| To add to this, for all the claims of 100x, can anyone cite an example of someone actually pushing 100x in a domain that isn’t “translate or port tool/library/whatever from language A to language B”? Because that’s literally what LLMs were invented for and that’s not a normal part of work. I will fully admit we have examples of people converting Postgres to Rust, HL2 to wasm, etc. but that’s all porting. The code was there, we’re just translating it, warts and original-languagisms and all. But even if you’re making a bunch of tiny tools and chaining them together, I can’t see more than a 2-3x sustained increase. We also have artists that can make games now, and that 0-1 transition sure feels like 100x and maybe it is; but the problem of “starting feels impossible and the barrier is too high” to “I can now actually do something” is not where the 100x developer idea comes from either. And that 0-1 change asymptotes really quickly to, again, maybe a sustained 2-3x once the artist understands the domain. So, does the 100x person, who isn’t a novice and who isn’t literally translating existing code from A to B, exist? What are some real world examples? Edit: I will concede one area: the investigation stage. E.g. “Does this code have an exploit?” I would argue that’s not generating new output (yet), but it is a great deal of work that is simplified and sped up. It’s also where most of my own use of AI speeds me up considerably as a developer. |