> I work on 3D/4D math in F#. As part of the testing strategy for algorithms, I've set up a custom agent with an F# script that instruments Roslyn to find FP and FP-in-loop hotspots across the codebase.
I don't know if there is an equivalent in Roslyn, but in Julia you can have the agent inspect the LLVM output to surface problems in hot loops.
JAX is designed from the start to fit well with systolic arrays (TPUs, Nvidia's tensor cores, etc), which are extremely energy-efficient. WebGL won't be the tool that connects it on the web, but the generation after WebGPU will.
1) The way to manufacture things cheaply is to do it at scale, and Neo has that in spades.
2) They will generate more profits than the hardware itself. You're not counting services and ecosystem. Now you got a new matching iPhone to go with your Neo, and an iWatch, an iPad, an iPencil...
1) use a running REPL session 2) ignore pre-compilation time (it will kill the running process, mistaking it as stuck...)
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