A big portion of that is the greatly restricted access to healthcare. Federal law changes caused a large number of rural hospitals and other medical facilities to shut down over the last decade. This delayed access to diagnostic care, and slowed down golden hour treatment have greatly impacted average age of death for rural communities.
Another way to look at it: Congress has demanded document preservation about their exports to China. As of now, there’s a very public justification for that oversight, not just some revenue and tariff shenanigans.
They started originally to help people move away from Big Tech, but they do say early on the homepage:
> And now AI is making all that much worse...
As for your questions, I agree those are different and related discussions that I'm not looking to bring here, as I'm not sure it'll be necessarily productive, but I'm happy to be proven wrong!
Advances in small models, on-device. This feels closest to your question.
The rare CEO who is maybe bearish on AI, but preparing for a bubble to burst. Asset managers, for instance. Paid to be early, but also to survive being early.
The actual purpose of hyperscalar data centers. Are they all guilty of advancing some mass surveillance? Or do we call it model training, which is only sometimes pointed at mass surveillance?
Well put. Comparing the CFTC and the SEC, we see equities enjoying some consumer protection. How would you answer your own question? Do under-defined bets on prediction markets necessitate a third regulator?
The formula came from an 18th century America, in which some states had relatively high voter participation, and others were slave colonies. The formula for electors was simply a compromise which picked 3/5 as the factor for counting a slaveowners extra representation.
No, it’s more like: who is lying, Jared Kushner or Vanity Fair? The stakes are large for both, but we’re better off compared to how the regime prefers to suppress that.
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