『Bryan Caplan - Nurturing Orphaned Ideas』のカバーアート

Bryan Caplan - Nurturing Orphaned Ideas

Bryan Caplan - Nurturing Orphaned Ideas

著者： Dwarkesh Podcast
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

 Bryan Caplan is a Professor of Economics at George Mason University and a New York Times Bestselling author. His most famous works include: The Myth of the Rational Voter, Selfish Reasons to Have More Kids, The Case Against Education, and Open Borders: The Science and Ethics of Immigration.

For the inaugural episode of the podcast, Bryan Caplan talks with me about open borders, the idea trap, UBI, appeasement, China, the education system, and Bryan Caplan's next two books on poverty and housing regulation.

Become a supporter of this podcast: https://www.spreaker.com/podcast/bryan-caplan-nurturing-orphaned-ideas--7004413/support.Copyright Dwarkesh Podcast 社会科学 経済学
エピソード
  • Tyler Cowen - The Great Reset

    Tyler Cowen - The Great Reset
    2026/05/02
    Show notes.

    Tyler Cowen is Holbert L. Harris Professor of Economics at George Mason University and also Director of the Mercatus Center.Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform.Transcript + Podcast website here.Follow Tyler Cowen on Twitter. Follow me on Twitter for updates on future episodes.Timestamps(0:00) - The Great Reset (2:58) - Growth and the cyclical view of history (4:00) - Time horizons, growth, and sustainability (5:30) - Space travel (8:11) - WMDs and end of humanity (10:57) - Common sense morality (12:20) - China and authoritarianism (13:45) - Are big businesses complacent?(17:15) - Online education vs university (20:45) - Aesthetic decline in West Virginia (23:20) - Advice for young people (25:18) - Mentors (27:15) - Identifying talent (29:50) - Can adults change? (31:45) - Capacity to change men vs women (33:10 ) - Are effeminate societies better? (35:15) - Conservatives and progress (36:50) - Biggest mistake in history (39:05) - Nuke in my lifetime (40:35) - Age and learning (42:45) - Pessimistic future (43:50) - Optimistic future (46:28) - Closing Get full access to


    Become a supporter of this podcast: https://www.spreaker.com/podcast/bryan-caplan-nurturing-orphaned-ideas--7004413/support.
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    47 分
  • Bryan Caplan - Nurturing Orphaned Ideas

    Bryan Caplan - Nurturing Orphaned Ideas
    2026/05/02
    Bryan Caplan is a Professor of Economics at George Mason University and a New York Times Bestselling author. His most famous works include.

    For the inaugural episode of the podcast, Bryan Caplan talks with me about open borders, the idea trap, UBI, appeasement, China, the education system, and Bryan Caplan's next two books on poverty and housing regulation.

    Become a supporter of this podcast: https://www.spreaker.com/podcast/bryan-caplan-nurturing-orphaned-ideas--7004413/support.
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    1 時間
  • Reiner Pope – The math behind how LLMs are trained and served

    Reiner Pope – The math behind how LLMs are trained and served
    2026/04/29
    Did a very different format with Reiner Pope - a blackboard lecture where he walks through how frontier LLMs are trained and served.It’s shocking how much you can deduce about what the labs are doing from a handful of equations, public API prices, and some chalk.It’s a bit technical, but I encourage you to hang in there – it’s really worth it.There are less than a handful of people who understand the full stack of AI, from chip design to model architecture, as well as Reiner. It was a real delight to learn from him.Recommend watching this one on YouTube so you can see the chalkboard.Reiner is CEO of MatX, a new chip startup (full disclosure - I’m an angel investor). He was previously at Google, where he worked on software efficiency, compilers, and TPU architecture.Download markdown of transcript here to chat with an LLM.Wrote up some flashcards and practice problems to help myself retain what Reiner taught. Hope it's helpful to you too!Sponsors* Jane Street needs constant access to incredibly low-latency compute. I recently asked one of their engineers, Clark, to talk me through how they meet these demands. Our conversation—which touched on everything from FPGAs to liquid cooling—was extremely helpful as I prepped to interview Reiner. You can watch the full discussion and explore Jane Street’s open roles at janestreet.com/dwarkesh* Google’s Gemma 4 is the first open model that’s let me shut off the internet and create a fully disconnected “focus machine”. This is because Gemma is small enough to run on my laptop, but powerful enough to actually be useful. So, to prep for this interview, I downloaded Reiner’s scaling book, disconnected from wifi, and used Gemma to help me break down the material. Check it out at goo.gle/Gemma4* Cursor helped me turn some notes I took on how gradients flow during large-scale pretraining into a great animation. At first, I wasn’t sure the best way to visualize the concept, but Cursor’s Composer 2 Fast model let me iterate on different ideas almost instantaneously. You can check out the animation in my recent blog post. And if you have something to visualize yourself, go to cursor.com/dwarkeshTimestamps(00:00:00) – How batch size affects token cost and speed(00:32:09) – How MoE models are laid out across GPU racks(00:47:12) – How pipeline parallelism spreads model layers across racks(01:03:37) – Why Ilya said, “As we now know, pipelining is not wise.”(01:18:59) – Because of RL, models may be 100x over-trained beyond Chinchilla-optimal(01:33:02) – Deducing long context memory costs from API pricing(02:04:02) – Convergent evolution between neural nets and cryptography Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribeBecome a supporter of this podcast: https://www.spreaker.com/podcast/bryan-caplan-nurturing-orphaned-ideas--7004413/support.
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    2 時間 14 分
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