Simons Institute for the Theory of Computing

"Of course, we also have failures," said Michal Irani (@weizmann.ac.il), at the Simons Institute workshop on Topics in Intelligence: World Models and Social Reasoning. For e.g., the fMRI scan of a person viewing a cat became a bear. Video: simons.berkeley.edu/talks/michal... a…

Bridging the gap between Minds & Machines simons.berkeley.edu

"Of course, we also have failures," said Michal Irani (@weizmann.ac.il), at the Simons Institute workshop on Topics in Intelligence: World Models and Social Reasoning. For e.g., the fMRI scan of a person viewing a cat became a bear. Video: simons.berkeley.edu/talks/michal... a…

Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer arxiv.org

3/3 "This is part of a larger...collaborative effort to build foundation models," said Eva Dyer of @upenn.edu at the Simons Institute. Such models would unify diverse neural data with varying temporospatial resolutions, from multiple species and tasks. Video: simons.berkeley.e…

Talk by simons.berkeley.edu

"When we are interacting with others there is a dynamics that transcends the...people that are participating; these dynamics in return shape the people," said Guillaume Dumas, @introspection.bsky.social, of @mila-quebec.bsky.social at the Simons Institute. Video: simons.berkel…

Social NeuroAI of World Modeling: Embodied Dynamics, Collective Intelligence and Relational Computation simons.berkeley.edu

3/3 Continual Learning. "Even people who started the hyper-scaling trend have been talking about continual learning, which is not there in current day systems. Once the system [is] public, it does not learn any more," said UC Berkeley's Jitendra Malik simons.berkeley.edu/talks…

Systems A/B/M : Lessons on Autonomous Learning from Cognitive Science simons.berkeley.edu

This week at the Simons Institute, a workshop on Diffusion Generative Modeling: Progress and Next Steps simons.berkeley.edu/workshops/di...

Diffusion Generative Modeling: Progress and Next Steps simons.berkeley.edu

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

1/3 AI and Its Discontents: @ucberkeleyofficial.bsky.social's Jitendra Malik talked of the "rumblings of dissent,", when it comes to the current approach of scaling up frontier multimodal models, at the Simons Institute workshop on Topics in Intelligence: World Models and Social Reasoning

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 "AI is not when computer can write poetry. AI is when computer will *want* to write poetry." @ucberkeleyofficial.bsky.social's Alyosha Efros quoted a friend, when talking about the nature of "True AI," 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