Running local models is good now

kept by eddie jun 16

Local agentic coding models have reached surprising quality and usability over the past six months, now offering ~75% of frontier-model accuracy for many development tasks on a 64GB M2 Mac.

How to setup a local coding agent on macOS
A developer details setting up a local coding agent on macOS using llama.cpp, Gemma 4, and Pi for real-time terminal-based AI assistance.
also on LM Studio, Llama.cpp, Ollama, pi, #open-source, #ai-coding, #developer-tools
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Open-weight models from China are commoditizing AI capability, breaking the monopoly moat of US closed labs, prompting protectionist moves that will harm long-term US competitiveness.
also on Llama.cpp, Ollama, #open-source
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM - Ars Technica
Google's Gemma 4 12B model uses Multi-Token Prediction and a streamlined multimodal encoder to run efficiently on laptops with 16GB RAM, matching larger models.
also on LM Studio, Google, #open-source, #developer-tools
AI's Plummeting Prices Are a Software Story, Not a Hardware One
The rapid decline in AI inference costs is driven by software innovations rather than hardware, enabling local open-weight models to compete with frontier APIs.
also on Llama.cpp, Qwen, #open-source, #developer-tools
OpenWorker — AI that gets your everyday tasks done
OpenWorker is a free, open‑source AI agent that runs locally, integrates with everyday tools like Slack and calendars, and executes multi‑step tasks while requiring user approval before key actions.
also on Ollama, Google, #open-source, #ai-coding, #productivity, #developer-tools