On some level I feel like we aren't even really trying. This stuff is so damn dry, though.

(warning, I refuse to like math and address it on my own terms, proceed further at your own peril)

Started looking into exact integer matrix multiplication, wanted to use it for some differential bullshit to find whatever they call the magic numbers that simplify a lot of complicated work into virtually no work for suspension/drivetrain/grip simulations at scale

To my surprise rocm didn't even usefully accelerate it! I said there is no fuckin way a 7900XTX is only good for 0.5 TOPS when working with 64 bit integers. I knew RNS/CRT/GEMM was a thing which led me to this https://github.com/RIKEN-RCCS/GEMMul8. Nothing pisses me off more than CUDA having something ROCm doesn't. So I told the models to try and fill the moat in with concrete. Think I got up to almost 3 TOPS before I stopped, and there are some pretty absurd wins for int32/other shapes.

Here's the slop https://github.com/doublemover/RNS8, I haven't cleaned it up or anything.

Life has gotten in the way so I had to set it down, and fighting the air conditioning when its "95 feels like 107" and the sky is filled with smoke is... not cool. I will finish it after summer. The HotAisle guy is a legend and hooked it up with some credits so I will be able to do the same for CDNA3, it at least compiles and runs but it has not been optimized/tested much yet.

Started with ChatGPT 5.5 but it sucked. I'm not paying $200/mo to play reset bingo while they figure out their bugs, especially without 20x. They lit my last $50 on fire in like 20 minutes with no remediation past "keep paying and you'll get more resets". Don't sleep on Deepseek, V4 Pro was responsible for the biggest leaps and it cost all of $15. It's genuinely great. The only way I'd go back to a closed model is if it was completely free. It will be fun to see how much better models are in a few months.

Mathematicians still don't know the fastest way to multiply numbers