

He looks from company money perspective. And I think AI is difficult to monetize. A google paper explained a long time ago that big company cannot easily have a huge competitive advantage because new techniques exists in the open source world to learn incrementally on top of costly models. Mainly you don’t need millions to make another good quality LLM.
That being said. LLM add some value, but as everything hyped to no end the real value is negligible comparatively to the « market expected value ».
I didn’t see Claude 4 Sonnet in the tests and this is the one I use. And it looks like about the same category as o4 mini from my experience.
It is a nice tool to have in my belt. But these LLM based agents are still very far from being able to do advanced and hard tasks. But to me it is probably more important to communicate and learn about the limitations about these tools to not lose tile instead of gaining it.
In fact, I am not even sure they are good enough to be used to really generate production-ready code. But they are nice for pre-reviewing, building simple scripts that don’t need to be highly reliable, analyse a project, ask specific questions etc… The game changer for me was to use Clojure-MCP. Having a REPL at disposal really enhance the quality of most answers.