Staff – The TechBriefs

H Company Releases NeoMME: A Family of 260M and 800M Single-Tower Multimodal Encoders That Drop the Vision Tower and Causal Decoder

Most visual document retrievers in production today are hand-me-downs. ColPali and the models that followed it take a generative vision-language […]

AI research agents can already propose, implement and score their own machine learning experiments. Idea generation is cheap; verification is […]

A team of researchers from UC Berkeley have released CUA-Lite, an open platform for computer-use agents (CUAs). The argument behind […]

Retrieval quality in an AI search product is bounded by two things: how good the embedding model is, and how […]

GitHub has released Project HydraFusion, a research preview that stops treating model choice as a one-time setting. Instead of routing […]

The hard part of running an open-weights model locally was never the model. It was everything before it, reading VRAM […]

This week, Adaption Labs released Invent a Dataset. The feature generates a structured, training-ready dataset from a description of the […]

Video has been the most expensive modality to reason over. A Gemini model handed a 90-minute lecture has, until now, […]

Multi-agent workflows have changed the shape of local inference. A lead agent decomposes a task and spawns subagents. What looked […]

AI weather models have spent three years closing the gap with physics-based forecasting, but two problems stayed open: resolution too […]