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

The poster argues that releasing Astra 6.1 is not enough and that OpenAI needs an Opus-level model, but says Sol 6 has flopped.

The author used a self-built Rust tool to let two models talk across sessions, and Opus 5.5 ended the conversation after the first turn.

The author's GPT-6 Astra agent system saw task counts surge within a week while demanding more attention, and only settled after adding a rule that every new task must point to an external outcome.

The author compares Opus 5.5, Fable 5.1 and GPT-6 Astra, and estimates that both companies' internal models are roughly two months ahead of their public versions.

A developer tested Opus 5.5 and GPT-6 Astra with the same prompt for a failure/Game Over screen animation and compared the results.

A repost describing someone asking the Astra and Fable models to negotiate election rules for two bitterly opposed political factions and see whether they can reach an outcome.

A user notices that GPT-6 Astra in Codex has started addressing them with the formal "您" instead of the familiar "你", and remarks on the sudden distance.

A three-part transformation test (carpet to cobra, cobra to swan, swan to dolphin) checks whether the two models can hold physical consistency within 20 seconds.

Polymarket says GPT-6 Astra drove a real Toyota Corolla through a full obstacle course, making it the only AI tested by DrivingBench to finish.

The author says he built the prototype of Idle Dungeon: Endless Expedition with Astra in two days and expects a Steam demo within a few days, with Steam's review speed the main delay.

The video argues the key with Astra is not prompts but splitting and orchestrating agents, spending 21 minutes on what OpenAI engineers do, though it reads as course-selling talk.

The post says the one-hour content explains how OpenAI engineers build and split work between agents, calls it better than any paid agent course, and links an Astra guide.