Puffin-World: Scaling a Unified Multimodal Model With Native 3D World States
Puffin-World is a unified multimodal model that represents 3D scenes through three complementary native states — physics, geometry, and appearance…
Puffin-World is a unified multimodal model that represents 3D scenes through three complementary native states — physics, geometry, and appearance…
Earthmover and Hugging Face collaborated to simplify running open-source AI weather forecasting models by streaming large meteorological datasets rather than…
PyTorch 2.14 ships NVGEMM, bringing CuTeDSL-generated CUTLASS kernels to Inductor with epilogue fusion and scaled/NVFP4 GEMM support autotuned alongside Triton…
Qdrant and Vultr built Qdrant-FineWeb-10B, an open-source vector search benchmark of 10 billion embeddings derived from Hugging Face’s FineWeb corpus…
Researchers demonstrate that layer dropout, largely abandoned in modern LLM pretraining recipes, actually improves training efficiency and enables valuable post-training…
Researchers introduce MaxKernel, a multi-agent system for generating high-performance custom kernels for TPU accelerators using large language models paired with…
Researchers introduce tau-squared-Bench, a benchmark that evaluates whether AI coding agents can build complete, production-ready customer-service agents under realistic client-engagement…
Researchers present Iris-mini and Iris-pro, two search agents trained at 35B and 397B parameter scales, along with the full data…
Researchers introduce Dr. Claw, an open-source workspace that wraps existing command-line coding agents, such as Claude Code and Gemini CLI,…
Researchers propose a game-theoretic framework for understanding and improving multi-agent LLM systems in which an orchestrator decomposes tasks for a…
A new study isolates how quantization interacts with recurrent neural network memory, introducing the concept of recurrent-state write-back to describe…
Researchers introduce Group Adaptive Clipping Policy Optimization (GAPO), a modification to Group Relative Policy Optimization methods used in reinforcement learning…