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GPT-6 Astra

openai.com

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Re: GPT-6 Astra

#941

Post by Iolaum »

mark_l_watson wrote: post #939

Please, I have a question: in September 2026, what is the price differential between buying GPT inference tokens vs. a $20/month subscription? I have moved to just using Google Gemini occasionally paying for tokens, no subscription, and it is OK, given my low level of use. I would like to add gpt-6 astra to my toolbox, but I probably would use it infrequently.

$20 per month should get you far enough if you use luna, it's a decent model. If you plan to try astra you need to try make it use as little context as possible to protect your usage limit - or bank a reset mid task to allow it to keep going.

If you use a decent part of a subscription - of any tier - you could be saving a lot of money. According to YT that could even be ~80-90% less than paying for tokens but take that with a grain of salt.

Re: GPT-6 Astra

#945

Post by MichaelMoser123 »

"""OpenAI called the model a "generational leap" for areas such as cybersecurity, professional work, software engineering, and science, with the company's president Greg Brockman saying that it could eventually be seen as the arrival of artificial general intelligence"""

https://en.wikipedia.org/wiki/GPT-6_Astra

according to Sam Altman from last year, an LLM should 'solve quantum gravity', if it is to count as AGI. Did anything change since then?

https://www.businessinsider.com/sam-altman-openai-david-deut...

Re: GPT-6 Astra

#946

Post by wrsh07 »

dannyw wrote: post #678
jumploops wrote: post #479

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 pro…

Anecdotal experiences from my external early testing of Astra: if you love Sol (like I do) and wished it was smarter at everything, but especially better at high-level tasks and discussions; I think you'll LOVE Astra. Astra retains the best parts and overall 'grounded collaborator and executor' of Sol in my testing (harness: codex CLI); while being a significant leap in capabilities & higher-level thinking. When you…

Off topic, but ooc what do you do such that you get early access to the models?

Re: GPT-6 Astra

#948

Post by EFLKumo »

It's said Astra is based on a newly pretrained model. Personally I hope it solves the problem that GPT speaks weirdly (which can also be spotted on Claude models after Opus 4.8 but GPT's is more severe) because IMO the way GPT couldn't get how to write good code (obviously it's trined to write code which pass benchmarks, but never code which sound good, with pursuit towards simplification and code aesthetic in mind) is extremely similar with how it couldn't get how to speak like a human.

However, it seems like OpenAI didn't pay much attention on these perspectives and I didn't find if Astra could write a more elegant code, or communicate more naturally, etc., which made me somehow a little disappointed.

They indeed mentioned the code Astra delivered is closer to production grade but production-grade code is different from what I want since there can be a kind of messy code blowing up your whole architecture design with control flows nobody truly understands but just passes all tests perfectly. There is no difficulty in maintaining this kind of code because you only need to paste the problems into Codex. And we all know this sounds incorrect. I don't know if my appetite towards a good code (no matter how) is sound but I just imagined frontier labs to give more attention on this.

Note: fwiw Fable 5.1's release page says it's better at these perspectives of coding and per my experience, yes it is.

Re: GPT-6 Astra

#950

Post by cheikhcheikh »

MichaelMoser123 wrote: post #945

"""OpenAI called the model a "generational leap" for areas such as cybersecurity, professional work, software engineering, and science, with the company's president Greg Brockman saying that it could eventually be seen as the arrival of artificial general intelligence""" https://en.wikipedia.org/wiki/GPT-6_Astra according to Sam Altman from last year, an LLM should 'solve quantum gravity', if it is to count as AGI. D…

I think that would be more of ASI than AGI, AGI is a smart human, I'd say we're pretty close if not already there for most stuff we've been focusing on like coding. ASI is a super genius, beyond the smartest human, and we're nowhere near that. But as we've already seen with LLMs you don't need to wait for ASI to solve hard problems in math and physics.
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