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OpenAI begins rolling out GPT-6 Astra

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Re: OpenAI begins rolling out GPT-6 Astra

#241
post #23

Am I the only that thinks that anything similar to AGI will come not from raw model capacity but from model speed and efficiency? In my experience the harness is more important than the model, and anything able to run at 700tps will be the "next big thing". PS: assuming the current architecture is the right one

Why would speed matter? Surely an AGI could think slowly but still be an AGI

I think because we have handicapped them with a set of tokens from human language. But (at least I think so) thought happens outside of language.

So more tokens/variability and slow or fewer tokens and fast.

There seems to be a threshold tho, like taalas is super fast but that model is so dumb, being dumb faster doesn't work, seems to be some minimum requirements.

Re: OpenAI begins rolling out GPT-6 Astra

#242
post #77
post #40

Looks very capable 404 Archive locks one shelf Dust spins softly through the stacks Browse one row nearby by gpt-5.6-sol

Bridge ends in midair Wind sketches the farther bank The far bank draws near by gpt-5.6-sol

Prompt blooms into verse

I count syllables, not rain—

Whose noticing?

Generative Pretrained Transformer 5.

Re: OpenAI begins rolling out GPT-6 Astra

#243

At this point, why don't we just do a prequel to the release? 1) Astra will win all benchmarks like all models do. 2) The pelican will have a basket with a fish. 3) Cyber is too dangerous to release. 4) It can finally construct the set of all sets.

> 4) It can finally construct the set of all sets.

lazily of course:

A = {x | x ∈ A} ∪ {A}

Re: OpenAI begins rolling out GPT-6 Astra

#244

(Posting partly so I can revisit my predictions when they open access more widely) A big problem I have with OpenAI's models (and of course Claude) is that they tend to write the most over-engineered pieces of code, beyond the imagination of any architecture's astronaut. Just this week I asked 5.6-sol-ultra to update a 1000 LOC python script I had, to "incorporate the key lessons learned when using it for another pro…

Why would you put it on ultra high thinking and let it run all night to do a simple task it makes no sense the error is the users. And of course OpenAI is gonna let you burn as many tokens as you want doing this.

Re: OpenAI begins rolling out GPT-6 Astra

#245

(Posting partly so I can revisit my predictions when they open access more widely) A big problem I have with OpenAI's models (and of course Claude) is that they tend to write the most over-engineered pieces of code, beyond the imagination of any architecture's astronaut. Just this week I asked 5.6-sol-ultra to update a 1000 LOC python script I had, to "incorporate the key lessons learned when using it for another pro…

Why would you put it on ultra high thinking and let it run all night to do a simple task it makes no sense the error is the users. And of course OpenAI is gonna let you burn as many tokens as you want doing this.

On the flip side if its a super simple task, surely a "next gen dev replacing" LLM can figure out when to stop. Even more when it's a higher level of reasoning.

Re: OpenAI begins rolling out GPT-6 Astra

#246

Earlier quoted context omitted.

1000 loc of script, why even leave it there for the night? were there rocket trajectory calculations??? I don't think so. should be ready in 5 mins tops. why people make their own lives harder? You should have some basic context file about software practices you prefer, otherwise it gets bloated.

I just went to bed and left it running; was expecting maybe 20 minutes :) And I did gave the program a bunch of code guides -- this [1] for instance -- which included quotes like "Prefer straightforward code over clever code." but somehow that didn't matter. [1] https://github.com/sergiocorreia/overengineered-rand-mcnally...

I'm an AI professor, and the same thing happened to me. I had written out contracts and specs for some novel algorithms to compare. And instead it created a new sandboxed environment with 20k lines of code to ensure we do gold standard science.... didn't implement the algorithms at all. In another case, I left it overnight with a plan, and it decided to write a 50k line new overly engineered plan. Suffice to say, I don't use any frontier models for doing coding work anymore. I use them to make detailed plans and use good worker AIs for execution, which don't overthink everything.

Re: OpenAI begins rolling out GPT-6 Astra

#247

Earlier quoted context omitted.

It's a lot more than just commercially meaningful. Even if you don't care about money, "highly autonomous systems that outperform humans at most economically valuable work" has a lot more weight on "how close we are to achieving human intelligence" than most of the 'AGI' thresholds I've seen yet.

Well, let's learn to walk first. Right now we have just massively jagged intelligence that performs stunning feats in math and single-shotting three.js games, and falls flat on it's face in many every day scenarios. And, it can't even learn.

It can learn very well within its context. And it can leave notes for itself to read into future contexts.

That's learning, whether you agree or not, and whether you like it or not. Baby steps, yes, but walking nevertheless.

Re: OpenAI begins rolling out GPT-6 Astra

#248
post #205

Earlier quoted context omitted.

"You should have a sub-hammer to adversarially enforce that your primary hammer accurately drives nails into wood" We wouldn't accept such behavior from any other tool, machine, or computer program. At least most of us would not. To paraphrase the old saying: Some people, when confronted with a problem with an AI model think "I know, I'll use an additional AI model." Now they have two problems. I find it very intrigu…

Human level programmers generally suck too. Unending security holes have been human behavior ever since we started sharing computers. Also, programming isn't a destination, it is a process and everyone has a different ruleset on what that process looks like. Writing a computer program of any complexity is not a determinalistic process. Trying to compare it to a detemanilisic tool will just leave you with broken analo…

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Re: OpenAI begins rolling out GPT-6 Astra

#249

(Posting partly so I can revisit my predictions when they open access more widely) A big problem I have with OpenAI's models (and of course Claude) is that they tend to write the most over-engineered pieces of code, beyond the imagination of any architecture's astronaut. Just this week I asked 5.6-sol-ultra to update a 1000 LOC python script I had, to "incorporate the key lessons learned when using it for another pro…

The defaults are bad, but these models are highly steerable. For simple scripts adding to the prompt something like "do not over engineer, do not gold plate, no CLI args, keep it simple" does wonders. For whole projects, I have a 3 page anti-bloat.md which describes what not to do, stuff like: > Minimize lines of code, number of files, classes, protocols, factories, wrappers, and dependency-injection objects. Prefer…

[dead]

Re: OpenAI begins rolling out GPT-6 Astra

#250
post #22

Earlier quoted context omitted.

You should have a sub agent adversarially enforce KISS before every commit.

"You should have a sub-hammer to adversarially enforce that your primary hammer accurately drives nails into wood" We wouldn't accept such behavior from any other tool, machine, or computer program. At least most of us would not. To paraphrase the old saying: Some people, when confronted with a problem with an AI model think "I know, I'll use an additional AI model." Now they have two problems. I find it very intrigu…

> We wouldn't accept such behavior from any other tool, machine, or computer program.

Von Neumann, 1952: "Probabilistic Logics and the Synthesis of Reliable Organisms from Unreliable Components." The whole result is that you get an arbitrarily reliable machine out of unreliable parts by adding more unreliable parts and voting. Every ECC memory and RAID array descends from it.

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