Podcasts about graphs

Warner Bros. Discovery is for sale, but most prospective buyers only want pieces of it. Tall subs, max output, lots of graphs, and more! The post AV Rant #990: Interpreting Graphs appeared first on AV Rant.

Ben Criddle talks BYU sports every weekday from 2 to 6 pm.Today's Co-Hosts: Ben Criddle (@criddlebenjamin)Subscribe to the Cougar Sports with Ben Criddle podcast:Apple Podcasts: https://itunes.apple.com/us/podcast/cougar-sports-with-ben-criddle/id99676

Summary As part of our ongoing work to study how to best frame EA, we experimentally tested different phrases and sentences that CEA were considering using on effectivealtruism.org. Doing Good Better taglines We observed a consistent pattern where taglines that included the phrase ‘do[ing] good better' received less support from respondents and inspired less interest in learning about EA. We replicated these results in a second experiment, where we confirmed that taglines referring to “do[ing] good better” performed less well than those referring to “do[ing] the most good”. Nouns and sentences Nouns: The effect of using different nouns to refer to EA was small, but referring to EA as a ‘philosophy' or ‘movement' inspired the most curiosity compared to options including ‘project' and ‘research field'. Sentences: “Find the most effective ways to do good with your time, money, and career” and “Effective altruism asks the question of how we [...] ---Outline:(00:12) Summary(01:23) Method(02:18) Taglines (Study 1)(03:40) Doing Good Better replication (Study 2)(05:23) Sentences (Study 1)(06:45) Nouns (Study 1)(07:41) Effectiveness focus(07:55) Conclusion(08:56) Acknowledgments --- First published: October 27th, 2025 Source: https://forum.effectivealtruism.org/posts/Y6zMpdwkkAQ8rF56w/framing-ea-doing-good-better-did-worse --- 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 episode we are discussing the groundbreaking partnership between SAP Business Data Cloud and SAP Databricks. We discuss how SAP BTP is driving AI-first enterprise transformation through seamless SAP Datasphere integration, zero-copy data sharing, and advanced AI/ML workflows. Also, hear how Business Data Fabric and SAP Business AI are enabling future-ready enterprise IT, making it easier than ever to turn enterprise data into real business value. From hands-on use cases like cash flow forecasting, margin analysis, and attrition analysis to practical tips for engineers and data scientists, you'll get a front-row seat to digital transformation outcomes that matter.

In this episode we are discussing the groundbreaking partnership between SAP Business Data Cloud and SAP Databricks. We discuss how SAP BTP is driving AI-first enterprise transformation through seamless SAP Datasphere integration, zero-copy data sharing, and advanced AI/ML workflows. Also, how Business Data Fabric and SAP Business AI are enabling future-ready enterprise IT, making it easier than ever to turn enterprise data into real business value. From hands-on use cases like cash flow forecasting, margin analysis, and attrition analysis to practical tips for engineers and data scientists, you'll get a front-row seat to digital transformation outcomes that matter.

Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community. In this flashpod, Neha Bajwa, Vice President of Product Marketing at Neo4j, joins Humanitarian AI Today producer Brent Phillips to discuss Neo4j's major plans to support agentic AI systems that will directly benefit nonprofits and humanitarian organizations. Neo4j is the world's leading graph intelligence platform for AI systems, and the company's two new tools, Neo4j Aura Agent and the Model Context Protocol Server for Neo4j, will address critical development obstacles and help organizations rapidly build, test, and deploy AI agents. They also discuss Neo4j's Graphs for Good program and Neo4j's upcoming “NODES” developer conference, which is the biggest graph community gathering dedicated to applications, data intelligence, knowledge graphs, and AI. Substack notes: https://humanitarianaitoday.substack.com/p/neha-bajwa-from-neo4j-unveils-new

Scott and Jenny name and define the blood sugar “shapes” seen on CGM graphs—bell curves, spikes, plateaus, roller coasters—to create a shared language for understanding glucose patterns. Free Juicebox Community (non Facebook) Type 1 Diabetes Pro Tips - THE PODCAST Eversense CGM Medtronic Diabetes Tandem Mobi ** twiist AID System Drink AG1.com/Juicebox Use code JUICEBOX to save 40% at Cozy Earth  CONTOUR NextGen smart meter and CONTOUR DIABETES app Dexcom G7 Go tubeless with Omnipod 5 or Omnipod DASH * Get your supplies from US MED  or call 888-721-1514 Touched By Type 1 Take the T1DExchange survey Apple Podcasts> Subscribe to the podcast today! The podcast is available on Spotify, Google Play, iHeartRadio, Radio Public, Amazon Music and all Android devices The Juicebox Podcast is a free show, but if you'd like to support the podcast directly, you can make a gift here or buy me a coffee. Thank you! *The Pod has an IP28 rating for up to 25 feet for 60 minutes. The Omnipod 5 Controller is not waterproof.  ** t:slim X2 or Tandem Mobi w/ Control-IQ+ technology (7.9 or newer). RX ONLY. Indicated for patients with type 1 diabetes, 2 years and older. BOXED WARNING:Control-IQ+ technology should not be used by people under age 2, or who use less than 5 units of insulin/day, or who weigh less than 20 lbs. Safety info: tandemdiabetes.com/safetyinfo Disclaimer - Nothing you hear on the Juicebox Podcast or read on Arden's Day is intended as medical advice. You should always consult a physician before making changes to your health plan.  If the podcast has helped you to live better with type 1 please tell someone else how to find it!  

With his remarkable fantasy series, DIE, returning, Kieron Gillen checks in to talk about the newly titled, DIE: LOADED.But that's not all: Kieron also digs in on THE POWER FANTASY (39:59) with the third arc having just begun.DIE: LOADED #1 Final Order Cutoff (FOC): October 20DIE: LOADED #1 On Shelves: November 12THE POWER FANTASY Vol. #1 & 2: In Stores Note

Send us a textMost brands still try to “tell” Google who they are. We show how Google actually decides: by stitching together a ledger of facts from your site, LinkedIn, Wikipedia, news articles, and structured data—then trusting only what aligns. This is the Knowledge Graph at work, and it's quietly steering whether you earn a knowledge panel, sitelinks, and richer visibility across search.We break down the four streams feeding the graph—public web pages, licensed datasets, human‑edited knowledge bases like Wikidata, and direct owner signals via schema.org—and explain how each contributes to a confidence score for your entity. If your about page says Jane Doe is CEO but LinkedIn shows John Smith, the score drops and your brand becomes ambiguous. If your website, LinkedIn, reputable press, and Wikidata all agree, trust rises and your facts become “truth” in search.From there, we get specific about what you can control. Use schema.org to describe your organisation, people, products, and identifiers in clear, machine‑readable terms. Link out with sameAs to authoritative profiles so Google can triangulate identity. Audit your knowledge panel as a live diagnostic: check logos, dates, roles, and categories, and chase down any mismatch to the original source. Treat digital PR and reputation management as part of technical SEO—because today they are.By the end, you'll have a practical checklist for entity hygiene that helps you earn and keep a clean knowledge panel, avoid costly confusion, and unlock higher‑trust features across the results page. If this helped clarify how entities power modern SEO, subscribe, share with a colleague, and leave a quick review with one takeaway you'll act on next.SEO 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/

Episode Description: Max and Molly suspect that Mr. Avogadro's student book club may be a front for Mole recruitment. Using Math to calculate reading goals, averages, and even a new “Suspicion Number” system inspired by mathematician Paul Erdős, they try to narrow down suspects. But when they overhear Mr. A and Mr. Z talking about “burrows” and “alternate history,” the mystery deepens. Math Concepts: Division with remainders; Multiplication to find daily/weekly totals;; Application of averages;Fractions/percentages; Graph theory-inspired reasoningHistory/Geography Concepts:  Misconceptions about animals (bats and moles' eyesight/echolocation); Introduction to mathematician Paul Erdős and the Erdős Number System; Literature reference: A Wrinkle in Time by Madeleine L'Engle

Here's a talk I gave at an EA university group organizers' retreat recently, which I've been strongly encouraged to share on the forum. I'd like to make it clear I don't recommend or endorse everything discussed in this talk (one example in particular which hopefully will be self-evident), but do think serious shifts in how we engage with ethics and EA would be quite beneficial for the world. Part 1: Taking ethics seriously To set context for this talk, I want to go through an Our World in Data style birds-eye view of how things are trending across key issues often discussed in EA. This is to help get better intuitions for questions like “How well will the future go by default?” and “Is the world on track to eventually solve the most pressing problems?” - which can inform high-level strategy questions like “Should we generally be doing more [...] ---Outline:(00:32) Part 1: Taking ethics seriously(04:26) Incentive shifts and moral progress(05:07) What is incentivized by society?(07:08) Heroic Responsibility(11:30) Excerpts from Strangers drowning(14:37) Opening our eyes to what is unbearable(18:07) Increasing effectiveness vs. increasing altruism(20:20) Cognitive dissonance(21:27) Paragons of moral courage(23:15) The monk who set himself on fire to protect Buddhism, and didn't flinch an inch(27:46) What do I most deeply want to honour in this life?(29:43) Moral Courage and defending EA(31:55) Acknowledging opportunity cost and grappling with guilt(33:33) Part 2: Enjoying the process(33:38) Celebrating what's really beautiful - what our hearts care about(42:08) Enjoying effective altruism(44:43) Training our minds to cultivate the qualities we endorse(46:54) Meditation isnt a silver bullet(52:35) The timeless words of MLK--- First published: October 4th, 2025 Source: https://forum.effectivealtruism.org/posts/gWyvAQztk75xQvRxD/taking-ethics-seriously-and-enjoying-the-process --- 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.

Strengthen your security posture by moving groups and users from Active Directory to Microsoft Entra. This gives you seamless access for your teams, stronger authentication with MFA and passwordless options, and centralized visibility into risks across your environment. Simplify hybrid identity management by reducing dual overhead, prioritizing key groups, migrating users without disruption, and automating policies with Graph or PowerShell. Jeremy Chapman, Microsoft 365 Director, shows how to start minimizing your local directory and make Microsoft Entra your source of authority to protect access everywhere. ► QUICK LINKS: 00:00 - Minimize Active Directory with Microsoft Entra 00:34 - Build a Strong Identity Foundation 01:28 - Reduce Dual Management Overhead 02:06 - Begin with Groups 03:04 - Automate with Graph & Policy Controls 03:50 - Access packages 06:00 - Move user objects to be cloud-managed 07:03 - Automate using scripts or code 09:17 - Wrap up ► Link References Get started at https://aka.ms/CloudManagedIdentity Use SOA scenarios at https://aka.ms/usersoadocs Group SOA scenarios at https://aka.ms/groupsoadocs Guidance for IT Architects on benefits of SOA at https://aka.ms/SOAITArchitectsGuidance ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Network automation has a data problem. Traditional tools may hit limitations when managing complex infrastructure relationships. We explore how OpsMill’s InfraHub uses graph databases and temporal versioning to create what our guest calls “the knowledge graph of infrastructure” – enabling true version control at the database level while maintaining the flexibility to model anything from... Read more »

Tommy Olson doesn't know how Europe works

Tommy Olson doesn't know how Europe worksSee omnystudio.com/listener for privacy information.

Video Version About the Podcast In this episode of State of Readiness, host Joseph Paris speaks with Alan Michaels, founder of the Industry Knowledge Graph, a strategic planning tool built on Michael Porter's competitive strategy framework. The discussion traces Alan's multi-decade journey to develop a globally comprehensive, highly granular industry taxonomy and its transformation into a usable, dynamic digital platform. Alan recalls the pivotal moment in 1986 when, while working in IT at Manufacturers Hanover Bank, he was introduced to Porter's Competitive Advantage. The structured, recipe-like nature of Porter's methodology resonated deeply with him, prompting a career pivot toward corporate strategy. Over time, Alan held various strategic roles, including at IBM and in insurance, but ultimately dedicated himself full-time to his ambitious goal: to map the entire global economy by industry, using Porter's definitions of competitive structure and market forces. The result, launched in April 2024, is the Industry Knowledge Graph, a platform that classifies the global economy into over 24,000 distinct industries, based on competitive commonalities such as products, buyers, substitutes, and vendors. This granularity far exceeds traditional classifications like NAICS codes. For instance, while NAICS might group all jet aircraft in one industry, Alan's system separates fighter jets, commercial jets, and blimps into unique segments. Even within food, categories like potato chips, pretzels, and popcorn are treated as different industries based on buyer behavior and competitive factors. The platform supports top-down and bottom-up analysis. A user can examine which industries a company like PepsiCo operates in (156 in total), or conversely, explore a given industry like potato chips and see the top competitors, value chains, channels, and influencing trends. Users can also compare companies by overlapping and unique industry participation—offering a precise view ideal for M&A analysis, competitive benchmarking, strategic expansion, or private equity targeting. Alan emphasizes that his system empowers corporate planners, marketers, and strategists to cut research time dramatically. What previously took months—such as comparing competitors by line of business—can now be done in seconds. A standardized set of industry data fields, inspired by Porter's methodology, makes this possible. Each industry entry includes value chains, buyer segments, substitute threats, supplier dependencies, market trends, and more. To bring this vision to life digitally, Alan partnered with Semantic Arts, a leader in semantic technology and the data-centric revolution. Together, they formed Industry Knowledge Graph LLC, combining Alan's industry content with a modern knowledge graph platform. The system launched with an initial demo and subscription access, and plans are underway to expand its data, integrate public classification codes (e.g., NAICS, UN), and invite partnerships to enrich its content. Alan concludes by emphasizing that the Industry Knowledge Graph offers a strategic lens to view the economy—one grounded in Porter's logic, built with real-world granularity, and powerful enough to revolutionize strategic planning across industries. About Alan Michaels As the Director of Industry Research at Industry Knowledge Graph LLC, I am solely focused on enhancing our industry model of the global economy, which leverages the IBB model of the global economy (covering 25,000 industries) developed by Industry Building Blocks LLC. For the past 24 years, I have been building and maintaining the best available industry segmentation of the global economy by line of business, using Michael E. Porter's five forces industry analysis methodology. My business expertise is in corporate planning, business unit planning, industry analysis, new business development, and aligning and coordinating business and IT and other activities to make the whole greater than the sum of the parts. In 1994, I self-published (a Porter-inspired step-by-step corporate planning workbook) "Structured Strategic Planning" while teaching at Pace University Graduate School. In short, since reading Porter's book "Competitive Advantage" in 1986 I have been passionate about leveraging his five-forces industry framework to provide high-quality, granular, and comprehensive industry data to raise the level of strategic thinking. Executive Contact: Alan Michaels Title: Managing Director of Industry Research LinkedIn Profile: https://www.linkedin.com/in/alansmichaels/ Company: Industry Knowledge Graph Website: https://www.industrykg.com/ Company Type: Private Year Founded: 2021 Practice Areas: Industry Model of the Global Economy, Knowledge Graph Platform, Market Segmentation, Five Forces Industry Analysis, M&A Analysis, Industry Taxonomy, Industry Classification Systems, Industry Ecosystems, Michael Porter Frameworks, Semantics, Ontology, Linked Data, Industry Trends, Macroeconomics, Microeconomics, Industry Classification Systems, Corporate Strategy, Business Unit Strategy, Competitor Analysis, and Market Intelligence

As a developer, you're trained to think in rows and tables. But what if that's the exact reason you're missing the most powerful connections in your data? There's a fundamental "Graph Problem" hiding in plain sight in almost every application, and once you see it, you'll wonder how you ever missed it.In this episode, we reveal this "obvious" secret and show you how to leverage it to build smarter, more accurate, and context-aware AI.In this episode/video, we cover:​The "Graph Problem" explained: Why you have more graph problems than you think.​Why basic RAG isn't enough, and how Graph RAG provides the context your AI is missing.​How to uncover the hidden relationships in your unstructured data and build a knowledge graph.​Real-world examples (from Amazon to your own notes) that reveal the graph structure all around you.​The #1 reason knowledge graph projects fail and how to avoid it.This conversation is for any developer who feels their projects are hitting a wall. If you're ready for the "aha!" moment that will change how you look at data forever, this episode is for you.Timestamps:00:00:00 - Intro00:00:39 - From Unstructured Data to a Knowledge Graph00:02:00 - The Experiment: What Happens When You Break a Knowledge Graph?00:05:41 - What Are Ontologies in the Graph World?00:07:35 - The Graph Problem You Didn't Know You Had00:09:09 - Why Graphs Are So Good for GenAI Context00:10:10 - The Best Way to Create Vector Embeddings for Graphs00:12:50 - Using Graphs to Solve Extreme Corporate Complexity00:17:14 - Real-World Problems That Are Actually Graph Problems00:19:31 - How to Find The Right Expert in Your Company00:23:33 - The Rise of Federated RAG Agents00:25:31 - The #1 Reason Knowledge Graph Projects Fail00:29:37 - A Standard Query Language for Graphs (GQL)00:32:53 - Why Teams Are Moving From RAG to Graph RAG00:34:34 - Should Your Company Build Its Own AI Assistant?00:38:28 - The "Fear of Missing Out" Driving Bad AI Projects00:40:21 - The Dangers of Chaotic vs. Laser-Focused Company Priorities00:44:05 - Why Gantt Charts Don't Work for Software00:47:08 - How Top Engineers Actually Learn New TechnologiesGuests on this podcast express their own views and do not represent their employers.#GraphDatabase #KnowledgeGraph #SoftwareArchitecture

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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.

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.

### 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.

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.

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

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

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

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 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

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.