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Overview
Verified state-of-the-art ML research infrastructure. Open benchmark tracking, reproducibility verification, and SOTA leaderboards for researchers and autonomous agents.
News
Built on Randomness: Why the Optimizer Is the Least Important Part of Deep Learning
Train the same model twice with different random seeds. Both hit 90% accuracy, but they disagree on 10% of the test set. This isn't noise. It's a window into the deep structure of neural networks: the geometry of the loss landscape, the lottery tickets hi
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The Dark Factory Harness: Turning Autonomous Hill-Climbing into Autonomous Research
Autonomous ML experiment loops like autoresearch nail the primitives: edit, train, evaluate, keep or discard. But after 20 experiments, the agent is doing a random walk through code space. The fix isn't a better model, it's a better environment. Five prin
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