Engineers can now run a full local agentic programming stack using Ollama, Gemma 4, and Claude Code, bypassing API costs, rate limits, and data privacy concerns. Google DeepMind's Gemma 4 26B MoE mode…
Google released Gemma 4 12B, a multimodal AI model that processes vision and audio inputs without separate encoders, enabling advanced reasoning and agentic workflows on laptops with just 16GB of VRAM…
Google announced at I/O 2025 the stable release of Android CLI v1.0 with new features like programmatic version lookup and direct integration with Android Studio. The company also expanded its reposit…
Neuronpedia launched HeadVis, a tool for exploring attention heads in collaboration with Anthropic, now available for 37 models with over 36,000 attention head dashboards. The platform also added new …
Google's LiteRT-LM optimization technique delivers a 2.2x performance boost for Gemma 4 local inference on edge devices and consumer hardware, enabling faster multi-token prediction without cloud API …
A developer named Dexter has published a GitHub repository containing a setup script and documentation for running Gemma 4 locally on an Android phone using Termux and Ollama. The repo includes an aut…
OpenAI expanded Lockdown Mode to all ChatGPT users, including the free tier, to protect against prompt injection attacks by restricting features like web browsing and file downloads. Google signed a d…
Google DeepMind released Quantization-Aware Training (QAT) checkpoints for the Gemma 4 model family, targeting local deployment on edge devices and consumer GPUs. The new Q4_0 QAT format reduces memor…
Google released the Gemma 4 family of open-weight AI models this week, ranging from a 2.3B-parameter E2B model up to a 31B dense model, with the smallest variants designed to run on-device. The E2B an…
Google released new Gemma 4 checkpoints optimized with Quantization-Aware Training (QAT) to reduce model memory footprint for local deployment on edge devices and consumer GPUs. The QAT process minimi…
Google added native support for Gemma 4 Multi-Token Prediction (MTP) to LiteRT-LM, its on-device LLM runtime built on LiteRT (formerly TensorFlow Lite). Google reports the integration yields MTP decod…
Google released LiteRT-LM, a new runtime framework that accelerates on-device inference for its Gemma 4 large language models by up to 2.2x using multi-token prediction. The framework, built on the Li…
Hitoku Draft, an open-source, voice-first AI assistant that runs entirely locally, now includes transcription with voice editing and context-aware features that read the user's screen, documents, and …
Google released Gemma 4 12B, a 12-billion-parameter multimodal model designed to run on consumer laptops with 16GB of RAM or VRAM. The encoder-free model accepts text, images, and native audio, and it…
NVIDIA released Nemotron 3 Ultra, a 550-billion-parameter open coding model with 55 billion active parameters per token, designed for fast, agentic developer workflows. The model achieves over 300 out…
Google released the Gemma 4 12B model, a new AI language model designed to run on consumer laptops with 16GB of RAM. The 12-billion-parameter model fills a gap in the Gemma 4 family between mobile-opt…
Google released Gemma 4 12B, a new multimodal AI model designed to run locally on consumer laptops with just 16GB of RAM. The model uses an encoder-free architecture to process images and audio direct…
A developer built an AI interview coach that runs entirely in the browser with no backend, accounts, or subscriptions, requiring only a free API key. The tool conducts full mock interviews across beha…
On June 2, 2026, Hcompany released Holo3.1, the first production-grade computer use model family with quantized checkpoints—FP8, NVFP4, and Q4 GGUF—designed for fully local inference. The release enab…
A solo developer built a fully offline conversational AI Hydration Coach using React Native and Google's Gemma 4 E2B model, running entirely on-device with no cloud servers or API calls. The project, …