As for the prospect that AI will enable business users to do more with fewer humans in the office or on the factory floor, the technology generates such frequent errors that users may need to add workers just to double-check the bots’ output.

And here we were worrying about being out of work...

I have so far seen two working AI applications that actually makes sense, both in a hospital setting:

1. Assisting oncologists in reading cancer images. Still the oncologists that makes the call, but it seems to be of use to them.
2. Creating a first draft when transcribing dictated notes. Listening and correcting is apparently faster for most people than listening and writing from scratch.

These two are nifty, but it doesn't make a multi billion dollar industry.

In other words the bubble is bursting and the value / waste ratio looks extremely low.

Say what you want about the Tulip bubble, but at least tulips are pretty.

The bill mandates safety testing of advanced AI models and the imposition of “guardrails” to ensure they can’t slip out of the control of their developers or users and can’t be employed to create “biological, chemical, and nuclear weapons, as well as weapons with cyber-offensive capabilities.” It’s been endorsed by some AI developers but condemned by others who assert that its constraints will drive AI developers out of California.

Man, if I can't even build homemade nuclear weapons, what CAN I do? That's it, I'm moving to Nevada!