GPT-6 Astra • Hacker News Board

Re: GPT-6 Astra

#531

Post by AaronAPU » Thu, Sep 03, 2026, 10:00 PM UTC

kolinko wrote: post #473

Chinjut wrote: post #350

What is going to become of life for those of us who do not work at AI labs and are unlikely to be hired by AI labs, despite all the years we put into learning coding, math, etc, as we were told to do? Those of us who made the mistake of studying anything other than machine learning. How will we make a living? (We don't live in a world that seems likely to distribute gains widely instead of largely to the handful of a…

Just learn how to use it to do your job better. It’s an interesting moment in history, people 35+ yrs old seem to be less afraid if tech because we learned that things change in the way we work. People below this age got used to fact that the work and tech doesn’t change - just because for the last 10-15 years it didn’t.

The problem is it’s turtles all the way down. The AI will be able to use AIs better than a good engineer can. And it will also be able to use AIs to use AIs to use AIs better than the engineer can.

The threat is that the very kernel of value you had is gone forever. There is no more differential leverage.

Re: GPT-6 Astra

#532

Post by Flere-Imsaho » Thu, Sep 03, 2026, 10:01 PM UTC

XCSme wrote: post #367

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?

I built a phone app recently, not released to the public, just an idea I had for ages but could never spend the time actually building. Its 100% vibe coded, and took me a few weekends to build... I'm talking a few hours in total.

The point I'm making is that you now have the power to create stuff you would never have had the time to build. You can think big, wild stuff. Experimentation. Throw-away code.

What a time to be alive!

Re: GPT-6 Astra

#533

Post by selectodude » Thu, Sep 03, 2026, 10:02 PM UTC

jimmaswell wrote: post #139

tosh wrote: post #10

$10 per million input tokens and $50 per million output tokens sol is $4 / $20

It seems to use less than half the tokens for the same task compared to sol, and in some benchmarks closer to 2/3 less tokens. So the actual cost may be roughly the same or cheaper overall.

neuralese is pretty token efficient i guess.

Re: GPT-6 Astra

#534

Post by dingdong2026 » Thu, Sep 03, 2026, 10:03 PM UTC

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…

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, they dug themselves deeper into a hole. The work grew in complexity beyond my ability to understand what's happening and recover.

At some point, when I felt like throwing the keyboard out the window, I just gave up. Tomorrow I'm starting from scratch, having burned god knows how many tokens and hours of my life.

But sure, they can create a decent website or CRUD app, so they must be really smart.

That's AGI for you.

Re: GPT-6 Astra

#535

Post by HSO » Thu, Sep 03, 2026, 10:03 PM UTC

people are going to be so surprised how fast the ai energy leaves the room again once the cash transfers are completed (the `ipos` whatever bla)

the coffee will be as cold, flat and stale as the bitcoin, metaverse, and what was the thing before that thing

agi deus ex machina descending from the icloud ftw!!!

pathetic :)))

Re: GPT-6 Astra

#536

Post by VirusNewbie » Thu, Sep 03, 2026, 10:03 PM UTC

kroaton wrote: post #325

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.

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.

If there was no moat, nvidia and meta would have SoTA models too.

Re: GPT-6 Astra

#537

Post by andxor » Thu, Sep 03, 2026, 10:04 PM UTC

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.

> Sol is so much better than Fable 5

I'm genuinely so confused when people say this with a straight face. Are you talking about coding? Desktop use? Prose? Or something else?

Sol is a much smaller models and it shows. It often misses the forest for the trees.

Re: GPT-6 Astra

#538

Post by hartator » Thu, Sep 03, 2026, 10:04 PM UTC

zug_zug wrote: post #420

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…

> 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…

Tell a funny joke.

Re: GPT-6 Astra

#539

Post by bsndjdjdjdj » Thu, Sep 03, 2026, 10:05 PM UTC

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.

[dead]

Re: GPT-6 Astra

#540

Post by jumploops » Thu, Sep 03, 2026, 10:07 PM UTC

I think the thing I'm most excited about is the increase in _user prompting_.

If I give a poorly constrained/ambiguous prompt, I don't want the model one-shotting assumptions left and right.

The demos of Fable/GPT-6 are impressive, but "real AGI" should act more like a collaborator than either a peon or overachiever.

It's a tough balance to get right, and although this has been possible to achieve with additional prompting on existing models, I find that the agents often lean too hard into the "ask questions" mode.

Hopefully this model has the right balance, or at least better?