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GPT-6 Astra

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Re: GPT-6 Astra

#471

Post by unreal37 »

Pikamander2 wrote: post #339
jdprgm wrote: post #317

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…

That's how cutting edge tech has always worked. Imagine buying a shiny new PC in the 90s only to see it become practically obsolete within a year.

The 486 chip came out in 1989. The 586 came out in 1993.

The pace of change ("practically obsolete") is different then and now.

Re: GPT-6 Astra

#472

Post by drittich »

dom96 wrote: post #464
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…

AGI to me is reached once the intelligence is self motivated, i.e. it doesn't rely on us prompting it into action. I don't see how LLMs will ever get to that stage.

Often the smartest thing is to do nothing.

Re: GPT-6 Astra

#473

Post by andriy_koval »

Yajirobe wrote: post #359
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…

AGI-level model is perpetually 18 months away. Your job will be fine.

> AGI-level model is perpetually 18 months away. Your job will be fine.

job depends on how CEO feeling about cutting NN% of headcount because of AI advancement

Re: GPT-6 Astra

#474

Post by pavitheran »

zug_zug wrote: post #421
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…

By this definition, even most humans would not qualify as having AGI though.

Re: GPT-6 Astra

#475

Post by kolinko »

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.

Re: GPT-6 Astra

#476

Post by tonyhart7 »

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.

they don't have moat in hardware either

Chinese counterpart like CXMT and Huawei is begin producing their own chip

You cant block an entire nation level effort with tariff

Re: GPT-6 Astra

#477

Post by danenania »

Aurornis wrote: post #434
jdprgm wrote: post #317

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…

I could see how this might feel frustrating to someone who doesn't enjoy experimenting with new things all the time. In practice, you can get away without keeping up with everything all the time. For personal use, pick a provider and get on their ~$20/month plan. Learn their high/medium/low model hierarchy. Start with their highest or second-highest model (GPT-5.6, Opus, etc) and observe your quota usage. If you're d…

Another suggestion to get the most bang for your buck: use the best model you have access to with max reasoning for planning, implement with a smaller model/lower reasoning, then review with the big model. Repeat as needed.

Input tokens are much cheaper than output tokens. Not only because of baseline price—caching makes a huge difference too. There are many ways to take advantage of this asymmetry to get similar quality for a fraction of the cost!

Re: GPT-6 Astra

#478

Post by IanCal »

glenstein wrote: post #264
petilon wrote: post #146

This is wild: OpenAI is basically declaring that AGI is here. https://www.theverge.com/ai-artificial-intelligence/989601/o... “If we fast-forward a couple of years, and we look back and say, ‘When was it, really, that AGI was created?’ I think it’s going to be about this time, and I think it might be about this model,” OpenAI president Greg Brockman said during a Thursday press briefing. Later in the call, he added,…

I almost feel like I need just as much healthy skepticism toward hn comments that have the automatic reflex of dismissing performance gains, as much as I need a similar form of skepticism toward AI claims. It feels like (from what I'm understanding) the harnessed result on ARC-AGI-3 is not exactly playing by the normal rules that would tell us how much of a leap this really is. Nothing wrong with harnesses, but if th…

If I’m understanding other comments the harness is just how ChatGPT and codex work already and it’s to do with how the context gets compacted - the arc-agi harness some are claiming just throws out reasoning blocks? Which feels like a huge handicap.

Re: GPT-6 Astra

#479

Post by useruser125524 »

wilg wrote: post #361
Planktonne wrote: post #281

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…

are we really having to explain to you from first principles in 2026 what things AI can do?

Please do.

Re: GPT-6 Astra

#480

Post by vanuatu »

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…

large parts of ai research likely to be automated first

most swes don't work in jobs where they only work on bounded measurable tasks. there will probably be more "engineers" than ever

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