Podcasts about why information grows

The smallest technical decisions become humanity's biggest pivots:The same-origin policy—a well-intentioned browser security rule from the 1990s—accidentally created Facebook, Google, and every data monopoly since. It locks your data in silos—and you stayed where your stuff already is. This dynamic created aggregators.Alex Komoroske—who led Chrome's web platform team at Google and ran corporate strategy at Stripe—saw this pattern play out firsthand. And he's obsessed with the tiny decisions that will shape AI's next 30 years:- Whether AI keeps memory centrally or user-controlled?- Is AI free/ad-supported or user-paid?- Should AI be engagement-maximizing or intention-aligned?- How should we handle prompt injection in MCP and agentic systems?- Should AI be built with AOL-style aggregation or web-style openness?This is a much-watch if you care about the future of AI and humanity.If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Sponsors: Google Gemini: Experience high quality AI video generation with Google's most capable video model: Veo 3. Try it in the Gemini app at gemini.google with a Google AI Pro plan or get the highest access with the Ultra plan.Attio: Go to⁠⁠⁠⁠ https://attio.com/every⁠⁠⁠⁠⁠ and get 15% off your first year on your AI-powered CRM.Timestamps:Introduction: 00:01:45Why chatbots are a feature not a paradigm: 00:04:25Toward AI that's aligned with our intentions: 00:06:50The four pillars of “intentional technology”: 00:11:54The type of structures in which intentional technology can thrive: 00:14:16Why ChatGPT is the AOL of the AI era: 00:18:26Why AI needs to break out of the silos of the early internet: 00:25:55Alex's personal journey into systems-thinking: 00:41:53How LLMs can encode what we know but can't explain: 00:48:15Can LLMs solve the coordination problem inside organizations: 00:54:35The under-discussed risk of prompt injection: 01:01:39Links to resources mentioned in the episode:Alex Komoroske: @komoramaCommon Tools: https://common.tools/ The public Google document with Alex's raw ideas and thoughts: Bits and BobsA couple of Alex's favorite books: Why Information Grows by Cesar Hidalgo and The Origin of Wealth by Eric Beinhocker

Many of our listeners are familiar with Li Jin, an investor and co-founder of Variant Fund and is one of our favorite thinkers on crypto and the creator economy. Li is also joined by Eugene Wei. He's a web2 product visionary. Listeners may be familiar with some of his incredible blog posts such as, “Status as a Service”, “Invisible Asymptotes”, “Why Information Grows” and more.  In today's episode, these two gigabrains, one from web2 social, one from web3 crypto, talk about the future of status as a service, psychological ownership, and the future ties between social and crypto.  ------ ✨ DEBRIEF | Ryan & David unpacking the episode: https://www.bankless.com/debrief-li-jin-eugene-wei  -----

César Hidalgo is a Chilean-Spanish-American scholar in economic complexity, data visualization, and applied artificial intelligence. He's written some great books that we chat about today like Why Information Grows and How Humans Judge Machines. https://cesarhidalgo.com/ https://twitter.com/cesifoti https://twitter.com/RhysLindmark https://www.roote.co/ https://patreon.com/rhyslindmark Chapters: 00:00 Intro 2:10 How to represent ideas visually 5:45 What makes something a great visualization? 7:30 What is the through-line of your work? 10:30 How the printing press changed who can be famous 13:20 What messages are optimized for the internet? 16:30 Using the internet for governance 22:10 What are new network-native institutions? 26:55 How Humans Judge Machines? 31:20 Judging institutions on intentions vs. outcomes 36:30 How do humans judge machines on Haidt's moral foundations? 41:20 How did you give the book away for free as a pdf? 46:00 Connecting the physics of information to the geography of knowledge 51:30 Check out Center for Collective Learning

Maxwell's Demon is a famous thought experiment in which a mischievous imp uses knowledge of the velocities of gas molecules in a box to decrease the entropy of the gas, which could then be used to do useful work such as pushing a piston. This is a classic example of converting information (what the gas molecules are doing) into work. But of course that kind of phenomenon is much more widespread -- it happens any time a company or organization hires someone in order to take advantage of their know-how. César Hidalgo has become an expert in this relationship between information and work, both at the level of physics and how it bubbles up into economies and societies. Looking at the world through the lens of information brings new insights into how we learn things, how economies are structured, and how novel uses of data will transform how we live.Support Mindscape on Patreon.César Hidalgo received his Ph.D. in physics from the University of Notre Dame. He currently holds an ANITI Chair at the University of Toulouse, an Honorary Professorship at the University of Manchester, and a Visiting Professorship at Harvard’s School of Engineering and Applied Sciences. From 2010 to 2019, he led MIT’s Collective Learning group. He is the author of Why Information Grows and co-author of The Atlas of Economic Complexity. He is a co-founder of Datawheel, a data visualization company whose products include the Observatory of Economic Complexity.Web siteMIT web pageGoogle Scholar pageWikipediaTalk on replacing politiciansIn My Shoes (documentary film)DatawheelAmazon author pageTwitter

Is economic growth all about money, trade, and GDP, or are healthy economies built on a different foundation? In this episode, economist W. Brian Arthur and MIT physicist Cesar Hidalgo explain why human knowledge, knowhow, and innovation are the best measures of rising prosperity and future economic growth. Guest Bios W. Brian Arthur: Economist credited with developing the modern approach to increasing returns, and one of the pioneers of the science of complexity. Author of three books including The Nature of Technology: What it Is and How it Evolves. External Professor at the Santa Fe Institute. Cesar Hidalgo: Physicist, writer, and entrepreneur. Associate Professor at MIT, and Director of the Collective Learning group at the MIT Media Lab. Co-founder of Datawheel, a company that specializes in digital transformation solutions for governments and large companies. Author of Why Information Grows and co-author of The Atlas of Economic Complexity. Twitter: @cesifoti Further reading: Complexity Economics: a different framework for economic thought: https://docs.google.com/viewer?url=http%3A%2F%2Ftuvalu.santafe.edu%2F~wbarthur%2FPapers%2FComp.Econ.SFI.pdf Economic Complexity: From useless to keystone: https://docs.google.com/viewer?url=https%3A%2F%2Fchidalgo.com%2Fs%2Fnphys4337.pdf Complexity Economics Shows Us Why Laissez-Faire Economics Always Fails: http://evonomics.com/complexity-economics-shows-us-that-laissez-faire-fail-nickhanauer/ Learn more about your ad choices. Visit megaphone.fm/adchoices

NOVO LIVRO! Boa leitura, ideias fantásticas. Why Information Grows. The Evolution of Order, from Atoms to Economies. De César Hidalgo. Não sei se o título em português será Por que a informação cresce ou O porquê da informação crescer... Realmente não sei como traduzir esse título... mas o vídeo está legal demais! Livro muito bom indicado pelo Kaio Lemos. https://www.youtube.com/user/kaiomassacration Várias reflexões! Vamos construir uma comunidade de pessoas que gostam de ler e filosofar! Inscreva-se no canal! #livro #leitura #information

Featured Book: Spooky Action at a Distance, by George Musser. Quantum entanglement is one of the strangest ideas in modern physics – and could end up changing the way we think about space and time. And on the nightstand: Why Information Grows, by César Hidalgo; and Inventology, by Pagan Kennedy.

Cesar Hidalgo of MIT and the author of Why Information Grows talks with EconTalk host Russ Roberts about the growth of knowledge and know-how in the modern economy. Hidalgo emphasizes the importance of networks among innovators and creators and the role of trust in sustaining those networks.