cataPhil

6 ms·

1. 1.▲
   by cataPhil 2mo ago

   you should do that too! the goal is not to replace the game but to foster research on these method, and hopefully apply them to data-constrained settings like robotics
2. 2.▲
   Show HN: Melodjinn v0.1 – Adapting DeepMind's Genie world model for music(matthieulc.com)

   2 points by cataPhil 9mo ago|0 comments
3. 3.▲
   Show HN: Shoggoth Mini – A soft tentacle robot powered by GPT-4o and RL(matthieulc.com)

   610 points by cataPhil 1y ago|107 comments
4. 4.▲
   by cataPhil 2y ago

   That's correct. Plus it also adds a layer of interaction that's pretty fun, kind of like a wand.
5. 5.▲
   by cataPhil 2y ago

   Love it thanks, will look into it!
6. 6.▲
   by cataPhil 2y ago

   That's right, sorry for not explaining further in the post! The cardboard was so thin than neither wood nor metal drill bits made a clean enough cut.
7. 7.▲
   by cataPhil 2y ago

   These are great ideas thank you!
8. 8.▲
   Show HN: Wall-mounted diffusion mirror that turns reflections into paintings(matthieulc.com)

   472 points by cataPhil 2y ago|123 comments
9. 9.▲
   by cataPhil 2y ago

   Thanks! I will probably do that this weekend
10. 10.▲
    by cataPhil 2y ago

    Thanks! I highly recommend the book Programming Massively Parallel Processors
11. 11.▲
    by cataPhil 2y ago

    Hi :) Yes it's in the post url or here: https://github.com/mlecauchois/micrograd-cuda
12. 12.▲
    Micrograd-CUDA: adapting Karpathy's tiny autodiff engine for GPU acceleration(github.com)

    178 points by cataPhil 2y ago|13 comments
13. 13.▲
    by cataPhil 2y ago

    I recently decided to turbo-teach myself basic cuda with a proper project. I really enjoyed Karpathy’s micrograd ( https://github.com/karpathy/micrograd ), so I extended it with cuda kernels and 2D tensor logic. It’s a b
14. 14.▲
    Show HN: Diffusing new worlds from Google street view(panoramai.xyz)

    3 points by cataPhil 3y ago|0 comments