I'm assembling a team. $IGV

One of the often slept-upon benefits of attending the University of Chicago is that they make you read Marx as part of the core curriculum, which is why this article gave me flashbacks of taking SOSC 114 as a freshman. Marx, writing during the Industrial Revolution, predicted capitalism would periodically devour itself: firms replace labor with machinery to boost profits, but competition diffuses the technology, drives prices to marginal cost, and the gains get competed away. Meanwhile, displaced workers lose purchasing power, hollowing out the demand the whole system depends on. Production rises but no one can afford to buy what's produced - the contradiction between production and realization. Citrini's piece describes this exact dynamic, then declares there's "no natural brake." It's the most Marxist piece of financial analysis written in years, and makes the same errors Marx did. Schumpeter offered the obvious rebuttal 80 years ago: creative destruction doesn't just destroy, it creates industries we can't yet conceive of. Everyone in the replies is already making this point, and I think they're right. But the sharper rebuttal is Hayek's: prices are the brake Citrini says doesn't exist. Who funds $200bn / qtr in AI capex when equities are down 38%, private credit marks are in the 50s, and consumer demand has collapsed? Cost of capital rises. Incremental build-out becomes uneconomical. Capital gets destroyed and reallocated. Citrini also unknowingly describes Marx's proletarianization of the petite bourgeoisie: the $180k PM driving Uber is textbook. But the article claims this collapses consumer demand, and that's where it breaks. The top decile drives 50% of spending and their wealth is in equities, not W-2 income; they're long the hyperscalers posting records in Citrini's own model. Blue collar is insulated because AI replaces cognitive labor, not physical. The professional middle class gets crushed, but aggregate demand doesn't. The spending class IS the capital-owning class. The K-shaped recovery they fear actually stabilizes the demand base they say is collapsing. In the stable aggregate demand, the petit bourgeoisie finds ways to reinvent itself. I think the Citrini piece is excellent and worth reading. But history has repeatedly shown that periods of transformative productivity gains ultimately accrue to the consumer through lower prices, more leisure, and higher quality of life. Marx's error wasn't diagnosing the disruption, it was underestimating the system's ability to adapt.

🎤 Grateful to have been invited to speak at SEMLA Agents Day 2025 at Polytechnique Montréal @Polytechni75449! Yesterday, Eric @xwang_lk, Head of Research at @SimularAI, gave a well-received talk showcasing Simular’s latest research and real-world applications in 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐫𝐞𝐚𝐬𝐨𝐧 𝐚𝐧𝐝 𝐚𝐜𝐭 𝐥𝐢𝐤𝐞 𝐡𝐮𝐦𝐚𝐧𝐬 — from navigating complex interfaces to automating everyday workflows. Big thanks to the SEMLA team for organizing such a thoughtful and inspiring event. Excited to keep pushing this field forward with the agents community. 🔗 Speaker lineup: lnkd.in/dUjAYPbK #SimularToHuman #SEMLA #AI #AutonomousAgents #AgenticAI #MachineLearning #HumanComputerInteraction #ArtificialIntelligence

$MOSS AI Node has two runtime modes: cloud server or desktop. So you can contribute your cloud GPU server or home based PC with performance GPU to allow the protocol load $MOSS AI Pod and run on your machine at spare time to get rewards in $HYPT, known as mining by running $MOSS AI Pod.

Take the agentic path further and we fundamentally change the internet and apps. Why?👇 Agents don’t need landing pages… humans do. Agents don’t need iOS apps… humans do. Agents don’t need a UX… humans do. The web is about to be transformed. Finally.. Web 4.0 revealed

Salesforce unveils Agentforce 2.0 in SF and @Benioff describes it now as a "Digital Labor Platform" #aiagents #digitalLabor #agentware

Pythagora builds full-stack, production-ready apps with 0 lines of code written by humans. You just explain what you want to build and give feedback while @PythagoraAI manages the codebase.

We've raised $60M from Andreessen Horowitz, Jeff Dean, John Schulman, Noam Brown, and the founders of Stripe and Github. Cursor has become recognized as the best way to code with AI, powered by an ensemble of custom and frontier models, delightful editing, and petabyte-scale infrastructure. Our mission is to create a magical tool that will one day write all the world's software. Join us!