AI

While LLMs are designed to emulate human-like responses, this does not mean that this analogy extends to the underlying cognition giving rise to those responses

So much of of the existing music, film and TV culture — using 20th century technology — is cookie cutter, lifeless and uninspiring.

The democratization of the AI tools means even more people can pump out content, so context will matter more than ever in order to give meaning to the work.

Quanta interviewed 19 current and former NLP researchers to tell that story. From experts to students, tenured academics to startup founders, they describe a series of moments — dawning realizations, elated encounters and at least one “existential crisis” — that changed their world. And ours.

What it produces is something like hypomania: a state where your productive capacity genuinely increases. You’re not imagining that you’re getting more done, you actually are, but your evaluative faculty is unaccustomed to this mode of creation. You lose the ability to distinguish between “this is good” and “I feel good making this.” Everything... See more

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.

The flex isn’t what you’ve accomplished anymore. It’s what’s working while you’re sitting here not working.

Even the regulatory arena, where Altman publicly champions AI oversight, bears the fingerprints of double-dealing. While testifying in favor of federal regulation, OpenAI lobbied behind the scenes to weaken the EU AI Act and is now advocating for federal preemption of state AI safety laws in the US. Altman has called the very regulatory structure... See more