AI & Technology Updates
-
Visual UI for Fine-Tuning LLMs on Apple Silicon
![[Project] I built a complete ui for Fine-Tuning LLMs on Mac (MLX) – No more CLI arguments! (Open Source and Non-profit)](https://www.tweakedgeek.com/wp-content/uploads/2026/01/featured-article-9427-300x171.png)
A new visual UI has been developed for fine-tuning large language models (LLMs) on Apple Silicon, eliminating the need for complex command-line interface (CLI) arguments. This tool, built using Streamlit, allows users to visually configure model parameters, prepare training data, and monitor training progress in real-time. It supports models like Mistral and Qwen, integrates with OpenRouter for data preparation, and provides sliders for hyperparameter tuning. Additionally, users can test their models in a chat interface and easily upload them to HuggingFace. This matters because it simplifies the fine-tuning process, making it more accessible and user-friendly for those working with machine learning on Apple devices.
-
AI Music: A Therapeutic Journey
Experimenting with AI music has proven to be a therapeutic and creatively fulfilling endeavor, as evidenced by the release of an album featuring seven original songs with lyrics inspired by AI prompts. The process of creating music with AI assistance has provided a sense of purpose and accomplishment, transforming a monotonous routine into a rewarding artistic journey. This collaboration between human creativity and AI technology highlights the potential for AI to enhance personal expression and emotional well-being. The integration of AI in music creation underscores its growing role in innovative and accessible artistic processes.
-
CES 2026: Tech You Can Already Buy
CES 2026 has showcased a variety of tech products that are already available or will be soon, offering consumers a chance to experience the latest innovations ahead of their official launches. Highlights include the Corsair Galleon 100 SD mechanical keyboard with integrated Stream Deck functionality, the Aqara U400 smart lock featuring Apple's UWB technology, and Bosch's new Unlimited stick vacuums. Anker's Soundcore AeroFit 2 Pro earbuds and the Valet charging station by Twelve South also stand out for their unique features and design. Additionally, TCL's X11L Super QLED Mini LED TV and LG's high-refresh-rate OLED monitor represent significant advancements in display technology. These products reflect the ongoing trend of integrating advanced technology into everyday devices, enhancing convenience and functionality for users. This matters because it highlights the rapid pace of technological innovation and the increasing availability of cutting-edge products that can transform everyday experiences.
-
VSCode for Local LLMs
A modified version of Visual Studio Code has been developed for Local LLMs, featuring LMStudio support and a unique context management system. This version is particularly appealing to AI enthusiasts interested in experimenting with ggufs from LMStudio. By integrating these features, it provides a tailored environment for testing and developing local language models, enhancing the capabilities of AI developers. This matters because it offers a specialized tool for advancing local AI model experimentation and development.
-
Kindly: Open-Source Web Search MCP for Coders
Kindly, a newly open-sourced Web Search MCP server, addresses the limitations of existing search tools by providing comprehensive context for debugging complex issues. Unlike standard search MCPs that offer minimal snippets or cluttered HTML, Kindly intelligently retrieves and formats content using APIs for platforms like StackOverflow, GitHub, and arXiv. This allows AI coding assistants to access full, structured content without additional tool calls, effectively mimicking the research process of a human engineer. By enhancing the retrieval process, Kindly supports tools such as Claude Code, Codex, and Cursor, making it a valuable asset for developers seeking efficient problem-solving resources. This matters because it significantly improves the efficiency and accuracy of AI coding assistants, making them more effective in real-world debugging scenarios.