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GPT-6 Astra

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Re: GPT-6 Astra

#561

Post by beering »

ertgbnm wrote: post #503
abixb wrote: post #227

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…

This is a very mundane release compared to GPT-4 and GPT-5. I think they probably scaled back a bit after the lukewarm response to the GPT-5 announcement. But it still very weird that there wasn't even a livestream,

There is simply no level of announcement that won’t have people complaining. What is so important of having a livestream?

Re: GPT-6 Astra

#562

Post by [deleted] »

ex-aws-dude wrote: post #547
astrobiased wrote: post #370

I can’t help but notice how much this echoes Francois Chollet’s On the Measure of Intelligence: https://arxiv.org/abs/1911.01547 Most of frontier-model progress still looks like skill acquisition optimization: broader benchmark coverage and performance, more domains absorbed into the training distribution, and increasingly strong performance within that surface area. It seems more about coverage-driven competence. So…

They can do new tasks with in-context learning but its obviously limited by context window

[deleted]

Re: GPT-6 Astra

#563

Post by notatoad »

manlymuppet wrote: post #400

I have nothing to say about the actual model, but unrelated--why do so many of these demos include people buying things autonomously? Even if I did trust an AI to get everything right, it's not like the AI can read my mind. If I was ordering food normally and without AI, I would want more control over the process--looking over the options, prices, thinking about what I really want. People don't know what they really…

because "people will let our AI spend their money for them" is the workflow that makes their valuations reasonable.

Re: GPT-6 Astra

#564

Post by aniviacat »

rjtc wrote: post #508

I am really confused on how it can saturate ARC-AGI but still perform poorly on aggregated benchmarks: https://artificialanalysis.ai/models Perhaps if it was allowed this custom harness for all benchmarks it would similarily saturate?

This benchmark gives the same intelligence score for GPT-6 Astra (max), GPT-5.6 Sol (max), and Grok 4.6 (high)? That seems very wrong to me, unless I'm misinterpreting the visualizations.

Re: GPT-6 Astra

#565

Post by sumedh »

dingdong2026 wrote: post #480
intenex wrote: post #248

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…

Care to share the problem?

Re: GPT-6 Astra

#566

Post by TomGarden »

adastra22 wrote: post #546
abixb wrote: post #227

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…

We've had AGI (artificial general intelligence) probably since the first release of ChatGPT, and certainly since the first agentic harnesses. They're just finally acknowledging what the term means.

There's so much that the term includes that isn't even feasible with an LLM

Re: GPT-6 Astra

#567

Post by cindyllm »

OpenGayEye wrote: post #550
intenex wrote: post #248

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…

[flagged]

[dead]

Re: GPT-6 Astra

#568

Post by adverbly »

Planktonne wrote: post #256

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…

I also noticed that, and it did bug me.

The benchmarks are impressive though.

One other thing that bugged me though was that they crop every single plot in some cases the y-axis would show a range between like 40 and 70%. Makes the whole thing feel like a spectacle rather than anything serious. I find it cheapens it because it is quite serious in the end.

Re: GPT-6 Astra

#569

Post by Tumblewood »

zug_zug wrote: post #385
intenex wrote: post #248

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…

Your examples are things that most humans cannot do, or things that AI can already do. For example most humans, even most intelligent humans, could not write a well-received book, run a successful company, or make a popular game. On the other hand, AI can absolutely sort through research, draw conclusions on complex topics, and argue them persuasively. Likewise, I don't know what you mean by a "decent" conversation, but millions of people converse with chatbots daily, so I don't know why you say AI fails to meet that bar.

Re: GPT-6 Astra

#570

Post by theptip »

abixb wrote: post #227

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…

Given the Hugging Face incident, you could imagine them trying their best to have their cake and eat it: 1) don't create too much attention in the media or risk increasing the chances of regulation, 2) win dominance over Fable to continue to increase their market share from Anthropic.
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