AI 精选动态
智能评分 60
M3实现代码自修循环
AI 推荐理由
展示了如何将多个模型通过 Together Compute 编织成低延迟的自主代理系统，提供可复现的架构思路。核心解读
Victor Su-Ortiz 构建了一个使用 MiniMax M3 进行推理、Parakeet 进行语音转文本、MiniMax Speech 2.8 进行语音合成的 Mac 顶栏应用，实现网站设计审查、反馈和自动代码修补；切换 STT 至 Together AI 后延迟从 546ms 降至 277ms。
全文
nice example of M3 in a real agent loop, all served through @togethercompute
> **引用原帖 Victor Su-Ortiz (@VictorSuOrtiz):**
> forked clicky into a tiny Mac top-bar app that reviews my website designs, talks back, and patches the code itself.
> the loop:
> “what’s wrong with this?” → @MiniMax_AI M3 reads the screen + points at the weak parts
> “fix it” → it edits the actual files on disk
> @togethercompute served the full model stack for the demo: Parakeet for STT, MiniMax Speech 2.8 for voice, and MiniMax M3 for reasoning.
> Even saw a reduction in latency from 546ms to 277ms when switching STT to Together AI
> demo below
> https://x.com/VictorSuOrtiz/status/2066949934684024905