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Would U all like to hear some of the songs & albums that DOOM and I were listening to during the times when MadVillainy started to be an idea, then a thing, then an album he was actively working on with Madlib's beats??
I am writing a lot of things for clients so I'll TRY to thread but follow along the TL and that's what the next couple hours of songs and albums - likely youtube links - represent.
(thread, i hope)
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gary is a solid reason to not take ycombinator seriously ever again
Mo@atmoio
AI is making CEOs delusional
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Nomination for photo of the year 2026
📸 @dbofsf
High end retail meets harm reduction. Humans still rotting on the sidewalk.

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San Francisco in the 1980s.
Scenes of North Beach in 1982.
Whenever I see older folks in neighborhoods like this, it makes me miss my grandparents and all the other people that were a part of my life when I was growing up.
I miss the all the shopkeepers who knew your name and the neighbors who always looked out for each other. The stories they shared, their daily routines, and even the smallest gestures once felt ordinary but now seem invaluable.
I think about them often, and whenever I catch glimpses of that kind of community, like the one North Beach had back then, it brings all those memories back.
In 1982, North Beach maintained its reputation as San Francisco’s bohemian and Italian neighborhood. It was defined by old-school cafés, Beat-era history, and a growing nightlife scene. Broadway was packed with jazz clubs, dive bars, and strip clubs, while Mabuhay Gardens and The Stone were drawing punk and metal crowds.
source footage 🎥: KTVU
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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.
Citrini@Citrini7
I spent 100 hours over the past week researching, writing and editing the piece we just put out. It’s a scenario, not a prediction like most of our work. But it was rigorously constructed, dismissing it outright requires the kind of intellectual laziness that tends to get expensive. And we’ve released it for free. Hopefully you enjoy it. citriniresearch.com/p/2028gic
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how it felt writing articles (online) in mid- late- 2010s
Balaji@balajis
Much of any digital job is now preparing context for AI models. Organizing files in folders, naming everything correctly, introducing things in the right order, and only then asking the AI to do something in clear written English.
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