Object detection on 3D Gaussian Splats.
Accurate bounding boxes per detection, runs locally. @nigelhartmanxr really cooked here
@SensAIHackademy is hosting a lecture with @XRarchitect from @theworldlabs on the 8th on this:
https://t.co/wOWO17Pw5G
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: https://t.co/CDSQ8HpZoc
1/n I topped the HuggingFace Open LLM Leaderboard without changing a single weight.
No training. No merging. No gradient descent.
I duplicated 7 middle layers of Qwen2-72B and stitched it back together.
This is the story of LLM Neuroanatomy 🧵
It was great to see our name amongst the other “AI Native” companies during @Nvidia’s #GTC keynote. NVIDIA Isaac™ Lab helps us train reinforcement learning policies that enable the UMV to drive, jump, flip, and hop like a pro!
Why are devs so 'pro-AI' while artists are so 'anti'? 🗣️
It feels like coders are leaning into the tech to work faster, but creators are genuinely angry and frustrated by it.
Is the difference just that programmers are used to constant change, or is the impact on their jobs just fundamentally different?
Would love to hear some insights on why these two groups are reacting so differently!