A Google employee has questioned the sentience of a large language model he developed The claim seems very unfounded but raises interesting questions over what we would need to see for us to believe it were sentient... newscientist.com/article/232390… #sentientAI

I’m going to tell my kids that when they were young we used to have to prompt/beg the LLMs to return well formed JSON. Happy that’s over.

I’m told mine is a contrarian view on the events of the last few days, so here goes… Contrary to what Kevin Roose and others have written, Microsoft was not a winner of the events of the last few days around #OpenAI. They were in a much better place on Friday morning last week

🚨 New paper! ​​🚨 We introduce System 2 Attention (S2A). - Soft attention in Transformers is susceptible to irrelevant/biased info - S2A uses LLM reasoning to generate what to attend to Improves factuality & objectivity, decreases sycophancy. arxiv.org/abs/2311.11829 🧵(1/5)

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We're announcing a multi-year partnership with Mistral AI, as we build on our commitment to offer customers the best choice of open and foundation models on Azure.

It’s been a dream of mine since I started in ML to see autonomous agents conduct research independently and discover novel ideas! 💡 Today we take a large step towards making this a reality. We introduce *The AI Scientist*, led together with Chris Lu and Robert Lange. [1/N]

Ever wondered why presenting more facts can sometimes *worsen* disagreements, even among rational people? 🤔 It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️

A research preview of Operator, an agent that can use its own browser to perform tasks for you.

We came up with a really simple way to train flow matching (diffusion) policies with offline RL! Flow Q-learning from Seohong Park uses a distillation (reflow-like) scheme to train flow matching actor, and works super well! Check it out: seohong.me/projects/fql/