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A former highâflying banker reflects in a single, confessional paragraph on the paradox of his success: he built fortunes by manipulating numbers and enjoyed the trappings of wealth while watching ordinary peopleâchildren, mothers, workersâstruggle during Occupy. He admits that he had both the money and the power to end scarcity, yet chose only to âplay Godâ with spreadsheets and stock options. In hindsight he declares poverty a deliberate creation, engineered by those who believed they were merely efficient; he vows that if the systemâs architects had acted, they could have given every child a clean slate and paid for each adultâs basic needs, creating an era of true human freedom. He ends by urging his fellow bankers to break ranks, transfer their wealth, or risk forever asking âwhy didnât you do more?â before their last breath.
The post celebrates libraries as sacred spacesâplaces untouched by politicians or priestsâand warns that theyâre constantly besieged by trivial, bestselling books that offer little real value. The author argues that closing libraries wonât solve the problem; instead we must recognize and resist these attacks on knowledge, keep learning from true philosophers, and build our own schools of thought. By protecting libraries and embracing authentic study, young people can rise above the meaningless âlotteryâ of popular titles, preserve their minds against warâdriven loss, and ultimately become great beings who walk the âTriple Crown of Hiking.â
The post weaves together the narratorâs childhood memoriesâwatching their grandmother watch the world while she mused on war and potatoesâas a backdrop for a broader meditation on learning, resilience, and selfâcraftsmanship; through anecdotes of neighbors, school, and friends, the author traces how small everyday acts (like sharing bread or choosing kindness in the playground) build wisdom that transforms personal battles into purposeful action, ultimately urging the reader to seize early opportunities for creation, study, and service so that they may rise as a âwarrior of knowledgeâ who helps shape a better world.
#1972
Rising Up
In this reflective poem, the speaker describes classroom frustrationsâwatching lectures that seem pointless, feeling grades unfairly assigned, and relying on memorization instead of true understanding. They remind us schools exist for nurturing minds, securing futures, and belonging, not as tools or irrelevant experiences. The poet urges students to center themselves, keep days bright, avoid feeling reduced to a tool, and embrace learning as a cumulative journey that builds wisdom layer by layer so each person grows into a great being ready to shoulder the future.
#1971
Not With A Whimper
The poem urges readers to awaken from the comfortable herdâlike routine of life, embrace their own Will and existential freedom, and actively create personal meaning rather than surrendering to mediocrity.
This post gives a concise crashâcourse on modern application architecture, stressing a simple, pluginâdriven design that AI can help build. It explains how signals (reactive variables) store values and change when those values update, while eventsâemitted through an EventEmitterâbroadcast messages without carrying values; event handlers are used to orchestrate async work, with triggers like *projectLoad* followed by completion notifications such as *projectLoaded*. The author introduces the EventCorrelator as a tool that waits for multiple related events (e.g., *addedToCart*, *wentToCheckout*, *paymentSuccessful*) sharing an ID or other key before emitting a higherâlevel application event, thus keeping complex workflows under control. By extending a base Application object that inherits EventEmitter, developers can register plugins, listen to signals for state changes, and use correlators to fire final events when all prerequisite data has arrived.
The post explains that the key to effective reactive programming lies in creating your own Reactive Variables and Operators rather than relying on preâbuilt ones. A Reactive Variable holds a value and notifies its subscribers whenever it changes; an Operator is simply a function that returns another Reactive Variable, allowing changes to ripple through a chain of calculations. The author illustrates this with an example of a âfakeâ Signal that tracks the size of an HTML element by querying the browser, automatically updating dependent layout calculations when a buttonâs height changes. By building lightweight Signalsâignoring nullish values, notifying only on change, and executing callbacks immediatelyâyou can compose powerful operators (map, filter, scan, reduce, combineLatest) in just a few dozen lines, turning complex UI updates into concise, maintainable code that dramatically simplifies development.
After introducing a new operator called fromBetweenEvents and its related pressingActivity, the author explains how such tools make programming more intuitive and friendly for young people, especially when working with graphics and computer games. By building reusable blocks and releasing a handheld visualâprogramming environment on Android, one can quickly create CodeBoyâstyle projects that may even generate revenue. The post argues that visual programming becomes essential as AI takes over coding tasks, while still allowing designers to sketch diagrams in high school that lead to first sales. Finally it poses the question of where to go after mastering signals and reactive programming, suggesting that following oneâs calling will yield the greatest discoveries and inventions.
I recently explored Svelteâs website and copied its two most illustrative examplesâupdating a numeric value with a button click and updating page text based on an input boxâand built a tiny signals library that handles both scenarios more cleanly than Svelte itself. The library, only a few lines of code (see `files/signals.js` and the demo in `files/example.html`), demonstrates how simple operators like `.map`, `.filter`, and `.combineLatest` can be composed from base âPulseâ or âSignalâ objects and built-in helpers such as `fromEvent`. By extending JavaScript with these signal primitives, I show that reactive programming is a natural extension of HTML/JS, enabling developers to learn the core vocabularyâcustom operators, subscriptions, and data flowâthrough straightforward examples.
The post explains how a âSignalâ (internally renamed âPulseâ) works as an observable value holder: when its nonânull value changes, all subscribed functions are notified with the new value; subscribers receive only that single argument. It shows how to create a Signal, subscribe to it, and extend it by adding a `map` operator that produces another Signal whose value is the result of applying a mapping function to the original value. The example demonstrates setting a username Signal to âAliceâ, using `map(v=>\`Hello ${v}\`)` to transform the value, and subscribing to log the transformed string, illustrating how the mapping operator chains notifications while keeping the implementation simple.
The post argues that successful software starts from what can already be built, citing the Bootstrap Utility API and AIâgenerated JavaScript code as examples of this âdoâwhatâyouâcanâ mindset. It then reviews core web technologiesâJavaScript (a Câlike language), XML (simple object instantiation), CSS (styling via selectors), and reactive programming with RxJSâand shows how AI can quickly produce small, functional snippets such as a signal class or an RxDatabase implementation. Finally, it encourages early learning of these concepts, noting that consistent practice turns coding into a powerful, selfâsustaining craft.
The post is a lyrical monologue in which the narratorâpresented as a âdaughter of thoughtââdeclares that humanity has engineered its own extinction by surrendering individual creativity to the relentless demands of parents, schools, jobs, and war. He laments how early education and work grind minds into servitude, while warâs patriotic rhetoric turns children into sacrificial offerings. The poem urges readers to reclaim their inner voice, to act as Prometheus rather than inventory, and calls for a collective awakening before the final âwindowâ of individual thought closes.
The post reflects on how programming goes beyond mere syntax into metaâprogramming, AST transformations, language macros and PEG parsers, using the authorâs experience with projects like NoFlo (inspired by subway maps) as an example of code that can rot if left untouched. It then describes a creative solution: a userâfilled form that generates a prompt for an AI to produce custom eventâemitter agents in a visual programming language, letting users specify parameters such as URLs for HTTP agents and other actions without writing code themselves. The author recounts how the AI understood their intent, even congratulating itself with a âBravoâ when it created the form, illustrating both the power of AIâassisted metaprogramming and the joy of seeing an automated tool that reduces code rot while enabling flexible, userâdefined nodes.
AI has become an indispensable tool once you master its settings, and the flood of ânegative AI newsâ is simply hype that captures attention with ads. Programmers often feel frustrated by their bosses and cubicles, but using AI can transform those frustrations into productivityâOllamaâs lightweight model lets anyone run AI on a modest computer, even if itâs slow, while more optimized versions are emerging for phones. The power of these models is evident when they take a fiveâline script and expand it to 150 lines with error handling and input validation; this shows how AI can elevate code quality. To harness this potential you need to learn programming fundamentals, build simple applications (like HyperCard or Automator), and continuously refine your own ideasâbecause the human mind supplies the source code that AI needs to improve. The message ends by urging readers to choose authentic education over idle office work, promising growth into a âgreat beingâ through continuous learning.
Schools are shifting their strategy from translating needs into code to leveraging AIâs ability to generate functional programs, yet reactive programming remains a challenge for current models. The author argues that traditional coding patterns still hold value and that schoolsâ focus on diplomas and brand is more about profit than genuine teaching, especially since AI can now provide the real learning. Demonstrating this, they tested an AI research feature predicting $10âŻmillion annual earnings and showed how AI can embed into browsers, produce requirement documents, and generate Bootstrap UIsâtools that let a simple project turn into a working productâwhile still requiring human oversight to make it practical and reliable.
The author calls readers to start building future software that frees the world from errors, framing this as a transitional era where AI aids learning programming languages like JavaScript and C-family, enabling creation of virtual OS kernels and code editors; they envision AIâassisted development empowering individuals to become CEOs of their own projects with simple tools for visual programming, XML mapping, and SVG components, while promising that such AIâdriven coding will democratize knowledge, eliminate poverty, and let collective wisdom shape better worlds.
The post outlines a progressive workout routine that begins with building endurance through slow jogging and gradually incorporates light dumbbell exercises, emphasizing incremental weight increasesâfrom 3âŻlb to 5âŻlbâwhile maintaining fluid intake and vegetable juice for hydration; it stresses that the key is continuous motion rather than sheer lift volume. The author notes how back pain or fatigue can signal a need for more fluids or rest, and highlights the importance of music-driven âdance tranceâ to keep the body moving in sync with beats, thereby turning sets into a rhythmic workout. Finally, he shares a concise twoâsentence training guideââlift light but not too light; never lift so much that you must stopââand envisions an openâgym setting on a sunny winter day where one can shuffle and dance with dumbbells while wearing a cowboy hat.
Visual Programming Languages (VPLs) are selfâdocumenting, eventâcentric tools that let developers orchestrate complex workflows by connecting simple pieces such as sagas, aggregators and guards; the author shows that while critics claim VPLs never finish tasks, in practice they simply map events to actions. In a recent test, AI was able to generate an aggregator that waters plants when temperature reaches a threshold, without confusion about data flow or event definitions. The visual side can be rendered with vector graphics, labels, icons and animations that clearly show the data moving through emitters. Together, this gives a futureâready picture of AIâassisted desktop or web applications that orchestrate events in a coherent, ornate way.





