Open Source AI News - Llama, Mistral, Qwen & DeepSeek Updates
Daily open source AI model news. Latest on Llama, Mistral, Qwen, DeepSeek releases, benchmarks, and updates. Updated hourly.
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Moonlake: Causal World Models should be Multimodal, Interactive, and Efficient — with Chris Manning and Fan-yun Sun
We cap out our World Models coverage with one of the most exciting new approaches - long running, multiplayer, interactive world models built with agents bootstrapped from game engines!
Microsoft takes on AI rivals with three new foundational models
MAI released models that can transcribe voice into text as well as generate audio and images after the group's formation six months ago.
Google: Gemma 4 31B (google/gemma-4-31b-it)
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function calling, and multilingual support across 140+ languages. Strong on coding, reasoning, and document understanding tasks. Apache 2.0 license.
Gemma 4: Byte for byte, the most capable open models
Gemma 4: Our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.
New ways to balance cost and reliability in the Gemini API
Gemini API Dials
Google now lets you direct avatars through prompts in its Vids app
Google is adding a way to customize and instruct avatars for video creation in the Vids app.
Create, edit and share videos at no cost in Google Vids
Google Vids logo surrounded by various video editing UI
Gemma 4: Byte for byte, the most capable open models
Gemma 4: our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.
Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context windows
This post describes how TGS achieved near-linear scaling for distributed training and expanded context windows for their Vision Transformer-based SFM using Amazon SageMaker HyperPod. This joint solution cut training time from 6 months to just 5 days while enabling analysis of seismic volumes larger than previously possible.
Qwen: Qwen3.6 Plus (free) (qwen/qwen3.6-plus)
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers major gains in agentic coding, front-end development, and overall reasoning, with a significantly improved “vibe coding” experience. The model excels at complex tasks such as 3D scenes, games, and repository-level problem solving, achieving a 78.8 score on SWE-bench Verified. It represents a substantial leap in both pure-text and multimodal capabilities, performing at the level of leading state-of-the-art models.
Anthropic took down thousands of GitHub repos trying to yank its leaked source code — a move the company says was an accident
Anthropic executives said it was an accident and retracted the bulk of the takedown notices.
Automating competitive price intelligence with Amazon Nova Act
This post demonstrates how to build an automated competitive price intelligence system that streamlines manual workflows, supporting teams to make data-driven pricing decisions with real-time market insights.
Our AI Literacy Day recap: putting educators in the lead
3 rows of teachers posing as a group at the NYCPS AI Literacy event
Arcee AI: Trinity Large Thinking (arcee-ai/trinity-large-thinking)
Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. It is free in open claw for the first five days. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7
The latest AI news we announced in March 2026
March 2026 AI Recap showing new updates
Improve coding agents’ performance with Gemini API Docs MCP and Agent Skills.
Gemini API Skills
Anthropic releases part of AI tool source code in 'error'
Anthropic accidentally released part of the internal source code for its AI-powered coding assistant Claude Code due to human error, the company said Tuesday.
[AINews] The Claude Code Source Leak
The accidental "open sourcing" of Claude Code brings a ton of insights.
Mercor says it was hit by cyberattack tied to compromise of open-source LiteLLM project
The AI recruiting startup confirmed a security incident after an extortion hacking crew took credit for stealing data from the company's systems.
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