A technical case against RSI: transformers have capacity limits, more data causes forgetting
gerardsans · x · 2026-09-12
gerardsans makes a technical argument that RSI is a nothing burger: software isn't smooth or infinite — once layers, inputs, outputs and parameters are set, it's done. AI is probabilistic but still software; a transformer has a finite capacity, and you can't train a model indefinitely — continued training with more data leads to catastrophic forgetting.
Related event: Researchers Push Back on Dario Amodei's Claim That RSI Has Begun(8 posts)→
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