The Reading Room

Long reads worth a founder's time.

Essays, playbooks and founder stories curated from across the internet. Every piece links out to the original.

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  • Image from Colossus

    Jeremy Stern, the editor-in-chief of Colossus, spent a summer around Mark Zuckerberg: a morning in the fighting studio at Lake Tahoe, the AI glasses launch in New York, a sitting with his parents, and Shabbat dinner with his family. The profile turns on what scholars call the dictator’s dilemma, the ruler whose court stops telling him what he does not want to hear, and Stern reads Zuckerberg’s habits against it: the direct reports of his direct reports, the outsiders invited in to argue, three mornings a week of getting punched. It also tells the eleven weeks after Llama 4, when he folded FAIR into Meta Superintelligence Labs and replaced a decade of AI people and strategy, and asks his competitors to steelman the case that he wins. The extract is that problem stated whole, and anyone who has been the last word in their own company for a few years will know the shape of it.

    Jeremy Stern, in Colossus

    The idea is simple and intuitive: The more power a man acquires, the more his empire expands, the more he depends on other people for information about everything from his own court to the furthest reaches of the empire. And yet through fear or awe or self-preservation, those people often become less willing to tell him what they think he doesn’t want to hear, leaving him increasingly insulated from reality even as the consequences of his decisions become larger, and as the barriers to believing one’s own bullshit fall away.

    Read it in full on Colossus →

    Profile of Mark Zuckerberg on the reading room

Topic

  1. Essay

    Research-backed framing on how to actually blend humans and AI in real work, not the hype version.

    AI & the Future Operations & Scaling

  2. Essay

    Anthropic's CEO lays out a specific, non-hype vision of what powerful AI could concretely do for science, health, and growth.

    AI & the Future Strategy & Moats

  3. Essay

    Altman's argument that AI drives the cost of intelligence toward zero, and what that does to prices, wages, and policy.

    AI & the Future Money & Finance

  4. Essay

    The framing that neural nets are a new kind of software written by data, essential mental model for anyone building AI products.

    AI & the Future Engineering & Craft

  5. Deep Dive

    The most accessible long-form primer ever written on AI progress and where it could lead, still the best on-ramp for newcomers.

    AI & the Future Career & Learning

  6. Essay

    The short, decades-earned insight that general methods plus compute beat clever hand-built rules, the single most cited idea behind the AI scaling era.

    AI & the Future Engineering & Craft

  7. Deep Dive

    Thompson maps how AI reshuffles the advantages of the tech giants, which tells you where the openings for startups actually are.

    AI & the Future Strategy & Moats

  8. Deep Dive

    An operator-investor's overview of how LLMs work and where the opportunities sit across the stack.

    AI & the Future Engineering & Craft

  9. Opinion

    A sober look at the gap between AI infrastructure spend and revenue, useful grounding when the fundraising narrative runs hot.

    AI & the Future Money & Finance

  10. Playbook

    A practical, battle-tested checklist for anyone whose team is actually training or fine-tuning models rather than just calling an API.

    AI & the Future Engineering & Craft

  11. Essay

    The 1945 essay that imagined augmenting human memory and thought with machines, the intellectual root of everything we now call AI tooling.

    AI & the Future Engineering & Craft

  12. Deep Dive

    The paper that introduced the Transformer, the architecture behind every modern LLM, worth knowing even if you only read the abstract and intro.

    AI & the Future Engineering & Craft

  13. Opinion

    A blunt, viral call to engineers that LLMs are a step-change for building software, and sitting it out is a mistake.

    AI & the Future Engineering & Craft

  14. Deep Dive

    A readable articulation of why frontier labs treat safety as a product constraint, which increasingly shapes what tools founders can build.

    AI & the Future Strategy & Moats

  15. Opinion

    An early and much-cited essay from an India-rooted investor arguing that software will outperform experts in high-stakes domains like medicine.

    AI & the Future Product & Design

  16. Deep Dive

    The market map that framed the generative AI wave for founders and investors, with a taxonomy of where applications would emerge.

    AI & the Future Strategy & Moats

  17. Deep Dive

    A concrete breakdown of GPU economics that any founder budgeting for AI features needs before they commit real money.

    AI & the Future Money & Finance

  18. Essay

    A clear-eyed take on why models inherit the biases in their data and what that means for anyone shipping AI to real users.

    AI & the Future Product & Design

  19. Essay

    On why practical know-how, not technical depth, is what separates people who get value from AI, useful for training a whole team.

    AI & the Future Career & Learning

  20. Essay

    OpenAI's own statement of how it thinks about deploying increasingly powerful AI, useful context for anyone building on their models.

    AI & the Future Strategy & Moats

  21. Essay

    The canonical explainer on the security hole every AI product ships with, required reading before you wire an LLM to real data or tools.

    AI & the Future Engineering & Craft

  22. Essay

    A candid look back on building OpenAI and the pace of the AI shift from the person closest to the frontier.

    AI & the Future Founder Life & Mindset

  23. Deep Dive

    A provocative, widely debated forecast of AI capability and compute over this decade that shaped how many insiders now plan.

    AI & the Future Strategy & Moats

  24. Essay

    Gates calls AI as fundamental as the PC and the internet and points to where he expects the biggest real-world impact first.

    AI & the Future Strategy & Moats

  25. Deep Dive

    Where we are in the tech cycle

    It argues the internet and mobile buildout has barely begun to reshape industries, pointing to where the next moats form.

    Strategy & Moats AI & the Future

  26. Deep Dive

    The most cited annual read on the Indian startup and consumer landscape, now with a serious view of where AI fits the India market.

    AI & the Future Starting Up

  27. Essay

    A short, high-altitude read on where AI capability is headed and what founders should assume becomes possible.

    AI & the Future Strategy & Moats

  28. Deep Dive

    AI economics are not SaaS economics

    Shows why AI companies carry heavier gross margins and messier unit economics than classic SaaS, which changes how you model and price them.

    Money & Finance AI & the Future

  29. Deep Dive

    The deep argument that simply making models bigger keeps producing new capabilities, the idea that drove the last several years of AI.

    AI & the Future Engineering & Craft

  30. Opinion

    A polarizing but widely cited worldview on technology and growth that shapes how many investors now frame the AI era.

    AI & the Future Founder Life & Mindset

  31. Essay

    An early, prescient piece on cheap parallel compute, big data, and better algorithms, and why AI would arrive as a utility you buy.

    AI & the Future Strategy & Moats

  32. Deep Dive

    The classic hands-on piece that made a generation of builders grasp how language models actually learn to generate text.

    AI & the Future Engineering & Craft

  33. Deep Dive

    A grounded year-in-review of what LLMs can and cannot do, from one of the most reliable practitioner voices in the space.

    AI & the Future Engineering & Craft

  34. Deep Dive

    Shows how an algorithm can replace the social graph as a distribution engine, essential reading for modern content growth.

    Growth & Marketing AI & the Future

  35. Deep Dive

    The influential map of the AI value chain that asks where the durable margins actually sit, models, infra, or apps.

    AI & the Future Strategy & Moats

  36. Opinion

    The clearest optimist case for building with AI, useful whether you agree or want the strongest argument to push against.

    AI & the Future Founder Life & Mindset

Questions, answered

What should founders read?

The eChai reading room curates long-form essays and articles worth a founder's time, on building, fundraising, product, and people.

Where can I find essays for startup founders?

The reading room is a hand-picked set of long reads that link out to the original source, curated for founders on eChai.

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