GreenBeanMachineAI Use at Work Is Causing "Brain Fry," Researchers Find, Especially Among High Performers
“My thinking wasn’t broken, just noisy — like mental static,” the senior manager continued. “What finally snapped me out of it was realizing I was working harder to manage the tools than to actually solve the problem.”
Omg constantly fact checking and tweaking the lying machine is actually slower than just thinking. Who would have guessed?
This is exactly the kinda thing keeping me away from so-called “modern” languages. Too many tools and nonsense to manage ; I want to program the computer, not “orchestrate a build pipeline” with 10+ different tools running on different machines, doing some nonsense with their own bespoke syntax and quirks…
It’s modern javascript/typescript you’re talking about, isn’t it?
They’re an edge case IMO, and largely the issue is actually modernizing old languages. If you take something like Go or Rust as an example for a modern language, it’s actually nice because the tooling is standardized for the language. In particular, the dependency management is built into the standard tooling.
Now you can always make it more complex by doing things like including docker in your build pipeline and maybe even creating pipelines that automatically deploy to kubernetes on a successful build… But all that is completely optional for like 99% of scenarios.