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GPT-6 Astra

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Re: GPT-6 Astra

#831

Post by XCSme »

iammrpayments wrote: post #732
XCSme wrote: post #335

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?

This has not been my experience so far.

That's good to hear.

How long and much have you been using LLMs for?

I think it takes ~1 year of heavy usage for this feeling to set in, it's like the 5 stages of grief, there's different phases.

Now a big overwhelm come from the fact that the AI can work a lot faster than I can verify/check manually. Combined with the fact that not using the 100% usage of the subscription feels like wasting money/potential, leads to a feeling that I should always be doing more, where at the same time, it's getting hard to remember what am I even doing, when working on 3-4 projects at once.

And I do work in multiple projects at once, because that's how AI works best nowadays, if you have two threads running for the same project, it gets buggy or wasted tokens (like two people working in the same file at the same time, merge conflicts ,etc.)

So the solution is to have the AI work on many, independent tasks at once, but it gets overwhelming for a single person to keep track of all...

Re: GPT-6 Astra

#832

Post by XCSme »

monster_truck wrote: post #738
XCSme wrote: post #335

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?

You're not being ambitious enough! Spend your tokens now building the primitives and foundations of much larger, complex systems. No matter how much faster and more efficient models get, eliminating the gruntwork will always pay dividends.

That's what I am doing and usually telling others to: don't prompt the AI to do something, prompt the AI to create a system that does that something.

It's true, it's fun to have those systems, maybe I care more about them than the product, because the promise is "better, cheaper results in the future". But those systems are software too, and only tools, and will likely too be obsolete in 1 year from now.

I think it's a bit better when creating stuff now with a very short-term view: create something that is useful NOW, it doesn't matter it won't be useful tomorrow. Create it now and get it into the hands of people now.

Re: GPT-6 Astra

#833

Post by XCSme »

winrid wrote: post #747
XCSme wrote: post #335

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?

lol have you actually tried to build anything useful e2e? Leaving the AI to itself gives horrendous results.

Yes, many projects, used in production at various scales.

Some even for large clients, and they work well in production, clients are happy, yet I feel no connection to the work. If the client says something, I just copy-paste it to the AI and it fixes it/implements it.

There is too much code and complexity to check if the changes are ok, apart from seeing it if it seems visually ok and if the problem is fixed live. It almost always works, but it definitely doesn't have the same feeling as thinking of the problem, finding a solution, and implementing it, part which most developers enjoy in their work.

Re: GPT-6 Astra

#835

Post by XCSme »

sbochins wrote: post #754
XCSme wrote: post #335

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?

Then learn how to be creative and use the ai better?

It's like telling a painter who polished their craft and every brush stroke for 20 years, that now got access to a robot that does the painting, to be more creative in what it tells the robot to paint.

Imagine Bob Ross prompting a robot what to paint...

Re: GPT-6 Astra

#836

Post by andrepd »

intenex wrote: post #248

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've been at the point personally where I am reasonably confident that there's essentially nothing that I am better than Fable

What a sad thing to say. These models are not even better than me at _writing code_, which is as well-suited a task for LLM agents as can possibly be, what with the structured environment and the exabytes of free annotated training data.

Of course, they are also not better than humans at writing, let alone at talking to my daughter, running a pathfinder campaign, decorating a room, being a therapist, etc.

Re: GPT-6 Astra

#837

Post by XCSme »

globular-toast wrote: post #768
XCSme wrote: post #335

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?

So this what a deflation economy is like. People don't want to do anything because they feel like whatever they do will be worthless in the near future. I've retreated to doing stuff with my hands. Wokdwork, DIY, that kind of thing. At least for now and the foreseeable future that doesn't seem pointless. Only problem is it's hard work yet nobody would pay me for it.

That's a good idea.

I might go more into table-tennis coaching, probably people would still prefer to be coached by a real person and not a robot for a very long time.

Re: GPT-6 Astra

#838

Post by XCSme »

taurath wrote: post #784
XCSme wrote: post #335

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?

I find it regularly incapable of doing the most basic things - maybe the idea is to think in terms of more detail? It’s kind of like saying what’s the point of poetry when a dictionary exists

What model are you using?

I used GPT 5.6 Sol Extra High (Fast) for the last month, around 4-5h per day, and it managed to acomplished most of the tasks it had. It didn't really impress and often the end result needed one or two tweaks/fixes, but it did work and could create e2e solutions.

Re: GPT-6 Astra

#839

Post by zit-hb »

mvkel wrote: post #263
intenex wrote: post #248

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…

Take it from the mouth of the creator of ARC-AGI: When we released ARC 3, I got asked, "when do you think a frontier model will saturate it?", and I answered "in about a year, though it depends on how much it gets explicitly targeted" That was 6 months ago, so the progress that Astra represents happened about 2x faster than I anticipated. I think the speed of progress will surprise a lot of people, and what the new m…

Absolutely. You should never underestimate the compounding effect such a release can have. Having the right tools to create new tools.
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