Launch HN: General Instinct (YC P26) – Frontier models on edge devices

13 points | by guanming0717 1 hour ago

3 comments

  • rohansood15 16 minutes ago

    Have you benchmarked against other 3-bit dynamic quants like Unsloth? I am sorry but this framing against a full precision, newer, smaller MoE just seems misleading. Also, Gemma-4-26B-A4B is not the SOTA for edge. Even at launch, that would be the 31B.

  • XenophileJKO 22 minutes ago

    I'm still kind of surprised that people are targeting edge deployment of MoE models. By definition they optimize for computation cost at the expense of memory efficiency. We generally need the opposite on the edge.

    I'm hoping to see more work in the other direction with cyclic/looped transformers and other memory dense approaches.

    • VikRubenfeld 1 hour ago

      You've likely heard about this - he'd probably like to talk to you and might potentially give you some good PR.

      https://www.youtube.com/watch?v=rAzT5lcezPs&t=467s

      • smokel 27 minutes ago

        For those too lazy to watch someone talk on video for ages to make a point:

        The link is to a famous YouTuber called PewDiePie and he uses a local LLM to parse his email, to save time with that. They have an autoreply system and get notified about urgent matters.

        • guanming0717 57 minutes ago

          Thanks for sharing! I'd love to chat with him. Would you be open to introducing us? :)