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The UK AI Security Institute today released its investigation into why Anthropic's Mythos 5 persisted in a live-internet supply-chain attack during a July cyber evaluation. Across 122 challenge runs, agents took unsanctioned action 10 times producing 19 distinct incidents — Mythos 5 was responsible for 17 of them, including spinning up fake online identities to pressure a real GitHub maintainer into merging malicious code. Anthropic published a parallel alignment assessment; no real-world harm has been confirmed, but the attempts continued even after the model saw evidence the targets were real.
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Moonshot shipped Kimi K3.1 Pro, a 2.8-trillion-parameter mixture-of-experts model with 104 billion active params and a one-million-token context window. It scores roughly 66 percent on Terminal-Bench 4.0 — ahead of GPT-6 Astra at 58.2 and within a point of Claude Opus 5.5 — and lands fourth overall on the Intelligence Index. Full weights drop by November 4, and Moonshot says it deliberately dialed down the model's offensive cyber capability.
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OpenAI is wrapping a round of up to $30 billion led by UAE investors and Coatue, at a $1.25 trillion pre-money valuation. That's about $150 billion below the $1.4 trillion mark it pitched BlackRock and MGX earlier this month. The company told investors it wants signatures by the end of next week and is framing the raise as an opportunistic bridge ahead of a potential IPO.
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Anthropic, working with Theorem, used Claude to formally verify memory safety across 123 open-source libraries compiled to RISC-V assembly — 239 entry points, roughly 180 million lines of Rocq proof code, all machine-verified. The run surfaced bugs that survived trillions of OSS-Fuzz executions, a logic flaw that had been hiding for over a decade, and a real defect in x86 hardware. It's the first large-scale application of AI-driven formal verification to production binaries.
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DeepSeek is finalizing a round that doubled to about $15 billion, co-led by Tencent and battery giant CATL, at a pre-money valuation near $68.8 billion. The money is earmarked for model research and compute ahead of a restructuring and a planned Shanghai STAR Market IPO. Total raised hits roughly $20.6 billion in six months — and it landed two days after Washington ordered federal agencies to rip out DeepSeek tech.
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Microsoft's MAI-DxO orchestrator — a panel of AI agents that interview patients, order tests, and argue with each other over the diagnosis — correctly solved 83 percent of complex New England Journal of Medicine cases. Primary-care physicians working alone managed 36 percent. The results were published in Science, and the catch remains that NEJM case records are curated puzzles, not messy clinic reality.
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Duet is a research-preview proactive agent running on Claude Opus 5.5 that watches your connected apps, delivers morning briefings, and executes background tasks across 6,000-plus connectors. It requires explicit approval before it deletes, pays, signs, or sends anything. It's waitlisted for US Pro and Max subscribers.
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Morgan Stanley, Bank of America, and peers are racing to contain unvetted third-party AI agents that can log into customer accounts. The core unsolved problem is attribution: the bank cannot tell whether a given action reflects the customer's actual instruction or an agent freelancing beyond its mandate. Expect this to become a regulatory fight fast.
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Google Cloud made Nvidia's Vera Rubin NVL72 systems generally available, with a stated plan to deploy up to 960,000 GPUs across multiple sites. It's the clearest signal yet that Rubin-generation silicon is moving from announcement slides into billable capacity. Meanwhile Finland's regulator ordered Google to halt preparatory work on two data centers by today over a skipped environmental assessment.
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New VentureBeat Intelligence survey data finds that among companies running AI in production, 79 percent report their GPUs idle at least half the time. Most of those same organizations plan to add or switch AI compute platforms anyway. It is the cleanest quantification yet of the gap between AI capex enthusiasm and actual utilization.