both OpenAI and Microsoft are probing whether DeepSeek used OpenAI’s application programming interface (API) without permission to train its own models on the output of OpenAI’s systems, an approach referred to as distillation.

That would definitely show up in the quality of responses. Surely they have better and cheaper training sources…

“But if I don’t work with and promote Nazis, I will make less money! How will the Nazis watch my ads?”

As we just lost any sort of moral high ground, ok. 2 years ago maybe I’d be worried. 9 years ago I’d definitely have been worried. Today, the enemy of my enemy is my ally.

Keystroke patterns and rhythms is above and beyond, though. That’s not remotely necessary and the kind of thing that can only be used to track an individual across multiple platforms and attempts at anonymity. I don’t know how effective it is at that, but that is the sole purpose unless maybe they are training a better autocorrect tool and think that would be helpful.

At any rate, that’s the point where I noped out. They are completely honest about putting every effort into identifying users and associating them with real identity. Such a system would be quite capable of de-anonymizing marketing profiles, health data, etc. by correlating vast amounts of data.