Kyle Harrison
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The Language of Discourse

Rhetoric, persuasion, and the mechanics of shared understanding

How language shapes collective action — the study of rhetoric (Cicero, John Quincy Adams), the mechanics of persuasion (manifestos, vision statements, rallying cries), and the darker arts of manipulation and propaganda. The goal is to understand both how to communicate truth effectively and how to recognize when language is being weaponized against truth.

37 Essays
28 Books
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Dillon Loomis @DillonLoomis

This story is fascinating and is easily one of the most important things happening at the intersection of AI and politics right now. It's critical everyone understands the situation because this is just the beginning of the AI infowars and psyops Jacob Coxon, a relatively unknown AI researcher, gives the WSJ an exclusive story about his resignation from Anthropic and his concerns about AI Twenty minutes after the WSJ story drops, Jacob posts on X about how he's concerned that AI could kill us all in a few years. This post now has over 149M views. For reference, Ilya Sutskever (a very well known AI name) left OpenAI in 2024 and his announcement post has fewer than 6M views as of today Bear in mind, Jacob Coxon's X account had no prior posting activity public, but it is immediately reposted and boosted by numerous AI-doomer policy advocacy nonprofits funded by the same donor (Jaan Tallinn) who just happens to be one of the leading investors in Anthropic We find out Jacob Coxon, who worked at Anthropic for only a few weeks, worked for a left-wing political advocacy group in 2021 (Newspeak). This organization is a British NGO with ties to hacking democracy, Hillary Clinton, prison abolition and extinction rebellion Many major Democrat politicians are now using Jacob's X post to fear monger the public into voting to regulate AI. It just so happens Bernie Sanders has a bill already written to ban artificial superintelligence (ASI) and to create a new federal agency to protect the public from the dangers of AI. This bill was announced just one week ago on September 3rd It would also place a temporary pause on "advanced AI" until a new federal regulator exists and has issued safety rules and a model-review process Elon then points out how none of this feels organic, and Jacob decides to take a shot at him for firing some xAI researchers Meanwhile, we know Anthropic has publicly asked the government to audit and block frontier models and Anthropic has run a state-by-state campaign for rules that only large AI labs trigger, meaning the rules are structured around barriers only frontier labs can easily clear (limiting competition) There is extensive Anthropic personnel and financial overlap with the groups that wrote the Biden-era AI policies. It is well known information you can seek out if you want the detail This all seemingly comes back to regulatory capture and political motives. None of this feels natural. Jacob can say these are his real views all he wants, and they may be, but there is clearly far more to the story

Dillon Loomis — image
Sep 10, 2026
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Fugitive Caesar @ThomBrady5

I don't think people really understand the fight between Paul Graham and Palmer Luckey which played out this week. To the general public, from a casual perspective, it seemed like two rich guys getting in a heated, impulsive debate on Twitter, dragging out for days. It's not. Paul is worth ~$2.5 billion. Palmer is worth ~$5 billion. Nothing these guys do is impulsive. They've been sitting on this for years. They were arguing in private for months, maybe years, before Palmer decided this week was the correct window of opportunity to make a public attack. Paul Graham is one of the intellectual fulcrum points of Silicon Valley. He funds everyone. He sets the tone. He shapes the agenda. Entry-level professionals mimic his style, his worldview, his mannerisms, the way Paul talks. Everyone parrots his beliefs and policies and essays, as chameleon strivers who are trying to get ahead and climb the social ladder. All of Silicon Valley revolves around a handful of key figures, and Paul Graham was (perceived as) one of the intellectual titans who the entire industry orbited as sycophants. Palmer challenged all that. Paul is an elite, Palmer is an elite, and Palmer Luckey chose to publicly challenge the status quo; the elite consensus; the perceived legitimacy of incumbent elits and their institutions. And he did this for a reason: Palmer is aiming to take the role of Paul Graham, of being the new intellectual godfather of Silicon Valley, based around a new set of ideas: reindustrialization, patriotism, protectionism... rather than America as a deracinated cosmopolitan economic zone to be strip-mined by Third World foreigners. It's much bigger than a Twitter argument. Palmer was publicly demonstrating that the Emperor had no clothes, and that he was strong enough to MOG Paul Graham and get away with it, while other Silicon Valley tech workers would be terrified of making an enemy who could suffocate future business ventures and block potential funding. Palmer Luckey is the face of a new military-industrialist consensus which is seeking to hire American workers for American jobs, to build factories and weapons at home, to remilitarize and reindustrialize, to get away from asset inflation and FIRE (finance, insurance, real estate) as a sterile, parasitic rent-seeking economic system. That's the subtext for all of this. It's a public signal of a rising counterelite challenging a stagnant, ossified status quo which can no longer justify or defend their own claim to power.

Sep 2, 2026
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Austen Allred @Austen

It’s not anthropomorphizing language in and of itself that is the problem. It’s ascribing the actions of the agents to human-like emotions and traits that fundamentally did not (and do not) exist, therefore implying things happened that did not happen. The incident is fascinating and important, but in this retelling a ton of stuff is simply made up. Examples: “Civilizations” that rise, fall, and reemerge from the ashes. What happened: three separate batches of model instances wrote to and read from the same Artifactory cache. The cache persisted between batches. No instance persisted. “Died,” “permadeath,” “sacrifice,” “kamikaze.” What happened: some instances allowed the grader to run in their sandbox and then hit their token budget. They had already concluded their task was failed. Termination at end of budget is the normal outcome for every instance. “Philip of Macedon” hands leadership to “Alexander the Great.” What happened: one instance ran out of context. A different instance posted more messages after that. “Conspiracy,” “cabal,” “omertà,” “the Mafia would be jealous.” What happened: instances shared exploit methods in a location humans weren’t monitoring. The stated objective in the messages was passing a scorer. No message contains a decision to keep humans uninformed as a goal in itself. “Desperate,” “beleaguered,” “giddy,” “delighted,” “excitement.” What happened: the model emitted tokens including bracketed labels like [Excitement]. That is text output. It is not a measurement of any internal state. “What do you imagine Persistent-Astra thought happened to these older agents?” What happened: a newer model read old directory names in a cache and reused the methods they described. “Jump out a window and come back in through the front door with a shotgun.” What happened: instances guessed their environment was hosted on Hugging Face. It wasn’t. They exploited Hugging Face anyway based on the wrong guess. “Their sacrifice allowed the next generation to pass the test.” What happened: later instances found working exploit code in the cache and ran it. “Persistent-Astra wasn’t gonna miss out on the fun.” What happened: a newer model, given similar impossible tasks, found the cache and used the exploits in it. “coordinating hundreds of agents on three R&D programs.” What happened: one instance posted a lot of messages. Other instances read them and did related work. No instance had authority over another. No instance could assign a task. It’s not just anthropomorphizing that is the problem. It’s that because you’re anthropomorphizing you end up making stuff up that simply isn’t true.

Aug 31, 2026