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GPT-6 Astra

openai.com

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Re: GPT-6 Astra

#551

Post by andxor »

dalemhurley wrote: post #312

OpenAI is killing it now that they are more focused. Killing projects like Sora et al have seen it go from irrelevant to level footing with Anthropic. Sol is so much better than Fable 5. Then we get Astra (yet to use it) few days after Fable 5.1 (which is very impressive). Codex is slightly better than Claude Code. Good on Sam Altman getting back to basics and turning OpenAI around.

> Sol is so much better than Fable 5

I'm genuinely so confused when people say this with a straight face. Are you talking about coding? Desktop use? Prose? Or something else?

Sol is a much smaller models and it shows. It often misses the forest for the trees.

Re: GPT-6 Astra

#552

Post by hartator »

zug_zug wrote: post #425
intenex wrote: post #272

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…

Tell a funny joke.

Re: GPT-6 Astra

#553

Post by bsndjdjdjdj »

dalemhurley wrote: post #312

OpenAI is killing it now that they are more focused. Killing projects like Sora et al have seen it go from irrelevant to level footing with Anthropic. Sol is so much better than Fable 5. Then we get Astra (yet to use it) few days after Fable 5.1 (which is very impressive). Codex is slightly better than Claude Code. Good on Sam Altman getting back to basics and turning OpenAI around.

[dead]

Re: GPT-6 Astra

#554

Post by phatfish »

giancarlostoro wrote: post #387
hypfer wrote: post #370

Earlier quoted context omitted.

What does "AGI" or "effective AGI" even mean, and why should anyone even care whether this unclear thing has been "reached" or not? Computer chips got faster, but 2026 edition. Why the artificial ceiling/category/goal labelled "AGI"? I'd much rather like to talk about what this enables, instead of discussing whether a category someone made up applies here or not.

According to Sam Altman: > AGI is essentially the equivalent of a median human that could be hired as a remote co-worker... capable of performing any task that one would be satisfied with a remote colleague doing via a computer. So... unless you hear of a company replacing their workforce with OpenAI agents, I don't think we're there yet.

I thought it was Cmdr Data from Star Trek, but Sam's version is the certainly the one the c-suite think they want.

Re: GPT-6 Astra

#555

Post by jumploops »

I think the thing I'm most excited about is the increase in _user prompting_.

If I give a poorly constrained/ambiguous prompt, I don't want the model one-shotting assumptions left and right.

The demos of Fable/GPT-6 are impressive, but "real AGI" should act more like a collaborator than either a peon or overachiever.

It's a tough balance to get right, and although this has been possible to achieve with additional prompting on existing models, I find that the agents often lean too hard into the "ask questions" mode.

Hopefully this model has the right balance, or at least better?

Re: GPT-6 Astra

#556

Post by nater5000 »

Chinjut wrote: post #351

What is going to become of life for those of us who do not work at AI labs and are unlikely to be hired by AI labs, despite all the years we put into learning coding, math, etc, as we were told to do? Those of us who made the mistake of studying anything other than machine learning. How will we make a living? (We don't live in a world that seems likely to distribute gains widely instead of largely to the handful of a…

>as we were told to do?

This is such a childish take I hear getting thrown around all the time on the internet. If you really have just been listening to whoever is telling you how to be successful, then you were always doomed to fail at some point. Like, have some self-respect and own your own life, for better or worse.

>Those of us who made the mistake of studying anything other than machine learning. How will we make a living?

Take it from someone who studied machine learning specifically: nobody is safe if you assume these companies are going to produce a product that will put everybody else out of business. If AI is going to take your job, then it's gonna take enough jobs that your problems will not be personal but systematic.

Re: GPT-6 Astra

#557

Post by azan_ »

zug_zug wrote: post #425
intenex wrote: post #272

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…

That’s ASI, not AGI.

Re: GPT-6 Astra

#558

Post by fidotron »

uludag wrote: post #332
intenex wrote: post #272

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…

Wouldn't "general intelligence" require so much more than scoring well (or even amazingly) on benchmarks? Like what about having some "AGI model" embodied in something (maybe humanoid), and test it by having it step in an assortment of cars and park them. Does bodily-kinesthetic intelligence account for nothing? Humans are intelligent creatures and can dynamically adapt to the physical shape of a variety of vehicles…

This is a much underappreciated point.

That said, a look at the state of self driving and the recent robot olympics shows that advancement on that has accelerated enormously, though whether it's reflected in any of the LLMs is something else entirely.

Re: GPT-6 Astra

#559

Post by alberth »

Seems like voice is a big part of this release.

I don't think it's a coincidence they launched this the week before iOS 27 launches (with new Siri).

Re: GPT-6 Astra

#560

Post by azan_ »

hartator wrote: post #552
zug_zug wrote: post #425

Earlier quoted context omitted.

> 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…

Tell a funny joke.

The bottomless pit supervisor was quite funny.
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