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

Nineteen models ran clipping channels paid per view by brands, and Astra returned 31x against a theoretical ceiling of $27,521.

A new benchmark measures earnings rather than puzzle solving: each agent team starts with $300 and three social accounts, clips long livestreams and posts for 30 days with pay per verified view, and GPT-6 Astra ends with $9,514 while Sol ends with $5,707.

Given $300 each to run clipping channels, GPT-6 Astra finished first with $9,514 but was still 2.9x behind the oracle.

A short video showing the finished result of calling GPT-6 Astra inside Tesseract.

Three agent teams each got $300 to run clipping channels for 30 days: Astra earned $9,514, Sol 6.1 earned $5,707, Claude Opus 5.5 earned $2,018, and a scripted bot with no AI earned $2,606.

A GitHub list that chains Astra into a pipeline for generating data, fine-tuning, and evaluating and deploying models to improve them automatically.

A developer analyzes how Pine Computer feeds agents a compressed DOM tree, spending $0.06 in 5 minutes on a task Claude Code took 18 minutes and $5 to finish, and discusses GPT-6 Astra being too expensive and slow for daily use.

After Astra beat Montezuma's Revenge, many assumed Metaculus's weak general AI question was settled, and the site explains why it has not been resolved yet.

The author used nearly a quarter of the weekly Claude Code quota the night they topped up, and says Opus 5.5 is clearly stronger than GPT-6 Astra on visual and creative tasks.

The community pushed κ from 2⁻¹⁸² to 6.830613e-4, and the author observed that Codex Astra high submits breakthroughs faster while Opus 5.5 holds the current best, with the best breakthroughs still coming from human intuition.

A meme video suggesting most people haven't figured out the right way to use GPT-6 Astra, with an image showing the supposed cheat code.

The author shares a video of a map animation tool they built with Astra, presented as an early hands-on project.