Simons Institute for the Theory of Computing

From our friends at Berkeley's Center for Responsible, Decentralized Intelligence: Agentic AI Summit, August 1–2 Early bird pricing ends July 5 rdi.berkeley.edu/events/agent...

Agentic AI Summit 2026 rdi.berkeley.edu

In case you didn't see this when it came out a couple weeks ago, here's a nice article from Harvard's FAS Current about the second batch of #1stproof, a community experiment that tests AI's capacity to do research math. current.fas.harvard.edu/stories/firs...

First Proof’s second batch of math problems test AI current.fas.harvard.edu

1/2 Generative world model (GWM) theories are correlated with theories that aren't world model theories, such as the Bayesian brain theory, said @gallantlab.org at the Simons Institute workshop on Topics in Intelligence: World Models and Social Reasoning. simons.berkeley.edu/t…

Representation of the world in the human brain simons.berkeley.edu

1/2 Are LLMs doomed to hallucinate? No, says OpenAI's Adam Kalai at the Simons Institute workshop on The Role of TCS in Modern Machine Learning. "I don’t think it’s an inevitable problem. We can drastically reduce the amount of hallucinations." Video: simons.berkeley.edu/talks…

Disincentivizing Hallucination simons.berkeley.edu

2/2 @lenoreblum.bsky.social invoked Kenneth Craik's view (1943) of the nervous system as a "calculating machine" to argue that 1st person exp/consciousness is computational, at the Simons Institute workshop on Topics in Intelligence: World Models and Social Reasoning Video: ti…

World Models and the Emergence of a “First-Person” Perspective in an AI tinyurl.com

1/2 The Return of RNNs. "AI is still lacking a good memory mechanism...We are in this era of 'attention is all you need' but I don't think that's going to cut it," said @phillipisola.bsky.social of @mit.edu at the Simons Institute workshop on Topics in Intelligence: World Models and Social Reasoning

1/4 Remember Sydney, the chatbot that urged a @nytimes.com columnist to break up with his wife? Or how an LLM fine-tuned to output insecure code became misaligned on tasks unrelated to coding? What do these have in common? — Roger Grosse of @anthropic.com and U of Toronto at the Simons Institute.

1/3 Besides "robotic, embodied systems, AI systems never see the real world. They only see these artifacts humans create & feed into them...From these [snapshots of reality] our AI needs to infer the world that produced these snapshots": @shiryginosar.bsky.social at the Simons Institute

1/3 "Our conclusion is that AI consciousness is inevitable." In back-to-back talks, Manuel Blum and @lenoreblum.bsky.social of @cmu.edu discuss the Conscious Turing Machine and AI consciousness at the Simons Institute workshop on The Role of TCS in Modern Machine Learning