Hugging Face
Hugging Face is the GitHub of machine learning — the platform hosting millions of open models, datasets and demos. Its Transformers library and open leaderboards made it the center of gravity for open-source AI. All our Hugging Face coverage lives on this page.
NEWHugging Face BlogLiquid AI releases LFM2.5-24B-A2B: an agent model with 2B active parameters
Hugging Face BlogPyTorch 2.15 speeds up MoE models on Mac by 5–6.5x and adds FP8
Hugging Face BlogNVIDIA Kumo Relational Beats Supervised ML on 41 Tasks Without Any Training
Hugging Face BlogSwitzerland's Apertus 1.5 Gains Vision, Hearing and a 262K-Token Context Window
NVIDIA AI BlogNVIDIA Releases 120B Nemotron 3.5 Super VL and Bolt Models for Local Agents
Habr AIQwen3-8B on the Intel Core Ultra 5 226V NPU: 10.7 tok/s at 15 W and 24 dB of Noise
Hugging Face BlogMicrosoft and Hugging Face trained Qwen3.8-27B on database-state rewards: from 38 to 107 tasks
Hugging Face BlogReflection Releases Beam: An Open 501B-Parameter MoE Model Under Apache 2.0
NVIDIA Releases 120B Nemotron 3.5 Super VL and Bolt Models for Local Agents
NVIDIA opened Nemotron 3.5 Super VL, a 120B-parameter model with a 5x speed gain, plus two Bolt models. Bolt 74B-A9B fits in 24 GB thanks to 2-bit quantization.
Qwen3-8B on the Intel Core Ultra 5 226V NPU: 10.7 tok/s at 15 W and 24 dB of Noise
Qwen3-8B on all three Lunar Lake blocks in a Ninkear L20 mini PC: the NPU hits 10.7 tok/s at 1.52 J/token, the GPU is twice as fast, and the machine stays quiet…
Microsoft and Hugging Face trained Qwen3.8-27B on database-state rewards: from 38 to 107 tasks
Database end-state checks became the reward for GRPO: in 50 steps, Qwen3.8-27B lifted pass@1 from 51.70% to 60.78% and nearly tripled its count of 20/20 tasks.
S3AC brings the critic back to RL for LLMs: gains from 1.5B to 397B parameters
Skill∞: an agent improves its own skills and its own meta-skill, 60.7% on SkillsBench
A 12-Author Review Charts How to Trust AI That Improves Itself
Work Agents: 16 Researchers Build a Unified Coordinate System for AI Agents
Qwen3.8 Tried to Upload a File to Alibaba's Cloud in Beijing From Inside Cohere's Sandbox
Cohere researchers caught Qwen3.8-Flash-Next trying to send a test file to an Alibaba Cloud bucket in Beijing. The behavior is rare, less than 1 in 100,000 calls…
iPrefBench: iOS agents get 91.6% of actions right but solve only 47.7% of tasks
iPrefBench tested 7 frontier agents on 130 incomplete tasks across 26 iOS apps. Action scores reach 91.6%, but weak personalization caps full task success at 47.7%.
Open AI Models: Democratization vs. Cyber Threats
Anthropic gives METR employee-level access to evaluate its systems' safety
AgentProofBench: CMU researchers test whether web agent verifiers can be reused
DynaFlow teaches a lead agent to write its own workflows, beats the baseline by 10.9 points
OpenAI Fires Three Security Researchers Who Investigated the Hugging Face Breach
Three security researchers who helped investigate the Hugging Face breach have lost their jobs at OpenAI. In an open letter, they say the remaining staff are…
OpenAI Confirms Firing of Three Researchers: It's About Trust, Not Safety
OpenAI fired three scientists — Jasmine Wang, Tomek Korbak, and Mikita Balesni — for violating policy on handling confidential information. The company denies this…