Induction Labs
@induction_labs
Research, infrastructure, and data for building autonomous researchers.
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We released FrontierML two weeks ago, so labs likely haven’t targeted it yet.
The gap between open and closed models still remains large on complex, end-to-end machine learning work.
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Kimi K3.1 Pro is now the best open-weight model at training other AI models.
But it’s still far behind Opus 5.5 at every budget.
New FrontierML results, our benchmark for end-to-end ML work ⬇️
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Intrinsic discovery uses RL to uncover new behavior in an environment. The model is rewarded for reaching states unlike those found so far, then sampled again after each update to push exploration further.
This approach discovers 5× more novel states than a frozen baseline.
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We’re introducing imagination models: a new foundation model architecture that unlocks learning from internet-scale video.
Our first imagination model, Photon-1, learned to use a computer by watching 18 years of screen recording video without action labels.
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