an agent in every cup

This paper studies the impact of artificial intelligence on innovation, exploiting the randomized introduction of a new materials discovery technology to 1,018 scientists in the R&D lab of a large U.S. firm. AI-assisted researchers discover 44% more materials, resulting in a 39% increase in patent filings and a 17% rise in downstream product... See more

I think it’s likely that soon all computer users will have the ability to develop small software tools from scratch, and to describe modifications they’d like made to software they’re already using. In other words, LLMs will represent a step change in tool support for end-user programming: the ability of normal people to fully harness the general... See more

It’s becoming increasingly clear that the vast majority of useful AI is not about creating an artificial human personality. It is about creating tools that are endowed with intelligence, and capable of performing far more complex tasks than before.

By contrast, the definition I proposed—AGI is achieved when it makes economic sense to keep your agent running continuously—is a binary, irreversible, and immovable threshold: Once we are running our agents 24/7, we’ve hit it, and there’s no going back. (After all, we can’t uninvent it.)

I like this definition because in order to meet it we will... See more