The Academy for Philosopher-Builders. Building AI for human flourishing. Writing at https://xitter.cf/t.co/aef99Piwlj

Austin, TX
Joined September 2023
The AI age demands a new kind of technologist: The Philosopher-Builder.
Every builder's first duty is philosophical: to decide what they should build for. AI is beginning to decide what ideas reach your mind—your next action, your next job, your next relationship. It will tempt you to outsource your thinking in ways you’ve never been tempted before. Left unchecked, this becomes autocomplete for life. 200 years ago, when mechanization was starting to transform the world, the German philosopher Wilhelm von Humboldt warned of this very dynamic: To flourish as humans, we have to be self-directed. We are the architects of our own becoming. But if we offload our thinking—if we let AI automate what we once pursued with intention—is it still our life to live? To build AI that advances human flourishing, we need technologists who combine technical ability with moral vision. Silicon Valley once embodied this: Jobs and Wozniak asked what kind of creative life personal computers should enable; ARPANET's pioneers envisioned what kind of connected society networks should foster. But today, we now see three dominant archetypes: 1. The puzzle-absorbed: Solving technical challenges without reflecting on broader ends 2. The reductionists: Collapsing morality into math 3. The dismissers: Waving off philosophy as irrelevant to progress All three abdicate the fundamental question: What should we build for? This is where philosophy is essential. Because the job of a builder isn’t just to ship. It’s to shape a shared world. We need a new kind of technologist—one who builds with human flourishing in mind. Who resists centralized control. Who strengthens autonomy instead of mining attention. We call them Philosopher-Builders. @cosmos_inst exists to train and support them—people who translate deep thinking into systems, institutions, and infrastructure that serve human ends. If you believe the future of AI should expand human freedom and lift human potential, read the full essay.
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I often find debates around AI deference frustratingly narrow. This is probably because they're grounded in philosophical accounts of autonomy that tie themselves in knots trying to establish when our choices are truly our own. Here's my attempt at an alternative framing.
“Avoiding excessive deference to AI is important, but it is ultimately secondary to whether we can renew the virtues, traditions, and institutions required to form good choosers.” @chalmermagne on why the AI deference debates we have are too narrow. blog.cosmos-institute.org/p/…
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“Avoiding excessive deference to AI is important, but it is ultimately secondary to whether we can renew the virtues, traditions, and institutions required to form good choosers.” @chalmermagne on why the AI deference debates we have are too narrow. blog.cosmos-institute.org/p/…
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Wrote a quick essay for this; feedback/comments/questions welcome: angadh.com/ai-and-education-…
AI agents could make organizations far more productive, but leave people more isolated and less autonomous. We've teamed up with @inherent_labs on an essay prize exploring how organizations can harness AI while strengthening human autonomy and fulfillment. We're thrilled that @lugaricano, @gleech, @divyasiddarth, and Chris Summerfield are joining us as judges. blog.cosmos-institute.org/p/…
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What is a philosopher-builder? A philosopher-builder is someone who starts from a thesis about human flourishing. Rather than simply looking for a gap in the market, they start out with a vision of the human capacities that are worth developing, what constrains them, and how we can expand them. They reason from first principles about human potential and translate those insights into products or institutions. To understand what a philosopher-builder is, it’s important to grasp what they are not: 1. They are not philosopher-kings. They do not have a blueprint for a society or a theory about how everyone out to live. Some of our most importance capacities are independent judgment, creativity, and the pursuit of knowledge. They seek to expand these capabilities, not prescribe outcomes 2. Open to disconfirming evidence. A strong philosophical starting point is open to rational criticism and has to be tested against reality. Their hypothesis is open to challenge and evidence should not only inform how they build their product, but potentially cause them to revise their underlying thesis. Philosophical seriousness demands intellectual humility. 3. Not a nihilistic iterator. “Make something people want” is a powerful entrepreneurial discipline, but by itself, it cannot establish whether satisfying people’s immediate wants advances human flourishing. You cannot outsource your belief in which ends are worth pursuing to market feedback. The philosopher-builder is someone who combines philosophical conviction with empirical discipline. They have a vision, ambition, and an openness to revision. We believe that AI isn’t a normal technology like the internet or the smartphone that society will simply absorb. Instead, it will create the biggest opening for institution-building since the American founding and philosopher-builders will be more important than ever. If this vision of how to build resonates with you, we want to hear from you.
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"We live in an age of maximum information but minimum reflection." New guest essay from Devin Stauffer, Professor of Government at @UTAustin and Cosmos Founding Fellow on why reading the Great Books is more urgent than ever. blog.cosmos-institute.org/p/…
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"Those are counsels of passivity at a time when we need founders. The people in our community are not like that." @Brendan_McCord on @MTSLive, discussing why the AI age needs new Franklins like @luke_drago_, @vincentweisser, and @RuneKvist.
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Submit your essay! I look forward to reading it.
AI agents could make organizations far more productive, but leave people more isolated and less autonomous. We've teamed up with @inherent_labs on an essay prize exploring how organizations can harness AI while strengthening human autonomy and fulfillment. We're thrilled that @lugaricano, @gleech, @divyasiddarth, and Chris Summerfield are joining us as judges. blog.cosmos-institute.org/p/…
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AI agents could make organizations far more productive, but leave people more isolated and less autonomous. We've teamed up with @inherent_labs on an essay prize exploring how organizations can harness AI while strengthening human autonomy and fulfillment. We're thrilled that @lugaricano, @gleech, @divyasiddarth, and Chris Summerfield are joining us as judges. blog.cosmos-institute.org/p/…
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Introducing SnapJudge: a free, open AI detector for scientific writing, including math! Drop in a PDF screenshot, paste text or LaTeX, or just put in an arXiv link. We ran it on arXiv: ~1 in 3 new math papers are flagged as mostly AI, up from ~0 in early 2025. CS is 45%. 🧵
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New piece by myself and @lawhsw on what philosophy of science can tell us about AI development. Models are currently great at verifiable tasks, because they start out with a bunch of relevant context and domain knowledge, and can Try Stuff Until It Works; then we can reinforce that Stuff till they're extremely good. But in most areas, it isn't easy to check if It Works. So will the success of models be isolated to verifiable domains? We argue not. Becoming competent in any area requires two things: a map of the relevant territory, and an ability to navigate it. Pretraining teaches the former, and RL teaches the latter. Why expect RL to transfer? As Popper argued, the basic pattern of navigation — proposing ideas, finding faults, trying alternatives — is common to all endeavours involving the growth of knowledge. So training on maths and code doesn't just teach models maths and code. It teaches reusable ways of searching for procedures that transform an initial state into a desired one. Getting from a blank Lean document to a completed proof obviously requires different procedures from turning a rough draft into a great essay. But the abstractions learned in discovering the former make the latter easier to learn, provided pretraining has given the model enough knowledge of the new domain. "A verifier determines what earns a reward; it underdetermines what a model learns in trying to earn it". Or, verifiability tells us where capabilities are easiest to train, not the limits of what that training can teach. Read it! blog.cosmos-institute.org/p/…
"Judgment can be informed without being mechanical: editors are not guessing blind." @_AashishReddy and @lawhsw argue that skills obtained in verifiable domains like math and code carry over to unverifiable domains like writing. blog.cosmos-institute.org/p/…
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"Judgment can be informed without being mechanical: editors are not guessing blind." @_AashishReddy and @lawhsw argue that skills obtained in verifiable domains like math and code carry over to unverifiable domains like writing. blog.cosmos-institute.org/p/…
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"No one who advocates for pacing can really tell me what power the pacer would not have." @Brendan_McCord went on @MTSlive to talk about how calls to 'pace the frontier' risk turning into a blank check for government to reach further and further into frontier labs.
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For the last few months, I've been hard at work improving Mr. Chatterbox, the Victorian Gentleman Chatbot. Now, I'm excited to release the results: Mr.Chatterbox-2.7B, pretrained *and* fine-tuned on 19th-century text. Chat with him here: huggingface.co/spaces/tventu…
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Thank you to the researchers, founders, investors, and academics who joined us in Brooklyn for our dinner with ex/ante founder @zweinberg. We discussed whether AI will centralize or decentralize, how it will shape our character, and the importance of democratic renewal.
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Cosmos Institute founder @Brendan_McCord warns that giving regulators the power to slow down frontier AI could create an authority with virtually no limits: "Developing tools to pace the frontier is assigning power to pace the frontier. And if you assign power in a free society, you also have to demarcate it. You have to place limits on it." "Something as ill-defined as pacing, today it's compute, tomorrow it's algorithms, maybe the way a research organization is set up, is going to force any would-be pacer to dynamically redefine its jurisdiction. No one who advocates for pacing can really tell me what power the pacer would not have." "If you were gonna pace the whole frontier, you need a way to deal with defectors, which means you need an ability to coerce actors who don't wanna stop. That's what needs to be defined if we're gonna have this be a liberal institution." @cosmos_inst
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A meditation from me on how technology is changing our relationship with effort and excellence, featuring early Christian monasticism and the noonday demon.
“The effort is not an inefficient means of obtaining an independently available good, but part of the way the activity acquires meaning in our lives.” @chalmermagne on the danger of shortcuts and why true understanding is hard to acquire. blog.cosmos-institute.org/p/…
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“The effort is not an inefficient means of obtaining an independently available good, but part of the way the activity acquires meaning in our lives.” @chalmermagne on the danger of shortcuts and why true understanding is hard to acquire. blog.cosmos-institute.org/p/…
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What should an open scientific paper look like in the AI age? We made a demonstration project out of our paper on the childhood socioeconomic circumstances of the Nobel Laureates. Please check it out and share. Details in 🧵 1/
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Loved this Cosmos fireside with @sebkrier on AI x free society @ Maxwell in NYC Thanks to all who came!
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