Kyle Harrison
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Historical Futurism

Learning from how the past imagined tomorrow

The study of history not as a static record but as a laboratory of attempted futures — how did people in the past envision progress, what solutions did they try, what worked, what failed, and what remains relevant? Encompasses classic histories, the history of ideas through science fiction, and the mining of old proposals for insights applicable now.

18 Essays
83 Books
48 Saved
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BuccoCapital Bloke @buccocapital

<!-- Long-form post: syndication clips at ~280 chars; full text recovered via api.fxtwitter.com on 2026-10-04. --> I’m rereading “The Rise and Fall of American Growth” and found this passage to be quite thought-provoking when it comes to AI. Will AI be looked back on by historians as a “Great Invention?” I think so! Will rising income inequality (or our attempts to resolve it) cancel it out (or worse)? I don’t know, but it’s looking like it will be front and center in the next election —— This book is based on an important idea having innumerable implications: “Economic growth is not a steady process that creates economic advance at a regular pace, century after century. Instead, progress occurs much more rapidly in some times than in others. There was virtually no economic growth for millennia until 1770, only slow growth in the transition century before 1870, remarkably rapid growth in the century ending in 1970, and slower growth since then. Our central thesis is that some inventions are more important than others, and that the revolutionary century after the Civil War was made possible by a unique clustering, in the late nineteenth century, of what we will call the "Great Inventions." However, any consideration of U.S. economic progress in the future must look beyond innovation to contemplate the headwinds that are blowing like a gale to slow down the vessel of progress. Chief among these headwinds is the rise of inequality that since 1970 has steadily directed an ever larger share of the fruits of the American growth machine to the top of the income distribution.”

BuccoCapital Bloke — cover of The Rise and Fall of American Growth by Robert J. Gordon
Oct 4, 2026
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The Icahnist @TheIcahnist

Larry Ellison’s favorite book No wonder it is a history of ruthless monopolists. This century is going to be the age of a new generation of robber barons who own the bottlenecks behind the AI buildout. Study the Old Masters. **Image:** the cover of *The Robber Barons* by Matthew Josephson. ### Quoted post > Jay Gould Playbook > > 1. Target distressed strategic infrastructure > > 2. Buy its stock + bonds at depressed prices; accumulate enough voting stock to control the company. > > 3. Buy connecting railroads that increase the system’s routes and traffic. > > 4. Cut rates and redirect traffic <!-- The quoted post's text comes from the syndication endpoint, which clips long posts at ~280 characters; it may continue past step 4. -->

The Icahnist — image
The Icahnist — image
Sep 30, 2026
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@wordgrammer @wordgrammer

The dot com bubble got some things right. It noticed that the internet was going to be big. It noticed that the value generated by the internet would roughly scale in proportion with the amount of fiber laid. It recognized a latent need in all humans to use technology for self-expression. There are a few things that it missed. First: it thought that html and javascript were the means by which common people would express themselves. The dot com bubble thought everyone would have a website. As it turns out, normal people prefer expressing themselves with text, images, and video. The first 1% of internet adopters expressed themselves by creating personal websites. But as the internet grew, we didn't get more and more websites. The internet "collapsed" into a much simpler form of distribution: social media, which only let people express themselves in an incredibly limited fashion. Among social media, 90% is text, image, or video. Html is not a good form of self-expression. It's hard to secure. It's hard to distribute. It's hard to reason about. You need to learn how to code. Images are an incredible form of self-expression. Non-technical people love editing photos of themselves. Non-technical people hate making websites. The TAM of Instagram is 100x larger than the TAM of Godaddy. Second: it missed that 90% of the internet's traffic would come through video. As the total usage of fiber increased, we saw the internet once again "collapsed" into a simpler form of distribution: video streaming. Now, Netflix, YouTube, Tik Tok, Instagram, and so on take up the majority of data passed through internet fiber. The modern AI discourse is making a similar mistake to saying "everyone will have a website" back in 1995. I hear stuff like: - People want personal software - Everyone will build a mobile app - The market for software is infinite No. You are directionally correct, but you are missing something big. Every human will use agents. But less than 1% will use coding agents. (In the same way every human has a "personal page" through social media, but less than 1% have a personal website.) You need an "idiotproof" sandbox. Your consumer agent, as well as agents for enterprise use cases, must have a 0% chance of failure. Your consumer agent must be usable while drunk, in bed, having sex, on the toilet, during lunch break, in the background while working on homework, while your brain is 99% preoccupied with a difficult task at work. It must be impossible for AI to: make purchases you did not intend, send messages you did not intend, and access information you did not want to share. It cannot be "difficult" for these to happen. It must be impossible. (In the same way that YouTube videos have a 0% chance of phishing, cross-site scripting, malware, and viruses.) No amount of models getting better will give them a 0% chance of failure. To get to a 0% chance of failure, you need to be creative. You need to innovate. You need to radically rethink your abstractions. Every human has a "personal page" through social media, but less than 1% has a personal website. What is the same shift for AI? Every human will use \_\_\_\_\_ agents, but less than 1% use coding agents. What is \_\_\_\_\_? What is the "idiotproof" sandbox for agents?

2026-09-02