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working on a toy car model in @extropic's new THRML so far i have managed to model the state of weekday traffic at 5pm in San Francisco

working on a toy car model in @extropic's new THRML so far i have managed to model the state of weekday traffic at 5pm in San Francisco

the distribution is anything but normal

avatar for snwy
snwy
Fri Oct 31 22:55:00
RT @a16zcrypto: You can find the full list here: https://t.co/F52TVobrNu

RT @a16zcrypto: You can find the full list here: https://t.co/F52TVobrNu

queen of non sequiturs. cmo @a16zcrypto. what’s old is new again. nft cat lady.

avatar for Kim Milosevich
Kim Milosevich
Fri Oct 31 22:52:08
RT @CJHandmer: Did you know that NASA's Orion program has spent over $30b in 20 years and still -hasn't flown people -has a fundamentally u…

RT @CJHandmer: Did you know that NASA's Orion program has spent over $30b in 20 years and still -hasn't flown people -has a fundamentally u…

investing @a16z // curating https://t.co/ssslqn6eo7

avatar for Ryan McEntush
Ryan McEntush
Fri Oct 31 22:46:59
😂😂

😂😂

building and betting on the internet https://t.co/QBXKab06be https://t.co/nFbi7lK9XY

avatar for digital_literacy
digital_literacy
Fri Oct 31 22:42:39
First fully ML-framework-free 3D Gaussian Splatting implementation in LichtFeld Studio. I’ve completed the migration of the full training pipeline to a custom CUDA-based tensor library. No PyTorch, no LibTorch, no autograd. Every gradient is implemented by hand, either through CUDA kernels or minimal abstractions on top. This makes it the first full training setup for 3D Gaussian Splatting with zero dependencies on existing ML frameworks. It’s not just about independence, it's about control! We now manage every byte of GPU memory, which opens the door to tighter optimization and finer performance tuning. The framework footprint is minimal, without pulling in gigabytes of ML runtime code that was never designed for real-time or graphics-driven applications. A few modules, such as the metrics and 3DGUT interfaces, are still being ported, and some operations are temporarily naïve, so performance is not yet on par with master. But this refactor lays the groundwork for: - A fully self-contained binary - Fine-grained memory optimization - Easier experimentation without the weight of an ML stack We’re getting close.

First fully ML-framework-free 3D Gaussian Splatting implementation in LichtFeld Studio. I’ve completed the migration of the full training pipeline to a custom CUDA-based tensor library. No PyTorch, no LibTorch, no autograd. Every gradient is implemented by hand, either through CUDA kernels or minimal abstractions on top. This makes it the first full training setup for 3D Gaussian Splatting with zero dependencies on existing ML frameworks. It’s not just about independence, it's about control! We now manage every byte of GPU memory, which opens the door to tighter optimization and finer performance tuning. The framework footprint is minimal, without pulling in gigabytes of ML runtime code that was never designed for real-time or graphics-driven applications. A few modules, such as the metrics and 3DGUT interfaces, are still being ported, and some operations are temporarily naïve, so performance is not yet on par with master. But this refactor lays the groundwork for: - A fully self-contained binary - Fine-grained memory optimization - Easier experimentation without the weight of an ML stack We’re getting close.

Your guide to radiance fields | Host of the podcast @ViewDependent | Founder and CEO of https://t.co/5MjtfpwEU3 | discord: https://t.co/lrl64WGvlD

avatar for MrNeRF
MrNeRF
Fri Oct 31 22:41:17
RT @marc_louvion: It almost crashed my MacBook.. Happy Halloween 🎃👻

RT @marc_louvion: It almost crashed my MacBook.. Happy Halloween 🎃👻

🧑‍💻 https://t.co/Y30jsaHwz9 $20K/m ⚡️ https://t.co/vatLDmi9UG $17K/m 📈 https://t.co/3EDxln5mdi $16K/m ⭐️ https://t.co/MZc8tG9xWi $8K/m 🧬 https://t.co/SfrVXVtmdA $.5K/m 🍜 https://t.co/r07EpGSYJ2 $0K/m 🧾 https://t.co/7olaOzV8Xd $0/m +18 https://t.co/4zCWHGJp1S

avatar for Marc Lou
Marc Lou
Fri Oct 31 22:41:02
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