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GPT-6 Astra

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Re: GPT-6 Astra

#461

Post by kypro »

gavinray wrote: post #399
Chinjut wrote: post #354

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…

> How will we make a living? Swap to a career path that requires physical automation, since we're still about 10-20 years out on that front. My backup plan is being a personal trainer.

> My backup plan is being a personal trainer.

AIs are really good at being personal trainers and seem to be far more educated and informed than most I know.

Re: GPT-6 Astra

#462

Post by namarie »

zug_zug wrote: post #429
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…

> 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…

Most of the list reads more like ASI than AGI.

Re: GPT-6 Astra

#463

Post by Buttons840 »

Planktonne wrote: post #283

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…

The tone of the marketing video is a bit irritating to me as someone who has been laid off and feels cheated and fearful of AI.

It shows people who seem to have very full and rich lives, and the reason they do is because they use ChatGPT. These are the people smart enough to say things like "do what needs to be done", or "change the background to make it look better"--insights like these are why they make the big bucks.

On the one hand, I think this is an accurate depiction of the future. There is no meritocracy here. Some people have access to the best AIs and can speak a sentence and get great results, and the rest of us don't have access and so we're the poors. The happy presentation doesn't match the way I'm feeling.

I do wonder how rich CEOs will justify earning 500x as much as their employees when they're just another person that's dumber than an AI. Why are they paid so much again?

Re: GPT-6 Astra

#465

Post by zachthewf »

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.

I’ve found Sol performance to be incredibly spiky. It has tremendous IQ and can fix very difficult bugs. But it is horrible at design (both visual and system design), anything that involves thinking about users or UX, and massively overcomplicates almost all work.

Re: GPT-6 Astra

#466

Post by cnxhk »

zug_zug wrote: post #429
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…

> 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…

This is more like ASI instead of AGI

Re: GPT-6 Astra

#467

Post by maherbeg »

Centigonal wrote: post #449
maherbeg wrote: post #347

Ok, but can I bring GPT-6 in as an agent as a software engineer, tell it to talk to these people and have it start solving engineering problems and continue on for a full year career wise? maybe call it EngEmployeeBench

The moment this is possible, you will lose your job.

I imagine the first year we'll be at the Junior eng level, and then after a while make our way up to Staff Engineer. Then we'll have a bunch of staff engineers arguing and protecting their domains and then we'll need a new benchmark.

Re: GPT-6 Astra

#469

Post by shostack »

brokencode wrote: post #419
jdprgm wrote: post #320

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…

You really don’t need to watch it that closely. If the model you’re using today is working well, just stick with it. If one day you open up Claude Code and it’s Opus 5.1 now instead of Opus 5, no big deal. It probably will work about the same as it did before. Maybe a little better. Or if you’re on Codex and some new cool Claude model comes out, no worries. There will probably be a similar new model for Codex within…

One suggestion is to make a list or make a skill to have your agent keep a list of things you do not feel work well with today's models. And then, when new models come out, periodically, revisit items on that list to see if you get better results.

Re: GPT-6 Astra

#470

Post by epolanski »

jdprgm wrote: post #320

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…

If model X fits your need, you don't need to upgrade.

I have released applications on Gemini 3.5 flash that make real money and I don't see any particular reason to upgrade.

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