[linguae]

I may be naïve or completely uninformed, but given the federal government’s vast resources, including supercomputers, national laboratories, the NSA, and many talented employees, why does the federal government need OpenAI or Anthropic for that matter when it has the resources to build its own LLM, even one exclusive for government use? The federal government has a long history of technical feats, such as the atomic bomb, the ARPANET, and the moon landing. Couldn’t it build its own state-of-the-art LLM?

[SpicyLemonZest]

Supercomputers aren't useful for training LLMs, and the best researchers would have politically infeasible pay requirements. I'm sure the government could acquire a bunch of GPUs and make it happen, if for some reason we had to, but it's easier to do outside of the government.

[ethbr1]

> I'm sure the government could acquire a bunch of GPUs and make it happen, if for some reason we had to, but it's easier to do outside of the government.

That would be the right way of doing this, if the government were interested.

Tax closed-model AI companies, buy Nvidia/AMD/Google hardware, build open-access datacenters, and offer access to academic labs with the caveat that resultant models must be open source.

[rchaud]

All of these examples are Cold War era or before, when defense and aerospace was a much more collectivist venture with far less private sector involvement.

After the Cold War, McKinsey and big 4 consultancies are working in every part of government, ostensibly to make government as efficient as the private sector. The NSA's surveillance program wouldn't have seen the light of day had Booz Allen not had a contract with them.