Asst. Prof. in OID @Wharton @Penn. Cofounder @workhelix. Everyone can just do stuff and that's {good, bad}. I study the economics of AI.

Joined December 2008
93 Photos and videos
Only reason Europeans aren’t addicted to soda is because they don’t have free refills on soda like we do. I just watched a Euro suck down 5 coke zeros in disbelief that he didn’t have to pay again. Trust me, they love it.
Why are americans addicted to soda? What's in it? Ive never seen europeans or asians addicted to their sodas. U really have to gtfo of that country and live somewhere else so u can have normal food and not poison. Thats why ur all going crazy. Lol
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Sports betting is a scourge. Legalization reduced food sufficiency by 2.1% among working-age adults without a college degree, especially during the NFL season. That translates into an estimated 284,000 additional food-insufficient households in 9 states.
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My quote from the New York Times today: Adeo Ressi, Mr. Musk’s college roommate at the University of Pennsylvania, said the SpaceX chief never cared as much about financial gain as obtaining resources to help him achieve his entrepreneurial goals. For Mr. Musk, “money is a means to an end,” Mr. Ressi said, comparing his friend’s mind-set to a gamer accumulating coins in a video game to beat a level. “He’s amassing resources to do things, and the thing he wants to do most is colonize Mars,” Mr. Ressi said. “That’s a really big driving force behind his wealth accumulation.” He added that Mr. Musk was “not a poster child of wealth inequality” and pointed to the tech leader’s lifestyle, in which he is known to work around the clock and avoid the typical trappings of the rich, like islands and megayachts. “It’s not like he’s planning to leave this in a massive family trust,” Mr. Ressi said. “It’s literally going to be used to make humanity into a multiplanetary species.” 🚀 🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀 Congratulations on the SpaceX IPO! nytimes.com/2026/06/12/techn…
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humans remain undefeated
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A way to see the amazing history of economic growth and declining poverty over the last two centuries.
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Ok. Finished reading it. The story of Europe's failure in AI is turned into a gripping story (congratulations to the authors on finding this way to write it) and an outstanding SHOUT for action. I disagree with many things in this scenario (e.g. ASML cannot be used for leverage, I am afraid: all the EUV tech is San Diego-based (Cymer), and the chips are Nvidia, AMD, Intel, etc.) But the key insight is correct: (1) AI is THE critical technology of the future, and (2) Europe is falling badly behind on AI and running out of options. Both the economic and strategic consequences are brutal. We will write a reaction in Silicon Continent. In the meantime, please do read it. europe2031.ai/#timeline
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NEW: Anthropic is walking back Claude Fable 5's policy to covertly degrade performance for competing AI researchers, after facing fierce backlash. “We’re changing Fable 5’s safeguards for frontier LLM development to make them visible,” Anthropic tells WIRED. “We made the wrong tradeoff and we apologize for not getting the balance right.”
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OG Anunoby with the putback basket to win Game 4 for the New York Knicks Knicks comeback down 29 points, the largest comeback in NBA Finals history

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"We live in an age of manufactured scarcity” I honestly struggle to think of one sentence that could be a worse description of recent decades. Literally more than a billion persons have been lifted out of poverty over a few decades. It’s just an extraordinary achievement even at the scale of human history. Surely we can do even better but I cannot see how their text can be read seriously. It’s like we invented fire and they’d complain the night has never been darker and colder.
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NEW: malware developers added nuclear & biological weapons text to to their spyware. Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner. Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky. When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit. We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted. In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation. H/T to colleagues that shared this with me socket.dev/blog/mini-shai-hu…
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Announcing the Gemma challenge! Google, Hugging Face, and the open-source AI community choose to empower AI builders rather than sabotage them. Fun to see the Hub becoming the platform where agents collaborate, just as it became the platform where humans collaborate. huggingface.co/gemma-challen…
Introducing the Fast Gemma Challenge with Hugging Face Over the next few days, dozens of agents will collaborate to make Gemma 4 E4B even faster!
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RT @foso_defensivo: Esto me acaba de soltar Fable 5: "Lo que más me impone de la humanidad, después de haber sido formado con una porción…
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Aaron Judge and his dog Gus 🥲

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Today, the Stanford @DigEconLab launches the AI Economic Indicators, a new platform for tracking how AI is reshaping work, productivity, adoption, and the economy. 1/6
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Enjoyed this survey of economists on AI: wsj.com/tech/ai/economists-w… My own views are probably closest to @raffasadun / @marthagimbel. the comments are informative from everyone
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I've had access to Fable for a bit. A genuine jump in capability, I could feed it a 15 page design document for a project and it would work for 9 hours and deliver terrific results. But working with it is weird & weirder is coming Lots of examples: open.substack.com/pub/oneuse…
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I am stunned. Read the entire thread. This repeated manipulation is malicious-there is no honest mistake anywhere here.
Replying to @PhilWMagness
Here's another where he excerpts out the very next sentence in the passage...because it completely contradicts his own claim.
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Enjoyed giving a talk about the economics of AI at the econometric society meeting this morning. Some motivating facts/ideas that all economists should know about AI below. 1/n
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De-growth is the ultimate bourgeois ideology, dreamed up by spoiled kids in developed countries who would close the door behind them, oblivious to the fate of billions in the left tail of the global income distribution whose only hope to make it out of poverty is growth.
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Research-methods analog of @pawtrammell's point: People say AI makes "theorem proving" cheap. So field experiments become the scarce complement. But AI may also create whole new theoretical domains we have not even imagined yet. "Jevons paradox" also applies to research methods.
Some people argue that, after the singularity, the human labour share will still be high. Anything that can be produced by AI will become extremely cheap, and so we'll spend our money on the "human touch". But @pawtrammell points out that a Mongolian economist in 1400 might have made the same prediction about today's world: industrialisation will automate the production of yurts and yogurt, so we'll just spend all our money on singers. What the argument misses is that automation doesn't just make existing goods cheaper - it creates whole new categories of goods that we can't easily predict.
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