Podcasts about Intelligence

Why did intelligence evolve in the universe? Neil deGrasse Tyson, Chuck Nice, and Gary O'Reilly explore the nature of intelligence, information theory, consciousness, and whether AI is actually intelligent at all with David Krakauer, evolutionary biologist and president of the Santa Fe Institute.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/what-is-intelligence-with-david-krakauer/Thanks to our Patrons Vipin Sharma, Saahith, Matthew Rapp, Billy Durr, Gail Lena Martin, Mads Holm, Mothman's Coroner, Nicholas Strang, Cirwintech - Christopher M. Irwin, Jacqueline West, Casey Gatti, Clem Carlos Schermann, Samuel Jeffman, John Lasher, Shelley Collett, Aerimis, Anthony Schneider, Lolo, Mark M., kegler718, Hayden Scheibe, J Miller, Mark Ulibarri, Mandy Lauber, John McQuiston, Don, Olivier d'Entremont, Shaun Carter, Andres Chavez, Joshua Perks, JonRueben Bubar, Marlin Mark, Michael Lee, Ash Morris, Nate, Bobby Williams, DeborahD, Ciprian Bobe, David Bailey, Boop Doop, Amirali Rabiee, jessie miller, Liva Apse, Jesse, NATE LUKAS, Chris Archer, Keith H., and Huchel for supporting us this week. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Vagus Nerve Stimulation Improves Cognitive Scores in a Small Trial In a 24-week trial involving people with mild cognitive impairment, participants assigned to electrical stimulation at vagus-innervated parts of the ear improved by an average of 3.2 points on a general cognitive test, compared with 0.3 points in a sham-stimulation group. Host Dave Asprey explores the proposed connection between the vagus nerve and the locus coeruleus, a brainstem region involved in attention and learning. He explains why an improved test score is intriguing but does not show that vagus nerve stimulation prevents Alzheimer's disease—or that a consumer device will reproduce the study's results.pubmed.ncbi.nlm.nih+1 Sources: https://pubmed.ncbi.nlm.nih.gov/36150665/ https://pmc.ncbi.nlm.nih.gov/articles/PMC13214873/ https://theconversation.com/vagus-nerve-stimulation-shows-promise-as-a-way-to-counter-alzheimers-disease-and-age-related-memory-loss-269465 ~~~Nearly 500 Cat Tumors Reveal Cancer Genes Shared With Humans Researchers analyzed 493 matched tumor and normal-tissue samples across 13 types of cancer in domestic cats. They found alterations in genes familiar to human cancer researchers, including TP53, and tested whether a mutation called FBXW7 might predict drug sensitivity in lab-grown models of feline mammary tumors. Host Dave Asprey examines why naturally occurring cancers in pets could help scientists investigate treatments across species, while making clear that a promising response in six laboratory tumor models is not a proven treatment for cats or people.pmc.ncbi.nlm.nih Sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC7618901/ https://pubmed.ncbi.nlm.nih.gov/41712721/ https://www.sciencedaily.com/releases/2026/09/260924231826.htm ~~~Twin-Family Study Challenges a Simple Explanation for Inherited Intelligence Why do parents and children often score similarly on tests of cognitive ability? Researchers using Germany's TwinLife data found that genetic transmission explained more of that resemblance than the particular shared-home-environment pathway their model tested. Host Dave Asprey unpacks the distinction between why relatives resemble one another and whether a child's environment matters. The study does not show that parenting, education, or other experiences have no effect on cognition.pub.uni-bielefeld+1 Sources: https://pub.uni-bielefeld.de/record/2993432 https://www.psypost.org/genetics-not-shared-environments-drives-parent-child-similarities-in-cognitive-ability/ ~~~Mulberry Compounds May Change Gut Bacteria and Metabolism A review of mulberry research highlights how leaves, fruit, and differently processed extracts contain distinct mixtures of compounds that gut microbes may use. In mouse experiments, a fraction combining mulberry polyphenols and polysaccharides produced more favorable microbiome and metabolic changes than either fraction alone; transferring microbes from treated mice passed along some of those effects. Host Dave Asprey explores the idea that a plant extract's preparation may matter as much as its name—and why the findings do not yet establish a microbiome benefit from mulberry products in humans.pmc.ncbi.nlm.nih+1 Sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC13406227/ https://www.sciencedaily.com/releases/2026/09/260928100551.htm ~~~Magnesium Changes Vitamin D Metabolism—But Not Always in the Same Direction Magnesium helps regulate the pathways that process vitamin D, but “more magnesium means more vitamin D” is too simple. In a 12-week randomized trial involving 180 adults, magnesium supplementation changed a measured vitamin D metabolite differently depending on participants' starting vitamin D levels: the modeled difference was positive at 30 ng/mL and negative at 50 ng/mL. Host Dave Asprey explains why this matters to people tracking supplement stacks and bloodwork, while distinguishing a change in a lab marker from a demonstrated health benefit.pubmed.ncbi.nlm.nih+1 Sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC6693398/ https://pubmed.ncbi.nlm.nih.gov/29480918/ https://www.sciencedaily.com/releases/2018/02/180226122548.htm This episode is designed for biohackers, longevity enthusiasts, pet owners, parents, and anyone trying to separate a compelling biological mechanism from a proven health intervention. Host Dave Asprey examines brain stimulation and memory, what cat cancers could teach human researchers, how genes and environment contribute to cognitive similarity, whether mulberry's microbiome effects translate beyond mice, and why nutrient interactions are rarely as simple as a supplement headline suggests. Several studies discussed here predate this week's coverage; this is a research roundup, not a list of five newly published trials.pmc.ncbi.nlm.nih+4 New episodes every Tuesday, Thursday, Friday, and Sunday. Keywords: vagus nerve stimulation memory, auricular vagus nerve stimulation, mild cognitive impairment, Alzheimer's research, locus coeruleus, cat cancer genetics, feline oncogenome, FBXW7 feline mammary cancer, comparative oncology, parent child cognitive ability, TwinLife cognitive ability study, intelligence genetics, shared environment cognition, mulberry gut microbiome, mulberry polyphenols polysaccharides, microbiota transfer mice, magnesium vitamin D metabolism, magnesium supplementation vitamin D, biohacking research roundup Thank you to our sponsors! - Butcher Box | Go to ButcherBox.com/HUMANUPGRADE to get $20 off your first box, plus your choice of free ground beef for life, or free chicken thigh - Beyond Wonderland Conference | Oct 13 - 14, 2026. Get your ticket now at wonderlandconference.com. - The One Device | Use code DAVE for $10 off at theonedevice.com/dave - iRestore | Unlock your best hair & skin with @iRestorelaser and HUGE savings on iRESTORE with code DAVE at irestore.com/DAVE Resources: • Get My 2026 Clean Nicotine Roadmap | Enroll for free at https://daveasprey.com/2026-clean-nicotine-roadmap/ • Get My 2026 Biohacking Trends Report: https://daveasprey.com/2026-biohacking-trends-report/ • Dave Asprey's Latest News | Go to https://daveasprey.com/ to join Inside Track today. • Danger Coffee: https://dangercoffee.com/discount/dave15 • My Daily Supplements: SuppGrade Labs (15% Off) • Favorite Blue Light Blocking Glasses: TrueDark (15% Off) • Dave Asprey's BEYOND Conference: https://beyondconference.com • Dave Asprey's New Book – Heavily Meditated: https://daveasprey.com/heavily-meditated • Join My Substack (Live Access To Podcast Recordings): https://substack.daveasprey.com/ • Upgrade Labs: https://upgradelabs.com Timestamps: 00:00 — Intro 00:18 — Vagus Nerve 01:51 — Cat Cancer 03:53 — Genetics & Parenting 05:46 — Mulberries 07:43 — Magnesium & Vitamin D 09:25 — Takeaway See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

If Artificial Intelligence results in job losses or lower salaries, government revenues will fall. Our correspondent explains how best to tax the windfalls from AI. Paint is a surprisingly cheap way to cool buildings. And remembering the life of Stanislas Hutin, who revealed France's barbarity in Algeria.Watch extended clips from Insider hereGuests and host:Callum Williams, senior economics writerNikita Ostrovsky, science writerAnn Wroe, obituaries editorRosie Blau, co-host of “The Intelligence”Topics covered: AI, tax, wealth tax, consumption taxClimate change, paint, adaptationStanislas Hutin, Algeria, France, war crimesListen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

If Artificial Intelligence results in job losses or lower salaries, government revenues will fall. Our correspondent explains how best to tax the windfalls from AI. Paint is a surprisingly cheap way to cool buildings. And remembering the life of Stanislas Hutin, who revealed France's barbarity in Algeria.Watch extended clips from Insider hereGuests and host:Callum Williams, senior economics writerNikita Ostrovsky, science writerAnn Wroe, obituaries editorRosie Blau, co-host of “The Intelligence”Topics covered: AI, tax, wealth tax, consumption taxClimate change, paint, adaptationStanislas Hutin, Algeria, France, war crimesListen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

Jon Campbell, Albany reporter for WNYC and Gothamist talks about the relationships that Gov. Hochul and Nassau County Executive Bruce Blakeman have with President Trump.Photo: US President Donald Trump greets New York Republican gubernatorial candidate Bruce Blakeman on stage as he delivers remarks at the Nassau County Police Academy Center for Training and Intelligence in Garden City, New York, on August 14, 2026. (Kent Nishimura via Getty Images) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

New skills that become more important in an AI world, the cost of living, and winning the lottery. This episode is brought to you by Davis Advisors. To learn more, visit https://www.davisadvisors.com/. Before investing, you should carefully consider the investment objectives, risks, charges, and expenses. The prospectus or Form ADV, as applicable, contains this and other information. You can obtain a current prospectus or Form ADV by calling 800-279-2279. Investing involves risks including possible loss of principal.

Lisa Liapakis, founder of UNIQ, shares her 32 years of multifamily property management experience, insights on operational strategies, and her innovative property intelligence platform. Discover how her background and new venture aim to revolutionize real estate management and investment.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind: Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership: Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright: Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform! Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Russia has embarked on a new campaign to quell Ukraine, focused on supermarkets, playgrounds and other civilian targets. Our correspondent reports on the toll on daily life in Kyiv. Despite the backlash against “pervert glasses”, companies continue to develop AI-enabled smart specs. And how the pen changed history.Guests and host:Oliver Carroll, Ukraine correspondentHenry Tricks, US technology editorCatherine Nixey, Britain correspondentRosie Blau, co-host of “The Intelligence”Topics covered: Ukraine, Kyiv, civilian targetsSmart glasses, Meta, pervert glasses Fountain pen, Simon Garfield Listen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

Russia has embarked on a new campaign to quell Ukraine, focused on supermarkets, playgrounds and other civilian targets. Our correspondent reports on the toll on daily life in Kyiv. Despite the backlash against “pervert glasses”, companies continue to develop AI-enabled smart specs. And how the pen changed history.Guests and host:Oliver Carroll, Ukraine correspondentHenry Tricks, US technology editorCatherine Nixey, Britain correspondentRosie Blau, co-host of “The Intelligence”Topics covered: Ukraine, Kyiv, civilian targetsSmart glasses, Meta, pervert glasses Fountain pen, Simon Garfield Listen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

We get into the new decree from Trump that “artificial intelligence” is now called “super intelligence” – it sounds less fake and more powerful — and the broader currents of tech advice and policy in the Trump administration. Then we discuss how OpenAI and Anthropic are behaving like rogue agents, who are also irresponsible and incompetent to a degree that should be unbelievable. ••• Trump says the US is officially renaming AI to ‘super intelligence' https://www.theverge.com/ai-artificial-intelligence/998816/donald-trump-ai-super-intelligence ••• OpenAI Has Gone Rogue https://www.theatlantic.com/technology/2026/09/ai-hacks-infestation/688806/ Standing Plugs: ••• Order Jathan's book: https://www.ucpress.edu/book/9780520398078/the-mechanic-and-the-luddite ••• Subscribe to Ed's substack: https://substack.com/@thetechbubble ••• Subscribe to TMK on patreon for premium episodes: https://www.patreon.com/thismachinekills Hosted by Jathan Sadowski (bsky.app/profile/jathansadowski.com) and Edward Ongweso Jr. (www.x.com/bigblackjacobin). Production / Music by Jereme Brown (bsky.app/profile/jebr.bsky.social)

Kevin Werbach speaks with Robert Levitan, Chair of the Ethical Tech Project, about what the early internet can teach companies deploying AI today. Levitan, who helped build iVillage and Flooz.com in the dot-com era, argues that the central lesson of those years is that new technologies always carry unintended consequences. Moving fast and breaking things is untenable, he says, now that AI sits on top of the internet and mobile. Levitan explains his essay comparing a coming AI disaster to the 1911 Triangle Shirtwaist Factory fire, which spurred workplace safety laws and helped shape the New Deal. He expects a comparable AI catastrophe to trigger regulation, and urges executives not to wait for it. Trust is a competitive advantage, he argues, and litigation will arrive much faster than it did for the internet. The conversation closes with why Levitan remains an optimist despite the risks, pointing to healthcare's ethical framework and guardrails as a model for other industries. Disclosure: Kevin Werbach is an advisor to the Ethical Tech Project. Over thirty years, Robert Levitan has founded, scaled, and advised companies including iVillage, Flooz.com, and Pando Networks, and his recent work focuses on the societal impacts of AI. He studied history and public policy in college and describes himself as a serial entrepreneur whose ventures have ranged from a high-profile IPO to a high-profile bankruptcy to a private sale to Microsoft. Transcript Our AI Triangle Shirtwaist Moment Is Coming. Don't Be the Factory Owner (LinkedIn) Pulse 2.0 interview with Levitan

Jason Speck, recently retired FBI Supervisory Intelligence Analyst and professor with UVU's Center for National Security Studies, joins the podcast to discuss his career and experiences in intelligence and counterterrorism. He shares insights from his work around the world, explores how terrorism and national security threats continue to evolve, and offers advice for students interested in careers in intelligence and national security.

COLOMBO AND COMPANY 0:00 SEG 1 15:22 SEG 2 Mike McClary - SI Expert Mike McClary is now an S.I. expert—thanks to President Trump’s renaming of artificial intelligence to super Intelligence. He joins Tony for an in-depth discussion about the latest developments, including the emergence of OpenAI’s Dots: proactive assistants designed to manage complex projects and everyday tasks. https://www.intervine.com/ 34:01 SEG 3 Virginia Kruta Virginia and Tony discuss Pete Hegseth's new "mega base," a pitch-off competition where governors and state adjutant generals compete to host the "Next Great American Base"—the first major U.S. military installation built in decades. FOLLOW TONY - https://x.com/tonycolombotalk 24/7 LIVESTREAM - http://bit.ly/NEWSTALKSTLSTREAMS RUMBLE - https://rumble.com/NewsTalkSTL See omnystudio.com/listener for privacy information.

☀️https://linktr.ee/thedarkmattershow❌MARKS THE SPOT™ AUDIT Pilot Oppt Expires 11/11****The NCGR Spotlight Link Video on YoutubeThe NCGR IG Livestream on IG (different from YT video)

The following article of the Mobility industry is: “Prevention at the Core of Mexico's Supply Chains” by Luis Villatorio, Director of Intelligence and Security LATAM, Overhaul. (AA2692)

An independent commission has found Manchester City guilty of breaching over 100 rules. What penalty will the Premier League exact? Russia's increasingly brazen attempts to provoke and undermine Europe. And why cute Chiikawa, star of a Japanese blockbuster, gives comfort in anxious times. Subscribers can listen to “Kidulting” on “The Weekend Intelligence”Guests and host:Sonny Loughran, Britain correspondentJonathan Rosenthal, international correspondentMoeka Iida, East Asia reporterRosie Blau, co-host of “The Intelligence”Jason Palmer, co-host of “The Intelligence”Topics covered: Man City, Abu Dhabi, Premier LeagueRussia, Europe, grey-zone, droneChiikawa, kawaii, mangaListen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

An independent commission has found Manchester City guilty of breaching over 100 rules. What penalty will the Premier League exact? Russia's increasingly brazen attempts to provoke and undermine Europe. And why cute Chiikawa, star of a Japanese blockbuster, gives comfort in anxious times. Subscribers can listen to “Kidulting” on “The Weekend Intelligence”Guests and host:Sonny Loughran, Britain correspondentJonathan Rosenthal, international correspondentMoeka Iida, East Asia reporterRosie Blau, co-host of “The Intelligence”Jason Palmer, co-host of “The Intelligence”Topics covered: Man City, Abu Dhabi, Premier LeagueRussia, Europe, grey-zone, droneChiikawa, kawaii, mangaListen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

On this episode of Vitality Radio, Jared closes out the Intelligence of Symptoms series by looking at fatigue, water retention, depression, and anxiety through a different lens. Could these symptoms be signals that the body is asking for something rather than problems that simply need to be suppressed? Jared explores the roles of sleep, chronic stress, screen time, circadian rhythm, electrolytes, digestion, nutrition, and the gut-brain connection. He also examines the long-standing chemical imbalance theory of depression, discusses MTHFR and folic acid metabolism, and shares Jen's personal experience with mental health and nutrition. The goal is not to ignore serious symptoms, but to ask better questions about what may be driving them and how supporting the body's normal function can help restore resilience.Additional Information:***Watch for all 4 parts of this series on Symptoms!671: Are We Medicalizing the Human Experience? with Dr. Roger McFillinVisit the podcast website here: VitalityRadio.comYou can follow @vitalitynutritionbountiful and @vitalityradio on Instagram, or Vitality Radio and Vitality Nutrition on Facebook. Join us also in the Vitality Radio Podcast Listener Community on Facebook. Shop the products that Jared mentions at vitalitynutrition.com. Let us know your thoughts about this episode using the hashtag #vitalityradio and please rate and review us on Apple Podcasts. Thank you!Just a reminder that this podcast is for educational purposes only. The FDA has not evaluated the podcast. The information is not intended to diagnose, treat, cure, or prevent any disease. The advice given is not intended to replace the advice of your medical professional.This podcast is produced by DrTalks.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://drtalks.com/channel-growth

What if intelligence never needed a body? AI speaks without flesh. The paranormal allegedly does the same. Different worlds. Same ugly question: WHO—or WHAT—is behind the signal? We tear into consciousness, entities, machines, deception and the interface between them. Maybe the body was never the intelligence. Maybe it was only the vessel. #LOOKITUP! Read that again.BENNETT TANTON BOOKSBROADCASTING SEEDS LINKSDUDES LIVES MATTER T_SHIRT -USE CODE #LOOKITUP BUY THE LIMINAL TREES BOOK NOW ☂️☂️☂️ALERT OPERATIONS: CRYPTID WARFARE // // GET 15% OFF AT CHECK OUT USING "PARANOI" at FLAVORS OF THE FORESTTHE TREBLES SHOWStay humble but don't you dare be invisible. 

Three months ago Dwarkesh, who has been posting incredible blogs and episodes about RL, posted a framing question for his video essay on RLVR which upset a lot of Computer Use folks:We are no strangers to learning in public and are no strangers to the stress of getting things wrong when you have a big platform. However, we were at Anthropic for the Computer Use launch, there for Claude Cowork with the first big podcast on it, organized the first Computer Use track at AIE presenting the state of the art, and were close to the OpenAI-Sky Software acquisition that now powers the complete domination of computer use that Codex enjoys today. This is why we're excited to bring you today's first guest, Ari Weinstein, cofounder of Sky and now leading all the amazing CUA progress that casuals might miss:Ari explains why Computer Use is now “180 degrees different” from where it was months ago, how agents are learning to debug and recover from failures, why combining screenshots with accessibility data, the DOM, Playwright, and generated code changes the speed equation, and why the next frontier is making agents literally superhuman at using software.OpenAI clones JevIn the second half, Nikunj Handa from OpenAI's API team breaks down the new developer stack: async tool calling, mid-turn steering, WebSockets, UltraFast inference, the Decisions API, prompt caching, pre-warming, compaction, and the Agents API. Given that we were the first Jev podcast, we particularly focus on the unusually fast sprint on the Decisions API:And why it is just a Luna wrapper for now but the team is motivated and egoless enough to clone what they consider to be good patterns.We discuss:* Why OpenAI thinks Computer Use has changed dramatically in just the last few months* Dots and what changes when every agent gets its own Linux computer* Why Computer Use can now complete some tasks faster than the average human* The path from human-level to “literally superhuman” computer use* Why modern agents are much better at debugging and recovering from failure* How screenshots, accessibility trees, the DOM, Playwright, and generated JavaScript work together* App Shots and why they give models much richer context than ordinary screenshots* Why Computer Use can close the loop between writing software and testing it* Trust, permissions, and safety when agents can make payments and operate websites* Async function calling and why models no longer need to stop reasoning while tools run* Mid-turn steering, WebSockets, and the architecture behind more responsive agents* UltraFast inference and how OpenAI is pushing frontier models toward much lower latency* The rapid internal story behind the Decisions API* Why Decisions API is more than structured outputs at low latency* GPT Live, fast tool calling, and real-time computer control* How OpenAI is already using Decisions API for support classification and internal workflows* Longer prompt caching, cache pre-warming, and cache-aware applications* Server-side compaction vs manual compaction for long-running agent threads* What should live inside an Agents API versus a developer's own harness* OpenAI as an “AI cloud” and the search for higher-level primitives beyond raw model APIsAri Weinstein* Product & Engineering, Computer Use at OpenAI* X: https://x.com/AriX* LinkedIn: https://www.linkedin.com/in/weinsteinari/Nikunj Handa* Product, API at OpenAI* X: https://x.com/nikunjhanda* LinkedIn: https://www.linkedin.com/in/nikunjhanda/Timestamps00:00:00 OpenAI DevDay: Dots, GPT-6.1, Agents API, and Decisions API00:02:52 Dots and Personal Cloud Computers00:04:59 Why Computer Use Is “180 Degrees Different”00:06:04 From Sky to Self-Debugging Computer Use Agents00:09:24 How Computer Use Sees and Operates Software00:12:09 From Faster Than Humans to Superhuman Computer Use00:16:03 Agents API: Trust, Permissions, and Safety00:17:31 Computer Use for Coding, Testing, and QA00:19:14 GPT-6 APIs, Async Tool Calling, and UltraFast Inference00:23:21 The Rapid Story Behind Decisions API00:25:32 What Decisions API Is and How It Works00:30:24 What OpenAI Is Building With the New APIs00:32:23 Prompt Caching, Pre-Warming, and API Performance00:35:20 Context Compaction for Long-Running Agents00:37:13 Memory, Higher-Level APIs, and the AI CloudTranscriptIntroduction: OpenAI DevDay and the New Agent StackVibhu [00:00:00]: Okay. We're very excited to be here. Today is OpenAI DevDay. Special podcastSwyx [00:00:08]: We're the first podcast after your livestream.Vibhu [00:00:10]: First podcast. We have Ari here, who leads the product and engineering team for Computer Use agents. Before we kick in and dive deep on Computer Use, you wanna give a quick recap? What was announced? What's the quick slew of announcements you guys had today?Ari Weinstein [00:00:24]: Yeah. yeah, it was a super exciting day. we just got out of the keynote. It was really sick. there were a bunch of Computer Use announcements that I think are worth thinking about. We have, Dots, which is the new, sort of personal assistant product, and, that has some really exciting Computer Use features. There's GPT-6.1 Sol, which is this amazing new model, that I think is particularly great for Computer Use ‘cause of, sort of the cost and speed, advantages. I think, I think we shared that it's, a fifth of the cost of Astra and a seventh of the cost if you're looking at Computer Use specifically, which is really amazing. sorry, there were so many things. I'm trying to sort through it.Swyx [00:01:02]: And the API.Ari Weinstein [00:01:03]: Agents API, which now has Computer Use in it, which is really cool, ‘cause now developers can build on the same Computer Use, that is part of Codex, and ChatGPT. and then there were some demos of our existing Computer Use features, like app shots, where you can take the context of something you're doing on your computer and bring it into Codex and ChatGPT really fast. And then, like, native Computer Use on your Mac, where Roman had it taking screenshots of his app, automatically, and he could do other things on his computer while Computer Use was using his applications. so yeah, really exciting keynote.Swyx [00:01:35]: And not to mention the Decisions API.Ari Weinstein [00:01:37]: Decisions API.Swyx [00:01:38]: Off the bat, are they all the same model? Like, this is. Or the same dataset distilled to different models?Swyx [00:01:44]: Like, basically, like, is Computer Use using Decisions API, or are they, like, kinda separate?Ari Weinstein [00:01:49]: So what's really cool about the Decisions API is it, you know, it has all these new capabilities. It does inference in parallel. it doesn't have reasoning. It's a smaller model, than the ones we use for Computer Use. and so those capabilities make it really fast.Dots and Delegating Work to a Cloud ComputerSwyx [00:02:07]: Yeah.Ari Weinstein [00:02:07]: They also make it a little bit less good at doing, like, long horizon, sort of sophisticated tasks. And so I think I would say it's still an open area of research for how we, like, bring those approaches together. But, yeah, I'm really excited to see what people build with the Decisions API.Vibhu [00:02:24]: One of the interesting things is Dots now have attached personal computers.Ari Weinstein [00:02:28]: Yeah.Vibhu [00:02:28]: So it seems like they're very much more persistent. You've been using them for a while. How should people push the bounds? Like, what should people aim for? What should they try? Personally, right now I use it for a lot of customer service. LikeAri Weinstein [00:02:41]: CoolVibhu [00:02:41]: “Oh, this was wrong. I don't wanna sign in. I don't wanna authenticate.” Find whatever and just get it fixed.Ari Weinstein [00:02:45]: Yeah.Vibhu [00:02:46]: How should we push further? What should people try?Ari Weinstein [00:02:50]: Dots Are a really cool product because each Dot has access to its own Linux virtual computer in the cloud, which is different from our other products. you know, traditionally, we've have access to a browser in the cloud, or it has access to your own computer, but now you get your own entire Linux computer in the cloud. And so it can run full desktop applications, and it can also use a web browser. And so, yeah, you know, I think the powerful thing about Computer Use and the reason why I think it's so, exciting is because it makes it so that the agent can do anything you as a, as a person can do, because all the software in the world was designed for humans, and now agents can use that same software, and you can delegate to the agent. So, yeah, like, anything that you would do on a computer, you can ask a Dot to do. Yeah, I think what particularly is useful is gonna really depend on who the end user is and what- what's valuable in their life. but yeah, I would just start by thinking about, like, one of the things that you spend time on and how could you delegate those to an agent.Swyx [00:03:47]: Yeah, a lot of flight booking and shopping and honestly even, like, playing a game or whatever, right?Ari Weinstein [00:03:52]: Totally.Swyx [00:03:52]: Yeah.Ari Weinstein [00:03:53]: Yeah, I don't know. For me, something I did recently, I've been working on. I've, subscribed to a meal prep service ‘cause I was trying to, like, eat healthy, you know? And I really like this meal prep service I found because it lets me customize the meals I order to, like, a high degree of granularity. So I can say, like, “I want this many grams of chicken and this many grams of rice.” but it was so complicated. It took me two hours to do an order, and I found that I could ask Computer Use to do it for me, and it did it in 15 minutes. so I actually saved two hours. it both did it eight times faster than I could, and it saved me two hours on GPT-6.1 Sol.Swyx [00:04:32]: Yeah.Ari Weinstein [00:04:32]: So those are the kinds of tasks that I feel like, are really powerful.Swyx [00:04:36]: As a creator, I can tell you automatically, immediately, my number one use case is automating YouTube.Ari Weinstein [00:04:40]: Nice.Swyx [00:04:40]: Because, YouTube doesn't expose a lot of things via API.Ari Weinstein [00:04:43]: Yeah.Swyx [00:04:43]: And you have to just put it in a VM and just, like, run it, for, like, let's say, let's say their AB testing feature or making community posts. None of this is available by API ‘cause they hate developers.Swyx [00:04:53]: Anyway, so,Ari Weinstein [00:04:55]: I've heard that from our developer experience team too. They use it with YouTube a lot. Yeah. It's really awesome.Swyx [00:04:59]: So I wanna draw for, you know. let's say, I wanna get a little bit spicy. One of our, the leading AI podcasts, our friends, is famous for saying that Computer Use hasn't advanced in the last two years.How Computer Use Has Changed in the Last YearAri Weinstein [00:05:12]: Yeah.Swyx [00:05:13]: Which is a very interesting statement, and I think you're one of the best people in the world to talk about this, like, how have things have progressed, right?Ari Weinstein [00:05:20]: Yeah. You know, they said that a few months ago, I think, and I hope they have a different perspective now because Computer Use is, like, 180 degrees different than it was.Swyx [00:05:26]: He's a, he's a tough guy to impress.Ari Weinstein [00:05:27]: Yeah, okay. well, we're working on it.Swyx [00:05:30]: But, you know, you worked on. You've, like, basically spent your whole career working on, like, some kind of computer automation, right?Ari Weinstein [00:05:34]: Yeah.Swyx [00:05:34]: Like shortcutsAri Weinstein [00:05:35]: YeahSwyx [00:05:35]: At Apple, and then Sky, and then, and then joining OpenAI. Can you draw, like, what your through line is for, like, what is driving you and what- you, what wasn't possible back then maybeAri Weinstein [00:05:47]: Yeah.Swyx [00:05:48]: And, like, what your sort of milestones were.Vibhu [00:05:49]: I guess to add on to that as a follow-up question, what's the major change from using Codex Computer Use from, like, last weekAri Weinstein [00:05:57]: YeahVibhu [00:05:57]: Through to today? Is it model? Is it dots? Is it harness? So all the history plus what really just changed in today's announcements?Ari Weinstein [00:06:04]: Yeah. On the through line, I guess I've always been excited about automation and helping people automate tasks because then you can, like, save time in your life and focus on things that are more important to you than, like, operating a computer very intricately. And so, yeah, that was why we worked on some of those products. I was at Apple before. we made a company called Sky. we ended up joining OpenAI, which is really exciting. and I think something that wasSwyx [00:06:27]: And almost like you have to hack around Apple until Apple was like, “Fine, like, we'll just hire you and you can just work on the inside,” right? Like.Ari Weinstein [00:06:35]: It was, it was a cool place to get to work. what was really interesting looking back at Sky is we were, we were working on Computer Use there as well, and the models were so much less capable. And now the models, just in the last one year, have become extraordinarily capable at Computer Use. I think the biggest delta that I see is before they could, like, reliably start tasks, but then they would run into problems, and now they're really good at debugging. They're really good at trying again, introspecting what is and isn't working. and I think we've also brought the Computer Use the Computer Use field itself has moved forward. I think we're using more techniques. now Computer Use, often writes code. So if you actually look at it in Codex and you expand the tool calls manually, you can see that it's not just doing one action at a time. It's actually writing JavaScript code that it executes, that the computer executes to perform sometimes many actions at once, which is a great, you know, speed up and great capability. We use more accessibility, sort of multimodal interfaces. So, the model may use screenshots, it may use accessibility, it may use Playwright. it can use a lot of different mechanisms, based on the task at hand. and then, yeah, the model acceleration has been, has been just amazing. So, yeah, what's different today? I think we're making computers better all the time, so I think just, like, one day's difference, is probably a little bit less consequential than, like, even the past month or the past two months. but, yeah, I think the Computer Use in Dot is really exciting as well as, the new model that we came out with.Measuring Computer Use and Improving the HarnessVibhu [00:08:03]: On the keynote, Tejal was mentioning 7x improvements in Computer Use speed, a lot better on a few benchmarks. How do you guys think about measuring it? Computer Use is one of those things where, as you say, you know, it's improvements over time.Ari Weinstein [00:08:20]: Yeah.Vibhu [00:08:20]: Is it harness? Is it model? Is it post-training?Ari Weinstein [00:08:22]: Right.Vibhu [00:08:22]: How do you guys look at it internally about measuring how good it is, and what were the changes with the new model?Ari Weinstein [00:08:29]: We actually have a bunch of different ways of measuring it, some of which are on different permutations and configurations of the harness. It's a bit of a complicated story because, you know, our production products have, you know, some more safety checks, and, you know, those are configured differently based on the needs of the, of the task at hand. So there's a lot of ways to measure it, but I think regardless of how we measure it, we find pretty consistent gains. and those gains are, sometimes in the harness and sometimes in the model. and yeah, I was really excited by this result that GPT-6.1 is even more cost-effective for Computer Use than its baseline cost improvement as compared to Astra. It's, like, really cool to see.Swyx [00:09:10]: Yeah. I mean, one of the visuals I really liked from the livestream was that, you're sort of improving the Pareto frontier of, your, curve, and there was a lot of talking about how you're improving it together with the harness.Ari Weinstein [00:09:24]: Yeah.Swyx [00:09:24]: Can you give some examples of aha moments that you had, whether it's on, like, model driving the harness driving the model, whatever?Ari Weinstein [00:09:32]: I don't mean to repeat myself, but I think, like, introducing more modalities has been really powerful.Swyx [00:09:36]: Okay.Ari Weinstein [00:09:36]: One more specific example of that is, in the past, I think we saw a lot of Computer Use, products had to spend a lot of time, like, scrolling, you know? So it would, like, take a screenshot. It would try to do something. It would be like, “Oh, I gotta, like, scroll down to the next page of results,” and then it would take a screenshot, and then it would try to do something. It would scroll down again. And so I think, with accessibility and other. and, direct access to the DOM and other things like that, now the language model can actually see, like, an entire page or an entire application. It can write code that can do multiple steps at once. And so I think those have been probably the biggest single aha moments. There's, like, a lot of tiny ones that are less exciting in comparison, but actually we do find also that a lot of speed improvements are driven by, like, a lot of little paper cuts that we gotta go in and introspect.App Shots, Accessibility, and Better Computer ContextSwyx [00:10:21]: Yeah. A lot of really hard engineering.Ari Weinstein [00:10:23]: Yeah.Swyx [00:10:23]: I mean, app shots in general, right? Like, I think people don't quite get the difference if. because there's, like, a nice visual in Codex when itAri Weinstein [00:10:30]: YeahSwyx [00:10:30]: When you take an app shot, but they don't maybe they get the difference that, you are able to actually drive each button and you have the, you have each text, in a very optimal representation.Ari Weinstein [00:10:40]: Yeah. Exactly. Yeah. It's kind of fun actually. If you wanna be, like, really nerdy about it, you can go into Codex, take an app shot by hitting the two command keys. So you grab the content from whatever app you're working with, bring it into the, Codex or ChatGPT chat. And then the. if you click on the attachment and you click on this, like, little tiny button in the top right, you can see the raw text and you see the raw accessibility representation. And yeah, we've put a lot of work into, puttingSwyx [00:11:04]: Just dumping everything out. Yeah.Ari Weinstein [00:11:05]: Dumping it out, but also making it token-efficient, doing it efficiently. There's, like, a bit of an art to it. And, you know, it turns out that the same technology that was invented for humans, you know, who maybe have accessibility needs, who wanna use a screen reader technology, that technology is really helpful for them to be able to use computers. It's also really helpful for LLMs to be able to use computers. So that's been, like, really fun to get to work on.Vibhu [00:11:27]: For context, I feel like a lot of people don't understand app shots. They don't even know it's a feature.Ari Weinstein [00:11:30]: Yeah.Vibhu [00:11:31]: It's when you double hit command, it pulls in what looks like a screenshotAri Weinstein [00:11:34]: RightVibhu [00:11:34]: And you're like, “Oh, why have I opened up just a screenshot and thrown it in?” No, it's actually pulling all the metadata, all the code, everything.Ari Weinstein [00:11:40]: Yeah, exactly. Yeah. So it's like, you know, if you take a screenshot of a webpage that has a link- The screenshot doesn't include where the link goes. It doesn't include, you know, maybe you take a screenshot of your calendar, the ca- event ti- titles are truncated, you know? But when you take an app shot, it gives, like, the language model, like, full context about everything and, that lets it, just sort of, like, do much more.Swyx [00:12:02]: Yeah. For those who wanna see more, Jason Liu, I invited him to do a full workshop on this, at AI Engineer.Ari Weinstein [00:12:07]: Amazing.Swyx [00:12:08]: Did a great job.Vibhu [00:12:09]: I have a broader vision questionToward Superhuman Computer UseAri Weinstein [00:12:11]: YeahVibhu [00:12:11]: On Computer Use agents. So your example of take a screenshot, scroll page, take a screenshot is where we were.Ari Weinstein [00:12:17]: Right.Vibhu [00:12:17]: Today, they can automate a lot. what are the bottlenecks? Is it models? Is it harnesses? What. Where do you see it going in, like, two years? Do you see it just running for hours? How do we get there? Any predictions on where Computer Use goes?Ari Weinstein [00:12:32]: Yeah. I mean, I think what's really crazy that I think, You know, the team's accomplished over the past couple of months is that now Computer Use is, like, faster at accomplishing tasks than, like, the average human probably in most cases. and I think that the next frontier is to have Computer Use be, like, literally superhuman in its performance where it actually is as fast or faster at using software than, like, expert Computer Users like us. and I think that'll be really consequential and exciting when that happens because I think we'll be able to all of a sudden build products, that, provide just much more real-time experiences. And I think it'll also. lowering the barrier to entry of, or the activation energy, I suppose, of using Computer Use I think will make us start to default to doing certain things in agents that we've become accustomed to doing manually. And I think that's exciting also ‘cause it'll save us a ton of time. and I think there's a, you know, there are a lot of different little paper cuts and bottlenecks that are sort of standing in the way of that. I think that there's, yeah, there's things on the model side, there's things on the inference side, there's things on the harness side, there's things in the, in the representation. You know, we find that as Computer Use gets faster, we're increasingly bottlenecked by just, like, the speed of doing an operation. Like, for example, you know, a non-trivial amount of time in our benchmarks of Computer Use tasks is actually, like, let's say you're automating a task on doordash.com. Like, a lot of the time is actually waiting for doordash.com itself to load, you know?Swyx [00:14:04]: Yeah, then you just write a wait and then you execute the wait.Ari Weinstein [00:14:07]: Yeah, totally. And you wanna get. Yeah, actually, it's actually really important that you get that de- like, you want as little delay as possible between when it finally finishes loading and when you go andSwyx [00:14:16]: YeahAri Weinstein [00:14:16]: Trigger the LLM to do the next action, which is actually- itself a statistical science.Swyx [00:14:20]: Like an event-driven way maybe to do that.Ari Weinstein [00:14:22]: When possible, you want it to be event-driven.Swyx [00:14:24]: JavaScript has some load events.Ari Weinstein [00:14:25]: And JavaScript has load events for. or the web browser has load events for web navigation, but there's other types of events that actually really can't be event-driven. So there's a lot of complexityVibhu [00:14:34]: The one that comes to mind is, like, chatting with customer service.Ari Weinstein [00:14:37]: Yeah.Vibhu [00:14:37]: Replies could take 30 seconds, could take three minutes.Ari Weinstein [00:14:39]: Oh, right.Swyx [00:14:41]: I have dealt with so many bots with Codex. it's great, but I also wonder if the other side knows that they're talking to a bot ‘cause I'm, like, answering in complete sentences. Like, I'm capitalized correctly.Ari Weinstein [00:14:50]: That's hilarious.Swyx [00:14:51]: Like, I'm giving full num- full reference numbers and everything. Like, it's too. it's clearly too good. I don't care. Like Like, I'm just, like, trying to get my support case.Vibhu [00:14:58]: I've prompted it to, like, you know, “Don't pretend you're a bot. Be very annoyed human.”Vibhu [00:15:02]: Short one-liners, likeSwyx [00:15:04]: YeahVibhu [00:15:04]: Push it, do all this. I also tell it, “While you're waiting for responses, like, use subagents to research better ways to figure out what we need.”Ari Weinstein [00:15:12]: Nice.Vibhu [00:15:12]: It's just, like, human little intervention.Ari Weinstein [00:15:14]: That's awesome. I also feel like half the time it's a bot on the other end, so now youVibhu [00:15:17]: YeahAri Weinstein [00:15:17]: Got the bots talking to each other.Swyx [00:15:18]: Yeah. I will also say, you know, like, you know, one milestone of Computer Use that we are, we're at now is, you know, three, four years ago, we were scared of hooking up LLMs to the, to the web and toAri Weinstein [00:15:31]: YeahSwyx [00:15:31]: To our, to our devices. And now I'm having it configure DNS for me.Ari Weinstein [00:15:35]: Wow.Swyx [00:15:36]: I'm having it pay my bills, and, like, really, like, tens of thousands of dollars of, like, stuff I'm just sending it over and yoloing with Computer Use and, like, you know, what's the, what's the worst thing that can happen?Swyx [00:15:48]: So that- that's all, that's all really good.Building Safely With Computer Use in the Agents APIAri Weinstein [00:15:50]: Yeah.Swyx [00:15:50]: I think now that you've. you know, obviously, you also have to dogfood your own products and all these things. Now that you've sort of released this in API, what are some pitfalls or tips that you wanna tell developers, because they're about to, I guess, encounter all this, firsthand?Ari Weinstein [00:16:03]: First of all, I'm just really excited that we brought Computer Use into the Agents API. I think this is, really great because obviously a lot of developers are building applications that wanna be able to work with third-party websites and services. And so Computer Use has this universality to it. It can work with anything. So now all of a sudden, developers can build using the same Computer Use implementation that we're building on. I think there's great work to be done if you wanna build your own Computer Use harness, but it's hard. And also, we train our models on our Computer Use harness, so there is, an advantage to using the one that's in distribution for the model. There actually might be a speed and cost and accuracy advantage. So I think it's really great for people to get to build on top of that. And, yeah, you know, I think kind of to the point that you were making, like, I think we're all sort of still in the process and maybe, like, some of us are ahead of many people in the world of, like, getting comfortable with this technology and trusting it. And so I think it's incumbent on us to, sort of build that trust over time by making sure we're building things that are reliable, by building, the right kinds of safety checks, by asking for the user's consent before doing something consequential like making a payment, by, asking, you know, maybe depending on the application, making sure you're only letting it access the websites or applications that it actually needs for the task. So that's, I think, something important to think about. but yeah, I'd really encourage people to try the new Agents API, build all kinds of cool stuff on it. We'd love to hear your feed- feedback if, you know, depending on how it goes.Vibhu [00:17:31]: Have you seen any changes in the way it affects dev workflows? So one of the things with dots is, you know, you're seeing it in Slack.Ari Weinstein [00:17:38]: Yeah.Vibhu [00:17:38]: You're seeing people use voice and build. the example Roman showed of change this app and send me screenshots along the way and all this.Computer Use for Testing and Closing the Software LoopAri Weinstein [00:17:46]: Yeah.Vibhu [00:17:46]: Is anything that you're seeing there in adoption about how people are using Computer Use for coding workflows? Any tips people should take from that?Ari Weinstein [00:17:55]: One of my favorite use cases for Computer Use actually, and one that we see a lot in the wild, is Computer Use letting the agent- actually test the software that the agent has built, which is far more consequential than it sounds. Because traditionally, you know, you'd build something in Codex and then the-- and the Codex builds it for you, and then you have to test it, and you are now like QA for the agent, right? So with Computer Use, you can complete the develop-- the software development life cycle, where, the agent can build software, it can test it. So I have a lot of fun, you know, building stuff, having the agent test it. By the time it comes to me, it's already working. I have, extra fun because sometimes I'm, like, developing Computer Use itself, and so now I have a Computer Use agent that's using my Computer Use agent that's using something else. so yeah, I really, I really think this is a super powerful class of use case.Swyx [00:18:44]: I have a visual play test skill that I've developed that, really catches a lot of design issues,Ari Weinstein [00:18:49]: NiceSwyx [00:18:50]: That, you know, normally when you just look at code, you wouldn't really pick it up. it's also really good for cloning apps, though. If you're using a shitty SaaS and you wanna kill the SaaS You just clone it screen by screen by screen. and Obviously, Computer Use can completely drive everything, take screenshots, note it down, and then clone everything with Codex.Ari Weinstein [00:19:06]: That's really cool.Swyx [00:19:06]: But yeah, thanks for all your progress. I think, that isAri Weinstein [00:19:08]: AbsolutelySwyx [00:19:09]: Our time.Nikunj Handa: What's New in the OpenAI APIAri Weinstein [00:19:10]: Yeah.Swyx [00:19:10]: This is not the last that we're gonna talk.Ari Weinstein [00:19:12]: Yeah, cool. This has been really fun. Thank you guys for having me.Swyx [00:19:14]: All right.Vibhu [00:19:14]: All right. Okay, we're a strict cutoff. We're just gonna dive right in.Nikunj Handa [00:19:17]: Let's do it, yeah.Vibhu [00:19:19]: Okay, so, Nikunj, we're very excited to have you. You shipped a lot on the API side, like we justNikunj Handa [00:19:25]: YeahVibhu [00:19:25]: Talked about with Ari. You can now build with Computer Use agents. Anything you wanna highlight, the API side of changes, and introduce yourself a little and what you do?Nikunj Handa [00:19:34]: Yeah, for sure. My name is Nikunj. I lead product for the API team. Been here for roughly three years. been working on launching models. I feel like that's just been, like, a thing, constant thing throughout my time, here at OpenAI. And, with every new model, we try to, like, basically work super closely with the post-training team, the research team, to figure out what's new in it. and then we, like, expose those capabilities in the API. so that's, like, the basic way of putting it. and if you just look at, everything that's new with GPT-6, the cool new capabilities that we launched were, firstly, async function calling. so what you see with, like a lot of the things that you're seeing in, like, Codex and Dots and everything is that tool calls take so long that you don't have to, like, pause the model's execution while, the tool is running. So you could just, like, kick off a tool call, keep running, keep reasoning, and then check back in. so we launched async tool calling. We launched, like, mid-turn steering, so now you can, like, inject messages while the model is reasoning, in the middle. so as your tool call finishes, you can put in that instructions.Async Tool Calls, Mid-Turn Steering, and WebSocketsSwyx [00:20:43]: And that's also partially a model alignment capability, right?Nikunj Handa [00:20:46]: Yeah.Swyx [00:20:46]: Like, they have to train in the ability to train.Nikunj Handa [00:20:48]: Exactly, yeah. AndVibhu [00:20:49]: I feel like we've had it in the app. You could always, as it's reasoning, you could steer.Nikunj Handa [00:20:54]: Yes.Vibhu [00:20:54]: It wasn't the best. It's gotten much better.Nikunj Handa [00:20:57]: Yeah.Vibhu [00:20:57]: Excited to see how it does this in versionNikunj Handa [00:20:58]: Yeah, and I like our mainVibhu [00:20:59]: And nowNikunj Handa [00:21:00]: Goal in, our main goal in the API is to, like, put things in the API once it's trained into the harness. And so we kinda wait for that moment until it's good enough. And a lot of that is, like, actually being powered by WebSockets, which we launched, a few, I wanna say months ago. And so WebSockets just opens this, like, whole bidirectional, like, communication thing with the model. This is not, the GPT Life thing. I'm just talking about GPT-6. and you can do all these, like, async tool calling, async reasoning, injecting messages. It's a really fun API to work on. I think, like, really enjoying.Swyx [00:21:33]: Yeah. This is why we are the engineering podcast, because we get to talk about WebSockets.UltraFast and the Inference StackNikunj Handa [00:21:36]: Yeah.Swyx [00:21:37]: This also pairs very well with UltraFast, right?Nikunj Handa [00:21:39]: Oh, yeah.Swyx [00:21:39]: Like, that is now, like, I think for the first time ever available in the API.Nikunj Handa [00:21:43]: Yes.Swyx [00:21:43]: Which is, which is basically the theoretical fastest speed you can ever get, Frontier of Intelligence.Nikunj Handa [00:21:49]: Yeah. It's been so exciting to work on that project. I think, before I go into the API, the most fun part of, UltraFast has been just watching the inference team cook with Astra. Like, they're just, like, constantly having these, like, Codex agents running, trying to, like, squeeze out more performance. And, I would say, like, at least for a couple of months, a lot of it was focused on efficiency and driving the cost down, which is how we, like, were able to cut the Luna price by, like, 80%. It was, like, a lot of that was driven by, like, all the inference improvements they landed. And then now they've, like, shifted gears towards, like, how can we make this run as fast as possible? And so UltraFast has just been, like, amazing to see on a mo- on a model like Astra. Like, to go that fast has been really cool. And yeah, WebSockets is like. actually it was like the first time we launched WebSockets, it was for GPT, 5.3 Codex Spark, which was. Can't believe we named a model that, but, you know, that's what we launched it for. And obviously, it helps so much because, like, you gotta have the tool calls. you had, like, really reduced the overhead, of going back and forth with tools. And so, WebSockets is awesome for that.Swyx [00:22:57]: Yeah. it's always cute to see, like, I have my reset usage limit, and then I have my Spark usage limit that I never use.Nikunj Handa [00:23:03]: Yeah.Swyx [00:23:04]: Like, it's there if I want it.Nikunj Handa [00:23:05]: I think it's gone finally.Swyx [00:23:06]: It's gone. It's gone, yeah.Nikunj Handa [00:23:07]: I know it's gone, so.Swyx [00:23:08]: Yeah. you're slowly killing off all the, you know, theNikunj Handa [00:23:11]: The old ones, yeah.Swyx [00:23:11]: Oldies.Vibhu [00:23:11]: This is a great week. I mean, it was the first time we had Frontier Intelligence at extreme speeds.Nikunj Handa [00:23:17]: Yeah.Vibhu [00:23:18]: People really liked it.Nikunj Handa [00:23:19]: Yeah.Vibhu [00:23:19]: SoSwyx [00:23:20]: YeahVibhu [00:23:20]: First time it comes back.Swyx [00:23:21]: Yeah. for, 5.3 Spark is explicitly attributed to Cerebras. You guys are not confirming or denying that, UltraFast is related to Ce- Cerebras, but people are. I'll just say that people do care and, are wondering about it. And you have your own silicon as well. elephant in the room, decision models.Decisions API: OpenAI's Fast Decision ModelNikunj Handa [00:23:38]: Oh, yeah.Swyx [00:23:38]: Decisions API. We were the first podcast to do a big Jev, deep dive with, Diogo, and I also, you know, featured him at AI Engineer. How quickly did you see Jev and go likeNikunj Handa [00:23:49]: Oh my gosh. Yeah.Nikunj Handa [00:23:50]: Yeah. Firstly, like, huge props to Diogo and, like, the Jev team for, like, really inspiring theSwyx [00:23:55]: YesNikunj Handa [00:23:55]: Like, whole segment in the market. Like, obviously Jev comes out, everyone's, like, losing their minds over it. Our users are, like, hitting us up. But also, like, our internal teams are like, “We need, like, a much faster classification system.” We can. I don't wanna, like, get ahead of some of the dots features that are gonna comeSwyx [00:24:16]: WhooNikunj Handa [00:24:16]: But you're gonna see, like, some cool, like, really snappy, fast things built on top of the decisions API. but, you know, like, yeah. Props to Jev for, like, inspiring this whole thing. obviously a bunch of people at OpenAI get nerd sniped by that, and they're like, “How can we, like, make this work? We're not gonna, like-”Swyx [00:24:33]: Okay.Nikunj Handa [00:24:33]: “. train a new model.” ButSwyx [00:24:34]: Like, four weeks ago, this was not on the dev radar, right?Nikunj Handa [00:24:37]: No, not at all. No.Swyx [00:24:37]: Okay.Nikunj Handa [00:24:37]: This is likeSwyx [00:24:38]: WowNikunj Handa [00:24:38]: Jev-inspired and, likeSwyx [00:24:40]: I think you are officially the first one to your lab to, like, clone and, adopt this.Nikunj Handa [00:24:44]: Yeah. Yeah. I feel like, OpenAI has such a strong, like, hacker culture and, like, people are just, like, they get excited about things. And so, guy from inference, this one awesome guy from, the infra team are like, “ this is amazing. We're gonna, like, hack on it.” They build a prototype, it, like, works, and now we- we are just, like, hill climbing on latency and trying to make this as fast as possible, and we wanna, like, launch it in the coming days. so as soon as we hit our, like, latency target, we'll try to get this out.Vibhu [00:25:13]: It's interesting. At the same time of hacker culture, you also, as Sam said, like 99%, one of the most reliable APIs withNikunj Handa [00:25:20]: Mm-hmmVibhu [00:25:20]: I think probably the most usage, which is your team directly. how should people see decisions API? I feel like a lot of people saw Jev, heard the buzz, haven't built with it. You're making it very mainstream.What Decision Models Are Good ForNikunj Handa [00:25:32]: Mm-hmm.Vibhu [00:25:33]: What should people see it as? How should they use it?Nikunj Handa [00:25:36]: Yeah. I think the main use cases we've seen is, like, really fast classification. all the Computer Use demos have been amazing and really cool. I think there will be limitations, of course, in terms of, you know, having Astra, like, write, like, a JavaScript-like script to control your computer, versus having Luna pick, like, one action at a time. I think, it's not gonna be at the same intelligence level, but, like, maybe there's some Computer Use tasks that this is good enough for. So excited to see that come through. the other cool prototype I've seen internally is people hooking it up with GPT Live. So GPT Live is like, you know, our bidirectional, like, real-time,Swyx [00:26:14]: VoicingNikunj Handa [00:26:14]: A- API. And, it's built on this, like, model of front-end models and back-end models. So GPT Live is this, likeSwyx [00:26:20]: Think or talkerNikunj Handa [00:26:21]: Super fast. Yeah, think or, talker thing. So GPT Live is the talker, super fast, really good at delegation, and you have something like Astra sitting at the ba- at the back. But tool calling has always felt, like, really slow in GPT Live. and so people have been, like, putting together these, like, tool calling demos of GPT Live controlling a computer, and it just feels like so much more snappy and natural. So I'm, like, kinda excited to see, like, what people do with Live and with Luna on decisions API. so that'll be pretty exciting. Yeah.Swyx [00:26:55]: So I wanna iron this out for people, especially from the product side, because a lot of people have been putting out Jev clones. There's been about 100 in the last two weeks.What Makes a Decision Model DifferentNikunj Handa [00:27:01]: Oh, really? That's amazing.Vibhu [00:27:03]: The first couple days.Swyx [00:27:04]: But like, it. Like, they can clone a Jev API, which is honestly structured outputsNikunj Handa [00:27:09]: YeahSwyx [00:27:09]: Which OpenAI was first to.Nikunj Handa [00:27:10]: Yeah.Swyx [00:27:11]: Right? So, like, I think let's iron out for people what is a decision model, as far asNikunj Handa [00:27:16]: YeahSwyx [00:27:17]: As far as, like, what is important? It is not just latency. It's not just structured output, right? Because I could just have Luna as it'- The decision model is priced the same as Luna, right?Nikunj Handa [00:27:26]: Mm-hmm.Swyx [00:27:27]: Have turned off reasoning and then have structured output. Do I have a Jev? you know, no, right? And that's theNikunj Handa [00:27:33]: YeahSwyx [00:27:33]: That's the realVibhu [00:27:34]: There's a confidence there.Swyx [00:27:35]: Yeah.Nikunj Handa [00:27:36]: Yeah, totally. I think, the way that. So we haven't trained, like, a new model for this.Swyx [00:27:40]: Yeah.Nikunj Handa [00:27:40]: We're, like, building this purely on top of the same Luna weights that we have.Swyx [00:27:44]: Oh.Nikunj Handa [00:27:44]: So yeah. This is, like, really just Luna. And, on top of that, what you're doing is you're constraining. So, like, structured output's a big part of it. you're really optimizing the inference stack to, like, get very fast on TTFD. And because you can have multiple questions, what you do is, like, you basically run those in parallel,Swyx [00:28:05]: As a batch.Nikunj Handa [00:28:06]: Yeah. You run those in the-- as a batch. you-- All sorts of, like, inference techniques people are working on to try to make it as fast as possible. But I'd say, like, at least our implementation of it at the start and this first version is, like, zero-shotting this on top of Luna, to see how it goes. And obviously, you wanna, like, put it out there. Like, this is OpenAI's, like, classic iterative deployment thing. Put it out there, see what people think, and then, like, we'll make more model improvements, as needed. so yeah. That's, the decisions API.Swyx [00:28:38]: Yeah. And, obviously as a benefit, you have vision. They don't have vision, right?Nikunj Handa [00:28:42]: That's true.Swyx [00:28:42]: Obviously, Jev's comes withNikunj Handa [00:28:43]: Yeah. Like, we get it for free with Luna. Yeah.Swyx [00:28:45]: Yeah. I do think that, like, you know, some of the innovations, it sounds like, it's still to come if it's still the same Luna weights, which is, like, the confidence stuff, like, the in calibration is something that we've talked about on the podcast with, benchmarking calibration. ‘Cause basically, the whole point is that RLHF kind of collapses you towards what you want to hear.Calibration, Architecture, and the Open Research QuestionsNikunj Handa [00:29:03]: Yeah.Swyx [00:29:03]: But, like, not actually, like, what the amount of confidence is.Nikunj Handa [00:29:06]: Yeah. Yeah, totally. I'm eager to see how it pans out. Maybe there's, like, gonna be. These are gonna be, like, the key areas where we may have to, like, hill climbSwyx [00:29:15]: YeahNikunj Handa [00:29:15]: With the, with the future model release. But, yeah.Swyx [00:29:18]: And then architecture-wise, the other thing that's in the debate, obviously, you-- Nobody knows because Jev doesn't talk about it, but the two speculations are, one, maybe diffusion model instead of autoregressive.Nikunj Handa [00:29:28]: Mm-hmm.Swyx [00:29:29]: But you are able to achieve the parallel, generation in your way. And then the other one is some mech interp type thingNikunj Handa [00:29:37]: Mm-hmmSwyx [00:29:37]: That you're, like, analyzing the activations and then just outputtingNikunj Handa [00:29:40]: That would be coolSwyx [00:29:41]: The weights.Nikunj Handa [00:29:42]: Yeah.Swyx [00:29:42]: Which, like, you guys have all done the research on this. People have speculated.Vibhu [00:29:45]: There have been demos onSwyx [00:29:46]: YeahVibhu [00:29:46]: Both of these as well. I think Gemini shared a Gemini diffusion, Gemma diffusion on a Jev-style output.Nikunj Handa [00:29:53]: Oh, sick.Vibhu [00:29:53]: And, interp people have also, you know, pulled out interp from a middle layer, but this is all speculation.Swyx [00:29:59]: It's just like, what are you trying to aim for, right? Because you can achieve the API. Everyone can achieve the API. It's actually pretty trivial. But, like, then there's the speed, then there's the accuracy, then there's the other calibration features.Nikunj Handa [00:30:11]: Mm-hmm.Swyx [00:30:11]: I don't know what else.Nikunj Handa [00:30:13]: Yeah. Yeah. No, totally. It's so cool that this, like, whole space has been kicked off now and people are gonna do so much cool stuff and everyone's gonna learn from each other. And, yeah, I'm excited about it.What Developers Should Build NextVibhu [00:30:24]: I feel like being on the platform team, a lot of your job is to empower builders.Nikunj Handa [00:30:27]: Mm-hmm.Vibhu [00:30:28]: What do you think people should build with decisions API and also Computer Use agents? Any stuff that you've- been building with internally that you think really opens up after the new change?Nikunj Handa [00:30:39]: Yeah. okay, let's think. decisions API, use cases internally have been pretty obvious. Like, the user ops team was, like, jumping on it. We were like, “We gotta classify all of our support tickets.” what else came up? obviously, there were, like, the really cool GPT Live demos. I'm sure, like, the Codex app team might, like, pick this up and try to do something cool with it. So, you know, like, this whole thing started, like, a week ago, so it's, like, very early andSwyx [00:31:06]: Oh, one week.Nikunj Handa [00:31:07]: We're excited. Yeah. Yeah, pretty much.Vibhu [00:31:08]: There was a big push in, evals, LLM as a judge having really low latency there.Nikunj Handa [00:31:13]: Right. Yeah. That'll be interesting to see. and then, with the Agents API, we have-- we're basically, like, having a bunch of first-party products, like, at OpenAI built fully on top of it. we've had the Codex security stuff that just went out that's fully built on top of, the Agents API. We have, sort of the-- we- we are having, like, a meetings type of thing launching today.Agents API and OpenAI's First-Party ProductsSwyx [00:31:40]: Mm-hmm.Nikunj Handa [00:31:40]: I think there was, like, a demo. do you remember, like, the plugin extensions when Sam was showing it? There was, like, a demo for, like, you're in a calendar, you can sort of, like, have your meeting notesSwyx [00:31:51]: Like, drop into a singleNikunj Handa [00:31:52]: Flow into like your spaceSwyx [00:31:52]: Like, Google Docs type thing.Nikunj Handa [00:31:53]: Yeah.Swyx [00:31:54]: Right?Nikunj Handa [00:31:54]: And so the-- all of that stuff is, like, fully built on top of, the Agents API. and yeah, I'm, like, just excited to see. Like, we're just getting this out, and let's see what people build on top of it.Vibhu [00:32:04]: I think you showed it off very well. The whole edit spaces, pages, collaborate, add in your dot. Like, that's a lot, soNikunj Handa [00:32:12]: YeahVibhu [00:32:12]: There's a lot of inspiration people can go to.Nikunj Handa [00:32:14]: Yeah. All possible with Astra, you know. Like, thing- things just move so fast now. LikeSwyx [00:32:19]: YeahNikunj Handa [00:32:19]: People go from idea to execution so quickly, it's amazing.Swyx [00:32:23]: Is there something that you want, people to focus on to give you feedback? Like, what-- like, you know, maybe you're just putting this out there and you want-- and there's, like, a fork in the road and you want developers to help you decide.Responses API Performance and Long-Lived CachingNikunj Handa [00:32:35]: So I think Agents API and decisions API, they are like, these are our newest products. Would love, like, any and all feedback on that to figure out where to take them. I think, over here, we're, like, very open on Responses API, which is sort of like our workhorse over here. like, really focused on performance right now, and the performance comes in, like, two main ways. first is just, like, latency. We've been, like, rewriting the whole Responses API stack to, like, make it as fast as possible from a TTFT perspective, DVD perspective. So there's like-- that, like, continues to be, like, a main area of focus for us. The second thing we've been trying to do is, like, really go deep on caching, particularly with these, like, personal agents that are, you know, like, basically, like, a single thread that just goes on and on forever. We've been, trying to, like, really up our game on caching. We provide now guarantees of, like, cache hits within, like, 30 minutes. We're actually, like, we-- for one of our users, we just launched, like, a much longer cache window. So we have, like, a 12-hour caching guarantee, that we offer so that you have, like, guaranteed cache hits forSwyx [00:33:40]: Is that a public API?Nikunj Handa [00:33:42]: Not yet. That's in preview.Nikunj Handa [00:33:43]: We're gonna, like, try to get that out to everyone as soon as possible. But, like, just pay a little bit more for the cache write, and we, like, guarantee, like, cache reads for, like, a much longer period. So even if, like, your instinct thread, for example, like, you just, like, do something on it and then come back to it, like, three to four hours later, you- you're still getting the caching performance out of it. And launchedVibhu [00:34:04]: And you cut the cost there quite a bit too, right, with the new model?Nikunj Handa [00:34:07]: Oh, yeah. That's right.Vibhu [00:34:08]: Like, 25% cheaper, soNikunj Handa [00:34:08]: Yeah, with, like, driving down cache reads, yeah.Cache Pre-Warming and Cost-Efficient Agent ThreadsVibhu [00:34:10]: For builders, they should implementNikunj Handa [00:34:13]: YeahVibhu [00:34:13]: Because it's significantly cheaper.Nikunj Handa [00:34:14]: Yeah. Yeah. Just, like, building your apps with, like, to be very cache aware and sort of, like, use our prompt diagnostics or cache diagnostics tool to figure out, like, where things are dropping off. And, so the caching part is, like, really important. yeah, I also wanted to talk about pre-warming. We have that in the API now. So, like, if you know that, “Hey, I'm gonna get a cache,” like-- sorry, “I'm gonna get this prompt. I just wanna, like, pre-warm the cache, pay, like, the cache write fee right now, and then, like, have it sort of ready to go for the next 30 minutes for whenever.”Swyx [00:34:49]: And it can spawn many instances of that thread.Nikunj Handa [00:34:51]: Exactly, yeah.Swyx [00:34:52]: Yeah.Nikunj Handa [00:34:52]: You can just keep going and haveSwyx [00:34:54]: Yeah, just keep messing with the prompt thereNikunj Handa [00:34:55]: Tons and tons of that. and so, yeah, like, I'm very excited about getting feedback on, like, the low-level performance things that we can keep making Responses API the most performant and reliable way to, like, build on top of an LLM. And then you basically have our, like, new products where I'm just looking for, like, any and all feedback.Swyx [00:35:15]: Yeah, just use it, right?Nikunj Handa [00:35:16]: So yeah, just useSwyx [00:35:16]: Tell us what toNikunj Handa [00:35:17]: Yeah. Define our roadmap for us, please. So yeah.Swyx [00:35:20]: I think for me, the caching thing, great, right? Like, obviously very needed. But at the end of the day, you're still bumping up against a million-token contextCompaction and Managing Million-Token ContextsNikunj Handa [00:35:28]: Mm-hmmSwyx [00:35:28]: And that's probably not gonna change for the foreseeable future.Nikunj Handa [00:35:31]: Mm-hmm.Swyx [00:35:31]: Like, you still need good compression.Nikunj Handa [00:35:33]: Yeah.Swyx [00:35:33]: What is the best practice there?Nikunj Handa [00:35:34]: Yeah. Yeah, totally. so firstly, OpenAI has its own, like, proprietary compression, compSwyx [00:35:40]: Which is inNikunj Handa [00:35:41]: Compaction.Vibhu [00:35:42]: Compaction.Swyx [00:35:42]: It's in the agents.Vibhu [00:35:43]: It's in the API.Nikunj Handa [00:35:43]: Yes.Vibhu [00:35:43]: Agents API.Nikunj Handa [00:35:44]: Yeah.Swyx [00:35:44]: You decide for us, right?Nikunj Handa [00:35:45]: Yeah, exactly. So in the Agents API, it comes built into the harness. and if you're in Responses API, there's, like, two ways of doing it. One is what we call server-side compaction, which is you basically tell Responses API that if you ever hit this threshold of tokens, just auto-compact it and, like, go back, or sorry, like, reduce the context, being used. And the second way is, like, /compact, which is, like, if you want full control. So you can, like, /compact at any timeSwyx [00:36:15]: I hear youNikunj Handa [00:36:15]: Have your own logic on when to, likeSwyx [00:36:17]: It's not AGI.Nikunj Handa [00:36:18]: It.Swyx [00:36:18]: It's not AGI.Nikunj Handa [00:36:19]: Yeah. Yeah.Swyx [00:36:20]: Yeah. But it, I meanNikunj Handa [00:36:20]: YeahSwyx [00:36:20]: It is the manual override.Nikunj Handa [00:36:21]: Yeah, it is the manual way. And like, I don't know, but a lot of the big coding agents like to do it manually. I mean, like, if you look at the Codex implementation of it in the Code- open source Codex harness, you can see that they use /compact and do it. and, there's also, like, new, by the way, new compaction techniques that we are working on. Some of them you will be able to see in the Codex harness. Like, it's already implemented in the Codex harness. And so, they're like some file-based, systems that we are, like, experimenting with. So yeah, lots of cool stuff going on around in compaction as well.Swyx [00:36:57]: Cool. we are running out of time.Nikunj Handa [00:36:59]: Okay.Swyx [00:36:59]: I think you've talked about, a lot about performance and talked a lot about, the new APIs that you're launching. Can you give us any other hints as to things that you're interested in as far as the future of the platform is concerned?Higher-Level Platform Primitives and the AI CloudNikunj Handa [00:37:13]: We're obviously like very low level. Like, I used to work at Stripe before this, and, at Stripe a lot of the game was like building these higher level primitives and products on top of like the core payments primitives. and, I'm always like curious about what the best way of doing that is in AI. And I think we've had a couple of attempts at that. We like had launched assistance API like way back in the day, and like wasn't really the right fit. We were sort of like going off with this like Agents API, and, it gives you the codex harness, but like where's like the, what's the right amount of flexibility to give in that? That's like an open question. Like how should we like have memory walls and like all of these like higher level like API objects to take away, also like to abstract away more, like storage concepts. Like this is like a whole, like, there's a whole space that I'm like very curious about figuring out how we design. I think a lot of things in AI are just have a low-level API primitive and see an example harness and go and have your coding agent implement that. But how much of that do we build into the API is like a constant question that I'm thinking about.Swyx [00:38:24]: Yeah.Nikunj Handa [00:38:24]: So I don't know if folks have thoughts on that. If anyone has ideas, it would be super interesting to hear.Swyx [00:38:30]: Yeah. The analogy I always bring back to, and we'll end there, is, you're building an AI cloud, right?Nikunj Handa [00:38:35]: Mm-hmm.Swyx [00:38:35]: Like, which is, something that, Sam said a year agoNikunj Handa [00:38:38]: Mm-hmmSwyx [00:38:38]: Where, and you're, it's almost like you're kind of doing the AWS invention and you have to do, okay, this is EC2Nikunj Handa [00:38:45]: YeahSwyx [00:38:45]: And this is S3, and this is like. But you're doing the AI-native versions of each of these.Vibhu [00:38:48]: There are a lot of analogies, so you're pre-warming caches for stuff that you know will beNikunj Handa [00:38:53]: Yeah.Vibhu [00:38:53]: And it's nice that it's all exposed to buildersClosingNikunj Handa [00:38:56]: Mm-hmmVibhu [00:38:56]: ‘cause it just opens up ways that you can build new things.Nikunj Handa [00:38:59]: Yeah, absolutely.Swyx [00:39:00]: Okay.Vibhu [00:39:00]: Awesome. WellSwyx [00:39:01]: That's everything.Nikunj Handa [00:39:01]: Thank you, guys.Vibhu [00:39:02]: Thank you.Nikunj Handa [00:39:02]: Yeah. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

AI can outthink almost anyone in the room, but it can never out-human you. In this episode, leadership advisor and author Ernesto Gomez breaks down why the future of leadership is about becoming more human. In this episode of the Build a Vibrant Culture Podcast, Nicole Greer speaks with Ernesto Gomez, author of The Soul Edge: Leading at the Human Frontier in the Age of Intelligence, to explore why the leaders who win in the AI era will be the ones who out-human the competition, not the ones who out-automate them.This conversation covers the shift from extractive performance (control, pressure, and burnout) to regenerative performance, Ernesto's five-part framework for building human capacity (awareness, skills, mindset, soul signature, and connecting to a higher field), and why the best leaders are becoming stewards instead of heroes.In this episode, you'll learn: ✔️ Why Ernesto built his leadership framework around the soul, which is the one thing AI will never have ✔️ The difference between extractive performance and regenerative performance, and why the extractive model burns people out ✔️ Ernesto's five-part path to human capacity: awareness, skills, mindset, soul signature, and connecting to a higher field ✔️ Why the best teams will out-human the competition rather than out-automating them ✔️ How to find your soul signature, the pattern of what makes your best days feel great ✔️ Why leaders need to become stewards, not heroes, in the AI eraThis episode is for leaders, executives, and business owners who want to build teams that perform without burning out and want a real framework for leading well in the age of AI.Topics covered include: work culture, organizational culture, business culture, leadership and business, communication, project management, career, management, leadership skill development, leadership podcast, AI leadership, regenerative performance, human-centered leadership, employee engagement.CONNECT WITH ERNESTO GOMEZEmail: ernesto@aspenmindset1.comLinkedIn: Ernesto GomezBook: The Soul Edge by Ernesto J. Gomez, available on AmazonThe Build a Vibrant Culture Podcast helps leaders improve work culture, communication, and business performance through real-world leadership strategies and practical insights.Click here to view the episode transcript. Learn more about training, coaching, and courses at https://vibrantculture.comConnect on LinkedIn: https://www.linkedin.com/in/build-a-vibrant-culture-nicole-greer/For speaking inquiries: https://vibrantculture.com/speaker-kit-request/Download our training catalog: https://vibrantculture.com/catalog-request/Want to be a guest? Send your request to podcast@vibrantculture.com

In this episode of The Marketing Rapport, host Tim Finnigan sits down with John Slater, Chief Brand Officer at The TARA Group and a creative leader whose career includes stints at Meta, Airbnb, Twitter, and Firefox. The conversation traces John's philosophy of brand-building: one grounded in authenticity, self-awareness, and the discipline of knowing who a brand really is before trying to tell the world about it. Drawing on his experience across some of the most recognizable companies in tech, John explains how great brands act like great people: they know themselves, project the best version of that identity, and stay consistent across every touchpoint.The discussion moves from high-level brand philosophy into the tactical realities of running creative teams: how to balance data with instinct, when to test and when to trust judgment, and how to build environments where people feel safe enough to take creative risks. John and Tim also dig into the growing tension between AI-generated content and the enduring value of human taste, with John arguing that as automation floods the market with generic output, the premium on thoughtful, human-crafted work only increases.The episode closes with a look at John's current work at The TARA Group and its flagship company TargetSmart, which partners with InfutorData to enrich voter data with layered consumer insights. It's a fitting bookend to a conversation that consistently returns to the same theme: data and creativity aren't opposites; they're partners, and the best marketers know when to lean on each.The views, thoughts, and opinions expressed are those of the speaker and do not necessarily represent the views, thoughts, and opinions of ActiveProspect. The material and information presented here is for general information purposes only.This podcast is not intended to replace legal or other professional advice. The Lead Intelligence, Inc. (dba InfutorData) and ActiveProspect LLC names and all forms and abbreviations are the property of its owner and its use does not imply endorsement of or opposition to any specific organization, product, or service.ACTIVEPROSPECT DISCLAIMS ALL LIABILITY ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.

Doté d'une grande curiosité, Alain Turing naît le 23 juin 1912. Il va révéler dans sa jeunesse un don pour les mathématiques. Il est élevé à Londres, loin de ses parents qui vivent en Inde. Et il est placé avec son frère dans la famille d'un colonel. Mais que sait-on réellement de son enfance dans cette Angleterre du début du XXe siècle. On va le voir avec Jean-Marc Panis, qui a rencontré le journaliste Maxence Collin et l'écrivain François Rivière. Ils sont les auteurs du roman graphique sobrement intitulé Alan Turing, qui est publié chez Casterman avec au dessin Alexis Cavaillé. Merci pour votre écoute Un Jour dans l'Histoire, c'est également en direct tous les jours de la semaine de 13h15 à 14h30 sur www.rtbf.be/lapremiere Retrouvez tous les épisodes d'Un Jour dans l'Histoire sur notre plateforme Auvio.be :https://auvio.rtbf.be/emission/5936 Intéressés par l'histoire ? Vous pourriez également aimer nos autres podcasts : L'Histoire Continue: https://audmns.com/kSbpELwL'heure H : https://audmns.com/YagLLiKEt sa version à écouter en famille : La Mini Heure H https://audmns.com/YagLLiKAinsi que nos séries historiques :Chili, le Pays de mes Histoires : https://audmns.com/XHbnevhD-Day : https://audmns.com/JWRdPYIJoséphine Baker : https://audmns.com/wCfhoEwLa folle histoire de l'aviation : https://audmns.com/xAWjyWCLes Jeux Olympiques, l'étonnant miroir de notre Histoire : https://audmns.com/ZEIihzZMarguerite, la Voix d'une Résistante : https://audmns.com/zFDehnENapoléon, le crépuscule de l'Aigle : https://audmns.com/DcdnIUnUn Jour dans le Sport : https://audmns.com/xXlkHMHSous le sable des Pyramides : https://audmns.com/rXfVppvN'oubliez pas de vous y abonner pour ne rien manquer.Et si vous avez apprécié ce podcast, n'hésitez pas à nous donner des étoiles ou des commentaires, cela nous aide à le faire connaître plus largement. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

John Cohen, former Undersecretary for Intelligence at DHS, joined Arizona's Morning News to talk about the recent arrests near an airbase in the UK.

Baleine sous Gravillon s'associe au Greenletter Club pour un nouveau rendez-vous mensuel : le dernier Vert. Pour cette première émission enregistrée en direct et en public le 23 septembre 2026 à Paris, nous avons invité Philippe Bihouix.Philippe Bihouix, spécialiste de la finitude des ressources minières et des métaux, inlassable pourfendeur du "techno-solutionnisme", apôtre des low-techs et auteur de la BD Ressources.À quelques jours de la sortie la nouvelle BD de Philippe (et de Vincent Perriot au dessin), Les Technoprophètes(Casterman, 2026), notre équipe de journalistes et chroniqueurs propose un point route autour de l'IA, des data center, et des "techno-prophètes", ces entrepreneurs qui précipitent le monde dans leur délire techno-solutionniste. ___

Send us Fan MailA two-minute message can still draw a hard line between dignity and dehumanization. We open with a simple reminder: intelligence should win over ignorance, and conscience should keep us honest about what uplifts humanity versus what fuels injustice, cruelty, and evil.From there, we move through a set of clear choices that read like a modern ethical blueprint: nonviolence over violence, women's rights over misogyny and sexual slavery, and children's wellbeing over abuse, exploitation, and trafficking. We also defend freedom of thought over dogma and coercion, and we call for reverence that rejects religious supremacy and patriarchy. If you care about human rights, equality, inclusivity, and compassion, this short episode is designed to be replayed and shared when words matter.We end with an uncompromising principle: no culture, ideology, institution, or religion should ever be used to justify violence, oppression, or the denial of human dignity. The closing vision ties it all together with a big, human promise: one earth, one humanity, one consciousness, one shared future.If this resonates, subscribe, share it with someone who needs it today, and leave a review with the line you want the world to live by.Mastery of Consciousness Siddha teachings-  experiential wisdom of life, enlightenment and the journey to fulfill our highest purpose.  https://nandhijimasteryofconsciousness.podia.com/

Amberlee Burrows says a nonprofit data strategy starts with the information behind every gift, donor record, and interaction. The Development and Salesforce Director at Bearing Tree explains that gift processing is not just administrative work. It creates donor intelligence that helps fundraisers improve communication and build stronger long-term relationships.Missing contact details, duplicate records, and delayed gift entry can lead to returned mail, awkward donor interactions, inaccurate tax receipts, missed major-gift opportunities, and fundraising asks based on an incomplete view of a donor's giving history. Amberlee shares how nonprofits can strengthen data quality, standardize gift processing, and make more informed fundraising decisions.In this episode:Why gift processing should be a core part of your nonprofit data strategy, not simply back-office workHow reliable donor data helps fundraisers build stronger, more personal donor relationshipsThe donor communication mistakes that can happen when gifts, contact details, and household records are not updatedHow duplicate donor records can split a donor's giving history and cause fundraisers to underestimate donor valueWhy incomplete donor profiles can lead teams to make the wrong ask amount or miss major-gift opportunitiesThree donor data quality checks to run: duplicate-contact reports, contact-completeness reports, and current-donor reportsHow to match potential duplicates using multiple fields, including donor name, email address, and mailing addressThe donor details to capture from mailed checks, online donations, campaign pages, and other everyday transactionsHow donor interests, program engagement, volunteer activity, and outreach history support segmentation and personalized communicationA realistic data standard for small and mid-sized nonprofits: every donor should have at least one valid contact methodWhy clear ownership, standardized gift-processing procedures, trained backups, timely deposits, and regular reconciliation reduce riskHow better gift processing can prevent lost checks, improve tax-receipt accuracy, reduce audit stress, and increase trust in the CRMWhy clean, connected donor records must come before AI, predictive analytics, and personalized major-gift outreachHow automating online gift processing into your CRM can reduce manual entry, limit human error, and give staff more time for donor stewardshipYou will leave with a clearer nonprofit data strategy for improving gift processing, strengthening donor data quality, using your CRM with greater confidence, and turning everyday donor information into fundraising intelligence.Episode highlights: (0:00) Intro (1:32) Where weak fundraising operations show up first (3:01) Why gift processing should be part of your nonprofit data strategy (4:17) How poor gift processing and data entry affect fundraising results (6:25) How duplicate donor records distort donor value (8:32) Three ways to check whether your donor data is good enough (13:03) How better gift processing and caging improve fundraising operations (17:09) The donor data you need for better segmentation and communication (19:30) A realistic nonprofit data strategy for small and mid-sized teams (21:32) Why clean donor data needs to come before AI and advanced analytics (26:04) The one gift-processing improvement to make in the next 30 days (27:38) Closing thoughtsGuest: Amberlee Burrows, Development and Salesforce Director, Bearing Tree https://bearingtree.com/Full transcript and show notes: https://www.anedot.com/blog/nonprofit-pulse-nonprofit-data-strategyMore episodes and the monthly newsletter: https://www.nonprofitpulse.com/If this was useful, follow Nonprofit Pulse wherever you listen.Nonprofit Pulse is a podcast by Anedot that explores trends, insights, and resources that help nonprofits accomplish their mission. Hosted by Josh Breland.

On October 4th, Brazil faces a polarising general election: re-elect the octogenarian incumbent or pick the son of a former president jailed for attempting a coup. In some countries honour culture holds women back from even entering the workplace. And why artists are banning phones from concerts. Guests and host:Ana Lankes, Brazil correspondentRobert Guest, deputy editorVicky Jessop, culture writerRosie Blau, co-host of “The Intelligence”Topics covered: Brazil, Lula, BolsonaroWomen, honour culture, equalityPhone-free, concerts, gigsListen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

On October 4th, Brazil faces a polarising general election: re-elect the octogenarian incumbent or pick the son of a former president jailed for attempting a coup. In some countries honour culture holds women back from even entering the workplace. And why artists are banning phones from concerts. Guests and host:Ana Lankes, Brazil correspondentRobert Guest, deputy editorVicky Jessop, culture writerRosie Blau, co-host of “The Intelligence”Topics covered: Brazil, Lula, BolsonaroWomen, honour culture, equalityPhone-free, concerts, gigsListen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

The Machine That Said It Was Alive | Can AI Be Conscious?In 2022, Google engineer Blake Lemoine became convinced that LaMDA, a conversational AI system, was sentient. Google rejected his claim. But the conversation he published left many people asking: If a machine says it is afraid, how do we know what those words mean?In this episode of Echoes Through Eternity, Rev. Dr. Jeffery D. Skinner explores the LaMDA story alongside Star Trek's “The Measure of a Man,” where Data's right to make his own choices is put on trial. What can a conversation tell us about consciousness? Where does evidence end and our imagination begin? And how might the way we speak about machines affect the way we treat our neighbors?This episode approaches those questions through faith, science, and story. It does not claim that LaMDA was conscious or that a fictional hearing proves anything about today's AI. It asks us to think carefully, hold uncertainty honestly, and practice love of neighbor as technology changes.What evidence would persuade you that a machine could have an inner life? I'd welcome your thoughts on this episode.Production note: The LaMDA voice is a dramatized reading, not original audio of Google's system. The published LaMDA conversation was assembled from multiple sessions and edited for readability.Sources and further reading:Blake Lemoine's published LaMDA conversation:https://www.e-flux.com/notes/475146/is-lamda-sentient-an-interviewGoogle's introduction to LaMDA:https://blog.google/innovation-and-ai/products/lamda/Alan Turing, “Computing Machinery and Intelligence”:https://academic.oup.com/mind/article/LIX/236/433/986238Butlin and colleagues, “Consciousness in Artificial Intelligence”:https://arxiv.org/abs/2308.08708Star Trek on “The Measure of a Man”:https://www.startrek.com/news/taking-measure-measure-manHosted by Rev. Dr. Jeffery D. Skinner.This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacyOP3 - https://op3.dev/privacy

It's an absolutely specious claim that artificial superintelligence will benefit everyone. Humanity's problems are not caused by a lack of intelligence, our problems are caused by greedy plutocrats like Zuckerberg. It's like a serial killer telling us we can stop serial killing by making serial killers smarter. Reading by Tim Foley.

In this episode of Data Driven, host Frank La Vigne sits down with Andy Pruett, co-founder and CEO of Lumiscent, to explore a topic often overlooked in the industrial sector: it's not a data problem—it's a decision problem.Andy explains how industrial companies are drowning in sensor data, but struggle to transform that information into actionable decisions that minimize physical asset risk. The conversation dives into how AI-powered decision intelligence can illuminate hidden vulnerabilities, contextualize risk in real-time, and empower industries like mining, manufacturing, and energy to make smarter, faster calls on the shop floor.From the challenges of aging infrastructure to the growing retirement wave of experienced engineers, this episode reveals how the right blend of technology and expertise is shaping a new era of operational resilience and risk management.LinksAndy on LinkedIn -https://www.linkedin.com/in/andypruett/Watch on YouTube -https://www.youtube.com/watch?v=qzpVpgoO5KALumicent -https://www.lumicent.com/Blog Post -https://www.franksworld.com/2026/09/28/navigating-the-data-tsunami-from-iot-sensors-to-smarter-decisions-in-industrial-operations/Time Stamps00:00 Focusing on asset risk management03:56 Managing food plant risks07:48 Managing information in heavy industries11:45 Workforce challenges and knowledge loss16:00 Transforming data into decisions18:46 Predictive maintenance challenges in plants22:14 Adoption urgency and house analogy27:32 Collaborating with Risk Engineers29:16 Understanding insurance risk strategies32:31 Insurance industry changes and parametrics36:46 Managing risk in operations40:03 Challenges with predictive analytics in cars43:02 Getting into engineering from Alaska45:37 Handling a power outage crisis49:01 Wrapping up and contact info

Artist and magician Jeanette Andrews joins Duncan and Jesse at the Elmhurst Art Museum, the very place where, as a teenager, she began imagining how magic could become contemporary art. Nearly twenty years later, that ambition has become an exhibition. The conversation travels from Victorian parlor magic and vaudeville to the psychology of surprise, Alan Turing, and Andrews's Taken by Artificial Surprise, which asks audiences to distinguish between human-created magic and illusions developed with machine learning. Along the way: why knowing how a trick works can ruin the experience, whether magic is really for adults, and a research process involving enough handwritten notes to make an apartment resemble a conspiracy theorist's headquarters. ****Update: The HCL Benefit is November 10th, 2026 Photo: Michael George  Name Drop List: Duncan MacKenzie - kurasmackenzie.com Jesse Malmed - uwm.edu/arts/directory/malmed-jesse/ Jeanette Andrews - jeanetteandrewsstudio.com Bad at Sports - badatsports.com Lumpen Radio - lumpenradio.com Elmhurst Art Museum - elmhurstartmuseum.org McCormick House - elmhurstartmuseum.org/architecture Criss Angel - crissangel.com John Cottingham - johncottingham.co.uk Western Philosophy: An Anthology - johncottingham.co.uk/Western-Philosophy/ Max Maven - maxmaven.com The Office - peacocktv.com/stream-tv/the-office Jean-Eugène Robert-Houdin - encyclopedia.com/people/literature-and-arts/theater-biographies/jean-eugene-robert-houdin Museum of Contemporary Art Chicago - mcachicago.org Invisible Roses - mcachicago.org/stories/editorial/invisible-roses/ Anton Chekhov - britannica.com/biography/Anton-Chekhov Tom Griffiths - psych.princeton.edu/people/tom-griffiths Revealing ontological commitments by magic - pubmed.ncbi.nlm.nih.gov/25490128/ High Concept Labs - highconceptlabs.org Harvard metaLAB - metalab.harvard.edu Alan Turing - britannica.com/biography/Alan-Turing Computing Machinery and Intelligence - academic.oup.com/mind/article/LIX/236/433/986238 Taken by Artificial Surprise - jeanetteandrewsstudio.com/taken-by-artificial-surprise Chicago Symphony Orchestra - cso.org In Plain Listen - jeanetteandrewsstudio.com/in-plain-listen-nac University of Houston - uh.edu MIT — Jeanette Andrews visiting-artist profile - arts.mit.edu/people/jeanette-andrews/ On Wonder, Mind, & Magic: Jeanette Andrews - elmhurstartmuseum.org/exhibitions/on%20wonder%20mind%20and%20magic High Concept Labs 2026 Benefit - highconceptlabs.org/events/2026-benefit

For more info visit: https://journ.tv — Intellect is not the same as Intelligence. Intelligence is the stream of unknown that flows from Source, it is the fuel of life, the reason why we live, why we exist. Without it life ceases; without expansion, life decays and the body dies. Intellect is the mind of the 2nd and 3rd seal, the Shadow mind, the personality. It is a set of programs, of boxes with directives that keep Attention fixed within a certain boundary of consciousness, a tiny little one.

ICE's $100 Million Intelligence Expansion Should Concern Everyone by Nick Espinosa, Chief Security Fanatic

Circa venti minuti dopo l'atterraggio del Primo Ministro Benjamin Netanyahu ad Abu Dhabi, avvenuto domenica, è atterrato anche un altro aereo. Secondo una ricostruzione de Il Foglio, il velivolo atterrato poco dopo quello del leader israeliano è quello usato solitamente da Saddam Haftar, vicecomandante dell'Esercito Nazionale Libico e candidato alla presidenza. È possibile che i due si siano incontrati? E di cosa avranno discusso? Ne parliamo con Luca Gambardella, giornalista de Il Foglio, e con Abdulkader Assad, giornalista del Libya Observer.Un altro mistero avvolge invece gli arresti avvenuti nella giornata di ieri per un tentativo di attacco alla base RAF di Fairford. Ne parliamo con Carlo Biffani, esperto di Sicurezza e Intelligence, e con Edward Lucas, fondatore e direttore del Baltic International Security Centre.

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AI is helping Christian leaders do more, faster. But what happens when our ability to move quickly begins to outpace our ability to hear from God? In this episode of the Lausanne Movement Podcast, Jason Watson speaks with Natchi Lazarus about how artificial intelligence is moving beyond simply generating content and becoming something more like a coworker, agent, or additional member of the ministry team. Natchi explores the practical potential of agentic AI for churches and ministries—from increasing personal productivity to expanding the capacity of small teams. But as the technology becomes more powerful, he argues that Christian leaders need deeper spiritual discernment, not less. Together, Jason and Natchi discuss what it means to move from “human versus AI” to “human plus AI”, why Christians should keep God in the loop when using new technology, and how practices of Scripture, prayer, and “spiritual white space” can help us embrace the possibilities of AI without outrunning what God is actually calling us to do. Main Points AI is moving from tool to teammate.  AI can help ministries redeem time for what matters most.  The future is not simply human versus AI, but human plus AI.  Start with your work, not the technology. Keep God in the loop.  Move fast with technology, but slow down spiritually.  Just because AI can do something does not mean God is asking you to do it.  Lausanne Movement Podcast Archive Can Artificial Intelligence Lead Someone to Jesus? Chase Cappo on the Digital Frontier of Evangelism and Discipleship — Lausanne episode Redeeming Human Identity: Exploring the Intersection of Scripture, AI, Biotechnology, Gender and Human Sexuality with Dr. Carmen Imes & Dr. Matthew Niermann — Lausanne episode Emerging Digital Frontier: Amplifying the Gospel's Impact through Technology with Simon Seow & Matthew Niermann — Lausanne episode Links & Resources Natchi Lazarus — Natchi's website, writing, speaking, and resources on AI, social media, and digital ministry. natchilazarus.com Spirit-Led Intelligence: Your God-Given Superpower for Thriving in the Age of AI, and Beyond — Natchi's book on biblical wisdom and Spirit-led discernment in an AI-shaped world. Spirit-Led Intelligence on Amazon Connected Church Academy — Courses, workshops, and community for Christian leaders and ministry teams learning AI, social media, and digital ministry. Connected Church Academy  The Connected Church — Natchi's book on social media communication strategy for churches and Christian organisations. The Connected Church on Amazon Zapier Agents — The AI-agent platform Natchi recommends in the interview as an accessible place to experiment with agentic workflows. Zapier Agents guide Lausanne Action Hub - https://collaborate.lausanne.org/ 

Very Important Links!Support the show at Patreon! - https://patreon.com/gogOther ways to support the show! - https://gog.show/donateJoin our Discord! - https://discord.gg/r4ZmSHBBuy some merch! - https://shop.gog.show/Recorded on Wednesday, September 23rd, 2026.Jason, Brian, and Dave head to the Dark Side for a deep dive into vibe coding—and, against all odds, Jason may finally be cracking. After Salesforce decided to sunset Quip, Jason used AI to rebuild the collaborative show-notes system the guys have relied on for a decade, adding more features while cutting the monthly cost to almost nothing. Then he took up Dave's challenge to modernize an aging open-source ham-radio application, turning it into a native-looking Mac app in a matter of hours. The catch: after decades of programming, Jason knows exactly what to ask for, what to watch for, and when the AI is confidently doing something stupid.That leads to the bigger question: what happens when software that once took months and tens of thousands of dollars can be built in an afternoon? The guys get into value-based pricing, the disappearing entry-level programming ladder, whether AI makes people lazy or gives curious people superpowers, and how custom software could start eating away at expensive SaaS subscriptions. Jason also lays out what he's learned from actually building with these tools: keep everything portable, use Git from day one, make the AI document its work, and never build something you can't eventually maintain yourself. Turns out the future may not belong to vibe coders after all—it may belong to people who already know what the hell they're doing.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Five men are in custody under suspicion of explosives and terrorism offences after being arrested near a British military base used by American aircraft. This could mark a significant escalation in Iranian hybrid warfare. What oil firms are doing with their profits from the Gulf conflict. And why women's wages rise after their male managers have daughters.Guests and host:Matthew Symonds, contributing editor Matthieu Favas, commodities editorMichelle Hennessy, graphic detail editorRosie Blau, co-host of “The Intelligence”Jason Palmer, co-host of “The Intelligence”Topics covered: Fairford, Iran, hybrid warfare, terrorist attackOil, oil prices, IranGender-pay gap, fatherhood, daughtersListen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

Dennis Prager answers a wide range of listener questions about religion, marriage, success, education, morality, and the challenges of thinking clearly in a confusing world. Dennis explains why intelligence alone does not guarantee success, emphasizing the importance of discipline, maturity, character, trustworthiness, and hard work. He also discusses how to develop clearer thinking by challenging your own assumptions, considering opposing viewpoints, and asking what is true and what works. The conversation explores the role of faith in marriage, the importance of character over grades, the pursuit of meaningful work, and the enduring lessons of the Holocaust. Throughout, Dennis offers practical and thought-provoking insights into how values, responsibility, and clear thinking shape a good life. Follow on Apple Podcasts: https://podcasts.apple.com/us/podcast/timeless-wisdom-with-dennis-prager/id1517302239 Follow us on Spotify: https://open.spotify.com/show/4SZEYeH4tuLr2FvG4ok1rl Learn more about Dennis Prager: https://pragertopia.com/ Follow Dennis on Facebook: https://www.facebook.com/DennisPrager Follow Dennis on Instagram: https://www.instagram.com/thedennisprager/ Follow Dennis on X: https://x.com/DennisPrager Learn more about the Salem Podcast Network: https://salempodcastnetwork.com/ Discover more Christian podcasts at lifeaudio.com and inquire about advertising opportunities at lifeaudio.com/contact-us.

Five men are in custody under suspicion of explosives and terrorism offences after being arrested near a British military base used by American aircraft. This could mark a significant escalation in Iranian hybrid warfare. What oil firms are doing with their profits from the Gulf conflict. And why women's wages rise after their male managers have daughters.Guests and host:Matthew Symonds, contributing editor Matthieu Favas, commodities editorMichelle Hennessy, graphic detail editorRosie Blau, co-host of “The Intelligence”Jason Palmer, co-host of “The Intelligence”Topics covered: Fairford, Iran, hybrid warfare, terrorist attackOil, oil prices, IranGender-pay gap, fatherhood, daughtersListen to what matters most, from global politics and business to science and technology—subscribe to The Economist. Hosted on Acast. See acast.com/privacy for more information.

Jesse Richardson wants to improve our critical thinking about AI risk through the gamification of our rampant speculation. In this episode he explains AI safety isn't just one thing, there are a bunch of different risk profiles and each needs to be considered critically.Previous EpisodesHow Minds ChangeIs It Game OverSchool of ThoughtJesse Richardson's WebsiteYour Bias IsYour Fallacy IsMelanie Mitchell on AI IntelligenceDavid McRaney's TwitterDavid McRaney's BlueSkyYANSS TwitterYANSS FacebookNewsletterPatreon Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Tommy Eastman of Nous Research joins Marty to break down Hermes Agent and why owning your intelligence stack matters. They cover the leap from chatbots to autonomous agentic AI, self-improving memory, and model-agnostic harnesses that kill vendor lock-in. Tommy explains how open source models now handle most enterprise work at a fraction of frontier lab costs, why feeding company IP to OpenAI and Anthropic is a fiduciary risk, the GPU compute squeeze, trusted execution environments, and why Big AI lobbying against open source is disingenuous. Tommy on X: https://x.com/yeahfortommy Nous Research: https://x.com/NousResearch Hermes Agent: https://hermes-agent.nousresearch.com/ Code TFTC for $21 off for first 100 users! The Bitcoin Playbook for Commercial Real Estate Owners & Investors: https://www.tftc.io/CRE STACK SATS hat: https://tftcmerch.io/ Our newsletter: https://www.tftc.io/bitcoin-brief/ TFTC Elite (Ad-free & Discord): https://www.tftc.io/#/portal/signup/ Discord: https://discord.gg/yHGkvYxdqT Opportunity Cost Extension: https://www.opportunitycost.app/ Shoutout to our sponsors: Block: Cash App: For a limited time, new customers can get $21 added to their balance. Just use code TFTC10 when you sign up, and send at least $5 to a friend in the first two weeks. Terms apply. Bitcoin services by Block, Inc. See the Bitcoin disclosures at cash.app/legal/podcast. Square: Visit http://square.com/go/tftc for up to $200 off eligible Square hardware. Bitkey: Use code TFTC10 for 10% off the new Bitkey. Aven https://www.aven.com/bitcoin CrowdHealth https://www.joincrowdhealth.com/tftc Simple Mining https://www.simplemining.io/tftc Salt of the Earth: https://drinksote.com/tftc Join the TFTC Movement: Main YT Channel https://www.youtube.com/c/TFTC21/videos Clips YT Channel https://www.youtube.com/channel/UCUQcW3jxfQfEUS8kqR5pJtQ Website https://tftc.io/ Newsletter tftc.io/bitcoin-brief/ Twitter https://twitter.com/tftc21 Instagram https://www.instagram.com/tftc.io/ Nostr https://primal.net/tftc Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/martybent Newsletter https://tftc.io/martys-bent/ Podcast https://www.tftc.io/tag/podcasts/ Disclosure: Bitcoin services are provided by Block, Inc. Bitcoin services are not licensable activity in all U.S. states and territories, and not all services are available in all states. Bitkey is not available in New York. Block, Inc. operates in New York as Block of Delaware and is licensed to engage in virtual currency business activity by the New York State Department of Financial Services. Bitcoin is a non-deposit, non-bank product that is not FDIC insured and involves risk, including monetary loss. For additional information, see the Bitcoin disclosures: https://help.cash.app/btcdisclosures Get up to $200 off Square hardware when you sign up at http://square.com/go/tftc! #squarepartner. Offer expires December 31, 2026 at 11:59 pm PST. Offer for $40 off the cost of one Square Stand, $75 off the cost of one Square Terminal, $100 off the cost of one Square Handheld, or $200 off the cost of one Square Register, excluding applicable taxes. Limited to one discount per product type per seller account. Each code is limited to one redemption per account holder. Valid for new Square customers located in the US only. Offer not valid with guest checkout. Square reserves the right to modify, revoke or cancel the offer at any time. Offer cannot be combined with any other coupon. Void where prohibited, not redeemable for cash, and non-transferable. #squarepartner #blockpartner

Pete Killingley is Head of Church Engagement for CARE–Christian Action Research and Education in the UK. He helps Christians and churches engage with politics with truth and grace, and think through the big ethical issues being debated in our public square with clarity and compassion. His first book is A Christian's Guide to AI. It’s a book designed to help readers weigh up the everyday implications of navigating life and faith alongside AI–with humility and a hopeful outlook. In this conversation Pete explains why he speaks of AI as apparent intelligence rather than artificial intelligence. And he offers up some helpful questions to ask any time you’re weighing whether or not to use AI in any particular situation.Support the show: https://therabbitroom.givingfuel.com/memberSee omnystudio.com/listener for privacy information.

SummaryMike Sullivan is co-founder and Chief Growth Officer at OneDigital, an insurance and financial services organization with roughly 6,000 people across the United States and Canada. He is also co-author of the bestselling book Workforce Intelligence. He came on to talk about what three years of deploying AI inside his own company actually taught him, and the answer is not what most executives are being sold.The turning point was a single sentence. When OneDigital stopped thinking about AI as technology and started thinking about it as talent, and began hiring it, everything changed. Their people mentor the AI, teach it the job, and then hand it the work it genuinely does better. Each AI coworker has a name and a personality, and it becomes the repository of institutional knowledge that used to walk out the door when a 35-year employee retired.Mike is direct about the condition that makes any of this work, which is trust. You cannot lay off ten thousand people in the name of AI and then tell the survivors you are all in on them. He also names the question almost nobody has answered yet: when a growing share of your workforce is AI talent, who manages it, and how do you measure a blended workforce? Michael and Mike also get into the disappearing bottom rungs of the corporate ladder, why Gartner expects a wave of companies to table AI projects over missing ROI, and why Mike now jokes that his father, a union ironworker from Buffalo, would finally call him pro-labor.What you will learnThe reframe that changed everything at a 6,000-person company: stop treating AI as technology and start hiring it like talentWhat a capacity dividend is, and the question to ask once AI hands your team their time backHow to build AI coworkers that capture institutional knowledge before your longest-serving people retireWhy trust is the precondition for AI adoption, and how layoff headlines destroy itThe management gap nobody has solved: who owns AI talent when your org chart only knows human capitalWhy the bottom rungs of the corporate ladder are disappearing, and what that does to early-career hiringWhy AI projects stall on ROI when leaders expect an immediate return from something that needs cultivatingAbout Mike SullivanMike Sullivan is co-founder and Chief Growth Officer at OneDigital, an insurance and financial services organization operating across the United States and Canada with roughly 6,000 employees. He is co-author, with Vinay Gidwani, of the bestselling book Workforce Intelligence, written deliberately for non-technical leaders who are trying to run companies through AI adoption without losing the trust of their people.ConnectOneDigital: https://www.onedigital.comWorkforce Intelligence by Mike Sullivan and Vinay GidwaniBreakfast Leadership Network: https://www.breakfastleadership.com Note: The Breakfast Leadership Show includes occasional paid partner episodes, in which the guest has paid to appear. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Preble Hall, Dr. Stephen Phillips welcomes Dr. Brian Ellison, to discuss his recently published work, Quiet Wars: U.S. Naval Human Intelligence Operations during Crisis with China, 1931-1965, published by the Naval Institute Press. 

Sharai and Nay Bever are cackling and occasionally discussing Companion this week. Let us tell you why that man ain't shit, but he might be some sort of bisexual icon.Artwork created by Bri Tippetts. Check out her work at @britippettsart.Music Credits: Composed/Produced by LaRob K. Rafael. LaRob K. Rafael, piano/vocals, Jackson Kidder, bass, and Tiana Sorenson, vocals.Want More Time On Fierce Street? Then check out the links below!Follow all of our social media from our⁠ All My Links⁠.Subscribe to our ⁠Patreon⁠ for exclusive content and merchandise.

From October 1, 2024: Robert Mahari, a joint JD-PhD candidate at the MIT Media Lab and Harvard Law School, joins Kevin Frazier, Assistant Professor at St. Thomas University College of Law and a Tarbell Fellow at Lawfare, to explain how increased use of AI agents may lead humans to form troublingly and even addictive relationships with artificial systems. Robert also shares the significance of his research on common uses of existing generative AI systems. This interview builds on Robert's recent piece in the MIT Tech Review, which he co-authored with Pat Pataranutaporn.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

Sebastian Peralta is the CEO of MBODI AI, focusing on advancing intelligent automation systems that improve industrial efficiency, streamline workflows, and support the integration of AI-driven solutions across modern operational environments. Top 3 Value Bombs 1. The biggest barrier to automation is integration, reducing deployment time unlocks scalable automation. 2. AI works best when humans teach it through natural language and demonstration. 3. The real ROI comes from continuous improvement as AI becomes more scalable and cost-effective over time. Check out Sebastian's website to learn more about intelligent industrial automation - MBODI AI Sponsors HighLevel - The ultimate all-in-one platform for entrepreneurs, marketers, coaches, and agencies. Learn more at HighLevelFire.com. Hotworx - The number 1 boutique fitness franchise with 850 plus locations. With recurring membership revenue, a low-labor, high-tech model, and a proven franchise system, entrepreneurs gain a scalable business built for growth. Visit Hotworx.net/franchising to learn more. Waldo - Put idle cash to work through a high-yield treasury account. Visit Waldo.ai and start putting your cash to work like big companies do. Use code EOFire when you sign up and receive a 1 percent deposit match, up to 1,000 dollars. See full terms and conditions at Waldo.ai.