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GPT-6 Astra

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Re: GPT-6 Astra

#281

Post by dmitrygr »

driverdan wrote: post #268
abixb wrote: post #245

I want to take a step back: So, this is GPT-6 -- the natural number version release comparable to GPT-4 and GPT-5 from the past few years. The ARC-AGI-3 score is obviously impressive at 99.9% (we'll need to wait for more details on how they used the response API harness on GPT-6 Astra, wrt reasoning retention and compaction), but every other benchmarks seems to be a relatively modest improvement, comparable with any…

> If this is truly AGI (subject to one's definition of AGI still) Scoring well in a benchmark that's called AGI does not make an LLM AGI.

Hey now! Keep your reason out of their marketin^H^H lies!

Re: GPT-6 Astra

#282

Post by sashank_1509 »

Benchmark wise 5% improvement over Sol in coding tasks and a 2-3% improvement over Fable 5.1 seems pretty disappointing, but maybe it is actually much better in real world usage. Let’s see

Re: GPT-6 Astra

#283

Post by seemaze »

rektomatic wrote: post #162
petilon wrote: post #144

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,…

Remember when the term "AGI" meant something? Pepperidge farm remembers

Remember when The Verge was not a pay-walled visual headache?

Re: GPT-6 Astra

#284

Post by the_duke »

Huge gains on some benchmarks, but for coding it sits barely above Fable

It will be interesting to see how it performs in the real world ...

Re: GPT-6 Astra

#285

Post by bananaflag »

Cu3PO42 wrote: post #57

Just two days ago, a preprint by Julia Stadlmann went up on arXiv [0] improving the prime gap from 246 to 240. Now OpenAI announces Astra has shown a gap of 186 [1]. That must really blow. [0] https://arxiv.org/abs/2608.31126 [1] https://cdn.openai.com/pdf/51126fac-1b68-4128-9666-c908bcc16...

Where did you get the link to the pdf? Was it announced somewhere?

Re: GPT-6 Astra

#286

Post by tripleee »

pixl97 wrote: post #74
kegs_ wrote: post #45

I guess this "limited set of organizations" is just the standard now. It's just incredibly deflating to see my future as a second class citizen has already come

This has always been the case for people that have not had piles of money. I mean do you get access to the best yachts? To the top of the 5 star hotels? To the best resorts? To the best military equipment? Hell, the best computer equipment has nearly always been out of reach of the average person.

I couldn't care less about owning a yacht.

On the other hand even a modest house, basic healthcare and ability to not work like a slave for scraps feels like it's going to be out of reach.

Re: GPT-6 Astra

#287

Post by mvkel »

intenex wrote: post #269

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…

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 models can do will challenge the views of AI that people developed by using prior generations of models.

Re: GPT-6 Astra

#288

Post by abixb »

mullingitover wrote: post #271
abixb wrote: post #245

I want to take a step back: So, this is GPT-6 -- the natural number version release comparable to GPT-4 and GPT-5 from the past few years. The ARC-AGI-3 score is obviously impressive at 99.9% (we'll need to wait for more details on how they used the response API harness on GPT-6 Astra, wrt reasoning retention and compaction), but every other benchmarks seems to be a relatively modest improvement, comparable with any…

> If this is truly AGI (subject to one's definition of AGI still), then this is a very boring release of an AGI model. Hot take: These models are never going to be 'AGI'. We're just going from a GPT4 ball that's 90% round to a GPT5 that's 99% round to a GPT6 that's 99.9% etc etc etc I think that the harnesses and context management is really where the rubber meets the road, and the real gains are happening there.

>I think that the harnesses and context management is really where the rubber meets the road, and the real gains are happening there.

True. So we did hit a wall with pure scaling alone, though no lab would admit it. It's crazy to see how harness switchout results in such vast delta in benchmark scores.

Re: GPT-6 Astra

#289

Post by Robdel12 »

I don’t care about benchmarks, no way we can distill the breadth of software engineering into a number.

So, folks that have actually used this already, what’s it actually like?

Re: GPT-6 Astra

#290

Post by jlian »

putlake wrote: post #96

> GPT‑6 Astra is rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API and AWS. Not on Azure? If so, that's a big deal.

It's on Azure now, but limited

https://azure.microsoft.com/blog/gpt-6-astra-frontier-intell...

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