In this tutorial, we work with Laya, the open-source decision engine from Convai Innovations that became one of the most-starred […]
Category: Staff
Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4
Google DeepMind has released EmbeddingGemma 2, an open model that embeds text, code, images, video and audio into one 768-dimensional […]
Mistral AI Releases Mistral Large 4 (Le Chonk): A 1.05T Parameter Multimodal MoE Model
Mistral AI has just announced the release of Mistral Large 4 (ML4), internally nicknamed Le Chonk, as a public preview. […]
Support Ars and get a better reading experience in return
When Ars launched in 1998, there was one way to read it: in a web browser on a PC (or […]
Reka Releases Rho-1: A 19B Omni-Reasoning Model That Understands, Generates Video and Outputs Robot Actions in One
Reka has released a research preview of Rho-1, a 19B omni-reasoning model trained from scratch. A single neural network understands […]
Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for 7 Fields
Researchers from PhAI Labs, CUHK, Fudan, Stanford, Oxford and Princeton have released JEPA-Anything, a domain-agnostic framework for building world models. […]
Meet Together Link: A Free CLI That Runs Open Models Like Kimi K3 and GLM 5.3 Inside Claude Code, Codex, and OpenCode
Together AI has released Together Link, a free, MIT-licensed CLI now in beta. It connects the coding agents developers already […]
Building a Streaming Robotics Learning Pipeline Using NVIDIA Cosmos3-DROID
In this tutorial, we design an end-to-end streaming robotics learning pipeline around the NVIDIA Cosmos3-DROID dataset without downloading its 707 […]
Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads
Reflection AI has introduced Beam, its first open-weight model. Beam is a sparse Mixture-of-Experts (MoE) model with 501B total parameters […]
Yandex Introduces Sona: A Single Generative Recommender That Replaces Entire Recommendation Cascade
Most production recommenders are cascades. Candidate generators feed a pre-ranker, which feeds a heavy ranker built on hundreds of engineered […]