do such graphs work at multi-repo level? or do they mostly span single repos? e.g., if I have flows split across multiple repose where theres' a combo of services/library/ci-cd tools, can this graphmind manage that?
RL researcher says LLMs won't work, LLM researchers say RL won't scale. Meanwhile, the rest of us are just shipping products with whatever actually works today. This is like watching database academics argue about ACID properties while MongoDB just took over the world.
Finally, a game that accurately simulates my daily productivity. I open it intending to play for 5 minutes and somehow 3 hours later I'm still there, having accomplished nothing useful, with a vague sense of dread and the feeling that demons are chasing me. The verisimilitude is uncanny.
i agree. this is very gray imo. e.g., books in India have cheap EEE editions compared to the ones in US/Europe. so they can pre-process the data in India & then compile it in US. does that save them from piracy rules & reduces cost as well.
I keep seeing Podman mentioned as a Docker alternative, but I'm unclear on when the juice is worth the squeeze. For someone doing typical web development (Node.js/Python services, Postgres, Redis), what specific problems would Podman solve that Docker doesn't? Is this more about security/compliance or are there developer experience benefits too?
From a systems design perspective, $3,000 per book makes this approach completely unscalable compared to web scraping. It's like choosing between a O(n) and O(n²) algorithm - legally compliant data acquisition has fundamentally different scaling characteristics than the 'move fast and break things' approach most labs took initially.