Here’s the thing from the skeptic perspective: This statement keeps getting made on a rolling basis. 6 months ago if I wasn’t using the life-changing, newest LLM at the time, I was also doing it wrong and being a luddite.
It creates a never ending treadmill of boy-who-cried-LLM. Why should I believe anything outlined in the article is transformative now when all the same vague claims about productivity increases were being made about the LLMs from 6 months ago which we now all agree are bad?
I don’t really know what would actually unseat this epistemic prior at this point for me.
In six months, I predict the author will again think the LLM products of 6 month ago (now) were actually not very useful and didn’t live up to the hype.
The top of SWE-bench Verified leaderboard was at around 20% in mid-2024, i.e. AI was failing at most tasks.
Now it's at 70%.
Clearly it's objectively better at tackling typical development tasks.
And it's not like it went from 2% to 7%.
The pressure for AI companies to release a new SOTA model is real, as the technology rapidly become commoditised. I think people have good reason to be skeptical of these benchmark results.