WebAI keeps processed information on the user's device and requires no cloud service, third-party AI subscription, or user account.

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The experimental NVFP4 checkpoint of Ricursive Intelligence's Ripple-65B Preview quantizes MLP layers while keeping attention in BF16 to target local hardware such as NVIDIA DGX Spark

The National Development and Reform Commission expressed concern that robotics data from ABB Ltd.'s Chinese operations could be transferred overseas to train artificial intelligence models, including OpenAI

Sentra Inc. contends that governance tools that copy customer data into vendor environments introduce secondary data estate risks for regulated industries

Sentra Inc.'s data security platform operates directly inside the customer's environment to classify data and build identity mapping for people, service accounts, and AI agents

Sweden's Government Offices instituted restrictions on the AI tools ChatGPT and Claude due to information security concerns over processing sensitive government data without formal data protection agreements

Swedish officials expressed concern that entering sensitive data into unapproved AI platforms could cause information to be stored or used to train public models.

Swedish government officials expressed concern that entering sensitive data into AI platforms without data protection contracts could lead to information being stored and used for model training.

Opera released example WebAI extensions demonstrating local automated tab sorting and clickbait detection

WebAI allows local models like Google's Gemma to generate text, classify content, and identify relationships between data points within the browser

WebAI is disabled by default in Opera One, requiring users to explicitly enable the standard and grant permission for each site to access local models.

WebAI is available as an opt-in early preview on Opera One for 64-bit Windows PCs and Apple silicon Macs, with plans to support Opera GX and Opera Neon later.

Opera stated that WebAI has backing from Google and Microsoft, is model-agnostic, and supports Google's Gemma models and Apple's on-device foundation model on compatible Macs.

Opera began testing on-device large language models in its browser developer channel in April 2024 prior to introducing the WebAI standard.

Opera noted that local AI processing performance and speed depend on the user's hardware rather than cloud infrastructure.

WebAI allows third-party web developers to add local AI features to websites and extensions without running their own servers or paying per-request API fees.

Liquid AI released LFM3 checkpoints in GGUF, MLX, ONNX, FP8, and NVFP4 formats, supporting runtimes including llama.cpp, vLLM, SGLang, Ollama, and Transformers

Liquid AI reported that LFM3-1.7B fits into approximately 1GB of storage at 4-bit precision, enabling local deployment on laptops and mobile phones

Liquid AI demonstrated local customization by fine-tuning LFM3-VL-2B on 3,000 wind-turbine images over several hours on an Nvidia A100 GPU, increasing classification accuracy from below 10% to 67%

During local testing with a 32,000-token input, Liquid AI's LFM3-1.7B recorded peak memory usage of 2.75GB on an AMD Ryzen AI Max+ 395 system, 2.25GB on an Apple M5 Max, and 1.90GB on an iPhone 17 Pro

Liquid AI states that its authenticated API console enforces zero data retention, asserting that user-submitted content is not stored, logged, or used for model training