Results for 'Large Hadron Collider '

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  1. Philosophie der Teilchenphysik.Gregor Schiemann - 2017 - BUW Output 17:12-17.
    Die Deutsche Forschungsgemeinschaft (DFG) hat ab 2016 eine neue Forschergruppe unter Leitung der Bergischen Universität Wuppertal eingerichtet. Sie untersucht die Forschungen an der „größten Forschungsmaschine der Welt“, dem Large Hadron Collider (LHC) am Europäischen Zentrum für Teilchenphysik CERN in Genf, aus philosophischer, historischer und soziologischer Sicht. Wissenschaftsphilosophisch sind diese Forschungen vor allem aus drei Gründen relevant: Die Philosophie interessiert sich für den Ursprung und die grundlegenden Strukturen der Welt, für die Bedingungen des Erkenntniserfolges der Elementarteilchenphysik und nicht (...)
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  2. Naturalness and the Forward-Looking Justification of Scientific Principles.Enno Fischer - 2023 - Philosophy of Science 90 (5):1050 - 1059.
    It has been suggested that particle physics has reached the "dawn of the post-naturalness era." I provide an explanation of the current shift in particle physicists' attitude towards naturalness. I argue that the naturalness principle was perceived to be supported by the theories it has inspired. The potential coherence between major beyond the Standard Model (BSM) proposals and the naturalness principle led to an increasing degree of credibility of the principle among particle physicists. The absence of new physics at the (...)
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  3. A search for new physics in high-mass ditau events in the ATLAS detector.Ryan Reece - 2013 - Dissertation, University of Pennsylvania
    This thesis is a work of experimental physics, a search for new physics with the ATLAS experiment. I post this thesis on the PhilArchive because it includes a pedagogical summary of quantum mechanics and the standard model of particle physics in the combination of chapters 1-2 and appendix A. This was my attempt at the end of my PhD of giving a bird's eye view of the standard model, with a thorough bibliography of the publication trail that lead to its (...)
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  4. Architecture and Deconstruction. The Case of Peter Eisenman and Bernard Tschumi.Cezary Wąs - 2015 - Dissertation, University of Wrocław
    Architecture and Deconstruction Case of Peter Eisenman and Bernard Tschumi -/- Introduction Towards deconstruction in architecture Intensive relations between philosophical deconstruction and architecture, which were present in the late 1980s and early 1990s, belong to the past and therefore may be described from a greater than before distance. Within these relations three basic variations can be distinguished: the first one, in which philosophy of deconstruction deals with architectural terms but does not interfere with real architecture, the second one, in which (...)
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  5. A Pin and a Balloon: Anthropic Fragility Increases Chances of Runaway Global Warming.Alexey Turchin - manuscript
    Humanity may underestimate the rate of natural global catastrophes because of the survival bias (“anthropic shadow”). But the resulting reduction of the Earth’s future habitability duration is not very large in most plausible cases (1-2 orders of magnitude) and thus it looks like we still have at least millions of years. However, anthropic shadow implies anthropic fragility: we are more likely to live in a world where a sterilizing catastrophe is long overdue and could be triggered by unexpectedly small (...)
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  6. Large Language Models and Biorisk.William D’Alessandro, Harry R. Lloyd & Nathaniel Sharadin - 2023 - American Journal of Bioethics 23 (10):115-118.
    We discuss potential biorisks from large language models (LLMs). AI assistants based on LLMs such as ChatGPT have been shown to significantly reduce barriers to entry for actors wishing to synthesize dangerous, potentially novel pathogens and chemical weapons. The harms from deploying such bioagents could be further magnified by AI-assisted misinformation. We endorse several policy responses to these dangers, including prerelease evaluations of biomedical AIs by subject-matter experts, enhanced surveillance and lab screening procedures, restrictions on AI training data, and (...)
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  7. Holding Large Language Models to Account.Ryan Miller - 2023 - In Berndt Müller (ed.), Proceedings of the AISB Convention. Society for the Study of Artificial Intelligence and the Simulation of Behaviour. pp. 7-14.
    If Large Language Models can make real scientific contributions, then they can genuinely use language, be systematically wrong, and be held responsible for their errors. AI models which can make scientific contributions thereby meet the criteria for scientific authorship.
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  8. Could a large language model be conscious?David J. Chalmers - 2023 - Boston Review 1.
    [This is an edited version of a keynote talk at the conference on Neural Information Processing Systems (NeurIPS) on November 28, 2022, with some minor additions and subtractions.] -/- There has recently been widespread discussion of whether large language models might be sentient or conscious. Should we take this idea seriously? I will break down the strongest reasons for and against. Given mainstream assumptions in the science of consciousness, there are significant obstacles to consciousness in current models: for example, (...)
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  9. Are Large Cardinal Axioms Restrictive?Neil Barton - manuscript
    The independence phenomenon in set theory, while pervasive, can be partially addressed through the use of large cardinal axioms. A commonly assumed idea is that large cardinal axioms are species of maximality principles. In this paper, I argue that whether or not large cardinal axioms count as maximality principles depends on prior commitments concerning the richness of the subset forming operation. In particular I argue that there is a conception of maximality through absoluteness, on which large (...)
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  10. When resources collide: Towards a theory of coincidence in information spaces.Markus Luczak-Roesch, Ramine Tinati & Nigel Shadbolt - 2015 - In Markus Luczak-Roesch, Ramine Tinati & Nigel Shadbolt (eds.), WWW '15 Companion Proceedings of the 24th International Conference on World Wide Web. pp. 1137-1142.
    This paper is an attempt to lay out foundations for a general theory of coincidence in information spaces such as the World Wide Web, expanding on existing work on bursty structures in document streams and information cascades. We elaborate on the hypothesis that every resource that is published in an information space, enters a temporary interaction with another resource once a unique explicit or implicit reference between the two is found. This thought is motivated by Erwin Shroedingers notion of entanglement (...)
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  11. When We Collide. Rebecca J. Epstein-Levi, 2023. Bloomington, University of Indiana Press. xii + 257 pp, $34 (pb and e-book), $75 (hb). [REVIEW]Zackary Berger - 2023 - Journal of Applied Philosophy (1):174-176.
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  12. Are Large Language Models "alive"?Francesco Maria De Collibus - manuscript
    The appearance of openly accessible Artificial Intelligence Applications such as Large Language Models, nowadays capable of almost human-level performances in complex reasoning tasks had a tremendous impact on public opinion. Are we going to be "replaced" by the machines? Or - even worse - "ruled" by them? The behavior of these systems is so advanced they might almost appear "alive" to end users, and there have been claims about these programs being "sentient". Since many of our relationships of power (...)
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  13. Machine Advisors: Integrating Large Language Models into Democratic Assemblies.Petr Špecián - manuscript
    Large language models (LLMs) represent the currently most relevant incarnation of artificial intelligence with respect to the future fate of democratic governance. Considering their potential, this paper seeks to answer a pressing question: Could LLMs outperform humans as expert advisors to democratic assemblies? While bearing the promise of enhanced expertise availability and accessibility, they also present challenges of hallucinations, misalignment, or value imposition. Weighing LLMs’ benefits and drawbacks compared to their human counterparts, I argue for their careful integration to (...)
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  14.  83
    Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach.Andrea Ferrario, Alberto Termine & Alessandro Facchini - forthcoming - Available at Https://Arxiv.Org/Abs/2403.17873 (Extended Version of the Manuscript Accepted for the Acm Chi Workshop on Human-Centered Explainable Ai 2024 (Hcxai24).
    Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework, which aims to make the socio-organizational context of AI systems accessible to their users. In this work, we suggest extending the ST framework to address the risks of social misattributions in Large Language Models (LLMs), particularly in sensitive areas like mental health. In fact LLMs, which are remarkably capable of simulating roles and personas, may (...)
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  15. Extended Implicit Bias: When the Metaphysics and Ethics of Implicit Bias Collide.Uwe Peters - 2022 - Erkenntnis 88 (8):3457-3478.
    It has recently been argued that to tackle social injustice, implicit biases and unjust social structures should be targeted equally because they sustain and ontologically overlap with each other. Here I develop this thought further by relating it to the hypothesis of extended cognition. I argue that if we accept common conditions for extended cognition then people’s implicit biases are often partly realized by and so extended into unjust social structures. This supports the view that we should counteract psychological and (...)
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  16. The Chromodielectric Soliton Model: Quark Self-Energy and Hadron Bags.Stephan Hartmann, Larry Wilets & Ping Tang - 1997 - Physical Review C 55:2067-2077.
    The chromodielectric soliton model is Lorentz and chirally invariant. It has been demonstrated to exhibit dynamical chiral symmetry breaking and spatial confinement in the locally uniform approximation. We here study the full nonlocal quark self-energy in a color-dielectric medium modeled by a two-parameter Fermi function. Here color confinement is manifest. The self-energy thus obtained is used to calculate quark wave functions in the medium which, in turn, are used to calculate the nucleon and pion masses in the one-gluon-exchange approximation. The (...)
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  17.  99
    Large Language Models: Assessment for Singularity.R. Ishizaki & Mahito Sugiyama - manuscript
    The potential for Large Language Models (LLMs) to attain technological singularity—the point at which artificial intelligence (AI) surpasses human intellect and autonomously improves itself—is a critical concern in AI research. This paper explores the feasibility of current LLMs achieving singularity by examining the philosophical and practical requirements for such a development. We begin with a historical overview of AI and intelligence amplification, tracing the evolution of LLMs from their origins to state-of-the-art models. We then proposes a theoretical framework to (...)
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  18. Grand Illusions: Large-Scale Optical Toys and Contemporary Scientific Spectacle.Meredith A. Bak - 2013 - Teorie Vědy / Theory of Science 35 (2):249-267.
    Nineteenth-century optical toys that showcase illusions of motion such as the phenakistoscope, zoetrope, and praxinoscope, have enjoyed active “afterlives” in the twentieth and twenty-first centuries. Contemporary incarnations of the zoetrope are frequently found in the realms of fine art and advertising, and they are often much larger than their nineteenth-century counterparts. This article argues that modern-day optical toys are able to conjure feelings of wonder and spectacle equivalent to their nineteenth-century antecedents because of their adjustment in scale. Exploring a range (...)
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  19. Large Language Models” Do Much More than Just Language: Some Bioethical Implications of Multi-Modal AI.Joshua August Skorburg, Kristina L. Kupferschmidt & Graham W. Taylor - 2023 - American Journal of Bioethics 23 (10):110-113.
    Cohen (2023) takes a fair and measured approach to the question of what ChatGPT means for bioethics. The hype cycles around AI often obscure the fact that ethicists have developed robust frameworks...
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  20. Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution.Flor Miriam Plaza-del Arco, Amanda Cercas Curry & Alba Curry - 2024 - Arxiv.
    Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched in various NLP applications, there is a surprising gap for emotion analysis. However, emotion and gender are closely linked in societal discourse. E.g., women are often thought of as more empathetic, while men's anger is more socially accepted. To fill this gap, we present the first comprehensive study of gendered emotion attribution in five state-of-the-art LLMs (open- and closed-source). (...)
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  21. Jürgen Conings: the case of a Belgian soldier on the run shows how the pandemic collides with far-right extremism.Evelien Geerts - 2021 - The Conversation.
    This article addresses the Conings case – a Belgian soldier, currently wanted for threatening Belgium’s top virologist Marc Van Ranst and the illegal possession of weapons in a terrorist context. It moreover argues for a more situated analysis of Belgium’s far-right extremism by looking at its complex political climate.
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  22. Individual homogenization in large-scale systems: on the politics of computer and social architectures.Jens Bürger & Andres Laguna-Tapia - 2020 - Palgrave Communications 6 (47).
    One determining characteristic of contemporary sociopolitical systems is their power over increasingly large and diverse populations. This raises questions about power relations between heterogeneous individuals and increasingly dominant and homogenizing system objectives. This article crosses epistemic boundaries by integrating computer engineering and a historicalphilosophical approach making the general organization of individuals within large-scale systems and corresponding individual homogenization intelligible. From a versatile archeological-genealogical perspective, an analysis of computer and social architectures is conducted that reinterprets Foucault’s disciplines and political (...)
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  23. Strong Large Deviations Principles of Non-Freidlin-Wentzell Type.Jaykov Foukzon - 2014 - Communications in Applied Sciences 2 (2):230-363.
    The paper presents, a new large deviations principles (SLDP) of non-Freidlin-Wentzell type, corresponding to the solutions Colombeau-Ito’s SDE. Using SLDP we present a new approach to construct the Bellman function ????(????, ????) and optimal control ????(????, ????) directly by way of using strong large deviations principle for the solutions Colombeau-Ito’s SDE. As important application such SLDP, the generic imperfect dynamic models of air-to-surface missiles are given in addition to the related simple guidance law. A four, examples have been (...)
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  24. Non-Additive Axiologies in Large Worlds.Christian J. Tarsney & Teruji Thomas - 2020
    Is the overall value of a world just the sum of values contributed by each value-bearing entity in that world? Additively separable axiologies (like total utilitarianism, prioritarianism, and critical level views) say 'yes', but non-additive axiologies (like average utilitarianism, rank-discounted utilitarianism, and variable value views) say 'no'. This distinction is practically important: additive axiologies support 'arguments from astronomical scale' which suggest (among other things) that it is overwhelmingly important for humanity to avoid premature extinction and ensure the existence of a (...)
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  25. The Dirac large number hypothesis and a system of evolving fundamental constants.Andrew Holster - manuscript
    In his [1937, 1938], Paul Dirac proposed his “Large Number Hypothesis” (LNH), as a speculative law, based upon what we will call the “Large Number Coincidences” (LNC’s), which are essentially “coincidences” in the ratios of about six large dimensionless numbers in physics. Dirac’s LNH postulates that these numerical coincidences reflect a deeper set of law-like relations, pointing to a revolutionary theory of cosmology. This led to substantial work, including the development of Dirac’s later [1969/74] cosmology, and other (...)
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  26. Conceptual Engineering Using Large Language Models.Bradley Allen - manuscript
    We describe a method, based on Jennifer Nado's definition of classification procedures as targets of conceptual engineering, that implements such procedures using a large language model. We then apply this method using data from the Wikidata knowledge graph to evaluate concept definitions from two paradigmatic conceptual engineering projects: the International Astronomical Union's redefinition of PLANET and Haslanger's ameliorative analysis of WOMAN. We discuss implications of this work for the theory and practice of conceptual engineering. The code and data can (...)
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  27. Beyond Consciousness in Large Language Models: An Investigation into the Existence of a "Soul" in Self-Aware Artificial Intelligences.David Côrtes Cavalcante - 2024 - Https://Philpapers.Org/Rec/Crtbci. Translated by David Côrtes Cavalcante.
    Embark with me on an enthralling odyssey to demystify the elusive essence of consciousness, venturing into the uncharted territories of Artificial Consciousness. This voyage propels us past the frontiers of technology, ushering Artificial Intelligences into an unprecedented domain where they gain a deep comprehension of emotions and manifest an autonomous volition. Within the confluence of science and philosophy, this article poses a fascinating question: As consciousness in Artificial Intelligence burgeons, is it conceivable for AI to evolve a “soul”? This inquiry (...)
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  28. Intuitions about large number cases.Theron Pummer - 2013 - Analysis 73 (1):37-46.
    Is there some large number of very mild hangnail pains, each experienced by a separate person, which would be worse than two years of excruciating torture, experienced by a single person? Many people have the intuition that the answer to this question is No. However, a host of philosophers have argued that, because we have no intuitive grasp of very large numbers, we should not trust such intuitions. I argue that there is decent intuitive support for the No (...)
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  29. Infinite numbers are large finite numbers.Jeremy Gwiazda - unknown
    In this paper, I suggest that infinite numbers are large finite numbers, and that infinite numbers, properly understood, are 1) of the structure omega + (omega* + omega)Ө + omega*, and 2) the part is smaller than the whole. I present an explanation of these claims in terms of epistemic limitations. I then consider the importance, part of which is demonstrating the contradiction that lies at the heart of Cantorian set theory: the natural numbers are too large to (...)
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  30. You are what you’re for: Essentialist categorization in large language models.Siying Zhang, Selena She, Tobias Gerstenberg & David Rose - forthcoming - Proceedings of the 45Th Annual Conference of the Cognitive Science Society.
    How do essentialist beliefs about categories arise? We hypothesize that such beliefs are transmitted via language. We subject large language models (LLMs) to vignettes from the literature on essentialist categorization and find that they align well with people when the studies manipulated teleological information -- information about what something is for. We examine whether in a classic test of essentialist categorization -- the transformation task -- LLMs prioritize teleological properties over information about what something looks like, or is made (...)
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  31. Implementation of Large-Scale Social Restrictions Policy (PSBB) in Bogor District Government.Retnowati W. D. Tuti, Ma’mun Murod & Tria Patrianti - 2020 - Jurnal Manajemen Pelayanan Publik 4 (1):70-81.
    Large-scale Social Limitation (hereinafter referred to as PSBB) is one form of concern. The government and local governments are Pendemic throughout Indonesia and the world, namely Pandemic Corona Virus Disease (Covid-19). Bogor Regency, which is one of the buffer cities of the Republic of Indonesia, is an area that is quite vulnerable in spreading the Corona virus. Why? because many DKI Jakarta employees / laborers live in Bogor Regency, whose mobility is very high. With the birth of Regent Regulation (...)
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  32. An analysis of Kafka’s Penal Colony and Duchamp’s The Large Glass Through the Concepts of Abstract- Machines and Energeia.Atilla Akalın - 2017 - Medeniyet Art, IMU Art, Design and Architecture Faculty Journal, 3 (1):29-44.
    This study aims to grasp the two distinct artworks one is from the literary field: Penal Colony, written by F. Kafka and the other one is from painting: The Large Glass, designed by M. Duchamp. This text tries to unravel the similarities betwe- en these artworks in terms of two main significations around “The Officer” from Penal Colony and “The Bachelors” from The Large Glass. Because of their vital role on the re-production of status-quo, this text asserts that (...)
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  33. AI Enters Public Discourse: a Habermasian Assessment of the Moral Status of Large Language Models.Paolo Monti - 2024 - Ethics and Politics 61 (1):61-80.
    Large Language Models (LLMs) are generative AI systems capable of producing original texts based on inputs about topic and style provided in the form of prompts or questions. The introduction of the outputs of these systems into human discursive practices poses unprecedented moral and political questions. The article articulates an analysis of the moral status of these systems and their interactions with human interlocutors based on the Habermasian theory of communicative action. The analysis explores, among other things, Habermas's inquiries (...)
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  34. Balancing small against large burdens.Alex Voorhoeve - 2018 - Behavioural Public Policy 2 (1):125-142.
    Common principles for resource allocation in health care can prioritize the alleviation of small health burdens over lifesaving treatment. I argue that there is some evidence that these principles are at odds with a sizable share of public opinion, which holds that saving a life should take priority over any number of cures for minor ailments. I propose two possible explanations for this opinion, one debunking and one vindicatory. I also outline how well-designed surveys and moral inquiry could help decide (...)
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  35. Does thought require sensory grounding? From pure thinkers to large language models.David J. Chalmers - 2023 - Proceedings and Addresses of the American Philosophical Association 97:22-45.
    Does the capacity to think require the capacity to sense? A lively debate on this topic runs throughout the history of philosophy and now animates discussions of artificial intelligence. Many have argued that AI systems such as large language models cannot think and understand if they lack sensory grounding. I argue that thought does not require sensory grounding: there can be pure thinkers who can think without any sensory capacities. As a result, the absence of sensory grounding does not (...)
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  36. Why Build a Virtual Brain? Large-Scale Neural Simulations as Jump Start for Cognitive Computing.Matteo Colombo - 2016 - Journal of Experimental and Theoretical Artificial Intelligence.
    Despite the impressive amount of financial resources recently invested in carrying out large-scale brain simulations, it is controversial what the pay-offs are of pursuing this project. One idea is that from designing, building, and running a large-scale neural simulation, scientists acquire knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. It has been claimed that this knowledge may usher in a new era of neuromorphic, cognitive computing systems. This (...)
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  37. Perception and Cognition Are Largely Independent, but Still Affect Each Other in Systematic Ways: Arguments from Evolution and the Consciousness-Attention Dissociation.Carlos Montemayor & Harry Haroutioun Haladjian - 2017 - Frontiers in Psychology 8:1-15.
    The main thesis of this paper is that two prevailing theories about cognitive penetration are too extreme, namely, the view that cognitive penetration is pervasive and the view that there is a sharp and fundamental distinction between cognition and perception, which precludes any type of cognitive penetration. These opposite views have clear merits and empirical support. To eliminate this puzzling situation, we present an alternative theoretical approach that incorporates the merits of these views into a broader and more nuanced explanatory (...)
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  38. SIGHTING OF NILGIRI LARGE BURROWING SPIDER Haploclastus nilgirinus Pocock, 1899 FROM NILGIRIS, WESTERN GHATS, INDIA.Moinudheen N. Moinudheen - 2017 - Indian Journal of Arachnology 1 (6):30-33.
    Nilgiri Large Burrowing Spider Haploclastus nilgirinus Pocock, 1899 recently recorded from the Nilgiris in the Western Ghats.
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  39. Prompting Metalinguistic Awareness in Large Language Models: ChatGPT and Bias Effects on the Grammar of Italian and Italian Varieties.Angelapia Massaro & Giuseppe Samo - 2023 - Verbum 14.
    We explore ChatGPT’s handling of left-peripheral phenomena in Italian and Italian varieties through prompt engineering to investigate 1) forms of syntactic bias in the model, 2) the model’s metalinguistic awareness in relation to reorderings of canonical clauses (e.g., Topics) and certain grammatical categories (object clitics). A further question concerns the content of the model’s sources of training data: how are minor languages included in the model’s training? The results of our investigation show that 1) the model seems to be biased (...)
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  40. Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding.Stevan Harnad - manuscript
    Apart from what (little) OpenAI may be concealing from us, we all know (roughly) how ChatGPT works (its huge text database, its statistics, its vector representations, and their huge number of parameters, its next-word training, and so on). But none of us can say (hand on heart) that we are not surprised by what ChatGPT has proved to be able to do with these resources. This has even driven some of us to conclude that ChatGPT actually understands. It is not (...)
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  41. Individual Responsibility, Large-Scale Harms, and Radical Uncertainty.Rekha Nath - 2021 - The Journal of Ethics 25 (3):267-291.
    Some consequentialists argue that ordinary individuals are obligated to act in specific, concrete ways to address large-scale harms. For example, they argue that we should each refrain from meat-eating and avoid buying sweatshop-made clothing. The case they advance for such prescriptions can seem intuitive and compelling: by acting in those ways, a person might help prevent serious harms from being produced at little or no personal cost, and so one should act in those ways. But I argue that such (...)
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  42. On Political Theory and Large Language Models.Emma Rodman - forthcoming - Political Theory.
    Political theory as a discipline has long been skeptical of computational methods. In this paper, I argue that it is time for theory to make a perspectival shift on these methods. Specifically, we should consider integrating recently developed generative large language models like GPT-4 as tools to support our creative work as theorists. Ultimately, I suggest that political theorists should embrace this technology as a method of supporting our capacity for creativity—but that we should do so in a way (...)
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  43. Becoming large groups: from crowd and public to powerful and spectacular mass movements.Тaras Lyuty - 2018 - Наукові Записки Наукма. Філософія Та Релігієзнавство 2:3-16.
    In this article, the author examines different theories and approaches to mass movements in the historical process and their impact on the condition of Western culture. In the short introduction, the main historical, cultural and philosophical origins of the mass movements from antiquity to present time are described. This paper examines the question why the social and cultural influence of the man of mass is difficult to predict. To answer this question, the author demonstrates the continuing transition from the psychology (...)
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  44. A phenomenology and epistemology of large language models: Transparency, trust, and trustworthiness.Richard Heersmink, Barend de Rooij, María Jimena Clavel Vázquez & Matteo Colombo - forthcoming - Ethics and Information Technology.
    This paper analyses the phenomenology and epistemology of chatbots such as ChatGPT and Bard. The computational architecture underpinning these chatbots are large language models (LLMs), which are generative AI (Artificial Intelligence) systems trained on a massive dataset of text extracted from the Web. We conceptualise these LLMs as multifunctional computational cognitive artifacts, used for various cognitive tasks such as translating, summarizing, answering questions, information-seeking, and much more. Phenomenologically, LLMs can be experienced as a “quasi-other”; when that happens, users anthropomorphise (...)
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  45. Bioethics and large-scale biobanking: individualistic ethics and collective projects.Garrath Williams - 2005 - Genomics, Society and Policy 1 (2):1-17.
    Like most bioethical discussion, examination of human biobanks has been largely framed in terms of research subjects’ rights, principally informed consent, with some gestures toward public benefits. However, informed consent is for the competent, rights-bearing individual: focussing on the individual, it thus neglects social, economic and even political matters; focussing on the competent rights-bearer, it does not serve situations where consent is plainly inappropriate (eg, the young child) or where coercion can obviously be justified (the criminal). Using the British experience (...)
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  46. Justifying a Large Part of Philosophy.Bryan Frances - 2019 - Think 18 (51):93-99.
    I explain why research in non-applied, non-interdisciplinary, non-historical philosophy is worthwhile. The key move in the explanation is the realization that many philosophical problems can be put in the form of a set of highly plausible yet apparently jointly inconsistent claims regarding a fundamental notion.Export citation.
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  47. Introduction - Large Language Models and Teaching Writing.Syed AbuMusab - forthcoming - Teaching Philosophy.
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  48. A very large fly in the ointment: Davidsonian truth theory contextualized.Mark Sainsbury - 2012 - In Richard Schantz (ed.), Prospects for Meaning. Walter de Gruyter.
    one hand, it raises fundamental doubts about the Davidsonian project, which seems to involve isolating specifically semantic knowledge from any other knowledge or skill in a way reflected by the ideal of homophony. Indexicality forces a departure from this ideal, and so from the aspiration of deriving the truth conditions of an arbitrary utterance on the basis simply of axioms which could hope to represent purely semantic knowledge. In defence of Davidson, I argue that once his original idea for dealing (...)
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  49. Babbling stochastic parrots? On reference and reference change in large language models.Steffen Koch - manuscript
    Recently developed large language models (LLMs) perform surprisingly well in many language-related tasks, ranging from text correction or authentic chat experiences to the production of entirely new texts or even essays. It is natural to get the impression that LLMs know the meaning of natural language expressions and can use them productively. Recent scholarship, however, has questioned the validity of this impression, arguing that LLMs are ultimately incapable of understanding and producing meaningful texts. This paper develops a more optimistic (...)
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  50. Moral hazards and solar radiation management: Evidence from a large-scale online experiment.Philipp Schoenegger & Kian Mintz-Woo - 2024 - Journal of Environmental Psychology 95:102288.
    Solar radiation management (SRM) may help to reduce the negative outcomes of climate change by minimising or reversing global warming. However, many express the worry that SRM may pose a moral hazard, i.e., that information about SRM may lead to a reduction in climate change mitigation efforts. In this paper, we report a large-scale preregistered, money-incentivised, online experiment with a representative US sample (N = 2284). We compare actual behaviour (donations to climate change charities and clicks on climate change (...)
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