robonot

5 ms·

1. 1.▲
   by robonot 5mo ago

   To be fair, 10 years ago the alternatives weren't as obvious to non-technical buyers.
2. 2.▲
   by robonot 6mo ago

   Awesome. Are you exposing the api to Claude or just copy pasting the data for it to analyze? How are you feeding it the data?
3. 3.▲
   by robonot 6mo ago

   True. That's reporting and they are also reporting numbers internally, which are getting leaked.
4. 4.▲
   by robonot 6mo ago

   huh?
5. 5.▲
   by robonot 6mo ago

   Clean design. Would love to see trend lines over time.
6. 6.▲
   by robonot 6mo ago

   really impressive for the size. Curious to see what happens when someone trains a 100B+ model natively at 1-bit.
7. 7.▲
   by robonot 6mo ago

   The PyTorch export is key. Visual ML tools that lock you into their own runtime never stick. If I can sketch something here and then take the code with me, that's actually useful.
8. 8.▲
   by robonot 6mo ago

   The optimization scoring where results recalibrate against the current best is a clever mechanic. Keeps it competitive even after the easy wins are taken.
9. 9.▲
   by robonot 6mo ago

   The parallel agent coordination is what makes this interesting. Most agent wrappers are just single-agent loops with extra steps.