Import AI 461: "Alignment is not on track"; FrontierCode; and synthetic research interns
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Research into how AI can help users understand skin conditions
Health & Bioscience
A low-carbon computing platform from your retired phones
Climate & Sustainability
Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP
Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP
New framework for auditing machine unlearning
Algorithms & Theory
DiffusionGemma: 4x faster text generation
DiffusionGemma: 4x faster text generation
Investing in multi-agent AI safety research
Google DeepMind and partners announce a $10M funding call for multi-agent safety research.
Fluid, natural voice translation with Gemini 3.5 Live Translate
Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.
Introducing Gemma 4 12B: a unified, encoder-free multimodal model
Introducing Gemma 4 12B: a unified, encoder-free multimodal model
Powering the future of robotics in Europe
Powering the future of robotics in Europe
Migrating Your GitHub CI to Hugging Face Jobs
Migrating Your GitHub CI to Hugging Face Jobs
How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
Measuring the impact of learning with AI in Sierra Leone and beyond
Results from a randomized controlled trial show the potential of Gemini’s Guided Learning feature to boost engagement and accelerate learning.
Import AI 460: Reward hacking society, RSI data from Anthropic; and RL-based quadcopter racing
When will markets price the singularity?
The Open Source Community is backing OpenEnv for Agentic RL
The Open Source Community is backing OpenEnv for Agentic RL
Towards passive heart health monitoring via smartphone camera
Health & Bioscience
Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI
Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI
Designing the hf CLI as an agent-optimized way to work with the Hub
Designing the hf CLI as an agent-optimized way to work with the Hub