The score is a big improvement but the self-improving harness is the most exciting part. If this can actually self-optimize the act of discovery itself then there could (and should) result in a revolution in science itself.
- Priml (https://github.com/rekursiv-ai/priml), strongly typed PyTorch (yes you read that right) ML library that allow you to iterate experiment ultra fast.
- Sagent (https://github.com/rekursiv-ai/sagent), stop a Claude session and switch to Codex to continue the conversation, and that's a minor feature
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[ 0.35 ms ] story [ 17.3 ms ] threadTools that makes all these possible:
- Priml (https://github.com/rekursiv-ai/priml), strongly typed PyTorch (yes you read that right) ML library that allow you to iterate experiment ultra fast.
- Sagent (https://github.com/rekursiv-ai/sagent), stop a Claude session and switch to Codex to continue the conversation, and that's a minor feature
- Trackinizer (https://github.com/rekursiv-ai/trackinizer), epistemologically designed schema and knowledge process, not your regular knowledge graph.