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GPT-6 Astra

openai.com

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Re: GPT-6 Astra

#931

Post by mannanj »

aennassiri wrote: post #925

I firmly believed OpenAI would take back the lead. It's healthy to have competition with Anthropic and, hopefully, other LLM providers. I'm excited to test their model. Their attitude towards developers/builders has been nice and appreciated for the last couple of months.

I find that when someone comes from an attitude of abuse and hostility towards it users, then later without taking responsibility and owning its original actions says “we changed were being nice now” that it isn’t really a change but a farce to continue to trick you. I used to be more gullible and naive and fall for these tricks, but not anymore.

You change when you take ownership of your past mistakes and share with those you harmed how you have done that. With some reparation and restoration of past harms. I haven’t seen openAI do that.

Re: GPT-6 Astra

#932

Post by mark_l_watson »

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.

Re: GPT-6 Astra

#933

Post by fxd »

embedding-shape wrote: post #868
tappio wrote: post #859

I feel that for some time now, the biggest constraint when working with models is not their intelligence, but their speed. It does not matter how smart the model is, it will make mistakes, because the instructions are ambiguous and new facts are found during implementation. The biggest problem I've had working with software developers has always been the lag between seeing the results and steering towards the right d…

> It does not matter how smart the model is, it will make mistakes It does matter, otherwise why are we all using GPT 5.6 rather than GPT 3.5? Because it's way smarter, makes less mistakes and therefore finishes tasks faster. The smarter the model is, the faster it can complete what you actually wanted. > Regardless, working on the wrong things is time wasted Agreed. And "smart" for me, would mean understanding what…

[flagged]

Re: GPT-6 Astra

#934

Post by Iolaum »

mark_l_watson wrote: post #932

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

#938

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

#939

Post by wrsh07 »

dannyw wrote: post #671
jumploops wrote: post #472

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?
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