If SSI Solves Continual Learning, Millions of Users Could Train the Model
imjustnewatai · x · 2026-08-05
The author explores a potential paradigm for SSI (Safe Superintelligence): treating the public model release as part of the training run itself.
The core idea is that millions of users could provide an endless stream of real-world data (new professions, cultures, edge cases) impossible for private labs to manufacture. By establishing a filtered learning loop—experience extraction → outcome measurement → lesson summarization → safe testing → model update → global sharing—the model could become meaningfully more capable every single day through public interaction.
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