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U.S. government will decide who gets to use GPT-5.6

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Re: U.S. government will decide who gets to use GPT-5.6

#871

Cyberpunk 2077 is such an accurate picture of the future. Megacorps will own and control everything, we will be lucky to get the leftover scraps.

CP 2077 belongs to a 80s franchise, it was futuristic back then. Since the 2000s, cyberpunk the 80's genre is an accurate representation of the present and past. The future looks bleaker now, with fewer romanticized decorations like flying cars and social dynamics being worse than what the cyberpunk grandfathers imagined. For example "low life" being way more controlled which is exactly what both masses and elites wanted.

In retrospect it's obvious that the cyberpunk authors were mistakenly projecting certain parts of their present into the future (relative freedom of the masses and increasing rate of "traditional" engineering), and didn't consider second order effects and political action/reaction.

Re: U.S. government will decide who gets to use GPT-5.6

#872

Earlier quoted context omitted.

Any country that developed sufficiently advanced models will pursue the same path. The EU as a regulatory body would pursue the same path, as will/is China. It’s rather straightforward to think through. If China (they’re practically the only competitor) built a sufficiently advanced AI system would they allow it to propagate on the free market? Of course not. The fact of the matter is that they are behind, even if it…

> AI is and always has been a winner-take-all strategy People claim that AGI is. AI is turning out to be a fairly competitive but “normal” product. Companies carving out niches on cost, quality, and speed. If it was a winner take all OpenAI’s head start would have been decisive. For years ChatGPT was far ahead of everyone, then Anthropic released Opus 3, then OpenAI released 4o, then in mid 2025 it seemed like everyo…

> and now Claude is probably the best coding model

Do people who keep saying this actually used Claude side by side with other models?

Because in my experience it turned out to be hilariously crap: https://i.imgur.com/jYawPDY.png

Re: U.S. government will decide who gets to use GPT-5.6

#873
post #749

Earlier quoted context omitted.

I hope that open models will dominate. The difficult part to reconcile for me is the amount of compute that's required to create and run such models. Small models are fine, I run local llms 27b param on a gpu, but it's not even close to frontier in capability. Who wants to drop $40k+ on hardware to run these things. Companies, maybe/perhapts. On the other hand, to run a DB I can get a server for $3k and handle tons o…

Has anyone tried to run a data center as a Co-Op?

coopcloud.tech ?

Re: U.S. government will decide who gets to use GPT-5.6

#874
post #749

Earlier quoted context omitted.

I hope that open models will dominate. The difficult part to reconcile for me is the amount of compute that's required to create and run such models. Small models are fine, I run local llms 27b param on a gpu, but it's not even close to frontier in capability. Who wants to drop $40k+ on hardware to run these things. Companies, maybe/perhapts. On the other hand, to run a DB I can get a server for $3k and handle tons o…

Has anyone tried to run a data center as a Co-Op?

A data center or a cloud? It's not difficult to find a good data center to colo at. The problem is then you have to bring your own hardware, technicians, and sysadmins.

However, if you don't trust cloud providers or inference providers for whatever reason then you probably aren't going to be excited to enter a co-op model where you're still effectively renting access to hardware that you don't directly own. There are already reasonably priced options to rent bare metal from a cloud provider.

The only way I see it working is if it's a bunch of medium to large sized businesses getting together to be able to rent out the spare capacity on hardware that they physically control. So an AWS equivalent where each rack is owned by a different company and retail VMs migrate between them transparently. But I question the overall economics of such an arrangement.

Re: U.S. government will decide who gets to use GPT-5.6

#876
post #693

Earlier quoted context omitted.

So far it's only US doing this. I don't think it's in anyone else's interest to limit development of open source models or chips. Nvidia has secured a leading position in GPU market by being the best overall, but if US continues to mess up with the export, that changes the calculation and surely we'll see the alternatives

Any country that developed sufficiently advanced models will pursue the same path. The EU as a regulatory body would pursue the same path, as will/is China. It’s rather straightforward to think through. If China (they’re practically the only competitor) built a sufficiently advanced AI system would they allow it to propagate on the free market? Of course not. The fact of the matter is that they are behind, even if it…

> Any country that developed sufficiently advanced models will pursue the same path.

Looking at most of the available evidence, Mythos is an incremental upgrade over other models and nowhere near the implied advancement that this seems to point to. I guess you could be right in that a sufficient advancement would cause this type of withholding of it, but I think it's kind of silly to think that the US has reached that level.

Re: U.S. government will decide who gets to use GPT-5.6

#877

Earlier quoted context omitted.

> This will make it hard/impossible for new vendors to come into the market and only established companies will get to play, and charge, for LLMs. I don't understand how you leap from "US govt. decides who gets to use GPT-5" to "limit new vendors from competing with OpenAI". Can you walk me through the logic?

These frontier models are now good enough that they can assist heavily with new optimizations for future models, including, code them. Restricting their usage to a few companies takes away that advantage away from other companies, thereby, limiting new vendors from competing with OpenAI.

Do you have any sources for the claim that LLMs meaningfully help in the production of LLMs?

Re: U.S. government will decide who gets to use GPT-5.6

#878

This is regulatory capture in action. This will make it hard/impossible for new vendors to come into the market and only established companies will get to play, and charge, for LLMs. What does this mean for open source? Will it become illegal to download weights? What about train your own? Are we heading to a world where GPU use is regulated to ensure that illegal LLMs aren't being processed on your machine? More bro…

> I can train insainly powerful models on my laptop. This is such hyperbole. You might be able to train a model that's merely useful in a single domain, but to say you can train an 'insanely powerful' model on consumer hardware is laughable.

Zuckerberg has spent billions trying to keep Meta's models relevant, somewhat unsuccessfully.

If only he had known he could simply use his laptop to train them.

Re: U.S. government will decide who gets to use GPT-5.6

#879
post #693

Earlier quoted context omitted.

So far it's only US doing this. I don't think it's in anyone else's interest to limit development of open source models or chips. Nvidia has secured a leading position in GPU market by being the best overall, but if US continues to mess up with the export, that changes the calculation and surely we'll see the alternatives

Any country that developed sufficiently advanced models will pursue the same path. The EU as a regulatory body would pursue the same path, as will/is China. It’s rather straightforward to think through. If China (they’re practically the only competitor) built a sufficiently advanced AI system would they allow it to propagate on the free market? Of course not. The fact of the matter is that they are behind, even if it…

> AI is and always has been a winner-take-all strategy

AGI sure. But I don't think we're going to get there in our lifetimes, if ever. There are too many structural and physical limitations. One everyone seems to be catching onto now is that they're running out of human data and are incestuously feeing AI output to itself as input.

Current state AI is barely an improvement over where it was fifty years ago. We just have stronger hardware and more content to train on. We need a new paradigm. One that hasn't come in half a century.

Re: U.S. government will decide who gets to use GPT-5.6

#880
post #749

Earlier quoted context omitted.

As far as Europe is concerned they have recently signed up to the 'Pax Silica'[1] and willingly givrn the LLM space over to the US incumbents with buildtin legislation banning Chinese models and coperation with them. So EU will be a renter of the LLMs that the US allows them to use. In the long run OpenSource will dominate as it did in the DB(MySQL/Postgres)/ServerOS(Linux/BSDs) versus Proprietery rent seeking alts l…

I hope that open models will dominate. The difficult part to reconcile for me is the amount of compute that's required to create and run such models. Small models are fine, I run local llms 27b param on a gpu, but it's not even close to frontier in capability. Who wants to drop $40k+ on hardware to run these things. Companies, maybe/perhapts. On the other hand, to run a DB I can get a server for $3k and handle tons o…

There might be a community effort at some point. This happened in chess where the community recreated and then improved on Alpha Zero. You could run small training chunks on your machine. Some people donated thousands of hours of server time.
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