What if AI becomes as ubiquitous as the internet, but runs locally and transparently on our devices? Fascinating TED talk by @thomwolf.bsky.social on open source AI and its future impact. Watch the full talk here: www.ted.com/talks/thomas...

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🧵 1/12 New blog post alert! With @mmitchell.bsky.social, @evijit.io and @sashamtl.bsky.social we talk about what appears to be one of the biggest shifts happening in AI: agents. These aren't your typical chatbots - they're systems that can take autonomous actions based on high-level goals.

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What are some known/published *active* applications of RL in production (i.e. are actually providing some financial utility)? Note that this excludes games, simulations, and in-lab robotics.

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Write your training loops with care, as if your ML model hated you and wanted you to fail.

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There's a lot of confusion about o1's RL training and the emergence of RL as a popular post-training loss function. Yes, these are the same loss functions and similar data. BUT, the amount of compute used for o1's RL training is much more in line with pretraining.

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