Researchers at Huawei, Technical University of Darmstadt, and ETH Zurich have developed a new framework integrating LLMs with the Robot Operating System. This framework aims to improve robots' ability to understand and execute natural language instructions.
The system translates user commands (like "pick up the green block") into actionable steps for the robot, using either direct code execution or a decision-making "behavior tree." Testing has shown promising results, with robots successfully completing tasks using open-source LLMs. This work, published in *Nature Machine Intelligence*, represents a step towards more versatile and responsive robots capable of operating in real-world environments. The code is available as open-source.
The system translates user commands (like "pick up the green block") into actionable steps for the robot, using either direct code execution or a decision-making "behavior tree." Testing has shown promising results, with robots successfully completing tasks using open-source LLMs. This work, published in *Nature Machine Intelligence*, represents a step towards more versatile and responsive robots capable of operating in real-world environments. The code is available as open-source.
>It is a 15KB, zero-dependency TypeScript library that allows for multiline text measurement and layout entirely in "userland," bypassing the DOM and its performance bottlenecks.
>Pretext turns text blocks on the web into fully dynamic, interactive and responsive spaces, able to adapt and smoothly move around any other object on a webpage, preserving letter order and spaces between words and lines, even when a user clicks and drags other objects to intersect with the text, or resizes their browser window dramatically.
>Pretext turns text blocks on the web into fully dynamic, interactive and responsive spaces, able to adapt and smoothly move around any other object on a webpage, preserving letter order and spaces between words and lines, even when a user clicks and drags other objects to intersect with the text, or resizes their browser window dramatically.
V3SP3R, also known as Vesper, transforms the Flipper Zero into an AI‑powered command center. Users can control the device through natural language, voice, or images, leveraging OpenRouter models such as Hermes‑4 or Claude Sonnet‑4. The app offers real‑time interaction with Flipper subsystems—SubGHz, IR, NFC, BadUSB, GPIO, and more—while providing multimodal inputs including photo analysis and smart‑glasses integration via a Mentra bridge. Features include a visual waveform editor, AI‑generated payloads, a FapHub browser, resource search, and a risk‑aware permission engine that classifies actions and logs all activity. The project is open source under GPL‑3.0 and supports Android Kotlin with Jetpack Compose, Hilt, and Room.
MinerU is a tool that converts PDFs into machine-readable formats (e.g., markdown, JSON), allowing for easy extraction into any format.
Nabu Casa is the company behind Home Assistant, offering cloud services, hardware, and supporting the open-source project. This article details their role and how they contribute to the smart home ecosystem.
Ship measurable improvements in your GenAI systems with Opik, your open-source LLM observability and agent optimization platform. Trusted by over 150,000 developers and thousands of companies.
NVIDIA AI releases Nemotron-Elastic-12B, a 12B parameter reasoning model that embeds nested 9B and 6B variants in the same parameter space, allowing for multiple model sizes from a single training job.
LLM Council works together to answer your hardest questions. A local web app that uses OpenRouter to send queries to multiple LLMs, have them review/rank each other's work, and finally a Chairman LLM produces the final response.
The series of articles by Adam Conway discusses how the author replaced cloud-based smart assistants like Alexa with a local large language model (LLM) integrated into Home Assistant, enabling more complex and private home automations.
1. **Use a Local LLM**: Set up an LLM (like Qwen) locally using tools such as Ollama and OpenWeb UI.
2. **Integrate with Home Assistant**:
- Enable Ollama integration in Home Assistant.
- Configure the IP and port of the LLM server.
- Select the desired model for use within Home Assistant.
3. **Voice Processing Tools**:
- Use **Whisper** for speech-to-text transcription.
- Use **Piper** for text-to-speech synthesis.
4. **Smart Home Automation**:
- Automate complex tasks like turning off lights and smart plugs with voice commands.
- Use data from IP cameras (via Frigate) to control external lighting based on presence.
5. **Hardware Recommendations**:
- Use Home Assistant Voice Preview speaker or DIY alternatives using ESP32 or repurposed microphones.
1. **Use a Local LLM**: Set up an LLM (like Qwen) locally using tools such as Ollama and OpenWeb UI.
2. **Integrate with Home Assistant**:
- Enable Ollama integration in Home Assistant.
- Configure the IP and port of the LLM server.
- Select the desired model for use within Home Assistant.
3. **Voice Processing Tools**:
- Use **Whisper** for speech-to-text transcription.
- Use **Piper** for text-to-speech synthesis.
4. **Smart Home Automation**:
- Automate complex tasks like turning off lights and smart plugs with voice commands.
- Use data from IP cameras (via Frigate) to control external lighting based on presence.
5. **Hardware Recommendations**:
- Use Home Assistant Voice Preview speaker or DIY alternatives using ESP32 or repurposed microphones.
Mail-Archiver is an open-source, self-hosted email archiving system that allows you to take back ownership of your communication data. It's built with .NET and PostgreSQL, offering a responsive web interface for managing and backing up emails from multiple accounts.
