AI

“Intelligence is the new transistor,” concluded Schiffmann. “It’s a fundamental primitive that you’ll build things on, [and it] will enable all kinds of good things and all kinds of bad things... The goal is just to enable the good over the bad.”

“Attribution shouldn’t start when the song is done — it should start when the model starts learning,” says Sean Power, the company’s cofounder. “We’re trying to quantify creative influence, not just catch copies.”

recent research offers a reassuring perspective—that AI-delivered therapeutic interventions have reached a level of sophistication such that they’re indistinguishable from human-written therapeutic responses.

Subsequent research by Gerstgrasser and colleagues at Stanford and MIT (arXiv:2404.01413) provides important qualification: model collapse is not inevitable if synthetic data accumulates alongside real data rather than replacing it. The pathological scenario assumes complete substitution—thoughtful data curation can prevent the worst outcomes.

For the language model, time is language, and language is time. This, for me, is the most hellish and horrifying realization.

We made a world out of language alone, and we abandoned them to it.

Unlike humans, AI can’t flexibly navigate changing environments yet because it does not have a notion of its “self” and what it can do with it.

To evoke in oneself a feeling one has once experienced, and having evoked it in oneself, then, by means of movements, lines, colors, sounds, or forms expressed in words, so to transmit that feeling that others may experience the same feeling, this is the activity of Art.