…A project called OpenArc has quietly become one of the better ways to run local AI on Intel hardware. It's an inference engine built on OpenVINO that serves LLMs, vision models…
…Qwen3-Coder has consistently topped my benchmarks I couldn't find a better local model for Python development If you've spent any amount of time experimenting with local coding models over…
…Learn how HP and AMD are co-engineering AI workstations with high-performance local compute and the memory capacity to support larger models and datasets. The future is hybrid—running AI in…
…SuperClaw is built based on the OpenCode framework, with additional hybrid AI capabilities, privacy controls, local context management, model routing, governance, and platform optimization developed by Intel. 1 Token consumption benchmark testing…
OpenJarvis is an open-source framework for building personal AI agents that run entirely on local devices. Motivated by the Intelligence Per Watt finding that local models already handle most real-world…
…SuperClaw is built based on the OpenCode framework, with additional hybrid AI capabilities, privacy controls, local context management, model routing, governance, and platform optimization developed by Intel. 1 Token consumption benchmark testing…
…Built from seven Bosgame M5 AI Mini PCs connected through USB4 Direct Connection, the system presents a scalable approach to private AI deployment and local large language model (LLM) inference. As AI…
Hello fellow local AI people! I took "you must create your own benchmarks" literally, and built a website for this. How does the end result look like Let's say I want to know which model has most common sense in its resp…
March 6th, 2026 the highest intelligence index score was 51 for frontier models. deepseek-ai/DeepSeek-V4-Flash-0731 that has an intelligence score of 50. If these benchmarks are accurate, models available to run locally …
Hi HN! Sipp is an open-source AI inference library for running local models in browsers with up to 3x faster decode speeds than alternative libraries.My background is in HCI (human-computer interaction) and graphics prog…
Hi HN, author here.Android Remote Control MCP is an MCP server that runs directly on your Android phone (no root, no ADB, no computer in the middle) and lets an AI agent drive real apps the way a human would: it reads th…
Liquid AI put out LFM2.5-VL-3B today, which is a 3.1B vision model that weighs roughly 2GB and fits well on a phone Benchmarks are benchmarks so I tried something sillier. Took a photo of a little Steve toy I have, gave …
…Local Benchmarks Definition of segment in these tests. In the context of the local benchmarks, a segment is one bounded execution unit of TGP: the model decodes a limited portion of the…
…in my own local LLM workflows… Tool calling is probably the biggest gap nobody's checking. There's a benchmark called BFCLv3 that measures how reliably a model handles function calls, scored…
…Drop friction with friendlier installers, UIs, and hardware detection to make local AI mainstream. For the longest time, the conversation around local AI models revolved around quality. They were either too slow…
