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GPT-6 Astra launched overnight with one of the wildest benchmark tables I've seen. Its 99.9% ARC-AGI-3 score has people claiming AGI is here. The test measures whether an agent can explore an unfamiliar world, learn its rules and act efficiently. Astra's biggest practical jump is computer use.

ARC Prize's standard harness gave Astra 62.7%. OpenAI's Provider Adapter produced the 99.9% result by preserving reasoning state and compacting long conversations. The video also covers a week-long Manhattan build in Unreal Engine, Apple Park in Blender and an interactive Library of Alexandria.

I also cover the messy rollout, who gets access first and the banked Codex resets OpenAI is giving paid ChatGPT users while they wait. If Astra is in your account, give it a large computer-use or coding job. An email rewrite will tell you almost nothing about this model.

Chapters:

0:00 GPT-6 Astra launches

0:43 What OpenAI actually changed

1:32 Is Astra AGI?

2:25 The 99.9% ARC-AGI-3 result

3:14 What ARC-AGI-3 actually tests

9:19 Why the AGI label remains unsettled

9:39 Independent benchmark checks

11:08 Astra's practical computer-use jump

11:38 Manhattan, Apple Park and Alexandria

15:27 Who gets access and when

16:47 My verdict on GPT-6 Astra

17:59 Final summary

Useful resources:

OpenAI's GPT-6 Astra launch page: https://openai.com/index/gpt-6-astra/

OpenAI API model page: https://developers.openai.com/api/docs/models/gpt-6-astra

OpenAI system card: https://deploymentsafety.openai.com/gpt-6-astra

ARC Prize results and harness comparison: https://arcprize.org/results/openai-gpt-6-astra

Sam Altman on the rollout: https://x.com/sama/status/2095678759651438887

Artificial Analysis on coding efficiency: https://x.com/ArtificialAnlys/status/2095595494081024077

Ethan Mollick's interactive Alexandria example: https://x.com/emollick/status/2095601539066777748

Matt Shumer's Manhattan in Unreal Engine: https://x.com/mattshumer_/status/2095609734845927525

Find everything else at https://aiwithkyle.com/