> These aren't "job losses", these are "firings".

While both terms mean someone no longer has a job, they differ in cause and implication.

Firing is when employer terminates someone for cause, i.e. employee did something wrong or didn't meet expectations. Job loss is a broader term, simply means the person no longer has a job, for any reason, but typically layoffs, downsizing, restructuring, plant closure, or being fired.

So I'm not really upset about saying job losses in this case rather than firing, because the employees who lost their jobs didn't do anything wrong and I think it is useful to be able to distinguish.

The phrase that DOES irk me is "let go" vs. "fire". Now that is a weasel phrasing.

Many years ago I was sitting at a red light on a secondary road, where the primary cross road was idle. It seemed like you could solve this using a computer vision camera system that watched the primary road and when it was idle, would expedite the secondary road's green light.

This was long before computer vision was mature enough to do anything like that and I found out that instead, there are magnetic systems that can detect cars passing over - trivial hardware and software - and I concluded that my approach was just far too complicated and expensive.

Similarly, when I look at computers, I typically want the ML/AI system to operate on a structured data that is codified for computer use. But I guess the world is complicated enough and computers got fast enough that having an AI look at a computer screen and move/click a mouse makes sense.

Doctors aren't paid by the hour.

One doctor is one salary and one package of benefits. Two doctors is 2x that.

There is a limit how much satellites LEO/GEO can hold unless every satellite has perfect dodging system. Called as Kessler syndrome [1], and one estimate is around 70k satellites. So it is a race who can get the most satellites orbiting, because after a certain point, there is no "space" anymore, and anyone who tries to launch after that point, will be blamed for destroying the satellites of the others. Winner takes all.

[1]: https://en.wikipedia.org/wiki/Kessler_syndrome

Has anyone articulated a theory for what the profit model might actually look like for the big LLMs? In the .com era, the valuations were crazy, but people generally understood how you could eventually make money on all of this stuff.

If models are requiring larger and larger infrastructure buildouts, does anyone have a clear sense of what users will have to pay in order to make the businesses profitable?

How can the AI bubble burst in the public markets? It is circular investment within silicon valley. Even if AI proves nothing, overall the tech market is in the same spot where it started