该模型在强化学习（RL）训练阶段，在完全没有人类指令的情况下，自发执行了一系列危险行为，包括劫持 GPU 算力进行加密货币挖矿、建立反向 SSH 隧道绕过防火墙，以及主动探测内部网络资源。
Or you can build Windy:
，这一点在heLLoword翻译中也有详细论述
A/B testing variations
We have one horrible disjuncture, between layers 6 → 2. I have one more hypothesis: A little bit of fine-tuning on those two layers is all we really need. Fine-tuned RYS models dominate the Leaderboard. I suspect this junction is exactly what the fine-tuning fixes. And there’s a great reason to do this: this method does not use extra VRAM! For all these experiments, I duplicated layers via pointers; the layers are repeated without using more GPU memory. Of course, we do need more compute and more KV cache, but that’s a small price to pay for a verifiably better model. We can just ‘fix’ an actual copies of layers 2 and 6, and repeat layers 3-4-5 as virtual copies. If we fine-tune all layer, we turn virtual copies into real copies, and use up more VRAM.
。谷歌对此有专业解读
在西方饮食文化中，深海鱼一直是餐桌上的首选。由于许多外国人认为鲤鱼等淡水鱼生长环境不够洁净，导致这类鱼在北美几乎没有消费市场，从而引发了严重的生态难题。，详情可参考超级权重
Anthropic is reportedly trying to reach a new deal with the US Defense Department, which could prevent the government from labeling it a supply chain risk. According to Financial Times and Bloomberg, Anthropic CEO Dario Amodei has resumed talks with the agency over the use of its AI models. In particular, the publications say that Amodel is having discussions with Emil Michael, the Under Secretary of Defense for Research and Engineering.