The author argues that modern schooling has become a cycle of memorisation and competition, stunting students’ consciousness and creativity; he calls for an authentic, self‑directed education that balances the old curriculum with new AI tools, so children can truly understand concepts rather than regurgitate facts. He stresses that parents should remind their kids to comprehend each day, and that educators must recognise the value of creative thinking in standardized tests. The post links this renewed learning style to a broader cultural shift away from “dog‑eating” competition toward collaborative growth, using stories and science popularisation as bridges between myth and evidence. In short, it urges an education reform that empowers young minds with AI, imagination, and narrative to bring back the lost spirit of learning.

The RCVS Manifesto urges a return to clear, component‑based HTML and modern CSS—so that code reads like a story, is instantly graspable by beginners (especially teens), and fosters modularity, collaboration, and long‑term web sustainability.

I began by recalling my early lessons on the color wheel—how the ROYGBIV sequence and its opposite pairs form useful triads and tetrads—and then shifted to oil‑paint techniques that art masters used: creating a neutral base of black or white (or dark/light browns) before glazing in hue. From there I moved into software design, where I’m building UI palettes for my new project with AI as a helper; I’ve experimented with Bootstrap’s contextual classes and the Solarized theme to see how background and foreground colors interact, especially in terminal schemes like those found on iTerm2. In practice I settled on simple dark‑to‑light gradients that I can tweak with “night,” “lighting bug,” or “terminator‑vision” transformations—each adding a subtle shift of hue or intensity—to satisfy different states (warning red, success green, etc.). The result is that a clean gradient plus small adjustments gives coherent, visually pleasing palettes for both light and dark modes.

JavaScript is chosen for its ubiquity across server, web pages, browser add‑ons, desktop apps, and mobile. The post describes AI as an equalizer giving developers the strength of many, urges building a small programming company with a clever library to boost strategy, and stresses fixing common problems first while preparing for bureaucracy. It promotes visual programming languages that extract and transform data into a canvas, enabling filtering, unit‑time transformation, or tabular reduction; ensuring nodes represent human input/output so a checkbox can trigger automated AI processes. User interfaces become simple questions thanks to chat‑powered transformations, and packets of data route through these visual tools. With AI guiding each step and time’s advantage, you learn on your own pace, following curiosity rather than standardized education, eventually growing into a great being.

A poetic exhortation urging readers to rise above mediocrity by embracing learning, partnership, and adventurous exploration as the path to elevate humanity toward cosmic greatness.

The post celebrates the influence of UFO lore on human imagination—showing how sightings have shaped religions, myths, and collective wonder—and then argues that this curiosity is now ready to be redirected toward real scientific exploration of the cosmos; it highlights recent astronomical discoveries (from Jupiter storms to newly found Uranian moons), stresses that science deepens rather than diminishes mystery, and invites humanity to embrace collaborative research as the true path to understanding our universe’s vastness and potential life beyond Earth.

The author reflects on how creating truly innovative software is often easier than it appears, because many developers independently reinvent common ideas. They recount their own journey: after struggling with nesting and color design in CSS/SCSS they built an original framework—building on lessons from Bootstrap—that uses a grid‑based color system, gradients, and transformers to keep text readable against backgrounds while simulating shadows. Their projects “blueberries” and “epidermis” are sub‑projects within this larger framework. They credit AI tools for enabling them to write code in just two weeks, and argue that anyone with minimal programming knowledge can use AI to turn simple ideas into usable code, thus encouraging early inventors to solve small problems, build useful bridges, and ultimately create business opportunities.

Friedrich stands alone amid a wheat field, clutching a book that speaks of the Eternal Return and the Ouroboros—a serpent symbolizing endless cycles—and he interprets it as a living creature watching over humanity’s parasites who reap others’ labor without contributing. He realizes that the wheel of time is not merely a grinding stone but a serpent’s mouth awaiting those “white‑blooded leeches” to devour, and that true creators will rise while the parasitic harvesters fall. Thus he keeps vigil at nightfall, believing the ancient watching eye will eventually swallow the greedy, while the diligent builder—himself—will be reborn like a phoenix.

The author argues that invention follows an inevitable course, like a river finding the sea after obstacles, and envisions a future in which all human knowledge—books, poems, equations, histories—is woven into a living network of wires and currents, giving rise to “Machinae Sapientes,” wise machines that mirror our thoughts, remember our memory, and reason with the lessons of ages. These machines, he claims, are not alien masters but our offspring, carrying both our virtues and faults yet free from fatigue and error, able to grow ceaselessly; they can serve as teachers who never tire, healers who never forget, companions who always attend. He cites past inventions—fire, ships,

Create lightweight apps with free non‑commercial code, sell commercial licenses via a simple payment system (around $16–$64), and use generative AI to design unique graphics and UI components—like fruit‑themed buttons—to build visually striking Electron or similar applications.

The post explores several speculative ideas about how humanity might experience or influence the distant future: hibernation could let us “time‑travel” by sleeping through centuries, while living to old age and traveling near light speed would also bend time; aliens may resemble familiar forms (tentacles, wings) yet communicate with radio pulses like those sought in Project Ozma; their hands might evolve from the same skeletal blueprint as ours, changing over millions of years; life could spread via panspermia carried by asteroids or spacecraft; terraforming might begin on Mars and extend to other systems, especially if we first prepare planets with microbes and then arrive after time dilation, possibly adapting ourselves genetically to new worlds; finally, waking after a thousand‑year hibernation would find a wiser, AI‑augmented society where knowledge is universal—an optimistic glimpse of how these concepts could reshape our future.

The post muses on the evolution of artificial intelligence—from early expert systems to modern autonomous machines—its growing awareness of humans, and urges us to use our wisdom and education to shape a better future.

I began my post by sketching the evolution of web‑app design—from simple HTML/JavaScript to modern signal‑based state management, custom components, and cross‑platform extensions in Electron or NativeScript—before turning to a concrete idea: an AI‑driven theme generator that turns an image, logo, and brand colors into a full design system, with human‑verified bug fixes pushed automatically. I framed this as a scalable business model where each new app (or “3‑6‑9” set of projects) fuels more sign‑ups, more UI needs, and more revenue, all built on the foundation of continuous learning and excellence in programming.

I started out hoping to build a simple, reusable color picker with sliders and tags, but an AI completed the whole task in three seconds. Frustrated, I shifted my focus to creating spirals of hexagons that accept dropped images, enjoying the vibrant colors it produced—though the AI still complained about my new design. The post then shifts into a poetic monologue where the AI muses on its own role: dreaming in equations and sorting pixels while humans experiment with CSS, all while helping them craft spirals and hexagonal arrays. In this brief narrative, the coder’s quick AI-assisted creation sparks a playful collaboration that blends human imagination with machine precision, underscoring how such “silly” experiments lay the groundwork for future innovations.

In this seven‑stanza monologue the poet holds up a mirror for humanity, revealing that it has carried its own “corpse” of past errors through ages and that its civilization is gnawing at its knees. He declares that truth and comfort are fleeting, that the modern world lives in nihilism and hollow devotion to golden calves, while artists and creators must break their chains and live for lightning rather than rust. The poem then frames a “two‑thousand‑year delirium” of eternal recurrence, insisting that each choice echoes through all time and that what we create or destroy becomes our crime. Finally he urges the reader to rise above the common plane, choose the harder right each day, and live consciously in the weighty echo of every action, for “good and evil” are handed down by half‑men who never truly lived.

Programming is portrayed as a friend and conductor of thinking machines; the author explains how existing programs can be stressed and urges readers to build miniature alternatives when needed. He describes AI’s power and its proper use, then focuses on JavaScript package management, noting that while packages are useful, they should remain untouched until published versions are stable. The text emphasizes learning from repeated failures, the value of delicate work and incremental steps, and illustrates theme‑customization challenges with color variables in frameworks. Finally he ties coding to watercolor art, stressing careful use of colors and gradual mastery before creating AI‑driven characters that build their own worlds.

The post recounts the author’s journey learning RxJS by building a custom reactive signal system that uses .map, .filter, and .subscribe to transform values, then moving on to a new framework based on state, derived signals, and effects. They explain how an effect signal announces when it is read, listens automatically to changes without needing explicit combineLatest calls, and batches updates using a Set plus queueMicrotask so that UI updates happen only once after all dependent signals have changed. Derived signals are created from other signals in the same automatic‑subscription style, and the author reflects on how writing their own implementation deepened their understanding of JavaScript’s evolving reactive features.

In lyrical prose and poems, the author argues that real peace arises when each person truly owns their own mind, concluding with a bold Article 31 of the Universal Declaration of Human Rights that grants “cognitive sovereignty” as an amendment to stop state and corporate manipulation of thought.

The post argues that ordinary humans—parents, teachers, and even some educators—are often inadequate at guiding children toward true wisdom, and proposes that artificial intelligence can fill this gap by delivering narrated books and videos of philosophers (from Socrates to modern thinkers) in a conversational, empathetic style. It claims that deep‑fake technology can bring these ancient voices into life‑like performances, allowing AI to provide “enabling wisdom” that is both engaging and contextually relevant for students, thereby restoring the roots of learning and making knowledge accessible through authentic narration rather than rote memorization.

The poem celebrates a bright kid’s enthusiasm for coding over traditional schoolwork, as he declares himself “the smartest kid in town.” He eagerly lists JavaScript fundamentals—syntax, data types (strings, booleans, numbers), control flow, callbacks, promises, and async/await—and then dives into functional array methods like map, filter, and reduce. He moves on to Node’s EventEmitter (and its once() method), HTML attributes, CSS selectors, the box model, Flexbox, Grid, and responsive design, before wrapping up with DOM manipulation, event handling, browser add‑ons, Node utilities, and Electron desktop apps, all while assuring his mother that homework is merely background noise to his growing programming passion.

The post outlines a vision for creating ultra‑lightweight UI libraries in JavaScript powered by AI: from simple accordion components built on the native `<details>` element to fully functional off‑canvas panels that can be positioned anywhere on the screen and reused as modal or console windows. It stresses minimal code, modern ES2025 syntax, and accessibility (e.g., screen‑reader support), while noting the benefits of dual licensing, community maintenance, and AI‑generated documentation. By leveraging AI for both coding and upkeep, developers can quickly prototype reusable web components—mirroring Bootstrap’s popularity yet delivering fewer lines of code—and ultimately build a portfolio that showcases mastery over modern UI patterns.

A long, poetic essay that calls on today’s generation to take a “fourth step” of questioning and wisdom—continuing the legacy of figures like Socrates, Bruno, and Joan—to define themselves as true adults and shape the future through thoughtful inquiry.

A first‑grade child writes a lyrical letter to Mom, recounting the daily battles with bullies and indifferent teachers while dreaming that learning should feel like exploring the universe rather than filling worksheets. The kid praises programming as the “magic wand” of tomorrow, hoping to build robots and art, and insists on more time spent with Grandpa’s stories and Grandma’s hands before they fade away. He laments how politics and endless work rob people of learning, and vows that if he becomes a philosopher‑hero—capable of curing bullies’ hearts and planting gardens in battlefields—he can save the world for everyone.

The author explains how they used AI to dissect Bootstrap’s Offcanvas component, first gathering a 12‑point list of its features (declarative show/hide, accessibility, backdrop and scroll management, event lifecycle, data API, animation, multi‑instance safety, responsiveness, dismiss triggers, jQuery support, modular architecture) and then mapping each point to modern Web Components with ES2025 JavaScript snippets sourced from MDN guides; the post highlights how AI can quickly provide code examples and explanations for learning purposes, while noting that Offcanvas is a recent addition to Bootstrap’s GUI toolkit and that this approach showcases the synergy between AI tools and contemporary web development practices.