An audio version of my blog post, Thoughts on AI progress (Dec 2025)
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I'm confused why some people have super short timelines, yet at the same time are bullish on scaling up reinforcement learning atop LLMs. If we're actually close to a human like learner, then this whole approach of training on verifiable outcomes is doomed. Now, currently the labs are trying to bake in a bunch of skills into these models through mid training. There's an entire supply chain of companies that are building RL environments, which teach the model how to navigate a web browser or use Excel to build financial models. Now, either these models will soon learn on the job in a self direc
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