Three Epoch employees – Matthew Barnett, Tamay Besiroglu, and Ege Erdil – have left to launch Mechanize, an AI startup aiming for broad automation of ordinary labour:
Today we’re announcing Mechanize, a startup focused on developing virtual work environments, benchmarks, and training data that will enable the full automation of the economy.
We will achieve this by creating simulated environments and evaluations that capture the full scope of what people do at their jobs. ...
Currently, AI models have serious shortcomings that render most of this enormous value out of reach. They are unreliable, lack robust long-context capabilities, struggle with agency and multimodality, and can’t execute long-term plans without going off the rails.
To overcome these limitations, Mechanize will produce the data and evals necessary for comprehensively automating work. Our digital environments will act as practical simulations of real-world work scenarios, enabling agents to learn useful abilities through RL. ...
The explosive economic growth likely to result from completely automating labor could generate vast abundance, much higher standards of living, and new goods and services that we can’t even imagine today. Our vision is to realize this potential as soon as possible.
I started a new company with @egeerdil2 and @tamaybes that's focused on automating the whole economy. We're taking a big bet on our view that the main value of AI will come from broad automation rather than from "geniuses in a data center".
The Mechanize website is scant on detail. It seems broadly bad that the alumni from a safety-focused AI org have left to form a company which accelerates AI timelines (and presumably is based on/uses evals built at Epoch).
It seems noteworthy that Epoch AI retweeted the announcement, wishing the departing founders best of luck – which feels like a tacit endorsement of the move.
Habryka wonders whether payment would have had to be given to Epoch for use of their benchmarks suite.
Links
- Official Twitter announcement
- See also this shortform on LessWrong
This isn't just a social thing, it's also response to a lot of changes in AI timelines over the past ten years. Back then a lot of us had views like "most experts think powerful AI is far off, I'm not going to sink a bunch of time into how it might affect my various options for doing good", but as expert views have shifted that makes less sense. While "don’t think much about AGI because global poverty seems a lot more important" is still a reasonable position to hold (ex: people who think we can't productively influence how AI goes and so we should focus on doing as much good as we can in areas we can affect), I think it requires a good bit more reasoning and thought than it did ten years ago.
(On the other hand, I see "only care about people who are either alive today or who will be born in the next 100 years" as still within the range of common EA views (ex).)