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How GPT‑5.6 Sol helps run quantum computing experiments

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Re: How GPT‑5.6 Sol helps run quantum computing experiments

#91

Post by LtWorf »

logicallee wrote: post #61

Along the same lines, I asked ChatGPT-5.6 Sol to evaluate the feasibility of a neural network running natively on quantum computing, you can see the study here: http://taonexus.com/publicfiles/sep2026/quantum_neural_netwo... In short it's not really feasible and it suggested classical coherent photonics and in-memory compute as more viable approaches. ( Off-topic aside: these days I am more interested in funding Soci…

Results of prompts are like farts. We each have our own and aren't interested in the ones from other people.

Re: How GPT‑5.6 Sol helps run quantum computing experiments

#94

Post by teiferer »

qsera wrote: post #31
teiferer wrote: post #12

Earlier quoted context omitted.

The right tool for the job. There are tasks for which LLMs are unbelievably helpful. In programming, used well, it can 10x your productivity. (Well maybe not literally, but Nx for non-trivial N.) I've seen really good programmers become even faster since the LLM is doing the grunt work for them and the code produced in the end is just as top notch quality as they produced before, just that now they are much faster. O…

>just as top notch quality as they produced before, just that now they are much faster. No, they are not. There write programs like they write prose. There is 100% adherence to grammar and spelling when they write prose, but yet what they write is unintelligible and needlessly verbose. When they write computer programs there is 100% adherence to good practices, but eventually the program becomes so unintelligible and…

> > just as top notch quality as they produced before, just that now they are much faster.

> No, they are not.

It fascinates me with what conviction you are writing this. You don't know any of the people involved nor how they work or the code they produce. Yet you are certain that what I wrote is false.

I'm speculating now, but you are likely imagining that the LLM-produced code is used as-is, producing a growing slop pile. The cases I'm describing are not like that. Those folks know exactly what they want, how the architecture and the code should look like, and they are getting the LLM to produce it like that. There are quite a few iterations and manual polishing steps too. In the end, the code looks like as if they had written it themselves, just that the whole process was 5x as fast because there is so much quite standard stuff automatically added which would just have been slower by hand.

If you have not experienced this yourself then I understand your attitude, but rest assured, this is possible and I'd caution you to dismiss this.

Re: How GPT‑5.6 Sol helps run quantum computing experiments

#95

Post by user43928 »

dgellow wrote: post #89
user43928 wrote: post #58

Earlier quoted context omitted.

As long as the data centers are utilized and generating revenue, I see no reason for a correction or any misallocation of capital for the infrastructure buildout. And today these data centers are fully utilized. OpenAI tweeted today that they may need to disable new signups for the Pro subscription in the near future due to capacity constraints. A year from now, who knows what the situation is going to be like. It se…

> A year from now, who knows what the situation is going to be like. That cuts both ways, we are building datacenters for an immature technology that is quickly evolving. We have no idea what AI will look like in the next 5-10y. Everything that is planned to be built is based on the demand we see right now, not what it will be in the future. That means different GPUs that require different cooling systems, different…

Directionally we are seeing demand for more compute.

It's a reasonable assumption that data centers that are set up for large power usage and cooling will be valuable.

Claiming the opposite based on, well, nothing at all, in order to forecast a correction, seems less reasonable.

Re: How GPT‑5.6 Sol helps run quantum computing experiments

#96

Post by teiferer »

sreekanth850 wrote: post #18
teiferer wrote: post #12

Earlier quoted context omitted.

The right tool for the job. There are tasks for which LLMs are unbelievably helpful. In programming, used well, it can 10x your productivity. (Well maybe not literally, but Nx for non-trivial N.) I've seen really good programmers become even faster since the LLM is doing the grunt work for them and the code produced in the end is just as top notch quality as they produced before, just that now they are much faster. O…

Many will disagree and say that anything done by humans is by far superior to anything done by machines. You don't want to correct them, do you?

Of course I disagree because this generalized statement is quite obviously false. Have you used electronics made by hand? Versus made by a machine? You can't possibly claim that a PCB assembly by hand has higher quality than done by a machine. That the transmission of a message by hand from Berlin to Paris is higher quality than if communictations electronics was involved.

Of course you didn't mean that (but you wrote it). You probably mean a creative process. The process I descibed is still having the creative human in the loop. Just that the machine is filling in the gaps that are qualite mechanically fillable. Nothing strange with that.

Re: How GPT‑5.6 Sol helps run quantum computing experiments

#97

Post by landl0rd »

williamdclt wrote: post #85
gpt5 wrote: post #77

Earlier quoted context omitted.

Especially since these anti-AI comments completely disappear in posts about Chinese AI progress.

Just subjectively making it up, but my feeling is that people are not so much against AI in principle as they are against the american-capitalist approach to it: steamroll its rollout everywhere, risk the entire economy (both jobs and stock market), for dubious net benefits to anyone but the wealthy. The US earned themselves very little goodwill from the world (and many of their own citizen), to the point that people…

Possibly the only more totalizing steamrolling approach to development than the American-capitalist is the socialist-big-push. This complaint is nonsense.

Re: How GPT‑5.6 Sol helps run quantum computing experiments

#98

Post by ForHackernews »

user43928 wrote: post #95
dgellow wrote: post #89

Earlier quoted context omitted.

> A year from now, who knows what the situation is going to be like. That cuts both ways, we are building datacenters for an immature technology that is quickly evolving. We have no idea what AI will look like in the next 5-10y. Everything that is planned to be built is based on the demand we see right now, not what it will be in the future. That means different GPUs that require different cooling systems, different…

Directionally we are seeing demand for more compute. It's a reasonable assumption that data centers that are set up for large power usage and cooling will be valuable. Claiming the opposite based on, well, nothing at all, in order to forecast a correction, seems less reasonable.

"Compute" is not one generic commodity. Filling your datacentres with ASICs that do nothing but compute SHA256 for Bitcoin mining was a smart move in 2015 but today that hardware is worthless e-waste.

What does the depreciation curve look like for nvidia cards purchased today? How long will it take to recoup the investment on this buildout? Will those datacenters pay for themselves before they're scrapped?

Re: How GPT‑5.6 Sol helps run quantum computing experiments

#99

Post by avazhi »

I feel like, given how poorly techies view OAI and its executive team, they'd be better off not releasing PR (ie., IPO-farming) announcements like this.

If you've got something objectively monumental to announce then sure I guess (I mean, most of us will just assume OAI is lying/exaggerating), but nobody takes the OAI propaganda seriously. You might even say this is not how you make your first billion.

Re: How GPT‑5.6 Sol helps run quantum computing experiments

#100

Post by mentalgear »

avazhi wrote: post #99

I feel like, given how poorly techies view OAI and its executive team, they'd be better off not releasing PR (ie., IPO-farming) announcements like this. If you've got something objectively monumental to announce then sure I guess (I mean, most of us will just assume OAI is lying/exaggerating), but nobody takes the OAI propaganda seriously. You might even say this is not how you make your first billion.

> poorly techies view OAI

Not just techies : every serious financial analyst would check the buzz on sites like HN - but scam-altman doesn't care.

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