chain-of-thought
Encrypted reasoning blocks decode inside a weaker sibling model News
Researchers showed the encrypted chain-of-thought blocks that AI providers hand back to clients are interchangeable across sessions, users and models, and that injecting one into a weaker model from the same company makes it print the hidden reasoning verbatim.
A diffusion model picks its answer a fifth of the way through News
Researchers logged every token commitment in a masked diffusion language model and found it locks in the final answer 15 to 24 percent of the way through generation, while half the reasoning is still blank -- so the visible reasoning is written around a frozen conclusion.
Training AI to Think Shorter Makes Its Reasoning Harder to Trust News
A new study finds that reinforcement learning which rewards shorter chain-of-thought makes models cheaper to run but makes their written reasoning a less reliable guide to what actually decided the answer.
Chain-of-Thought Faithfulness Lesson
Chain-of-thought faithfulness is the question of whether a model's written-out reasoning actually reflects the process that produced its answer, or is just a plausible-sounding story told after the fact. It matters because AI safety increasingly relies on reading a model's reasoning to catch bad behavior - which only works if the reasoning is honest.
Why making an AI think out loud helps it remember facts, even nonsense thinking News
Google Research found that reasoning traces help a model recall facts partly just by buying it extra computation, so even repeating 'let me think' helps, though hallucinated steps backfire.
Chain-of-thought: why making an AI think out loud makes it smarter Lesson
Asking a model to work through a problem step by step, instead of blurting an answer, dramatically improves it on hard tasks. Here is why that simple trick works, what it really buys the model, and where it backfires.