Alex Wissner-Gross

I think we're in the middle of it right now.

It already happened.

I think we achieved artificial general intelligence at the very latest by the summer of 2020 when Language Models or Few Shot Learners was published by OpenAI.

And I don't think the singularity is a single point in time.

I've argued that it's more of an extended interval in time, and we're in the middle of it right now.

The idea of recursive self-improvement is that AI develops better AI.

This is a notion that goes all the way back to I.J.

Goode early in the 20th century and then was repackaged, repopularized by Werner Wenge as the notion of a technological singularity and then fully popularized by Ray Kurzweil and then Peter Diamandis and myself have been running with the concept.

The notion of intelligent systems being able to build smarter versions of themselves is at the very core of the notion of an intelligence explosion or technological singularity.

And even in the past few months, we've seen the frontier AI labs, all the very public

And announce that the latest versions of the GPT model series and Claude and other models are all intimately now involved with the development of their successors.

So intelligence building, smarter intelligence, that's the recursive self-improvement notion at the core of the singularity.

And we're there.

Are you sure?

By the way, there are a lot of people who are convinced that I am an LLM.

Well, there are a few questions there.

Do LLMs have value?

Yes, absolutely.

Enormous value.

I call it the innermost loop, this sort of broader notion of recursive self-improvement that includes LLMs, but also includes robots and energy and chip fabrication facilities.