🧵 DeepSeek appear to have engaged, or be engaging in, a large-scale operation to collect outputs from proprietary models (including Claude Fable 5) for certain requests via their API as part of a distillation effort. After seeing such claims circulating earlier today, we conducted an investigation into them on our Discord. We found that, when "Deepseek V4" was used within OpenCode - via their official API - for complex prompts (i.e. 3D games) and combined with a knowledge-related query, the model provides virtually identical outputs to Fable 5. CoT structure is also very different from what is typically expected from Deepseek models. Both of these behaviours revert to what is expected for V4 when simpler prompts were used. When "Deepseek V4" was asked to incorporate answers to questions related to cyber or bio tasks that we verified hit Fable's classifiers into its 3D games, outputs tanked in quality. This is very difficult to explain unless the request was routed to Fable and fell back after hitting a classifier. For complex code prompts without anything else mixed in, like 3D games, outputs were remarkably similar to those produced by Fable 5. We were able to produce these results most consistently via OpenCode and the official Deepseek API combined with a prompt that specifies a complex code task. Deepseek have continued to modify their routing system since, as we have observed changes in behaviour and CoT style compared to those seen previously. Our investigation was conducted from 7AM-8AM PT.

GPT-5.6-Sol 消耗倍增的真相找到了。 建议在 ~/.codex/config.toml 加上两行： model_context_window = 272000 model_auto_compact_token_limit = 240000 能让你的 Codex 额度耐用 1.5-2 倍。

给大家一个忠告！如果你要使用 5.6 sol。 请把 Superpowers 暂时的丢进垃圾桶！ 否则你将会见到模型持续数小时的左右脑互博！最终问题越来越多，没完没了！

嗯哼火锅花费3.99万，整场贡献不少乐子。 帽子叔叔来了、只能吃套餐不准加菜、一桌人吃一个双人餐。 点评：有的吃就不错了，币圈韭菜人生第一次见到回头钱。