Sebastien Bubeck Spurs the Start of AGI with GPT-4

Category Artificial Intelligence

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Sebastien Bubeck from Microsoft Research makes the case that Artificial General Intelligence (AGI) has emerged with GPT-4, a trillion parameter generative machine which can explain itself. Debate surrounding GPT-4 is how intelligent it is and if it should be used responsibly by people and students, with a Stanford professor discussing the implications of such use.

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Sebastien Bubeck makes the case that intelligence has emerged with the trillion parameter generative AIs. He says there are internal representations and learning algorithms inside the systems. Sebastien is a Sr. Principal Research Manager in the Machine Learning Foundations group at Microsoft Research (MSR).

He says the generative systems can be used to explain itself.

GPT-4 still has weaknesses but it can use tools to mitigate those weaknesses. It can call Mathematica to precisely solve math problems.

GPT-4 has strengths in common sense and providing math solutions

GPT-4 does not have planning yet. There are some new systems that are trying to address this by working with GPT4.

GPT-4 is not set up to have much learning or memory. It can only remember within a session.

GPT-4 was slightly dumbed down from the internal testing system in order to address safety issues.

1:47 – Sebastien starts .

5:36 – goal of the talk: there is some intelligence in the system .

6:05 – "beware of trillion-dimensional space and its surprises" .

GPT-4 can only remember within a session

8:20 – example demonstrating GPT4’s common sense .

10:40 – theory of the mind .

12:29 – theory of mind example .

14:27 – consensus definition of intelligence by psychologists published in 1994 and if GPT4 matches this definition .

18:00 – how to test GPT4’s intelligence .

19:00 – Asking GP4 to write a proof of infinitude of primes .

22:13 – The Strange Case of the Unicorn .

27:15 – GPT4 vs Stable Diffusion .

29:44 – Coding with a copilot that understands .

GPT-4 is slightly dumbed down from its internal testing system

32:57 – GPT4’s performance on coding interviews .

33:41 – GPT4’s weaknesses, which can be overcome with tools .

Stanford professor, Rob McBride talks about the implications of using GPT-4 with students. He discusses the need of students to learn to work with AI and its implication with the ethical use of the technology. It is noted that students must also be monitored while using the AI to make sure that they’re using it responsibly. In conclusion, McBride says that even though GPT-4 has weaknesses, its strengths can be used for exploring the potential of artificial intelligence.

Theory of the Mind is a key topic of this article

A Stanford professor talks about how people and students should learn to work with the new AI.

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