‹ BackHN Continuity

Thread

Intelligence per Watt: Measuring Intelligence Efficiency of Local AI

169 points · 65 comments · pythonic_hell

  1. jmiskovic · · focus · HN ↗
    Incredibly important research. We've reached the point where local LLMs are good enough! It takes less time for local model to take the first action on your task than it does for Claude to validate your login, put you into queue and start issuing the commands. Local models are persistent and 100% predictable unlike any cloud offering. It's better for the power system for the demand to be distributed. During the winter time the GPU also doubles as a 300W in-house heater. Not to mention avoiding personal data collection and re-selling.
    1. 01284a7e · · focus · HN ↗
      This is annoying but, can you point me to where to get started with local models? A repo, website, something?
      1. lowbloodsugar · · focus · HN ↗
        Ask Claude.ai. Tell it about your hardware. What you plan on doing. Can start with chat. Then ask it how to install Claude remote control on you system. Then it can work while you sleep. Now I have a solid local model that I use instead of Claude.
Open on Hacker News to reply ↗

Unofficial Hacker News client; not affiliated with Y Combinator.