Professor at the Rotman School of Management, University of Toronto. Chief Economist of Creative Destruction Lab bio.site/joshuagans
Toronto, Ontario
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This is incredible.
How are prices determined? While I slept, Claude made me "History of economic thought since Aristotle." I asked it to use my favourite textbook (Blaug, Economic Theory in retrospect). The result will astonish of you. Even top economists here will learn something, I promise.
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Studying how advertising claims direct consumers to different customer experiences, and how prices change the available evidence, from @joshgans nber.org/papers/w35770
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Joshua Gans retweeted
A new version of @Afinetheorem ' Modern Editor
"Grammarly for LaTeX, powered by Codex."
It does something I always wanted:
Codex suggests edits, then I can move quickly through them---accept, reject, or edit---while being in control
Made with AI
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Joshua Gans retweeted
Flight delayed 7 hours - asked Muse to file for compensation. 5 mins later i had $250 credit in my delta account. it even found and rebooked me a new flight.
it just figured everything out. even responded to the support email itself.
shit feels like magic.
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Joshua Gans retweeted
Good post. I would add: do the researchers at the frontier labs just say “Okay, no RSI?” Some of them might , but others will simply move abroad. Many are foreign nationals, including Chinese foreign nationals. As someone might say, “Solve for the equilibrium “
Most definitely agree with @tylercowen here. Stop expecting the easy fix. marginalrevolution.com/margi…
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New paper today on whether AI providers should be held liable for cybersecurity attacks on their customers. This is something being called for by @HawleyMO and @GaryMarcus . Turns out there is an economic case for liability. papers.ssrn.com/sol3/papers.…
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Making AI providers liable for some share of cybersecurity losses mitigates that incentive, so it is welfare-improving. Of course, interestingly, this is somewhat trickier for competitive AI providers than for monopolists who 'self-high-price.'
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Most definitely agree with @tylercowen here. Stop expecting the easy fix. marginalrevolution.com/margi…
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This, for anyone who has worked with LLMs intensively, is completely unsurprising. They are excellent at finding ways of getting the problem solved the easiest way. scientificamerican.com/artic…
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It is intriguing to me why the Siri AI and Muse assistants seem so much more useful than ChatGPT and Claude. I think it is because they are focused on non-work stuff. Both have expanded my AI usage.
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Suck it Amazon. I just used Muse to order something else. Now you can suffer from those extra margin profits. Bwahaha.
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Oh wow. I used Muse to shop on Amazon and it made them a sale. But Muse could just as easily shop elsewhere because it basically replicated what Amazon provides. Muse also asked for customer permission so I don't see the issue here.
Amazon cuts off Muse.
While I am bullish Meta and Muse, I think many people are overlooking the digital knife fight that’s about to occur
Nobody wants to get commoditized or layered here. Let the games begin
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"Imagine waking up one day to find that AI has wiped out your species because they see it as a long-term threat."
"Yeah, I really don't want to die."
"Not you. The New Calendonian crow."
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Thanks Po-Shen for the shoutout to my post here.
I think there is an urgent need for every community to declare and commit to a central core value: we (humans) should help humanity flourish.
Thanks to Terry Tao for highlighting many different views on the future of #Math+#AI on his blog by cross-posting guest posts:
terrytao.wordpress.com/2026/…
More interactive version: poshenloh.com/posts/20260919…
The post reasons through why that human commitment then reconciles several conflicting positions that different groups had been taking over recent months: (1) it's important to preserve a strong community of human experts in every line of work (not just math), (2) AI can create significant new value for humanity, (3) people should change with technology, and (4) AI is going too fast, and must to slow down.
Along the way, I predict that AI will slow down because we ironically have just created ... too many jobs to fill. That's because of the specter of AI-accelerated hacking. I hope this can lead more (human) communities to publicly declare that they are organizing their AI-driven strategic changes to advance human flourishing.
Personal note: Ever since I had the opportunity to take a class from Terry Tao back at UCLA in 2008 (as a not-particularly noteworthy student), I was struck by his humility amidst astonishing brilliance (not just in math, but remarkably broadly). So, I knew that when I saw his name among the 25-Fields-Medalist declaration about the misalignment between AI and Math, he was trying to act in good faith. I am thrilled to collaborate in this way.
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