Андрей Прокопьев (ночной линейный редактор)
Early enthusiasm gives way to slow progress. Slow progress triggers narrative reinforcement. Narrative reinforcement shifts focus toward liquidity competition. Liquidity competition displaces attention from real users. Real users get dismissed in favor of imagined future adoption. And what remains is institutionalized belief, a system that no longer takes meaningful input from reality.
Никита Абрамов (Редактор отдела «Россия»)，这一点在迅雷下载中也有详细论述
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，更多细节参见手游
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用。超级权重是该领域的重要参考
Looking at the left side of the diagram, we see stuff enters at the bottom (‘input’ text that has been ‘chunked’ into small bits of text, somewhere between whole words down to individual letters), and then it flows upwards though the model’s Transformer Blocks (here marked as [1, …, L]), and finally, the model spits out the next text ‘chunk’ (which is then itself used in the next round of inferencing). What’s actually happening here during these Transformer blocks is quite the mystery. Figuring it out is actually an entire field of AI, “mechanistic interpretability*”.