greenmilk
This applies to all surgery.
The medical system uses coarse statistics, like "did the condition go away" and "did the patient survive".
"The patient went through a devastatingly painful 9 months and slowly recovered over the course of years to work towards a small improvement in the original symptom" may be classified as a success.
And don't forget that many actors in the system are financially incentivized to recommend interventions.
People can feel the misalignment, but they don't understand it. That's the future we are accelerating towards
By 2024 they had begun dumping the EVs and reported a $2Bn loss as a result.[0]
The HTZ stock price has fallen 90%.[1]
Somehow TSLA is still trading in the neighborhood of that 2021 peak. Currently trading at a PE ratio of over 300, despite declining revenues[2].
Really wish I understood the Elon Musk voodoo.
[0] https://www.cnbc.com/2024/01/14/hertz-makes-agile-decision-t...
Unfortunately, this essay exhibits the hallmark lack of empathy and self-awareness that perpetuate the toxic dynamic.
Sure, there are "haters", but the mirror effect is equal: powerful people often end up inside of bubbles that shield them from negative criticism, and often become blind to the legitimate criticisms people have of them.
These decisionmakers often have to make difficult decisions with powerful tradeoffs. It's more comfortable to cast those with values differences or who are on the wrong end of that decisionmaker's tradeoffs as "haters".
I'm not sure how everyone in the US forgot that monopolies are bad
Unsurprisingly, the resulting economy in aggregate is non-competitive, as it relies entirely on supply chains from competitive marketplaces.
Why do you think this will be true?
Right now I see the major US labs betting on gaining an advantage from having way more compute, and I see Chinese labs competing with one another in a resource-scarce environment, so they place much more emphasis on compute-efficiency.
But the supply chains that feed into the massive data center growth in the US are strained; there are energy, memory, and logistical bottlenecks to name a few.
In the medium-long run, compute capacity will not grow exponentially forever. Somehow it has for decades, but there can be no infinite exponential growth, and that point may be when the planet really starts to cook itself.
Maybe the US labs will become more compute-constrained, and then have to compete on efficiency.
Or maybe things change fundamentally in some other way I'm not thinking of.