This first ran on deanlee.info. Greg Brockman called Astra AGI on launch day. The U.S. look-over was a voluntary 30-day window with no license attached.
On September 3, OpenAI released GPT-6 Astra and Greg Brockman told reporters that artificial general intelligence had arrived. The Washington Post carried the line. "I do leave it up to the reader to decide for themselves if this qualifies for them," he said. "I think we're there." The Guardian recorded a longer version. If we look back in a couple of years and ask when AGI was created, Brockman said, "I think it's going to be about this time, and I think it might be about this model." He added that it is "not unreasonable to feel that we are now in the AGI era."
Days earlier, Sam Altman had called AGI "a very poorly defined term" and, at best, "an irrelevant marketing term." Both statements can be true in the same week. Altman was talking about the word. Brockman was talking about a launch.
I take the capability case seriously. OpenAI's own post is not a slogan sheet. Astra saturates FrontierMath Tier 4 at 98 percent and ARC-AGI-3 at 99.9 percent. Greg Kamradt of the ARC Prize Foundation said it beat the human action-efficiency baseline on 96 percent of ARC-AGI-3 levels. On Agents' Last Exam, which runs professional work inside real software, Astra scored 59.3 percent against 55.5 percent for Claude Opus 5 and 53.6 percent for GPT-5.6 Sol, while using about 65 percent fewer output tokens than Opus 5 at those settings. OSWorld 2.0 latency simulations put Astra at 72.6 percent in about 40 minutes per task, against Sol's 65.7 percent in about 75 minutes. The launch post times a pediatrician job search at 2 minutes 54 seconds. The Guardian put the human version of that search at five hours. Harvey, Jane Street, Cognition, and Lovable all went on the record with quality claims. This is a model that can sit in a spreadsheet, a CAD tool, a browser, and a terminal without a babysitter on every click.
