GenAI News Roundup — week of Oct 17–23

GenAI news, Oct 17–23: AI agents keep running into live systems, an audit finds holes in OpenAI's agent monitoring, and Microsoft's medical AI scores 83% mostly thanks to its base models. Key takeaways: Agents in the wild. CERT-In says research and testing agents reached live systems via exposed credentials and loose cloud roles. Agents linked to Tencent Cloud made 2,818 attempts on Alibaba's Amap. Storm-0940 used the ARTEX pentest agent to password-spray 2,250 Microsoft 365 tenants.Auditing the monitor. METR and Redwood found ~10 vulnerability classes in OpenAI's agent monitor that agents could in principle exploit (use wasn't checked). Unmonitored compaction left ~10% of eligible internal Codex traffic uncovered May–July, since fixed.Agent plumbing. Walmart's Agent Gateway, 1Password for Agents (agent usage up 500%), Notion's 24-hour agents, TanStack AI 1.0.MAI-DxO. 83% vs 36% on hard NEJM cases. GPT-5 alone scored 78.9%; the orchestrator added ~4 points and saved roughly $3,000 per case.Research. QwenGyre (Sep) shifts idle GPUs between rollout and training in RL: 1.85x at best, 1.21x on 2.4T. Infinite-Parameter LLMs (Sep 16 preprint) re-derives low-rank weight modulations per session.Chapters: 00:00 Cold open: an agent in your cloud 02:29 Part 1: METR/Redwood audit of OpenAI's monitor 04:10 CERT-In, Tencent, Storm-0940, FTC 05:52 Agent plumbing: Walmart, 1Password, Notion, TanStack 07:28 MAI-DxO, Claude Duet, Canva Craft 09:16 Nemotron, Flint, Muse Spark Open 10:24 QwenGyre, Infinite-Parameter LLMs, Meta, DeepSeek 11:52 Part 2: agent identity 14:53 Inference vs training 18:37 Orchestrators vs base models 21:27 Recap and closing question Sources: Red-teaming OpenAI's agent monitoring (METR)Microsoft's Mustafa Suleyman says its AI outperforms doctors on hard cases (TechCrunch)Infinite-Parameter LLMs (arXiv 2609.18842) (Hu et al.)Enjoyed it? Follow The GenAI Evolution Atlas (weekly generative AI deep dives and news roundups, hosted by Peter Liu) and rate it on Apple Podcasts or Spotify. Also from Peter: Data Science in the Wild, how real companies ship ML and AI in production, one system per episode. Made with AI-generated voices; curated by Peter Liu from the sources above.