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@ivan
Last active May 5, 2026 10:38
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2024 reading list

Things I might read in 2024.

Now extended into 2025.



  • Antoine de Saint-Exupéry, Richard Howard (translator) - The Little Prince
  • (Translation by) Sam Hamill - Yellow River: Three Hundred Poems From the Chinese
  • Sayaka Murata, Ginny Tapley Takemori (translator) - Convenience Store Woman (via)
  • Jorge Luis Borges - Tlön, Uqbar, Orbis Tertius (in Labyrinths)/ printed (via)
  • Franz Kafka - The Metamorphosis (via)
  • William Olaf Stapledon - Star Maker/ audio, go to 12m35s to skip past the introduction spoilers

  • The Heart of Innovation: A Field Guide for Navigating to Authentic Demand/ audio (via)
  • Peter D. Kaufman - Poor Charlie's Almanack: The Wit and Wisdom of Charles T. Munger, Expanded Third Edition
  • Lia A. DiBello - Expertise in Business: Evolving with a Changing World (in The Oxford Handbook of Expertise) (via)
  • Joël Glenn Brenner - The Emperors of Chocolate: Inside the Secret World of Hershey and Mars
  • Elad Gil - High Growth Handbook/ audio
  • W. Edwards Deming - The New Economics for Industry, Government, Education/ audio
  • W. Edwards Deming - The New Economics for Industry, Government, Education/ the PDF or ebook
  • Henrik Karlsson - Escaping Flatland/ including the posts I SingleFile'd
  • the relevant-looking posts on benkuhn.net/posts
  • Commoncog Case Library Beta
  • Keith J. Cunningham - The Road Less Stupid: Advice from the Chairman of the Board/ audio
  • Keith J. Cunningham - The 4-Day MBA/ video
  • Cedric Chin's summary of 7 Powers
  • Akio Morita, Edwin M. Reingold, Mitsuko Shimomura - Made in Japan: Akio Morita and Sony
  • Nomad Investment Partnership Letters or redacted (via)
  • How to Lose Money in Derivatives: Examples From Hedge Funds and Bank Trading Departments
  • Brian Hayes - Infrastructure: A Guide to the Industrial Landscape
  • Accelerated Expertise (via)/ printed, "read Chapters 9-13 and skim everything else"
  • David J. Gerber - The Inventor's Dilemma (via Oxide and Friends)
  • Alex Komoroske - The Compendium / after I convert the Firebase export in code/websites/compendium-cards-data/db.json to a single HTML page
  • Rich Cohen - The Fish That Ate The Whale (via)
  • Bob Caspe - Entrepreneurial Action/ printed, skim for anything I don't know



Interactive fiction


unplanned notable things read


unplanned and abandoned

  • Ichiro Kishimi, Fumitake Koga - The Courage to Be Disliked/ audio
  • Matt Dinniman - Dungeon Crawler Carl/ audio
  • Charles Eisenstein - The More Beautiful World Our Hearts Know Is Possible/ audio
  • Geoff Smart - Who: The A Method for Hiring/ audio
  • Genki Kawamura - If Cats Disappeared from the World/ audio
  • Paul Stamets - Fantastic Fungi: How Mushrooms Can Heal, Shift Consciousness, and Save the Planet/ audio
  • Jefferson Fisher - The Next Conversation/ audio
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ivan commented Apr 15, 2026

no i had no insider information. just an accurate world model

https://x.com/tenobrus/status/2041581331076018434

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ivan commented Apr 16, 2026

Does Yegge really think that building production software this way is a good idea?

Let's assume that managing context well is a problem and that this kind of orchestration solves it. But I see another problem with agents:

When designing a system or a component we have ideas that form invariants. Sometimes the invariant is big, like a certain grand architecture, and sometimes it's small, like the selection of a data structure. Eventually, though, you want to add a feature that clashes with that invariant. At that point there are usually three choices:

* Don't add the feature. The invariant is a useful simplifying principle and it's more important than the feature; it will pay dividends in other ways.

* Add the feature inelegantly or inefficiently on top of the invariant. Hey, not every feature has to be elegant or efficient.

* Go back and change the invariant. You've just learnt something new that you hadn't considered and puts things in a new light, and it turns out there's a better approach.

Often, only one of these is right. Usually, one of these is very, very wrong, and with bad consequences.

But picking among them isn't a matter of context. It's a matter of judgment and the models - not the harnesses - get this judgment wrong far too often (they go with what they know - the "average" of their training - or they just don't get it). So often, in fact, that mistakes quickly accumulate and compound, and after a few bad decisions like this the codebase is unsalvageable. Today's models are just not good enough (yet) to create a complete sustainable product on their own. You just can't trust them to make wise decisions. Study after study and experiement after experiment show this.

Now, perhaps we make better judgment calls because we have context that the agent doesn't. But we can't really dump everything we know, from facts to lessons, and that pertains to every abstraction layer of the software, into documents. Even if we could, today's models couldn't handle them. So even if it is a matter of context, it is not something that can be solved with better context management. Having an audit trail is nice, but not if it's a trail of one bad decision after another.

https://news.ycombinator.com/item?id=47619679

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ivan commented Apr 21, 2026

you can easily identify the people who were not involved in sports or extra curricular activities in middle school/high school when playing ranked

there are people who think they make no mistakes and talking to them is harassment, for them winning is just a coincidence of events going their way sometimes

https://x.com/dubbyOW/status/2046439897402106317

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ivan commented Apr 25, 2026

evergreen controversial opinion: it is good to care about the quality of your work

https://x.com/garybernhardt/status/2047931752132510013

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ivan commented May 5, 2026

get bodylastics bands, they have an inner cord that prevents the latex from snapping at you

https://old.reddit.com/r/ResistanceBand/comments/1inz6v1/how_sure_can_i_be_that_i_wont_get_injured_if_a/

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