Reachy Mini goes fully local

Adding MCP Tools to Reachy Mini

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Run a Local LLM with OpenClaw on Your Mac Mini

Tired of your monthly API bill? Follow this tested guide to set up a high-performance local LLM on your Mac Mini without the headaches.

OpenAI o3-mini

H Company's new Holo2 model takes the lead in UI Localization

Introducing the Palmyra-mini family: Powerful, lightweight, and ready to reason!

Analysis of Numerical Localisation in LLM Translations

arXiv:2608. 05232v1 Announce Type: cross Abstract: The work of Tang et.

My AI Couldn’t See My Files — I Built a Zero-Dependency MCP Server

I got tired of copying files into an AI chat just to get feedback. So I built a pure Python MCP server that gives AI tools direct access to my local project—no frameworks, no dependencies.

Los Movimientos, Part II: Solving Large Pickup-and-Delivery Problems with Adaptive Large Neighborhood Search

Building an ALNS heuristic in Python for vehicle routing, time windows, capacity constraints, and mandatory driver breaks. The post Los Movimientos, Part II: Solving Large Pickup-and-Delivery Problems with Adaptive Large Neighborhood Search appeared first on Towards Data Science .

I Tried Fine-Tuning a Robot AI Model on Colab. Here Is What Worked

A reproducible 100-step LoRA fine-tuning run for OpenVLA, with dataset checks, Colab setup, training metrics, and W&B evidence. The post I Tried Fine-Tuning a Robot AI Model on Colab.

The System Always Knows: Why Local Efficiency and System Performance Are Not the Same Problem

How local optimization in last‑mile delivery can quietly break the system The post The System Always Knows: Why Local Efficiency and System Performance Are Not the Same Problem appeared first on Towards Data Science .

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