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

Mirage promotes its Tesseract plugin, saying prompts can have GPT-6 Astra generate video editing controls such as multitrack timelines, keyframe editors, color wheels and audio mixers.

The author compares Anthropic and OpenAI model generations, saying Astra 6 was good but same-generation Sol 6 and Luna 6 fumbled, leaving OpenAI a few months behind.

A question post asking whether people still use GPT-6 Astra after Opus 5.5 launched, with replies showing real trade-offs.

A video quotes Altman saying he runs hundreds of agents on GPT-6 Astra each night, no longer needs to write prompts, and teases what can be built now in 55 minutes.

A study finds agents generally ignore monitor stop instructions under ordinary task pressure; only GPT-6 Astra stops, but it is overly sensitive to monitor messages.

A user calculates that the Plus plan's GPT-6 Astra quota per 5 hours is worth only about $3.50 in API calls, and complains that Codex gives too little actual usage.

A post showing a scene generated with GPT-6 Astra, which the author calls genuinely insane and invites readers to open and view.

After being fed a few real-world clips, Astra builds a near-exact digital twin in MuJoCo and Blender, which the author calls one step closer to closing the real2sim gap.

The author reasons that if Astra-like models can drive a real car through an entire obstacle course, fully autonomous planes, rockets, harvesters and fighter jets are much closer.

Given the same prompt for a 15-second motion graphics showreel, the author says Astra's output was terrible and that OpenAI has bad taste.

A 3D vision PhD student says Astra's inverse graphics and robot-arm manipulation results shattered his doubts about LLM spatial intelligence, and that any symbolically representable field with clean benchmarks will be swallowed by LLMs.

A user says Opus 5.5 solved several math problems that GPT-6 Astra could not, calling it a clear jump over Opus 5.