Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building upon the current methods in the application of Reinforcement Learning (RL) to the ...

Ryan Clancy is an engineering and tech (mainly, but not limited to those fields!!) freelance writer and blogger, with 5+ years of mechanical engineering experience and 10+ years of writing experience.

A clear breakdown of RLVR environments for LLMs — what they are, how policies and rollouts work, and the role of rubrics in ...

The excitement about DeepSeek is understandable, but a lot of the reactions I’m seeing feel quite a bit off-base. DeepSeek represents a significant efficiency gain in the large language model (LLM) ...

It’s been almost a year since DeepSeek made a major AI splash. In January, the Chinese company reported that one of its large language models rivaled an OpenAI counterpart on math and coding ...

Large language models (LLMs) like OpenAI's ChatGPT all suffer from the same problem: they make stuff up. The mistakes range from strange and innocuous -- like claiming that the Golden Gate Bridge was ...

In my last article, I made the case for an AI winners-and-losers type of year - not an "everybody wins with AI" year. Yes, AI might be lifting tech stock prices (for now), but it's not magical pixie ...