disnetdev.

catalog

Library

Cards and collections from my Semble library. Pages saved for later, grouped into shelves I return to. 1016 cards, 26 shelfves.

Shelves

26 collections

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  1. Skyreader

    Read everything from everywhere. Make sense of it all.

    Skyreader · Jul 2

  2. Why the tech industry can't keep up with the AI backlash

    AI's externalities are growing faster than the industry can address them

    platformer.news · Casey Newton · Jul 2

  3. The Social Wire

    A reader for the standard.site publishing ecosystem

    The Social Wire · Jul 1

  4. Readwise Reader: The first read-it-later app built for power readers.

    Save everything to one place to overcome content overload, search instantly, and highlight like a pro.

    Readwise Reader · Jul 1

  5. Read on pckt

    Explore blog posts and articles from across the ATmosphere.

    pckt · Jul 1

  6. Current - A River of Reading

    Current rethinks RSS for the modern reader. Your feeds flow like a river. No inbox anxiety, no unread counts.

    Current · Current · Jul 1

  7. The twilight of the chatbots

    How work changes along the exponential

    oneusefulthing.org · Ethan Mollick · Jul 1

  8. Soatok’s Informal Guide to Threat Models

    After a long day of exhausting conversations about Hybrid Post-Quantum Cryptography, random jackasses trying to play gotcha with endpoint attacks against end-to-end encrypted messaging apps, and message board discussions in the wake of dumb politicians pushing more “age verification” bullshit on us all, it’s become abundantly clear to me that the phrase “threat model” is […]

    soatok.blog · Soatok · Jun 30

  9. You don't have to swallow frogs

    Klein and Coates show that if you don't know what your core beliefs are, you're going to get played.

    degenerateart.beehiiv.com · Andrea Pitzer's Degenerate Art · Jun 30

  10. How are we writing the future of humanity?

    Consciousness spinning

    buildcognitiveresonance.substack.com · Benjamin Riley · Jun 29

  11. Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era

    What eras bookend our interregnum?

    importai.substack.com · Jack Clark · Jun 29

  12. WSJ Article Claiming China Has Matched Anthropic Is Obvious Nonsense

    The Wall Street Journal printed an outright false headline and heavily misleading story claiming this, which of course was uncritically amplified by the usual suspects.

    thezvi.substack.com · Zvi Mowshowitz · Jun 29

  13. The fall of the theorem economy

    How AI could destroy mathematics and barely touch it

    davidbessis.substack.com · David Bessis · Jun 28

  14. Strange Knowledgeability

    Human knowing in perspectival encyclopedicity

    contraptions.venkateshrao.com · Venkatesh Rao · Jun 26

  15. What Should Be Done

    How to get past improvised model licensing

    hyperdimensional.co · Dean W. Ball · Jun 26

  16. Objectively Yours

    Alan Greenspan's Legacy

    unpopularfront.news · John Ganz · Jun 26

  17. White House Will Ad Hoc Decide Who Can Individually Access GPT-5.6

    We have a new standard policy for releasing frontier AI models. It is not good.

    thezvi.substack.com · Zvi Mowshowitz · Jun 26

  18. Collections: Pre-Modern Armies for Worldbuilders, Part III: Paying For It

    This is the third part (I, IIa, IIb, III) of our honestly-who-knows-how-many part series laying out some general guidelines for how pre-modern armies are recruited, raised, equipped and paid. In the last part, we looked at the various ways pre-modern armies might mobilize their armies, a process that mainly consisted of recruiting and equipping soldiers. &#8230; <a href="https://acoup.blog/2026/06/26/collections-pre-modern-armies-for-worldbuilders-part-iii-paying-for-it/" class="more-link">Continue reading <span class="screen-reader-text">Collections: Pre-Modern Armies for Worldbuilders, Part III: Paying For It</span> <span class="meta-nav">&#8594;</span></a>

    acoup.blog · Bret Devereaux · Jun 26

  19. The Winning Variant

    A short documentary about A/B testing, algorithmic optimization, and the small act of ignoring both. In 2009, a Google designer quit over forty-one shades of blue. The machine was making his decisions — and it was often right. About what it means to make something by hand in a world that can tell you, with a number, exactly what would have worked better.

    terrygodier.com · Jun 26

  20. Peter Wildeford🇺🇸🚀 (@peterwildeford) on X

    Great to see @tristanharris talking on his podcast about recursive self-improvement. Here's how his guest, Tim Fist, puts it -- "Over the last few months we've had all three of the leading US AI labs say that having the option for a global slowdown or pause in AI development is

    x.com · Peter Wildeford🇺🇸🚀 · Jun 25

  21. Make AI Boring Again (xpost)

    On the ethics of engagement, the problem with purity politics, and a world worth fighting for Crossposted from here.  &#160; I am a contrarian who likes to argue and complain a lot. Because of this, I have never been inclined to block people who argue with me or complain about my work, or even lash [&#8230;]

    charity.wtf · mipsytipsy · Jun 24

  22. The Value of Getting Closer to the Work

    Scaling The core problem of scaling a team is that not everyone can know everything. Scaling is the work of systematizing that &#8211; so that things are understandable, knowable. It&#8217;s turning &#8220;tribal knowledge&#8221; into documentation, automation, and process. It used to be that only the automation was for the machine, but now documentation is machine [&#8230;]

    cate.blog · Cate · Jun 24

  23. Slow down to speed up: so much has changed in 6 months’ time

    An overview of what&#8217;s changed in engineering during the last six months, how various tech companies are changing how they work, and why slowing down could be a sensible strategy

    newsletter.pragmaticengineer.com · Gergely Orosz · Jun 24

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