We're excited to introduce Arcee.ai's Trinity Large model. An... open 400B parameter Mixture of Experts model, delivering frontier-level performance with only 13B active parameters. Trained in collaboration between Arcee, Datology and Prime Intellect.show more

We're excited to introduce Ocelot, an open-source and Brave-trained... AI model built specifically to summarize web content. Ocelot is now available in Leo, our browser's AI assistant, and as an open-source model for the developer community.show more

Mistral unveiled Large 4, a 1T-parameter multimodal model with... 49B active parameters. It reports results in cyber, manufacturing, finance and visual grounding. API available; weights due end-Oct.show more

We are excited to introduce Mercury, the first commercial-grade... diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.show more

Trinity-Large-Thinking, Arcee.ai's latest model, is now free on Nous... Portal for the next week Sign up for Nous Portal to use it in your Hermes Agent todayshow more

1/3 🚀Thrilled to introduce Wan2.1-FLF2V-14B - our first 14B-parameter... large model for First-Last-Frame to video generation! Open-source, open-source, open-source! Empowering digital artists with unprecedented efficiency and creative flexibility. #wan #AIGC #alartshow more

FLUX 3 Image Klein is here. Open Weights with... the quality of a large frontier model. Customizable and fast. 5.6B parameters and runs on a single consumer GPU. Native 4K, bounding boxes, and pixel-perfect editing.show more

Poolside is hosting a 2-day model research hackathon in... London. Join us to push an open-weight agent model as far as you can. RL and fine-tune Laguna XS.2, our latest-generation model, on Prime Intellect Lab. Dates: May 29–30 Partners: NVIDIA + Prime Intellect + Hugging Face Prize: NVIDIA DGX Spark Agents need better models. Better models need cracked researchers. Link below.show more

How does Edge0 run a 35B model with only... 1–2.5 GB of peak memory? In simple terms: • The full model stays in storage. • Only the parameters needed for the current step are loaded into memory. • The next parameters are prepared while the current step is running. • Memory is reused instead of loading the entire model at once. Large model. Small working set. Fully on-device.show more

Semantic search improves our agent's accuracy across all frontier... models, especially in large codebases where grep alone falls short. Learn more about our results and how we trained an embedding model for retrieving code.show more

Meet Mistral Large 4, aka Le Chonk. • 1T... parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.show more

The NVIDIA AI team shipped Nemotron 3.5 Super VL... today, and you can call it now on CoreWeave Serverless Inference. Send it text and images, build with supported reasoning, tool calling and structured outputs, and trace every call in CoreWeave Agent Lens. It's a multimodal mixture-of-experts model with 12B active parameters, served in NVFP4. Pricing per 1M tokens is $0.25 input, $1.50 output, and $0.05 cached input. Try it here:show more

excited to release RadiusNet-31P, a SOTA open-weight model capable... of predicting the perfect concentric border radius with 99.999% accuracy trained for 5,000 epochs so designers never have to subtract again ↓ open weights in the first replyshow more

Grok 4.8 will be released soon. The upcoming Grok... model is a massive 2.5T parameters model, first time trained with a new C++ software stack.show more

🚀 Macaron-V1-Venti from Mind Lab is now live on... Novita. 🎁 Free through August 7. Built for advanced agent workloads: 🔹 748B-parameter flagship model 🔹 744B base + four 1B LoRA specialists 🔹 Mixture-of-LoRA architecture 🔹 The first model post-trained on GLM-5.2show more

Today IBM announced it will host @MetaAI's Llama 2-chat... 70 billion parameter model in the watsonx․ai studio, furthering their collaboration on open innovation for #AI. Learn more:show more

Snap presents MoA Mixture-of-Attention for Subject-Context Disentanglement in Personalized... Image Generation We introduce a new architecture for personalization of text-to-image diffusion models, coined Mixture-of-Attention (MoA). Inspired by the Mixture-of-Expertsshow more

Lumo users can now opt in to help train... an open AI model. We've partnered with the team behind Apertus so every Lumo user can choose to improve Apertus 1.5, the fully open model built by ETH Zurich, EPFL, and CSCS. AI trained with consent, starting today. 1/3show more

The fact that a 284B parameter model is able... to in a single 400K token session - ssh into my Homelab to find docs - ssh into lambda / prime intellect - rewrite reap to support the DS4 attention - download models & datasets - run tests to check it worksshow more

We're very excited to introduce TAPNext: a model that... sets a new state-of-art for Tracking Any Point in videos, by formulating the task as Next Token Prediction. For more, see: 🧵show more