NVIDIA's AI Just Built an ENTIRE Deep Learning Framework By Itself скачать в хорошем качестве

NVIDIA's AI Just Built an ENTIRE Deep Learning Framework By Itself

NVIDIA just proved AI agents can build entire software systems from scratch—and the results are both amazing and terrifying. VibeTensor is a fully functional deep learning framework with 60,000 lines of C++ and CUDA code, written entirely by AI coding agents in just 2 months. No human reviewed a single code change. The agents built everything: tensor operations, automatic differentiation, memory managers, CUDA kernels, and Python bindings. But here's where it gets wild: the system WORKS. It trains real neural networks on GPUs. Loss curves match PyTorch. Models converge correctly. Every test passes. So what's the problem? Performance. VibeTensor runs 1.7x to 6.2x SLOWER than PyTorch in end-to-end training, even though individual AI-generated kernels can be 5-6x FASTER than PyTorch's versions. NVIDIA calls this the "Frankenstein Effect"—when AI builds correct components that destroy performance when combined. This is the real limit of AI coding agents right now, and it reveals exactly why humans still matter. 🔗 RESOURCES: https://arxiv.org/pdf/2601.16238 https://github.com/NVLabs/vibetensor #AI #NVIDIA #MachineLearning #DeepLearning #CodingAgents #PyTorch #VibeTensor #ArtificialIntelligence #TechNews 💬 What do you think? Can AI agents eventually close the performance gap? Drop your thoughts below! 👍 Like this video if you want more deep dives into AI breakthroughs 🔔 Subscribe for weekly AI news breakdowns 📢 Share this with anyone interested in AI coding agents Thanks for watching! See you in the next one.