Hugging Face

GitHub Copilot has added Kimi K2.7 Code, an open-weight model from Chinese AI startup Moonshot AI, as a selectable option in its model picker for the first time. Hosted on Microsoft Azure and billed b…

In 2026, the open-source automation tool n8n, with over 80,000 GitHub stars, enables users to create intelligent workflows integrating AI without advanced programming. A developer demonstrates buildin…

Hugging Face's top-voted papers on July 1, 2026, reveal four major AI trends: world models, AI agents, inference acceleration, and multimodal data generation. Orca proposes a unified latent space for …

Google Research introduced TabFM, a foundation model for tabular data that performs zero-shot classification and regression without dataset-specific training. The model uses a hybrid-attention archite…

Liquid AI released LFM2.5-230M, a 230-million-parameter model optimized for edge devices including phones, Raspberry Pi, and robots. The model achieves 213 tokens per second on a Galaxy S25 Ultra and …

MiniMax released M3, a 428-billion-parameter open-weight model, on June 7, achieving 59.0% on SWE-Bench Pro—slightly outperforming GPT-5.5's 58.6%—at $0.30 per million input tokens, making it 16 times…

Hugging Face and Cerebras have partnered to create a real-time voice AI pipeline using Google DeepMind's Gemma 4, Nvidia's Parakeet, and Alibaba's Qwen3TTS, achieving low-latency speech-to-speech inte…

LoRA (Low-Rank Adaptation) and QLoRA have become widely adopted methods for efficiently fine-tuning large language models with a fraction of the parameters, solving the problem of massive GPU requirem…

GLM, the model family from Z.ai (formerly Zhipu AI), is gaining attention for its open weights and strong benchmark numbers. A developer tested GLM-4.7-Flash, a 30B-A3B MoE model, on a single-GPU home…

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…