Podcasts about graphs

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

The multiway graph shows every possible evolution of the universe.So, if we can compute every possible reality, does that mean that there's no single objective reality?Well, the causal graph, it turns out, collapses every possible reality into a single objective reality in a way that's so unexpected that you'll be left wondering: how did that just happen?—References:The hypergraph   video ⋅ podcast ⋅ articleThe multiway graph   video ⋅ podcast ⋅ articleThe causal graph   video ⋅ podcast ⋅ articleCausal invariance   video ⋅ podcast ⋅ articleDifferent observers might follow different paths through the multiwaygraph, but they see the same causal graph—The Last Theory is hosted by Mark Jeffery founder of Open Web MindI release The Last Theory as a video too! Watch here.The full article is here.Kootenay Village Ventures Inc.

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.

The Neo4j + Snowflake integration is now generally available — and it's a big moment for the graph community. At Snowflake Summit 2025, I caught up with Matt Connon to talk about what this milestone really means for enterprise customers, and why now is the perfect time to bring graph analytics directly to where the data already lives.We explored: • The rise of graph as a critical piece of the modern data stack • How this integration simplifies adoption — no data movement, no extra overhead • What customer demand looks like now that the solution is live (spoiler: it's real and it's growing) • Why industries like financial services, cybersecurity, and healthcare are leaning into graph use cases faster than ever • And what's next in the Neo4j–Snowflake journey, including deeper cloud-native accessibility and more AI-ready innovationsMatt shared clear, customer-first insights that make it easy to understand where this is going — and why graph is no longer optional for data-driven businesses.#data #ai #graphanalytics #snowflakesummit #neo4j #analytics #theravitshow

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.

What happens when you bring graph analytics directly to your Snowflake data — without moving a thing? At Snowflake Summit 2025, I sat down with Anurag Tandon from Neo4j on The Ravit Show to talk about a major milestone: Graph Analytics for Snowflake is now generally available. This is a significant shift — not just technically, but strategically — for how enterprises unlock value from deeply connected data.We explored:-- What this launch means for customers already using Snowflake as their single source of truth-- How Neo4j's native integration removes the need for data movement or duplication-- The kinds of use cases this now makes possible — from customer 360 to fraud detection and supply chain optimization-- And how graph analytics is evolving as data ecosystems grow more complex and interconnectedAnurag also shared his perspective on where this partnership is headed — and why Snowflake + Neo4j together are shaping what's next in intelligent analytics.If you're thinking about the next evolution of data insight — this one will give you a peek into what's coming.#data #ai #graphanalytics #snowflakesummit #neo4j #analytics #theravitshow

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

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

How a €1 B digital‑engineering firm uses generative AI and agent tech to reinvent retail supply chains and CX.18 000 engineers, €1 B revenue, 50+ patents—Nagarro's Global CTO Rahul Mahajan explains how generative AI, vector databases and knowledge graphs are reshaping demand planning and personalization at scale.⏱️ CHAPTERS00:00 Intro: product‑to‑service mind‑set 00:22 Meet Rahul Mahajan & Nagarro overview 01:17 Missed NRF meetings + digital engineering culture 02:35 Diversified industries & complex problem solving 03:35 Rahul's 50+ patents in retail AI 04:58 CPG use case: multi‑channel demand planning 06:49 SKU‑level AI forecasting & supply chain accuracy 07:32 “Humanizing personalization” patent explained 08:20 Ecosystem shift: partner products & services 09:29 Agent tech & zero‑downtime integration 10:16 From transactions to lifestyle services 12:08 Patenting novel data structures & AI models 13:19 Knowledge graphs + vectorized semantics 14:24 AI governance: tone, privacy, explainability 15:14 LLM interoperability (OpenAI, Anthropic, Gemini) 16:32 Why retailers must move before they're disrupted 17:13 Contact Rahul & closing

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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Once we expand to other star systems, we may begin a self-propagating expansion of human civilisation throughout the galaxy. However, there are existential risks potentially capable of destroying a galactic civilisation, like self-replicating machines, strange matter, and vacuum decay. Without an extremely widespread and effective governance system, the eventual creation of a galaxy-ending x-risk seems almost inevitable due to cumulative chances of initiation over time and across multiple independent actors. So galactic x-risks may severely limit the total potential value that human civilisation can attain in the long-term future. The requirements for a governance system to prevent galactic x-risks are outlined, and updates for space governance and big picture cause prioritisation are discussed. Introduction I recently came across a series of posts from nearly a decade ago, starting with a post by George Dvorsky in io9 called “12 Ways Humanity Could Destroy the Entire Solar System”. It's a [...] ---Outline:(01:00) Introduction(03:07) Existential risks to a Galactic Civilisation(03:58) Threats Limited to a One Planet Civilisation(04:33) Threats to a small Spacefaring Civilisation(07:02) Galactic Existential Risks(07:22) Self-replicating machines(09:27) Strange matter(10:36) Vacuum decay(11:42) Subatomic Particle Decay(12:32) Time travel(13:12) Fundamental Physics Alterations(13:57) Interactions with Other Universes(15:54) Societal Collapse or Loss of Value(16:25) Artificial Superintelligence(18:15) Conflict with alien intelligence(19:06) Unknowns(21:04) What is the probability that galactic x-risks I listed are actually possible?(22:03) What is the probability that an x-risk will occur?(22:07) What are the factors?(23:06) Cumulative Chances(24:49) If aliens exist, there is no long-term future(26:13) The Way Forward(31:34) Some key takeaways and hot takes to disagree with me onThe original text contained 76 footnotes which were omitted from this narration. --- First published: June 18th, 2025 Source: https://forum.effectivealtruism.org/posts/x7YXxDAwqAQJckdkr/galactic-x-risks-obstacles-to-accessing-the-cosmic-endowment --- 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.

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:

Send us a textSEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You can get your free copy of my 101 Quick SEO Tips at: https://seotips.edddawson.com/101-quick-seo-tipsTo get a personal no-obligation demo of how KeywordsPeopleUse could help you boost your SEO and get a 7 day FREE trial of our Standard Plan book a demo with me nowSee Edd's personal site at edddawson.comAsk me a question and get on the show Click here to record a questionFind Edd on Linkedin, Bluesky & TwitterFind KeywordsPeopleUse on Twitter @kwds_ppl_use"Werq" Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/

This is a link post. Thank you to Arepo and Eli Lifland for looking over this article for errors. I am sorry that this article is so long. Every time I thought I was done with it I ran into more issues with the model, and I wanted to be as thorough as I could. I'm not going to blame anyone for skimming parts of this article. Note that the majority of this article was written before Eli's updated model was released (the site was updated june 8th). His new model improves on some of my objections, but the majority still stand. Introduction: AI 2027 is an article written by the “AI futures team”. The primary piece is a short story penned by Scott Alexander, depicting a month by month scenario of a near-future where AI becomes superintelligent in 2027,proceeding to automate the entire economy in only [...] ---Outline:(00:45) Introduction:(05:27) Part 1: Time horizons extension model(05:33) Overview of their forecast(10:23) The exponential curve(13:25) The superexponential curve(20:20) Conceptual reasons:(28:38) Intermediate speedups(36:00) Have AI 2027 been sending out a false graph?(41:50) Some skepticism about projection(46:13) Part 2: Benchmarks and gaps and beyond(46:19) The benchmark part of benchmark and gaps:(52:53) The time horizon part of the model(58:02) The gap model(01:00:58) What about Eli's recent update?(01:05:19) Six stories that fit the data(01:10:46) ConclusionThe original text contained 11 footnotes which were omitted from this narration. --- First published: June 19th, 2025 Source: https://forum.effectivealtruism.org/posts/KgejNns3ojrvCfFbi/a-deep-critique-of-ai-2027-s-bad-timeline-models Linkpost URL:https://titotal.substack.com/p/a-deep-critique-of-ai-2027s-bad-timeline --- 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.

Formosa: Fulcrum of the Future?An invasion of Taiwan is uncomfortably likely and potentially catastrophic. We should research better ways to avoid it. TLDR: I forecast that an invasion of Taiwan increases all the anthropogenic risks by ~1.5% (percentage points) of a catastrophe killing 10% or more of the population by 2100 (nuclear risk by 0.9%, AI + Biorisk by 0.6%). This would imply it constitutes a sizable share of the total catastrophic risk burden expected over the rest of this century by skilled and knowledgeable forecasters (8% of the total risk of 20% according to domain experts and 17% of the total risk of 9% according to superforecasters). I think this means that we should research ways to cost-effectively decrease the likelihood that China invades Taiwan. This could mean exploring the prospect of advocating that Taiwan increase its deterrence by investing in cheap but lethal weapons platforms [...] ---Outline:(00:13) Formosa: Fulcrum of the Future?(02:04) Part 0: Background(03:44) Part 1: Invasion -- uncomfortably possible.(08:33) Part 2: Why an invasion would be bad(10:27) 2.1 War and nuclear war(19:20) 2.2. The end of cooperation: AI and Bio-risk(22:44) 2.3 Appeasement or capitulation and the end of the liberal-led order: Value risk(26:04) Part 3: How to prevent a war(29:39) 3.1. Diplomacy: speaking softly(31:21) 3.2. Deterrence: carrying a big stick(34:16) Toy model of deterrence(37:58) Toy cost-effectiveness of deterrence(41:13) How to cost-effectively increase deterrence(43:30) Risks of a deterrence strategy(44:12) 3.3. What can be done?(44:42) How tractable is it to increase deterrence?(45:43) A theory of change for philanthropy increasing Taiwan's military deterrence(45:56) en-US-AvaMultilingualNeural__ Flow chart showing policy influence between think tanks and Taiwan security outcomes.(48:55) 4. Conclusion and further work(50:53) With more time(52:00) Bonus thoughts(52:09) 1. Reminder: a catastrophe killing 10% or more of humanity is pretty unprecedented(53:06) 2. Where's the Effective Altruist think tank for preventing global conflict?(54:11) 3. Does forecasting risks based on scenarios change our view on the likelihood of catastrophe?The original text contained 16 footnotes which were omitted from this narration. --- First published: June 15th, 2025 Source: https://forum.effectivealtruism.org/posts/qvzcmzPcR5mDEhqkz/an-invasion-of-taiwan-is-uncomfortably-likely-potentially --- 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.

In this podcast, Nikolaos Vasiloglou from @RelationalAI team discusses how knowledge graph based applications are leveraging Generative AI technologies and how Graph RAG techniques can be used to enhance data analytics and insights. Read a transcript of this interview: https://bit.ly/43IYWGN Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Boston (June 9-10, 2025) Actionable insights on today's critical dev priorities. devsummit.infoq.com/conference/boston2025 InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - Twitter: twitter.com/InfoQ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

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

Send us a text*Causal Inference From Human Behavior, Reproducibility Crisis & The Power of Causal Graphs*Is Jonathan Heidt right that social media causes the mental health crisis in young people?If so, how can we be sure?Can other disciplines learn something from the reproducibility crisis in Psychology, and what is multiverse analysis?Join us for a conversation on causal inference from human behavior, the reproducibility crisis in sciences, and the power of causal graphs!------------------------------------------------------------------------------------------------------Audio version available on YouTube: https://youtu.be/YQetmI-y5gMRecorded on May 16, 2025, in Leipzig, Germany.------------------------------------------------------------------------------------------------------*About The Guest*Julia Rohrer, PhD, is a researcher and personality psychologist at the University of Leipzig. She's interested in the effects of birth order, age patterns in personality, human well-being, and causal inference. Her works have been published in top journals, including Nature Human Behavior. She has been an active advocate for increased research transparency, and she continues this mission as a senior editor of Psychological Science. Julia frequently gives talks about good practices in science and causal inference. You can read Julia's blog at https://www.the100.ci/*Links*Papers- Rohrer, J. (2024) "Causal inference for psychologists who think that causal inference is not for them" (https://compass.onlinelibrary.wiley.com/doi/10.1111/spc3.12948)- Bailey, D., ..., Rohrer, J. et al (2024) "Causal inference on human behaviour" (https://www.nature.com/articles/s41562-024-01939-z.epdf)- Rohrer, J. et al (2024) "The Effects of Satisfaction with Different Domains of Life on GenInspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifySupport the showCausal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io The Causal Book: https://amzn.to/3QhsRz4

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

How to build artificial intelligence systems that understand cause and effect, moving beyond simple correlations? As we all know, correlation is not causation. "Spurious correlations" can show, for example, how rising ice cream sales might statistically link to more drownings, not because one causes the other, but due to an unobserved common cause like warm weather. Our guest, Utkarshani Jaimini, a researcher from the University of South Carolina's Artificial Intelligence Institute, tries to tackle this problem by using knowledge graphs that incorporate domain expertise.  Knowledge graphs (structured representations of information) are combined with neural networks in the field of neurosymbolic AI to represent and reason about complex relationships. This involves creating causal ontologies, incorporating the "weight" or strength of causal relationships and hyperrelations. This field has many practical applications such as for AI explainability, healthcare and autonomous driving. Follow our guest Utkarshani Jaimini's Webpage Linkedin Papers in focus CausalLP: Learning causal relations with weighted knowledge graph link prediction, 2024 HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph, 2024  

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

In this special edition of the Washington AI Network Podcast, recorded live at NVIDIA 2025 GTC conference, host Tammy Haddad takes listeners inside the future of AI innovation with startups. NVIDIA's Startup Guru, Howard Wright, shares how the Inception program supports over 27,000 startups worldwide, unlocking capital, customers, and compute to fuel AI breakthroughs. Fay Arjomandi, CEO of mimik, introduces her edge-first, privacy-focused approach to agent-based AI systems. ArangoDB's Corey Sommers explains why graph databases are the foundation of intelligent, responsive generative AI platforms. And nTop's Alec Guay and Todd McDevitt demonstrate how their GPU-powered design tools are slashing engineering cycles across aerospace, energy, and manufacturing. From defense to design, this episode showcases the real-world power of AI startups—and how the NVIDIA ecosystem helps them scale.

On this week's episode, Kyle recaps his playoff weekend in Indianapolis — from attending Games 3 and 4 of Pacers/Cavs to exploring a massive 200-table card show. He shares game-day impressions, autograph stories, and some key card pickups along the way.

Send us a textGet the vidIQ plugin for FREE: https://vidiq.ink/3yvoc7rJoin Discord: https://www.vidiq.com/discordWant a 1 on 1 coach? https://vidiq.ink/theboost1on1Check out the video version here: https://youtu.be/0HPucaCMwrQAudience engagement metrics on YouTube aren't always what they seem, and retention graphs can be misleading if viewed in isolation. We explore why "good" retention varies drastically based on content length, traffic sources, and viewer behavior across different platforms.• TikTok has reportedly surpassed Twitch to become the second most streamed platform after YouTube• Retention graphs look different depending on video length, with shorts typically exceeding 100% while long-form content rarely does• High-view videos often have lower retention percentages than creators expect• Search traffic typically has shorter view duration than browse or suggested traffic• Breaking down retention by traffic source and subscriber status reveals more useful insights than aggregate data• YouTube doesn't currently track "hover behavior" when viewers preview but don't click• Platform differences significantly impact engagement behaviors (TV vs. mobile vs. desktop)• Mr. Beast has set unrealistic retention expectations for many creators• Viewer disclaimers and overexplaining opinions have become increasingly common in contentIf you enjoyed this episode, please leave us a five-star review and join us next time when we'll be sharing more about ourselves as creators.

Are you looking for some projects where you can practice your Python skills? Would you like to experiment with building a generative AI app or an automated knowledge graph sentiment analysis tool? This week on the show, we speak with Raymond Camden about his journey into Python, his work in developer relations, and the Python projects featured on his blog.

How do you uncover misinformation and financial fraud hidden in plain sight across thousands of digital platforms during a global election cycle? In this episode, I spoke with Jim Webber, Chief Scientist at Neo4j, to explore how graph database technology is being used to expose coordinated disinformation campaigns, empower AI systems, and help enterprises manage the complexity of modern data. At the heart of our conversation is the story of the ElectionGraph Project, where Syracuse University used Neo4j's graph technology to investigate political ad spend on Meta platforms. What they discovered was not just political messaging, but sophisticated scams disguised as legitimate campaigns. These efforts, targeting civically engaged users, used merchandise giveaways as a front to harvest credit card details and enroll victims in recurring billing traps. Traditional analytics would have struggled to trace these relationships, but graph databases allowed researchers to map and understand the deeper connections between thousands of entities. We also unpack how graph technology goes far beyond fraud detection. Jim explains why graph databases are now foundational for businesses building AI systems, particularly those using Retrieval-Augmented Generation (RAG) to reduce hallucinations and improve decision making. Whether it's helping enterprises respond to customer needs or enabling AI agents to take action in real time, graphs provide the structure and context needed for reliable outcomes. Jim also shares the backstory behind Klarna's data transformation, where the company embraced knowledge graphs at the core of its operations and replaced major systems, including parts of Salesforce. It's a striking example of what becomes possible when a business commits to connected data as a strategic asset. From misinformation to intelligent automation, this episode dives into the real-world value of graph technology in 2025. Are you thinking critically about how your data infrastructure supports your AI ambitions?

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.

The host of CNN's "Searching for Spain" shares why Americans should try to live life like the Spaniards do. A rare record collector reunites a woman with a Voice-o-Graph she recorded 70 years ago. How this record-setting rodent is saving lives with his sense of smell. From deception to acceptance, a female magician's decades-long journey into the world's most prestigious magic club. Plus, scientists may have found the first signs of life on a planet outside our solar system. Learn more about your ad choices. Visit podcastchoices.com/adchoices