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GPT-6 Astra

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Re: GPT-6 Astra

#291

Post by tripleee »

pixl97 wrote: post #76
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

#292

Post by mvkel »

intenex wrote: post #274

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

#293

Post by abixb »

mullingitover wrote: post #276
abixb wrote: post #249

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

#294

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

#295

Post by jlian »

putlake wrote: post #100

> 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...

Re: GPT-6 Astra

#296

Post by baq »

Planktonne wrote: post #283

I'm sure it's going to do great on all sorts of benchmarks, but the video--the actual marketing video that if anything is incentivised to overstate things--is full of careful cuts just before it would do anything that still wouldn't actually be that impressive. It's AGI, and it's going to upload photos, or change a background slide colour. Even the people hyping it up, who believe that it's really artificial intellig…

It’s using the computer. I don’t think it’s a farce.

Re: GPT-6 Astra

#297

Post by balefulboy »

Planktonne wrote: post #283

I'm sure it's going to do great on all sorts of benchmarks, but the video--the actual marketing video that if anything is incentivised to overstate things--is full of careful cuts just before it would do anything that still wouldn't actually be that impressive. It's AGI, and it's going to upload photos, or change a background slide colour. Even the people hyping it up, who believe that it's really artificial intellig…

Don't forget the 3D demos. My favorite is in the house tour where the sink and stovetop(?) are obviously very misaligned from the counters

Re: GPT-6 Astra

#298

Post by emp17344 »

Planktonne wrote: post #283

I'm sure it's going to do great on all sorts of benchmarks, but the video--the actual marketing video that if anything is incentivised to overstate things--is full of careful cuts just before it would do anything that still wouldn't actually be that impressive. It's AGI, and it's going to upload photos, or change a background slide colour. Even the people hyping it up, who believe that it's really artificial intellig…

Can’t wait for 3 months from now when they declare they actually really do have AGI this time, please guys just believe us

Re: GPT-6 Astra

#299

Post by GodelNumbering »

The most interesting part, even more than ARC 3 score, to me is that this is the first model I recall seeing that scores lower on Max than High reasoning effort on some coding benchmarks:

Terminal-Bench 4.0: High (57.9%), Max (56.7%)

DeepSWE: High (73.3%), Max (71.5%)

It _loses_ 1-2% performance going to High from Max

Re: GPT-6 Astra

#300

Post by jhonof »

driverdan wrote: post #273
abixb wrote: post #249

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.

But they declared it...
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