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GPT-6 Astra

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Re: GPT-6 Astra

#721

Post by swingboy »

fnordpiglet wrote: post #639
dalemhurley wrote: post #314

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.

Codex is missing a few things that Claude code has had for some time like defined plugin subagents and a few other things. But overall it’s fairly capable. The biggest gripe I have is that codex really restricts context window sizes and compaction leads to a lot of grounding work, and overall codex GPT is too literal in many situations - it’s follows direction slavishly, and when subagent reviewers are used, they ten…

You can enable the 1 million token context window and adjust when it compacts in your config.

> model_context_window = 1000000

> model_auto_compact_token_limit = 900000

I believe it does consume your usage a bit faster though.

Re: GPT-6 Astra

#722

Post by deepfriedbits »

drivebyhooting wrote: post #607

For people skeptical of AGI. Consider the following: 15 years ago if you were the sole proprietor of these models, would you be able to hold a dozen remote junior engineer jobs? Maybe even more? These models could certainly pass all interviews with flying colors and even survive independently in a company role. I think sole ownership of AI 15 years ago could be worth north of $10 million per year. Just as rank-and-fi…

Yeah, I can't believe all of the skepticism. If we're not at textbook AGI, we're awfully darn close.

The demo video showed Astra create a drawing of a rocket ship from an audio prompt, take the drawing to blender, and ended with the gentleman 3D printing the rocket ship. Maybe I'm a bit older than the average HN commenter, but that's damn near magic and a great many here are kind of just taking it for granted.

Re: GPT-6 Astra

#723

Post by SmirkingRevenge »

billypilgrim wrote: post #462
XCSme wrote: post #374

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?

„The depressing thing about tennis is that no matter how good I get, I'll never be as good as a wall.“ -Mitch Hedberg

those things are fscking relentless

Re: GPT-6 Astra

#724

Post by hyperpape »

Cu3PO42 wrote: post #58

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...

Don't think everything is just "who can produce the biggest/smallest number": https://mathstodon.xyz/@tao/117208619314517025.

Re: GPT-6 Astra

#725

Post by Fizz43 »

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…

Its AGI when it can fit years of information in the context window.

Re: GPT-6 Astra

#727

Post by ivanjermakov »

XCSme wrote: post #374

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?

Make cool stuff because the process is fun and makes you learn?

Re: GPT-6 Astra

#728

Post by spicyusername »

XCSme wrote: post #374

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?

The process was for you, the product was for the world.

Now it's just the product for the world, which was where most of the value was anyways.

It's a big paradigm shift and the industry is quickly going to shed people who needed the process to care about the product and we'll be left with people whose motivation to build the product (or money) is enough.

Re: GPT-6 Astra

#729

Post by simonw »

atemerev wrote: post #64
saaaaaam wrote: post #49

Pelicans please

Damn I hate this benchmark. SVG authoring from head without visual reference is so wrongly posed.

Hah, this is a new one: first time there's been a complaint about the pelican before I've even posted one!

(I don't have access yet.)

Re: GPT-6 Astra

#730

Post by quyleanh »

> We also tested Astra on SRE-Bench [15], a benchmark that measures whether models can reverse engineer software binaries to understand its core logic without access to raw source code. Astra solved 88.0% of tasks in a single attempt and 99.2% within four attempts, compared with 55.9% and 68.7% for GPT‑5.6 Sol, respectively.

So the closed source application should open its source in near future?

[15] https://arxiv.org/abs/2608.11469v1

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