> Without reading every word of every embedded tweet, a part missing from the conversation is HOW they are strongarming.
There are two possibilities:
> The government would likely argue that dropping the contractual restrictions doesn't change the product. Claude is the same model with the same weights and the same capabilities—the government just wants different contractual terms. […] Anthropic would likely argue the opposite: that its usage restrictions are part of what Claude is as a commercial service, and that Claude-without-guardrails is a product it doesn't offer to anyone. On this view, the government is asking for a new product, and the statute doesn't clearly authorize that.
and
> The more extreme possibility would be the government compelling Anthropic to retrain Claude—to strip the safety guardrails baked into the model's training, not merely modify the access terms. Here the characterization question seems easier: a retrained model looks much more like a new product than dropping contractual restrictions does. Admittedly, the government has a textual argument in its favor: the DPA's definitions of "services" include “development … of a critical critical technology item,” and the government could frame retraining Claude as exactly that. Whether courts would accept that framing, especially in light of the major questions doctrine, is another matter.
* https://www.lawfaremedia.org/article/what-the-defense-produc...
* https://en.wikipedia.org/wiki/Defense_Production_Act_of_1950
A more extreme situation: could the DPA be used to nationalize the model so the government has ownership, and then allow access to more amenable AI players?
There's a third possibility. Anthropic's management desires cover to remove limiters on some of its products for some of its customers. The Pentagon is more than happy to play the bad guy if it means that they get something that's even more useful to them than what they would have gotten otherwise.
"We made these compromises because national defense is really super important." has historically proven to be a really effective explanation for tech companies that want to abandon some of their previously-stated "nice and friendly" values in exchange for money.