Cognition CEO Scott Wu discusses engineering productivity growth and output acceleration using AI software engineering tools.
Opinion
Wu: AI will be capable of performing all pure human knowledge work
“I've always felt that there's, in terms of just pure knowledge work, there's, there is nothing that humans do that AIs can't do, you know, partly because Humans are, humans, you know, our brains are just computers, you know, like the AIs are too, right?”
Prediction Not checkable as stated
Wu: Nearly all software engineers will use coding agents within three years
“The rough answer for, you know, two, three years from now is roughly every software engineer in the world, and probably a lot more than all the Just the software engineers because I think a lot more people will be able to produce code and produce products and …”
Insight
Wu: Reinforcement learning can solve basically any clearly defined benchmark
“We're kind of getting to the point where you can solve basically any benchmark, right? Because what does it mean to have a benchmark? It means you've already defined the task. You've clarified what success or failure looks like. You've given a bunch of example…”
Prediction Not checkable as stated
Wu: AI will solve all intelligence problems, but not in six months
“I really don't think that there are, like, intelligence problems that AI will not solve in the long term. I just don't think of that as, like, it's gonna be all over in six months.”
Prediction Not checkable as stated
Scott Wu: Single-use and self-driving software will exist
“Like single use software is going to exist. Like self-driving software is going to exist, right?”
Assertion Not checkable as stated
Wu: Cognition writes roughly 95% of its code using Devin
“Obviously we use a ton of Devon to build Devon. In fact, we almost exclusively use Devon to build Devon at this point, like, 95% of the code or something's written by Devon.”