In Defense of Imagination: Why AI Art Is Not Theft, and What It Enables
7 mins
As AI-generated images and texts spark fierce debate in the art world, this article offers a different perspective: that AI is not stealing creativity, but unlocking it for countless people who’ve long had ideas but lacked the tools to express them. We explore what makes true art irreplaceable, what types of creative work are genuinely at risk, and why society must support those displaced by change. Rather than marking the end of human creativity, AI may just be its newest, most inclusive chapter.
Expanding GPU Capabilities on Notebooks and Mini PCs Without PCIe Slots via M.2 NVMe Slots
9 mins
Ever wondered if your compact notebook or mini PC could power serious AI, LLMs, or scientific simulations? In this guide, we show you how to retrofit systems without PCIe slots using M.2 NVMe adapters and GPU expansion boards—enabling multi-GPU setups even on budget hardware. While not a full desktop replacement, this approach offers surprising performance for specific workloads. Perfect for tinkerers, researchers, and hardware hackers.
Architecting Intelligence: A Comprehensive Guide to LLM Agent Patterns and Behaviors
48 mins
Large Language Models are transforming the way we interact with information—but their real potential is unleashed when they're embedded in agents that can reason, plan, and adapt. This guide explores the emerging architecture patterns behind modern LLM-based systems: from stepwise planning and research workflows to memory-aware decision-making, simulations, and autonomous behaviors. Whether you're building intelligent assistants, automated researchers, or multi-agent systems, this collection distills the key concepts, tools, and interaction models that make LLM agents truly capable. Through detailed explanations, structured pattern summaries, and illustrated diagrams, you'll learn how to compose powerful, reliable, and adaptive agent systems that go far beyond simple prompting.
Running JupyterLab Behind an Apache Reverse Proxy
2 mins
Want to access your internal JupyterLab instance securely over HTTPS? This quick guide shows how to set up Apache 2.4 as a reverse proxy for JupyterLab 4.2.5, with working websocket support and proper configuration on both ends. Learn how to avoid common pitfalls like broken kernels or missing output—and get your lab running smoothly behind your own public facing reverse proxy
Python Logging: A Beginner-Friendly Tutorial and Practical Reference
20 mins
Whether you're debugging a simple script or building a scalable application, this article walks you through the fundamentals of logging, the use of named and hierarchical loggers, configuration via dictConfig, and advanced handlers like HTTP, syslog, and rotating files. Learn how to go beyond print() and implement a long-term, structured, and maintainable instrumentation layer for your software — one that helps today and scales for tomorrow.
Social Media Algorithms and Harmful Content: Societies mirror vs. Intent
24 mins
Is social media really fueling hate on purpose? Contrary to popular belief, there’s no solid evidence of deliberate harmful intent. Instead, algorithms amplify whatever sparks the most engagement—often divisive or emotional posts—simply because we, as users, pay more attention to them. This dynamic functions more like a mirror of society’s existing biases than a direct manipulation scheme. The real tension emerges when the rush for clicks collides with long-term user well-being, revealing that negativity thrives largely through our own online behaviors rather than calculated corporate strategy.
Goth Subculture Visibility and Economic Crises: Comprehensive Analysis
28 mins
Could the goth subculture's prominence serve as a hidden barometer of economic crisis? Throughout recent history, waves of goth style, music, and aesthetics have seemingly risen alongside financial downturns. This comprehensive analysis dives deep into academic insights, media narratives, anecdotal histories, and comparisons with other subcultures, examining whether goth truly reflects societal anxieties during tough economic times—or if it's merely coincidental. Explore the intriguing relationship between dark fashion and economic gloom, as we uncover whether the goth aesthetic is more than just a style choice, but possibly a cultural reflection of deeper societal undercurrents.
How I Use Large Language Models (LLMs) in My Daily Work and Hobbies
16 mins
In this article, I explore the various ways I integrate large language models (LLMs) like ChatGPT and LLAMA into my daily work and personal projects. From summarizing scientific papers and refining research communication to enhancing creativity through AI-generated artwork and automating everyday tasks, LLMs have become invaluable tools in my workflow. I also discuss how AI can assist in coding, structuring complex ideas, and even helping friends navigate social and emotional challenges. Whether you're a researcher, a maker, or simply curious about AI's capabilities, this article offers insights into practical, real-world applications of LLMs.
Running Ollama on a CPU-Only Headless FreeBSD 14 System
4 mins
This mini guide walks through compiling and running Ollama on a headless, CPU-only FreeBSD 14.2 system with an Intel Alder Lake-N97 processor. It covers why one might opt for CPU-based inference, the Vulkan-related issue preventing execution without a GUI, and how to disable Vulkan by recompiling from ports. The article provides step-by-step instructions for extracting, modifying, compiling, and installing Ollama, along with details on running inference and transferring models to air-gapped systems.
Do LLMs Feel? Exploring the Boundary Between AI Simulations and True Emotion
6 mins
Large Language Models (LLMs) exhibit behavior that appears empathetic, leading to discussions about whether they genuinely feel emotions or merely simulate them. This article explores how LLMs generate emotionally resonant responses, relying on statistical pattern recognition rather than subjective experience. It presents arguments from functionalism and behaviorism that suggest LLMs may be functionally equivalent to emotional beings, while critics highlight the lack of neurochemical processes and self-initiated emotional states. The discussion also raises philosophical questions about human cognition, given that psychology often models human emotions statistically. As AI progresses, distinguishing between true emotional experience and advanced simulation will remain a key debate in both science and ethics.
