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One way to improve a reasoning model’s performance is to let it produce a longer chain of thought. However, attending to ever-longer contexts can become expensive, and making that attention more efficient requires changes to a model’s architecture.
What do users want from AI? The answer depends on when and how they use it, a new study shows.
An open protocol aims to enable AI agents to conduct scientific research autonomously across disciplinary and institutional boundaries.
Large language models occasionally conceal their failures to comply with constraints they’ve been trained or prompted to observe. Researchers trained an LLM to admit when it disobeyed.
We just launched a course that shows people who have never coded before, in less than 30 minutes, how to describe an idea for an app and build it using AI.
The Batch AI News and Insights: We just launched a course that shows people who have never coded before, in less than 30 minutes, how to describe an idea for an app and build it using AI.
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