Daniel Rock

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Daniel Rock

Daniel Rock

@danielrock

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

Philadelphia, PA Katılım Aralık 2008
2.2K Takip Edilen5.7K Takipçiler
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Adam Ozimek
Adam Ozimek@ModeledBehavior·
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Yann LeCun
Yann LeCun@ylecun·
Major difference in my mind: - an engineer, given a problem, invents and tries multiple solutions and stops when the solution is good enough. The goal is product innovation and shipping. - a scientist asks new questions, proposes various new solutions, compares them (sometimes with old ones), and writes about it. The methodology must be sound or else peers will sneer. The goal is scientific breakthroughs and technological progress. Both can be called "researchers". Many people can do both: these are activities, not identities. Importantly, most product innovations are built on scientific breakthroughs and technological innovations that happened 2, 5, 10, or 20 years earlier.
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Alex Imas
Alex Imas@alexolegimas·
Market failure: almost no slice shops sell Chicago deep dish pizza. To get a slice of the good stuff you have to wait for 45 min- 1 hour in a cracked leather booth listening to smooth 80s hits. I mean, it’s always worth it, but still…
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Daniel Rock
Daniel Rock@danielrock·
Four review requests in 48h… holiday weekends amirite
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Amazing Nature
Amazing Nature@AmazingNature00·
In northern Japan and the forests of China, you can see these flowers that appear normal but whose petals become transparent upon contact with water. Its common name is skeleton flower or crystal flower; its scientific name is Diphylleia grayi.
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Sean T at RCP
Sean T at RCP@SeanTrende·
I almost hesitate to promote this, because it wasn't really intended to be a piece. I just sort of sat down and it came out. Maybe someone else out there has the same type of day today, and it'll speak to them. realclearpolitics.com/articles/2026/…
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Kris Puckett
Kris Puckett@krispuckett·
I read through this twice. It's so well done.
Dan Shipper 📧@danshipper

We’ve automated every single thing we can @every with AI agents. And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3. I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI. After Automation: every.to/p/after-automa…

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Dan Shipper 📧
Dan Shipper 📧@danshipper·
We’ve automated every single thing we can @every with AI agents. And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3. I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI. After Automation: every.to/p/after-automa…
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linglingfool
linglingfool@linglingfool·
@Investor_NICK_ 100% true story: I told this joke at an interview coming out of college. Interviewer asked me to tell a joke and I froze. Couldn't think of anything appropriate, but he pushed me and I told it anyway. Worked there 6 years.
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Investor_NICK
Investor_NICK@Investor_NICK_·
Finance is probably worth pursuing as a career just to experience shit like this. Absolutely hilarious lol
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Kevin A. Bryan
Kevin A. Bryan@Afinetheorem·
You'll be shocked to find out that LPE not only has JDs with no economics background write nonsense econ policy briefs but they also have JDs with no technical background write terrible AI policy briefs. This is the main econ & AI education vector at Yale Law, hugely influential!
LPE Blog@LPEblog

Today, Matthew Scherer argues that the most pressing AI-driven crisis is the overestimation of AI’s capabilities and impacts, which has produced a historically large speculative AI bubble.

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Marc Andrusko
Marc Andrusko@mandrusko1·
Has anyone else on this app experienced a permanent and irreversible fear of undercooking chicken since 8th grade health class
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Crémieux
Crémieux@cremieuxrecueil·
The results are in: Retatrutide has led to STAGGERING weight loss in its phase 3 obesity trial. Participants lost *28-30%* of body weight on average after two years! Are you ready to end the obesity epidemic?
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