Switching to Release mode, the thing now refuses to go below 60FPS even with 80 such meshes, even when I switch to battery mode on my laptop! Good lesson as I am now going to optimize things in Debug mode at "low power" profiles so that the real thing has large safety factors built-in. #gamedev

...into them motivated by human reasoning. It is not clear whether the training of these models would have led to CoT reasoning being "discovered" spontaneously by these models.

Repeat after me: Transformers are just glorified statistical distribution learners and still represent memory rather than logic. What they have demonstrated that a lot of what we do with text and images might be similar to this. But even the "reasoning" models have gating criteria built...

My hacky solution for this has been to generate single-pixel dummy textures even for meshes that do not need them and slotting them in manually (eg, an object may not need an emissive or occlusion texture but the shader has those samplers declared). Not a huge performance/memory cost but ugly.

And, as is the case for most shader bugs, zero feedback from the GPU, especially my NVidia one. Surprisingly, it was on an Apple M4 Pro GPU that I got some feedback from the driver alerting me to the root cause (ie, the shader expecting a slotted texture because a sampler uniform was declared).

Added Apple Neural engine support as well through python bindings to whisper.cpp (via pywhispercpp). Feels like it helps battery life more as compared to using the MPS backend on pytorch. #pytorch #whispercpp

Just saw on HN that ffmpeg added whisper support! Darn it! But kudos to them!: code.ffmpeg.org/FFmpeg/FFmpe...

(correction: meant Anvil, not Snowdrop)

Also gotta say that a large focus this year seems to have been, unsurprisingly, on generative AI. Mixed feelings here but, given some of the things I saw, I'm increasingly accepting of GenAI as a productivity amplifier. Its percolation into workflows is inevitable, in any case. #SIGGRAPH