刚刚！Ilya首个模型曝光了
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Merged summary
TL;DR - An unverified leak claims Ilya Sutskever’s SSI is developing a small inference model that learns during deployment through test-time training (TTT). If confirmed, it could shift scaling from static pretraining and longer contexts toward continual adaptation.
- The rumored model learns “how to learn” from curated data, then updates some weights while solving tasks.
- SSI may expose the current version to select users in August, but conflicting reports say the release could be delayed.
- The approach reportedly resembles TTT-E2E, which treats context as training data and compresses information into model weights through next-token prediction.
- SSI has not confirmed the model, its capabilities, or claims that it can safely avoid harmful learning and catastrophic forgetting.
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刚刚！Ilya首个模型曝光了
Public signals
N/A
TL;DR - An unverified leak claims Ilya Sutskever’s SSI is developing a small inference model that learns during deployment through test-time training (TTT). If confirmed, it could shift scaling from static pretraining and longer contexts toward continual adaptation.
- The rumored model learns “how to learn” from curated data, then updates some weights while solving tasks.
- SSI may expose the current version to select users in August, but conflicting reports say the release could be delayed.
- The approach reportedly resembles TTT-E2E, which treats context as training data and compresses information into model weights through next-token prediction.
- SSI has not confirmed the model, its capabilities, or claims that it can safely avoid harmful learning and catastrophic forgetting.