Peter John Lambert
@pj_lambert
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PhD student at @LSEEcon Interested in organizations, industries, jobs, and economic growth. 🇦🇺🇨🇦 Website: https://t.co/m0vapuB3xE RT≠Endorsement.
London, UK
Joined July 2020
@infornomics And maybe my desire to call this engineering or mathematics IS ALSO anthropomorphizing. Maybe it's both. I guess the question is whether bigger/more powerful models substitute for reasoning, or is this actually a distinct, powerful process.
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My guess is it's mostly (c). But this is nothing to sneeze at, clearly there are huge Aschenbrenner-style "unhobbling gains" when you can pinpoint the exact moment things went awry. But maybe the upsides are deeper and I am missing something...
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RT @Prashant_Garg_: 🚨 Christmas and Chocolate: The hidden Supply Chain 🚨 Why it matters: Chocolate is central to global celebrations, espec…
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RT @OurWorldInData: What can the history of book production teach us about economic growth? A few centuries ago, the only way to produce a…
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Naturally occurring data, like online job postings, are a powerful tool for measuring fundamentals of an economy with the right methodology in place. Paper below by @PawelAdrjan and Reamonn Lydon provides an excellent case-in-point for measuring wages.
Excited to share that my paper with Reamonn Lydon is now published in Research in Labor Economics! Main insights: ✅ Online job postings offer timely insights into wage trends ✅ Post-pandemic wage growth surged, especially for lower-paid jobs — signalling strong labour demand
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Nice summary by @JMateosGarcia on Anthropic's new teal, Clio. Hoping to see other companies follow suit, and also a public API soon. Extensive margin analysis of AI adoption really masks hugely diverse applications, skill levels, and intensity of use.
Clio: Privacy-preserving insights into Real-World AI use. Anthropic have developed a pipeline to cluster and visualise Claude user conversations. This is informing trust and safety efforts and creating evidence about AI real-world adoption. Very cool!
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@JMateosGarcia It’s super cool - but perhaps more importantly now that Anthropocene have moved I am hoping other organisations follow suit and we will soon have a wholistic view of how chatbot LLMs are being used! We need something like Google keywords for AI tools badly!
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RT @ymschindler: Reports of @realDonaldTrump team wanting to overhaul US bank regulation have sparked a lot of debate about deposit insuran…
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The comparison of Bristol/London to SF/Denver is not ideal, as many people live in Bristol and work in London (I know some of these folks). Not sure if data used is worker or firm locations, but mobility matters here. But I agree with the general points. Between WFH and UK rail links, you would think there would be less of a delta for sure.
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The full thread of the papers contributions and findings can be found here:
New Research! "Bad Bank, Bad Luck? Evidence from 1 Million Firm-Bank Relationships" We build a large novel dataset on US bank-firm relationships to ask the question “How do bank failures affect small businesses?” This is my job market paper! #econtwitter #finance #banking A🧵summarizing our findings:
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The POLICY discussion we raise is whether or not protecting firm CREDITORS makes sense. One thought is to place non-zero weight on this during bank resolution process. BUT this implies a down-weighting of the deposit-recovery mandate, something that poses huge risks too. I'm also not a fan of multifaceted regulatory objectives, just as a principle.
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