Indeed,now it is sweet spot for senior engineers: smart enough to accelerate, dumb enough not to fully autonomously act.But it won’t last long…
HN user
revv00
i bet you've contributed a lot of training trajectories for those AI's.
Cool, seems need some deduplication. Maybe when you turn to the new page, some items fall back.
JuiceFS for posix but lack of versioning
Agreed. This maps directly to the white-box vs black-box testing distinction: either you own your priors and trace the full data lineage from training through validation, or you're relying on an opaque validation set of unknown provenance. And that's before factoring in the organizational politics.
It doesn't work macbook pro(Intel Sonoma 14.4.1), any thoughts? app icon is a forbidden icon.
Not a space user, command+tab solve most of my problem. But will give it a try.
Great work! What is the difference between writing a shell script to solve "cloud setup, ETL pipelines, orchestration, cost monitoring", and using a local app?
Interesting paper, it reminds me how we human improving our math problem solving capability. But those efficient guys use few problems(and reasoning trajectories) to build their solving skills, how to build this effective human training process into LLM's?
Indeed very insightful findings. Just wonder how it will affect visual reason tasks and other reasoning tasks.
Orz! A kindly reminder for rebooting.
Even 87k is a huge number, is it due to some selection bias?
The least evil giant might be Yahoo!, although nowadays no one uses their service due to their inability product and tech.