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

Citing an original post, the author says GPT-6 Astra accepts 88.3% of reasonable counterarguments and is open to discussion, while Grok's built-in first-principles thinking makes it even more conversational.

A University of Toronto team had GPT-6 Astra autonomously program robots and carry out quantum-dot synthesis, with humans only setting the goal, supplying room info and approving the plan.

The author runs a draw-proof-review loop with GPT-6 Astra to add missing glyphs, using Runebender only for the final 5% of cleanup.

Alibaba's Tongyi-MAI released OpenGCUA, an Apache-2.0 computer-use agent framework with evaluation traces for eight frontier models; on OSWorld-v2 GPT-6 Astra dropped from 102 to 34 steps per task.

The author says an Indian-origin founder from Odisha built an engineering AI model better than GPT-6 Astra and every frontier model, and laments that India still loses such innovators to the West.

A developer burning 100B tokens a month ranks their main tools and models, calling GPT-6 Astra over-engineered and unusable for long-horizon task scheduling, and suggests two coding subscription stacks.

The author argues Opus 5.5 killed the '15% worse but cheaper' strategy, and that non-OpenAI/Anthropic models now need a showcaseable novel capability like Astra's 3D output.

A user complains that OpenAI keeps cutting quotas, speed and quality while shipping gimmicks, says GPT-6 Astra is too expensive for its ability and 6.1 sol gets stuck in rabbit holes, and predicts the company will fall out of the top tier.

SKY-001 plans designs directly in geometric space and claims slightly higher CAD/BIM geometric IoU than GPT-6 Astra at far lower time and cost.

A poster argues OpenAI has stronger internal models and says rumors claim a planned Astra successor or improved version was too misaligned and unsafe to ship.

Report says GPT-6 Astra averaged 87.4% on rebuilding a SQLite-compatible database in 20 languages, with COBOL rewrites rising from 10.9% to 72.1%, ahead of IBM earnings.

ByteDance's SenseNova team tests GPT-6 Astra across 12 benchmarks and 8 real robots, finding broad embodied capability but not yet practical embodied intelligence.