Though be very, very careful when speaking with others, whether it be the less informed public or the more informed insiders who often come down with AI psychosis.
But I also think that this is not mutually incompatible with the view that there's also overdiagnosis. And I think we need very careful ways of making diagnosis because the conventional way is you take a history from a person about what the problem is.
So this speaks of a very important fact that um AI learns from patterns. When the patterns are not abundant, then we have to be careful. We have to know how to use AI or how not to use AI.
And that's why every hype cycle produces a wave of absolutely spectacular demos and very few real products. And the recurring mistake of every cycle is spending on the demo when you should be saving for the nines.
if you're starting the same startup as everybody else, it's like you get a lot of hype and you can raise a lot of money, but it's it's sort of like those are much less frequently the big option, the big outcomes.
But now with Claude Code on my VPS in the last year, it just live edits on my production server, which sounds like it should go wrong but it just doesn't, it's very careful and only twice in 12 months messed up which meant my site didn't load for 10 seconds which is OK
there's a consistent theme where Gen Z (and millennials, to some extent) are rejecting the AI hype while older generations are optimistic and coincidentally in a position to benefit from it.
But the thing I was careful not to do was to change the lifestyle because I I watched people around me change the lifestyle so you can make a lot of money and still be broke.
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
So, I think AI-type tools we really will will actually revolutionize the ex- the experimental side of math where where um you don't care so much about uh individual problems and and the process of solving them, but you you want to gather just large-scale data about about what things work, what things don't.
The causes and meaning of those events have been debated ever since, and Sides delivers a careful, sympathetic and engaging account of the entirety of Cook's final expedition.
If you look at the S&P 500 now and you look at the amount of value from companies created in that, one could argue that actually almost all of the exuberance and hype was totally warranted and it in fact did change commerce in fundamental ways.
We ought to be especially careful in the cases where what we delegate to a device, app, agent, or system is an aspect of how we express care, cultivate skill, relate to one another, make moral judgments, or assume responsibility for our actions in the world
So, we could be fooled into thinking like, "Oh, technology's going to go on forever, we're always going to find new advances." As opposed to sometimes things just flatten out for a long time. So, you have to be careful about that bias that we have living in this time of great acceleration.
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