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GPT-6 Astra

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Re: GPT-6 Astra

#381

Post by jeffybefffy519 »

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.

Its funny, my experience with Sol has been awful. It really overworks problems and tracks into areas it does not need to...

I just dont get how its good for some, and bad for others. It makes me suspect that the models performance is not even against problem sets and it really is just a probabilistic prediction machine. Which then makes me very skeptical of GPT-6 Astra, because if their big claim is Computer Use then it is probably bad in a bunch of other areas.

Re: GPT-6 Astra

#383

Post by serjester »

Exciting but it’s priced at 2.5X Sol - we haven’t seen pricing this high since GPT 4.5. We will see if the real world use cases outweigh the sticker shock.

Re: GPT-6 Astra

#384

Post by CSMastermind »

HAL3000 wrote: post #148

Finally, OpenAI has a Fable/Mythos class model. 5.6 Sol felt like 5.5 on steroids, probably just a different checkpoint with a lot more RL post training. I wouldn't be surprised if there are some conceptual similarities to the kind of latent reasoning Anthropic sees in claude's J-space, although those aren't the same thing. Recurrent/looped transformers themselves aren't a new concept, but it's interesting to finally…

Sol easily outperforms Fable on every task I've tried it on.

Re: GPT-6 Astra

#385

Post by kypro »

petilon wrote: post #146

This is wild: OpenAI is basically declaring that AGI is here. https://www.theverge.com/ai-artificial-intelligence/989601/o... “If we fast-forward a couple of years, and we look back and say, ‘When was it, really, that AGI was created?’ I think it’s going to be about this time, and I think it might be about this model,” OpenAI president Greg Brockman said during a Thursday press briefing. Later in the call, he added,…

I think it's more wild people have been denying that AGI has been here for a while honestly...

Today's models and agents are not quite at human-level in all contexts and across all domains, but it seems to me they very clearly are generally intelligent.

If you disagree – can you name a single problem that a human can do that agent wouldn't be able to take a decent shot at which isn't limited by the hardware available it?

Re: GPT-6 Astra

#386

Post by giancarlostoro »

hypfer wrote: post #370
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…

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.

Re: GPT-6 Astra

#387

Post by John7878781 »

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.

This is what Google needs to do and is probably why Demis has stepped back a bit

Re: GPT-6 Astra

#388

Post by gavinray »

XCSme wrote: post #368

It's fun, but every new model release makes me even less interested to create cool stuff. Like, what's the point, if the next AI can do it in 5 seconds?

  > Like, what's the point, if the next AI can do it in 5 seconds?
Live a life doing whatever makes you happy.

Post-work society is an inevitability if we don't destroy our planet.

Re: GPT-6 Astra

#389

Post by lenerdenator »

giancarlostoro wrote: post #343
mvkel wrote: post #290

Earlier quoted context omitted.

Take it from the mouth of the creator of ARC-AGI: When we released ARC 3, I got asked, "when do you think a frontier model will saturate it?", and I answered "in about a year, though it depends on how much it gets explicitly targeted" That was 6 months ago, so the progress that Astra represents happened about 2x faster than I anticipated. I think the speed of progress will surprise a lot of people, and what the new m…

I feel like AGI's definition got watered down, and these tests do not cover the original definition, what is your definition and thoughts on aligning with what all of us understood from the original claim? I feel like this test is just helping someone like Sam Altman pretend like he implemented AGI as originally pitched for an IPO when in fact, he has not. Shameful. > AGI is essentially the equivalent of a median hum…

I wonder if Altman's definition also includes taking on the same liability as a coworker would.

Probably not.

Re: GPT-6 Astra

#390

Post by tonyedgecombe »

jdprgm wrote: post #317

Is anyone else just exhausted by the pace of all this. The models change constantly and relentlessly and so does the pricing, basically weekly at this point between all the labs. It feels nearly impossible to have any rigorous approach when choosing a particular model and price point for a task and more like blindly picking one. The time period needed to actually get familiar with various models to a degree you can i…

Fire and motion, Joel Spolsky blogged about this:

https://www.joelonsoftware.com/2002/01/06/fire-and-motion/

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