steve hsu

@hsu_steve

Physicist, AI Founder, Manifold Podcast

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TheoPhysEval presents 50 theoretical physics problems to assess AI agents

TheoPhysEval's authors describe the problems as unpublished and research-level, with verifiable answers.

5 Sources, 5d ago, updated 5d ago

OpenAI releases results from its internal AI math model on GitHub

OpenAI says it drew on an independent mathematics advisory group’s advice about how to release the results.

435 Sources, 9d ago, updated 9d ago

DAIR.AI describes a survey mapping stages of AI self-improvement

DAIR.AI says the framework makes self-improvement claims easier to check by asking which stages an agent actually automates.

25 Sources, 38d ago, first seen 38d ago

AI’s existential risks deserve serious attention, a pro-tech user argues

A self-described technological accelerationist says they’re puzzled by some people’s dismissiveness, despite their own aversion to regulation and apocalyptic thinking.

72 Sources, 29d ago, updated 29d ago

Pranav Shyam Retweets Andrew Ho Reply

Google DeepMind researcher shares @andrewho03 reply on model observations.

7 Sources, 47d ago, first seen 47d ago

Featured in

TheoPhysEval presents 50 theoretical physics problems to assess AI agents

OpenAI releases results from its internal AI math model on GitHub

DAIR.AI describes a survey mapping stages of AI self-improvement

AI’s existential risks deserve serious attention, a pro-tech user argues

Pranav Shyam Retweets Andrew Ho Reply

Featured in

TheoPhysEval presents 50 theoretical physics problems to assess AI agents

OpenAI releases results from its internal AI math model on GitHub

DAIR.AI describes a survey mapping stages of AI self-improvement

AI’s existential risks deserve serious attention, a pro-tech user argues

Pranav Shyam Retweets Andrew Ho Reply