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Research Explainers
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Research Explainers
The Agent That Updates the Harness Is Not the Bottleneck
A new paper separates the model that improves an agent's harness from the model that has to use it. The result is a useful warning for agent builders: cheap models may write decent harness updates, but the task-solving agent still needs enough capability to load and follow them.
Research Explainers Bigger Models Remember the Rare Stuff Long Enough to Learn ItA new scaling paper argues that larger models win partly because frequent tasks stop overwriting rare-task features.
Research Explainers Situational Awareness Is the AI Acceleration Thesis in One PlaceLeopold Aschenbrenner's Situational Awareness argues that AGI by 2027, rapid superintelligence, trillion-dollar clusters, lab security, and government mobilization all follow from the same trendlines.
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