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Thursday, March 19, 2026

Why Your AI Teaching Assistant Keeps Getting It Wrong (And the One Skill That Fixes It)

#EdTech #AIinEducation #PromptCraft #ContextEngineering #TeacherAI #DigitalLearning

Freebe: here is my prompt engineering app for teachers https://poe.com/DrAlbertPrompt.


Background

In January 2026, The Economist published "Failing the Screen Test," a sweeping investigation into educational technology [1]. The verdict was stark: ed tech is "mostly useless," a $165 billion global industry that delivers marginal gains while student achievement collapses worldwide. The piece opened with Principal Inge Esping in a Kansas middle school, watching laptops go back into closets after three years of broken promises from adaptive math software. Paper and pencil returned. The magic never came.


The Economist got a lot right. It also got some critical things terribly wrong. But the most important lesson from that article has nothing to do with whether technology works in classrooms. It has everything to do with how we ask technology to work for us, and what has changed in the last two months that makes that question more urgent than ever.

Sunday, March 1, 2026

The Silicon Valley Schism: A Strategist’s Guide to the Ideology and Power Behind the AI Boom

πŸ•°️ The Evolution of Tech Culture

    • The Counterculture Era: Early computing was defined by a DIY, anti-establishment ethos and the Whole Earth Catalog 🌍.

    • The Dot-Com Boom: Driven by profit-motivated optimism and the "abundance" of the microchip, ending in the greed-fueled crash of 2000 πŸ“‰.

    • The Social Media Era: Defined by "nerds in hoodies," zero-interest venture capital, and the rise of giants like Meta and Uber πŸ“±.



πŸ€– The Current AI Vibe

    • Gold Rush 2.0: San Francisco is "back," with 25-year-olds making millions and massive investment rounds fueling an exuberant, "weird" local culture πŸ’°.

    • The "Jagged Frontier": AI is a "secret third thing"—capable of solving complex protein folding but occasionally failing at simple tasks like counting letters in "strawberry" πŸ“.

    • Religious Devotion: Many builders feel they aren't just coding software, but are effectively "building God" or an alien super-intelligence πŸ‘Ό.

⚔️ The Great AI Schism

    • The Doomers: Led by figures like Eliezer Yudkowsky, they fear AI is an existential threat that could accidentally "kill us all" if not strictly regulated ☣️.

    • The Accelerationists (e/acc): They want to "let it rip," believing AI will usher in infinite prosperity and that slowing down is a dangerous mistake πŸš€.

    • The Shift: Focus is moving from "apocalyptic extinction" toward more immediate concerns like job loss and economic disruption πŸ› ️.

⚖️ The Political Rightward Shift

    • Anti-Regulation: Silicon Valley leaders are moving toward the Right in reaction to aggressive antitrust actions and crypto scrutiny πŸ›️.

    • The "Woke" Backlash: A rejection of employee activism and affirmative action has pushed tech titans toward a more libertarian, "leave us alone" political stance 🐘.

    • Transactional Politics: Some CEOs are backing Donald Trump as a logical calculation, favoring a president who prioritizes personal relationships and deregulation over rigid policy 🀝.


Building God in a Gold Rush: A Strategist’s Guide to the AI Cultural Schism

In the corporate landscape of 2026, AI is no longer a speculative line item; it is the atmospheric pressure under which every business operates. Yet, a critical strategic error persists: treating AI as a mere continuation of the "SaaS" (Software as a Service) era. As Charlie Warzel and Jasmine Sun illuminate, we are not just witnessing a technological update. We are living through a "fits and starts" revolution that is as much a religious and political movement as it is a digital one [1].

Stop Bolting-On AI: Why Your "Factory Floor" Still Runs on Steam

The global economy is currently in the grip of a $1.3 trillion contradiction. Since the dawn of the 2020s, organizations have poured astrono...