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<\/a><\/p>\nUnfortunately, Huang gave no evidence and no definitions, which feels to me like an effort at a takeover of a scientific question by corporate fiat.<\/p>\n
I would urge him to read agidefinition.AI<\/a> by Hendrycks, Yoshua Bengio & many others (including myself), and to consider how Astra is doing on the kinds of examples I laid out in my 10 -item bet with Brundage<\/a>. Autoformalization may finally be in reach, and maybe (?) reliable coding; I doubt that Astra will have hit any of the other eight.<\/p>\n By conventional definitions, Astra still falls short. <\/p>\n Declaring victory without a definition simply muddies the waters.<\/p>\n \u00a7<\/p>\n Aside from the lack of definitions, I would expect that if Astra really were AGI, it would be a quantum leap ahead of its competitors. Instead, many see it as not much more than on a par with Fable 5.1 in real-world applications:<\/p>\n Peter Wildeford\ud83c\uddfa\ud83c\uddf8\ud83d\ude80@peterwildeford<\/p>\n My current view is that GPT 6 Astra is not meaningfully better than Fable 5.1 for my personal work, but that using both side-by-side is nonetheless very helpful and additive.<\/p>\n I have been using GPT 6 Astra and Fable 5.1 a bunch over the past two days, largely for policy analysis,\u2026<\/p>\n 8:45 PM \u00b7 Sep 6, 2026 \u00b7 4.08K Views<\/p>\n 6 Replies \u00b7 4 Reposts \u00b7 86 Likes<\/p>\n <\/a><\/p>\n And one well-respected set of benchmarks suggests that Astra is a genuine improvement but not significantly off-trend.<\/p>\n When real AGI arrives, we won\u2019t need to squint our eyes.<\/p>\n And we won\u2019t need Jensen\u2019s approval, either. The results, at that point, will speak for themselves.<\/p>\n Update: One reader pointed to the ARC-AGI test as a criterion. Here\u2019s what the inventor of ARC said about this:<\/p>\n<\/a><\/p>\n<\/p>\n<\/a><\/p>\n