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Sharing Our Concepts with Machines

Erkenntnis 88 (7):3079-3095 (2021)

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  1. Breaking the language barrier: conceptual representation without a language-like format.Iwan Williams - forthcoming - British Journal for the Philosophy of Science.
    An important part of the explanatory role of concepts is that they enable us to combine a wide variety of objects, properties and relations in thought, with contents spanning diverse domains. I discuss an argument that appears to show that paradigmatic non-linguistic representational formats are unsuited to play this role, and thus conceptual representation could not occur in these formats. I show that this argument fails, because it overlooks the possibility of individual concepts being shared between a number of special (...)
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  • (1 other version)Creating a large language model of a philosopher.Eric Schwitzgebel, David Schwitzgebel & Anna Strasser - 2023 - Mind and Language 39 (2):237-259.
    Can large language models produce expert‐quality philosophical texts? To investigate this, we fine‐tuned GPT‐3 with the works of philosopher Daniel Dennett. To evaluate the model, we asked the real Dennett 10 philosophical questions and then posed the same questions to the language model, collecting four responses for each question without cherry‐picking. Experts on Dennett's work succeeded at distinguishing the Dennett‐generated and machine‐generated answers above chance but substantially short of our expectations. Philosophy blog readers performed similarly to the experts, while ordinary (...)
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