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GPT-6 Astra

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Re: GPT-6 Astra

#321

Post by jryan49 »

Planktonne wrote: post #278

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…

We created AGI so I don't have to click my mouse to change the background color of my slides.

Re: GPT-6 Astra

#322

Post by kroaton »

dalemhurley wrote: post #309

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.

Re: GPT-6 Astra

#323

Post by udbhavs »

redox99 wrote: post #317
udbhavs wrote: post #238

I remember when GPT-4 came out and the perceived performance upgrade seemed underwhelming for a major release compared to 3.5, especially how there were graphics going around showing the parameter size dwarfing the last model before it came out. It looked like we were past the perceivable differences from release to release that were immediately identifiable. Now the jump between 5 to 5.5 and 5.6 alone has changed ho…

The jump from 3.5 to 4 felt gigantic to me back then. GPT 5.0 did feel underwhelming though.

Oops, I might have been misremembering then. Maybe I meant 4 to 5

Re: GPT-6 Astra

#324

Post by kzrdude »

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...

Ok, so the rumour was exactly true: there was a withheld prime gaps improvement, that "an AI company" was holding onto until release of a model.

Re: GPT-6 Astra

#325

Post by dominotw »

jdprgm wrote: post #314

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…

maybe thats why opnrouter sold big

Re: GPT-6 Astra

#326

Post by rcr-anti »

The benchmarks reported by Artificial Analysis are really weird in context of the ARC-AGI 3 scores and 'not not AGI' statements. It's an outright regression on the AA Agent composite vs GPT 5.6 Sol while a fraction of a point better on the full composite index. Could be the case it's just not showing up in benchmarks, for a good while Anthropic persistently trailed in benchmarks but had people swearing by it.

Re: GPT-6 Astra

#327

Post by simianwords »

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…

> where I am reasonably confident that there's essentially nothing that I am better than Fable

No. Humans are still better at super long context learning. Once that is beat you are completely correct.

Re: GPT-6 Astra

#328

Post by uludag »

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…

Wouldn't "general intelligence" require so much more than scoring well (or even amazingly) on benchmarks?

Like what about having some "AGI model" embodied in something (maybe humanoid), and test it by having it step in an assortment of cars and park them. Does bodily-kinesthetic intelligence account for nothing? Humans are intelligent creatures and can dynamically adapt to the physical shape of a variety of vehicles and their movement characteristics. And there's so many things like this that are extremely basic, which some people dismiss since practically every human has the capability to do it, but actually requires a high degree of intelligence.

Re: GPT-6 Astra

#330

Post by sbinnee »

I dropped my claude subscription a few months ago, though I kept some credits to do this and that with claude, thinking that claude might do better for some tasks. A few days ago they were all expired. It feels like it’s time to let claude go.
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