4 ms·

I run local models on Mac studios and they are more than capable. Don’t spread fud.

• bottlepalm 7mo ago
  You're spreading fud. There's nothing you can run locally that's on par with the speed/intelligence of a SOTA model.
  • 3836293648 7mo ago
    You may be correct about the level of models you can actually run on consumer hardware, but it's not fud and you're being needlessly aggressive here.
  • CamperBob2 7mo ago
    Incorrect as of a couple of days ago, when Qwen 3.5 came out. It's a GPT 5-class model that you can run at full strength on a small DGX Spark or Mac cluster, and it still works pretty well after quantization.
• deleted 7mo ago
  [deleted]
• xpe 7mo ago
  My take on the parent (^) and grandparent (^^): >> Local AI right now is a toy in comparison. Charitable interpretation: Local AI (unclear; maybe gpt-oss-120b) isn't nearly as good as SoTA (unstated; perhaps Claude Opus 4.6). Unstated use case(s). > I run local models on Mac studios and they are more than capable. Don't spread fud. Charitable interpretation: On their Mac studio (could be a cluster or single machine: unclear), local models (unclear; maybe gpt-oss-120b, maybe not) are capable for their needs. Unstated use case(s). / The "Don't spread fud." advocates for accurate information, which is a useful goal in general. However, it was uncharitable and brusque. An alternative approach would have been to ask a clarification question. > Please respond to the strongest plausible interpretation of what someone says, not a weaker one that's easier to criticize. Assume good faith. - HN Guidelines I promise I wrote this by hand. If you confidently thought otherwise, then I would kindly ask you to read my about page.