FOSS is the wrong analogy. Building frontier LLMs isn’t primarily an engineering discipline, it’s a scientific research program.

Of course we do have basically open source research programs, including most universities and big projects like CERN. But AI grew up in universities until it transpired that sufficient capital could only be found in the private sector.

It would be possible to make a decent publicly funded AI research program. But it would look more like the Manhattan or Apollo projects (which frontier labs already model themselves after) than some extra research grants for universities.

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sigmoid10 18 hours ago | parent | next [-]

The Manhatten project cost about $40 billion in total adjusted for inflation. Anthropic's latest funding round alone raised $65 billion.

The entire Apollo project at the peak of the cold war cost about $300 billion in today's dollars. That's approximately what OpenAI and Anthropic have raised together in total until now.

I don't think governments can supply this amount of money for AI in the current political and economic climate. The LHC cost less than $10 billion by comparison and it was spread out over a much longer timeframe.

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pjc50 18 hours ago | parent | next [-]

> I don't think governments can supply this amount of money for AI in the current political and economic climate.

I'm a believer in Keynes' "anything we can do we can afford". It could be afforded .. if there was a sufficiently good reason. And there isn't. This is way behind "governments, especially the EU, should have a sovereign cloud". It is also way behind "governments need to keep global warming below 2C by the end of the century" and "governments need to ensure affordable energy", objectives which the current AI buildout is in direct conflict with.

This is before we get into the question of whether AI has net positive social value in non-software use cases. Even in software the case for AI is explicitly job-destroying and raising electricity prices for everyone else.

	▲	sigmoid10 14 hours ago \| parent [-]
		There are things you can't do - even as a society - when the costs start ballooning beyond the GDP of smaller European nations. I mean, yes, in an emergency you could cancel all social security and public infrastructure spending and instead dump it into AI. But even then it will take several big nations to foot the bill if you want to still have a country left after you're done. With the level of political heckle everywhere, this is just not going to happen, because it would need unanimous support from all sides.

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bs87 18 hours ago | parent | prev | next [-]

Govts can take it over. Corporations dont maintain standing armies. So there is a pecking order that corps have never been able to invert. They rely on Govt for their own security.

History is full of these take overs if there is risk(usually happens after some catastrophe). See the finance sector(once upon a time private banks invented and printed money), nuclear industry, febrtilizer industry, crypto, a whole bunch of processes in biotech/synthbio. Classic textbook example is the East India Company. It was much richer that the British Govt or the King.

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roysting 17 hours ago | parent | prev [-]

> I don't think governments can supply this amount of money for AI in the current political and economic climate.

You understand how the system works if you’re thinking in terms of government/non-government. The current political and economic state is not a bug, it’s by design which serves a purpose.

Remember, the purpose of a system is what it does

	▲	pembrook 15 hours ago \| parent [-]
		Yes, if the US was modeled like the USSR they could extract 100% of everyone’s private assets and the politburo could spend them on whatever moonshot projects they wanted to, unchecked by silly democratic votes. But…the USSR and that entire model failed spectacularly? So not sure what you’re getting at here. Is there some fantasy economic model you believe you’ve innovated that will lead to utopia and the end of resource scarcity?

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dm319 16 hours ago | parent | prev [-]

> But AI grew up in universities until it transpired that sufficient capital could only be found in the private sector.

One way of looking at it. Another is that AI research progressed within universities, but it was only until recently that the private sector saw the profit potential when combined with modern CPU/GPU technology.

You could argue we're saying the same thing, but I think these angles are different. An academic research programme would not have spent billions on a datacentre to provide AI for free to the general public, for example.

	▲	thatguymike 8 hours ago \| parent [-]
		I agree an academic research program wouldn’t spend billions on a datacenter, but that’s just a reason why foss AI as described in this article won’t work - because big compute is required to do anything of real relevance.