If an engineer paid $150,000 a year reviews some code manually for about 30 minutes, the cost of their time is about $36.

You'd be surprised to learn that ICE is quite popular. For example 73% of Republicans approve of the job ICE is doing --- see page 14 of this NPR/PBS/Marist poll: https://maristpoll.marist.edu/wp-content/uploads/2026/02/NPR...

Most of the (Western?) world is covered in cameras, and I bet the video feeds will soon be feed into the training pipelines. And then as soon as AI is put in control of things like traffic lights, self-driving cars, logistics (e.g., delivery scheduling), then the AI will have a complete loop from which to learn: try something in the real world ("shorten this traffic light by 15s"), observe result ("traffic backs up Wednesdays at 8am"), repeat.

Bank customers: "You don't need to know anything about me."

Also bank customers: "You need to stop anyone who is not me from accessing my money."

Plus why should I be inconvenienced by not being able to watch my TikToks if my phone was hacked? On the other hand, I expect my important apps to apply a higher level of validation before they accept random inputs.

   ... once I and my family get paid appropriate compensation...

Isn't that a single vendor (or two)? How is this not lock-in?

You won't have to wait for it or observe it at all, since they'll do it while you sleep.

It does not matter whether LLMs do any thinking, or "thinking." The only thing that matters is whether they produce similar results to human thinking, even if it's through a different process (or no process at all). When a company decides to deploy an AI-powered customer service representative, it is not because the AI bot goes through the same thinking process as a human when answering a customer's request.