Probably but the reality is I doubt that actually works outside of US government contracts in practice simply because Europe/et al aren't going to follow their lead.
> You speak so authoritatively about quality and performance of these models, yet there are no quantitative metrics that correlate to real world outcomes that indicate that the quality and performance of these models is anything but subjective noise and classic benchmark nonsense.
I'm responsible for AI roll out at a small business and we've had data science go over these things internally in terms of what results we get for 12+ months now. Its just my experience that is roughly the results we've seen using Deepseek, etc. and comparing cost/results vs. Anthropic/ChatGPT.
> A company consumed half a billion dollars worth of tokens in a month and nobody noticed anything until the bill came due.
It was sourced from one anonymous source. Its highly unlikely to be true in my view, but hey, you do you.
The real competition is coming out of China right now and I doubt the Chinese government is going to let them buy out their "fast follower" AI companies that are consistently 6-12 months behind in terms of quality. That said, I'm factoring quality as in Opus 4.5/Sonnet 4.5/GPT-5.5 as break points since I haven't really seen an improvement since that point when using AI.
Anecdotally, if I hadn't gotten tested as part of a long term physical I wouldn't know about stuff that would cause my body to fail much younger than it would otherwise and lead to an early death.
So hey, at least in my case, it worked as the commonly held belief states.
And that study doesn't look at multi-decade long term effects like diabetes, etc. where you need it for a decade (or longer!) untreated (or poorly managed) before it kills ya. But it still kills ya years early.
So even the "raising rates of diabetes detection" in combination with your belief from that study proves you incorrect when people talk long term.