The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…
> I'd be curious to hear takes on what would make you think Astra is yet to be AGI, and what would still need to be achieved for this to effectively be AGI from this point forward. To me AGI is all about the "G" general (we already had the AI part). General meaning universal, everything. It's not a function of knowledge or specific hardcoded tests, it's that you could give it a test it's never heard of before and nev…
What AGI has always meant (eg. in 2019) is Artifical General Intelligence.
Artificial -- something made by humans instead of occurring naturally
General -- not confined by specialization or careful limitation
Intelligence -- the capacity to learn, reason, solve problems, think abstractly, and adapt to new situations
Basically, the metric was that any healthy adult human on the planet represents a general intelligence. This has certainly long been reached.
Also some of the stuff you're listing has long been solved as well, such as listing what it knows and what it doesn't know, and what information it would need. Other is just poorly defined: "be able to argue persuasively". AI can certainly write an argument on almost any topic that would pass any University homework in 2019.