Teaching AI How Science Actually Works
Find the role that rewards your specific brand of “crazy.”
“Anyone who has never made a mistake has never tried anything new.”
― Albert Einstein
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We hand-picked 3 good pieces of content to inspire and motivate you now and in the future. Keep track of the insights that resonate with you by highlighting them with Glasp💡
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📚 3 Good Recommendations
Face it: You're a Crazy Person
by (14 mins)
Summary: The essay argues you should “unpack” dream jobs into their real, daily tasks (the “Coffee Beans Procedure”). When you do, you see most careers only fit a tiny “crazy” minority who actually enjoy the endless Tuesday-afternoon grind (e.g., creators posting nonstop, novelists writing book after book). The goal is to match your own weird, specific preferences to work whose minutiae you like, not the title or status.
Ideal for: Students and career-changers weighing paths, managers/hiring teams clarifying role realities, career coaches, founders designing jobs, and creators tempted by high-status roles (academia, medicine, content, writing) without seeing the day-to-day.
Why It’s Worth Your Time: Provides a simple, actionable mental model—ask concrete present-tense questions about tasks and tools—to defeat vague fantasies and the “false consensus” bias. You’ll avoid bad-fit careers and find roles where your unique “crazy” becomes a superpower.
Teaching AI How Science Actually Works
by (11 mins)
Summary: Proposes new Unstructured Data Generation Labs that do real, instrumented research (bodycams, machine logs, keystrokes) to capture tacit lab know-how and train AI that can actually “do science,” aiming for 10–100× productivity gains across fields like bio, materials, quantum, and micro/nano.
Ideal for: Science funders and policymakers; national lab/university leaders; R&D heads in biotech/materials/quantum; AI-for-science researchers and tool builders; tech-transfer and ecosystem partners; security/risk teams evaluating controlled data access.
Why It’s Worth Your Time: Lays out a concrete, governed plan—$2B over 8 years in three phases (pilot, down-select, scale) with expert reviews, default sunset, and a separate security org—to turn messy, tacit lab work into multimodal datasets and AI tools, bridging the gap from narrow models (e.g., AlphaFold-style) to broadly useful AI “scientists.”
This mental model will make you think like a strategic genius
by (24 mins)
Summary: “Genius” is clarity, not IQ. The video introduces Ken Wilber’s AQAL map—four lenses (individual interior/exterior, collective interior/exterior) plus developmental “levels”—as a mental model to diagnose problems, set goals, and choose strategies without getting trapped in one perspective.
Ideal for: People choosing a life/career direction, founders and operators, team leads and coaches, creators/knowledge workers, students and lifelong learners, anyone prone to overthinking or ideological tunnel vision.
Why It’s Worth Your Time: Provides quadrant-based questions you can use today to get unstuck, avoid one-quadrant dogma, and think at a “second-tier” (integrative) level—accelerating progress in relationships, business, and personal goals.
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🟥 1,500+ Users Syncing Pocket with Glasp:
More than 1,500 people are already syncing Pocket with Glasp 🎉 Thank you for trusting Glasp to keep your valuable knowledge and highlights safe. If you haven’t synced your Pocket yet, now’s the perfect time to try it out! Check here.🟨 Author Spotlight: Eliot Peper’s New Book:
We once had the pleasure of interviewing on Glasp Talk, and we’re excited to share that he has a brand-new book, Ensorcelled, coming out this October 🎉📚As part of the launch, we’re currently diving into an advance copy and will be doing a Q&A interview with him soon. If you’re curious about Eliot, his work, or this new book, let us know what questions you’d like us to ask—your suggestions might make it into the interview!
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Best,
Kei and Kazuki
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This piece does a great job connecting abstract ideas with practical mental models. I especially liked how the section on teaching AI science outlined a phased plan that feels realistic while still ambitious. The reminder to break down dream jobs into daily tasks is also a powerful reality check. It left me thinking about how much of success comes from aligning with the small, repetitive actions you genuinely enjoy.
Thank you for reading!
We're excited to recommend great pieces of content and share our progress at Glasp!
Not only Eliot, but also we're collaborating with other great authors! Excited to announce it later, stay tuned!