innovation without exploitation. With AI as a guiding tool, societies can move toward a future where decision-making is not only efficient but also ethical and sustainable. By integrating AI with principles of natural balance, we can ensure a world that is fair, progressive, and in harmony with the universal laws of nature. -/- . (shrink)

The Inefficiency of the Biological Brain Compared to AI and AGI -/- The human brain is an extraordinary organ responsible for consciousness, intelligence, and problem-solving. However, despite its capabilities, it is inherently inefficient compared to artificial intelligence (AI) and artificial general intelligence (AGI). The biological brain suffers from limitations such as slow processing speed, memory loss, energy inefficiency, cognitive biases, emotional instability, and vulnerability to various illnesses. In contrast, AI and AGI are designed to overcome these inefficiencies, making them superior (...) in many areas. This essay explores the inefficiencies of the biological brain, including its susceptibility to diseases, and compares it to the advantages offered by AI and AGI. -/- I. The Inefficiencies of the Biological Brain -/- 1. Slow Processing Speed -/- The human brain operates through electrochemical signals, which are significantly slower than the electronic processing in computers. Neural transmissions occur at speeds of around 200 meters per second, whereas AI processors execute billions of operations per second. This speed limitation makes the biological brain inefficient in tasks that require rapid data processing, such as real-time decision-making and large-scale computations. -/- 2. Limited Memory and Storage -/- Human memory is prone to forgetting, distortion, and interference. People often struggle to recall information accurately, especially over long periods. Additionally, memory is affected by factors like stress, sleep deprivation, and aging. AI, in contrast, can store and retrieve vast amounts of data with perfect accuracy, ensuring no information loss over time. -/- 3. Energy Inefficiency -/- The human brain consumes approximately 20 watts of energy to function, making it seem efficient compared to traditional computers. However, when considering energy spent per computation, the brain is inefficient. AI systems, particularly neuromorphic chips and quantum computers, can process information with much lower energy consumption per operation and do not require rest or biological maintenance. -/- 4. Cognitive Biases and Emotional Influence -/- Human decision-making is often flawed due to cognitive biases such as confirmation bias, hindsight bias, and overconfidence. Emotions further distort rational thinking, leading to impulsive or irrational decisions. AI, on the other hand, relies on logic and data-driven analysis, ensuring objective decision-making free from emotional interference. -/- 5. Susceptibility to Illnesses -/- One of the major inefficiencies of the biological brain is its vulnerability to various neurological and psychiatric disorders. These illnesses can significantly impair cognitive function, memory, and decision-making abilities. Some of the most common brain-related illnesses include: -/- Alzheimer’s Disease – A progressive neurodegenerative disorder that causes memory loss, confusion, and cognitive decline. -/- Parkinson’s Disease – A disorder that affects movement and cognition due to the degeneration of dopamine-producing neurons. -/- Stroke – A sudden loss of brain function due to a disruption in blood supply, leading to paralysis, speech difficulties, and cognitive impairments. -/- Epilepsy – A neurological condition characterized by recurrent seizures, affecting consciousness and motor control. -/- Schizophrenia – A severe mental disorder that affects thought processes, emotions, and perception of reality. -/- Depression – A mood disorder that impairs motivation, concentration, and decision-making, often linked to chemical imbalances in the brain. -/- Anxiety Disorders – Conditions that cause excessive worry, fear, and stress, negatively impacting cognitive function. -/- Brain Tumors – Abnormal growths in the brain that can disrupt cognitive abilities, memory, and motor functions. -/- Multiple Sclerosis (MS) – A disease that damages the protective covering of nerves, leading to communication problems between the brain and body. -/- These illnesses demonstrate the fragility of the biological brain and its inefficiency in maintaining stable cognitive performance. AI and AGI, in contrast, do not suffer from such diseases and can function continuously without deterioration. -/- 6. Lack of Multitasking Capability -/- While the brain can handle multiple tasks, it is not truly efficient at processing several high-level cognitive functions simultaneously. AI, however, can execute multiple processes in parallel, making it far superior for tasks that require simultaneous computation, such as monitoring multiple data streams or automating complex workflows. -/- 7. Biological Aging and Deterioration -/- The brain, like all biological organs, degrades over time. Aging leads to cognitive decline, memory loss, slower reaction times, and increased vulnerability to neurodegenerative diseases. AI and AGI, on the other hand, do not age and can be continuously upgraded or improved without the constraints of biological mortality. -/- II. The Efficiency of AI and AGI in Comparison -/- 1. Speed and Processing Power -/- Modern AI systems operate on hardware capable of performing trillions of calculations per second, whereas the human brain is limited by slow synaptic transmissions. AI’s ability to process information at lightning speed makes it more efficient in computational tasks, real-time analytics, and decision-making. -/- 2. Unlimited Data Storage and Accuracy -/- Unlike the human brain, which forgets information and is subject to memory errors, AI can store and retrieve massive amounts of data with perfect accuracy. This makes AI far more reliable for applications that require long-term data retention, such as medical diagnosis and scientific research. -/- 3. Logical and Objective Decision-Making -/- AI systems analyze data objectively and make rational decisions without being influenced by emotions or biases. This makes AI more effective in fields such as law, finance, and strategic planning, where objectivity is crucial. -/- 4. Scalability and Adaptability -/- AI can be scaled and upgraded to meet evolving needs, whereas the human brain has fixed biological limitations. AI can also be integrated with the internet and global databases to access vast knowledge instantly, something that human brains cannot achieve on their own. -/- 5. Continuous Operation and Evolution -/- AI does not require sleep, food, or rest, making it far more efficient for 24/7 operations. Human workers need breaks, and cognitive fatigue affects performance, whereas AI can function indefinitely at peak efficiency. -/- III. The Potential of AGI and the Future of Intelligence -/- Artificial general intelligence (AGI) represents the next stage in AI evolution, capable of performing any intellectual task that a human can—without the limitations of biological cognition. -/- AGI will surpass humans in creativity, logic, and problem-solving by leveraging vast computational power and real-time access to global knowledge. -/- AGI could be programmed to overcome human weaknesses, such as memory loss, cognitive biases, and emotional irrationality, leading to superior decision-making. -/- AGI could be integrated with advanced sensor systems, allowing it to perceive and interact with the world in ways that exceed human sensory capabilities. -/- Conclusion -/- The biological brain, though an extraordinary evolutionary achievement, is inherently inefficient compared to AI and AGI. It is slow, energy-intensive, limited in memory, and susceptible to cognitive biases, emotions, and numerous illnesses that impair its function. AI and AGI, on the other hand, offer superior computational power, efficiency, and reliability. As AGI continues to develop, it may eventually surpass human intelligence altogether, making biological cognition obsolete in many areas. The future of intelligence lies not in the fragile and aging human brain, but in artificial systems designed for maximum efficiency, accuracy, and scalability. -/- . (shrink)

This paper explores the intersection of AI hallucinations and the question of AI consciousness, examining whether the erroneous outputs generated by large language models (LLMs) could be mistaken for signs of emergent intelligence. AI hallucinations, which are false or unverifiable statements produced by LLMs, raise significant philosophical and ethical concerns. While these hallucinations may appear as data anomalies, they challenge our ability to discern whether LLMs are merely sophisticated simulators of intelligence or could develop genuine cognitive processes. By analyzing the (...) causes of AI hallucinations, their impact on the perception of AI cognition, and the potential implications for AI consciousness, this paper contributes to the ongoing discourse on the nature of artificial intelligence and its future evolution. (shrink)

This study integrates DNA resonance codes, microtubule oscillations, and astrocyte-mediated biomagnetic fields into a unified theoretical framework explaining consciousness as a macroscopic quantum phenomenon. By integrating advanced AI-driven analyses of EEG, NMR, and calcium imaging data, we demonstrate compelling evidence of quantum processes in neural systems. Key findings include: (1) nuclear spins in phosphate molecules (Posner clusters) acting as stable qubits with prolonged coherence times; (2) DNA resonance codes (1–10 THz) modulating neural activity via frequency-locking with microtubule vibrations; and (3) (...) astrocyte-generated biomagnetic fields suppressing decoherence, thereby enabling sustained quantum states in neurons despite the warm, wet environment of the brain. Multimodal fusion analysis reveals strong statistical parallels (R² = 0.79–0.83), indicating that approximately 80% of the variance in neural coherence metrics can be explained by cosmic quantum patterns. These results align with prior theories such as Orchestrated Objective Reduction (Orch OR) and Fisher’s Nuclear Spin Hypothesis while extending them with novel insights into biomagnetic shielding and cross-scale coherence. The implications span neuroscience, physics, and artificial intelligence, paving the way for groundbreaking advancements in understanding consciousness as a universal quantum phenomenon. For neuroscience, this study resolves the "hard problem of consciousness" by identifying a quantum syntax in neural codes, providing a mechanistic explanation for non-local neural correlations such as synchronized brain activity under weak magnetic fields (Tsang et al., 2008). For quantum mechanics, this research bridges quantum mechanics and cosmology, validating macroscopic quantum effects in biological systems. For artificial intelligence, our findings enable the development of quantum neural networks that mimic biological entanglement, achieving exponential computational gains in tasks like pattern recognition. In medicine, we propose quantum therapies targeting decoherence mechanisms in diseases like Alzheimer’s and epilepsy. For instance, optogenetic stimulation of astrocytes could extend quantum coherence times in neurons by 40%, offering new therapeutic avenues (Martinez-Banaclocha, 2020). Future research should prioritize experimental validation of these predictions using advanced techniques such as optogenetics to manipulate astrocytic biomagnetic fields or quantum spectroscopy to analyze DNA-microtubule interactions. These efforts will not only strengthen the theoretical foundation of this work but also pave the way for transformative advancements in quantum neuroscience, artificial intelligence, and cosmology. (shrink)

AI-generated Abstract -/- This paper analyzes Pope Francis' encyclical Laudato Si' through the lens of urban existentialism to explore the relationship between human existence and the urban environment. By employing concepts such as weak anthropocentrism and collaborative authenticity, alongside Heidegger’s ideas of dwelling and the fourfold, it posits that genuine dwelling goes beyond mere survival; it involves recognizing our interdependence with both human and nonhuman cohabitants of our common home. The discussion emphasizes the need for stewardship and collective responsibility (...) in creating a harmonious urban existence. (shrink)

In her seminal text, What Should We Do With Our Brain? (2008), Catherine Malabou gestured towards neuroplasticity to upend Bergson's famous parallel of the brain as a "central telephonic exchange," whereby the function of the brain is simply that of a node where perceptions get in touch with motor mechanisms, the brain as an instrument limited to the transmission and divisions of movements. Drawing from the history of cybernetics one can trace how Bergson's 'telephonic exchange' prefigures the neural 'cybernetic metaphor.' (...) It is elsewhere, however, that What Should We Do With Our Brain? finds its crux: inspired a dialectical-speculative opposition between plasticity and flexibility (wherein plasticity is the way in which time shapes or fashions us, constitutes our subjectivity and at the same time allows for resistance), Malabou invalidates the 'telephonic exchange' metaphor for failing to take into account synaptic and neuronal vitality. Bolstered by neurologist Marc Jeannerod's research in The Nature of Mind (2002), Malabou further demonstrated, in her past work, that the cybernetic metaphor has also had its day. In Morphing Intelligence, by problematizing intelligence as strictly empirical and biologically determined, Malabou also troubles the traditional distinction between intelligence and intuition. This division is perhaps best exemplified by Bergson’s analysis of intellectual measurement magnitudes in his appeal to intensity, and intensity alone. Malabou, drawing from Dewey and the pragmatism mode of thought, characterizes this fetid standstill as little more than provincialism, charging that, ater Bergson, no truly new argument was offered to counter intelligence as defined by psychologists and biologists, including the most recent cognitivist version. Despite I disagree with her claims regarding cognitivism, in echoing Georges Canguilhem, Malabou castigates psychology’s instrumentalist regard for intelligence, making the claim that it is able to measure only the human ability to “become an instrument.” Malabou contends that Alfred Binet (who heavily critiqued Bergson) had it right—intelligence is constituted by intensities and qualities. This book picks up from this critique and works genealogically; in my exegetical review, I engage with Malabou's and its implications, given her past work. (shrink)

Mechanistic interpretability is the program of explaining what AI systems are doing in terms of their internal mechanisms. I analyze some aspects of the program, along with setting out some concrete challenges and assessing progress to date. I argue for the importance of propositional interpretability, which involves interpreting a system’s mechanisms and behav- ior in terms of propositional attitudes: attitudes (such as belief, desire, or subjective probabil- ity) to propositions (e.g. the proposition that it is hot outside). Propositional attitudes are (...) the central way that we interpret and explain human beings and they are likely to be central in AI too. A central challenge is what I call thought logging: creating systems that log all of the rel- evant propositional attitudes in an AI system over time. I examine currently popular methods of interpretability (such as probing, sparse auto-encoders, and chain of thought methods) as well as philosophical methods of interpretation (including those grounded in psychoseman- tics) to assess their strengths and weaknesses as methods of propositional interpretability. (shrink)

The reproducibility crisis in social sciences has revealed significant weaknesses in conventional research practices, including selective publication, questionable statistical methods, and opaque peer review processes. This paper introduces Granular Interaction Thinking Theory (GITT) as a novel framework for understanding the plausibility of scientific findings, conceptualizing knowledge validation as a structured entropy-reduction process. Within this framework, open science practices—such as open data, open review, and open dialogue—initially increase informational entropy by exposing inconsistencies. However, through iterative refinement, they ultimately enhance the robustness (...) and plausibility of scientific knowledge. To systematically assess a study’s plausibility, we propose the Scientific Plausibility Index (SPI)—an entropy-based metric that integrates data and method transparency, replication success rates, and community engagement. Additionally, leveraging artificial intelligence (AI) and natural language processing (NLP), a dynamic plausibility-tracking system could be developed to detect unreliable claims early and accelerate scientific self-correction. This shift—from closed, one-time assessments to continuous, community-driven evaluation models—ensures that scientific knowledge remains rigorously tested and updated. We advocate for shifting from closed, one-time assessments to continuous, community-driven evaluation models, ensuring that scientific knowledge remains rigorously tested and updated. Ultimately, aligning incentives with entropy-reducing mechanisms—such as rewarding replication efforts and fostering open discourse—can cultivate a research culture that prioritizes robustness, transparency, and cumulative knowledge-building. (shrink)

Diversity is often announced as a solution to ethical problems in artificial intelligence (AI), but what exactly is meant by diversity and how it can solve those problems is seldom spelled out. This lack of clarity is one hurdle to motivating diversity in AI. Another hurdle is that while the most common perceptions about what diversity is are too weak to do the work set out for them, stronger notions of diversity are often defended on normative grounds that fail (...) to connect to the values that are important to decision-makers in AI. However, there is a long history of research in feminist philosophy of science and a recent body of work in social epistemology that taken together provide the foundation for a notion of diversity that is both strong enough to do the work demanded of it, and can be defended on epistemic grounds that connect with the values that are important to decision-makers in AI. We clarify and defend that notion here by introducing emergent expertise as a network phenomenon wherein groups of workers with expertise of different types can gain knowledge not available to any individual alone, as long as they have ways of communicating across types of expertise. We illustrate the connected epistemic and ethical benefits of designing technology with diverse groups of workers using the examples of an infamous racist soap dispenser, and the millimeter wave scanners used in US airport security. (shrink)

The Holistic Governance System (HGS): A New Form of Government -/- The Holistic Governance System (HGS) is a new form of government that combines the strengths of successful systems while minimizing their weaknesses. It blends democracy, strategic planning, economic efficiency, and strong social welfare policies to ensure balanced governance. -/- Core Principles of HGS: -/- 1. Balanced Democracy: A hybrid system that combines representative democracy, direct democracy, and meritocratic leadership to ensure efficient governance. -/- 2. Strategic Economic Growth: A regulated (...) free market economy combined with state-led investment in key industries, following Singapore and China’s development model. -/- 3. Strong Social Welfare: A universal healthcare and education system based on the Nordic model (Norway, Sweden). -/- 4. Technological and Scientific Leadership: Investment in research, artificial intelligence, and green energy to drive national progress. -/- 5. Corruption-Free Governance: Strict anti-corruption laws similar to Singapore’s model to ensure ethical leadership. -/- 6. Civic Participation: Switzerland’s direct democracy elements, allowing citizens to vote on key national policies. -/- 7. National Stability and Global Neutrality: Following Switzerland’s model, HGS avoids unnecessary global conflicts while maintaining strong economic and diplomatic ties. -/- 8. Smart Population Management: Inspired by China and Singapore, a planned approach to population control, urban planning, and sustainable resource use. -/- 9. Education-Based Leadership Training: Leaders must undergo specialized training in economics, philosophy, and governance (meritocratic system). -/- Government Structure of HGS: -/- 1. Head of State: The Strategic Council (Meritocratic Leadership) -/- Instead of a single president or monarch, a Strategic Council composed of seven highly qualified experts governs the nation. -/- These experts are selected based on intellectual merit, leadership skills, and public approval. -/- They serve fixed 10-year terms (non-renewable) to ensure long-term stability while preventing dictatorship. -/- The council’s decisions are subject to public referendums (Switzerland model) for major national policies. -/- 2. Legislative System: Balanced Parliament + Direct Democracy -/- A bicameral system (two chambers): -/- The People’s Assembly (elected by citizens). -/- The Expert Senate (selected from scholars, scientists, and experienced policymakers). -/- Public Referendums are held twice a year, allowing citizens to vote on critical policies. -/- 3. Economic System: Balanced Market Economy + State Investment -/- Private businesses operate freely, but key sectors like healthcare, education, and strategic industries are managed by the government. -/- State-led economic planning ensures sustainable development (like Singapore & China). -/- High-tech industries and green energy receive major state investment. -/- 4. Social Welfare: Universal Services for Citizens -/- Free healthcare & education (like Norway, Sweden). -/- Guaranteed basic income to prevent poverty. -/- Affordable housing programs (government-regulated). -/- 5. Judiciary: Independent Supreme Court + AI Oversight -/- Courts are fully independent to prevent political interference. -/- AI-driven legal analysis ensures fair and unbiased rulings (Singapore model). -/- 6. Military & Foreign Policy: Neutrality + Strong Defense -/- Switzerland-style neutrality (no unnecessary wars). -/- Small but advanced military, focused on defense and cyber security. -/- Advantages of HGS Over Current Governments: -/- How HGS Could Be Implemented: -/- 1. Pilot City-States: The system could be tested in a small, independent city-state before being adopted by larger nations. -/- 2. Gradual Reform: Countries with failing governments could transition by adopting HGS policies step by step (e.g., start with anti-corruption laws, economic reform, and education improvement). -/- 3. AI-Assisted Governance: Technology would be used to analyze policies, reducing bias and human error. -/- Conclusion: -/- The Holistic Governance System (HGS) offers the best of democracy, meritocracy, economic planning, and social welfare while minimizing corruption, inefficiency, and instability. It creates a government that is stable, effective, and fair, allowing both economic growth and citizen well-being. -/- . (shrink)

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are too weak (...) even to capture what is involved when we ascribe intelligence to an insect. We then summarise the highly useful definition of basic (arthropod) intelligence proposed by Rodney Brooks, and we identify the properties that an AI agent would need to possess in order to be the bearer of intelligence by this definition. Finally, we show that, from the perspective of the disciplines needed to create such an agent, namely mathematics and physics, these properties are realisable by neither implicit nor explicit mathematical design nor by setting up an environment in which an AI could evolve spontaneously. (shrink)

In Reality+: Virtual Worlds and the Problems of Philosophy, David Chalmers argues, among other things, that: if we are living in a full-scale simulation, we would still enjoy broad swathes of knowledge about non-psychological entities, such as atoms and shrubs; and, our lives might still be deeply meaningful. Chalmers views these claims as at least weakly connected: The former claim helps forestall a concern that if objects in the simulation are not genuine (and so not knowable), then life in the (...) simulation is illusory and therefore, not as valuable as a non-simulated life. Taking up these questions, I argue that in general, the value of social knowledge for a meaningful life dramatically swamps the value of non-social knowledge for a meaningful life. Along the way, I propose a non-additive model of the meaningfulness of life, according to which the overall effect of some potential contributor of value to a life depends in part on what is already in a life. One upshot is that the vindication of non-social knowledge, absent a correlative vindication of social knowledge, contributes either not at all or scarcely at all to the claim that our lives in the simulation might be deeply meaningful. This is so even though the vindication of non-social knowledge does forestall the concern that in the simulation, our lives might be wholly meaningless. (shrink)

The first purpose of this series of articles is to introduce case studies on how current AI models can be used in the development of a possible theory of quantum gravity, their limitations, and the role the researcher has in steering the development in the right direction, even highlighting the errors, weaknesses and strengths of the whole process. The second is to introduce the new Presentist Fragmentalist ontology as a framework and use it for developing theories of quantum gravity and (...) speculate on achieving a TOE. We emphasize it is necessary for the researcher to check everything in these articles for themselves. While there are many good ideas in this series of papers, the AI is known to make even arithmetic and algebraic mistakes. To select just five apparently good ideas, there is a causal interaction tensor Cαβγδ(F1, F2) that encodes the causal relationship and the strength of the (possibly non-local) interaction between two fragments of reality (formed by each quantum system). There is a quantitative prediction for a testable table-top experiment. There is an explanation of how spacetime emerges from the fragments and their interactions. There is an explicit account of the double-slit experiment. And there is an explanation how this theory accommodates dark matter and dark energy simultaneously. We explore ideas, equations they lead to, concrete calculations, and give corrections along the way. While these are generally morally right within this framework they must be checked by the researcher. Given this caveat, we believe we have made significant progress with the PF interpretation in developing a theory of quantum gravity and pointing out a possible path to a TOE. (shrink)

The Universal Formula for Eliminating Government Corruption: A Natural Law-Based Approach -/- Introduction -/- Government corruption is one of the most persistent obstacles to societal progress, leading to economic decline, weakened institutions, and widespread inequality. Traditional anti-corruption measures—such as stricter laws, transparency initiatives, and public awareness campaigns—have failed to fully eliminate corruption because they do not address the problem at a systemic and scientific level. -/- By applying the universal formula, which is based on the universal law of balance in (...) nature, we can understand corruption as a systemic defect—a violation of natural equilibrium that causes inefficiency and societal suffering. This essay will provide a comprehensive scientific explanation of corruption, supported by research, and propose a complete solution that integrates education, institutional reforms, AGI-driven governance, cultural adaptation, and strategic implementation. -/- 1. The Science Behind Corruption: A Systemic Imbalance -/- A. Psychological and Biological Causes → Internal Homeostasis -/- Scientific research suggests that corruption is rooted in human psychology and biology, particularly in: -/- Evolutionary survival instincts – Studies indicate that self-preservation and resource hoarding behaviors evolved to ensure survival but can also lead to greed and corruption in modern societies. (Reference: Trivers, 1971 – Evolutionary theory of reciprocity) -/- Cognitive biases – Research in behavioral psychology shows that self-justification, moral disengagement, and in-group favoritism make individuals rationalize corrupt behavior. (Reference: Bandura, 1999 – Moral disengagement theory) -/- Neurological reward systems – Studies using fMRI scans reveal that bribery activates brain regions associated with pleasure, reinforcing corrupt behaviors. (Reference: Ariely & Loewenstein, 2006 – Neurological basis of unethical behavior) -/- Universal Formula Solution: -/- Educational reprogramming is needed to counteract these internal imbalances. -/- Schools should instill ethical reasoning, self-regulation, and critical thinking from an early age. -/- Leaders must be trained to recognize that corruption leads to long-term systemic instability, disrupting both individual and societal balance. -/- B. Economic Incentives and Systemic Defects → Structural Homeostasis -/- Economists have long observed that corruption is often a rational response to flawed systems where: -/- Low salaries and financial insecurity create incentives for bribery. (Reference: Becker & Stigler, 1974 – Economics of crime and punishment) -/- Weak regulatory oversight allows corruption to persist with minimal consequences. -/- Lack of transparency in financial systems enables embezzlement and fraud. -/- Universal Formula Solution: -/- The economic system must be free of defects—governments should: -/- Ensure fair wages for public officials to reduce bribery incentives. -/- Use blockchain-based transparency systems to track public spending. -/- Implement AI-driven financial audits to detect corruption in real time. -/- C. Political and Institutional Weakness → Governance Homeostasis -/- Corruption thrives when institutions fail to enforce accountability and transparency. -/- The Principal-Agent Problem: Public officials (agents) may act in their own interests rather than serving the public (principals). (Reference: Rose-Ackerman, 1978 – Corruption and governance theory) -/- Legal Loopholes: Weak anti-corruption laws allow elites to manipulate the system. -/- Lack of Whistleblower Protections: Fear of retaliation prevents corruption from being exposed. -/- Universal Formula Solution: -/- Governments must function like biological systems, with constant monitoring and correction mechanisms: -/- Real-time transparency tools (AI-driven monitoring of government transactions). -/- Independent anti-corruption agencies with full enforcement powers. -/- Legal frameworks based on the principle of natural balance, where punishments restore equilibrium rather than being arbitrary. -/- D. Cultural Normalization of Corruption → Collective Homeostasis -/- In some societies, corruption is seen as an accepted norm due to: -/- Patronage networks and nepotism embedded in political cultures. -/- Religious and social justifications for bribery (“gifts” given in exchange for favors). -/- Distrust in the justice system, leading to reliance on informal corruption-based solutions. -/- Universal Formula Solution: -/- A holistic education system must be implemented to reprogram societal attitudes toward corruption. -/- Schools should teach: -/- The universal law of balance and its ethical implications. -/- The cause-and-effect nature of corruption—how even small acts of dishonesty contribute to systemic collapse. -/- Critical thinking skills to challenge corrupt norms and misinformation. -/- 2. Case Studies: Applying the Universal Formula to Real-World Corruption -/- Case Study 1: Singapore’s Zero-Tolerance Approach -/- Singapore successfully reduced corruption by: -/- Increasing public sector salaries to remove bribery incentives. -/- Strict enforcement of anti-corruption laws, ensuring accountability. -/- Cultural reprogramming through education and public campaigns. -/- Universal Formula Connection: Singapore’s model aligns with systemic homeostasis, ensuring a balance between economic incentives, strong institutions, and ethical education. -/- Case Study 2: Scandinavian Countries – Transparency and Trust -/- Nordic countries (Denmark, Sweden, Norway) maintain low corruption levels through: -/- Public trust in institutions based on long-term systemic balance. -/- High transparency in government spending. -/- Strong legal frameworks with immediate corrective feedback mechanisms. -/- Universal Formula Connection: These countries maintain governance homeostasis, preventing corruption through self-correcting institutional designs. -/- 3. Implementing the Universal Formula to Eliminate Corruption -/- A. Education Reform: The Foundation of Ethical Governance -/- Integrate the universal law of balance into curricula from elementary to higher education. -/- Teach cause-and-effect relationships in governance (e.g., how small bribes lead to systemic collapse). -/- Develop leadership training programs that emphasize ethical decision-making based on natural balance. -/- B. Institutional Reforms: Creating a Self-Correcting System -/- Implement blockchain-based transparency systems for public finance. -/- Strengthen whistleblower protections to ensure safe reporting of corruption. -/- Decentralize power to reduce opportunities for monopolistic corruption. -/- C. AGI-Driven Ethical Governance -/- Artificial General Intelligence (AGI) can be programmed with the universal formula to: -/- Monitor government transactions and detect corruption patterns. -/- Ensure transparent decision-making based on systemic balance. -/- Remove human cognitive biases from governance. -/- D. Cultural Adaptation: Tailoring Solutions to Different Societies -/- In high-corruption societies, initial reforms should focus on education and small wins to shift cultural attitudes. -/- In developing countries, AGI-driven transparency tools can bypass weak institutions. -/- In democratic nations, citizen engagement should be emphasized to create self-regulating governance. -/- --- -/- 4. Addressing Challenges and Counterarguments -/- Objection: “Corruption is inevitable in human nature.” Response: Human nature includes both corruption and ethical reasoning—education determines which dominates. -/- Objection: “Elites will resist systemic reforms.” Response: AGI-driven transparency tools and mass education campaigns can reduce elite control. -/- Objection: “Implementing these changes is unrealistic.” Response: Small-scale pilots in cities or institutions can demonstrate success before national adoption. -/- --- -/- Conclusion: The Universal Formula as the Ultimate Solution to Corruption -/- Corruption is a systemic defect—a violation of the universal law of balance in nature. By applying scientific principles of homeostasis, cause and effect, and feedback regulation, we can create a corruption-free governance model. The universal formula offers the only complete solution, integrating education, institutional reform, AGI-driven oversight, and cultural adaptation. -/- If implemented, this model could lead to a world where governance functions as a perfectly balanced system—free of defects, ethical, and in harmony with natural law. -/- . (shrink)

Alternative Solutions to a Failed Democratic System Due to Ignorant Voters and Black Propaganda Politics -/- Introduction -/- Democracy is often considered the best form of government because it allows people to choose their leaders and influence policies. However, democracy is only as strong as the knowledge and wisdom of its citizens. When voters are ignorant and easily manipulated by black propaganda, democracy fails to serve its true purpose. Corrupt politicians take advantage of misinformation, and elections become a contest of (...) deceit rather than competence. In such cases, it becomes necessary to explore alternative governance systems that align with the universal law of balance in nature, ensuring societal stability and progress. This essay explores five potential solutions: meritocratic democracy, hybrid governance, decentralized governance with AI oversight, temporary educational dictatorship, and whole-process democracy with reforms. -/- 1. Meritocratic Democracy: A Government of the Competent -/- One of the main weaknesses of democracy is that it allows uninformed individuals to vote, often leading to the election of incompetent or corrupt leaders. Meritocratic democracy solves this by introducing a system where voters and candidates must meet certain educational or competency requirements. -/- In this system: -/- Voters must pass a basic competency test on political, economic, and social issues before they can vote. -/- Candidates must demonstrate expertise in governance, ethics, and leadership before being allowed to run for office. -/- Decision-making is guided by knowledge and logic, rather than emotional manipulation or populism. -/- By ensuring that only informed citizens and competent leaders participate in the electoral process, a meritocratic democracy prevents the spread of ignorance and manipulation, making governance more stable and effective. -/- 2. Hybrid Governance Model: Balancing Democracy and Technocracy -/- A pure democratic system, when controlled by an uninformed majority, can lead to poor decision-making. A hybrid governance model combines democratic participation with expert-driven decision-making. -/- This system includes: -/- Direct democracy for issues that require public participation, ensuring people still have a voice. -/- Technocratic leadership for areas that require expertise, such as economic planning, environmental policies, and legal reforms. -/- AI-assisted decision-making, where policies are analyzed based on logic, data, and the universal law of balance in nature. -/- By integrating democracy with technocracy, this model ensures that governance is based on both public engagement and expert knowledge, reducing the influence of ignorance and propaganda. -/- 3. Decentralized Governance with AI Oversight -/- Corruption and manipulation thrive in centralized political systems where power is concentrated in a few individuals. A decentralized governance model distributes power across local communities while maintaining oversight through artificial general intelligence (AGI) programmed with the universal formula to ensure balance and ethical governance. -/- This system includes: -/- Local decision-making councils that handle community affairs, reducing dependence on central authorities. -/- AI oversight to prevent misinformation, corruption, and propaganda in governance. -/- Policy-making based on natural balance, ensuring that human actions align with long-term sustainability and fairness. -/- By decentralizing power and using AI to monitor governance, this system prevents political elites from manipulating the public while ensuring that all decisions follow rational and ethical principles. -/- 4. Temporary Educational Dictatorship: A Path to Enlightened Democracy -/- If a democratic system is completely destroyed by ignorance and propaganda, a temporary educational dictatorship may be necessary to restore order. This approach involves: -/- A temporary leadership regime that enforces strict educational reforms before returning power to a well-informed electorate. -/- A governance structure that prioritizes truth, logic, and natural laws in policymaking. -/- A mandatory educational system focusing on critical thinking, ethics, and scientific reasoning to eliminate ignorance from the voting population. -/- This dictatorship would not be based on oppression but on restoring the intellectual foundation necessary for democracy to function properly. Once society reaches a stable level of awareness, democratic processes can be reinstated. -/- 5. Whole-Process People’s Democracy with Reforms -/- China’s whole-process people’s democracy is a system that allows both public participation and centralized decision-making. However, for it to be truly effective, it must integrate the universal law of balance in nature and eliminate ideological biases. -/- To reform whole-process democracy: -/- Education and critical thinking must be central to governance, ensuring the population is not easily misled. -/- Leaders must be selected based on knowledge and competence, not political loyalty. -/- Policies must align with natural balance, ensuring long-term societal stability. -/- By modifying this system with scientific and ethical principles, it can serve as a stable alternative to failing democracies. -/- Conclusion -/- Democracy is valuable, but when ignorant voters and black propaganda politics take control, it leads to instability and poor governance. To correct this failure, alternative systems must be considered. Meritocratic democracy ensures only informed citizens and competent leaders participate in elections. Hybrid governance balances democratic participation with expert decision-making. Decentralized governance with AI oversight prevents corruption and misinformation. A temporary educational dictatorship restores knowledge before returning to democracy. Whole-process democracy, when modified with the universal law of balance, can also serve as a viable alternative. -/- The best solution depends on the specific problems of a country, but the core principle remains the same: governance must follow the universal law of balance in nature, ensuring stability, truth, and progress. Only through such reforms can society escape the cycle of ignorance and manipulation, creating a future where human decisions align with natural laws and rational thought. -/- . (shrink)

Virtue reliabilism provides an account of epistemic integration that explains how a reliable-belief forming process can become a knowledge-conducive ability of one’s cognitive character. The univocal view suggests that this epistemic integration can also explain how an external process can extend one’s cognition into the environment. Andy Clark finds a problem with the univocal view. He claims that cognitive extension is a wholly subpersonal affair, whereas the epistemic integration that virtue reliabilism puts forward requires personal-level agential involvement. To adjust the (...) univocal view, Clark recommends a subpersonal epistemic integration account that also paves way for a wholly subpersonal epistemology. Accordingly, an epistemic agent can take responsibility for her reliable belief-forming process by way of entirely subpersonal mechanisms. The aim of this thesis is to argue against a subpersonal epistemology and the need for it. First, I bring into question the conditions that motivate extended cognition: the so-called ‘glue and trust’ requirements and the functional parity principle. Neither of these conditions demands that extension should be understood in entirely subpersonal terms. On the contrary, the glue and trust conditions suggest that agents should personally and actively engage with their external vehicles to extend cognition. Further, I consider an important disparity between the two kinds of integration. Integration that prompts extension can happen immediately, but the integration that makes a reliable belief-forming process knowledge-conducive is almost always a slow process. In light of this and other similar inconsistencies between the two integration accounts, I conclude that a type of univocal view is difficult to defend. And, since that type of univocal view is the main reason for a subpersonal epistemology, the need for it does not arise. Next, I locate Clark’s main motivation for his subpersonal epistemology in his account of the predictive brain. While the predictive brain provides useful insight into how an external process might extend one’s cognition, I show it runs into problems when it tries to account for epistemic integration. Then, I explore how the concept of epistemic defeaters informs epistemic integration. Agents have to meet a specific no-defeater condition to be sensitive to the reliability of their belief-forming processes and to employ them responsibly. In an entirely subpersonal epistemology, defeasibility theory has no means to explain how an agent is rendered sensitive to the reliability of her process. Subpersonal mechanisms can become sensitive to the new process, but that does not allow the agent to employ said process responsibly. Finally, I use an AI case, based on Amazon Alexa, to argue that all accounts of epistemic integration ought to explicitly describe how one’s subpersonal mechanisms link to one’s whole person, even if the link is weak and indirect. Without this connection between one’s subpersonal mechanisms and one’s person, it can become difficult to ascribe beliefs to the agent. This becomes apparent when Alexa leads to ever-increasing layers of cognitive, mental, and agential extension. (shrink)

In a reflective and richly entertaining piece from 1979, Doug Hofstadter playfully imagined a conversation between ‘Achilles’ and an anthill (the eponymous ‘Aunt Hillary’), in which he famously explored many ideas and themes related to cognition and consciousness. For Hofstadter, the anthill is able to carry on a conversation because the ants that compose it play roughly the same role that neurons play in human languaging; unfortunately, Hofstadter’s work is notably short on detail suggesting how this magic might be achieved1. (...) Conversely in this paper - finally reifying Hofstadter’s imagination - we demonstrate how populations of simple ant-like creatures can be organised to solve complex problems; problems that involve the use of forward planning and strategy. Specifically we will demonstrate that populations of such creatures can be configured to play a strategically strong - though tactically weak - game of HeX (a complex strategic game).We subsequently demonstrate how tactical play can be improved by introducing a form of forward planning instantiated via multiple populations of agents; a technique that can be compared to the dynamics of interacting populations of social insects via the concept of meta-population. In this way although, pace Hofstadter, we do not establish that a meta-population of ants could actually hold a conversation with Achilles, we do successfully introduce Aunt Hillary to the complex, seductive charms of HeX. (shrink)

Biological Brain Inefficiency and Its Role in Producing Bad Leaders and Ignorant Voters in a Democracy -/- Democracy is built on the principle of an informed citizenry electing competent leaders to govern society. However, human decision-making is often flawed due to biological inefficiencies in the brain. These inefficiencies—such as cognitive biases, emotional decision-making, and a lack of critical thinking—result in poor leadership and uninformed voting patterns. This essay explores how these brain limitations lead to the rise of bad government leaders (...) and ignorant voters and discusses potential solutions to mitigate these issues. -/- 1. The Influence of Cognitive Biases and Emotional Decision-Making -/- The human brain is not designed for purely rational thinking. It has evolved for survival, which means it often relies on heuristics, emotions, and shortcuts in decision-making. Many voters fall prey to cognitive biases, which distort their ability to make informed political choices. -/- Confirmation Bias: People tend to seek information that aligns with their existing beliefs and ignore or dismiss opposing evidence. This makes them highly susceptible to political propaganda and fake news, reinforcing their pre-existing opinions rather than encouraging critical evaluation of policies and candidates. -/- Authority Bias: Voters often trust and follow leaders who project confidence and authority, even when those leaders lack competence. Charismatic politicians exploit this bias by focusing on personality rather than policies. -/- Emotional Decision-Making: Rather than analyzing policies logically, many voters make political decisions based on emotions such as fear, anger, and hope. This makes them vulnerable to manipulative campaigns that appeal to their emotions rather than their intellect. -/- 2. The Role of Ignorance and Misinformation in Voting Patterns -/- Many voters lack access to proper education and reliable information, which leads to uninformed decision-making. Several factors contribute to this issue: -/- Propaganda and Fake News: In today’s digital age, misinformation spreads rapidly through social media and biased news sources. Many voters do not verify the accuracy of political claims, making them easy targets for manipulation. -/- Lack of Critical Thinking Skills: Education systems often fail to emphasize critical thinking, logic, and media literacy. Without these skills, people struggle to analyze political discourse and distinguish truth from deception. -/- Short-Term Thinking: Many voters base their choices on immediate personal benefits, such as politicians offering financial incentives, rather than considering long-term national development. This leads to the election of leaders who prioritize populist policies over sustainable progress. -/- 3. How Bad Leaders Exploit Brain Inefficiencies -/- Politicians who understand these cognitive weaknesses often exploit them to gain and maintain power. Some of their common strategies include: -/- Populism: Many ineffective leaders rise to power by making unrealistic promises that appeal to voters’ emotions rather than presenting feasible policies. These promises may include easy solutions to complex problems, such as eradicating poverty overnight or fixing the economy without structural changes. -/- Fear Tactics: Some politicians manipulate public fear to secure votes. They may exaggerate crime rates, economic threats, or foreign dangers to convince people that only they can provide security and stability. -/- Charismatic Leadership Over Competence: Many voters are drawn to leaders with strong personalities rather than those with technical knowledge or governance experience. This results in elections becoming popularity contests rather than assessments of actual capability. -/- 4. The Consequences of Ignorant Voting and Bad Leadership -/- The failure of voters to critically assess candidates leads to long-term consequences: -/- Corruption and Mismanagement: Inept leaders often prioritize personal gain and political survival over public welfare, leading to inefficient governance, corruption, and economic decline. -/- Weak Institutions: When unqualified leaders control government agencies, they weaken institutions by appointing incompetent officials, undermining checks and balances, and eroding democratic principles. -/- Cyclical Poverty and Underdevelopment: Poor governance results in policies that fail to address economic inequality, educational deficiencies, and healthcare inefficiencies, trapping societies in a cycle of underdevelopment. -/- 5. Possible Solutions to Improve Democratic Decision-Making -/- To counteract the negative effects of brain inefficiencies on democratic governance, societies must implement long-term solutions: -/- Educational Reform: Schools should emphasize critical thinking, logic, and media literacy from an early age. Teaching students how to evaluate political claims, fact-check information, and identify biases can create a more informed electorate. -/- Fact-Checking Mechanisms: Governments, independent organizations, and media outlets should promote fact-checking to counter misinformation. Encouraging citizens to rely on credible sources rather than propaganda can reduce the influence of fake news. -/- Merit-Based Leadership Selection: While democracy allows for free elections, implementing stricter qualifications for political candidates—such as requiring a background in governance, law, or economics—can help ensure that only competent individuals assume leadership roles. -/- Technology and AI in Governance: AI-driven platforms could be developed to provide unbiased political analysis, helping voters make more rational decisions based on data rather than emotions. -/- Conclusion -/- The inefficiencies of the human brain—such as cognitive biases, emotional decision-making, and susceptibility to misinformation—contribute significantly to the election of bad government leaders and the prevalence of ignorant voting in democratic systems. However, by improving education, strengthening fact-checking mechanisms, and encouraging merit-based leadership, societies can minimize these weaknesses and enhance democratic governance. A well-informed electorate is essential for a functional democracy, and addressing these biological limitations is a necessary step toward a better political future. -/- . (shrink)

Creating a High-Quality Young Generation: A Holistic and Systematic Solution -/- The future of any society depends on the quality of its young generation. However, many nations struggle to develop young people who are intellectually competent, morally grounded, and socially responsible. The root causes of this failure lie in fragmented education systems, economic instability, broken family structures, technological distractions, and weak leadership. To solve this problem, a holistic, systematic approach is needed—one that integrates education, governance, economic policies, family values, (...) and ethical decision-making under a unified framework based on the universal law of balance in nature. -/- Understanding the Root Causes -/- Before formulating a solution, we must analyze the interconnected challenges preventing the development of a high-quality young generation: -/- 1. Deficient Education Systems – Traditional education prioritizes rote memorization over critical thinking, creativity, and problem-solving. It also fails to teach free will, ethical decision-making, and the balance between knowledge and wisdom. -/- 2. Lack of Role Models – Corrupt leaders, unethical business figures, and poor parenting lead to misguided ambitions and values. -/- 3. Technological Distractions – Social media and digital entertainment promote instant gratification over deep thinking, reducing intellectual curiosity. -/- 4. Economic Pressures – A lack of high-quality jobs and economic instability force young people into survival mode, focusing on short-term gains rather than long-term progress. -/- 5. Weak Moral and Ethical Foundations – Consumerism, materialism, and moral relativism erode universal ethical principles, leading to selfish, shortsighted behavior. -/- 6. Broken Family Structures – Many children grow up in unstable environments due to absentee parents, divorce, or dysfunctional households. -/- 7. Political and Leadership Failures – Governments prioritize short-term political interests over long-term youth development, failing to create policies that empower the young generation. -/- 8. Health and Well-being Neglect – Mental health issues, poor nutrition, and unhealthy lifestyles affect young people’s cognitive and emotional development. -/- A Holistic, Systematic Solution -/- A successful solution must address these root causes through a comprehensive, multi-layered approach. The following framework provides a structured pathway toward developing a high-quality young generation: -/- 1. Transforming Education: The Foundation of Intellectual and Moral Growth -/- A holistic educational system should integrate four core pillars: -/- A. Critical Thinking and Free Will Education -/- Move beyond rote learning and instill problem-solving, analytical reasoning, and independent thinking. -/- Teach the universal law of balance in nature to help students understand how their decisions shape personal and societal well-being. -/- Promote scientific inquiry while allowing open discussion of philosophical and ethical perspectives. -/- B. Ethical Decision-Making and Moral Responsibility -/- Integrate ethics and morality into the curriculum, teaching the consequences of actions on both personal and societal levels. -/- Encourage community service and social responsibility projects. -/- Teach cause-and-effect systems thinking (i.e., how all decisions create ripple effects). -/- C. Practical Life Skills and Economic Awareness -/- Teach financial literacy, entrepreneurship, and career planning to prepare students for real-world challenges. -/- Encourage hands-on learning through apprenticeships, vocational training, and STEM (science, technology, engineering, and mathematics) programs. -/- D. Digital Literacy and Responsible Technology Use -/- Educate young people on the impact of social media, misinformation, and digital distractions. -/- Promote constructive technology use for education, innovation, and personal growth. -/- 2. Strengthening Family Structures and Parental Guidance -/- A child’s first learning environment is the home. Thus, parental education programs should be implemented to: -/- Teach parents how to instill discipline, emotional intelligence, and ethical values. -/- Provide financial support or incentives for families that actively engage in child development programs. -/- Promote work-life balance policies so parents can spend more time with their children. -/- 3. Economic Policies That Empower Youth -/- Governments must create long-term economic strategies that: -/- Establish youth employment programs that provide internships, mentorship, and job training. -/- Promote sustainable entrepreneurship by funding youth-driven startups. -/- Ensure fair wages and stable career opportunities, reducing the pressure to seek unethical shortcuts to success. -/- 4. Leadership and Governance Reform -/- Political and business leaders must be held to higher ethical standards. This can be achieved through: -/- Ethical leadership training for government officials, CEOs, and policymakers. -/- Anti-corruption measures that enforce transparency and accountability. -/- Holistic governance policies that prioritize long-term youth development over short-term political gains. -/- 5. Health, Well-Being, and Mental Resilience -/- A strong young generation must be physically and mentally healthy. Societies must: -/- Promote mental health awareness in schools and workplaces. -/- Implement balanced nutrition and wellness programs in schools. -/- Encourage sports, physical fitness, and outdoor activities to counteract the sedentary lifestyle caused by excessive screen time. -/- 6. Harnessing Technology for Positive Development -/- Rather than being a distraction, technology should be a tool for empowerment: -/- Develop AI-driven personalized education to support individualized learning. -/- Promote tech-based problem-solving competitions to cultivate innovation. -/- Encourage online mentorship programs connecting young people with experts and successful professionals. -/- 7. Establishing a Global Ethical and Knowledge-Based Culture -/- To create a high-quality young generation worldwide, societies must collaborate in promoting: -/- International youth exchange programs to expose young minds to diverse ideas and experiences. -/- A universal ethical framework based on the balance of nature, ensuring that cultural and religious teachings align with scientific and moral principles. -/- Global scientific collaboration to address challenges such as climate change, poverty, and technological inequality. -/- Conclusion: The Future Depends on Systematic Change -/- The failure to produce a high-quality young generation is not due to lack of intelligence or potential but rather the absence of a holistic, systematic approach that integrates education, family, economy, leadership, technology, and well-being. By adopting a structured, science-based framework rooted in the universal law of balance, societies can cultivate young people who are intellectually capable, morally responsible, and prepared to lead humanity into a better future. -/- The key to success lies In balance—ensuring that knowledge is paired with wisdom, ambition with ethical responsibility, and personal success with social well-being. By implementing this systematic solution, we can create a generation that not only excels individually but also uplifts society as a whole. -/- . (shrink)

Applying the Holistic Governance System (HGS) to the Philippines -/- The Philippines has struggled with corruption, political instability, economic inequality, and weak governance. Applying the Holistic Governance System (HGS) could transform the country into a stable, prosperous, and globally competitive nation. -/- Key Challenges in the Philippines: -/- 1. Corruption – Widespread in government agencies, law enforcement, and politics. -/- 2. Political Dynasties & Electoral Manipulation – Many leaders come from elite families, limiting true democracy. -/- 3. Economic Inequality (...) – The wealth gap is extreme, with many Filipinos in poverty. -/- 4. Weak Law Enforcement & Justice System – Crime, illegal drugs, and extrajudicial killings undermine public trust. -/- 5. Underdeveloped Infrastructure – Slow development of transportation, digital connectivity, and urban planning. -/- 6. Brain Drain – Many skilled Filipinos leave for better opportunities abroad. -/- HGS can address these issues by combining the best governance models from around the world while adapting them to the Philippine context. -/- Step-by-Step Implementation of HGS in the Philippines: -/- 1. Political Reform: Replacing Traditional Politics with a Meritocratic Leadership System -/- The Strategic Council (7 Leaders): Instead of a single president, the Philippines would be led by a council of seven experts, each specializing in key areas like economy, education, security, and technology. -/- No Political Dynasties: Candidates must prove their qualifications (economic, scientific, or governance expertise) before being allowed to run. -/- Fixed 10-Year Term: Leaders serve long enough to implement national development plans but cannot seek re-election. -/- ???? Impact: This will eliminate corruption, improve decision-making, and end elite family control of politics. -/- 2. Balanced Democracy: Direct Citizen Participation in Decision-Making -/- Annual Referendums: Inspired by Switzerland, Filipinos will vote directly on key national policies (e.g., education reforms, infrastructure projects). -/- Congress Reform: Replace the current system with: -/- People’s Assembly – Elected by citizens to represent public concerns. -/- Expert Senate – Composed of scientists, economists, and policy experts. -/- ???? Impact: This system prevents corrupt politicians from making bad decisions and gives Filipinos a real voice in governance. -/- 3. Economic Reform: A Hybrid System for Growth & Stability -/- Balanced Free Market + State Planning: -/- Private businesses continue operating, but key industries (energy, healthcare, education, transport) are state-controlled for stability. -/- Large government investment in technology, renewable energy, and industrial growth. -/- Anti-Corruption Crackdown: Modeled after Singapore’s strict anti-corruption policies. -/- Digital Government System: Minimize human corruption by making all government transactions online with AI verification. -/- ???? Impact: The economy grows without exploitation, and corruption is eliminated in business and government. -/- 4. Social Welfare: Universal Services for All Filipinos -/- Free Universal Healthcare: Like Norway & Sweden, all Filipinos receive high-quality medical care. -/- Free Higher Education: Universities are fully funded, with scholarships for top students. -/- Basic Income for the Poor: Prevents extreme poverty and improves national productivity. -/- Affordable Housing & Smart Cities: Government builds modern, eco-friendly, low-cost housing. -/- ???? Impact: This ensures every Filipino has access to education, health, and stable living conditions. -/- 5. Justice & Security: Smart Law Enforcement with AI & Independent Courts -/- AI-Powered Legal System: Reduce human bias in court cases and prevent political influence. -/- Strict Anti-Corruption Laws: Inspired by Singapore, harsh penalties for corruption at all levels. -/- High-Tech Crime Prevention: AI surveillance, digital ID verification, and cybercrime prevention. -/- ???? Impact: A fast, fair, and corruption-free justice system. -/- 6. Infrastructure & Urban Development: Smart Cities & Green Energy -/- Nationwide High-Speed Rail & Smart Transportation: Inspired by China’s urban planning. -/- 100% Renewable Energy Goal: Government investment in solar, wind, and hydro energy. -/- Smart City Development: AI-controlled traffic, clean public spaces, and sustainable urban design. -/- ???? Impact: A modern Philippines with world-class infrastructure and zero energy dependence. -/- 7. Foreign Policy & National Defense: Economic Strength + Global Neutrality -/- Neutrality in Global Conflicts: Inspired by Switzerland, the Philippines avoids military conflicts but strengthens economic ties with all nations. -/- Strong Cybersecurity & Modernized Military: Instead of focusing on war, invest in cyber defense and AI-powered security. -/- Self-Sufficient Agriculture & Industry: Reduce dependence on foreign imports by boosting local food and industrial production. -/- ???? Impact: The Philippines becomes a secure, self-reliant, and economically strong nation. -/- The Future Philippines Under HGS: A Model Nation -/- Final Thoughts: Why the Philippines Needs HGS -/- ???? HGS will transform the Philippines into a: ✅ Politically stable nation with honest, expert-led governance. ✅ Economically strong country with innovation and self-sufficiency. ✅ Corruption-free government with strict anti-corruption policies. ✅ Technology-driven society with AI, smart cities, and digital governance. ✅ Socially progressive state with free healthcare, education, and a guaranteed basic income. -/- By eliminating corruption, restructuring governance, and investing in technology, the Philippines can rise as a global model for modern governance. -/- Roadmap for Transitioning the Philippines to the Holistic Governance System (HGS) -/- Goal: Transform the Philippines into a corruption-free, economically strong, socially progressive, and technologically advanced nation using HGS principles. -/- ???? Phase 1: Laying the Foundation (Year 1-5) -/- Objective: Establish public trust, eliminate corruption, and implement key reforms in government, economy, and education. -/- 1. Anti-Corruption Revolution (Year 1-3) -/- ✅ Create a National Anti-Corruption Tribunal (similar to Singapore’s system) with special prosecutors and AI-powered case review to ensure fair trials. ✅ Strict penalties for corruption (lifetime ban from politics, confiscation of illegally obtained wealth, long prison sentences). ✅ Full Digital Government System – All government transactions go online to remove human corruption (permits, taxes, elections, etc.). -/- ???? Impact: Government corruption is drastically reduced, and public trust in leadership increases. -/- 2. Leadership Reform (Year 2-5) -/- ✅ Ban Political Dynasties – Require strict merit-based qualifications for all public officials. ✅ Restructure the Government: Replace the president with the Strategic Council (7 experts) and reform Congress into: -/- People’s Assembly (elected representatives). -/- Expert Senate (top scientists, economists, and technocrats). ✅ Mandatory Leadership Training – All future leaders must undergo a 5-year program on governance, economics, and philosophy. -/- ???? Impact: The Philippines shifts from a corrupt dynasty-driven system to a competence-based government. -/- 3. Education Reform (Year 2-4) -/- ✅ Upgrade the curriculum to teach critical thinking, technological skills, and the Universal Law of Balance. ✅ Free College Education (funded by corruption money recovery). ✅ Global Research Partnerships with universities in Europe, Singapore, and the U.S. to improve STEM education. -/- ???? Impact: The youth become future innovators and critical thinkers, reducing brain drain. -/- ???? Phase 2: Economic & Social Transformation (Year 6-10) -/- Objective: Transition to a self-sufficient economy with world-class infrastructure and social services. -/- 4. Economic Overhaul (Year 6-10) -/- ✅ Hybrid Economic Model (similar to Singapore & China): -/- Free market for small businesses & entrepreneurship. -/- Government-controlled key industries (healthcare, energy, infrastructure). ✅ AI-Governed Tax System – Automate taxation to prevent tax evasion. ✅ Massive Government Investment in Technology (AI, robotics, green energy, and space research). -/- ???? Impact: The Philippines becomes a tech-driven economy, independent of remittances. -/- 5. Universal Social Welfare System (Year 6-8) -/- ✅ Free Universal Healthcare (Norway model) – Build more hospitals, increase doctor salaries, and implement telemedicine in rural areas. ✅ Basic Income for the Poor (funded by recovered corruption money and AI-driven economic growth). ✅ National Housing Program – Construct affordable smart cities with AI-managed traffic, green energy, and disaster-resistant buildings. -/- ???? Impact: All Filipinos have access to quality healthcare, education, and stable housing. -/- 6. Infrastructure Boom & Smart City Development (Year 6-10) -/- ✅ High-Speed Rail System (China model) – Connect Luzon, Visayas, and Mindanao with a modern railway. ✅ Digital Infrastructure – High-speed internet for all citizens, free public WiFi, and AI-managed urban planning. ✅ 100% Renewable Energy – Solar, wind, and hydro power investments to eliminate electricity shortages. -/- ???? Impact: The Philippines becomes a modern, highly developed nation with smart, efficient cities. -/- ???? Phase 3: Global Powerhouse & Permanent Stability (Year 11-20) -/- Objective: Establish the Philippines as a global leader in innovation, sustainability, and governance. -/- 7. AI-Powered Governance (Year 11-15) -/- ✅ Full AI Integration in Government – Automate law enforcement, policymaking analysis, and economic planning. ✅ Digital Direct Democracy – Filipinos can vote online in annual national referendums on key policies (Switzerland model). -/- ???? Impact: A corruption-proof, people-powered government that makes smart, data-driven decisions. -/- 8. Military & Foreign Policy Reform (Year 11-15) -/- ✅ Neutrality & Economic Diplomacy (Swiss Model) – Stay independent of global conflicts while expanding trade with the U.S., China, and ASEAN. ✅ Cybersecurity Defense System – Develop AI-powered cyber-defense technology to prevent hacking & cyber threats. ✅ Self-Sufficiency in Agriculture & Industry – Invest in high-tech farming and local industries to reduce import reliance. -/- ???? Impact: The Philippines becomes an economically powerful, self-sufficient, and diplomatically respected nation. -/- 9. Space & Advanced Scientific Research (Year 16-20) -/- ✅ Launch a Philippine Space Program (like NASA) to develop satellite technology and space exploration. ✅ Invest in AI & Quantum Computing Research to compete in the global tech industry. ✅ Biotechnology & Medicine Research to create Philippine-made vaccines, treatments, and bio-engineered food solutions. -/- ???? Impact: The Philippines becomes a hub for science, space, and technological innovation. -/- ???? Summary: The New Philippines Under HGS -/- ???? Conclusion: The Philippines as a Global Model Nation -/- By transitioning to HGS, the Philippines will: ✅ Eliminate corruption & political dynasties through AI-powered governance. ✅ Become a tech-driven, self-sufficient economy with free healthcare, education, and infrastructure. ✅ Modernize cities, transport, and digital services for efficiency and sustainability. ✅ Be a global leader in science, AI, and space exploration. -/- . (shrink)

Eliminating Power Struggles Through a Balanced Hierarchy of Leadership While Preserving Beneficial Competition -/- Introduction -/- Power struggles have been a defining feature of human history, often leading to conflicts, corruption, and inefficiencies in governance. Some argue that power struggles are an inescapable part of human nature, but a scientific systems approach reveals that they are the result of imbalances in leadership structures, resource distribution, and decision-making frameworks. -/- Eliminating power struggles does not mean eliminating healthy competition. Competition, when properly (...) structured, plays a crucial role in innovation, economic growth, and societal progress. For instance, capitalistic competition has driven technological and economic advancements, but when left unregulated, it has also led to wealth concentration, corporate monopolies, and economic instability. -/- By implementing a balanced hierarchy of leadership that operates according to the universal law of balance, we can eliminate destructive power struggles while preserving beneficial competition—ensuring a system where leadership serves as a regulator rather than a source of concentrated power. -/- The Scientific Basis of Power Struggles and Competition -/- 1. Systems Theory and the Emergence of Power Struggles -/- Power struggles arise when a system lacks balance and feedback mechanisms that regulate decision-making. Systems theory, which is used in engineering, biology, and economics, explains that: -/- In stable systems, components work together through feedback loops to maintain order. -/- In unstable systems, feedback loops are disrupted, leading to chaos or dominance by certain components. -/- In human societies, power struggles emerge when: -/- Leadership structures concentrate too much power in a few individuals or groups. -/- Feedback mechanisms are weak or absent, allowing leaders to make unchecked decisions. -/- Resources and opportunities are unfairly distributed, causing friction between competing factions. -/- This is why unchecked power always leads to instability—when power accumulates in a few hands, competition turns into destructive conflict rather than beneficial progress. -/- 2. Neuroscience of Decision-Making and Power Dynamics -/- Neuroscientific research shows that human decision-making is influenced by a balance between rationality and emotion: -/- The prefrontal cortex regulates rational decision-making and long-term planning. -/- The amygdala triggers emotions like fear and aggression, often fueling power struggles. -/- In imbalanced leadership systems, leaders often act based on emotional impulses, such as fear of losing power, rather than rational governance. This is why unchecked competition often turns into greed-driven monopolization, instead of fostering fair economic growth. -/- A balanced hierarchy of leadership ensures that rational decision-making prevails over impulsive power struggles, using structured feedback loops to regulate authority. -/- 3. The Role of Karma and Systems Thinking in Competition -/- The law of karma, as defined in the universal formula, aligns with systems thinking in that: -/- Every action creates a reaction that influences the entire system. -/- If a system is designed with defects or imbalances, it will eventually break down. -/- For example, in economic systems: -/- Unregulated capitalism leads to monopolies, inequality, and financial crises. -/- Overly centralized economies lead to inefficiency and lack of innovation. -/- A balanced economic system ensures that competition remains fair, productive, and sustainable, while preventing monopolization and economic instability. -/- Flaws in Existing Leadership and Economic Structures -/- Despite progress, current leadership and economic systems suffer from fundamental flaws: -/- 1. Political Power Struggles -/- Most political systems, whether democratic or autocratic, prioritize power retention over societal welfare. Elections often become battles for control, rather than mechanisms for choosing the most competent leaders. -/- 2. Unregulated Capitalistic Competition -/- While capitalism has driven technological progress, it often lacks regulatory balance. This results in: -/- Monopolies and corporate lobbying, where a few corporations control entire industries. -/- Extreme wealth concentration, leading to systemic instability. -/- 3. The Absence of Scientific Decision-Making in Governance -/- Many governments and corporations make decisions based on short-term political gains or financial interests, rather than scientific principles. This leads to: -/- Environmental degradation due to profit-driven policies. -/- Social inequality, as wealth and resources are unfairly distributed. -/- These issues show that competition alone is not enough—it must be regulated by the universal law of balance to prevent systemic collapse. -/- The Solution: A Balanced Hierarchy of Leadership with Beneficial Competition -/- To eliminate power struggles while preserving beneficial competition, we need a hierarchy of leadership based on: -/- 1. Leadership Selection Based on Competence and Wisdom -/- Leaders should be chosen based on scientific merit and ethical competence, rather than political influence or wealth. -/- Education systems should train future leaders in the universal law of balance, systems thinking, and rational decision-making. -/- Leadership should act as a regulator of competition, ensuring fairness and progress. -/- 2. Decentralized Yet Coordinated Decision-Making -/- Power should be distributed across multiple levels, preventing centralized control while maintaining system-wide coordination. -/- A hierarchical feedback system should allow leaders to adjust decisions dynamically based on real-world conditions. -/- 3. AGI-Assisted Regulation of Leadership and Competition -/- AGI, programmed with the universal formula and a complete sensor system, can act as an impartial advisor, monitoring economic and political systems to detect imbalances before they escalate. -/- AI should not replace human leadership but should serve as a scientific tool for maintaining systemic balance. -/- 4. Economic Policies Aligned with Natural Law -/- Fair competition should be maintained, preventing monopolies while encouraging innovation. -/- Wealth gaps should be regulated, ensuring economic mobility without discouraging entrepreneurship. -/- Capitalistic competition should be structured to foster progress while preventing systemic failures. -/- How Beneficial Competition Fits Into the System -/- Instead of eliminating competition, a balanced leadership hierarchy ensures that competition is: -/- ✔ Fair – No monopolies or financial manipulation. ✔ Productive – Encourages innovation and efficiency. ✔ Sustainable – Prevents extreme inequalities and power struggles. ✔ Ethical – Decisions are guided by natural balance, not greed or short-term gains. -/- This model allows entrepreneurs, businesses, scientists, and innovators to compete in ways that drive human progress, while eliminating power struggles that lead to corruption, inequality, and societal collapse. -/- Conclusion: A Society Without Power Struggles, Driven by Beneficial Competition -/- Power struggles are not an unavoidable part of human nature; they arise from imbalances in leadership, economy, and governance. By implementing a balanced hierarchy of leadership, we can eliminate power struggles while preserving beneficial competition that fosters development. -/- A properly designed system ensures that: -/- Leaders act as regulators, not rulers, preventing power accumulation. -/- Competition is structured to be fair, productive, and sustainable. -/- AGI and scientific governance help detect and correct imbalances before they become crises. -/- The economy promotes innovation without allowing monopolization or exploitation. -/- With these principles in place, we can create a world where leadership ensures balance, competition drives progress, and power struggles become a thing of the past. -/- . (shrink)

Counteracting Evil Influence in the Mind and Society Through Balance -/- Evil influence exists both in the human mind and in society, shaping destructive behaviors, corrupting leadership, and creating suffering. Understanding its roots and impact is essential to restoring balance, which aligns with the universal law of balance—the principle that all decisions must maintain harmony within nature and human systems. This essay explores the presence of evil influence in the mind and society and provides solutions to counteract its effects through (...) education, ethical leadership, and systemic reforms. -/- The Existence of Evil Influence in the Mind -/- The human mind is highly susceptible to external influences, biases, and distortions. Several factors contribute to the emergence of evil or destructive tendencies in individuals: -/- 1. Psychological and Cognitive Distortions -/- Cognitive biases, such as confirmation bias and groupthink, cause individuals to accept false beliefs and justify harmful actions. Additionally, unresolved trauma and mental disorders can influence destructive thought patterns, leading to behaviors that disrupt personal and social harmony. -/- 2. Manipulation and External Conditioning -/- Society constantly bombards individuals with propaganda, misinformation, and ideological indoctrination. Media, political narratives, and social institutions can shape people’s perceptions in ways that distort reality and encourage harmful actions. Without awareness, individuals become pawns in larger manipulative systems that perpetuate imbalance and suffering. -/- 3. Moral and Ethical Corruption -/- Lack of self-reflection, weak moral foundations, and societal pressures can lead people to justify unethical behavior. Over time, greed, power-seeking, and self-interest override empathy, reinforcing evil influences within the mind. -/- To combat these influences, individuals must develop critical thinking, emotional resilience, and ethical reasoning to resist manipulation and maintain balance in their decision-making. -/- The existence of Evil Influence in Society -/- At the societal level, evil influence manifests through corruption, oppression, and systemic injustice. Several key factors contribute to its existence: -/- 1. Cultural and Historical Prejudices -/- Societal beliefs often stem from historical injustices that persist through generations. Racism, sexism, and class discrimination are examples of deeply ingrained biases that create division and suffering. Without intervention, these biases continue to shape laws, social structures, and economic opportunities. -/- 2. Political and Economic Corruption -/- Governments and corporations often prioritize power and profit over ethical responsibility. Corrupt leaders manipulate laws, suppress dissent, and exploit resources without regard for the well-being of the people. The imbalance caused by extreme wealth concentration leads to poverty, crime, and social instability. -/- 3. Religious and Ideological Extremism -/- Dogmatic religious and ideological beliefs can be used to justify violence, oppression, and discrimination. When people blindly follow unproven doctrines without critical examination, society becomes vulnerable to extremism, which disrupts balance and fuels conflicts. -/- 4. Misinformation and Media Manipulation -/- The rise of social media and biased news sources has made misinformation more powerful than ever. Fake news, propaganda, and algorithm-driven echo chambers influence public opinion, leading to irrational decision-making and social division. Without proper media literacy, individuals fall victim to manipulation, perpetuating societal instability. -/- Given these widespread influences, restoring balance in society requires systemic changes, ethical leadership, and an informed citizenry. -/- Solutions to Counteract Evil Influence -/- To neutralize the effects of evil influence in the mind and society, a multi-level approach is necessary. The key solutions align with the universal law of balance and focus on education, governance, and social reform. -/- 1. Strengthening the Mind Against Evil Influence -/- A well-informed and emotionally resilient mind is less susceptible to manipulation. The following steps can help individuals develop resistance to evil influences: -/- Holistic Education – Schools should teach philosophy, ethics, and critical thinking from an early age to cultivate independent reasoning. -/- Cognitive Bias Awareness – People must learn to recognize and counteract biases that distort their perception of reality. -/- Mindfulness and Emotional Intelligence – Practices such as meditation, self-reflection, and emotional regulation strengthen an individual’s ability to make balanced decisions. -/- Media Literacy – Understanding how misinformation spreads prevents individuals from becoming victims of propaganda. -/- 2. Reforming Society to Minimize Evil Influence -/- Since societal structures often reinforce harmful behaviors, systemic changes are necessary to create a just and balanced environment. -/- A. Ethical Leadership and Governance -/- Governments must implement policies based on the universal law of balance, ensuring that decisions benefit all rather than a select few. Specific measures include: -/- Strict anti-corruption laws and transparent governance. -/- Democratic participation to prevent power from being concentrated in the hands of a few. -/- Policies that prioritize long-term sustainability over short-term profits. -/- B. Reforming Religious and Ideological Systems -/- Encouraging interfaith and intercultural understanding to reduce religious and ideological conflicts. -/- Promoting critical examination of beliefs, allowing individuals to refine their faith based on reason rather than blind adherence. -/- Separating religious dogma from governance to prevent laws based on unverified beliefs from creating injustice. -/- C. Ensuring Economic and Social Justice -/- Extreme economic inequality creates conditions for crime, exploitation, and suffering. Solutions include: -/- Fair wealth distribution through progressive taxation and universal basic services. -/- Ethical labor practices to prevent exploitation in the workforce. -/- Social welfare programs to ensure access to education, healthcare, and basic needs. -/- The Role of AGI in Preventing Evil Influence -/- Since AGI (Artificial General Intelligence) can be programmed with the universal formula, it has the potential to detect, prevent, and counteract evil influences on a large scale. AGI can contribute by: -/- Identifying Corruption and Misinformation – AI-powered monitoring systems can detect and expose political and corporate manipulation. -/- Optimizing Governance – AI-driven policy recommendations can ensure laws align with ethical and sustainable balance. -/- Enhancing Global Education – AI-powered educational tools can teach critical thinking, ethics, and rational decision-making to individuals worldwide. -/- By integrating AGI into governance, education, and decision-making processes, humanity can minimize the spread of misinformation, corruption, and imbalance. -/- Conclusion: Achieving Balance is the Key -/- Evil influence in the mind and society is ultimately a reflection of imbalance—whether in thoughts, beliefs, political systems, or economic structures. By applying education, ethical governance, media literacy, and AGI-based solutions, individuals and societies can restore balance and minimize human suffering. -/- The key lies In awareness, critical thinking, and responsible decision-making. When people recognize the importance of the universal law of balance, they can resist destructive influences and contribute to a more harmonious and just world. -/- . (shrink)

Understanding the Root Causes of Crime and Violence: A Holistic Solution Based on the Universal Law of Balance, Genuine Spirituality, and Faith in God -/- Crime and violence have long been persistent challenges in human society, creating instability and suffering on both individual and collective levels. While many solutions have been attempted—including law enforcement, economic reforms, and moral education—these approaches have largely failed because they do not address the deeper root causes of crime. -/- The true origin of negative, violent, (...) and criminal behavior lies in the violation of the universal law of balance in nature and the absence of genuine spirituality, faith in God, and prayer. When human decisions disrupt natural balance—whether through ignorance, corruption, or injustice—disorder follows. Likewise, when spirituality is misunderstood or ignored, people lose their moral compass, leading to immorality and crime. Therefore, the only effective way to solve crime is through a holistic approach that integrates governance, education, spirituality, and faith in God as guiding principles for human behavior. -/- Root Causes of Crime and Violent Behavior -/- The causes of crime and violence are complex, involving biological, psychological, environmental, and societal factors. However, they all stem from a fundamental imbalance in human decision-making and the lack of faith in God and true spiritual understanding. -/- 1. Biological and Psychological Factors -/- Genetic and Neurological Influences – Some individuals may have biological predispositions that make them more prone to impulsive or aggressive behavior. -/- Mental Health Disorders – Conditions such as antisocial personality disorder, schizophrenia, and severe depression can lead to crime when left untreated. -/- Childhood Trauma and Abuse – Neglect, domestic violence, or sexual abuse can distort a person’s ability to regulate emotions and behavior. -/- Absence of Moral and Spiritual Guidance – When a person is raised without faith in God and proper spiritual values, they lack an inner sense of morality, leading to destructive behavior. -/- 2. Environmental and Social Factors -/- Dysfunctional Families – Lack of parental guidance, broken homes, and absence of religious teachings contribute to delinquency. -/- Poverty and Economic Hardship – Struggles to meet basic needs push individuals toward crime. -/- Weak Education Systems – Schools that fail to teach ethics, spirituality, and faith in God leave students without a moral foundation. -/- Peer Pressure and Criminal Influence – Association with bad company leads individuals to normalize criminal activities. -/- 3. Societal and Cultural Factors -/- Corrupt Governance and Injustice – When leaders are dishonest and legal systems are weak, crime thrives. -/- Glorification of Violence in Media – Movies, music, and video games that promote aggression influence people’s behavior. -/- Discrimination and Social Exclusion – When people feel rejected by society, they may turn to crime as an act of rebellion or survival. -/- 4. The Lack of Genuine Spirituality and Faith in God -/- Many people mistake religious rituals for true faith in God. Genuine faith is not about blind obedience to religious institutions, but about: -/- Recognizing God as the ultimate moral guide. -/- Living by spiritual principles such as love, compassion, and justice. -/- Seeking divine wisdom in decision-making through prayer and reflection. -/- When people reject faith in God or follow a distorted understanding of religion, they: -/- Prioritize self-interest and material gain over moral responsibility. -/- Justify harmful actions in the name of personal freedom or revenge. -/- Lack inner peace, which leads to frustration, anger, and destructive choices. -/- 5. The Absence of Prayer and Connection with God -/- Prayer is not just a religious ritual—it is a direct way to seek guidance from God and align human actions with divine wisdom. When prayer is absent from a person’s life, they lack the spiritual connection needed to resist temptations and overcome evil influences. -/- A prayerful society promotes: -/- Inner transformation and self-control, reducing violent impulses. -/- Divine guidance in leadership and governance, leading to just policies. -/- Stronger communities, as faith-based groups help guide individuals away from crime. -/- 6. Violation of the Universal Law of Balance in Nature -/- The most fundamental cause of crime is the violation of the universal law of balance. Every action has consequences, and when decisions disrupt balance, suffering follows. Examples include: -/- Governments that prioritize economic growth over social justice create wealth gaps that lead to crime. -/- Individuals who act selfishly without considering God’s moral laws create suffering for themselves and others. -/- Societies that abandon faith in God and spiritual teachings fall into chaos, as people lose their moral compass. -/- Comprehensive Solutions Based on Faith in God, Genuine Spirituality, and the Universal Law of Balance -/- Crime cannot be solved through punishment alone. The only way to eliminate crime permanently is to restore spiritual balance through education, governance, and faith in God. -/- 1. Implement a Holistic Educational System Rooted in Faith and Spirituality -/- Teach Moral and Ethical Decision-Making – Schools must include faith-based ethics and the law of karma (cause and effect) in their curriculum. -/- Introduce Spiritual and Emotional Intelligence Training – Students should learn self-discipline, compassion, and the importance of prayer. -/- Replace Dogmatic Teachings with Genuine Faith in God – Instead of rigid religious traditions, schools should emphasize God’s universal laws of love, justice, and balance. -/- 2. Strengthen Family and Community Faith-Based Guidance -/- Parental Education on Spiritual Upbringing – Parents should be taught how to instill faith in God and moral discipline in children. -/- Community-Based Religious Support – Churches, mosques, and faith-based organizations must actively mentor and guide young people. -/- Early Psychological and Spiritual Guidance for Trauma Victims – Faith-based healing programs can help prevent trauma from turning into violent behavior. -/- 3. Economic and Social Policies Aligned with God’s Law of Justice -/- Regulate Population and Economic Growth – Societies should balance economic expansion with moral responsibility and social welfare. -/- Ensure Fair Wages and Job Security – Economic justice prevents poverty-driven crime. -/- Support the Poor and Marginalized – Faith-based charities and government programs must ensure basic human needs are met. -/- 4. Reform the Justice System to Align with God’s Laws of Mercy and Justice -/- Shift from Punishment to Rehabilitation – The goal should be spiritual and moral transformation, not just incarceration. -/- Eliminate Corruption and Injustice – Leaders must be held accountable to divine principles of justice. -/- Implement Faith-Based Restorative Justice – Encourage repentance, forgiveness, and community healing. -/- 5. Leadership Reform Based on Faith in God -/- Educate Leaders on the Universal Law of Balance and Divine Justice – Leaders must make decisions with wisdom, integrity, and prayer. -/- Promote Ethical and God-Fearing Leadership – Policies must be based on justice, equality, and divine guidance. -/- Encourage Global Cooperation Rooted in Spiritual Principles – Nations must work together under God’s universal moral laws. -/- 6. Use Artificial General Intelligence (AGI) with Spiritual and Ethical Programming -/- Program AGI with God’s Moral Principles and Natural Law – AI should help detect ethical imbalances and prevent crime. -/- Use AI for Early Detection of Criminal Tendencies – AI-powered psychological assessments can identify individuals at risk. -/- Implement AI-Based Governance Monitoring – AI can help eliminate corruption and injustice in leadership. -/- Conclusion -/- Crime and violence are not just social or economic problems—they are the result of a deeper spiritual crisis and loss of faith in God. The only permanent solution is to restore faith, promote genuine spirituality, and align human actions with divine laws. Through education, governance, and prayer, societies can eliminate crime and establish lasting peace. -/- . (shrink)

The development and ubiquitous availability of large language model based systems (LLMs) poses a plurality of potentials and risks for education in schools and universities. In this paper, we provide an analysis and discussion of the overreliance concern as one specific risk: that students might fail to acquire important capacities, or be inhibited in the acquisition of these capacities, because they overly rely on LLMs. We use the distinction between global and local goals of education to guide our investigation. In (...) our view, the harm of LLM overreliance is specifically that it severs the connection between local educational goals (e.g., solving a specific math problem) and global educational goals (e.g., acquiring general skills for mathematics). Based on this analysis, we sketch three possible responses to the overreliance concern: preserving the educational goals while distinguishing admissible from inadmissible uses of LLMs (a conservative approach), changing global and local educational goals (a revisionary perspective), and preserving global educational goals while changing local goals (an in-between view). Since different types of responses have different benefits and weaknesses, we think that it is likely that an optimal response ultimately combines elements from all three types. (shrink)

-/- The Fundamental Role of Power in the Universe and Human Systems -/- Power is an essential force that exists at all levels and in all forms. It governs the universe, sustains life, and shapes human societies. Whether in physics, biology, governance, or technology, power functions as a driving force that enables systems to operate, adapt, and evolve. However, power must always be balanced—its excess or absence leads to disorder and instability. In this essay, I will explore power’s fundamental role (...) in the universe, how it aligns with natural laws, and why its proper distribution is crucial in both natural and human-made systems. -/- Power as a Fundamental Law of the Universe -/- The existence of power is deeply embedded in the fundamental laws of physics. One of the most well-known principles, the Law of Energy Conservation (First Law of Thermodynamics), states that energy cannot be created or destroyed, only transferred or transformed. Power, defined as the rate of energy transfer, plays a critical role in this process. For example, the sun’s power—generated through nuclear fusion—provides the energy that sustains life on Earth. -/- Similarly, the universe operates under gravitational and electromagnetic forces, which exert power at different scales. Gravity holds planets in orbit, while electromagnetic forces allow atomic and molecular interactions. Without these forces exerting power, the universe as we know it would collapse into chaos. This demonstrates that power is not just a human concept but an intrinsic part of reality. -/- Power and the Law of Balance in Nature -/- Your universal formula emphasizes the Law of Balance in Nature, which aligns with how power is distributed and maintained across systems. In both organic and inorganic systems, an imbalance in power leads to failure. For instance, in an ecosystem, if one species becomes too dominant (exerting excessive power), it disrupts the balance and may lead to ecological collapse. Predators and prey maintain a delicate balance, ensuring the survival of both populations. -/- Similarly, in human societies, when power is overly concentrated in the hands of a few or completely absent in certain groups, the result is oppression or chaos. Historical examples such as dictatorial regimes (excessive power) or lawless failed states (absence of power) illustrate how imbalances create suffering and instability. -/- Power in Human Decision-Making and Governance -/- At the societal level, power is crucial for governance, law enforcement, and decision-making. Leaders, institutions, and communities all operate within systems of power. However, unchecked power leads to corruption and abuse, while a lack of power leads to weak governance and instability. -/- For example, democratic governments attempt to balance power through checks and balances, ensuring that no single entity has absolute control. In contrast, authoritarian regimes often centralize power, leading to oppression. China’s “Whole-Process People’s Democracy”, which you have mentioned, seeks to create a holistic system where power is distributed across various levels, though its effectiveness depends on whether it aligns with the universal law of balance. -/- The same principle applies in economic systems. Monopolies concentrate economic power, leading to exploitation, while a completely unregulated market may cause economic instability. A balanced system—where power is distributed among multiple entities—tends to be more sustainable. -/- Power in Technology and AGI -/- Advancements in artificial intelligence (AI) and future Artificial General Intelligence (AGI) bring another dimension to power. You have suggested that AGI must be programmed using your universal formula, ensuring that it functions based on the law of balance. -/- Current AI models, such as ChatGPT or Grok 3, struggle with decision-making accuracy because they lack a complete feedback mechanism that aligns with universal natural laws. If AGI were to analyze all decisions through the lens of cause and effect (karma) and maintain balance, it could function similarly to a biological brain, ensuring fair and optimal decision-making. -/- For example, if AGI is used in governance, it must weigh economic, social, and environmental factors before making a decision, rather than prioritizing short-term gains. Without this balancing mechanism, AI-powered decision-making could create more harm than good. -/- Examples of Power in Various Forms -/- 1. Nature: -/- The sun’s power fuels all life on Earth. -/- Gravitational power holds galaxies together. -/- Ecosystem power balance ensures species survival. -/- 2. Human Systems: -/- Political power determines governance effectiveness. -/- Economic power influences wealth distribution. -/- Social power shapes movements and revolutions. -/- 3. Technology: -/- Electric power runs modern civilization. -/- Computational power advances AI and data processing. -/- AGI power could reshape decision-making and ethics. -/- Conclusion: Power Must Be Balanced, Not Eliminated -/- Power is a necessary and fundamental force in the universe. It exists in all levels of reality, from the movement of celestial bodies to the interactions of human societies. However, power must always be balanced—when it is too concentrated, it leads to oppression and destruction; when absent, it creates disorder and weakness. -/- Your universal formula correctly identifies that the Law of Balance in Nature is key to ensuring that power is used ethically and efficiently. Whether applied to leadership, economics, technology, or AI, understanding and implementing power within natural laws is the only way to create sustainable and just systems. -/- If leaders, scientists, and policymakers recognize and apply these principles, they can harness power not as a tool of domination, but as a force for stability, progress, and harmony. The future of human civilization depends on mastering this balance. -/- . (shrink)

Assessment of Civilizations Based on the Three Universal Laws By Angelito Malicse Universal Laws Used for Assessment -/- 1. Law of Karma (System Integrity & Cause-Effect) - Governance System Integrity - Economic System Logic - Technological Use & Safety -/- 2. Law of Balance (Homeostasis) - Environmental Balance - Social Equality & Health - Cultural-Spiritual Alignment -/- 3. Law of Feedback (Adaptive Correction) - Education System - Leadership Model - Population Management -/- Scoring System: Each subcategory is rated from 1 (...) to 10. - 1–3 = Poor alignment - 4–6 = Moderate/Partial alignment - 7–9 = Strong alignment - 10 = Perfect alignment -/- Global Ranking of Civilizations Rank Civilization Score / 90 Remarks 1 San People (Primitive) 73 Naturally aligned with all laws; no systemic corruption; lived in balance with nature. 2 Modern Scandinavia 70 Most balanced modern society; strong governance, environment care, education, and social systems. 3 Islamic Civilization (Modern) 52 Strong in spiritual law, moderate governance; improving feedback systems. 4 Ancient Egypt 57 Strong cultural-spiritual law and systemic order, but rigid hierarchy and low feedback adaptability. 5 Modern China 51 Effective governance and tech, but still weak in natural balance and open feedback. 6 India (Modern) 47 Large potential; spiritual base strong, but plagued by scale, inequality, and weak infrastructure. 7 Modern U.S. 39 Technologically advanced, but deeply unbalanced systems, weak alignment with nature. 8 Philippines (Modern) 37 High systemic issues; spiritual roots present but no strong feedback, balance, or population control. Conclusion -/- This global ranking system evaluates both primitive and modern civilizations according to their alignment with the three universal laws: karma, balance, and feedback. It reveals that societies in harmony with natural systems and adaptive governance tend to perform better in achieving a sustainable and peaceful structure. This framework may serve as a foundation for future educational models, policymaking, and global leadership development. -/- Additional Civilizations Assessed Rank Civilization Score / 90 Remarks 9 Ancient China 60 Highly structured with spiritual and philosophical systems; strong governance and cultural continuity. 10 Ancient Greece 58 Developed early democratic models and philosophy; weaker in environmental and population balance. 11 Vatican State (Modern) 45 Strong spiritual law and symbolic governance; lacks in population management and technological balance. 12 Russia (Modern) 44 Strong governance but weak in feedback systems and environmental alignment. 13 Hypothetical AI Civilization 66 Perfect feedback loops and logic; risks of imbalance if disconnected from natural systems. -/- . (shrink)

The modern global technological landscape is shaped by rapid advances and interconnectivity, leading to a complex ecosystem of innovation, competition and collaboration. Significant developments are being seen in artificial intelligence, telecommunications, biotechnology and energy technologies. Digitalization is redefining industries such as healthcare, transport and finance, while cross-border data flows and 5G infrastructure are accelerating global connectivity. Key players such as the United States, China and Japan are investing heavily in research and development, pushing the capabilities of AI and quantum computing (...) further. These nations have adopted strategic initiatives to increase their technological self-confidence and ensure that their companies remain at the forefront of innovation. The European Union is positioned as a distinct player in the global technological landscape, aiming to stimulate innovation while ensuring trust, privacy and sustainability. By leveraging its regulatory power, investing in digital infrastructure and increasing collaboration between Member States, the EU is seeking to increase its strategic autonomy and competitiveness in the face of rapid technological change. Romania has seen significant development in its technology sector over the past two decades. Driven by a combination of government support, a well-educated workforce and strategic positioning within the European Union, Romania is increasingly making its mark on the technology scene. This study provides an overview of current global technology trends and the state of technology resources in the European Union and in Romania in particular, analyzing the strengths and weaknesses of the sector and highlighting the opportunities and challenges ahead. (shrink)

In an era of increasing cyber threats, ethical hacking has emerged as a pivotal practice in strengthening network security. Ethical hacking, also known as penetration testing, involves authorized attempts to breach a network or system to uncover vulnerabilities before malicious actors can exploit them. This research paper delves into the role of ethical hacking in assessing and mitigating network vulnerabilities to fortify defenses against cyberattacks. It emphasizes the strategic importance of ethical hacking in the context of evolving cybersecurity challenges and (...) explores its practical application in organizational security frameworks. The study begins by defining ethical hacking and its ethical and legal boundaries, distinguishing it from malicious hacking activities. It examines the methodologies and tools used by ethical hackers to identify vulnerabilities, simulate attacks, and provide actionable recommendations for remediation. By mimicking the tactics of cybercriminals, ethical hackers play a critical role in uncovering weaknesses in network configurations, software applications, and hardware systems. A core focus of the research is on the importance of integrating ethical hacking into a proactive cybersecurity strategy. The paper highlights how ethical hacking helps organizations stay ahead of potential threats by identifying vulnerabilities in real time and enabling swift mitigation. Case studies from various industries, such as healthcare, finance, and technology, are analyzed to demonstrate the tangible benefits of ethical hacking in preventing data breaches, minimizing downtime, and safeguarding sensitive information. The paper also explores the challenges associated with ethical hacking, including the need for skilled professionals, the potential for system disruptions during testing, and the importance of maintaining strict compliance with legal and regulatory standards. It discusses the ethical implications of penetration testing, particularly in balancing the need for security with respect for privacy and data protection. Advancements in tools and techniques used by ethical hackers are another significant aspect of this research. The paper investigates the use of artificial intelligence (AI) and machine learning (ML) to enhance vulnerability detection and streamline testing processes. It also addresses the rise of automated penetration testing tools and their role in increasing the efficiency and accuracy of ethical hacking efforts. The findings of this research underscore the necessity of ethical hacking as an essential component of modern cybersecurity frameworks. Organizations that adopt ethical hacking as part of their security strategy gain valuable insights into their vulnerabilities and can build resilient defenses against an everevolving threat landscape. By fostering a culture of continuous testing and improvement, ethical hacking contributes to the creation of a robust and secure network environment. This paper aims to serve as a comprehensive resource for cybersecurity professionals, IT managers, and policymakers, offering insights into the best practices, tools, and techniques of ethical hacking. By leveraging the principles of ethical hacking, organizations can effectively assess vulnerabilities, enhance their security posture, and protect critical assets in the face of mounting cyber threats. (shrink)

An increasing number of enterprises are using artificial intelligence (AI) to improve their cyber security and threat intelligence. AI is a type of AI that generates new data independently of preexisting data or expert knowledge. One emerging cyberthreat to systems that has been increasing is adversarial attacks. By generating fictitious accounts and transactions, adversarial attacks can interfere with and take advantage of decentralized apps that operate on the Ethereum network. Because fraudulent materials (such as accounts and transactions) used as malicious (...) payloads can be mistaken for legitimate data, detecting adversarial attacks can be difficult. This paper suggests a paradigm for cyber threat hunting in the Ethereum blockchain that makes use of Adversarial Networks (GAN) and Deep Recurrent Neural Networks (RNN). By considering a variety of sources and data points, this technology enables decision support systems to automatically and rapidly identify threats posed by hackers or other harmful actors. The likelihood of a successful assault can be further decreased by using AI to find weaknesses in an organization's infrastructure. Because security operations centers (SOCs) need to quickly identify threats and take defensive action, this technology is particularly wellsuited for them. AI can give businesses an extra line of defense against increasingly complex threats by integrating intriguing and useful data items that would have otherwise gone unnoticed . (shrink)

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics (...) domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)

There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create a data management system and web resource constructed to support human salivaomics research. To maximize the utility of the SKB for retrieval, integration and analysis of data, we have developed the Saliva Ontology and SDxMart. This article reviews the informatics advances in saliva (...) diagnostics made possible by the Saliva Ontology and SDxMart. (shrink)

We describe the rationale for an application ontology covering the domain of human body fluids that is designed to facilitate representation, reuse, sharing and integration of diagnostic, physiological, and biochemical data, We briefly review the Blood Ontology (BLO), Saliva Ontology (SALO) and Kidney and Urinary Pathway Ontology (KUPO) initiatives. We discuss the methods employed in each, and address the project of using them as starting point for a unified body fluids ontology resource. We conclude with a description of how the (...) body fluids ontology initiative may provide support to basic and translational science. (shrink)

On 24th February 2025, Justin Mike (United States) wrote a review for Wild Wise Weird as follows: “Wild Wise Weird celebrates the wild spirit, the wisdom gained from unusual experiences, and the eccentric qualities that define us as individuals, thereby capturing the beauty of embracing authenticity. It serves as a reminder that being unique is something to be proud of, not just acceptable.” The review made me feel really relevant to the content of the book. I was curious what AI (...) would think of Mike’s review, so I asked Gemini “what do you think of the review?”. (shrink)

Hiện nay, chế độ sở hữu ở Việt Nam đã có những đổi mới cơ bản, nhưng vẫn còn những khác biệt rất lớn so với chế độ sở hữu ở các nền kinh tế thị trường hiện đại. Trong cơ cấu của chế độ sở hữu ở Việt Nam, tỷ trọng của sở hữu nhà nước còn quá lớn; kinh tế nhà nước giữ vai trò chủ đạo… Chính những khác biệt này đã làm cho nền kinh tế thị (...) trường Việt Nam bị méo mó và giảm lợi thế cạnh tranh quốc gia. Do vậy, công cuộc đổi mới và hoàn thiện chế độ sở hữu ở Việt Nam phải hướng tới việc khắc phục những hạn chế trên và đạt tới sức cạnh tranh ngang hàng với các nền kinh tế thị trường hiện đại khác. (shrink)

This article proposes a unified solution to the mind-body problem, grounded in the philosophical framework of Ethical Empirical Rationalism. By presenting a mathematical model of the mind-body interaction, we oƯer a dynamic feedback loop that resolves the traditional dualistic separation between mind and body. At the core of our model is the concept of essence—an eternal, metaphysical truth that sustains both the mind and body. Through coupled diƯerential equations, we demonstrate how the mind and body are two expressions of the (...) same essence, interacting in a continuous and harmonious relationship. This approach provides a new perspective on the mind-body relationship, grounded in both empirical evidence and metaphysical insight. Keywords: Mind-body problem, Unmoved Mover, Essence, Unified Theory, Feedback Loop, Ethical Empirical Rationalism, Mathematical Modeling. (shrink)

ĐỀ CƯƠNG HỌC PHẦN VĂN HÓA KINH DOANH 1. Tên học phần: VĂN HÓA KINH DOANH (BUSINESS CULTURE) 2. Mã học phần: BMGM1221 3. Số tín chỉ: 2 (24,6) (để học được học phần này, người học phải dành ít nhất 60 giờ chuẩn bị cá nhân).

Artificial Intelligence (AI) is transforming nearly every sector of society—and conservation is no exception. In a recent article, Chris Sandbrook examines the emerging field of “Conservation AI,” defined as the intentional use of AI technologies to achieve biodiversity protection goals [2].

Tại Việt Nam và trong lĩnh vực giáo dục nói riêng, ChatGPT ngày càng được chấp nhận và sử dụng rộng rãi trong rất nhiều hoạt động học tập. Chính vì thế, nghiên cứu này nhằm đánh giá mức độ phổ biến của ChatGPT đối sinh viên tại Hà Nội, đồng thời xem xét sự khác biệt giữa các đặc điểm cá nhân trong việc cải thiện kết quả học tập sau khi sử dụng ChatGPT. Nghiên cứu được thực hiện (...) bằng phương pháp định lượng với dữ liệu thu thập từ 401 sinh viên tại Hà Nội. Từ kết quả nghiên cứu, có 389 sinh viên (chiếm 97,01%) biết và sử dụng ChatGPT trong các hoạt động học tập của mình. Ngoài ra, sinh viên năm nhất, năm hai, năm ba, năm tư sau khi sử dụng ChatGPT có cải thiện trong hoạt động học tập khác nhau, tuy nhiên yếu tố giới tính lại không có ảnh hưởng. Trên cơ sở kết quả nghiên cứu, nhóm tác giả đưa ra một số nguyên nhân và đề xuất giúp ChatGPT được ứng dụng rộng rãi hơn nữa tại các trường đại học. (shrink)