[rmunn]

And, as I pointed out elsewhere, the difference I was pointing out was an economic difference. You keep on ignoring that fact and thinking I'm talking about ethics, but I'm not. I'm saying the difference is between spending trillions on training from raw data vs. spending billions on distilling that trained-from-raw-data model.

[lelanthran]

> And, as I pointed out elsewhere, the difference I was pointing out was an economic difference. You keep on ignoring that fact and thinking I'm talking about ethics, but I'm not.

I am talking about money now;

> . I'm saying the difference is between spending trillions on training from raw data vs. spending billions on distilling that trained-from-raw-data model.

Firstly, they didn't spend trillions on training.

I am pointing out that literal trillions were spent to assemble the data that the AI corps then spent dozens of billions training from.

You ignored that fact completely.

[rmunn]

> Firstly, they didn't spend trillions on training.

Then please argue with the guy who said they did, the guy who goes by richardw and whose comment I was responding to in the first place. He's the one who said "If the US companies need trillions to barely beat Chinese companies spending billions, despite a multi year head start..." and, to the best of my knowledge, you haven't replied to him at all. Instead, you have consistently replied to me, arguing points I'm not discussing, not TRYING to discuss, and arguing with me about points that somebody else made. As I told you in a different comment, PLEASE read more carefully in the future.

I am sick and tired of talking about this by now. I no longer care if you have a good point or not, you have exhausted my supply of good will. Good bye. Feel free to have the last word, you're the only one who cares by now.