Day 2.1/ We have made Auto-review free for all users signed in through a ChatGPT account. You can enable it in settings > permissions > auto-review. Auto-review improves upon the default sandbox setting that requires you to approve everything, which is prone to decision fatigue unless you spend a lot of time configuring specific rules. It allows you to run long tasks while having a second agent review all actions taken by the primary agent. Its only goal is to prevent high-risk actions from being taken and to protect against unwanted actions that are not aligned with the original user intent. This Auto-review feature is now free and does not draw usage from your plan.

We are making Markdown files work natively across Google Drive and Docs. You can now preview .md files in Drive, open them in Docs, edit them, comment on them, and collaborate without converting the file into a Google Doc!

DAILY AI BRIEF 🗞 — Mon 5 GOOGLE 🔥: * Gemini app is reshuffling model access: free users drop to Flash-Lite only from Oct 9, AI Plus loses Pro, and AI Pro gains Deep Think. ALEPH ALPHA 🔥: * Kolibri-1 is out as open weights under Apache 2.0: a 78B MoE with 3.46B active parameters, built for German/English sovereign deployments. ANTHROPIC 🔥: * Claude now asks voice users to opt in to sharing voice data for model training, via a separate privacy toggle that is off by default. OPENAI 🔥: * GPT-6.1 Sol Ultrafast is coming soon, per Codex lead Tibo Sottiaux. * Safety lead David Robinson resigned, writing in The Atlantic that OpenAI's "culture is broken." MISTRAL 🔥: * Mistral is working on its own Voice Mode, which looks TTS-based for now. META 🔥: * Meta is building an "Agent Engine" for its Meta API Platform, codenamed Forge internally. * Used Grok to compose this brief, cherry-picking the news and doing some post-editing.

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Meta and Microsoft are cutting employee use of Claude Earlier, Microsoft had projected at least $1B in internal Claude spending this year, then cut that figure by more than 33%. OpenAI's own data show the climb steepening late, with the median researcher consuming more than $600 worth of tokens per day i.e. around $1.8 mn per emplyee/per year. Those agents now log 3.1 agent-workdays for every human workday, using an eight-hour workday as the comparison. Microsoft is moving the other way, cutting most per-employee AI budgets in its 60K-person cloud and AI group from $100K to about $10K a month, roughly $333 a day. Meta's Claude Code users have likewise fallen from about 60K to about 30K, as staff shift to its in-house MetaCode and Muse Code tools.

Also GrokBot is far and above every other personal AI tool. Link your email, bank account, fantasy football login... The other AI companies are toast.

Power users are driving consumer AI market growth. The top 1% of US consumer AI payers average $903 a month, while flat plans hold the median at $25. One top-1% payer spends as much as roughly 59 bottom-half payers, on average. Median spend has barely moved, while average spend in the top 1% climbed from $504 to $903 a month between January 2025 and August 2026. Model labs are better placed than apps built on their models to capture consumer AI's top 1% of spenders. Those users average $903 a month, up from $504, and most of it buys model usage. A lab pays only its serving cost for that usage, while an app pays API prices. Anthropic earlier said one $200 Max subscriber ran up tens of thousands of dollars in usage, a bill no API-paying app could absorb. Apps that want this tier have to own more of the model, as Cursor began doing with its Composer coding model.

Introducing flow-1, our new model trained with RL to find errors in agent traces. It matches GPT-6-sol in trace intelligence while being 23x cheaper. It also costs 25% less to run than GPT-6-luna. flow-1 finally makes it possible to monitor and understand every agent run, without sampling. 1/6