Applications – The TechBriefs

Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models

Pre-training large language models is expensive enough that even modest efficiency improvements can translate into meaningful cost and time savings. […]

Enterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them

By the time a company’s legal team finishes drafting its generative AI acceptable use policy, a meaningful percentage of its […]

Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size

As LLM-powered applications move into production — and as AI agents take on more consequential tasks like browsing the web, […]

Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration

Most AI systems today work in turns. You type or speak, the model waits, processes your input, and then responds. […]

Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor

The mouse pointer has sat at the center of personal computing for more than half a century. It tracks cursor […]

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) […]