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brulard
Joined 537 karma

  1. not sure what i'm looking at here...
  2. How about the rest of the resources? CPU/GPU? Would your work not be affected by inference running?
  3. If you have inference running on this new 128GB RAM Mac, wouldn't you still need another separate machine to do the manual work (like running IDE, browsers, toolchains, builders/bundlers etc.)? I can not imagine you will have any meaningful RAM available after LLM models are running.
  4. Exactly this. I've used Jenkins, Travis, CircleCI and all of them were so easy in comparison to the github actions runner mess.
  5. And time of the operator is $0 per hour as well
  6. Nice game. But the stars in the background were confusing and hard to distinguish between them and projectiles. That got me killed way too many times.
  7. I'm on a team like that and I see it happening in more and more companies around. Maybe "many" does a heavy lifting in the quoted text, but it is definitely happening.
  8. Why do you find "vibe coding" term dumb? It names a specific process. Do you have a better term for that?
  9. If you knew GraphQL, you may immediately see it - you ask for specific nested structure of the data, which can span many joins across different related collections. This is not the case with common REST API or CLI for example. And introspection is another good reason.
  10. so similar to Tauri?
  11. Using electron at least uses some UI primitives from chromium. Flutter has thrown away all the usability and robustness of existing components and just reimplemented everything. It absolutely is different from electron
  12. Many of the bugs have very low severity or appear to small minority of users under very specific conditions. Fixing these first might be quite bad use of your capacities. Like misaligned UI elements, etc. Critical bugs should be done immediately of course as a hotfix.
  13. Regarding hyperrogue, I've seen it mentioned multiple times as a fun game. I tried to play it but I had found no fun in it at all. The non-euclidean take is interesting, but it felt just like a demo of the weird-geometry engine, I've found no enjoyment in that. Graphics is rough, I've found no interesting items, enemies, mechanics or puzzles. Not sure if I just played it wrong or why my experience was different.
  14. I have the same experience as you. For me instructions in CLAUDE.md are followed almost always. On different projects, different CLAUDE.md files, some short, some long. No problem. When a specific instruction is skipped, I ask claude to emphasize it. It uses ALLCAPS, IMPORTANT!, etc., then it works 99% of the time. (Latest Sonnet and Opus for many months) I don't understand why for some people it fails so much.
  15. Beautiful piece of hardware. Thanks
  16. This is quite a narrow view of how the generation works. AI can extrapolate from the training set and explore new directions. It's not just cutting pieces and gluing together.
  17. I did not get the sentiment here on HN that AGI is right behind the next corner.
  18. Or swamp to be shorter
  19. That sounds intriguing. 7 layers - do you mean its one prompt composed of 7 parts, like different paragraphs for each aspect? How do you send bounding box info to banana? Does it understand something like that? What does claude add to that process? Makes your prompt more refined? Thanks
  20. I had a simple scenario in mind: Hide annoying "shorts" section from youtube. It nagged me I have to sign in. I expected to be able to create a script for myself locally. Why would that lead to spamming requests?

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