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
My own take on AI Safety Classic arguments is I've become convinced by o3/Sonnet 3.7 that the alignment is very easy hypothesis is looking a lot shakier than it used to be, and I suspect future capabilities progress is likely to be at best neutral, and probably worse for alignment being very easy.
I do think you can still remain optimistic based on other cases, but a pretty core crux is I think alignment does need to be solved if AIs are able to automate the economy, and this is pretty robust to variations on what happens with AI.
The big reason for this is that once your labor is valueless, but your land/capital isn't, you have fundamentally knocked out a load-bearing pillar of the argument that expropriation is less useful than trade.
This is to a first approximation why we do not trade with most non-human species, rather than enslaving/killing them.
(For farm animals, their labor is useful, but the stuff lots of humans want from animals fundamentally requires expropriation/violating farm animal property rights)
A good scenario for what happens if we fail is at minimum the intelligence curse scenario elaborated on by Rudolf Lane and Luke Drago below:
https://intelligence-curse.ai/defining/