models

The author argues that governments and companies will increasingly switch to open-weight AI models to avoid US government control over access, noting that open models are only slightly behind closed ones and move at a pace more suited to real-world bureaucracy.

Hugging Face has started charging community contributors to upload public open source models, causing some to consider alternatives like ModelScope.

Apple released Core AI, a new framework that runs AI models entirely on Apple silicon devices (iPhone, iPad, Mac, Vision Pro) with zero server calls. It includes a memory-safe Swift API, model export recipes for PyTorch, an optimizer, and debugging tools, supporting models like Qwen, Mistral, and SAM3.

This article recommends a website called Sophon, which aggregates AI papers, models, benchmarks, leaderboards, and reinforcement learning environments. It provides real-time rankings, comparisons, and subscription features, and is hailed as the Bloomberg terminal for AI research.

Nvidia crossed 1,000 public repositories on Hugging Face, featuring trending models and announcing plans for Cosmos 3, Alphamayo 2 Super, Nemotron 3/4, and adoption of the OpenMDW framework, underscoring its leadership in open-source AI.

A developer thanks 5,000 followers for supporting OpenMed, an open-source clinical AI project, and hints at upcoming model and dataset releases.

Baidu has quietly built a trillion-dollar infrastructure including chips, cloud, framework, models, and agents, serving 700 million users, unveiled at Baidu Create.

The article explores the concept of illusions of understanding in scientific practice, discussing how ambiguous language, incomplete causal accounts, and satisfying but incomplete explanations can lead scientists to overlook deeper understanding.

Clement Delangue promotes Hugging Face's infrastructure for hosting models, datasets, and agent memory, claiming it's better, faster, cheaper, and safer than S3 or R2.