Jason Potts (@profjasonpotts) header
Jason Potts (@profjasonpotts) profile picture

transhumanism, transindustrialism

Queenstown-Lakes District
Joined December 2015
Photo by Jason Potts (@profjasonpotts)Photo by Jason Potts (@profjasonpotts)Photo by Jason Potts (@profjasonpotts)Photo by Jason Potts (@profjasonpotts)Photo by Jason Potts (@profjasonpotts)Photo by Jason Potts (@profjasonpotts)Photo by Jason Potts (@profjasonpotts)Photo by Jason Potts (@profjasonpotts)
Why I'm almost certain that AI is about to usher in a golden age of rapid scientific discovery: noahpinion.blog/p/a-golden-a…
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Phil brings receipts
🧵on the AI audit of Saez and Zucman and by implication Piketty (or PSZ together): Since some are objecting to what the computer found, here's a list of biases in this trio's work that were found by humans over the last decade.
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Jason Potts retweeted
Werner Herzog on psychoanalysis: “If you harshly light every last corner of a house, the house will be uninhabitable. It’s like that with your soul.” Only Herzog could make a metaphor about darkness sound this profound.
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We need to fundamentally rethink what universities do and rebuild them around the new digital economy in which intelligence is a commodity. This is indeed a massive opportunity
The last time a new machine threatened a third of American jobs, we reinvented how we educated our kids. That bet sparked an epic 100-year run. It is time to make it again.
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Jason Potts retweeted
Lots of debate this week on whether journals should ban AI in peer review. We actually tested this in our new preprint, and the results were pretty clear to me. For context, I've reviewed for most of the big journals and evaluated 1,000 human reviews as an editor. I love to read and evaluate science. TLDR: From now on I won't do any peer review without AI. For clinical trials, I'd even call human-only review dangerous 🧵
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Entrepreneurial universities are seeing an opportunity to meet market demand for harder, more meaningful courses, that seriously and deeply engage with social science knowledge. Watch this space - we’re building a new one in Queenstown for 2028
The Socratic seminars that my colleague @vstorr has developed over the past decade bringing students from around the world to engage in deep reading and serious conversation with me and my colleagues at @HayekProgram has demonstrated this essential truth. Students at the highest ranked schools in the humanities and social sciences demand such experience with classic texts in political economy and social philosophy — Hume, Smith, Bastiat, Tocqueville, Mill; Mises, Hayek, Kirzner, Buchanan, Tullock, Vincent and Lin Ostrom. It a great pleasure to be involved in this educational enterprise.
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“What is to prevent the emergence of a perfect ideology, which is not just internally consistent but quite literally impossible to think one’s way out of?” H/t @AndyMasley persuasion.community/p/the-t…
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“When democratic precepts are honoured, political power confers no rights beyond that of determining non-discriminatory rules.” W.H. Hutt (1964)
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Jason Potts retweeted
Joe Liemandt of Alpha School on why AI is today's 1910 tractor moment, and why parents once again have to rethink their kids' future: "In 1910, 90% of America had an 8th grade education. There were basically no high schools. And over 30% of America is a farmer. So everybody's on the farm, 8th grade was enough." "Then in 1910, the Case tractor rolled up on the American farm. You can go look at the ads, it literally looks like an Anthropic ad. 'Does the work of 50 programmers. Does the work of 50 farm hands.'" "Literally everybody in America realized 30% of the jobs are going away. That path is gone, and we have to get our kids ready for this new future. And it was that same recognition I think that parents have today." "What America did back then... they voted to fund an education that they never experienced. They knew they had to do something different than their background, see the world differently, to get their kids ready and get them the good jobs." "That school system became the industrial system we've had the last 100 years. It served us really well for 100 years, but now it's time for the next change." @jliemandt
What should school look like if AI can help students learn dramatically faster? Alpha School principal Joe Liemandt joins a16z's Erik Torenberg and Gagan Biyani of Horowitz Andreessen Academy (HAA) to discuss Alpha's model, where an AI learning engine compresses core academics into two hours a day and students spend the rest on teamwork, entrepreneurship, and other real-world skills. They explore why high standards make kids happier, how HAA is using motivation and real-world building to redesign college, what parents need to believe before choosing a new kind of school, why Joe expects AI to drive an explosion in entrepreneurship, and why Gagan thinks students should pick what they care about over whichever field seems safest from AI. 0:40 How Alpha reinvented the school day 4:47 Making Alpha believable at scale 6:13 Why kids want to do hard things 8:30 Fifth graders vs. the Wharton MBA test 10:48 Keeping kids in the 80 to 85% zone 13:08 Gagan on redesigning college 15:00 Why Stanford and MIT kids are terrified 19:30 Why college lectures are dying 22:45 Why Ivy League parents want a new path 25:00 The 1910 tractor moment for education 27:02 Why families should take the risk 34:35 Joe's dad on his Stanford dropout 42:10 What to study when AI is everywhere 48:33 Founders School's $1M guarantee 51:53 A 14-year-old cold calls Jensen YouTube: youtu.be/T4u2FoIm3pw @jliemandt @gaganbiyani @eriktorenberg
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Jason Potts retweeted
Science is not some hobby that serves the self actualization of people in a publicly sponsored job placement program. It is the systematic search for truth.
Wow, over 1,000 mathematicians have now joined the Association for Human Mathematics (AHM), committing to: > NOT publish AI generated math papers > NOT work with frontier labs > 654 of them went even further to NOT even use AI in their research, at all
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Fuzzy human in the loop
New Anthropic research: How AI agents shape experts' judgment calls When experts delegate work to an agent, do they still make the key decisions? We tested this in a randomized trial with 50 professional data analysts.
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Today, I lectured on the economic history of fascism in my Global Economic History course. It is not a pleasant topic to discuss, but as I have mentioned before, I find it increasingly relevant. Tariffs as tools of statecraft, nationalist economic policies, the push for self-sufficiency in strategic goods, and the creation of closed economic blocs are back in the discussion. The slides are here: sas.upenn.edu/~jesusfv/GEH_1… The situations are not equivalent (and far be it from me to make facile comparisons), but one cannot deny the parallels either. For example, is it a good idea for a regional hegemon to build an economic bloc and close it to trade with the rest of the world? Should a country seek to control the supply of critical inputs (oil and rubber in the 1930s, rare earths and advanced chips today) rather than buy them on world markets? What balance between power and rules should hegemons seek in international relations? How important are economies of scale in modern economic growth? The last question is particularly salient. Many alternatives to the liberal international order, from the 1930s to today, argue that economies of scale are crucial for a developing state and that achieving them “playing by the rules” is hard. For example, AI is the ultimate increasing-returns-to-scale technology, and nations without control of frontier models will run their economies, culture, and knowledge production on an “operating system” someone else designed. In a world like that, what is the optimal economic strategy of a middle-sized nation? As always, my goal in the lecture is not to provide answers, but to force students to think about these questions on their own.
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The science communication problem is important here too. We’ve used peer review journals for centuries now (Nature started in 1869, the Royal Society journal (PT) was 17th century). Blockchains are the obvious substrate for permanence, verifiable, etc
Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory). AI starting to help us improve our understanding of the universe! openai.com/index/building-sc…
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In print times, scarcity was number of papers published (say 10 papers per issue, 4 issues per year). Job of journal editors was to find those top 40 papers in the field each year [to publish]
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But post ai (and digital) the real scarcity is reader attention. Maybe you, the median member of each field (a journal is a club), can read 40 papers per year. Job of editors is still the same. Find the 40 best papers [to read]
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Jason Potts retweeted
Terrific book
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