Most AI systems today work in turns. You type or speak, the model waits, processes your input, and then responds. […]
Category: Machine Learning
Tilde Research Introduces Aurora: A Leverage-Aware Optimizer That Fixes a Hidden Neuron Death Problem in Muon
Researchers at Tilde Research have released Aurora, a new optimizer for training neural networks that addresses a structural flaw in […]
Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization
A team of researchers from Meta, Stanford University, and the University of Washington have introduced three new methods that substantially […]
Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs
Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed during training flows through […]
NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX
NVIDIA AI researchers recently released cuda-oxide, an experimental compiler that allows developers to write CUDA SIMT (Single Instruction, Multiple Threads) […]
NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing
Training a family of large language models (LLMs) has always come with a painful multiplier: every model variant in the […]
OpenAI Adds Chrome Extension to Codex, Letting Its AI Agent Access LinkedIn, Salesforce, Gmail, and Internal Tools via Signed-In Sessions
OpenAI has launched a Codex Chrome extension for Mac and PC to streamline browser-based workflows that were previously difficult to […]
Anthropic Introduces Natural Language Autoencoders That Convert Claude’s Internal Activations Directly into Human-Readable Text Explanations
When you type a message to Claude, something invisible happens in the middle. The words you send get converted into […]
LightSeek Foundation Releases TokenSpeed, an Open-Source LLM Inference Engine Targeting TensorRT-LLM-Level Performance for Agentic Workloads
Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment. As agentic coding systems such as […]
Meta AI Releases NeuralBench: A Unified Open-Source Framework to Benchmark NeuroAI Models Across 36 EEG Tasks and 94 Datasets
Evaluating AI models trained on brain signals has long been a messy, inconsistent topic. Different research groups use different preprocessing […]