“Ask the AI a question about something that you are an expert in. Maybe it's knitting, maybe it's video games, I don't know. Nearly always the first answer you get is pretty good, and then ask it for more details. And as you go down that rabbit hole, it'll get worse and inaccurate. Okay. And then ask it a question about something you don't know anything about and do the same thing. And notice that as you go down the rabbit hole, you think it looks okay. And then think about that carefully.”

But there's these really interesting questions about what level of control do you need over your AI systems. And as a big enterprise, are you going to license one of the public systems? Are you going to build your own on an open source or open weight, which are not the same thing system? And then you have to worry about, well, what if that system gets banned in my jurisdiction? So you're in the U.S., you decide to use a Chinese model, it gets banned, or vice versa, right? So if you're a global organization, you have to think pretty carefully about what your AI Fails looks like because you could get yourself in all sorts of trouble, both on the output side and on the input side, if you don't understand the regulatory nightmares that we're dealing with. And I should close this by saying I am not a lawyer and you should definitely talk to your IP lawyers about this.