A comparison of three local large language model runtimes reveals that llama.cpp is the core inference engine, while Ollama and LM Studio are user-friendly wrappers built on top of it. Ollama offers a…
A developer built Odysee, a self-hosted AI workspace for macOS that packages a FastAPI-based local LLM interface into a native macOS app bundle and DMG. The app supports multiple LLM providers includi…
Microsoft released a tutorial demonstrating how to run a browser-use agent workflow using Microsoft Fara in Google Colab. The tutorial guides users through setting up a mock OpenAI-compatible endpoint…
A developer has released Golem-AI, an open-source AI assistant extension integrated directly into the Godot 4.2+ editor as a dock. The tool supports local and cloud AI providers, offers Cursor-style c…
A developer has released Golem-AI, an open-source AI assistant plugin for Godot 4.2+ that integrates directly into the editor's dock. The tool supports local models via Ollama or LM Studio, cloud prov…
LM Studio updated its Locally app with LM Link, a feature that enables end-to-end encrypted communication between iPhones and Macs for interacting with locally running large language models. The featu…
GitHub Copilot switched to usage-based billing, increasing costs for users. Local LLMs offer a cost-effective alternative, with tools like Ollama and LM Studio enabling agentic coding without cloud de…
Google released the Google AI Edge Gallery for macOS, enabling Mac users to run Gemma models locally. The company also launched a new Gemma 4 12B variant and the Google AI Edge Eloquent dictation app …
Google launched Google AI Edge Gallery for macOS, allowing Mac users to run Gemma models locally on their devices. The company also released the Gemma 4 12B model, a multimodal AI with 12 billion para…
Google Deepmind released Gemma 4 12B, an open AI model that natively processes text, images, and audio on laptops with just 16 GB of RAM. The model nearly matches the performance of its 26B counterpar…
A developer is building an autonomous racing agent for the TORCS (The Open Racing Car Simulator) simulator, aiming to complete a clean lap around the Corkscrew track without crashing. The project will…
The open-source LLM inference landscape in 2025–2026 has split into three specialized tiers: throughput-oriented serving engines for production GPU clusters, portability-focused runtimes for consumer …
A consultant is designing a hybrid AI pipeline for a regulated financial client that processes sensitive documents like bank statements and tax returns, requiring local LLMs for OCR and PII tokenizati…
AMD's ROCm platform now supports PyTorch, Ollama, LM Studio, and ComfyUI out of the box, enabling local AI workloads on AMD GPUs without the compatibility issues that plagued earlier versions. Users w…
Ollama and LM Studio now allow users to run open-weight AI models like Qwen 3, Gemma 3, and DeepSeek-R1 locally on consumer hardware without API keys or monthly fees. The tools support quantized model…
Cloud AI pricing surged in 2026, prompting developers to reconsider local models for cost savings and ownership. However, tools like LM Studio and Ollama introduce their own lock-in through proprietar…
Zed users can now run local AI models directly within the editor, offering complete data privacy, predictable costs, and always-available access without reliance on cloud providers. The company report…
The article describes a technical setup for running a local AI coding assistant (Aider) on Apple Silicon Macs using a custom Python server with the MLX library for direct RAM loading of language model…
The article compares three local LLM-based code completion tools—Zed AI, Continue, and Cursor—highlighting their strengths and weaknesses for different workflows. It notes that local models offer priv…
The article describes the author's successful setup for running local AI models on an M4 Mac with 24GB of memory, specifically highlighting Qwen 3.5-9B (Q4 quantized) as the best performing model at ~…