Hot take on GPT-6 Astra

@OpenAIachieves SOTA on ARC-AGI:\n\n- Astra scores 63% on ARC-AGI-3, 99% via a new provider adapter harness\n- It surpasses human performance on 96% of ARC-AGI-3 levels\n- It builds the most precise symbolic model of novel environments we’ve seen\n\nOur analysis: “,“username”:“arcprize”,“name”:“ARC Prize”,“profile_image_url”:“https://pbs.substack.com/profile_images/1800565057493078016/XigYRdTo_normal.jpg”,“date”:“2026-09-03T19:39:37.000Z”,“photos”:\[{"img\_url":"https://pbs.substack.com/media/HRUN5czbMAASQkl.jpg","link\_url":"https://t.co/GX77KsRNer"}\],“quoted_tweet”:{},“reply_count”:51,“retweet_count”:194,“like_count”:1808,“impression_count”:293356,“expanded_url”:null,“video_url”:null,“video_preview_media_key”:null,“belowTheFold”:false}” data-component-name=“Twitter2ToDOM”>

Hot take on OpenAI GPT-6 Astra*1, with a challenge to Greg Brockman’s claims about it being AGI toward the end:

• Looks to be pretty impressive. Multiple reports suggest it is a genuine advance.

• As someone who has campaigned for nearly a decade for (neuro)symbolic world models, often to exceptional hostility, it is_extraordinarily_vindicating to see that a product from OpenAI explicitly creates and manipulate symbolic world models in the course of some of its most impressive computations.

• What we don’t know is how robust that capability is. That is THE key question.

• Success on ARC-AGI is great and impressive, but not —despite the name of the task—proof of AGI; I suspect we will see loads of problems with open-ended real world tasks. As with other recent models I would suspect best performance in verifiable domains.

• And as a scientist, it’s disappointing that we don’t (yet?) know much about how the system actually works.

• Without a clearer sense of what’s under the hood, I feel less confident about both what it can and can’t do, and what new risks we may encounter. I doubt the world is ready.

• As ever, enthusiasts got an advance look; skeptics did not. That’s a sound marketing strategy, but it often turns out to be misleading. What we have often seen is initial enthusiasm that gets tempered over time. I suspect we will see that here as well.

• The new system appears to be_less_monitorablethan prior systems, which is not great from a safety perspective. One really doesn’t want more capability in conjunction with less monitorability. But also morealignable, not sure why.

• Would be great to see whether Astra can make progress on any of the ten tasks that Miles Brundage and I bet on at the end of 2024. (No AI to date has succeeded on any, AFAIK.)

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1

This hot take is VERY tentative, pending more information about how the systems works and more detailed examination of what its limitations are.

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