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GPT-6 Astra

openai.com

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Re: GPT-6 Astra

#551

Post by dingdong2026 »

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…

Only someone who doesn't do any work of any meaningful difficulty could think these models have anything to do with AGI.

Today I spent half a day trying to solve a moderately interesting software engineering problem. I was switching between GPT-5.6 Sol and Fable 5.1 to check each other's work in Cursor.

And the result was gradually driving me insane. As the models struggled to find a solution that would actually work, they dug themselves deeper into a hole. The work grew in complexity beyond my ability to understand what's happening and recover.

At some point, when I felt like throwing the keyboard out the window, I just gave up. Tomorrow I'm starting from scratch, having burned god knows how many tokens and hours of my life.

But sure, they can create a decent website or CRUD app, so they must be really smart.

That's AGI for you.

Re: GPT-6 Astra

#552

Post by HSO »

people are going to be so surprised how fast the ai energy leaves the room again once the cash transfers are completed (the `ipos` whatever bla)

the coffee will be as cold, flat and stale as the bitcoin, metaverse, and what was the thing before that thing

agi deus ex machina descending from the icloud ftw!!!

pathetic :)))

Re: GPT-6 Astra

#553

Post by VirusNewbie »

kroaton wrote: post #327
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.

I think it mostly shows that there is no moat and the only advantage the U.S companies have over the Chinese is more compute. Qwen Max, Kimi K3, GLM 5.3 are really close to Opus/Sol/Fable/Astra and they are open weights.

If there was no moat, nvidia and meta would have SoTA models too.

Re: GPT-6 Astra

#554

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

#555

Post by hartator »

zug_zug wrote: post #427
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

#556

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

#557

Post by phatfish »

giancarlostoro wrote: post #389
hypfer wrote: post #372

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

#558

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

#559

Post by nater5000 »

Chinjut wrote: post #352

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

#560

Post by azan_ »

zug_zug wrote: post #427
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.
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