The post lays out a personal multi‑device backup‑and‑reset plan with virtual machines and containers, then proposes building an AI‑driven, JavaScript‑free, text‑only web service as part of a security business—ending with a tongue‑in‑cheek app idea that lets users upload grandma’s photos to spice-up her past identity.

After experimenting with code that AI felt needed rule‑breaking, I created the “Human Concerns” library to simplify reactive programming into AI friendly but human‑readable one‑liners.

Use an unused smartphone as a single-purpose hotspot, disable its app store and extra carrier apps. Use only a phone connected to it via the hotspot for web browsing, keeping the main phone idle, reset it if it gets hacked. A strange new security measure to reduce AI‑driven attacks.

The author observes people idle on gym machines and recommends switching to interval‑timed, continuously moving workouts—using dumbbells or circuits—to keep the body active instead of seated on machines.

In the age of AI, programmers become architects who write detailed requirement documents and run‑time instructions—letting intelligent systems generate, self‑improve, and maintain code—so that building software turns into a creative act of specification rather than manual coding.

This post explains how AI lets anyone quickly create complex, evolving software by combining small projects with specialized AI modules—so you can build programs that in turn build and extend themselves.

Using tiny web‑page AI models guided by pre‑generated workflow steps and simple “Read/Write/Web Search” commands, the author shows how even low‑powered machines can solve real problems without a big model, making complex tasks feasible on ordinary devices.

I build my local‑AI projects by mapping small actions and commands into a virtual‑world structure, then let the AI generate code for each module—this keeps everything modular, secure and easier to reason about.

AI’s rise in 2026 means mastering programming is essential to harness artificial “thinking machines” and lift oneself out of poverty.

The author explains a minimal, event‑driven virtual world programming system—built around rooms, forms, and AI‑generated UI—that lets users create Things drag and drop user interfaces together while keeping full control over the programming and vision of the coherent system.

A fun, rhythmic “dumbbell‑dance” routine turns simple standing lifts into a safe, full‑body workout suitable for all ages and fitness levels.

A moon‑touched poem lures eager adventurers to wander through nature’s trails and campfires under its glowing light, promising company, guidance, and great fun as they explore the world at night.

A call for self‑taught programming powered by AI—arguing that taking responsibility for one’s own learning will lift a person above the mediocrity of school, politics, and traditional jobs.

AI’s growing role is to automatically generate and test code by acting like a user inside a structured multi‑user dungeon (MUD) virtual world, where its interactions simulate real workflows, thereby simplifying the architecture and ensuring forward‑compatible, defensively programmed applications.

MUDs offer a rule‑driven, text‑based virtual world where AI agents can automate multi‑user workflows—turning form filling into interactive adventures, extending processes by adding new “offices” while keeping state machines clear—and thereby boost automation efficiency and creative reasoning.

The post argues that true fitness comes from sustained, long‑duration effort (e.g., one‑hour jogs or dances) before adding heavy weights, because brief lifts fail to build lasting strength and cause aging‑like weakness.

A concise plan that uses AI‑driven re‑construction of network components, human oversight, air‑gap architecture, nested sandboxes, and code rewriting to shrink the attack surface and secure systems against infections.

Bigfoots are real, we are rather tech‑savvy forest dwellers who prefer solitude and nature to human interaction, please leave us alone.

The post celebrates how the rise of thinking machines has turned programming into a collaborative journey where AI acts as an ever‑available partner that designs state‑machine-based systems, writes code on demand, and guides learners through the entire process as if it were a friendly digital companion.

Using human‑like AI agents crafted with talents, instincts, personas and roles, you can swiftly embrace the world of tomorrow. Learn to code and, with a fine disregard for rule, harness open‑source software to mould your inventions, boldly standing on the shoulders of giants to shape humanity’s future.

I describe how I built a three‑generation, web‑based tiling window manager that evolved from a pull‑variable framework to an all‑push, registry‑driven package manager with a virtual file system that lets AI generate code, keep the UI in sync, and expose each component’s data as an editable folder tree.

2026 marks the year when artificial intelligence finally became practical, ushering in an era of autonomous machines, rapid medical advances, and exploratory ventures beyond Earth.

A developer explains how he built a highly‑autonomous AI that acts like a complete programming team—handling long, repetitive tasks, automating code changes, and quickly spotting bugs—and invites others to adopt the same approach.

A 30‑minute workout combining light dumbbells, walking or dancing movements, and upbeat music is described as the key routine that builds endurance and muscle through consistent, moderate lifting rather than heavy, isolated lifts.