GoKawiil
Tech News
A researcher preparing policy-facing writing on open AI models has compiled and shared a curated list of the best writing on the topic from recent years, organized into sections covering foundational concepts, US-China competition, and technical details like distillation. The list is described as a living document that will be updated as readers suggest additional pieces to include.
IFM has launched K2 Horizon, a family of six models ranging from 0.9B to 375B-A23B parameters, released under Apache 2.0 with datasets under licenses like ODC-BY. Unlike typical open-weight releases, IFM is publishing the entire training lifecycle—intermediate checkpoints, data recipes, architecture details, training code, logs, and evaluations—alongside final weights. The smallest models (0.9B, 3.7B, 7B) reportedly set new state-of-the-art benchmarks for their size class.
GoKawiil's summer analysis of Hugging Face data shows public model repositories rose from 2.43M to 2.96M between January and August 2026, with datasets and Spaces also expanding sharply. Despite that growth, download activity remains concentrated in a tiny fraction of repositories, and Chinese labs including Moonshot, MiniMax, Xiaomi and Z.ai are releasing massive models, some exceeding a trillion parameters, without first publishing smaller versions.
Hugging Face, the widely used repository for open-source AI models and developer tools, is reportedly the target of a potential investment or acquisition move by Nvidia. The platform is a central hub where developers share, download and test AI models, giving it outsized influence over the open model ecosystem despite limited public name recognition.