11-11 Daily Briefing

AI News Daily · 11 Nov 2025

AI News | Daily Briefing | Tools | Research | Industry | Open Source | Human Impact

Meituan opens public beta for CatPaw, an IDE with agent copilots and one-click debugging.
Post-00 founders unveil Vinsoo AI IDE, claiming project-level generation that beats Claude Code using domestic models.
OpenAI ships GPT-5 Codex Mini, a lighter code model while relaxing Plus/Pro rate limits.
Moonshot open-sources Kimi K2 Thinking; researchers warn KV caches beyond pretrain context can break accuracy.
McKinsey reports 88% AI adoption but only 39% profit growth; devs argue cheap models raise hidden costs.

CatPaw (Meituan) — AI coding environment with an embedded “CatPaw” agent for Q&A, project analysis, and one-click debugging. Public beta signup is live. [Link]
Vinsoo AI IDE — Built entirely on domestic models via ultra-long context + multi-agent orchestration, capable of zero-shot project generation. [Link]
GPT-5 Codex Mini — Leaner code model with higher throughput, CLI/IDE extensions live, API “coming soon,” and higher quota for Plus/Pro/Enterprise. [Link]

Kimi K2 Thinking — Open weights + scripts + commercial licence; training cost only USD 4.6M while beating GPT-5 on “human final exam” benchmarks. [Link]
KV cache pitfalls — Running beyond the pretraining window breaks RoPE continuity and tanks accuracy worse than OOM. [Paper]
Text-to-robot assembly — Combining 3D generative AI + VLMs to let robots decompose natural-language specs into structured parts. [Paper]

McKinsey 2025 AI Report — 88% adoption vs 39% profit growth highlights the gap between feel-good pilots and production results. [Link]
Beware bargain models — Engineers note that extra retries, guardrails, and manual QA often erase the savings from cheap APIs.

Developers caution that chasing low-cost models can backfire once supervision, re-runs, and integration overhead are included.

Last updated on 2025/11/14 15:04:52