Simons Institute for the Theory of Computing

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…

simons.berkeley.edu

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 "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