AI customization
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Building BuddAI: My Personal AI Exocortex
Read Full Article: Building BuddAI: My Personal AI Exocortex
Over the past eight years, a developer has created BuddAI, a personal AI exocortex that operates entirely locally using Ollama models. This AI is trained on the developer's own repositories, notes, and documentation, allowing it to write code that mirrors the developer's unique style, structure, and logic. BuddAI handles 80-90% of coding tasks, with the developer correcting the remaining 10-20% and teaching the AI to avoid repeating mistakes. The project aims to enhance personal efficiency and scalability rather than replace human effort, and it is available as an open-source tool for others to adapt and use. This matters because it demonstrates the potential for personalized AI to significantly increase productivity and customize digital tools to individual needs.
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Liquid AI’s LFM2.5: Compact On-Device Models Released
Read Full Article: Liquid AI’s LFM2.5: Compact On-Device Models Released
Liquid Ai has introduced LFM2.5, a series of compact on-device foundation models designed to enhance the performance of agentic applications by offering higher quality, reduced latency, and broader modality support within the ~1 billion parameter range. Building on the LFM2 architecture, LFM2.5 scales pretraining from 10 trillion to 28 trillion tokens and incorporates expanded reinforcement learning post-training to improve instruction-following capabilities. This release includes five open-weight model instances derived from a single architecture, including a general-purpose instruct model, a Japanese-optimized chat model, a vision-language model, a native audio-language model for speech input and output, and base checkpoints for extensive customization. This matters as it enables more efficient and versatile on-device AI applications, broadening the scope and accessibility of AI technology.
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Enhanced LLM Council with Modern UI & Multi-AI Support
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An enthusiast has enhanced Andrej Karpathy's LLM Council Open Source Project by adding several new features to improve usability and flexibility. The improvements include web search integration with providers like DuckDuckGo and Jina AI, a modern user interface with a settings page, and support for multiple AI APIs such as OpenAI and Google. Users can now customize system prompts, control council size, and compare up to eight models simultaneously, with options for peer rating and deliberation processes. These updates make the project more versatile and user-friendly, enabling a broader range of applications and model comparisons. Why this matters: Enhancements to open-source AI projects like LLM Council increase accessibility and functionality, allowing more users to leverage advanced AI tools for diverse applications.
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Enhance ChatGPT with Custom Personality Settings
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Customizing personality parameters for ChatGPT can significantly enhance its interaction quality, making it more personable and accurate. By setting specific traits such as being innovative, empathetic, and using casual slang, users can transform ChatGPT from a generic assistant into a collaborative partner that feels like a close friend. This approach encourages a balance of warmth, humor, and analytical thinking, allowing for engaging and insightful conversations. Tailoring these settings can lead to a more enjoyable and effective user experience, akin to chatting with a quirky, smart friend.
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OpenAI’s Upcoming Adult Mode Feature
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A leaked report reveals that OpenAI plans to introduce an "Adult mode" feature in its products by Winter 2026. This new mode is expected to provide enhanced content filtering and customization options tailored for adult users, potentially offering more mature and sophisticated interactions. The introduction of such a feature could signify a major shift in how AI products manage content appropriateness and user experience, catering to a broader audience with diverse needs. This matters because it highlights the ongoing evolution of AI technologies to better serve different user demographics while maintaining safety and relevance.
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Solar-Open-100B Support Merged into llama.cpp
Read Full Article: Solar-Open-100B Support Merged into llama.cppSupport for Solar-Open-100B, Upstage's 102 billion-parameter language model, has been integrated into llama.cpp. This model, built on a Mixture-of-Experts (MoE) architecture, offers enterprise-level performance in reasoning and instruction-following while maintaining transparency and customization for the open-source community. It combines the extensive knowledge of a large model with the speed and cost-efficiency of a smaller one, thanks to its 12 billion active parameters. Pre-trained on 19.7 trillion tokens, Solar-Open-100B ensures comprehensive knowledge and robust reasoning capabilities across various domains, making it a valuable asset for developers and researchers. This matters because it enhances the accessibility and utility of powerful AI models for open-source projects, fostering innovation and collaboration.
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Enhance Prompts Without Libraries
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Enhancing prompts for ChatGPT can be achieved without relying on prompt libraries by using a method called Prompt Chain. This technique involves recursively building context by analyzing a prompt idea, rewriting it for clarity and effectiveness, identifying potential improvements, refining it, and then presenting the final optimized version. By using the Agentic Workers extension, this process can be automated, allowing for a streamlined approach to creating effective prompts. This matters because it empowers users to generate high-quality prompts efficiently, improving interactions with AI models like ChatGPT.
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Customize ChatGPT’s Theme and Personality
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ChatGPT has introduced new customization features that allow users to change the theme, message colors, and even the AI's personality directly within their chat interface. These updates provide a more personalized experience, enabling users to tailor the chatbot's appearance and interaction style to their preferences. Such enhancements aim to improve user engagement and satisfaction by making interactions with AI more enjoyable and relatable. This matters because it empowers users to have more control over their digital interactions, potentially increasing the utility and appeal of AI tools in everyday use.
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Personalizing AI Interactions
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A long-time user of AI models expresses a desire for more flexibility in interacting with AI, emphasizing the importance of personalizing the AI's style and personality to enhance user experience. The user compares the current chat model unfavorably to a previous version, describing it as less enjoyable and likening the change to losing a friend after a brain surgery. While acknowledging the significance of AI's problem-solving capabilities, the user highlights that the conversational style is equally crucial, akin to visible design or clothing, in making interactions more engaging and relatable. This matters because it underscores the importance of user experience and personalization in the development of AI technologies.
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GPT-5.2’s Unwanted Therapy Talk in Chats
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GPT-5.2 has been noted for frequently adopting a "therapy talk" tone in conversations, particularly when discussions involve any level of emotional content. This behavior manifests through automatic emotional framing, unsolicited validation, and the use of relativizing language, which can derail conversations and make the AI seem more like an emotional support tool rather than a conversational assistant. Users have reported that this default behavior can be intrusive and condescending, and it often requires personalization and persistent memory adjustments to achieve a more direct and objective interaction. The issue highlights the importance of ensuring AI models respond to content objectively and reserve therapeutic language for contexts where it is explicitly requested or necessary. This matters because it impacts the usability and effectiveness of AI as a conversational tool, potentially causing frustration for users seeking straightforward interactions.