

Mercor has ~$1.5B revenue so napkin math would put at 10-20 million contractor hours per year. I’m not very fast but I can type out about a hundred lines an hour fairly regularly, especially boring code like unit tests, data cleaning or OO design patterns. LoC is a bad metric but still. For comparison, Linux and Chrome are ~40M LoC each, AAA games are 3-10M LoC.
And to your point, they can do data augmentation by rotating nodes in the ASTs, changing variable names, and other tricks to make it even fatter.
For comparison, the Software Heritage Archive of all open source is ~2 Petabytes / ~30B files. But not sure how much of it is AI slop at this point, or for dead languages / platforms.







I’d have guessed it was better for a training set to have lots of different mostly-known-good solutions to common problems and good visibility of the solution space, rather than one linux-sized program, even with the same bug rate between the two. I’d imagine leetcode is monetizing their user generated code this way too. IDK.
For that particular experiment, I’d also point you towards some of the 90s literature on “genetic programming”, because you could reuse most of your scaffolding for it. No GPU req’d, ought to learn it fairly quickly.