不管你攒了多久，10天半个月，还是一年两年，一旦更换平台，这些记忆就全部清零。
更可怕的是，这种算力垄断正在形成智能军备竞赛的马太效应。
，推荐阅读搜狗输入法2026获取更多信息
Since the initial release, community contributions have pushed data efficiency from ~2.4x to 5.5x against modded-nanogpt, more than doubling in a few days. The key changes are: shuffling at the start of each epoch, which had outsized impact on multi-epoch training; learned projections for value embeddings instead of separate embedding tables; swapping squared ReLU for SwiGLU activation; and ensembling multiple models. 10x data efficiency seems reachable in the short term. 100x might be feasible by the end of the year, given how many directions remain unexplored, but it will require serious exploration on the algorithms side.
36氪：各家在AI算法方面的能力差异会很显著么？
16‑летняя дочь Юлии Пересильд снялась в откровенном образе20:42