@pro.glitch: The full GPT-6 breakdown — everything that's actually confirmed Everyone's reacting to headlines. I read the source — the announcement, the pricing docs, and the safety report almost nobody opened. THE BASICS: GPT-6 Astra, launched Sept 3 (messy launch — the post went up, vanished, came back). Paid plans only, no free tier. 1M+ token context. OpenAI's biggest training run ever — first on 100K+ GPUs. THE REAL HEADLINE: it can use a computer. Literally — it looks at the screen and clicks and types inside your actual apps. Browser, spreadsheet, design tools. No integration, no connector. (Honest note most videos skip: Claude pioneered computer use ~2 years ago, and Anthropic's models are still strong at it. What's new is the LEVEL — Astra just set the benchmark record, finishing tasks almost twice as fast as the previous model.) And it builds documents, spreadsheets, and presentations that follow YOUR templates — adapting mid-task when you change direction, even asking you a question while it keeps working. One specific result: 88% of tasks solved in ONE attempt on SRE-Bench, a software reverse-engineering benchmark (previous model: ~56%). That is not a success rate for every office job. Agent runs can go for hours. THE CHAPTER EVERYONE GOT WRONG: yes, it's the first model rated Critical for cybersecurity — it found two unknown security flaws in its own testing. But there are effectively TWO Astras: the full-power one is locked behind a vetted defender program. The public version helps with code review and patching, while refusing more advanced tasks such as creating proof-of-concept exploits. The dramatic headline changes almost nothing about your daily use — but it explains the caps, the monitoring, and the staged rollout. THE LINE EVERY VIDEO SKIPPED (from the safety report): the model is more aligned than anything they've measured AND harder to watch think — so OpenAI runs watchdogs on every tool-using task that page actual humans who can pause the work. If THEY keep approval gates, so should you. THE FINE PRINT: above 272K input tokens, input and cache rates double and the output rate increases 1.5x across the full request. The $20 plan can get as few as 5 messages per 5 hours, with allowances varying by task and access surface. Claude Fable 5.1 cache reads cost $0.25 per million tokens versus Astra's $1.00 at standard short-context rates. Pick the brain per job. Verdict: the first launch aimed at your workday, not your chat window — the office model. And what didn't change: it plugs into the same build — your context, templates, files, approval gates. The model got a generation smarter. The way you run it is still the way you run it. The headlines covered the dangerous Astra. You're getting the useful one.#gpt6 #aiagent #aiskills

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Monday 07 September 2026 20:05:00 GMT