kaarelson

3 ms·

1. 1.▲
   by kaarelson 14d ago

   thanks, noted for next time!
2. 2.▲
   by kaarelson 14d ago

   Hi, I optimized a world model, Lingbot-World 2.0 1.3B, to run with real-time 16ps on an RTX 5090. It's 2.7x faster than Robbyant (Alibaba's lab), 2.5x vs SGlang, and 1.9x vs Nvidia FlashDreams engine. The drawback is that the reso
3. 3.▲
   Show HN: LingBot-World 2.0 (1.3B) running at 16 FPS on one RTX 5090(github.com)

   4 points by kaarelson 14d ago|2 comments
4. 4.▲
   by kaarelson 20d ago

   I made a fruit fly connectome that Google and Janelia published last week play Super Mario Bros World 1-1 from 1985. It uses simulated 166,700 neurons and 25.6 million synapses from the MaleCNS v1.0 dataset. I fed the game pixels as input t
5. 5.▲
   Show HN: A fruit fly connectome playing Super Mario Bros at 60 FPS(kaarelkaarelson.github.io)

   3 points by kaarelson 20d ago|4 comments
6. 6.▲
   by kaarelson 21d ago

   Correct, the line is not fitted to n=27 data points. It simply connects the highest params size between 2023 and 2026. To clarify, I wouldn't expect traditional research groups to pre-train anything >3B params WM, because this can&#
7. 7.▲
   Open-weights world models' parameter size doubles every ~6 months(twitter.com)

   16 points by kaarelson 21d ago|8 comments