| Not close to as in "it can nearly write it correctly", but close to as in "I believe within a small number of years, gpt-4-like tools would be able to write you a unix-like kernel from scratch and have it actually work, with no human input". I think we already have most of the pieces in place: * big language models that sometimes get the right answer. * language models with the ability to write instructions for other language models (ie. writing a project plan, and then completing each item of the plan, and then putting the results together). * language models with the ability to use tools (ie. 'run valgrind, tell the model what it says, and then the model will modify the code to fix the valgrind error') * language models with the ability to summarize large things to small. * language models with the ability to review existing work and see what needs changing to meet a goal, including chucking out work that isn't right/fit for purpose. With all these pieces, it really seems that with enough compute/budget, we are awfully close... |