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AI & Machine Learning
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A few useful paths through AI & Machine Learning
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Lessons from Drew Breunig
Part 1: The Gods, Interns, and Cogs Framework 1. On the Taxonomy of AI: "AI use cases can be simplified into three distinct buckets: Gods, Interns, and...
Research Explainers The Agent That Updates the Harness Is Not the BottleneckA 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.
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Better Agent Interfaces Can Beat Better Agent Weights
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