Google DeepMind has released AlphaGenome Atlas, a catalogue of precomputed predictions for the molecular effects of every possible single-nucleotide variant […]
Category: New Releases
Reducto Releases r-1: A Single Pass Document Parsing Model That Cuts Errors 20% at 1 Cent Per Page
Last week, Reducto announced r-1. It is the first model in a new parsing family built on a rewritten architecture, […]
OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device
OpenBMB has released MiniCPM5-2B, the second checkpoint in the MiniCPM5 series and the follow-up to MiniCPM5-1B. It is a dense […]
Axis Robotics Releases AXIS: A Browser-Based Data Engine With 207 Robot Manipulation Tasks and 50,129 Trajectories
Robot manipulation datasets have grown far slower than the models trained on them, mostly because collection stays closed and centralized. […]
IFM Releases K2 Horizon: Six Apache 2.0 Models From 0.9B to 375B
Most open model launches release one checkpoint and a benchmark table. The Institute of Foundation Models (IFM) released something wider […]
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 […]
UC Berkeley Researchers Release CUA-Lite, an Open Platform Unifying Sandboxes, Data, Evaluation and RL for Computer-Use Agents
A team of researchers from UC Berkeley have released CUA-Lite, an open platform for computer-use agents (CUAs). The argument behind […]
GitHub Introduces Project HydraFusion: Runtime Multi-Model Orchestration That Builds a Workflow Per Coding Task in Copilot CLI
GitHub has released Project HydraFusion, a research preview that stops treating model choice as a one-time setting. Instead of routing […]
Nous Research Adds One-Click Local Model Setup to Hermes Desktop
The hard part of running an open-weights model locally was never the model. It was everything before it, reading VRAM […]
Adaption Labs Introduces ‘Invent a Dataset’: Training Data Generated From a Task Description, Not a Seed Corpus
This week, Adaption Labs released Invent a Dataset. The feature generates a structured, training-ready dataset from a description of the […]