Welcome Inkling by Thinking Machines
A new model enters a crowded market, raising questions about what distinguishes it from existing options.
Get smart on it
Inkling is a large open artificial intelligence model with approximately one trillion parameters that can process images, text, and audio inputs together. The model uses a decoder-only architecture with a Mixture-of-Experts design, meaning it activates only a portion of its parameters at any given time to enable faster processing while maintaining capabilities across multiple forms of media. It comes in different versions optimized for different hardware, and has immediate support in major inference frameworks, making it accessible for developers building multimodal reasoning applications.
Related news
NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB
Embedding models decide which passages an agent ever sees. NVIDIA released Nemotron 3 Embed model to work on that layer. It targets production-scale RAG, agentic retrieval, code retrieval, and agent memory. What is Nemotron 3 Embed? The model collection includes three open checkpoints. Nemotron-3-Embed-8B-BF16 is the accuracy-first option. Nemotron-3-Embed-1B-BF16 carries the same design into a smaller footprint. Nemotron-3-Embed-1B-NVFP4 is the Blackwell-optimized 4-bit path. All thre
Moonshot AI Releases Kimi K3: A 2.8 Trillion Parameter Open MoE Model With Kimi Delta Attention and 1M Context
Moonshot AI just released Kimi K3. It is a 2.8-trillion-parameter model with native vision and a 1-million-token context window. Moonshot calls it the world’s first open 3T-class model. What is Kimi K3? Kimi K3 is a sparse Mixture-of-Experts (MoE) model built on two architectural updates. Those are Kimi Delta Attention (KDA) and Attention Residuals (AttnRes). Both change how information flows across sequence length and model depth. K3 targets long-horizon coding, knowledge work, an
