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Stories from OpenAI come first, newest first, then stories from connected topics (AI, ChatGPT, Codex, AI Policy & Safety, AI Safety, Anthropic), each labelled with where it comes from. This view is not indexed by search engines.

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Five9 to Acquire Level AI in About $325m Cash Deal

Five9 Level AI: Five9 agrees to buy Level AI for about $325m cash; close expected in 2026; apps stay standalone and inside Genius CX.

Thinking Machines Ships Inkling 2 Small Via Tinker

Inkling 2 Small: Thinking Machines’ 594B MoE (17B active), vision, 1M context; closed weights on Tinker now, Apache 2.0 planned after safety testing.

Cursor Live Apps: Cloud Agents Build and Host Web Apps

Cursor Live Apps: cloud agents scaffold apps with optional Postgres and SSO, run security checks, and go live only after you explicitly publish.

Claude Adds Personal Finance Beta With Plaid Bank Links

Claude personal finance US beta on Pro/Max/Ultra links banks via Plaid read-only; up to 16 banks, 24 months of data; hub chats not used for training.

NATO Opens Counter-Drone Marketplace With 16 Solutions

NATO counter-drone: NCIA selects 16 solutions from five firms under Drone Edge; 18-month frameworks; EUR 3.1m testing; Allies buy from the NATO catalogue.

DOJ Launches Super Intelligence Task Force Under Woodward

Super Intelligence Task Force: DOJ forms DOJ-SITF under Woodward and Weiss, merging Bondi’s AI Task Force; public launch 5 Nov after an October memo.

OFAC Expands Prince Group Sanctions Across Corporate Network

Prince Group sanctions: OFAC names four people and 41 TCO-network entities, plus a Madagascar scam facilitator; Treasury cites over $400,000 US losses.

US Agencies Warn on Industrial Refrigeration Cyber Threats

Refrigeration cyber: CISA, FBI, HHS, USDA and DoT urge hardening of industrial refrigeration and cold-chain monitors amid global malicious activity.

METR Says Anthropic AI R&D Pace Is About Twice Historical

METR assessment: Anthropic AI R&D ~2x historical pace (uncertain 1.3–3x); AECI ~1.9x; ~80% AI-attributed is METR’s guess; heavy redactions.

Google Open-Sources XLA Serving Engine for C++ Inference

XLA Serving Engine: Google open-sources XSE for train-in-Python, serve-in-C++; claims 2–5x throughput. Not for large LLMs.

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