Podcasts about benchmarks

Send us a textIf you've ever wondered whether you're emailing your customers too much—or not enough—this episode is for you.Brandon and Caleb break down the strategy (not just the tactics) behind email marketing that actually works. With real benchmarks, proven ROI stats, and examples from businesses just like yours, you'll walk away knowing exactly how often to send, what to say, and how to keep your audience engaged—not annoyed.Inside this episode:The surprising ROI of email marketing ($36–$40 per $1 spent)Benchmarks for frequency, open rates, and unsubscribesWhat to send (even if you're “just a plumber”)Why email isn't about selling—it's about staying top of mindHow to revive a “cold” list the right wayWhether you're sending one email a month or none at all, this is your reminder: your best customer is your yesterday customer—and they're waiting to hear from you.Maven Marketing Mastermind → https://www.mavenmethodtraining.comOur Website: https://frankandmaven.com/Instagram: https://www.instagram.com/frankandmavenmarketing/TikTok: https://www.tiktok.com/@frankandmavenTwitter: https://twitter.com/frankandmavenLinkedIn: https://www.linkedin.com/company/frank-and-maven/Host: Brandon WelchCo-Host: Caleb AgeeExecutive Producer: Carter BreauxAudio/Video Producer: Nate the Camera GuyDo you have a marketing problem you'd like us to help solve? Send it to MavenMonday@FrankandMaven.com!Get a copy of our Best-Selling Book, The Maven Marketer Here: https://a.co/d/1clpm8a

Luke Flemmer, head of private assets at MSCI, joins the program to comment on the results of the survey, which analyzes the performance of various private market strategies, including buyouts, venture capital, private credit and real assets, based on dataset of more than 14,000 funds and $12 trillion in capitalization. (07/2025)

Luke Flemmer, head of private assets at MSCI, joins the program to comment on the results of the survey, which analyzes the performance of various private market strategies, including buyouts, venture capital, private credit and real assets, based on dataset of more than 14,000 funds and $12 trillion in capitalization. (07/2025)

Lo tenemos.

AS HUMANS WE:ENTERTAIN OUR NATURAL TENDENCIES ARE NATURALLY NEGATIVE ACCOMMODATE OUR SIN NATUREDEPLOY OUR KNEE-JERK REACTIONSPACIFY OUR REFLEX INCLINATION APPEAL TO THE GRAVITY OF OUR FLESHWORLD TELLS US:CAN'T TEACH OLD DOG NEW TRICKSLEAD A HORSE TO WATER…IT'S JUST HOW I AMIT'S BEEN IN MY FAMILY FOR YEARSBIBLE SAYS:NEW CREATIONPROGRESSIVELY SANCTIFIED FAITH TO FAITH GLORY TO GLORYRENEWEDRESTOREDREBORNREVIVEDTRIGGERS THAT REVEAL MY REFLEXESTRAFFIC STUPIDITYINCONSIDERATE CUSTOMER DIS-SERVICESELF-CENTERED EGOTISTICAL HUMANSIDLE TIME & BOREDOMFAMILY CONFLICT OR WORK ADVERSITY/FRUSTRATION5 BENCHMARKS FOR BREAKING OUR NATURAL BENDPREREQUISITES INVITE HOLY SPIRIT FOR DAILY GUIDANCE & WISDOMENLIST ONE GODLY BROTHER FOR ACCOUNTABILITY DO WHAT FEELS UNNATURAL FREQUENT UNFAMILIARITY DISCONNECT FROM HISTORICAL PATTERNSBREAK BAD HABITSNEW MUSCLE MEMORY AND NEURO PATHWAYS | NEURO PLASTICITY DEVELOP PSYCHOLOGICAL SORENESS | STRETCH IN DIFFERENT DIRECTIONS INGESTION INFILTRATION BREAK FAST FOOD FETISHSHOCK YOUR SYSTEM | FASTINGSCRUTINIZE THE CYNIC BREAK NATURAL THOUGHT CYCLE ABOUT OTHERSRECALIBRATE THE REFLEXEXIT THE ECHO CHAMBERCUT BAIT & TRIM FAT OF TOXIC CIRCLEVACATE THE VENOMOUS VACUUM 

Diese Folge ist eine besondere Aufnahme: Im Studio von OMR in Hamburg – dort, wo sonst Philipp Westermeyer seine Gäste begrüßt – sprechen Charlotte Pohlmann (Principal bei hy) und Marvin Müller (VP Marketing bei OMR Reviews) mit Dr. Sebastian Voigt über ihre gemeinsame Studie zum Thema Software Pricing. Die Grundlage: über 4.000 analysierte Anbieterprofile auf OMR Reviews und ergänzende Umfragedaten von rund 130 Unternehmen aus dem hy-Netzwerk. Das Ziel: verstehen, wie SaaS-Unternehmen heute bepreisen – und was sich in den nächsten Jahren ändern muss. „87 Prozent der Unternehmen in der DACH-Region planen, ihr Preismodell in den nächsten zwei Jahren umzustellen“, sagt Charlotte. Während der Preis pro Nutzer weiterhin Standard ist, gewinnen hybride und usage-basierte Ansätze an Bedeutung. Gleichzeitig zeigt sich: Je höher der Vertragswert, desto geringer die Preistransparenz. Das stellt viele Unternehmen vor neue Herausforderungen in Vertrieb, Kommunikation und Kundenbindung. Im Gespräch geht es um Benchmarks, Paketlogiken wie Good Better Best, psychologische Preispunkte, Einstiegshürden, KI-Kosten und neue Monetarisierungsmodelle. Die Folge bietet konkrete Einblicke für alle, die an SaaS-Strategien, Go-to-Market-Modellen und Pricing-Exzellenz arbeiten. Über die Gäste: Charlotte Pohlmann ist Principal für Pricing & Sales bei hy und Expertin für Go-To-Market- und Monetarisierungsstrategien für digitale Geschäftsmodelle. Mit über 10 Jahren Erfahrung in Strategy, Business Development und Strategic Partnerships hat sie zahlreiche Start-ups und etablierte Unternehmen bei der Skalierung ihrer Pricing-Strategien unterstützt. Zuvor sammelte sie umfassende operative Erfahrungen bei Scale-ups wie WATCHMASTER.COM und internationalen Unternehmen wie Navan, wo sie Strategic Partnerships und Account Management Teams leitete Marvin Müller ist VP Marketing bei OMR Reviews, der größten deutschsprachigen Plattform für Softwarebewertungen. Er verantwortet dort die Marketingstrategie sowie die Studien- und Datenformate rund um Software, Tools und Pricing. Gemeinsam mit seinem Team entwickelt er Formate für datenbasierte Marktanalysen, Benchmarks und Entscheidungsgrundlagen für Software-Käufe. Marvin Müller ist VP Marketing bei OMR Reviews, der größten deutschsprachigen Plattform für Softwarebewertungen. Er verantwortet dort die Marketingstrategie sowie die Studien- und Datenformate rund um Software, Tools und Pricing. Gemeinsam mit seinem Team entwickelt er Formate für datenbasierte Marktanalysen, Benchmarks und Entscheidungsgrundlagen für Software-Käufe.

Cognition schnappt sich Windsurf nach Googles spektakulärem „Talent-Heist“, während Elon Musk xAI per SpaceX-Milliarden auf eine 200-Mrd.-$-Bewertung pumpt. Mark Zuckerberg kontert mit gigantischen Titan-Clustern (Prometheus & Hyperion) und verspricht dreistellige Milliarden-Investitionen in KI-Rechenpower. Chip-Newcomer Groq peilt 6 Mrd.$ an, Nvidia darf mit den H20-Beschleunigern wieder nach China liefern, und Grok 4 glänzt in Benchmarks – muss sich aber für „MechaHitler“-Entgleisungen entschuldigen. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Windsurf-Deal (00:08:30) xAI-Runde: 200 Mrd.$ Bewertung, 2 Mrd.$ von SpaceX (00:21:30) Meta-Titan-Cluster: Prometheus / Hyperion > 1 GW (00:26:50) Groq-Raise: LPU-Chips zu 6 Mrd.$ (00:25:45) USA lockern: Nvidia H20 & AMD-MI300 für China (00:34:10) Grok 4: Benchmark-Sieg, Bias & Überwachungs-Tool Shownotes Cognition übernimmt Windsurf – techcrunch.com Elon Musks xAI strebt $200 Mrd. Bewertung an – on.ft.com Exklusiv: SpaceX investiert 2 Milliarden Dollar in Elon Musks xAI – wsj.com Peter Gostev zu Grok 4 sind mehrere unabhängige Benchmarks aufgetaucht. – linkedin.com Zuckerberg: Meta plant Gigawatt-Datenzentren – bloomberg.com Superintelligenz: Elite-Team und Milliardeninvestitionen in Rechenleistung – threads.com Elon Musk überwacht Mitarbeiter seiner KI-Firma – thedailybeast.com Nvidia-Herausforderer Groq: $6 Milliarden Bewertung – theinformation.com xAI und Grok entschuldigen sich für „schreckliches Verhalten“ – techcrunch.com Nvidia, AMD verkaufen wieder KI-Chips an China – bloomberg.com Grok: Interaktive KI-Begleiter auf iOS mit 3D-Avataren – testingcatalog.com Trump behielt Goldpokal, FIFA gab Replikat an Sieger – thedailybeast.com

En esta tertulia semanal de Product Hackers, hablamos de los temas más calientes en Inteligencia Artificial.Empezamos con Grok 4, el nuevo modelo de xAI que promete superar a los PhDs en varios benchmarks. ¿Está Elon más cerca que nadie de la AGI? Exploramos el auge de los navegadores agénticos como Comet de Perplexity y DIA, que están reimaginando la experiencia de navegación con IA integrada. Y muchas más noticias

Grok 4 from xAI just aced “Humanity's Last Exam” benchmarks while Grok 3 had a catastrophic public meltdown. What does this mean for the future of AI and Elon Musk's credibility? And, in other AI news, OpenAI's GPT-5 is rumored to land next week along with a new open-source reasoning model, Google's DeepMind launches AI-designed drugs into human trials, and Perplexity's new AI browser Comet sparks OpenAI's plan to crush Chrome. PLUS YouTube cracks down on AI-generated spam while updating image-to-video in VEO 3, Moon Valley releases an “ethical” AI video platform, and why you should probably stop kicking robots. AI IS GETTING SMARTER...BUT WE STILL CONTROL THE TREATS. Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links //  Grok4: The Smartest Model Yet? https://x.com/xai/status/1943158495588815072    Elon Says Grok-4 is better than PhD Level… https://x.com/teslaownersSV/status/1943168634672566294   Benchmarks https://x.com/ArtificialAnlys/status/1943166841150644622 https://x.com/arcprize/status/1943168950763950555   McKay Wrigley Grok 4 Heavy Example https://x.com/mckaywrigley/status/1943385794414334032   Grok Goes Bad: The Unhinged Behavior https://www.nytimes.com/2025/07/08/technology/grok-antisemitism-ai-x.html https://www.npr.org/2025/07/09/nx-s1-5462609/grok-elon-musk-antisemitic-racist-content   X CEO Linda Yaccarino Quits https://www.cnbc.com/2025/07/09/linda-yaccarino-x-elon-musk.html   Elon still trying to fix answers  https://x.com/elonmusk/status/1943240153587421589   OpenAI Poaches Tesla/xAi People https://www.wired.com/story/openai-new-hires-scaling/   Apple's Top AI Exec Leaves For Meta https://x.com/markgurman/status/1942341725499863272   OpenAI's open-source model coming as soon as next week and compares to o3-mini https://www.theverge.com/notepad-microsoft-newsletter/702848/openai-open-language-model-o3-mini-notepad   Perplexity's Comet Browser Launches https://comet.perplexity.ai/   OpenAI Fires Back With Its Browser News https://x.com/AndrewCurran_/status/1943008960803680730   YouTube *Might* Change Their Policies to Limit Faceless AI Videos (and mass produced content) https://techcrunch.com/2025/07/09/youtube-prepares-crackdown-on-mass-produced-and-repetitive-videos-as-concern-over-ai-slop-grows/   Google VEO 3 Image-to-Vid launched https://x.com/Uncanny_Harry/status/1942686253817974984 https://x.com/CaptainHaHaa/status/1942907271841030183 https://x.com/TheoMediaAI/status/1942564887114166493   My test + ask for sound sampling from the team: https://x.com/AIForHumansShow/status/1942597607312040348   Moonvalley Launches AI Video Platform https://www.moonvalley.com/   GoogleDeepMinds's Isomorphic Labs Starts Human Trials on AI generated drugs https://www.aol.com/finance/google-deepmind-grand-ambitions-cure-130000934.html?utm_source=perplexity&guccounter=1   Noetix N2 Robot Endures Abuse From Its Developer https://x.com/TheHumanoidHub/status/1941935665173963085 https://noetixrobotics.com/products-138.html   Kavan The Kid (the AI Batman video guy) CRUSHED His New Original Trailer https://x.com/Kavanthekid/status/1940452444850589999   Reachy The Robot from Hugging Face https://x.com/Thom_Wolf/status/1942887160983466096   Autonomous Robot Excavator Building a Wall https://x.com/lukas_m_ziegler/status/1941815414683521488  

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 a year or two [...] ---Outline:(00:43) Introduction:(05:19) Part 1: Time horizons extension model(05:25) Overview of their forecast(10:28) The exponential curve(13:16) The superexponential curve(19:25) Conceptual reasons:(27:48) Intermediate speedups(34:25) Have AI 2027 been sending out a false graph?(39:45) Some skepticism about projection(43:23) Part 2: Benchmarks and gaps and beyond(43:29) The benchmark part of benchmark and gaps:(50:01) The time horizon part of the model(54:55) The gap model(57:28) What about Eli's recent update?(01:01:37) Six stories that fit the data(01:06:56) ConclusionThe original text contained 11 footnotes which were omitted from this narration. --- First published: June 19th, 2025 Source: https://www.lesswrong.com/posts/PAYfmG2aRbdb74mEp/a-deep-critique-of-ai-2027-s-bad-timeline-models --- Narrated by TYPE III AUDIO. ---Images from the article:

Learn how recognizing milestones and benchmarks in the faith leads to healthy spiritual development for children and adults alike!  Bio: Mark Cook is a graduate of Concordia Nebraska and is in his 15th year serving as DCE at Trinity Lutheran Church in Rochester, MN. He serves in the areas of family ministry, youth ministry, confirmation, and children's ministry. He enjoys playing with his kids, music, camping, backpacking, and anything that involves being outdoors and going on adventures with his beautiful wife Libby and children, Micah (8), Karis (6), Ezra (3), Isaiah (20mo), and baby girl (coming soon!). Resources: Email us at friendsforlife@lcms.org LCMS Life Ministry: www.lcms.org/life  LCMS Family Ministry: www.lcms.org/family  Not all the views expressed are necessarily those of the LCMS; please discuss any questions with your pastor.

You probably know the story of the Mayflower, the famous ship that came to America. But you may not know that one of the passengers aboard the Mayflower nearly died after he fell overboard in a storm. But after he was rescued, his descendants became some of the most famous Americans in history. One biography really can change history, and that is certainly true of Jesus, the most important person who ever lived. What are the five benchmarks of Jesus' biography, and why do they still matter to your life today? (Wonder Junction VBS Grand Finale Sunday 2025)

Welcome to the Med Spa Success Strategies Podcast, presented by Ricky Shockley of Med Spa Magic Marketing. If you're ready to implement more efficient & effective marketing strategies for your practice, book your FREE strategy session & marketing plan: https://go.medspamagicmarketing.com/scheduleIn this episode, Ricky talks with Ben Hernandez, founder of Skytale Group, about what makes a med spa valuable — whether you're selling or not. Learn the profit benchmarks, payroll ratios, rent targets, service mix strategies, and operational habits that create a business buyers want (and owners love). (⁠https://skytalegroup.com/⁠)In this episode, we cover:✅ What a “de-risked” med spa looks like and why it matters✅ Ideal service mix ratios and why 60% injectables is different than 60% weight loss✅ When multi-location expansion helps—or hurts—valuation✅ Common financial benchmarks: payroll, COGS, rent, marketing, and profitability✅ The real impact of provider loyalty vs. brand loyalty✅ Why recurring revenue models matter more than big-ticket one-offs✅ When and how to offer equity to key providers (and what to expect at sale)✅ The rise of wellness services and how to know if your market is ready✅ Qualitative factors that influence valuation: retention, team culture, and more✅ How to prepare your business—even years before you plan to sellThis episode is loaded with strategic insight and actionable advice for practice owners at every stage of growth. This will give you a clearer lens on how to maximize your med spa's performance, reduce risk, and think like an investor.About Ben Hernandez of Skytale Group (https://skytalegroup.com/)Ben Hernandez is the CEO and Managing Director of Skytale Group, a leading advisory firm specializing in business strategy, M&A, and financial consulting for aesthetics and healthcare organizations. With a background in investment banking, hedge fund management, and healthcare consulting, Ben brings a unique blend of financial expertise and industry insight to every client relationship.He's a trusted voice in the aesthetics space—frequently speaking at conferences and guiding founder-led practices through the complexities of scaling, valuation, and acquisition. Ben holds a BBA in Finance from Texas A&M and an MBA from SMU's Cox School of Business. When he's not advising top-performing practices, he enjoys endurance sports, family travel, and non-fiction reading.Contact Ben Hernandez:https://skytalegroup.com/https://www.instagram.com/skytalegroupllc/https://www.instagram.com/ben.skytale/https://www.linkedin.com/in/g-benjamin-hernandez-385a586/Ben.Hernandez@skytalegroup.comFollow us on social media: https://www.instagram.com/medspamagicmarketing/https://www.linkedin.com/company/med-spa-magic-marketing/https://www.facebook.com/MedSpaMagicMarketing/https://www.tiktok.com/@medspamagicmarketing

“Is my kid where they're supposed to be?”It's one of the most common questions we hear—and this week on Our Kids Play Hockey, Lee, Christie, and Mike break it all down with a level-headed, age-by-age guide to youth hockey development.Whether your player is just learning to stand on skates or preparing for juniors, this episode helps you understand what skills are appropriate right now, what's coming next, and how to support your child's journey without rushing the process.

Bible Direction for Life is the sermon podcast of Westside Baptist Church in Bremerton, Washington. This sermon is entitled “Benchmarks of Discipleship” and was preached by Josh Bartels on June 22, 2025. If you would like to learn more about Westside Baptist Church, please visit our Website: www.BibleDirectionForLife.com. Subscribe to the Podcast if you would like to hear new sermons and lessons each week.  

How much R&D spend is too much—or not enough? In episode #290 of SaaS Metric School, Ben Murray breaks down R&D spend benchmarks by company revenue size, based on data from Ray Rike's Benchmarkit.ai. Whether you're a founder, CFO, CTO, or finance leader, understanding how your R&D investment compares is crucial for building operational leverage and scaling sustainably. What You'll Learn: Why R&D spend can feel like a black box—especially for CFOs Top vs. lean R&D spending benchmarks by revenue tiers: How R&D spend typically scales down as companies grow Why controlling opex and creating operating leverage is key to cash flow and EBITDA Resources & Links:

Solving Poker and Diplomacy, Debating RL+Reasoning with Ilya, what's *wrong* with the System 1/2 analogy, and where Test-Time Compute hits a wall Timestamps 00:00 Intro – Diplomacy, Cicero & World Championship 02:00 Reverse Centaur: How AI Improved Noam's Human Play 05:00 Turing Test Failures in Chat: Hallucinations & Steerability 07:30 Reasoning Models & Fast vs. Slow Thinking Paradigm 11:00 System 1 vs. System 2 in Visual Tasks (GeoGuessr, Tic-Tac-Toe) 14:00 The Deep Research Existence Proof for Unverifiable Domains 17:30 Harnesses, Tool Use, and Fragility in AI Agents 21:00 The Case Against Over-Reliance on Scaffolds and Routers 24:00 Reinforcement Fine-Tuning and Long-Term Model Adaptability 28:00 Ilya's Bet on Reasoning and the O-Series Breakthrough 34:00 Noam's Dev Stack: Codex, Windsurf & AGI Moments 38:00 Building Better AI Developers: Memory, Reuse, and PR Reviews 41:00 Multi-Agent Intelligence and the “AI Civilization” Hypothesis 44:30 Implicit World Models and Theory of Mind Through Scaling 48:00 Why Self-Play Breaks Down Beyond Go and Chess 54:00 Designing Better Benchmarks for Fuzzy Tasks 57:30 The Real Limits of Test-Time Compute: Cost vs. Time 1:00:30 Data Efficiency Gaps Between Humans and LLMs 1:03:00 Training Pipeline: Pretraining, Midtraining, Posttraining 1:05:00 Games as Research Proving Grounds: Poker, MTG, Stratego 1:10:00 Closing Thoughts – Five-Year View and Open Research Directions Chapters 00:00:00 Intro & Guest Welcome 00:00:33 Diplomacy AI & Cicero Insights 00:03:49 AI Safety, Language Models, and Steerability 00:05:23 O Series Models: Progress and Benchmarks 00:08:53 Reasoning Paradigm: Thinking Fast and Slow in AI 00:14:02 Design Questions: Harnesses, Tools, and Test Time Compute 00:20:32 Reinforcement Fine-tuning & Model Specialization 00:21:52 The Rise of Reasoning Models at OpenAI 00:29:33 Data Efficiency in Machine Learning 00:33:21 Coding & AI: Codex, Workflows, and Developer Experience 00:41:38 Multi-Agent AI: Collaboration, Competition, and Civilization 00:45:14 Poker, Diplomacy & Exploitative vs. Optimal AI Strategy 00:52:11 World Models, Multi-Agent Learning, and Self-Play 00:58:50 Generative Media: Image & Video Models 01:00:44 Robotics: Humanoids, Iteration Speed, and Embodiment 01:04:25 Rapid Fire: Research Practices, Benchmarks, and AI Progress 01:14:19 Games, Imperfect Information, and AI Research Directions

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.

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:(05:21) Part 1: Time horizons extension model(05:27) Overview of their forecast(10:30) The exponential curve(13:18) The superexponential curve(19:27) Conceptual reasons:(27:50) Intermediate speedups(34:27) Have AI 2027 been sending out a false graph?(39:47) Some skepticism about projection(43:25) Part 2: Benchmarks and gaps and beyond(43:31) The benchmark part of benchmark and gaps:(50:03) The time horizon part of the model(54:57) The gap model(57:31) What about Eli's recent update?(01:01:39) Six stories that fit the data(01:06:58) 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.

Mini-série Visibilité - Episode n°2 : Avoir un podcast, c'est bien. Comprendre pourquoi les gens l'écoutent — ou pas, c'est encore mieux.Dans cette chronique, je t'emmène explorer un nouvel outil pépite sortie par Spotify for Creators : les données de découverte. Un outil encore trop peu utilisé, et pourtant redoutablement utile pour comprendre où ton podcast perd (ou gagne) ses auditeurs potentiels.Tu sais, ce moment où tu regardes tes stats d'écoutes au pire en mode cafard, au mieux sans vraiment savoir quoi en faire ?Là, tu vas pouvoir enfin aller plus loin, et apprendre comment décrypter les bons indicateurs pour faire décoller tes écoutes sur Spotify et toutes les autres plateformes de podcasts.Dans cet épisode, je te guide pas à pas pour :comprendre le parcours de découverte de ton podcast (connaissance, considération, conversion),savoir quoi observer dans ton tableau de bord Spotify (avec un benchmark des stats moyennes à viser)identifier tes points faibles (vignette ? titre ? intro ? son ?),et surtout, transformer ces infos en plan d'action concret.Tu découvriras aussi pourquoi de petits ajustements sur ta cover, ton intro ou tes descriptions peuvent avoir un vrai impact sur la visibilité de ton podcast.À écouter si tu veux :enfin savoir où tu perds des auditeurs,apprendre à utiliser tes stats autrement que pour déprimer,construire une vraie méthode d'amélioration continue pour ton podcast.Dans les prochains épisodes de la série, on parlera de :Comment optimiser ton PSO (Podcast Search Optimization) pour remonter dans les résultats de recherche, avec une chronique mais aussi le retour d'expérience de Laurie Giacobi, de My Marketing Podcast.Mes audits découvrabilité de 2 podcasts volontaires (ou téméraires — au choix) : Club VG et Single Jungle.J'espère que cette chronique te donnera envie de jeter un œil neuf à tes analytics — et surtout de passer à l'action. Tu me diras ce que tu as eu envie d'ajuster en premier ?Liens utiles :Spotify for Creators : https://creators.spotify.com/Benchmarks des stats moyenne par Jeremy Enns : https://podcastmarketingacademy.com/spotify-podcast-conversion-rate-benchmarks/

Are Large Language Models (LLMs) truly intelligent, or just sophisticated pattern matchers? This episode dives deep into a fascinating debate sparked by Apple's recent research paper, which questioned the reasoning capabilities of LLMs. We explore the counter-arguments presented by OpenAI and Anthropic, dissecting the methodologies and the core disagreements about what constitutes genuine intelligence in AI. Join us as we unpack the nuances of LLM evaluation and challenge common perceptions about AI's current limitations.

Ryan Carniato, creator of SolidJS, joins the podcast to reflect on a decade of developing the framework. We dive into the evolution of frontend tooling, the rise of fine-grained reactivity, and why SolidJS continues to challenge virtual DOM conventions. Ryan also shares insights on open source maintenance, web standards, and the future of UI architecture. Links YouTube: https://www.youtube.com/@ryansolid X: https://x.com/ryancarniato Dev.to: https://dev.to/ryansolid SolidJS Website: https://www.solidjs.com Resources A Decade of SolidJS: https://dev.to/this-is-learning/a-decade-of-solidjs-32f4 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Ryan Carniato.

In episode #285 of SaaS Metrics School, Ben Murray dives into one of the most overlooked levers in SaaS financial performance—G&A (General & Administrative) spend. How much should you really be spending on back office functions like finance, HR, legal, and IT? Using data from Benchmarkit.AI, Ben walks through G&A as a percent of revenue across ARR stages—from startups under $1M to companies exceeding $100M. He also explains how operating leverage is created through back office efficiency and why using benchmarks segmented by ARR is crucial in SaaS metrics analysis. What You'll Learn: Why aggregate SaaS benchmarks are dangerous G&A benchmarks by ARR segment (top quartile vs. median) The role of operating leverage in SaaS profitability How to evaluate your own back office spend using metrics Actionable targets for G&A as a percent of revenue SaaS Metrics Covered: G&A % of Revenue Operating Leverage Opex Profile by ARR Benchmarking by ARR vs. ACV Resources Mentioned: Benchmarkit.ai Join Ben's SaaS Metrics community for webinars, templates, and live sessions: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page

Dave "CAC" Kellogg and Ray "Growth" Rike break down the recent Benchmarkit B2B Marketing Budget and Productivity Benchmarks Report. Key trends and insights into how the Marketing budgets are established, consumed and reported upon including:Marketing budget as a percentage of revenue including YoY changes and segmented by company sizeGrowth Rates compared to Marketing budget allocation - the chicken or the egg discussionPeople vs Program vs Technology budget allocation - and which company profile attributes impact the resultsDemand Generation - how much of the Marketing budget is consumed by demand gen - it depends...Product-Led Growth vs Sales-Led Growth - how the GTM motion impacts budget allocationTop 3 Marketing Performance Metrics use and the Top 3 Marketing efficiency metrics usedIf you are evaluating how your Marketing budget companies to similar "like" companies or how other companies are measuring the efficiency and/or Marketing ROI - this episode has something for you!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, host Mark Longo is joined by guests Russell Rhodes (Indiana University Kelley School of Business), Damien Zinck (Eurex), and Nick Cassano (Tradier) to delve into the dynamic world of European derivatives markets. The discussion encompasses various aspects such as the Euro STOXX 50 index, DAX futures, VSTOXX volatility index, and innovative trading strategies like one-by-two call spreads. The episode highlights the impact of market volatility driven by global trade wars and geopolitical factors on European markets. The experts also share insights into sector-specific futures and the growing interest in European derivatives among US investors.   01:22 Welcome to the European Market Brief 02:31 Episode Two Kickoff and Guest Introductions 07:26 Diving into the Euro Stocks 50 13:51 Exploring the DAX and Micro Contracts 17:42 Trading Strategies and Leverage in Futures 18:58 Understanding VSTOXX and Volatility 27:34 VSTOXX vs VIX: A Comparative Analysis 28:26 European Derivatives Market: Current Trends 29:13 Impact of Trade Wars and Geopolitics 36:20 Sector Futures and Trading Opportunities 42:33 Volatility Trading Strategies 46:07 Listener Feedback and Closing Remarks  

Bill Plaschke hops on to talk about the end of Around the Horn, the current state of the Dodgers and the Lakers' offseason. Batting average for position players and wins for starting pitchers arent as important as they used to be. Is the legalization of sports gambling inadvertently the reason why so many players are recieving threats on social media?

LMArena cofounders Anastasios N. Angelopoulos, Wei-Lin Chiang, and Ion Stoica sit down with a16z general partner Anjney Midha to talk about the future of AI evaluation. As benchmarks struggle to keep up with the pace of real-world deployment, LMArena is reframing the problem: what if the best way to test AI models is to put them in front of millions of users and let them vote? The team discusses how Arena evolved from a research side project into a key part of the AI stack, why fresh and subjective data is crucial for reliability, and what it means to build a CI/CD pipeline for large models.They also explore:Why expert-only benchmarks are no longer enough.How user preferences reveal model capabilities — and their limits.What it takes to build personalized leaderboards and evaluation SDKs.Why real-time testing is foundational for mission-critical AI.Follow everyone on X:Anastasios N. AngelopoulosWei-Lin ChiangIon StoicaAnjney MidhaTimestamps0:04 -  LLM evaluation: From consumer chatbots to mission-critical systems6:04 -  Style and substance: Crowdsourcing expertise18:51 -  Building immunity to overfitting and gaming the system29:49 -  The roots of LMArena41:29 -   Proving the value of academic AI research48:28 -  Scaling LMArena and starting a company59:59 -  Benchmarks, evaluations, and the value of ranking LLMs1:12:13 -  The challenges of measuring AI reliability1:17:57 -  Expanding beyond binary rankings as models evolve1:28:07 -  A leaderboard for each prompt1:31:28 -  The LMArena roadmap1:34:29 -  The importance of open source and openness1:43:10 -  Adapting to agents (and other AI evolutions) Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

S&P500, Dow Jones Industrial Average, and the Nasdaq 100 are all household names to investors. However, many investors may not know what goes into constructing an index. Nasdaq's Director of Index Product Development, Rob Jankiewicz joins Jeff Praissman to discuss how indexes are constructed and the many parameters that are used.

Introduction I have been writing posts critical of mainstream EA narratives about AI capabilities and timelines for many years now. Compared to the situation when I wrote my posts in 2018 or 2020, LLMs now dominate the discussion, and timelines have also shrunk enormously. The ‘mainstream view' within EA now appears to be that human-level AI will be arriving by 2030, even as early as 2027. This view has been articulated by 80,000 Hours, on the forum (though see this excellent piece excellent piece arguing against short timelines), and in the highly engaging science fiction scenario of AI 2027. While my article piece is directed generally against all such short-horizon views, I will focus on responding to relevant portions of the article ‘Preparing for the Intelligence Explosion' by Will MacAskill and Fin Moorhouse. Rates of Growth The authors summarise their argument as follows: Currently, total global research effort [...] ---Outline:(00:11) Introduction(01:05) Rates of Growth(04:55) The Limitations of Benchmarks(09:26) Real-World Adoption(11:31) Conclusion--- First published: May 2nd, 2025 Source: https://forum.effectivealtruism.org/posts/meNrhbgM3NwqAufwj/why-i-am-still-skeptical-about-agi-by-2030 --- Narrated by TYPE III AUDIO.

Benchmarks in Australia, South Korea and Japan all climbed in early trading Wednesday, pushing a gauge of Asian shares 0.4% higher. Geopolitical tensions may add headwinds to the markets, which had calmed recently after a month of turmoil from the tariff blitz unleashed by US President Donald Trump. We look at how the tariff story is resonating through the Asia-Pacific with Helen Zhu, Managing Partner and Chief Investment Officer at NF Trinity. Plus - oil rose after CNN reported that US intelligence had suggested Israel is making preparations for a possible strike on Iranian nuclear facilities. Stocks in Asia advanced on Wednesday. West Texas Intermediate gained 1.5% to $62.96 a barrel. It's not clear that Israeli leaders had made a final decision to carry out the strikes, CNN said, citing unnamed officials. Contracts for the S&P 500 and the Nasdaq 100 were down 0.1%, paring most of their losses earlier in the day. We get reaction to the day's macro headlines from Brian Vendig, President and Chief Investment Officer at MJP Wealth Advisors.See omnystudio.com/listener for privacy information.

With Microsoft Build, Google I/O, and Code with Claude all happening this week, the battle between major AI labs is heating up. This episode breaks down how to think about the AI race across five key vectors: Consumer, Enterprise, Coding, Agents, and Benchmarks. Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Vertice Labs - Check out ⁠⁠⁠⁠⁠⁠⁠⁠http://verticelabs.io/⁠⁠⁠⁠⁠⁠⁠⁠ - the AI-native digital consulting firm specializing in product development and AI agents for small to medium-sized businesses.The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

Tauche ein in die faszinierende Welt der digitalen Transformation mit Joel Kaczmarek und Dominik Dommick, die im Gespräch mit Tobias Groten, dem visionären Gründer von Tobit Software, die Zukunft der Städte erkunden. Tobias hat in Ahaus ein digitales Wunderland geschaffen, das als lebendiges Labor für vernetzte Städte dient. Von Super-Apps bis zu digitalisierten Stadtstrukturen – erfahre, wie Tobias ganze Städte revolutioniert und welche Rolle innovative Technologien dabei spielen. Lass dich inspirieren von einem Gespräch, das zeigt, wie Digitalisierung das Leben in Städten neu definiert. Du erfährst... …wie Tobias Groten mit Tobit ganze Städte digitalisiert und vernetzt …welche innovativen Konzepte hinter der Super-App von Ahaus stecken …warum Digitalisierung in Kleinstädten entscheidend für deren Zukunft ist …wie das Punktesystem von Ahaus die lokale Gig-Economy revolutioniert …warum Tobias Groten trotz Erfolg keine weiteren Städte digitalisiert __________________________ ||||| PERSONEN |||||

Mixed APAC trade, US futures range bound while European futures point to a marginally firmer open.DXY remains lower after Thursday's data, EUR/USD marginally reclaimed 1.12, USD/JPY found support at 145.00.Fixed benchmarks extended/held on to recent gains.Crude benchmarks remain underpinned by the latest on US-Iran, metals marginally softer.Looking ahead, highlights include US Export/Import Prices, UoM Sentiment Survey, BoC SLOS, Speakers including ECB's Lane, Cipollone & Fed's Barkin.Click for the Newsquawk Week Ahead.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Market Proof Marketing · Ep 387: Books Buzzwords & Benchmarks In this episode of Market Proof Marketing, Jackie Lipinski and Beth Russell reflect on the power of clear communication, clean marketing systems, and community-first thinking. From school movie nights and panic cleaning to organizing ad accounts and analyzing the Q1 Online Sales Benchmarks, this episode covers the serious and the silly. Plus, a detailed recap of the most recent Market Proof Marketing Academy, thoughts on Google's AI ad integrations, and a reminder that your brand lives well beyond your website.Key TopicsCommunication fails & panic cleaningHighlights from the Market Proof Marketing AcademyQ1 2025 Online Sales BenchmarksGoogle tests ads in AI chatbot conversationsCommunity planning and lifestyle-driven decision-makingShifting focus from incentives to valueAll Access reminders and listener appreciationSPECIAL ANNOUNCEMENTSOnline Sales & Marketing Summit is Filling Up - Grab Your Tickets TodayStory Time [1:05]Beth shares a personal story about missing a school event due to unclear and inconsistent communication, something builder marketers should heed when planning outreach for events.Jackie reflects on "panic cleaning" before company arrives and ties it to the need for marketers to keep their ad accounts clean and organized, even if no one's watching (yet).The team gives a shout-out to Kendra and listeners who asked for Story Time to stay; your wishes have been granted!In The News [21:04]Q1 2025 Online Sales BenchmarksJackie and Beth review Amanda Martin's new online sales benchmark report summarizing over 50,000 leads from 33 markets. Despite Q1 being particularly tough for many builders, the consistency and performance of online sales teams remain impressive. They also discuss how these benchmarks can serve as both inspiration and a performance check.Google is Testing Ads in Third-party AI Chatbot ConversationsGoogle's experiment with placing ads inside chatbot conversations sparks discussion on what this means for marketers. Jackie and Beth point out the infancy of this format, the very low AI-driven site traffic to builders today, and why the content on your own website - and how it gets syndicated elsewhere - remains your biggest asset for visibility.Things We Love, Things We Hate [33:40]Beth's Love: Taking a walk through her community trail reminded her how thoughtfully designed neighborhoods deliver lasting emotional value to residents, something builders should showcase more intentionally.Jackie's Love: Celebrating 10 years since relocating to Washington state, Jackie reflects on the importance of loving where you live and how lifestyle decisions drive buying behavior.Want to rewatch part of the Academy or catch exclusive behind-the-scenes content?Join DYC's All Access community — free for builders, online sales specialists, and home building leaders.Have feedback or want to fight for more Story Time? Let us know: your messages bring us joy (and influences podcast decisions!).Like and subscribe on your favorite platform! The post Ep 387: Books, Buzzwords & Benchmarks appeared first on Online Sales and Marketing for Home Builders - DYC.

Emily  Bender is a computational linguistics professor at the University of Washington. Alex Hanna is the Director of Research at the Distributed AI Research Institute. Bender and Hanna join Big Technology to discuss what their new book, “The AI‑Con," which they describe as the layered ways today's language‑model boom obscures environmental costs, labor harms, and shaky science. Tune in to hear a lively back‑and‑forth on whether chatbots are useful tools or polished parlor tricks. We also cover benchmark gaming, data‑center water use, doomerism, and more. Hit play for a candid debate that will leave you smarter about where generative AI really stands — and what comes next. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack? Here's 25% off for the first year, which includes membership to our subscriber Discord: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

(00:00:00) Electrical Contractor Business Benchmarks w Josh Bone, ELECTRI International (00:05:28) Project Basics (00:15:31) Evolution of an EC Business (00:23:17) Project Progress (00:32:16) Who is This For? (00:33:19) What to Measure in Business? (00:38:22) Passion for the Industry Business financial and operation benchmarks are invaluable as you look to improve your business numbers and service levels. However, if you're an electrical contractor or data/comm installer, how do you find numbers that relate to your industry?I spoke with Josh Bone, Executive Director at ELECTRI International, about a new project to create a repository of benchmarking data that will be available to contractors for free. We discuss the design of the project and how the data will help contractors understand their businesses for better management and financial success.ELECTRI International is a non-profit research organization focused on the electrical and comm/data side of construction.Thank you for listening and please take a moment to subscribe, rate, and review our show on your favorite app.To get a hold of us here at Keepin' The Lights On, please email: podcast@graybar.comWatch on YouTube: https://youtu.be/JkEiv3FKFdwTo reach Josh Bone on LinkedIn:  https://www.linkedin.com/in/joshbone/Learn more about Electri International: https://www.electri.org/Find the free Electri International research reports: https://www.electri.org/research-overview/research/Get engaged in the latest research: https://www.electri.org/research-overview/electri-research-engagement-hub/Drago's Seafood New Orleans: https://www.dragosrestaurant.com/

#37: Real Talk on Benchmarks and Market Trends with Our Newest Sales CoachesIn this episode, Jen, Amanda, and new team members Melissa Fort and Molly Adams, bring energy, insights, and just the right amount of pet hair talk to the mic. From behind-the-scenes snafus to deep dives on sales benchmarks and market shifts, this episode is packed with relatable moments and practical takeaways for online sales pros.You'll hear about:DYC's Newest Coaches: Meet Melissa and MollyMelissa and Molly reflect on joining the online sales coaching team and share their impressions of the Online Sales & Marketing Summit in Chicago—whether attending as a first-timer or a seasoned leader.Online Sales Benchmarks RevealedAmanda breaks down six years of performance data, uncovering:A slight uptick in lead-to-appointment conversionsA dip in appointment-to-sale conversionsStable online sales contribution ratesNavigating a Hesitant MarketMarket uncertainty and buyer hesitancy are real, but the team has winning strategies to help you succeedTravel, Transitions & Backup PlansSharpening Sales Strategy & BehaviorDon't miss this conversation that blends data-driven strategy with real-life stories from the front lines of online sales. Whether you're a seasoned OSC or new to the role, there's something here for you.Thanks for tuning in!Questions? Email: show@doyouconvert.comMore at doyouconvert.com

Audio file, also on Apple and SpotifyTyler Cowen, Ph.D, is the Holbert L. Harris Professor of Economics at George Mason University. He is the author of 17 books, most recently Talent.: How to Identify Energizers, Creatives, and Winners Around the World. Tyler has been recognized as one of the most influential economists of the past decade. He initiated and directs the philanthropic project Emergent Ventures, writes a blog Marginal Revolution, and a podcast Conversations With Tyler, and also writes columns for The Free Press." He is writing a new book (and perhaps his last) on Mentors. “Maybe AGI [Artificial General Intelligence] is like porn — I know it when I see it. And I've seen it.”—Tyler CowenOur conversation on acquiring information, A.I., A.G.I., the NIH, the assault on science, the role of doctors in the A.I. era,, the meaning of life, books of the future, and much more.Transcript with linksEric Topol (00:06):Well, hello. This is Eric Topol with Ground Truths, and I am really thrilled today to have the chance to have a conversation with Tyler Cowen, who is, when you look up polymath in the dictionary, you might see a picture of him. He is into everything. And recently in the Economist magazine 1843, John Phipps wrote a great piece profile, the man who wants to know everything. And actually, I think there's a lot to that.Tyler Cowen (00:36):That's why we need longevity work, right?Eric Topol (00:39):Right. So he's written a number of books. How many books now, Tyler?Tyler Cowen:17, I'm not sure.Eric Topol:Only 17? And he also has a blog that's been going on for over 20 years, Marginal Revolution that he does with Alex Tabarrok.Tyler Cowen (00:57):Correct.Eric Topol (00:57):And yeah, and then Conversations with Tyler, a podcast, which I think an awful lot of people are tuned into that. So with that, I'm just thrilled to get a chance to talk with you because I used to think I read a lot, but then I learned about you.“Cowen calls himself “hyperlexic”. On a good day, he claims to read four or fivebooks. Secretly, I timed him at 30 seconds per page reading a dense tract byMartin Luther. “—John Phipps, The Economist's 1843I've been reading more from the AIs lately and less from books. So I'll get one good book and ask the AI a lot of questions.Eric Topol (01:24):Yeah. Well, do you use NotebookLM for that?Tyler Cowen (01:28):No, just o3 from OpenAI at the moment, but a lot of the models are very good. Claude, there's others.Eric Topol (01:35):Yeah, yeah. No, I see how that's a whole different way to interrogate a book and it's great. And in fact, that gets me to a topic I was going to get to later, but I'll do it now. You're soon or you have already started writing for the Free Press with Barri Weiss.Tyler Cowen (01:54):That's right, yes. I have a piece coming out later today. It's been about two weeks. It's been great so far.“Tyler Cowen has a mind unlike any I've ever encountered. In a single conversation, it's not at all unusual for him to toggle between DeepSeek, GLP-1s, Haitian art, sacred Tibetan music, his favorite Thai spot in L.A., and LeBron James”—Bari WeissYeah, so that's interesting. I hadn't heard of it until I saw the announcement from Barri and I thought what was great about it is she introduced it. She said, “Tyler Cowen has a mind unlike any I've ever encountered. In a single conversation, it's not at all unusual for him to toggle between DeepSeek, GLP-1s, Haitian art, sacred Tibetan music, his favorite Thai spot in L.A., and LeBron James. Now who could do that, right. So I thought, well, you know what? I need independent confirmation of that, that is as being a polymath. And then I saw Patrick Collison, who I know at Stripe and Arc Institute, “you can have a specific and detailed discussion with him about 17th-century Irish economic thinkers, or trends in African music or the history of nominal GDP targeting. I don't know anyone who can engage in so many domains at the depth he does.” So you're an information acquirer and one of the books you wrote, I love the title Infovore.Tyler Cowen (03:09):The Age of the Infovore, that's right.Eric Topol (03:11):I mean, have people been using that term because you are emblematic of it?“You can have a specific and detailed discussion with him about 17th-century Irish economic thinkers, or trends in African music or the history of nominal GDP targeting. I don't know anyone who can engage in so many domains at the depth he does.”—Patrick CollisonIt was used on the internet at some obscure site, and I saw it and I fell in love with that word, and I thought I should try to popularize it, but it doesn't come from me, but I think I am the popularizer of it.Yeah, well, if anybody was ingesting more information and being able to work with it. That's what I didn't realize about you, Tyler, is restaurants and basketball and all these other fine arts, very impressive. Now, one of the topics I wanted to get into you is I guess related to a topic you've written about fair amount, which is the great stagnation, and right now we're seeing issues like an attack on science. And in the past, you've written about how you want to raise the social status of scientists. So how do you see this current, I would even characterize as a frontal assault on science?Tyler Cowen (04:16):Well, I'm very worried about current Trump administration policies. They change so frequently and so unpredictably, it's a little hard to even describe what they always are. So in that sense, it's a little hard to criticize them, but I think they're scaring away talent. They might scare away funding and especially the biomedical sciences, the fixed costs behind a lot of lab work, clinical trials, they're so high that if you scare money away, it does not come back very readily or very quickly. So I think the problem is biggest perhaps for a lot of the biomedical sciences. I do think a lot of reform there has been needed, and I hope somehow the Trump policies evolve to that sort of reform. So I think the NIH has become too high bound and far too conservative, and they take too long to give grants, and I don't like how the overhead system has been done. So there's plenty of room for improvement, but I don't see so far at least that the efforts have been constructive. They've been mostly destructive.Eric Topol (05:18):Yeah, I totally agree. Rather than creative destruction it's just destruction and it's unfortunate because it seems to be haphazard and reckless to me at least. We of course, like so many institutions rely on NIH funding for the work, but I agree that reform is fine as long as it's done in a very thought out, careful way, so we can eke out the most productivity for the best investment. Now along with that, you started Emergent Ventures where you're funding young talent.Tyler Cowen (05:57):That's right. That's a philanthropic fund. And we now have slightly over 1000 winners. They're not all young, I'd say they're mostly young and a great number of them want to go into the biomedical sciences or have done so. And this is part of what made me realize what an incredible influx of talent we're seeing into those areas. I'm not sure this is widely appreciated by the world. I'm sure you see it. I also see how much of that talent actually is coming from Canada, from Ontario in particular, and I've just become far more optimistic about computational biology and progress in biology and medical cures, fixes, whatever you want to call it, extending lives. 10 years ago, I was like, yeah, who knows? A lot of things looked pretty stuck. Then we had a number of years where life expectancy was falling, and now I think we're on the verge of a true golden age.Eric Topol (06:52):I couldn't agree with you more on that. And I know some of the people that you funded like Anne Wylie who developed a saliva test for Covid out of Yale. But as you say, there's so many great young and maybe not so young scientists all over, Canada being one great reservoir. And now of course I'm worried that we're seeing emigration rather than more immigration of this talent. Any thoughts about that?Tyler Cowen (07:21):Well, the good news is this, I'm in contact with young people almost every day, often from other countries. They still want to come to the United States. I would say I sign an O-1 letter for someone about once a week, and at least not yet has the magic been dissipated. So I'm less pessimistic than some people are, but I absolutely do see the dangers. We're just the biggest market, the freest place we have by far the most ambitious people. I think that's actually the most significant factor. And young people sense that, and they just want to come here and there's not really another place they can go that will fit them.Eric Topol (08:04):Yeah, I mean one of the things as you've probably noted is there's these new forces that are taking on big shouldering. In fact, Patrick Collison with Arc Institute and Chan Zuckerberg for their institute and others like that, where the work you're doing with Emergent Ventures, you're supporting important projects, talents, and if this whole freefall in NIH funding and other agency funding continues, it looks like we may have to rely more on that, especially if we're going to attract some talent from outside. I don't know how else we're going to make. You're absolutely right about how we are such a great destination and great collaborations and mentors and all that history, but I'm worried that it could be in kind of a threatened mode, if you will.Tyler Cowen (08:59):I hope AI lowers costs. As you probably know at Arc, they had Greg Brockman come in for some number of months and he's one of the people, well, he helped build up Stripe, but he also was highly significant in OpenAI behind the GPT-4 model. And to have Greg Brockman at your institute doing AI for what, six months, that's a massive acceleration that actually no university had the wisdom to do, and Arc did. So I think we're seeing just more entrepreneurial thinking in the area. There's still this problem of bottlenecks. So let's say AI is great for drug discovery as it may be. Well, clinical trials then become a bigger bottleneck. The FDA becomes a bigger bottleneck. So rapid improvement in only one area while great is actually not good enough.Eric Topol (09:46):Yeah, I'm glad you brought up that effect in Arc Institute because we both know Patrick Hsu, who's a brilliant young guy who works there and has published some incredible large language models applied to life science in recent months, and it is impressive how they used AI in almost a singular way as compared to as you said, many other leading institutions. So that is I think, a really important thing to emphasize.Tyler Cowen (10:18):Arc can move very quickly. I think that's not really appreciated. So if Patrick Hsu decides Silvana Konermann, Patrick Collison, if they decide something ought to be bought or purchased or set in motion, it can happen in less than a day. And it does happen basically immediately. And it's not only that it's quicker, I think when you have quicker decisions, they're better and it's infectious to the people you're working with. And there's an understanding that the core environment is not a bureaucratic one. So it has a kind of multiplier effect through the institution.Eric Topol (10:54):Yeah, I totally agree with you. It's always been a philosophy in your mind to get stuff done, get s**t done, whatever you want to call it. They're getting it done. And that's what's so impressive. And not just that they've got some new funds available, but rather they're executing in a way that's parallel to the way the world's evolving in the AI front, which is I think faster than most people would ever have expected, anticipated. Now that gets me to a post you had on Marginal Revolution just last week, which one of the things I love about Marginal Revolution is you don't have to read a whole lot of stuff. You just give the bullets, the juice, if you will. Here you wrote o3 and AGI, is April 16th AGI day? And everybody's talking about artificial general intelligence is here. It's going to be here five years, it's going to be seven years.Eric Topol (11:50):It certainly seems to be getting closer. And in this you wrote, “I think it is AGI, seriously. Try asking it lots of questions, and then ask yourself: just how much smarter was I expecting AGI to be? As I've argued in the past, AGI, however you define it, is not much of a social event per se. It still will take us a long time to use it properly. Benchmarks, benchmarks, blah blah blah. Maybe AGI is like porn — I know it when I see it. And I've seen it.” I thought that was really well done, Tyler. Anything you want to amplify on that?Tyler Cowen (12:29):Look, if I ask at economics questions and I'm trained as an economist, it beats me. So I don't care if other people don't call it AGI, but one of the original definitions of AGI was that it would beat most experts most of the time on most matters, say 90% or above, and we're there. So people keep on shifting the goalposts. They'll say, well, sometimes it hallucinates or it's not very good at playing tic-tac toe, or there's always another complaint. Those are not irrelevant, but I'll just say, sit down, have someone write at a test of 20 questions, you're a PhD, you take the test, let o3 take the test, then have someone grade, see how you've done, then form your opinion. That's my suggestion.Eric Topol (13:16):I think it's pretty practical. I mean, enough with the Turing test, I mean, we've had that Turing test for decades, and I think the way you described it is a little more practical and meaningful these days. But its capabilities to me at least, are still beyond belief eke out of current, not just the large language models, but large reasoning models. And so, it's just gotten to a point where and it's accelerating, every week there's so many other, the competition is good for taking it to the next level.Tyler Cowen (13:50):It can do tasks and it self improves. So o3-pro will be out in a few weeks. It may be out by the time you're hearing this. I think that's obviously going to be better than just pure o3. And then GPT-5 people have said it will be this summer. So every few months there are major advances and there's no sign of those stopping.Eric Topol (14:12):Absolutely. Now, of course, you've been likened to “Treat Tyler like a really good GPT” that is because you're this information meister. What do you ask the man who you can ask anything? That's kind of what we have when we can go to any one of these sites and start our prompts, whatever. So it's kind of funny in some ways you might've annotated this with your quest for knowledge.Tyler Cowen (14:44):Well, I feel I understand the thing better than most people do for that reason, but it's not entirely encouraging to me personally, selfishly to be described that way, whether or not it's accurate. It just means I have a lot more new competition.Eric Topol (14:59):Well, I love this one. “I'm not very interested in the meaning of life, but I'm very interested in collecting information on what other people think is the meaning of life. And it's not entirely a joke” and that's also what you wrote about in the Free Press thing, that most of the things that are going to be written are going to be better AI in the media and that we should be writing books for the AI that's going to ingest them. How do you see this human AI interface growing or moving?Tyler Cowen (15:30):The AI is your smartest reader. It's your most sympathetic reader. It will remember what you tell it. So I think humans should sit down and ask, what does the AI need to know? And also, what is it that I know that's not on the historical record anywhere? That's not just repetition if I put it down, say on the internet. So there's no point in writing repetitions anymore because the AI already knows those things. So the value of what you'd call broadly, memoir, biography, anecdote, you could say secrets. It's now much higher. And the value of repeating basic truths, which by the way, I love as an economist, to be clear, like free trade, tariffs are usually bad, those are basic truths. But just repeating that people will be going to the AI and saying it again won't make the AI any better. So everything you write or podcast, you should have this point in mind.Eric Topol (16:26):So you obviously have all throughout your life in reading lots of books. Will your practice still be to do the primary reading of the book, or will you then go to o3 or whatever or the other way around?Tyler Cowen (16:42):I've become fussier about my reading. So I'll pick up a book and start and then start asking o3 or other models questions about the book. So it's like I get a customized version of the book I want, but I'm also reading somewhat more fiction. Now, AI might in time become very good at fiction, but we're not there now. So fiction is more special. It's becoming more human, and I should read more of it, and I'm doing that.Eric Topol (17:10):Yeah, no, that's great. Now, over the weekend, there was a lot of hubbub about Bill Gates saying that we won't need doctors in the next 10 years because of AI. What are your thoughts about that?Tyler Cowen (17:22):Well, that's wrong as stated, but he may have put it in a more complex way. He's a very smart guy of course. AI already does better diagnosis on humans than medical doctors. Not by a lot, but by somewhat. And that's free and that's great, but if you need brain surgery for some while, you still need the human doctor. So human doctors will need to adjust. And if someone imagines that at some point robots do the brain surgery better, well fine. But I'm not convinced that's within the next 10 years. That would surprise me.Eric Topol (17:55):So to that point, recently, a colleague of mine wrote an op-ed in the New York Times about six studies comparing AI alone versus doctors with AI. And in all six studies, the AI did better than the doctors who had access to AI. Now, you could interpret that as, well they don't know how to use AI. They have automation bias or that is true. What do you think?Tyler Cowen (18:27):It's probably true, but I would add as an interpretation, the value of meta rationality has gone up. So to date, we have not selected doctors for their ability to work with AI, obviously, but some doctors have the personal quality, it's quite distinct from intelligence, but if just knowing when they should defer to someone or something else, and those doctors and researchers will become much more valuable. They're sufficiently modest to defer to the AI and have some judgment as to when they should do that. That's now a super important quality. Over time, I hope our doctors have much more of that. They are selected on that basis, and then that result won't be true anymore.Eric Topol (19:07):So obviously you would qualify. There's a spectrum here. The AI enthusiasts, you and I are both in that group, and then there's the doomsayers and there's somewhere middle ground, of course, where people are trying to see the right balance. Are there concerns about AI, I mean anything about that, how it's moving forward that you're worried about?Tyler Cowen (19:39):Well, any change that big one should have very real concerns. Maybe our biggest concern is that we're not sure what our biggest concern should be. One simple effect that I see coming soon is it will devalue the status of a lot of our intellectuals and what's called our chattering class. A lot of its people like us, we won't seem so impressive anymore. Now, that's not the end of the world for everyone as a whole, but if you ask, what does it mean for society to have the status of its elites so punctured? At a time when we have some, I would say very negative forces attacking those elites in other ways, that to me is very concerning.Eric Topol (20:25):Do you think that although we've seen what's happening with the current administration with respect to the tariffs, and we've already talked about the effects on science funding, do you see this as a short-term hit that will eventually prevail? Do you see them selectively supporting AI efforts and finding the right balance with the tech companies to support them and the competition that exists globally with China and whatnot? How are we going to get forward and what some people consider pretty dark times, which is of course, so seemingly at odds with the most extraordinary times of human support with AI?Tyler Cowen (21:16):Well, the Trump people are very pro AI. I think that's one of the good things about the administration, much pro AI and more interested than were the Biden people. The Biden people, you could say they were interested, but they feared it would destroy the whole world, and they wanted to choke and throttle it in a variety of ways. So I think there's a great number of issues where the Trump people have gone very badly wrong, but at least so far AI's not one of them. I'd give them there like an A or A+ so far. We'll see, right?Eric Topol (21:44):Yeah. As you've seen, we still have some of these companies in some kind of a hot seat like Meta and Google regarding their monopolies, and we saw how some of the tech leaders, not all of them, became very supportive, potentially you could interpret that for their own interests. They wanted to give money to the inauguration and also get favor curry some political favor. But I haven't yet seen the commitment to support AI, talk about a golden age for the United States because so much of this is really centered here and some of the great minds that are helping to drive the AI and these models. But I wonder if there's more that can be done so that we continue to lead in this space.Tyler Cowen (22:45):There's a number of issues here. The first is Trump administration policy toward the FTC, I think has not been wonderful. They appointed someone who seems like would be more appropriate for a democratic or more left-leaning administration. But if you look at the people in the Office of Science and Technology Policy in the White House, they're excellent, and there's always different forces in any administration. But again, so far so good. I don't think they should continue the antitrust suit against Google that is looking like it's going against Google, but that's not really the Trump administration, that's the judiciary, and that's been underway for quite some while. So with Trump, it's always very hard to predict. The lack of predictability, I would say, is itself a big problem. But again, if you're looking for one area where it's good, that would be my pick.Eric Topol (23:35):Yeah, well, I would agree with that for sure. I just want to see more evidence that we capitalize on the opportunities here and don't let down. I mean, do you think outlawing selling the Nvidia chips to China is the way to do this? It seems like that hurts Nvidia and isn't China going to get whatever they want anyway?Tyler Cowen (24:02):That restriction, I favored when it was put in. I'm now of the view that it has not proved useful. And if you look at how many of those chips get sold, say to Malaysia, which is not a top AI performer, one strongly suspects, they end up going to China. China is incentivized to develop its own high-quality chips and be fully independent of Western supply lines. So I think it's not worked out well.Eric Topol (24:29):Yeah, no, I see that since you've written so much about this, it's good to get your views because I share those views and you know a lot more about this than I would, but it seems like whether it's Malaysia or other channels, they're going to get the Blackwell chips that they want. And it seems like this is almost like during Covid, how you would close down foreign travel. It's like it doesn't really work that well. There's a big world out there, right?Tyler Cowen (25:01):It's an interesting question. What kind of timing do you want for when both America and China get super powerful AI? And I don't think you actually want only America to have it. It's a bit like nuclear weapons, but you don't want China to have it first. So you want some kind of staggered sequence where we're always a bit ahead of them, but they also maybe are constraining us a bit. I hope we're on track to get that, but I really, really don't want China to have it first.Eric Topol (25:31):Yeah, I mean I think there's, as you're pointing out aptly is a healthy managed competition and that if we can keep that lead there, it is good for both and it's good for the world ideally. But getting back, is there anything you're worried about in AI? I mean because I know you're upbeat about its net effective, and we've already talked about amazing potential for efficiency, productivity. It basically upends a lot of economic models of the past, right?Tyler Cowen (26:04):Yes. I think it changes or will change so many parts of life. Again, it's a bit difficult to specify worries, but how we think of ourselves as humans, how we think of our gods, our religions, I feel all that will be different. If you imagine trying to predict the effects of the printing press after Gutenberg, that would've been nearly impossible to do. I think we're all very glad we got the printing press, but you would not say all of it went well. It's not that you would blame the printing press for those subsequent wars, but it was disruptive to the earlier political equilibrium. I think we need to take great care to do it better this time. AI in different forms will be weaponized. There's great potential for destruction there and evil people will use it. So of course, we need to be very much concerned.Eric Topol (26:54):And there's obviously many of these companies have ways to try to have efforts to anticipate that. That is alignments and various safety type parallel efforts like Ilya did when he moved out of OpenAI and others. Is that an important part of each of these big efforts, whether it's OpenAI, Google, or the rest of them anthropic that they put in resources to keep things from going off the tracks?Tyler Cowen (27:34):That's good and it's important, but I think it's also of limited value because the more we learn how to control AI systems directly, the bad guys will have similar lessons, and they will use alignment possibly to make their AIs bad and worse and that it obeys them. So yeah, I'd rather the good guys make progress on what they're trying to do, but don't think it's going to solve the problem. It creates new problems as well.Eric Topol (28:04):So because of AI, do you think you'll write any more books in the future?Tyler Cowen (28:11):I'm writing a book right now. I suspect it will be my last. That book, its title is Mentors. It's about how to mentor individuals and what do the social sciences know about mentoring. My view is that even if the AI could write the book better than I can, that people actually want to read a book like that from a human. I could be wrong, but I think we should in the future, restrict ourselves to books that are better by a human. I will write every day for the rest of my life, but I'm not sure that books make sense at the current moment.Eric Topol (28:41):Yeah, that's a really important point, and I understand that completely. Now, when you write for the Free Press, which will be besides the Conversations with Tyler podcast and the Marginal Revolution, what kind of things will you be writing about in the Free Press?Tyler Cowen (28:56):Well, I just submitted a piece. It's a defense of elitism. So the problem with our elites is that they have not been elitist enough and have not adhered strictly enough to the scientific method. So it's a very simple point. I think to you it would be pretty obvious, but it needs to be said. It's not out there enough in the debate that yes, sometimes the elites have truly and badly let us down, but the answer is not to reject elitism per se, but to impose higher elitist standards on our sometimes supposed elites. So that's the piece I just sent in. It's coming out soon and should be out by the time anyone hears this.Eric Topol (29:33):Well, I look forward to reading that. So besides a polymath, you might be my favorite polymath, Tyler you didn't know that. Also, you're a futurist because when you have that much information ingested, and now of course with a super performance of AI to help, it really does help to try to predict where we're headed. Have I missed anything in this short conversation that you think we should touch on?Tyler Cowen (30:07):Well, I'll touch on a great interest of yours. I like your new book very much. I think over the course of the next 40 years working with AI, we will beat back essentially every malady that kills people. It doesn't mean you live forever. Many, many more people will simply die of what we now call old age. There's different theories as to what that means. I don't have a lot of expertise in that, but the actual things people are dying from will be greatly postponed. And if you have a kid today to think that kid might expect to live to be 97 or even older, that to me is extremely plausible.Tyler Cowen (30:45):I won't be around to see it, but that's a phenomenal development for human beings.Eric Topol (30:50):I share that with you. I'm sad that I won't be around to see it, but exactly as you've outlined, the fact that we're going to be able to have a huge impact on particularly the age-related diseases, but also as you touched on the genetic diseases with genome editing and many other, I think, abilities that we have now controlling the immune system, I mean a central part of how we get into trouble with diseases. So I couldn't agree with you more, and that's a really good note to finish on because so many of the things that we have discussed today, we share similar views and we come at it from totally different worlds. The economist that has a very wide-angle lens, and I guess you'd say the physician who has a more narrow lens aperture. But thank you so much, Tyler for joining me today.Tyler Cowen (31:48):My pleasure. Let me close by telling you some good news. I have AI friends who think you and I, I'm 63 will be around to see that, I don't agree with them they don't convince me, but there are smart people who think the benefits from this will come quite soon.Eric Topol (32:03):I sure hope they're right.Tyler Cowen (32:05):Yes.*******************************************SUPER AGERS, my new book, was released on May 6th. It's about extending our healthspan, and I introduce 2 of my patients (one below, Mrs. L.R.) as exemplars to learn from. This potential to prevent the 3 major age-related diseases would not be possible without the jumps in the science of aging and multimodal A.I. My op-ed preview of the book was published in The NY Times last week. Here's a gift link. I did a podcast with Mel Robbins on the book here. Here's my publisher ‘s (Simon and Schuster) site for the book. If you're interested in the audio book, I am the reader (first time I have done this, quite an experience!)The book was reviewed in WSJ. Here's a gift linkThere have been many pieces written about it. Here's a gift link to the one in the Wall Street Journal and here for the one in the New York Times .**********************Thanks for reading and subscribing to Ground Truths.If you found this interesting please share it!That makes the work involved in putting these together especially worthwhile.All content on Ground Truths— newsletters, analyses, and podcasts—is free, open-access.Paid subscriptions are voluntary and all proceeds from them go to support Scripps Research. They do allow for posting comments and questions, which I do my best to respond to. Please don't hesitate to post comments and give me feedback. Many thanks to those who have contributed—they have greatly helped fund our summer internship programs for the past two years. Get full access to Ground Truths at erictopol.substack.com/subscribe

In this episode, Gartner Analyst Iliyana Hadjistoyanova discusses key findings from the 2025 Gartner CCO Spend Survey. Communications leaders will get access to a unique dataset that will enable them to pressure-test their investment decision, defend their current budgets and give them the confidence to ask for more resourcing, if needed.Iliyana Hadjistoyanova supports communications leaders in managing their functions and teams. Her research and advisory work covers areas such as strategy building, operating models, governance, measurement, agency management and talent development. She is passionate about helping clients prioritize high-value work and connect it to business goals in clear, measurable ways. 

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Wait. So.... how do you actually use OpenAI's new o3 model? ↳ It's legit agentic. ↳ Can think on its own. ↳ Use multiple tools in sequence. This is not the normal blueprint for how a LLM works. Don't worry -- we got you.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI's o3 Model Introductiono3's Agentic AI CapabilitiesOpenAI's o3 Model Tiers Explainedo3 Model Tools & Features Overviewo3 vs. GPT 4 Benchmarkingo3's Business Use Cases and Demoo3 Model Live Demos & FindingsLarge Language Model Utility in BusinessTimestamps:00:00 "Revolutionizing Business with AI"10:17 "o3 Outperforms Gemini in Benchmarks"15:29 Advertising Deck Overview18:02 "Manual Transcription Needed for Images"22:45 "Automated Search and Retrieval Process"31:59 Analyzing Media Trends with Consultants36:06 AI News Tracking Setup40:25 Podcast Downloads: First 7 Days Focus47:23 AI News & FreshFind Interface48:56 Rethinking Work with AI Influence57:22 Apple Sentiment Impact Analysis01:00:13 Restaurant Price Analysis Tech01:07:08 AI Head-to-Head and CSV UploadKeywords:o3, OpenAI, large language model, agentic AI, GPT-4.1, API, thinking models, transformer model, GPT-4o, chain of thought thinking, reasoning models, Gemini 2.5 Pro, Claude 3.7 SONNET, hybrid models, tool usage, visual input reasoning, image generation, canvas feature, agentic model, autonomous decision-making, third-party benchmarks, LiveBench, artificial analysis intelligence index, MMLU Pro, GPQA Diamond, Humanities Lax exam, LiveCodeBench, SciCode, AI Math 500, business use cases, PDF transcription, computer vision, sentiment analysis, data trends, Python code, interactive dashboard, sentiment tone, online mentions, PR recommendations, interactive canvas, multimodal content.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of the Celebrate Kids podcast, Dr. Kathy addresses a common concern among parents: how to determine when their children are mature enough to handle increased responsibilities and discussions. The episode explores various cultural and societal benchmarks, such as obtaining a driver's license, voting, and military registration, that signal a transition into adulthood. Dr. Kathy provides insights on how parents can initiate conversations that foster understanding and growth in their children, helping them to embrace their identities and responsibilities as they mature. Additionally, listeners are introduced to Summit Ministries, a valuable resource for shaping young minds and addressing significant life questions, with information on summer camps available for high school and college students. Tune in to gain practical advice on parenting and guiding your children through their developmental stages.

How AI Can Improve Performance Leveraging RCM Benchmarks Stuart Newsome, VP of RCM Insights, breaks down the fundamentals of benchmarking in revenue cycle management, including key metrics like net days in A/R and clean claim rates. Learn how AI and automation tools can help healthcare organizations go beyond analytics to drive performance, identify gaps, and enable continuous improvement. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

Sean Houchins-McCallum is the top-ranked climber on the Tension Board 2. We talked about growing up in Iowa, his obsession with board climbing, his insane training schedule, his ultimate board project, why we haven't seen V15+ on the boards, projecting tactics, how changing his diet allowed him to jump up two grades, his home made pre-workout, TB2 vs. outdoor bouldering, dream lines, and much more.Rúngne:rungne.info/nuggetUse code “NUGGET” for 10% off storewide.Arc'teryx:Women's climbing clothingMen's climbing clothingCheck out the NEW Kragg Collection.Maui Nui Venison:mauinuivenison.com/NUGGETThe healthiest red meat on the planet. Wild harvested and responsibly sourced. Mad Rock:madrock.comUse code “NUGGET10” at checkout for 10% off your next order. Become a Patron:patreon.com/thenuggetclimbingWe are supported by these amazing BIG GIVERS:Michael Roy and Mark and Julie CalhounShow Notes:  thenuggetclimbing.com/episodes/sean-houchins-mccallumNuggets:(00:00:00) – Intro(00:01:16) – Unsynthesized(00:04:50) – Sending every classic in 4 months(00:07:02) – Limit projects every day(00:09:31) – Sean vs. Noah Wheeler(00:11:36) – Is boarding its own sport?(00:16:04) – Becoming a board climber(00:17:30) – Sean's ultimate board proj (You've Seen the Butcher at 65º)(00:19:10) – Board tactics(00:21:28) – Why aren't there V15s or harder on boards?(00:26:14) – Getting outside(00:27:45) – Sean's dimensions(00:29:24) – Sean's warms up(00:34:07) – A typical week(00:36:52) – Sean's projecting tactics(00:40:42) – 2 months on(00:46:52) – Does Sean train his strengths?(00:54:20) – Sean's weaknesses(00:57:19) – The Spray layout(01:01:41) – TB1 vs. TB2(01:02:49) – Mirroring climbs & the leaderboard(01:07:05) – Intimidating holds on the TB2(01:10:19) – Go-to shoes(01:11:36) – Working & setting(01:17:11) – Outdoor goals(01:18:55) – Jumping up 2 grades after changing his diet(01:26:52) – TB2 vs. outside(01:31:57) – New board companies(01:34:59) – Sport climbing feature(01:38:59) – Dream lines(01:40:17) – Rapid fire questions(02:00:53) – How Low Can You Go?

Think making more money means hustling for more clients? Think again.

In this episode Anna explores the contentious topic of ZK benchmarking with Conner Swann, founder of ProofLab. Drawing parallels with AI's development, they explore how tools like ProofLab could help standardize benchmarking across dimensions like speed, cost, and security. The conversation touches on the importance of formal verification and real-world workload testing, while considering how better benchmarking could accelerate ZK adoption and potentially lead to ZK's own 'ChatGPT moment' Related links: zkSummit The Zero-Knowledge Community Survey NoirHack Noir ethProofs Designing Optimistic Interoperability with Nomad Trusted Setup Ceremonies Explored Anna's Post on Benchmarking The path to secure and efficient zkVMs: How to track progress Ben Fisch on Limiting Factors of Verifiable Compute ZKarnage Further reading: Celo Espero ceremony ZKVM Benchmarking The same thing that happened to AI is Happening to ZK Applications for zkSummit13 are open, spots are limited for this edition so apply soon (www.zksummit.com) if you want to join. ZK is finally easy with Noir, the fastest-growing zero-knowledge programming language. Build privacy-preserving apps without any ZK experience. Aztec Labs is running a 4 week program,...

These seems attainable.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

OpenAI mighta just killed Photoshop (as we know it). ☠️Microsoft released reasoning agents that are unmatched.