Podcasts about graphs

He aims to replace economic frustration with a practical understanding of our economy and empower us to identify and advocate for a better approach to the problems we face. Howard Yaruss breaks down our economic system in a straightforward, nonpartisan way, avoiding jargon, formulas, graphs, and other technical material so common in books on this subject. Instead, he uses accessible analogies, real-world observations, and entertaining anecdotes to create a comprehensive picture of our economy.A book that provides the tools needed to understand our economy, determine which policies would work best, and champion those policies effectively, Understandable Economics could not be more timely-or more necessary.HOWARD YARUSS is an economist, professor, attorney, businessman, and activist who has taught a variety of courses on economics and business and currently teaches at New York University. Prior to teaching, he served as Executive Vice President and General Counsel of Radian Group, one of the largest guarantors of debt in the world. Yaruss graduated from Brown University, studied at the London School of Economics, and earned a law degree from the University of Pennsylvania. He lives in Manhattan.He is the author of Understandable Economics: Because Understanding Our Economy is Easier Than You Think and More Important Than You Know. https://www.amazon.com/Understandable-Economics-Because-Understanding-Important/dp/1633888363#:~:text=Incomes%20are%20stagnating%2C%20middle%2Dclass,world%20observations%2C%20and%20entertaining%20anecdotes.http://www.yourlotandparcel.org

There's a huge amount of energy spent on how to get the most QALYs/$. And a good amount of energy spent on how to increase total $. And you might think that across those efforts, we are succeeding in maximizing total QALYs. I think a third avenue is under investigated: marginally improving the effectiveness of ineffective capital. That's to say, improving outcomes, only somewhat, for the pool of money that is not at all EA-aligned. This cash is not being spent optimally, and likely never will be. But the sheer volume could make up for the lack of efficacy. Say you have the option to work for the foundation of one of two donors: Donor A only has an annual giving budget of $100,000, but will do with that money whatever you suggest. If you say “bed nets” he says “how many”. Donor B has a much larger [...] ---Outline:(01:34) Most money is not EA money(04:32) How much money is there?(05:49) Effective Everything?--- First published: September 8th, 2025 Source: https://forum.effectivealtruism.org/posts/o5LBbv9bfNjKxFeHm/marginally-more-effective-altruism --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

During the IT Press Tour, I had the pleasure of speaking with Weimo Liu, CEO and co-founder of PuppyGraph, and hearing firsthand how his team is rethinking graph technology for the enterprise. In this episode of Tech Talks Daily, Weimo joins me to share the story behind PuppyGraph's “zero ETL” approach, which lets organizations query their existing data as a graph without ever moving or duplicating it. We discuss why graph databases, despite their promise, have struggled with mainstream adoption, often because of complex pipelines and heavy infrastructure requirements. Weimo explains how PuppyGraph borrows from his time at TigerGraph and Google's F1 engine to build something new: a distributed query engine that maps tables into a logical graph and delivers subsecond performance on massive datasets. That shift opens the door for use cases in cybersecurity, fraud detection, and AI-driven applications where latency and accuracy matter most. We also unpack the developer experience. Instead of rewriting schemas or reloading data every time requirements change, PuppyGraph allows teams to define nodes and edges directly from existing tables. That design lowers the barrier for SQL-focused teams and accelerates time to value. Weimo even touches on the role of graph in reducing AI hallucinations, showing how structured relationships can make enterprise AI systems more reliable. What struck me most in our conversation is how PuppyGraph's playful branding belies its serious engineering depth. Behind the “puppy” name lies a distributed engine built to scale with today's data volumes, backed by strong early adoption and a team that listens closely to customer needs. Whether you're exploring graph for cybersecurity, AI chatbots, or supply chain analytics, this discussion offers a glimpse of how the next generation of graph tech might finally break free from its niche and go mainstream. ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA

Generative AI has captured global attention, powering everything from chatbots to intelligent assistants. Yet in the enterprise, its promise often hits a dead end. According to Gartner, 80 per cent of enterprise data remains unused or “dark,” because conventional AI struggles to interpret complex, domain-specific information.In this episode of the Don't Panic It's Just Data podcast, EM360Tech host Trisha Pillay speaks with Andreas Blumauer, Senior Vice President at Graphwise, about how retrieval-augmented generation (RAG) and its advanced application, Graph RAG, are levelling up enterprise AI. Together, they explore the limitations of traditional AI, the critical role of knowledge graphs in improving data accuracy, and what it takes for organisations to successfully adopt these technologies.Why Graph RAG MattersWhile RAG enhances Generative AI by enabling it to retrieve relevant data from large knowledge bases, Graph RAG takes it further. By integrating knowledge graphs, Graph RAG preserves the relationships, sequences, and meaning inherent in enterprise data. This ensures AI outputs are not just collections of facts, but structured insights that reflect the logic of an organisation's knowledge.These advantages include:Higher accuracy: Retrieval precision can increase from 80% to 95%, reducing errors in AI outputs.Trustworthy results: Outputs are explainable and traceable, providing transparency that enterprises require.Scalable integration: Connects data across silos and departments, making AI adoption enterprise-ready.“Graph RAG respects the structure of enterprise data instead of flattening it. That's what makes it trustworthy,” explains Blumauer.Generative AI opened the door to possibilities. RAG made it actionable. Graph RAG takes it to the next level. By transforming dark, siloed data into structured, actionable knowledge, Graph RAG helps organisations achieve the accuracy, trust, and scalability essential for navigating the next frontier of enterprise intelligence.Takeaways80 per cent of enterprise data remains unused or dark.Traditional AI struggles to interpret complex enterprise data.RAG retrieves information from within the enterprise data landscape.Graph RAG improves the accuracy of AI outputs.Knowledge graphs link data points across different silos.Building a knowledge graph is a strategic investment.Incremental growth is possible with knowledge graphs.Graph RAG can increase accuracy from 80 per cent to 95 per cent.Data quality and governance are essential for AI success.The future of enterprise AI relies on effective knowledge management.Chapters00:00 Introduction to RAG and Graph RAG03:04 Understanding the Importance of Knowledge Graphs05:46 Adopting RAG: Organisational Readiness and Strategic Investment08:51 Real-World Applications and Benefits of Graph RAG11:56 The Evolution of Knowledge Graphs in AI14:46 Future of GraphRAG and Enterprise AI17:36 Rapid Fire Questions and Closing ThoughtsAbout GraphwiseGraphwise is a leading enterprise AI company specialising in knowledge graph technologies. By combining retrieval-augmented generation (RAG) with advanced graph-based approaches, Graphwise helps organisations turn siloed, complex data into accurate, actionable insights, enabling smarter decisions, scalable...

Why You Might Want to Run Multiple Disk Sweeping Apps Support the Show Security Bits — 31 August 2025 Transcript of NC_2025_08_31 Join the Conversation: allison@podfeet.com podfeet.com/slack Support the Show: Patreon Donation Apple Pay or Credit Card one-time donation PayPal one-time donation Podfeet Podcasts Mugs at Zazzle NosillaCast 20th Anniversary Shirts Referral Links: Setapp - 1 month free for you and me PETLIBRO - 30% off for you and me Parallels Toolbox - 3 months free for you and me Learn through MacSparky Field Guides - 15% off for you and me Backblaze - One free month for me and you Eufy - $40 for me if you spend $200. Sadly nothing in it for you. PIA VPN - One month added to Paid Accounts for both of us CleanShot X - Earns me $25%, sorry nothing in it for you but my gratitude

THE PØRNØGRAPHƏR alla SIC di Venezia, un cortometraggio realizzato con l'intelligenza artificiale. Intervista al collettivo "Hariel" The post “THE PØRNØGRAPHƏR”, intervista al collettivo “Hariel”, autore del cortometraggio appeared first on Fred Film Radio.

THE PØRNØGRAPHƏR alla SIC di Venezia, un cortometraggio realizzato con l'intelligenza artificiale. Intervista al collettivo "Hariel" The post “THE PØRNØGRAPHƏR”, intervista al collettivo “Hariel”, autore del cortometraggio appeared first on Fred Film Radio.

THE PØRNØGRAPHƏR alla SIC di Venezia, un cortometraggio realizzato con l'intelligenza artificiale. Intervista al collettivo "Hariel" The post “THE PØRNØGRAPHƏR”, intervista al collettivo “Hariel”, autore del cortometraggio appeared first on Fred Film Radio.

THE PØRNØGRAPHƏR alla SIC di Venezia, un cortometraggio realizzato con l'intelligenza artificiale. Intervista al collettivo "Hariel" The post “THE PØRNØGRAPHƏR”, intervista al collettivo “Hariel”, autore del cortometraggio appeared first on Fred Film Radio.

THE PØRNØGRAPHƏR alla SIC di Venezia, un cortometraggio realizzato con l'intelligenza artificiale. Intervista al collettivo "Hariel" The post “THE PØRNØGRAPHƏR”, intervista al collettivo “Hariel”, autore del cortometraggio appeared first on Fred Film Radio.

THE PØRNØGRAPHƏR alla SIC di Venezia, un cortometraggio realizzato con l'intelligenza artificiale. Intervista al collettivo "Hariel" The post “THE PØRNØGRAPHƏR”, intervista al collettivo “Hariel”, autore del cortometraggio appeared first on Fred Film Radio.

Maxime Lamothe-Brassard, Founder and CEO of LimaCharlie, and the Defender Fridays community sit down with Jared Atkinson and dive into BloodHound.Jared is a security researcher who specializes in Digital Forensics and Incident Response. Recently, he has been building and leading private sector Hunt Operations capabilities. In his previous life, Jared lead incident response missions for the U.S. Air Force Hunt Team, detecting and removing Advanced Persistent Threats on Air Force and DoD networks. Passionate about PowerShell and the open source community, Jared is the lead developer of PowerForensics, Uproot, and maintains a DFIR focused blog at www.invoke-ir.com.On Defender Fridays we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.Join the live discussions by registering at https://limacharlie.io/defender-fridays

Graphs.

How do you present research data in a compelling way? In this episode, Lucie and David discuss the intricacies of creating impactful visualisations for projects. They consider the distinctions between descriptive, exploratory, and presentation graphs. They emphasise the importance of understanding your audience, whether it's scientific, agricultural, or policy-making, and how to adapt visualisations accordingly to tell compelling stories.

### About the episode:Join Nataraj as he interviews Matt DeBergalis, CEO of Apollo GraphQL, about the evolution of GraphQL from an open-source project to a product company. Matt shares insights on building and scaling APIs, the challenges of transitioning open-source tech into a viable business, and how AI is reshaping API development. Discover how Apollo is helping companies of all sizes leverage GraphQL to build agentic experiences and modernize their API strategies.### What you'll learn- Understand the journey of GraphQL from open source to a product-driven company.- Explore the challenges of adopting and scaling GraphQL in enterprise environments.- Discover how GraphQL simplifies complex data combinations with its declarative language.- Learn how Apollo GraphQL helps companies accelerate the development of robust APIs.- Examine the role of GraphQL in building modern agentic experiences powered by AI.- Understand how to balance short-term shipping pressures with long-term architectural considerations.- Identify when GraphQL makes sense for a company based on its API size and consumption needs.- Discover how AI is driving increased API consumption and transforming user interfaces.### About the Guest and Host:Guest Name: Matt DeBergalis is the Co-founder and CEO of Apollo GraphQL, previously CTO and Co-founder at Meteor Development Group.Connect with Guest:→ LinkedIn: https://www.linkedin.com/in/debergalis/→ Website: https://www.apollographql.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Twitter: https://x.com/natarajsindam→ Substack: ⁠https://startupproject.substack.com/⁠→ Website: ⁠⁠⁠https://thestartupproject.io⁠⁠⁠### In this episode, we cover(00:01) Introduction to Matt DeBergalis and Apollo GraphQL(00:37) Matt's journey and the origins of Apollo GraphQL(03:24) The transition from open source to a company(05:02) GraphQL as a client-focused API technology(07:22) Meta's approach to open source technologies(10:11) Challenges of converting open source to a business(13:11) Balancing shipping speed with architectural considerations(15:52) The risk of adopting the wrong technology(19:13) The evolution of full-stack development(23:57) When does adopting GraphQL make sense?(26:45) Apollo's customer scale and focus(31:48) Acquiring customers and marketing to developers(33:52) Matt's transition from CTO to CEO(37:02) Apollo's sales motion and target audience(40:24) Matt's thoughts on AI and its impact(47:12) How AI is changing business metricsDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#GraphQL #ApolloGraphQL #API #OpenSource #Enterprise #AI #AgenticAI #APIDevelopment #Startup #Technology #SoftwareDevelopment #GraphQLAdoption #Kubernetes #React #FullStack #DataAnalytics #Innovation #DigitalTransformation #TechStrategy #Podcast

Episode OverviewIn this episode of CDO Matters, Malcolm Hawker sits down with Andreas Blumauer to explore how knowledge graphs are transforming enterprise data strategies. They discuss why semantics and domain models are critical for making data truly AI-ready, and how CDOs can use these tools to bridge the gap between data governance and AI innovation. If you're leading data initiatives and want to understand the future of knowledge management, this conversation is essential listening.Episode Links and ResourcesFollow Malcolm Hawker on LinkedInFollow Andreas Blumauer on LinkedIn

David Kinitsky is the CEO of Everstake, a leading global non-custodial staking provider serving institutional and retail clients, with $6.5 billion staked across 85+ networks. David was the founding General Manager of Grayscale Investments, now one of the world's largest digital asset managers, and previously led operations for SecondMarket, the private market platform later acquired by NASDAQ. Why you should listen Everstake is a professional staking provider founded in 2018 by a team of Ukrainian engineers. The company specializes in Proof-of-Stake (PoS) validation, helping individuals and institutions participate in securing blockchain networks while earning staking rewards. Today, Everstake supports more than 70 networks, including Ethereum, Solana, and Cosmos, and operates with a strong technical focus, maintaining over 99.9% uptime for its users. In terms of scale, the platform has worked with more than 735,000 stakers, facilitated over $6.5 billion in assets staked, and distributed around $712 million in rewards. Beyond being a validator, Everstake positions itself as a broader infrastructure partner within the Web3 ecosystem. The company has contributed to well-known projects such as Solana, Wormhole, The Graph, and Pyth, and has provided advisory and engineering support to help these networks grow. One of its most visible initiatives was managing the Aid for Ukraine crypto fundraising campaign, in partnership with the Ukrainian government and other industry players, which raised over $60 million for humanitarian and defense support. Recently, Everstake has also expanded into institutional services. Through a collaboration with io.finnet, it now enables enterprises to stake assets like ETH and SOL directly from secure multiparty computation (MPC) wallets, removing custodial risk while simplifying the staking process. This shows Everstake's dual focus: serving the crypto community at large while also providing infrastructure for institutional adoption. Supporting links Stabull Finance Everstake Andy on Twitter  Brave New Coin on Twitter Brave New Coin If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.

What makes a truly great nonprofit CFO? In this episode of Inspired Nonprofit Leadership, I'm joined by Neil Shah—seasoned CFO and founder of Altruva.ai—to talk about the difference between tracking numbers and driving strategy. We explore the role of fractional CFOs, the power of financial storytelling, and how AI is transforming nonprofit finance. Whether you're managing a budget or presenting to your board, this episode will help you think more strategically about your financial leadership. Episode Highlights 04:09 The Role of a Nonprofit CFO 04:48 Challenges and Solutions for Nonprofit CFOs 06:26 Neil's Journey to Becoming a CFO 11:40 The Value of a Fractional CFO 16:41 Financial Storytelling in Nonprofits 21:51 Visualizing Data with Graphs 22:36 Understanding Financial Trends 23:28 Key Financial Strategies for Nonprofits 28:22 Professional Development for CFOs 30:13 The Role of AI in Nonprofit Finance Meet the Guest My guest for this episode is Neil Shah. Neil has spent the past two decades serving as an outsourced or in-house Chief Financial Officer for non-profit organizations across the United States, organizations with annual budgets ranging from a few million dollars to almost half a billion dollars in annual government and philanthropic revenue. He has implemented audit/fraud-proof accounting and budgeting processes and procedures, upgraded new financial software systems that reduced manual workloads, and brought boards along the financial roadmap of the organization through education and storytelling. He is a partner with leadership teams and is able to provide the financial perspective of an issue while helping those teams understand the non-financial aspects of a situation, helping to find common ground while still ensuring financial sustainability. Neil received his bachelor's and master's degrees in business administration from the Marshall School of Business at the University of Southern California. Connect with Neil: https://www.cfogroups.com https://www.linkedin.com/in/neilshah26/ Sponsored Resource Join the Inspired Nonprofit Leadership Newsletter for weekly tips and inspiration for leading your nonprofit! Access it here >> Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

Are you tapping the power of Microsoft Graph? Richard chats with Tony Redmond about his work teaching people to leverage Microsoft Graph and all the insights it can provide about their organization. Tony views Graph as one of the key skills a sysadmin needs to manage an M365 tenant, alongside Exchange Online, SharePoint, and Teams. Throw in some Entra ID skills with Graph and you're ready to take on the rest - and there's a lot! Tony is also responsible for the excellent Office 365 for IT Pros book, now in its 12th edition for 2026. These are the fundamentals that can help you embrace the Copilot future we're all facing - and there's a lot to learn!LinksGraph PowerShell SDKAzure AutomationOffice 365 for IT Pros 2026 EditionMaesterAgent Governance in M365Secure Future InitiativeLinkable Identifiers in Microsoft EntraRecorded July 24, 2025

Well, Ryan Burge is back with a bunch of graphs about religion. We covered the supposed "Gen Z revival" (spoiler alert: Ryan's data says it's not happening), dove deep into some philosophical sociology about why people are leaving religion, and I went on my usual tangents about Charles Taylor and Hartmut Rosa, while Ryan kept bringing us back to earth with actual numbers. We also spent way too much time discussing whether teenagers will ever figure out how to ask someone on a date without an app, why Ted Cruz's theology is embarrassingly bad, and how both sides of the political aisle are united in their moral outrage over protecting children - whether that's the Epstein stuff or what's happening in Palestine. Classic Friday afternoon with Ryan. Want the full conversation? This is just a taste of what we covered in over two hours of completely unhinged discussion. If you're a member of either ⁠Graphs About Religion (Ryan's substack)⁠ or ⁠Process This (mine)⁠, you get access to the entire unedited conversation, plus invitations to join us live for future streams. Dr. Ryan Burge is a professor of practice at the Danforth Center on Religion and Politics at Washington University in St. Louis. He is currently working on “Making Meaning in a Post-Religious America” - funded by a grant from the John Templeton Foundation. Previous Visits from Ryan Burge The 2024 Election & Religion Post-Mortem ⁠Distrust & Denominations⁠ ⁠Trust, Religion, & a Functioning Democracy⁠ ⁠What it's like to close a church⁠ ⁠The Future of Christian Education & Ministry in Charts⁠ ⁠The Sky is Falling & the Charts are Popping!⁠ ⁠Graphs about Religion & Politics w/ Spicy Banter⁠ ⁠a Year in Religion (in Graphs)⁠ ⁠Evangelical Jews, Educated Church-Goers, & other bits of dizzying data⁠ ⁠5 Religion Graphs w/ a side of Hot Takes⁠ ⁠Myths about Religion & Politics⁠ UPCOMING ONLINE CLASS - ⁠⁠⁠The God of Justice: Where Ancient Wisdom Meets Contemporary Longing⁠⁠⁠ This transformative online class brings together distinguished scholars from biblical studies, theology, history, and faith leadership to offer exactly what our moment demands: the rich, textured wisdom of multiple academic disciplines speaking into our contemporary quest for justice. Here you'll discover how ancient texts illuminate modern struggles, how theological reflection deepens social action, and how historical understanding opens new possibilities for faithful engagement with our world's brokenness and beauty. Join John Dominic Crossan, Peter Enns, Casey Sigmon, Aizaiah Yong, & Malcolm Foley As always, the class is donation-based, including 0. INFO & Sign-Up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.FaithAndPolitics.net⁠⁠⁠ ⁠⁠⁠⁠Theology Beer Camp ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠is a unique three-day conference that brings together of theology nerds and craft beer for a blend of intellectual engagement, community building, and fun. Guests this year include John Dominic Crossan, Kelly Brown Douglas, Philip Clayton, Stacey Floyd-Thomas, Jeffery Pugh, Juan Floyd-Thomas, Andy Root, Grace Ji-Sun Kim, Noreen Herzfeld, Reggie Williams, Casper ter Kuile, and more! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get info and tickets here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. _____________________ This podcast is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Homebrewed Christianity⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ production. Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠the Homebrewed Christianity⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Theology Nerd Throwdown⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Rise of Bonhoeffer⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ podcasts for more theological goodness for your earbuds. Join over 70,000 other people by joining our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Substack - Process This!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Get instant access to over 50 classes at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.TheologyClass.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow the podcast, drop a review⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, send ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠feedback/questions⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or become a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠member of the HBC Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, Forethought and I are releasing an essay series called Better Futures, here.[1] It's been something like eight years in the making, so I'm pretty happy it's finally out! It asks: when looking to the future, should we focus on surviving, or on flourishing? In practice at least, future-oriented altruists tend to focus on ensuring we survive (or are not permanently disempowered by some valueless AIs). But maybe we should focus on future flourishing, instead. Why? Well, even if we survive, we probably just get a future that's a small fraction as good as it could have been. We could, instead, try to help guide society to be on track to a truly wonderful future. That is, I think there's more at stake when it comes to flourishing than when it comes to survival. So maybe that should be our main focus. The whole essay series [...] --- First published: August 4th, 2025 Source: https://forum.effectivealtruism.org/posts/mzT2ZQGNce8AywAx3/should-we-aim-for-flourishing-over-mere-survival-the-better --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

This newest episode of Dregs of Craigs comes to you with some new shark friends! We also discuss perusing for grannies, romance and horny-ness at the Anime Expo, a crazy YouTube channel pitch, and a graph cuck! Find out more at https://dregs-of-craigs.pinecast.co Send us your feedback online: https://pinecast.com/feedback/dregs-of-craigs/9c306d75-3895-4ed5-9621-24ecfffb6402 This podcast is powered by Pinecast.

Immerse yourself in captivating science fiction short stories, delivered daily! Explore futuristic worlds, time travel, alien encounters, and mind-bending adventures. Perfect for sci-fi lovers looking for a quick and engaging listen each day.

Gaurav Dey is joined by Sandy Tran, Product Manager for SAP Business Data Cloud (BDC) on SAP BTP, to discuss Business Warehouse (BW) modernization and BW transformation. Together they outline how customers can move from SAP BW 7.5 and BW/4HANA to BDC via the pragmatic “lift → shift → innovate” approach. Sandy details the new Data Product Generator, showing how legacy BW InfoProviders become SAP data products ready for AI in SAP scenarios—whether you're using SAP Datasphere, SAP Databricks, or intelligent copilots like SAP Joule. Listeners also get an early look at the SAP roadmap for 2025, which promises deeper object associations, automated dependency handling, and smoother SAP cloud migration paths.

The long-awaited, much anticipated return of Tim Heidecker to the Office Hours compound did not disappoint with the exclusive release of the Epstein List, along with some heartfelt tributes to fallen legends Ozzy Osbourne and to a lesser degree Hulk Hogan. Support Office Hours, watch another hour of today's episode including a cringey look at Billy Joel on Billy Maher's Club Random, Doug's Gaze the Graph game and lots more with OFFICE HOURS+. Get a FREE seven-day trial at patreon.com/officehourslive Get tickets to see Tim Heidecker on tour with Vic Berger IV and DJ Douggpound out west this summer at ⁠timheidecker.com/live⁠ Find everything Office Hours including the merch store at ⁠⁠⁠⁠⁠⁠⁠officialofficehours.com⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

The long-awaited, much anticipated return of Tim Heidecker to the Office Hours compound did not disappoint with the exclusive release of the Epstein List, along with some heartfelt tributes to fallen legends Ozzy Osbourne and to a lesser degree Hulk Hogan. Support Office Hours, watch another hour of today's episode including a cringey look at Billy Joel on Billy Maher's Club Random, Doug's Gaze the Graph game and lots more with OFFICE HOURS+. Get a FREE seven-day trial at patreon.com/officehourslive Get tickets to see Tim Heidecker on tour with Vic Berger IV and DJ Douggpound out west this summer at ⁠timheidecker.com/live⁠ Find everything Office Hours including the merch store at ⁠⁠⁠⁠⁠⁠⁠officialofficehours.com⁠ Learn more about your ad choices. Visit megaphone.fm/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We chat with Jennifer Reif about integrating LLMs with data using RAG, vectorized data, and Graph databases.Discuss this episode: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠discord.gg/XVKD2uPKyF⁠⁠

Still struggling to pick the right testing tools? Could no-code automation finally help your whole team contribute to automation? Is a new visual IDE about to change how you debug Playwright tests? Find out in this episode of the Test Guild New Shows for the week of July 13th.  So, grab your favorite cup of coffee or tea, and let's do this. Support the show learn more about AI and our sponsor: https://testguild.me/ZAPTESTNEWS 0:21 ZAPTESTAI https://testguild.me/ZAPTESTNEWS 1:00 Test Tool Matcher https://testguild.me/toolmatch 4:23 Playwright YAML https://testguild.me/z5ds0v 5:13 Empirical Run https://testguild.me/u50amj 6:14 Playcraft https://testguild.me/xjnwsy 7:16 Flame Graph https://testguild.me/c4vyx6 8:09 ParrotOS https://testguild.me/46kpls

Join Collin and Tyler as they take a break from discussing all things Hawks and preview the 2025 Big 10 Football Season. We use Phil Steele's CFB Magazine to dive into the data, examine trends, and analyze predictions. We look at unit position rankings, SOS, trends, and more to preview each team in the Big 10! (Time stamps below might be slightly off due to ads)(0:00) Intro (1:22) Phil Steele's Big 10 Forecast: Ranking 1-18 (5:49) Hardest and Easiest Schedules in the Big 10 (15:54) Position Unit Rankings: Graph (25:39) Experience Chart (27:32) Trends (32:55) “The Graph”: what separates the top teams from the bottom teams in the Big 10 (46:18) Collin's Conference Record Predictions & Final Thoughts

Ready for a better commission tracking solution? Don't miss our episode featuring suggestions on tracking your hard-earned commissions.   Register for your FREE RitterIM.com Account   Contact the Agent Survival Guide Podcast! Email us ASGPodcast@Ritterim.com or call 1-717-562-7211 and leave a voicemail.   Resources: AHIP Test Tips and Tricks for Medicare Certification Building the Foundation for Success ft. Roy Snarr Four Reasons Why Ritter Should Be Your FMO Insurance Agency How to Avoid Using Elderspeak Operating From a People-First Mentality ft. Scott Zimmerman The Best Appointment Schedulers for Insurance Agents The Difference Between Medicare & Medicaid: What That Means for Insurance Agents The Ultimate Agent Resource List Pt. 3: Staying Organized What Are Agents Responsible for Under HIPAA?   References: “Agencybloc Commissions Management.” Agencybloc.Com, AgencyBloc, www.agencybloc.com/commissions-management/. Accessed 10 June 2025. “AgencyComp Commissions Tracker.” Agencycomp.Com, AgencyComp, agencycomp.com/. Accessed 10 June 2025. “Commissionly Sales Commission Software.” Commissionly.Io, Commissionly, www.commissionly.io/. Accessed 10 June 2025. “Excel Help & Learning.” Support.Microsoft.Com, Microsoft Support, support.microsoft.com/en-us/excel. Accessed 23 June 2025. “Excel Quick and Simple Charts Tutorial.” YouTube.Com, YouTube, www.youtube.com/watch?v=TfkNkrKMF5c. Accessed 23 June 2025. “How to Create a Chart in Microsoft Excel: Step-by-Step Guide.” wikiHow.Com, wikiHow, 31 Dec. 2024, www.wikihow.com/Create-a-Graph-in-Excel. “How to Create Excel Charts and Graphs.” Blog.Hubspot.Com, HubSpot Blog, blog.hubspot.com/marketing/how-to-build-excel-graph. Accessed 23 June 2025. “Medicare Marketing Guidelines.” CMS.Gov, Centers for Medicare & Medicaid Services, www.cms.gov/medicare/health-drug-plans/managed-care-marketing/medicare-guidelines. Accessed 23 June 2025. “Medicare PRO CRM.” Medicareproapp.Com, Medicare PRO, www.medicareproapp.com/. Accessed 10 June 2025. “Radius Agency Management System.” Radiusbob.Com, Radius, www.radiusbob.com/. Accessed 10 June 2025.   Follow Us on Social! Ritter on Facebook, https://www.facebook.com/RitterIM Instagram, https://www.instagram.com/ritter.insurance.marketing/ LinkedIn, https://www.linkedin.com/company/ritter-insurance-marketing TikTok, https://www.tiktok.com/@ritterim X, https://x.com/RitterIM and YouTube, https://www.youtube.com/user/RitterInsurance       Sarah on LinkedIn, https://www.linkedin.com/in/sjrueppel/ Instagram, https://www.instagram.com/thesarahjrueppel/ and Threads, https://www.threads.net/@thesarahjrueppel    Tina on LinkedIn, https://www.linkedin.com/in/tina-lamoreux-6384b7199/    Not affiliated with or endorsed by Medicare or any government agency. 

Alex Wiltschko, CEO and Founder of Osmo, returns to Brave New World on Episode 97 to discuss the developments in the field of mapping smell and what the future holds for olfactory AI. Useful Resources: 1. Alex Wiltschko, Founder and CEO of OSMO. 2. Brave New World Episode 81: Alex Wiltschko On The Sense Of Smell. 3. StockX. 4. Gas Chromatography - Mass Spectrometry5. Brave New World Episode 90: Sandeep Robert Datta on Smell and The Brain6. Brave New World Episode 62: Dmitry Rinberg on the Mysteries of Smell7. The Science of Scent, Luca Turin's TED Talk. 8. Graph Neural Network9. Convolutional Networks on Graphs for Learning Molecular Fingerprints; paper by Dougal Maclaurin, David Duvenaud, Alán Aspuru-Guzik10. OSMO AI passes human performance in Odour Turing Test. 11. Giving Computers a Sense of Smell, Alex Wiltschko in conversation with Patrick O'Shaughnessy 12. A principal odour map unifies diverse tasks in olfactory perception, OSMO's paper in Science. 13. First Success, teleporting the scene of a Plum. 14. Generation, OSMO's fragrance company. 15. Industry report by Global Market Insights on the Global Fragrance Market. 16. Glossine, Wizerine and Fractalin; proprietary AI-generated scent molecules 17. An Anthropologist On Mars: Seven Paradoxical Tales - Oliver Sacks   Check out Vasant Dhar's newsletter on Substack. The subscription is free! Pre-order Thinking With Machines: The Brave New World of AI - Vasant Dhar

our 15 year anniversary celebration, continuing on with a meticulously crafted stellar set from graph. dedicated to tomas. ponty mython - so what did you expect? (bal5000 back to 96 remix) [wewillalwaysbealovesong] jonny miller, kid fonque - afrika is the future! (shur-i-kan slinky mix) [stay true sounds] kllo - walls to build (mall grab remix) [ghostly international] octo octa - loops for healing [technicolour] alton miller - all things good [waella's choice] halo - glory feat. maiya (atjazz galaxy aart instrumental remix) [foliage records] tuxedo - integrate [plastic city suburbia] steve kelley - green daze [sublease music] vincenzo - assassin [sublease music] danny howells - mama loves you [bedrock records] reverse commuter - icarus (doc martin's subwarp mix) [hallucienda] robag whrume - cdv feat. bruno pronsato (remix-edit) [kompakt extra] matthias schaffhäuser, jorge socarras - radical freedom (ryan crosson remix) [hallucienda] laurent garnier, chambray - feelin' good (radio slave remix) [rekids] jim rivers - calycanthus (bushwacka! remix) [poker flat recordings] indoor man - rhythm changes [hallucienda] gab rhome, mark alow - microbioma (esteble remix) [bar25 music] coyu - 1+1 feat. thomas gandey [suara] joe hertz, jasper tygner - equals [shall not fade] paul white - set the tone feat. denai moore [r&s records]

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We wallow in the mud with some of the worst gurus of the gurusphere. Join us and lament the guru paradise that we all live in.Supplementary Material 3200:00 Introduction and Banter01:22 Old Squeaky and Daily Life03:53 Matthew McConaughey Episode Recap08:13 The Liver King Controversy16:14 Nazi Propaganda on YouTube21:11 Historical Revisionism: Darryl Cooper and David Irving27:46 Huberman's very public hardcore research32:25 Huberman sells out34:32 Chris Langan: The Bottom (Racist) Tier of Gurudom36:03 Langan on Weinstein42:21 Langan's grievances against Elon Musk and Jordan Peterson49:47 Matt Goodwin visits London55:59 Gary Stevenson hates Graphs and Data01:10:33 Gary compares himself to Russell Brand01:15:12 THEY won't let you talk about the economy01:17:22 Matt invokes Goodwin's Law01:25:08 The All In Podcast Besties launch a Tequila Brand01:28:32 Matt's Modest Utopian Plan01:31:12 Lab Leak Discourse continues at the Guardian01:35:55 Matt attacks the Mainstream Media01:39:11 Dugin's Forum of the Future 2050 and the Guru Horseshoe01:45:57 Extended OutroThe full episode is available for Patreon subscribers (1hr 50 mins).Join us at: https://www.patreon.com/DecodingTheGurusSources2Lazy2Try: The Liver King Gets Arrested For Trying To Hunt Down Joe RoganRob Mohr tweets out an iconic photo of HubermanScott Carney: Documenting Andrew Huberman's LiesChris Langan's thoughts on Eric WeinsteinChris Langan's thoughts on Elon Musk & Jordan PetersonMatt Goodwin's visit to LondonDespolarisa: #89 GARY STEVENSON - Economics, Trading, Inequality, Wealth, Populism, Tax, DepolarizeThe All-In Podcast guys being bastardsTsargard Institute: The Forum for the Future 2050

Born in the 18th century when Leonhard Euler solved the puzzle of the seven bridges of Königsberg, graph theory has become a foundational tool in mathematics. It studies relationships through nodes (vertices) and the links (edges) that connect them, transforming the complexity of systems — from friendship networks to airline routes — into elegant abstractions that reveal underlying structure and interaction. Maria Chudnovsky from Princeton University is a leading mathematician in the field. In this episode of The Joy of Why, Chudnovsky talks with co-host Janna Levin about how she got into graph theory, solved the decades-old perfect graph problem, and used it to plan her wedding seating chart. Chudnovsky also reflects on her appearance in commercials as a “superstar mathematician,” and how her background primed her for a discipline that transcends language, culture and time.

The Unseen World supercut. How big is the universe? What's at the edge? Why does light have a speed limit? Discover our full back catalogue of hundreds of videos on YouTube: ⁠https://www.youtube.com/@astrumspace⁠For early access videos, bonus content, and to support the channel, join us on Patreon: ⁠https://astrumspace.info/4ayJJuZ⁠

AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughly 30 minutes — and seven months before that, 15 minutes.These are substantial, multi-step tasks requiring sustained focus: building web applications, conducting machine learning research, or solving complex programming challenges.Today's guest, Beth Barnes, is CEO of METR (Model Evaluation & Threat Research) — the leading organisation measuring these capabilities.These highlights are from episode #217 of The 80,000 Hours Podcast: Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress, and include:Can we see AI scheming in the chain of thought? (00:00:34)We have to test model honesty even before they're used inside AI companies (00:05:48)It's essential to thoroughly test relevant real-world tasks (00:10:13)Recursively self-improving AI might even be here in two years — which is alarming (00:16:09)Do we need external auditors doing AI safety tests, not just the companies themselves? (00:21:55)A case against safety-focused people working at frontier AI companies (00:29:30)Open-weighting models is often good, and Beth has changed her attitude about it (00:34:57)These aren't necessarily the most important or even most entertaining parts of the interview — so if you enjoy this, we strongly recommend checking out the full episode!And if you're finding these highlights episodes valuable, please let us know by emailing podcast@80000hours.org.Highlights put together by Ben Cordell, Milo McGuire, and Dominic Armstrong

The era of making AI smarter just by making it bigger is ending. But that doesn't mean progress is slowing down — far from it. AI models continue to get much more powerful, just using very different methods, and those underlying technical changes force a big rethink of what coming years will look like.Toby Ord — Oxford philosopher and bestselling author of The Precipice — has been tracking these shifts and mapping out the implications both for governments and our lives.Links to learn more, video, highlights, and full transcript: https://80k.info/to25As he explains, until recently anyone can access the best AI in the world “for less than the price of a can of Coke.” But unfortunately, that's over.What changed? AI companies first made models smarter by throwing a million times as much computing power at them during training, to make them better at predicting the next word. But with high quality data drying up, that approach petered out in 2024.So they pivoted to something radically different: instead of training smarter models, they're giving existing models dramatically more time to think — leading to the rise in “reasoning models” that are at the frontier today.The results are impressive but this extra computing time comes at a cost: OpenAI's o3 reasoning model achieved stunning results on a famous AI test by writing an Encyclopedia Britannica's worth of reasoning to solve individual problems at a cost of over $1,000 per question.This isn't just technical trivia: if this improvement method sticks, it will change much about how the AI revolution plays out, starting with the fact that we can expect the rich and powerful to get access to the best AI models well before the rest of us.Toby and host Rob discuss the implications of all that, plus the return of reinforcement learning (and resulting increase in deception), and Toby's commitment to clarifying the misleading graphs coming out of AI companies — to separate the snake oil and fads from the reality of what's likely a "transformative moment in human history."Recorded on May 23, 2025.Chapters:Cold open (00:00:00)Toby Ord is back — for a 4th time! (00:01:20)Everything has changed (and changed again) since 2020 (00:01:37)Is x-risk up or down? (00:07:47)The new scaling era: compute at inference (00:09:12)Inference scaling means less concentration (00:31:21)Will rich people get access to AGI first? Will the rest of us even know? (00:35:11)The new regime makes 'compute governance' harder (00:41:08)How 'IDA' might let AI blast past human level — or not (00:50:14)Reinforcement learning brings back 'reward hacking' agents (01:04:56)Will we get warning shots? Will they even help? (01:14:41)The scaling paradox (01:22:09)Misleading charts from AI companies (01:30:55)Policy debates should dream much bigger (01:43:04)Scientific moratoriums have worked before (01:56:04)Might AI 'go rogue' early on? (02:13:16)Lamps are regulated much more than AI (02:20:55)Companies made a strategic error shooting down SB 1047 (02:29:57)Companies should build in emergency brakes for their AI (02:35:49)Toby's bottom lines (02:44:32)Tell us what you thought! https://forms.gle/enUSk8HXiCrqSA9J8Video editing: Simon MonsourAudio engineering: Ben Cordell, Milo McGuire, Simon Monsour, and Dominic ArmstrongMusic: Ben CordellCamera operator: Jeremy ChevillotteTranscriptions and web: Katy Moore

Explore God's purpose in trials: growing faith, not seeking shortcuts like wealth or false spiritual paths. Learn to surrender unmet desires and resist temptation. This message, rooted in James 1, guides you to find true freedom and fulfillment in Jesus alone, embracing His process for a life transformed.   Pastor: Jordan Hansen Series: James: Faith That Works (2) Title: Shortcuts Date: 2025.06.21+22   CHAPTERS: 00:00 - Teaser 00:34 - Series 01:04 - Sermon (1) 01:43 - Thunderbirds 02:11 - Sermon (2) 04:58 - Question 08:42 - Point 1a 16:52 - Crown of Life 17:36 - Point 1b 28:08 - Point 2 30:10 - Point 3a 32:51 - Graph 33:59 - Point 3b 38:42 - Big Idea 39:40 - Closing   SERVICE TIMES:

Episode: 2467 Graph Theory and the Königsberg Bridge Problem.  Today, the bridges of Königsberg.

AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughly 30 minutes — and seven months before that, 15 minutes. (See graph.)These are substantial, multi-step tasks requiring sustained focus: building web applications, conducting machine learning research, or solving complex programming challenges.Today's guest, Beth Barnes, is CEO of METR (Model Evaluation & Threat Research) — the leading organisation measuring these capabilities.Links to learn more, video, highlights, and full transcript: https://80k.info/bbBeth's team has been timing how long it takes skilled humans to complete projects of varying length, then seeing how AI models perform on the same work. The resulting paper “Measuring AI ability to complete long tasks” made waves by revealing that the planning horizon of AI models was doubling roughly every seven months. It's regarded by many as the most useful AI forecasting work in years.Beth has found models can already do “meaningful work” improving themselves, and she wouldn't be surprised if AI models were able to autonomously self-improve as little as two years from now — in fact, “It seems hard to rule out even shorter [timelines]. Is there 1% chance of this happening in six, nine months? Yeah, that seems pretty plausible.”Beth adds:The sense I really want to dispel is, “But the experts must be on top of this. The experts would be telling us if it really was time to freak out.” The experts are not on top of this. Inasmuch as there are experts, they are saying that this is a concerning risk. … And to the extent that I am an expert, I am an expert telling you you should freak out.Chapters:Cold open (00:00:00)Who is Beth Barnes? (00:01:19)Can we see AI scheming in the chain of thought? (00:01:52)The chain of thought is essential for safety checking (00:08:58)Alignment faking in large language models (00:12:24)We have to test model honesty even before they're used inside AI companies (00:16:48)We have to test models when unruly and unconstrained (00:25:57)Each 7 months models can do tasks twice as long (00:30:40)METR's research finds AIs are solid at AI research already (00:49:33)AI may turn out to be strong at novel and creative research (00:55:53)When can we expect an algorithmic 'intelligence explosion'? (00:59:11)Recursively self-improving AI might even be here in two years — which is alarming (01:05:02)Could evaluations backfire by increasing AI hype and racing? (01:11:36)Governments first ignore new risks, but can overreact once they arrive (01:26:38)Do we need external auditors doing AI safety tests, not just the companies themselves? (01:35:10)A case against safety-focused people working at frontier AI companies (01:48:44)The new, more dire situation has forced changes to METR's strategy (02:02:29)AI companies are being locally reasonable, but globally reckless (02:10:31)Overrated: Interpretability research (02:15:11)Underrated: Developing more narrow AIs (02:17:01)Underrated: Helping humans judge confusing model outputs (02:23:36)Overrated: Major AI companies' contributions to safety research (02:25:52)Could we have a science of translating AI models' nonhuman language or neuralese? (02:29:24)Could we ban using AI to enhance AI, or is that just naive? (02:31:47)Open-weighting models is often good, and Beth has changed her attitude to it (02:37:52)What we can learn about AGI from the nuclear arms race (02:42:25)Infosec is so bad that no models are truly closed-weight models (02:57:24)AI is more like bioweapons because it undermines the leading power (03:02:02)What METR can do best that others can't (03:12:09)What METR isn't doing that other people have to step up and do (03:27:07)What research METR plans to do next (03:32:09)This episode was originally recorded on February 17, 2025.Video editing: Luke Monsour and Simon MonsourAudio engineering: Ben Cordell, Milo McGuire, Simon Monsour, and Dominic ArmstrongMusic: Ben CordellTranscriptions and web: Katy Moore

Well nerds, buckle up for this one. My buddy Ryan Burge has returned with his latest graphs about religion and the 2024 election, and let me tell you - it was zesty. We started talking about minor league baseball, chicken raising, and somehow ended up dissecting why 83% of white evangelicals voted for Trump (spoiler: it's not shocking). Ryan breaks down the real story of the 2024 election - how non-white evangelicals are now 50/50, why mainline Protestants aren't actually that liberal, and the fascinating shifts happening in the Catholic vote. We dive into the data that shows education and church attendance create some pretty stark political divides, and why Democrats might want to rethink their approach to people of faith. But this is us, so we also talked about LeBron's hair transplants, whether 100 men could take down a silverback gorilla, why online gambling is destroying America, and Ryan's ongoing campaign to get academics to eat at steakhouses instead of Sweet Green. Plus, Ryan explains why Mark Driscoll might be the godfather of the manosphere, and we debate whether Joe Scarborough and Mika have the worst work schedule in television. Oh, and we somehow got into a deep discussion about Mayor Pete's beard and why Democrats need to learn how to talk about their faith without sounding like they're apologizing for it. Because apparently that's where our brains go. Want the full conversation? This is just a taste of what we covered in over two hours of completely unhinged discussion. If you're a member of either Graphs About Religion (Ryan's substack) or Process This (mine), you get access to the entire unedited conversation, plus invitations to join us live for future streams where things get even more zesty - and yes, I'm using that word in the Whitehead sense, not the Gen Z sense.   Previous Visits from Ryan Burge Distrust & Denominations Trust, Religion, & a Functioning Democracy What it's like to close a church The Future of Christian Education & Ministry in Charts The Sky is Falling & the Charts are Popping! Graphs about Religion & Politics w/ Spicy Banter a Year in Religion (in Graphs) Evangelical Jews, Educated Church-Goers, & other bits of dizzying data 5 Religion Graphs w/ a side of Hot Takes Myths about Religion & Politics Ryan P. Burge is an assistant professor of political science at Eastern Illinois University. Author of numerous journal articles, he is the co-founder of and a frequent contributor to Religion in Public, a forum for scholars of religion and politics to make their work accessible to a general audience. Burge is a pastor in the American Baptist Church. Upcoming Online Class:⁠⁠⁠⁠ Rediscovering the Spirit: Hand-Raisers, Han, & the Holy Ghost⁠⁠⁠⁠ is an open-online course exploring the dynamic, often overlooked third person of the Trinity. Based on Grace Ji-Sun Kim's groundbreaking work on the Holy Spirit this class takes participants on a journey through biblical foundations, historical developments, diverse cultural perspectives, and practical applications of Spirit theology. ⁠⁠⁠⁠As always, this class is donation-based, including 0. To get class info and sign up, head over here. ⁠⁠⁠⁠ _____________________ ⁠⁠⁠⁠⁠⁠Hang with 40+ Scholars & Podcasts and 600 people at Theology Beer Camp 2025 (Oct. 16-18) in St. Paul, MN. ⁠⁠⁠⁠⁠⁠ This podcast is a ⁠⁠⁠⁠⁠⁠Homebrewed Christianity⁠⁠⁠⁠⁠⁠ production. Follow ⁠⁠⁠⁠⁠⁠the Homebrewed Christianity⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠Theology Nerd Throwdown⁠⁠⁠⁠⁠⁠, & ⁠⁠⁠⁠⁠⁠The Rise of Bonhoeffer⁠⁠⁠⁠⁠⁠ podcasts for more theological goodness for your earbuds. Join over 80,000 other people by joining our⁠⁠⁠⁠⁠⁠ Substack - Process This!⁠⁠⁠⁠⁠⁠ Get instant access to over 45 classes at ⁠⁠⁠⁠⁠⁠www.TheologyClass.com⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠Follow the podcast, drop a review⁠⁠⁠⁠⁠⁠, send ⁠⁠⁠⁠⁠⁠feedback/questions⁠⁠⁠⁠⁠⁠ or become a ⁠⁠⁠⁠⁠⁠member of the HBC Community⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

People immersed in chaos try to solve for what it all adds up to. Visit thisamericanlife.org/lifepartners to sign up for our premium subscription.Prologue: A scientist who is used to organizing data starts tracking scientific meetings that seem to exist only on paper—meetings that might decide the fate of years of research. The NIH website shows one reality; the empty conference rooms tell another story. She graphs the chaos. (9 minutes)Act One: American doctors returning from Gaza compare notes and start to see a pattern. (28 minutes)Act Two: A woman watches her partner get taken in handcuffs with no explanation. Days later, she spots him in the most unexpected place. The coordinates of her life suddenly don't make sense as she navigates the bewildering map of the US immigration system. (23 minutes)Transcripts are available at thisamericanlife.orgThis American Life privacy policy.Learn more about sponsor message choices.