"Power tends to corrupt, and absolute power corrupts absolutely. Great men are almost always bad men."

Lord Acton

source: https://www.phrases.org.uk/meanings/absolute-power-corrupts-...

Once upon a time, C++ was a new language. (Bear with me here.) A lot of small companies popped up with libraries. Then C++ became popular and those companies went out of business because they couldn't afford to provide customer support to their new customers.

Many current tech companies are in the same position. They physically cannot afford to pay for actual support. Instead, they rely on algorithms and things like this article; if it becomes popular enough, it will get handled. The alternative is covert support via Bezos' personal address, for example.

There absolutely is, but they don't want to see it so they never will. (And I mean actually want to see it, no matter where that introspection goes. Not just telling themselves they're the kind of people that would want to see it.)

People that have worked in software at non-fashionable companies outside the region can usually see it, but when people move to the bubble (geographically or mentally) they often get assimilated.

It's hard to talk about, except in person. Online they can swarm any conversation, and they're from the west coast which means they're experts at passive-aggressively tearing people apart.

The way I've put it before, is that a culture issue (in something of a soup of them) is that "people" aren't an "interesting technology" that will, for instance, make HN headlines or provide interesting things for technologists to work on or brag about, so SV companies don't really invest in "people" to solve problems. SV companies under-value important labor roles like customer service, and instead over-value automation and algorithms.

A common argument is that people don't "scale" quite like automation and algorithms do, but we have millennia in expertise in labor markets (humanity survived quite a while without algorithms pretending to be customer service) that we could do much better, if so much of SV wasn't about avoiding and/or entirely shirking labor costs for "shinier" technology solutions.

I think apart from the scale, they view labor as a risk, rather than an asset. The ironic part to me is they're hiring "genius" level talent to create these dummy level algorithms.

That's certainly a part of the irony in how much they'd prefer to hire white collar SV labor than blue collar labor anywhere else. For the average salary of just one PhD in "data sciences" in SV cost of living you could often hire an entire floor of a call/support/service center in some Midwest state. (Though few of those consider labor an asset either, that's a more systemic problem in how the current zeitgeist of capitalism views the entire labor market, unfortunately.)