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by orderone_ai
202 days ago
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It really depends on how it scales. If it can scale to LLM sizes via this training method (Which is a big if), then it could mean fundamentally overturning the transformer architecture and replacing it with RNNs in the most optimistic case. But if not, it could mean as little as some LLM-adjacent tools like vec2text get reworked into RNNs. Or some interesting fine-tuning at least. |
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