licensing
Qwen put a 20-million-entry n-gram table inside a model News
Alibaba's Qwen released Qwen3.8-Flash-Next, a preview of the architecture behind Qwen4, whose headline idea is scaling parameters through a 20-million-entry table of word pairs and triples that can be offloaded off the GPU -- 51 billion parameters that never need to be computed, only looked up.
AWS is buying DuckDB's company, not DuckDB News
Amazon has agreed to acquire DuckLabs, the 30-person Amsterdam team behind DuckDB, while the database itself stays MIT-licensed under the nonprofit foundation that holds its intellectual property -- a structure the founders set up years ago for exactly this moment.
Ling-3.0 ships a hybrid-linear mixture of experts under a plain MIT license News
inclusionAI released the Ling-3.0 family on Hugging Face with a permissive MIT license, mixing linear and full attention in a fixed three-to-one ratio, and the smallest variant activates only 1.3 billion of its 7.9 billion parameters per token.
The open world model ships inference and keeps the training code News
AlayaWorld released inference code and pretrained weights for an interactive world model with long-horizon memory, but the training code is still an unchecked box, the license is a community license, and running it requires a gated Google model plus a ByteDance depth model.
MiniMax released a five-minute song model with a catch in the licence News
MiniMax published the weights for Music 3, a model that generates complete five-minute songs with vocals in 32 kHz stereo, under a licence that permits commercial use but requires on-screen credit and written permission above $20 million in revenue.
Ant published Ling-3.0-flash's weights under plain MIT, with no rider attached News
Ant Group's InclusionAI lab published the full weights for its 124-billion-parameter Ling-3.0-flash model on Hugging Face this week under an unmodified MIT license, with no acceptable-use policy, revenue threshold, or branding requirement anywhere in the release.
MiniMax Shipped H3's Weights and Kept the Best Part Hosted News
MiniMax released the weights for its H3 video-and-audio generation model, and its own model card says the input-processing stage that is critical to output quality is not included in the release and the 2K output stage is not open-sourced at all.
Thinking Machines ships Inkling-Small's open weights - all 532 gigabytes of them News
Thinking Machines has published the full weights for Inkling-Small, a 276-billion-parameter sparse model that activates only 12 billion parameters per token and accepts text, images and audio, under an Apache 2.0 licence with a separate use policy attached.
LG shipped a 750-billion-parameter model and quietly dropped its restrictive licence News
LG AI Research released K-EXAONE 2.0, a 750-billion-parameter sparse model with 37 billion active, under Apache 2.0 - a break from the custom EXAONE licence that governed its previous releases.
Upstage Ships Solar Open 2, a 250-Billion-Parameter Model That Runs on Two GPUs News
Korea's Upstage released open weights for a 250-billion-parameter agent model that activates only 15 billion parameters per token and fits on two NVIDIA H200s when quantized, under a custom license with attribution requirements.
Hugging Face ships The Stack v3, and this time the code is actually in the box News
Hugging Face released The Stack v3, a code dataset of roughly 4.9 trillion tokens across 173 million repositories with source text embedded inline, ending the v2 arrangement where researchers had to fetch the actual file contents themselves.
xAI open-sourced its coding agent, then locked the door behind it News
xAI published Grok Build, its agentic coding harness and terminal interface, under the permissive Apache 2.0 license -- but its contributing guide states that external contributions are not accepted, and the repository is a one-way bot-pushed mirror of an internal monorepo.
The zero-cost fallacy: open source under AI pressure News
ThoughtWorks argues open source is being ground down by AI-generated pull requests, meaningless popularity metrics, and a licensing model one participant called a profound collective mistake.