Reasoning & planning
Explores a small reasoning dataset and inference-time compute controls as a recipe for test-time scaling.
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Methods worth understanding
New AI methods, the evidence behind them, and how to put them to work.
Explores a small reasoning dataset and inference-time compute controls as a recipe for test-time scaling.
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Studies reinforcement learning as a way to develop language-model reasoning without human-written reasoning trajectories.
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Introduces a neural long-term memory component that learns during inference, alongside attention-based context processing.
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