Qwen3.8-Max 完成 33 轮自动迭代，Artificial Analysis 分数从 40 升到 45
> «…completed 33 iterative cycles. Through auto…
阿里 Qwen3.8-Max 被曝跑了 33 轮自动训练迭代，AA 分数从 40 涨到 45，还有 2.4T 参数的说法。
据 X 用户 teortaxesTex 透露，Qwen3.8-Max 通过自动训练优化和后训练技术完成了 33 轮迭代。
更新后的 Artificial Analysis 评分从 40 提升到 45。该消息称这是一款 2.
4T 参数、95AB 结构的模型。
> «…completed 33 iterative cycles. Through auto…
> «…completed 33 iterative cycles. Through autonomous training optimisation and post-training techniques, the updated Qwen3.8-Max boosted its Artificial Analysis score from 40 to 45» This is a 2.4T 95AB model. Some RSI. Wenfeng needs to edify them via ragdolling… again.
This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Qwen, Qwen3.8-Max, Artificial Analysis, 开源模型.
Source attribution: curated from Teortaxes (@teortaxesTex).
