Hugging Face is an AI community platform and company providing a hub for open-source machine learning models, datasets, and demo spaces. It hosts over 500,000 models and is widely used by the AI research community.
Researchers conducted the first systematic security analysis of AI-powered applications on pre-trained model hubs like Hugging Face, identifying five threat categories and ten attack vectors. Their an…
DeepReinforce released Ornith-1.0, an open-source family of coding models that learn to build their own task scaffolds, moving intelligence from the surrounding harness into the model itself. The mode…
Anthropic's Model Context Protocol (MCP) enables universal tool connectivity for AI agents, and Qwen3.6-35B-A3B, a Mixture of Experts model with 262k-token context, is optimized for MCP-based agentic …
Handy Computer released transcribe.cpp, an open-source ggml-based transcription library supporting over 60 ASR models with GPU acceleration via Vulkan, Metal, CUDA, and TinyBLAS. The library, created …
Hugging Face's top AI papers for June 30, 2026, highlight a shift from models that merely answer well to systems that can act, evaluate, stop appropriately, and operate in the real world. Key papers c…
Python developer and author Abid Ali Awan published a guide to seven real-world Python projects for 2026, including an AI scam checker for Pakistani messages and a multi-agent research report generato…
Bshada released Open Schematics V2, the largest open electronic schematics dataset, containing thousands of KiCad schematic and PCB files with metadata. The dataset aims to accelerate machine learning…
Meituan launched LongCat-2.0, a 1.6 trillion-parameter Mixture-of-Experts model with 48 billion active parameters per token, available via API for agentic coding and tool use. The model features a 1 m…
Google Research introduced TabFM, a zero-shot foundation model for tabular data classification and regression, integrated into BigQuery ML. The model uses in-context learning to eliminate manual train…
A Hugging Face forum user asked which open-source large language model the community prefers for chatbot development and why, sparking discussion on model selection criteria.…
Meituan's LongCat team released LongCat-2.0, a 1.6 trillion-parameter mixture-of-experts AI model trained entirely on domestic AI ASICs, claiming it as China's largest model trained on home-grown hard…
A developer built a Hugging Face MCP server that enables AI agents to perform deep audits of model repositories directly from an IDE, eliminating the need for manual browsing. The tool allows agents t…
ReskSecure introduces a bitmask-based security firewall that blocks prompt injection and jailbreak attempts at the logits level, before token sampling. The tool uses YAML-defined policies to detect fo…
Chinese AI firm DeepSeek open-sourced DSpark, a speculative decoding system that accelerates large language model inference by up to 85% without altering output quality, releasing it under the MIT lic…
A user reported an error generating a certificate for the Deep RL Course on Hugging Face. Investigation revealed the app computes a passing score of 81.8% but fails at writing to the official certifie…
DeepReinforce AI released Ornith 1.0, an open-source coding model family that scores 82.4 on SWE-Bench Verified, outperforming Claude Opus 4.7's 80.8, and runs the 35B variant locally on a single RTX …
Hugging Face and the EvalEval Coalition launched an integration that allows contributors to submit standardized evaluation results (EEE schema) to Hugging Face Community Evals, consolidating scattered…
Developer built Ask the Canon, a semantic search engine over 100 public-domain books, using Hugging Face and NumPy without a vector database or external AI APIs. The system loads 79,292 passages as a …
Qualcomm announced a series of AI initiatives, including the Dragonfly data center brand, acquisition of Modular to create an open platform, and a deal with Meta, aiming to disrupt Nvidia's dominance …
Hugging Face CEO Clem Delangue criticized Anthropic's restricted release of its Claude Mythos model, arguing that labeling AI as 'too dangerous to release' serves as effective enterprise marketing rat…