8 comments

  • txrx0000 5 minutes ago
    It pays off instantly, because OpenAI/Anthropic can no longer see what I'm doing and that's worth a lot of money to me. If I am offloading some of my thought processes to a machine, I want to own that machine. Otherwise, it's like if someone else owns a part of my mind and has a backdoor into my mind.
  • shadowpho 1 minute ago
    I like this calculator but it’s really wrong at least for dgx spark. I have one and I get 4x the tokens/s .
  • hyperhello 11 minutes ago
    I doubt it will ever be cost effective for the foreseeable future. The AI companies have astonishing amounts of compute and they’re effectively dumping it on the market.
    • gruez 2 minutes ago
      "If they are selling it for less than it cost to make, buy as much as you can."

      -- Warren Buffett

  • jrflo 10 minutes ago
    43 years to break even on Qwen 3.8 at 25% the speed of the API, lol. I like the idea of local models for really small tasks like automation/toolcalling, but it will probably never make sense for coding. I tried them and it was just excruciating compared to what you get for $100 a month from a subscription.
  • mcone 6 minutes ago
    The idea that you need a new machine is pretty ridiculous. I bought a used HP Omen with a 3090 last month for $2k. 57t/s with Qwen 3.8.
  • ProjectArcturis 7 minutes ago
    Local LLMs are not really about saving money, they're about autonomy. Choose the exact model you want, fine-tune it if you want, and no one can take it away from you.
  • itake 10 minutes ago
    I have a home server running vibed applications. VPS host would cost $25/mo or $300/yr.

    Mac mini can also build iOS applications. I think if you’re a mobile dev, you can have concurrent builds for your agents instead of everyone waiting on a single machine to finish.

  • poincareball 6 minutes ago
    [dead]