GPT-6 Astra in Practice: Tests, Use Cases, and Feedback

The author shows code generated by Astra in a video and argues the problem is not ugliness but training that rewards only passing tests, compresses reasoning, and lacks self-review and engineering taste.

A model roadmap rumor claims OpenAI will release GPT-6 Bel to compete with Fable 5.5, Opus 5.5 and Sonnet 5.5 for the top spot, and that Codex needs an "Astra moment."

A post says Altman spends 22 minutes explaining how OpenAI engineers structure agent workflows with Astra and where GPT Dots fits, with a GPT Dots guide attached.

The author mocks the cycle of calling GPT-6 Astra AGI, then not AGI after Opus 5.5 beats it, and concludes we are far from AGI.

Comparing output fingerprints of the two models, the user argues sol overlaps heavily with Astra and may be the same model throttled and downgraded.

After extensive testing of GPT-6 Astra and Opus 5.5, the poster leans toward Anthropic being closer to AGI, though OpenAI's computer use remains stronger.

The author links the back-to-back Opus, Sonnet and Fable 5.5 releases with OpenAI's delay of GPT-6.1 Astra, guessing both firms are saving something for IPO timing.

The blogger tracks NerfBench scores: Opus 5.5 fell from above its launch score to 94.2%, while GPT-6 Astra sits at 98.0%, and says it is too early to call it a nerf.

A list of eight repositories, including LangGraph, PydanticAI, OpenHands and Browser Use, that together form an agent pipeline able to plan, code, execute, verify and deploy.

The author says ChatGPT Astra Ultra, Claude Opus 5.5 and Grok 4.6 all failed the task, while ChatGPT dots completed it in one go; the clip is for personal use only.

Running Astra at 1.5x speed, the author turned the earlier Clearwater water demo into a planet/sphere version, with a live demo and GitHub repo.

The poster recalls Tibo saying Astra moved products forward by six months, but after Sam's "new thing" tease the night before DevDay, the actual releases showed no such leap.