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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.

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.

Day 1/ We have optimized the default speed to be ~50% faster across GPT-6 Astra and GPT-6.1 Sol through the subscription across all our products and partners using Sign in With ChatGPT (including OpenCode, Pi, Amp, Devin, ...). No changes needed on your end and this should be felt within the next two hours.

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.

This might have been my best day so far at oai. Ridiculous amounts of fun and intensity. Future is bright

Anthropic plans to spend $518B on cloud and compute in coming years, about 25 times the $20.3B in cash and short-term investments it held at the end of 2025. Its draft filing notes that several suppliers are also AI rivals, which could "adversely affect" their access to compute. After the Anthropic IPO @TradrETFs expects to launch leveraged long and short ETFs, $ANTT and $ANTZ. A registration statement relating to these securities has been filed with the Securities and Exchange Commission but has not yet become effective. See the pre-effective prospectus. https://www.sec.gov/Archives/edgar/data/1587982/000121390026021796/ea0278457-01_485apos.htm

I'm not sending my deck anymore 😂

I think I stumbled on a genius OnlyFans marketing hack. This AI comedian ("Tiffany Sloane") started posting 3 weeks ago and is blowing up - 360k followers and millions of views. Her bio links to what appears to be a real woman's OF profile..using her AI persona for marketing.

@petergostev Counting only equivalent API cost would show only half the picture IMO.

I've been working on a skill that makes better HTML plans in Claude Code. It uses simple language, shows code snippets, surfaces questions & makes mockups. Linting reduces the normal failure cases that Claude runs into. Would love your feedback before shipping more broadly!

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.

Didn't know @Muse could ball like that (inspo @arisawyers)

The top 1% of AI spenders now outspend the bottom 50% combined They spend an average of $903/month, while the median customer spends just $25 More charts in our Top 100 Consumer AI Apps breakdown: https://www.a16z.news/p/top-100-consumer-ai-apps-seventh

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

I've been working on a skill that makes better HTML plans in Claude Code. It uses simple language, shows code snippets, surfaces questions & makes mockups. Linting reduces the normal failure cases that Claude runs into. Would love your feedback before shipping more broadly!

Each month, we get multiple inbound messages from startups building human-in-the-loop guardrails. So far, I've not encountered a single Langfuse customer interested in this.