4,559 karma · joined February 5, 2013
ie it is in the economic interest of the writers to tap into (and foment) the FUD around "data centers."
That said it's not guaranteed that the version we get will be without drawbacks, and imo we should be trying to shape a better version of the future by passing regulations now before unwanted behaviors calcify. Stuff like limiting how many empty miles cars are allowed to drive so that ppl don't just circle their cars around the block to avoid paying for parking, or regulating how long security updates need to be supported to keep insecure cars off the roads.
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How can you reasonably expect to be viewed as an objective reporter of facts if you also are acting as a commentator trying to shape public opinion?
Wait, who is picking an operational data stack after they decide on an analytics stack?
I'm skeptical that air taxis could ever meaningfully reduce traffic congestion to / from JFK. Compared to cars, these would seem to require a significantly larger landing pad and passenger unloading space and need much more safety margin in-between drop offs. Maybe this is competitive vs the private helicopter market?
If/when that goes away, I wonder if it will be cheaper to use a gps chip to make "self setting" clocks, or if everything will just be wifi connected.
That seems pretty trivial, relative to 38bn per year globally?
Why is that a good thing? Claude didn't ask any obvious follow up questions, like what determined whether a user got an email or not? It is using the ab test terminology in Step 3 without any kind of confirmation that this is, you know, a valid test.
On brand for Wharton I guess.
Long term, my feeling is Anthropic's focus on enterprise is the most obviously lucrative but also least defensible application of LLMs. If (more likely when) open source models reach the point of being "good enough" then it's a race to the bottom on pricing. Maybe it will be like AWS vs GCP et al, but I kinda doubt it.
I've seen a number of instances of this type of thing in wild, and under the hood it's usually some prompt that asks the llm to gauge confidence in its own answer. And from my admittedly naive understanding of how this all works, this seems extremely unlikely to be accurate. But I'm curious if that's still the case or if I'm operating under pre-2026 information?
that is a meaningless buzzword salad masquerading as a deep insight