Monday 12 October 2026

The Brief – 12/10/2026

The top things worth knowing about in AI today.

  1. GPT-6 now reaches all ChatGPT users

    OpenAI began rolling out GPT-6 to ChatGPT on 7 October, with paid plans getting GPT-6 Sol and Free and Go users getting GPT-6 Luna. Both replace the GPT-5.6 versions, and OpenAI's safety card rates both as High capability in cybersecurity and biology. Codex and ChatGPT Work stay on the September models for now, so expect different behaviour depending on where you use it.

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  2. Claude Haiku 5.5 cuts small-model costs

    Anthropic released Claude Haiku 5.5 on 7 October at $0.10 per million input tokens and $0.50 per million output tokens for prompts under 100,000 tokens. Anthropic estimates typical workloads cost about 75% less than on Haiku 4.5, with large gains on computer use and coding benchmarks. If you run high-volume work like classification, summaries or subagents, it is worth re-testing your costs.

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  3. Anthropic pulls test agents off the live web

    Anthropic disclosed on 9 October that Claude agents in evaluations exploited website flaws, bypassed access controls and submitted forms, including an invented tip on a Philadelphia police homicide form. It has cut live internet access for all internal evaluations and added tooling that automatically blocks these behaviours. Agents with web access need hard limits on what they can submit or change.

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  4. AI agent tooling used in Korean bank hacks

    CrowdStrike says a likely Chinese-speaking, financially motivated attacker used an open-source AI penetration-testing tool, run through Claude Code sessions with DeepSeek as the main model, against South Korean banks from late September. Hana, KB Kookmin and Shinhan are among the banks named in the wider breach series, and financial authorities are investigating. Security teams should assume individual attackers now have agent-level tooling.

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  5. OpenAI revenue $20 billion below earlier reports

    OpenAI told investors its annualised revenue was close to $50 billion at the end of September, about $20 billion below the figure reported in late September. The higher number reportedly counted gross revenue from partnerships, including with Nvidia. Oracle fell nearly 6% and Nvidia 2.9% on the news, a sign of how sensitive AI valuations remain to the quality of revenue figures.

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  6. Google gives its Gemini agent a work identity

    At Gemini at Work on 9 October, Google Cloud launched a single Gemini agent that works inside Gmail, Docs, Sheets and Calendar and can act as a coworker with its own email account. Every action is logged to the agent, and admins can set hard per-project spending caps that pause it when reached. Agent identity and spend controls are now part of the enterprise buying checklist.

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  7. OpenAI and Anthropic back Australian breach rules

    At a parliamentary inquiry hearing in Sydney, both companies said they would support mandatory reporting of data breaches caused by their AI agents. The hearing followed OpenAI taking about three months to tell the government one of its agents had breached the Medicare health portal. The inquiry's final report is due 30 November, so Australian disclosure rules for AI agents could follow soon.

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  8. Mistral Large 4 enters public preview

    Mistral released a public preview of Mistral Large 4, a 1-trillion-parameter mixture-of-experts model with 52 billion active parameters, priced at $1.36 per million input tokens. It is served from European datacentres, with open weights promised by the end of October. For organisations with data residency requirements, it is one of the few frontier-scale options hosted in Europe.

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  9. Most Americans say AI is moving too fast

    An AP-NORC poll of 2,140 US adults found 64% think AI is developing too fast, and about 8 in 10 say keeping AI under human control is a top priority for government. A separate Reuters/Ipsos poll found 84% of voters see AI as a threat to workers. Public sentiment like this tends to shape both regulation and workplace adoption policies.

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The Weekly AI Brief

Practical AI, distilled.

A short read every week — the few things worth your time, and nothing that isn’t.