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Gm. One of my favorite places to have my morning cappuccino is in my father in law’s office. The vibes are just so cool and the chairs don’t get sat in enough. So I just come here and appreciate the place and plan my day. image
Gm. Some Amazon products ship to the U.S. and not to Egypt. So, my friend bought three philosophy books, shipped them to my place, and I brought them to Egypt in my bag when I came. One of them, however, was a crazy misprinting. Inside the philosophy cover was a book on witchcraft. Apart from being funny, it’s actually slightly dangerous. Some countries including the UAE have laws against sorcery. Imagine flying in there, get a random baggage check, and you unknowingly have a witchcraft book with a philosophy cover on it, as though you are sneaking it in. Like, what do you even say in that situation.
Now that Fable is back on the market, I did an apples-to-apples test with it. While I purposely avoided using any AI to write Stolguard, I did feed the finished manuscript into ChatGPT and Claude prior to publication and asked them to analyze the characters, plot, themes, prose, genre, and overall thoughts. Like a robot beta reader among my myriad human beta readers. They did a half-decent job, like a smart high-schooler who read it but skimmed certain parts, made a few objective errors (including a big one involving all the nuance around Jade and what she’s up to and why, across the two interwoven timelines, iykyk), but otherwise got the gist of the book with some random inconsistencies. I did that with Fable now. Just gave it the text and asked it to analyze it along those same areas. Its overall analysis conclusions were quite similar, but it avoided making those objective mix-ups around the most complex parts. It understood the interwoven timelines fully. Only with some follow-up questions did it start to slip a bit with some clear mistaking of one character for another or forgetting about certain scenes as its context window failed to keep up. Definitely a step up in accuracy, based on a text I know well.
That feeling when I spend Friday and Saturday writing about the implications of the US/Iran MOU for my Sunday report, and they end up not even keeping the peace through Sunday. image
My canonical headphones broke a couple days ago. End of an era. Replaced them with the nextgen version of the same thing. Stronger than ever. Most youtube viewers won't notice, but I had to say it somewhere. Might as well say it here on the edge realms. Hurts, man.
GM, doing a refresh of some of my giga-long macro charts. Figured I'd post my favorite one here on Nostr first. Readers of Broken Money will recognize the 1920-2022 version of this from that book, which is now extended through 2025. (Digging into this data super deeply back in 2018/2019, along with a bunch of related datasets, is how I came to see that nothing stops this train.) image
My husband is like, "Lyn, whenever we're apart, you get weird online." I'm like, "what do you mean?" And he's like, "you make weird bets with people you don't know." And I'm like, "You have made a fair argument, sir. But here we are." image
I feel like beards need more study. -Measurable differences between bearded and beardless men. -Measurable differences between women who like bearded vs beardless men. It seems like one of the most binary decisions/preferences out there.
Good afternoon. My June public newsletter, "The Wild West" is now available: https://www.lynalden.com/june-2026-newsletter/ This issue discusses: -How the modern period of investing coincided with the comparatively peaceful post-war period, and how that is changing. -Strategies for investing in this new "Wild West" geopolitical environment. -The information bell curve and its implications. -The latest snapshot of the newsletter portfolio. image