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I propose to consider the question, “Can machines think?” This should begin with definitions of the meaning of the terms “machine” and “think.” The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words “machine” and “think” are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the question, “Can machines think?” is to be sought in a statistical survey such as a Gallup poll. Of course, “AI” stands for “artificial intelligence,” which immediately reminded me of Alan Turing’s famous essay, “Computing Machinery and Intelligence,” which begins as follows: Following the release of ChatGPT, OpenAI was reportedly valued at $29 billion. Its uneven factual accuracy was identified as a significant drawback.

It is built on top of OpenAI’s GPT-3 family of large language models, and is fine-tuned (an approach to transfer learning) with both supervised and reinforcement learning techniques.ĬhatGPT was launched as a prototype on November 30, 2022, and quickly garnered attention for its detailed responses and articulate answers across many domains of knowledge. (OpenAI, 2023)ĬhatGPT (Generative Pre-trained Transformer) is a chatbot launched by OpenAI in November 2022. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

We’ve trained a model called ChatGPT which interacts in a conversational way. But here I’m concerned with important issues in the philosophy of mind, not with the brouhaha.ĬhatGPT: Optimizing Language Models for Dialogue. How and Why ChatGPT Failed The Turing TestĪs everyone who’s interested in higher education knows, there’s been a recent brouhaha about ChatGPT (see, e.g., Boethius, 2022). pdf of the complete text of this essay HERE. You can also download and read or share a.

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