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

A Spanish-language post recommends a free two-hour course on building and automating anything with Codex and Astra, saying it teaches more than $500 courses.

The poster argues AGI is only months away and that companies will pay a tenth of current salaries for AI work, so digital jobs will disappear first.

OpenAI's developer account reposted that the GPT-6 Astra Challenge is live on Product Hunt, with over 800 products competing for the leaderboard and official prizes.

A news-style post reports that OpenAI has launched a legal-focused version of GPT-6 Astra offering AI-powered legal research, document analysis and drafting tools for law firms.

The video argues that a 1M-token context window alone does not make an agent reliable; what matters is separating planning, tool use, verification, memory, and output into distinct layers.

RSI-Exam adds Fable 5.1, Muse Spark, and Seed-Evolving-0909; GPT-6-astra holds first place at 0.5126, Fable 5.1 debuts at second, and no model has yet reached the reference line.

The post quotes Altman saying Astra does in a day what a team used to spend a month on, and recommends a 34-minute talk on advanced ChatGPT use.

Comparing the same prompt side by side, the poster says Gemini 4 Pro's detail and texture now surpass GPT-6 Astra and questions whether Astra's top spot is slipping.

The author says they tried GPT-6 Astra Ultra and it used up their entire usage limit.

The author calls Astra the strongest model for frontend design but says most people don't know how to use it and produce slop, so they wrote a long thread on how to build good-looking websites and apps with it.

A Turkish post jokes that people are asking why the GPT-6 Astra hype suddenly faded, and the answer is that usage limits run out in two days, leaving five days with nothing to hype.

Unconfirmed Gemini 4 Pro specs and benchmarks have surfaced, including a 2M token context and 95.3% on Terminal-Bench, with claims it beats GPT-6 Astra on several tests.