3 ms·

If anyone wishes to see the future. A fast LLM is quite eye-opening. I think chatjimmy uses Talaas' chips where models are hardcoded into the silicon. https://

• flyingjoe 3mo ago
  Thanks, I didn't know that one! Very impressive speed although quality seems very bad
  • msdz 3mo ago
    > although quality seems very bad The weights they “etched” into the FPGA card that’s used for the ChatJimmy demo are that of a Llama 3-something 8b model. The actually impressive and novel thing is that Taalas’ve managed to automate that process (clearly – nobody transforms 8 billion numbers into a physical representation by hand). So now, they can work on scaling this process up, and with low enough lead times (I’ll be convinced they have inside connections to TSMC if they can actually deliver on the promised mere 3-4 months delay), will be able to offer 30-100b+ parameter models under half a year after they’re released, at thousands of tokens per second while probably drawing less wattage (per token, not sure about overall). Exciting times ahead, folks.
    • mikestorrent 3mo ago
      At some point we're going to have these chips for a couple bucks in kids toys
• calgoo 3mo ago
  Yea, is almost "scary fast" in a sense... the amount of compute you can do in parallel one one of those chips is amazing. hopefully they get their next chip completed as that will be a lot more useful for general workloads. I think the current one is based on llama3. *corrected llama version to 3