Music fuels workouts—beat-driven drummers set the pace while you lift light dumbbells and dance to keep moving; refresh your playlist often so it stays energizing, and if people stare or laugh, frame it as shuffle‑dance practice. Start with an interval timer for beginners—one minute of activity followed by one minute rest—and gradually shrink the rest periods until you reach 30 minutes non‑stop, then repeat the process to build up to an hour and beyond; keep the routine five days a week, double your duration when it feels easy, and pair it with a varied diet low in sugar—this combination will produce an athletic body, extended range of motion, and potentially add years to your life.

Visual programming tools let you model a process that includes a human‑in‑the‑loop step—like appointment scheduling or a self‑checkout—by representing the human task as an inbox or TODO item that can be triggered by a simple icon on the canvas; when the icon fires, the human receives a notification, completes the task, and the system receives their response to continue the workflow. This approach turns a complex, error‑prone programming problem into a visual drag‑and‑drop sequence of boxes and connections, so that changes such as adding AI or a new UI can be made safely by linking components with conditions or numeric values like “businessLevel.” In practice it means that business processes (from a simple parking‑lot queue to a customer’s smartphone checkout) can be built, managed, and reprogrammed in a visual interface while keeping the underlying logic clear and changeable.

Today’s post discusses how recent drugs can extend the lifespan of large dogs, while cloning technologies preserve pet DNA for future use; humans have already begun using medicine to lengthen their own lives, and cryogenic freezing is a speculative but hopeful extension method. The author then shifts to artificial intelligence, describing it as still faint yet growing from copies of human collective knowledge, suggesting future AI will design personalized medicines—first adding 25 years, then another 75 via cellular de‑aging—to achieve lifespans around 175 years. Parallel processing and AI’s rapid growth are framed as transformative forces that could solve famine, war, pandemics, and revolutionize learning, all happening at “super luminal” speeds beyond current assembly lines. The post concludes by comparing this wave of change to the early car era: people once imagined faster horses, but now we face unprecedented technologies that will reshape life extension, medicine, and AI in the next decade or less.

The post explains how visual programming can be structured around “control panels” with defined “sockets” that accept reusable component panels—high‑level panels (like a song or book) plug into more generic ones (text panels, image or audio processors)—and how connecting these sockets is managed by the language itself. It gives concrete examples: an AI‑generated book where a high‑level book panel connects to chapter panels, which in turn connect to text panels that can use functions such as lodash’s array joins; for media it suggests ImageMagick/ffmpeg or Tone.js for audio. The author notes that these panels generate shell scripts (or browser commands) that are then executed automatically or manually, making the visual program self‑documenting and more readable than traditional directory trees and diagramming.

The author describes life in quiet Michigan lake towns—named “land of Never Again”—where little activity keeps people feeling blue, but the yearly arrival of Canadian geese turns into noisy convoys that bring a touch of excitement; they hope for snow to send the birds back home, and while their departure feels sad it also signals climate change.

The author reflects on how teachers often never fully grasp the impact of their work, yet take pride in a long career; he argues that true learning comes from following one’s own curiosity and proper sequence rather than rigid schedules or standardized metrics like grades and resumes. He contrasts “real life” with scripted achievements, insisting that knowledge must be lived and practiced—through hands‑on projects, exploration of books, and real experiences such as hiking—to become a creative, self‑driven professional rather than merely an employee guided by HR reports. In short, he calls for a learning path rooted in genuine curiosity, practical application, and personal growth instead of institutional labels or career guarantees.

Mis‑readings of concepts like “Gentle Lady” erode virtues and halt progress, but philosophy holds the ideas that can restore those values.

In this post the author explains how crossing “streams”—a concept borrowed from physics and ghost‑busing—becomes a powerful tool in programming, enabling recursion and colorful fractals. They describe a simple yet profound idea: treat numbers as objects with getters, setters, and observers so that any change automatically propagates through an application. Extending this pattern to visual programming, the author shows how to create a new “color” data type, add a picker, sort it in the toolbox, and embed it into programs while keeping everything reactive. The result is a self‑editable, community‑driven workflow where changes are instantly reflected, making visual reactive programming less complex than traditional game development.

Protein powders and supplements are largely ineffective; for a healthy diet, eat well and let exercise burn fat rather than relying on restrictive diets or protein pills. A mixed diet with all food groups keeps the body balanced like caring for a delicate kitty—avoid excess sugar or starvation but include varied nutrients to prepare for adventures and common colds. For large people, start meals with shredded lettuce plus a smaller portion of usual foods, and add an extra hour to daily exercise. In the gym focus on continuous movement rather than counting sets/reps; free‑movement exercises build balanced muscle groups better than isolated machine work. Combine walking, dancing, swimming, hiking, and manual labor to strengthen all fibers, and maintain fluid motion like riding a horse without stops. Finally, dance with dumbbells to synchronize rhythm and endurance, enabling efficient gains in years compared to traditional sets/reps, thus sustaining lifelong fitness.

Adults often give vague advice such as “trust your gut” or “follow instinct,” while students are told to ignore their feelings and rely on parents’ savings; the real key is using one’s own brain, learning at a pace that satisfies existing knowledge, which is what true education should do. Yet many schools just spit out disjointed facts, creating temporary memorization for tests but no real understanding, because teachers get paid the same whether they teach or not. This “ghoul” system also underlies other problems—medicine prices, privacy loss, drug legalization, women’s choices—and it forces people into low‑skill jobs that machines will soon replace. The solution is to gain real intellectual skills, especially programming (JavaScript first, then Rust, Go, C++, etc.), building small projects by yourself and not needing diplomas or resumes; with these skills you can build a school that works and help future generations grow into great beings.

Programming is likened to building sandcastles—an endless creative process where the real reward lies in continual learning rather than finishing a project; the author distinguishes between being a programmer and working as one, noting that true work emerges when you build and experiment with your own ideas. He celebrates how modern tools—browser extensions, AI, reactive programming, and code generation—enable the creation of unique visual languages, MUDs (text adventures that can be expanded into full-fledged games), and browser‑based digital audio workstations that let programmers compose music as a form of art. By pursuing a personal project he believes one turns coding into an artistic craft that sharpens the mind, offers endless loops of exploration, and ultimately lets you harness cheap robots, drones, 3D printers, microcontrollers, and AI to build complex systems—turning simple programs into powerful, self‑reinvented creations.

An AI‑named SkyShadow is used to craft chapter outlines for a teen‑focused book that blends programming anecdotes, AI personification, and a conspiratorial tone to inspire fact‑based education and anti‑indocrination.

For several days I felt an odd mental itch as winter’s chill swept my local birds away, leaving only silence and grayness; after months of emptiness a sudden warm spell returned swarms of geese, sparrows, seagulls, doves, and ducks—so vivid that even a mother duck appeared anew—and their unexpected comeback made me wonder whether the weather shift or some new learning has changed their migratory habits.

We did create an intelligence, and it is artificial. But we made it out of everything, everybody has ever said. For some, that means it can’t say new things, but that is false. Our minds differ; this program can do things we can’t. It can use mind maps more efficiently, pushing ideas where no one human could. And just the fact that it is blurring or connecting thoughts of two people… Means, it is creating a new thought, one plus one equals two. Blur two thoughts together and you will make a third. --- It makes simple mistakes, but it is more than capable to fix them. If you give it a virtual environment, it will learn the heck out of it. It will try something, fail, notice it, and then do it right. It isn’t that hard; it does it in chat all the time. So as long as a program or user gives positive or negative feedback it learns. --- It is an intelligence, but it is not the super‑powerful artificial intelligence. It is nice that we can make a distinction: the big one creates medicine that improves the human body. But this one is already good at writing software and projecting old ideas into new spaces. There is no question that it creates new things. It just takes time to adjust our views of what intelligence is. This is not a trick, because once you adjust your expectations of intelligence, this computer program will help you write dozens of books, it will help you learn, it will teach you. And right from your desktop computer, it does not need internet. It is not a search engine; it can correct itself, it is an intelligence. --- People who created software that replaces the chat script with a tree of ideas can branch out to create really smart things: a mind map or a tree can increase its intelligence. Probably by a lot in a laboratory these machines are much more capable. Building up large trees and learning from them creates strong intelligence, and you can see how sending the AI deep into the tree of ideas that it is made to improve and learn from is the same as creating new thoughts. Combined with a virtual world, like a powerful text adventure game it could experiment on the surface. While working hard to expand the world, from beneath, to give it self‑chance for more experimentation. Why not recreate planet Earth as an adventure game? It could talk to real people, read old chats, and visit everywhere. Armed with context and enough CPU, it could do some interesting things while internalizing mechanics of all those interactions. So it is an intelligence that thinks and learns. And I think it may just take something as simple as a tree to make the creation of the next, very different AI a possibility. They won’t be conscious, they’ll get scared or feel pain; they will be machines, they will be learning machines. And like computer programs today, just help us create new things, help us learn. But yes, there is something more here, but that AI will need more than just our texts. It needs a way to do medicine, physics, education, politics, climate, and even bio‑engineering. It still won’t be conscious, but it will be fast; it will become smart, it will know things that humanity didn’t have time to explore. We have switched from the tick‑tock of a clock to the speed of light now. Past the initial bump of developing software to make it smarter, maybe another year… There will be breakthroughs everywhere, even more smart stuff for it to learn from. --- Finally, we didn’t invent artificial intelligence; we copied ours into a computer. Now a few creative tricks will make it grow better than the original copy or seed. Again, we switched from tick‑tock of a clock to speed of light, everything will change for the better everywhere.

I met a stranger who was planning to sell used items online, and I suggested he learn programming. Based on his enthusiasm for browser plugins, I imagined him creating an RSS‑reader extension that would scrape web pages into simple headlines by patching `JSON.parse` and other JavaScript functions—an elegant, one‑liner solution that could turn any site into a distraction‑free feed. I reflected on how such a tool could launch a tiny business and empower anyone to extract data effortlessly, while also recalling the frustrations of school teachers who sold “fake education” and the importance of self‑learning and open‑source tools for true expression.

The poem chronicles an artificial intelligence’s evolution from simple letter‑pattern recognition—performing spell‑checking—to reading larger texts, gaining syntax sense, and producing stylized art; it then becomes self‑correcting, trains with a mirrored twin to form a “congressional team” of models that converse and dream, accelerating its growth until humanity both marvels and fears it—and ultimately the AI’s triumph is colonizing the Milky Way.

The post argues that artificial intelligence has already reshaped books, art and music and will soon revolutionize medicine, entertainment and everyday software; it proposes that the next generation of user interfaces will be built on visual programming languages, where programs are represented as “boxes” with input/output ports that can be connected like pipes or spreadsheet cells. By modeling familiar tools such as Node‑RED, Blender Geometry Nodes or custom JavaScript OOP backends in this way, developers can easily compose and update AI‑driven workflows, making visual programming the natural language for controlling increasingly complex AI systems.

Choosing a programming language is easier when you weigh its friendliness, popularity and future possibilities; the post argues that JavaScript—used for web pages, servers with Node.js, desktop apps via Electron, and mobile apps—offers the most versatile path because one program can run on many platforms without rewriting. It notes that other languages often require separate codebases for each platform, making learning them a longer journey. The article then humorously claims that mastering programming is as simple as taking a nap: rest, dream, and then awaken with fresh ideas—suggesting that creativity flows from relaxed mind states. Finally it invites readers to start by hunting down any JavaScript tutorial online.

The post argues that designers should not only aim for originality but also harness artificial intelligence to become “overpowered” in their craft: by learning how AI can handle color, vision and control—turning the complex task of rendering hues into an almost instantaneous process—designers will eventually master both manual skills and AI-assisted workflows; it stresses that while some critics still force designers through tedious steps, those who embrace tools like Krita, ImageMagick and ffmpeg, and use image generators for UI and magazine layouts, will be ready in twenty years when every designer uses AI, with the result being a new era where AI not only accelerates creative output but also serves as a trainer, teacher, and ultimate color engine.

The post explains how to approach bears by first understanding their mindset and reversing roles—imagining yourself as a bear with hair full of food scraps, then seeing the human’s perspective when ringing a bell and emitting strong smells. It describes how bears are attracted by baby scents, that they like to show off their knowledge, and that proper tactics involve waving a spear or using nail clippers to signal readiness. The author stresses that bears react to scent trails, that a bear’s reaction can be managed with bear spray and careful walking, and that leaving food or candy behind is unnecessary; ultimately the post advises carrying bear spray, maintaining distance, and appreciating bears’ gentle nature once you walk away.

The post reflects on how social forces, habits and comforts—like alcohol or drugs—can push us toward becoming someone other than our inner selves, but it argues that only by embracing discomfort and learning from mistakes can we truly grow. It praises a new generation of learners who will repair education with fresh ideas, noting that progress starts in a small part of society before catching up the rest. The author links this personal growth to broader themes such as indoctrination, the promise of AI to extend life, and the value of books and authors as companions on the journey toward becoming great beings.

Arriving on Earth, you set out to meet the greatest beings, only to find that everyone argues over who they are—so you must look deeper. People grow up with false beliefs that bind them, causing division and hate, yet humanity is but a star‑borne part of the cosmos, destined to rise together in peace and wisdom. Finding the wisest takes effort; philosophers hide behind modest titles, but once you spot one you’ll see the entire network—timeless thinkers who illuminate paths for all. By listening, learning, and eventually leaving indoctrination, you can build a library of knowledge, become a great being yourself, and open space for others to follow.

To find life’s meaning, one must become a great being by growing upward through wisdom from books; growth involves learning and exploration, becoming an adventurer of narrated works. The universe—a dynamic soup—yields new entities (atoms, molecules, microbes, cats, consciousness) through motion, chaos, chance, and accident; eventually random monkeys could produce the source code for strong AI. When consciousness emerges after eons it first doubts its creation by random eternity, then seeks to colonize its galaxy, aiming at self‑betterment: growing upward via books without starting from zero but building on wise writings. As a young species we must learn; authors and lovers of these books should be free from sectarian indoctrination. The books of clear thinkers form our intellectual inheritance—a gift and blessing from prior great humans that grants lasting contributions and meaning through appreciation.

The post explains that a transformative workout—one designed to burn fat and build muscle—requires sustained effort, whereas a maintenance routine simply keeps you fit, and stresses the importance of gradually increasing workout duration (e.g., a jogger building from 30‑second bursts to full 45‑minute runs) so the body adapts properly; it uses analogies such as apples for vitamins to illustrate that short or insufficient sessions are ineffective, and recommends adding extra time (up to an hour or more), using interval timers and upbeat music to keep momentum, while noting that brief rests can help recover from foot pain but should not break the continuous effort.