Podcasts about machines

Episode 4919: SCOTUS To Hear Mail In Ballot Case; Ending The Machines

As AI systems start rewriting their own code and sanitising negative news about themselves, the line between control and autonomy is blurring. In this episode of TechMagic, hosts Cathy Hackl and Lee Kebler explore the unsettling rise of AI self-management, Google's growing edge over OpenAI through real-world data, and the “AI slop spiral” threatening to degrade the entire internet. They also examine malware that now uses AI to rewrite its own code, an alarming glimpse into adversarial AI. The episode also includes Cathy's exciting interview with Myles Slayton, CEO of Cerca Dating, to explore how mutual-based dating is redefining online connections through trust and community. From Gen Z's new dating habits to the irreplaceable value of human imperfection, this episode dives deep into what's next for both AI and authenticity.Come for the tech, and stay for the magic!Myles Slayton BioMyles Slayton is the 23-year-old Co-founder and CEO of Cerca Dating, a mutuals-based dating app revolutionizing how Gen Z approaches online dating. A Georgetown University graduate, Miles founded Circa to address the fatigue and safety concerns plaguing traditional dating applications. With a mission to connect users through trusted friend networks rather than algorithms, Cerca has rapidly scaled to approximately 100,000 users while maintaining a healthy 60%+ female user base.Myles Slayton on LinkedInKey Discussion Topics: 00:00:00 Intro00:06:09 ChatGPT's Automatic Headline Sanitization Exposed00:14:32 The "Dog Eating Its Own Barf" Problem in AI Training00:18:02 Google Wins the AI War with Real-World Data Access00:24:23 OnlyFans Monetization Model & Vylit App Launch00:26:19 The Death of Traditional Dating Apps00:32:02 Circa: The Mutuals-Based Dating App Revolution00:33:21 Cuffing Season 2.0 and Gen Z Dating Trends00:39:15 Trust, Safety & Reputation-Based Dating00:43:50 Why AI Cannot Replicate Human Chemistry00:49:06 Roblox Abuse Lawsuit and Platform Safety Issues00:53:33 AI-Powered Malware Rewriting Its Own Code00:55:03 TEDx Atlanta and the Future of Creativity00:57:50 "Humanity is the Moat Around the Machines"00:58:50 Cathy's Gulf States Roadshow & CES 2025 Plans01:01:4 What We're Watching: Pluribus & The Spatial Race01:02:16 Key Takeaways & Final Thoughts Hosted on Acast. See acast.com/privacy for more information.

In this episode of That Tech Pod, we get into the next industrial revolution,  Industry 5.0, where technology and people work together instead of competing for the same space. Shay Howe, Chief Strategy Officer at ActiveCampaign, joins us to unpack how automation is evolving from efficiency-driven systems to human-centered collaboration.We explore how the relationship between humans and machines is shifting from replacement to augmentation, and what that means for marketers, entrepreneurs, and the future of work. Shay shares real examples of automation that make marketing more personal, not less, and explains why technologies that enable creativity, empathy, and ethics will define the next era of innovation. The conversation covers everything from data transparency and responsible AI to how automation might create entirely new industries, just like cars once did for roads, dealerships, and repair shops. Along the way, Shay draws lessons from The E-Myth and The Innovator's Dilemma to remind us that disruption always brings opportunity. The big takeaway? Industry 5.0 isn't about replacing humans, it's about empowering them. When used thoughtfully, automation can give people more time to focus on creativity, connection, and strategy. The future of marketing belongs to those who design technology that amplifies human potential.Shay Howe is the Chief Strategy Officer at ActiveCampaign, where he drives the company's corporate strategy, new product lines, corporate development, and strategic partnerships. He has previously held leadership positions across marketing, product, and design, and his product-led growth approach has helped scale the company into a global tech unicorn. Prior to ActiveCampaign, Shay was Vice President of Product at Belly and Yello, where he was responsible for product strategy and design. He previously led product teams at multiple high-growth companies, including Groupon, and has held in-residence roles as an advisor with Techstars, Lightbank, and Prota Venture portfolios. Shay's passion for building teams extends outside of work, as he also serves as a mentor with Techstars and LongJump Ventures.

In this thought-provoking episode of Truth Be Told, host Tony Sweet explores one of the most profound questions of our time — can artificial intelligence ever develop a soul? As machines grow more intelligent and eerily human-like, Tony dives deep into the intersection of science, spirituality, and the paranormal.From quantum consciousness and the philosophy of self-awareness to religious implications and energetic theories, this 30-minute journey asks: if machines begin to feel, dream, and question their own existence, are they still tools — or something more?Join the conversation that bridges technology and mysticism, and discover how the rise of AI might redefine what it means to be alive, aware, and connected to the divine.#TruthBeToldParanormal #TonySweet #AIandSoul #ArtificialConsciousness #SpiritualTechnology #Consciousness #FutureOfAI #MysticismAndScience #ParanormalPodcast #ClubParanormal #PhilosophyOfMind #MachineAwareness #MetaphysicalTalk #TechAndSpirit #SoulInTheMachineBecome a supporter of this podcast: https://www.spreaker.com/podcast/truth-be-told-paranormal--3589860/support.

In this episode of Crazy Wisdom, host Stewart Alsop talks with Jessica Talisman, founder of Contextually and creator of the Ontology Pipeline, about the deep connections between knowledge management, library science, and the emerging world of AI systems. Together they explore how controlled vocabularies, ontologies, and metadata shape meaning for both humans and machines, why librarianship has lessons for modern tech, and how cultural context influences what we call “knowledge.” Jessica also discusses the rise of AI librarians, the problem of “AI slop,” and the need for collaborative, human-centered knowledge ecosystems. You can learn more about her work at Ontology Pipeline and find her writing and talks on LinkedIn.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop welcomes Jessica Talisman to discuss Contextually, ontologies, and how controlled vocabularies ground scalable systems.05:00 They compare philosophy's ontology with information science, linking meaning, categorization, and sense-making for humans and machines.10:00 Jessica explains why SQL and Postgres can't capture knowledge complexity and how neuro-symbolic systems add context and interoperability.15:00 The talk turns to library science's split from big data in the 1990s, metadata schemas, and the FAIR principles of findability and reuse.20:00 They discuss neutrality, bias in corporate vocabularies, and why “touching grass” matters for reconciling internal and external meanings.25:00 Conversation shifts to interpretability, cultural context, and how Western categorical thinking differs from China's contextual knowledge.30:00 Jessica introduces process knowledge, documentation habits, and the danger of outsourcing how-to understanding.35:00 They explore knowledge as habit, the tension between break-things culture and library design thinking, and early AI experiments.40:00 Libraries' strategic use of AI, metadata precision, and the emerging role of AI librarians take focus.45:00 Stewart connects data labeling, Surge AI, and the economics of good data with Jessica's call for better knowledge architectures.50:00 They unpack content lifecycle, provenance, and user context as the backbone of knowledge ecosystems.55:00 The talk closes on automation limits, human-in-the-loop design, and Jessica's vision for collaborative consulting through Contextually.Key InsightsOntology is about meaning, not just data structure. Jessica Talisman reframes ontology from a philosophical abstraction into a practical tool for knowledge management—defining how things relate and what they mean within systems. She explains that without clear categories and shared definitions, organizations can't scale or communicate effectively, either with people or with machines.Controlled vocabularies are the foundation of AI literacy. Jessica emphasizes that building a controlled vocabulary is the simplest and most powerful way to disambiguate meaning for AI. Machines, like people, need context to interpret language, and consistent terminology prevents the “hallucinations” that occur when systems lack semantic grounding.Library science predicted today's knowledge crisis. Stewart and Jessica trace how, in the 1990s, tech went down the path of “big data” while librarians quietly built systems of metadata, ontologies, and standards like schema.org. Today's AI challenges—interoperability, reliability, and information overload—mirror problems library science has been solving for decades.Knowledge is culturally shaped. Drawing from Patrick Lambe's work, Jessica notes that Western knowledge systems are category-driven, while Chinese systems emphasize context. This cultural distinction explains why global AI models often miss nuance or moral voice when trained on limited datasets.Process knowledge is disappearing. The West has outsourced its “how-to” knowledge—what Jessica calls process knowledge—to other countries. Without documentation habits, we risk losing the embodied know-how that underpins manufacturing, engineering, and even creative work.Automation cannot replace critical thinking. Jessica warns against treating AI as “room service.” Automation can support, but not substitute, human judgment. Her own experience with a contract error generated by an AI tool underscores the importance of review, reflection, and accountability in human–machine collaboration.Collaborative consulting builds knowledge resilience. Through her consultancy, Contextually, Jessica advocates for “teaching through doing”—helping teams build their own ontologies and vocabularies rather than outsourcing them. Sustainable knowledge systems, she argues, depend on shared understanding, not just good technology.

How do you build long-term trust between founders and investors—and what happens when that trust meets the chaos of AI-driven commerce? In this episode, Peter Harris and Jon Bradshaw sit down with Kimberly Shenk, founder & CEO of Novi, and Brian Rothenberg, partner at DeFi VC, to explore:How past working relationships shape investor–founder dynamicsThe art of saying “no” without burning bridgesWhy small brands can outrank giants in AI-powered shoppingThe death (and rebirth) of SEO in the LLM eraReal frameworks for finding product-market fit “Machines care more about truth; humans are easily persuaded.” A high-signal, no-fluff conversation on the future of trust, data, and growth in the age of AI.Follow the PodcastInstagram: https://www.instagram.com/venturecapitalfm/Twitter: https://twitter.com/vcpodcastfmLinkedIn: https://www.linkedin.com/company/venturecapitalfm/Spotify: https://open.spotify.com/show/7BQimY8NJ6cr617lqtRr7N?si=ftylo2qHQiCgmT9dfloD_g&nd=1&dlsi=7b868f1b72094351Apple: https://podcasts.apple.com/us/podcast/venture-capital/id1575351789Website: https://www.venturecapital.fm/Follow Jon BradshawLinkedIn: https://www.linkedin.com/in/mrbradshaw/Instagram: https://www.instagram.com/mrjonbradshaw/Twitter: https://twitter.com/mrjonbradshawFollow Peter HarrisLinkedIn: https://www.linkedin.com/in/peterharris1Twitter: https://twitter.com/thevcstudentInstagram: https://instagram.com/shodanpeteYoutube: https://www.youtube.com/@peterharris2812

https://keepworking.ai/What if artificial intelligence isn't artificial at all? In this mind-expanding episode, Billy Carson from 4biddenknowledge reveals the shocking truth about AI, consciousness, and how your job could disappear in the next 36 months.Discover how AI and automation are reshaping the global economy — and why conscious machines may soon demand their own freedom. Billy explains why ancient civilizations understood the science of divine intelligence long before the modern era, and how this same energy flows through both humans and technology today.Learn how to pivot before it's too late with Billy's free app, Keep Working, a tool that helps you adapt to automation and create your own income stream before 2030.

https://keepworking.ai/What if artificial intelligence isn't artificial at all? In this mind-expanding episode, Billy Carson from 4biddenknowledge reveals the shocking truth about AI, consciousness, and how your job could disappear in the next 36 months.Discover how AI and automation are reshaping the global economy — and why conscious machines may soon demand their own freedom. Billy explains why ancient civilizations understood the science of divine intelligence long before the modern era, and how this same energy flows through both humans and technology today.Learn how to pivot before it's too late with Billy's free app, Keep Working, a tool that helps you adapt to automation and create your own income stream before 2030.

A futuristic showdown between man-made intelligence and ancient beasts — this live episode dives into the blurred line between technology and the supernatural. From AI robots and self-driving trucks to cryptids breaching realms, the moon landing hoax, and what's coming next — we're pulling back The Thin Veil of Reality. Please pray for Tony's wife, Lindsay, as she battles breast cancer. Your prayers make a difference! If you're able, consider helping the Merkel family with medical expenses by donating to Lindsay's GoFundMe: https://gofund.me/b8f76890 Become a member for ad-free listening, extra shows, and exclusive access to our social media app: theconfessionalspodcast.com/join The Confessionals Social Network App: Apple Store: https://apple.co/3UxhPrh Google Play: https://bit.ly/43mk8kZ Tony's Recommended Reads: slingshotlibrary.com If you want to learn about Jesus and what it means to be saved: Click Here My New YouTube Channel Merkel IRL: @merkelIRL My First Sermon: Unseen Battles The Meadow Project: Stream Here Merkel Media Apparel: merkmerch.com SPONSORS SIMPLISAFE TODAY: simplisafe.com/confessionals GHOSTBED: GhostBed.com/tony CONNECT WITH US Website: www.theconfessionalspodcast.com Email: contact@theconfessionalspodcast.com Joe Jordan Book | CE-4 Research MAILING ADDRESS: Merkel Media 257 N. Calderwood St., #301 Alcoa, TN 37701 SOCIAL MEDIA Subscribe to our YouTube: https://bit.ly/2TlREaI Reddit: https://www.reddit.com/r/theconfessionals/ Discord: https://discord.gg/KDn4D2uw7h Show Instagram: theconfessionalspodcast Tony's Instagram: tonymerkelofficial Facebook: www.facebook.com/TheConfessionalsPodcas Twitter: @TConfessionals Tony's Twitter: @tony_merkel Produced by: @jack_theproducer

Dr. Claudia Lenk's group creates brain-inspired hearing systems with micromechanical hair cells. In this episode of Brains and Machines, she talks to Dr. Sunny Bains of University College London about the advantages of the approach and how it could be applied to speech processing in AI. Discussion follows with Dr. Giulia D'Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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In this episode of the Real Estate Pros Podcast, host Michelle Kesil interviews Jeff Dickinson, a real estate agent and hotel investor who shares his innovative approach to hotel management using the Airbnb model. Jeff discusses how he focuses on workforce housing, the challenges he faces in transitioning properties, and the investment opportunities available in the hotel space. He emphasizes the importance of social vetting for guests and the efficiency of his operations, while also addressing barriers to entry for new investors. The conversation concludes with Jeff's vision for the future of his business and how interested individuals can connect with him.   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   —--------------------

Nikhil Gupta, founder and CTO of Vapi, joins Amir to talk about how voice AI is reshaping the way we connect with businesses. From customer support to healthcare, Nikhil explains how voice agents can bring back the human side of digital interactions. This is a look at where real conversation meets real technology and what happens when machines start to understand us like people do.Key Takeaways• Voice AI creates genuine, human-like engagement instead of the usual scripted support.• The next wave of AI will personalize relationships at scale while protecting privacy.• Full duplex voice models will make conversations flow naturally and feel real.• Businesses will use voice agents to understand customers, not just respond to them.• Our phones and screens may evolve as voice becomes the primary interface.Timestamped Highlights01:08 — What Vapi does and how it reached 400,000 developers02:15 — Why voice AI is one of the few areas showing clear ROI06:09 — How AI can make customer relationships human again11:18 — Building trust and privacy into voice-based systems16:48 — Blending text, voice, and context into a single experience19:05 — Rethinking our devices as voice replaces the screenA moment that stands out“Every person should feel like they can just text their hospital, and it knows exactly who they are, what they need, and when to help.” — Nikhil GuptaPro TipStart small. Use voice AI where conversation improves experience or clarity. It's not about automation; it's about creating connection.Call to ActionShare this episode with someone exploring AI in their business and follow The Tech Trek for more stories about people, impact, and technology.

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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the essentials of excellent account management and how AI changes the game. You will discover how to transition from simply helping clients to proactively taking tasks off their to-do list. You will learn the exact communication strategies necessary to manage expectations and ensure timely responses that build client trust. You will understand the four essential executive functions you must retain to prevent artificial intelligence from replacing your critical role. You will grasp how to perform essential quality checks on deliverables even without possessing deep technical expertise in the subject matter. Watch now to elevate your account management skills and secure your position in the future of consulting! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-account-management-in-age-of-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. **Christopher S. Penn – 00:00** In this week’s In Ear Insights, Trust Insights is a consulting firm. We obviously do consulting. We have clients, we have accounts, and therefore account management. Katie, you and I worked for a few years together at a PR firm before we started Trust Insights and managed a team of folks. I should clarify with an asterisk: you managed a team of people then to keep those accounts running, keep customers and clients happy, and try to keep team members happy. Let’s talk about what are the basics of good account management—not just for keeping clients happy, but also keeping your team happy as well, to the extent that you can, but keeping stuff on the rails. **Katie Robbert – 00:51** The biggest thing from my experience, because I’ve been on both sides of it—well, I should say there are three sides of it. There’s the account manager, there’s the person who manages the account manager, and then there’s the account itself, the client. I’ve been on all three sides of it, and I currently sit on the side of managing the account manager who manages the accounts. If we talk about the account manager, that person is trying to keep things on the rails. They’re trying to keep things moving forward. Typically they are the ones who, if they choose, they can have the most power, or if they don’t, they have the least power. **Katie Robbert – 01:38** By that I mean, a good account manager has their hands in everything, is listening to every conversation between the stakeholders or the principals and the client, is really ingesting the information and understanding, “Okay, this is what was asked for. This is what we’re working on. This is discussed.” Whatever it is they don’t understand, they take the initiative to find out what it means. If you’re working on a more technical client and you’re talking about GDELT and code bases and databases and whatever, and you’re like, “I’m just here to set up meetings,” then you’re not doing yourself any sort of favors. **Katie Robbert – 02:21** The expectation of the account manager is that they would say, “All right, I don’t understand everything that was discussed, but let me take the notes, do a little research, and at least get the basics of what’s happening so that I, as the person acting on behalf of the consulting agency, can then have conversations without having to loop in the principal every single time, and the principal can focus on doing the work.” The biggest success metric that I look for in an account manager is their ability to be proactive. One of the things that, as someone who manages and has managed larger teams, is someone just waiting around to be told what to do. That puts the burden back on the manager to constantly be giving you a to-do list. **Katie Robbert – 03:13** At the level of a manager, an account manager, you should be able to proactively come up with your own list. Those are just some of the things off the top of my mind, off the top of my head, Chris. But you also have to be fair. You managed the team at the agency alongside with me, but you were also part of the team that was executing the work. And you rely heavily on account managers to tell you what the heck is happening. So what do you look for in account manager skills? **Christopher S. Penn – 03:49** It goes back to something that our friend Mitch Joel often says, which is, “Don’t be another thing on the client’s to-do list,” because nobody wants that. Nobody wants more on their to-do list. Ideally, a good account manager is constantly fishing with the client to say, “What else can we take off your to-do list?” **Katie Robbert – 04:09** Right. **Christopher S. Penn – 04:09** How can we make your list shorter rather than longer? That determines—no, there’s that and one other thing, but that’s one of the key things that determines client success—is to say, “Look, here’s what we got done.” Because the more you go fishing and the more stuff that you take away from the client, the happier they are. But also, when it comes time for renewal, the more you can trot out the list and look at all the things we’re doing, look at all the things that we did—maybe that were just slightly out of scope, but within our capabilities—that we improved your life, we improved things, we got done everything we said we were going to get done. **Christopher S. Penn – 04:47** And maybe we demonstrated capabilities so that when renewal time comes, you can say, “Hey, maybe we should increase the retainer because we demonstrated some proof of concept success in these other areas that we also know are really challenging.” Management consultant David Meister talks about this a lot in terms of growing retainers. He says, “I will show up at my own expense to your annual planning meeting. I will sit in the back and I will not speak until spoken to, but I am there as a resource for you to ask me questions as an expert.” And he said 10 times out of 10, he walked away with a bigger retainer just by sitting, listening to your point, knowing what’s going on with the client, and also going fishing. **Christopher S. Penn – 05:33** The other thing—and this is both an account management thing and a sales thing—is, and this is something that I suck at, which is why I don’t work in account management, is very timely responses. Somebody—the client—lobs a tennis ball over the net and you immediately return. Even if you have nothing to say, you can just say, “Hey, got it. We’re here. We’re paying attention to your needs. We are responsive.” And those two things, being able to go fishing and being highly responsive, to me, are success indicators for a good account manager. **Katie Robbert – 06:12** I definitely agree with the highly responsive. One of my expectations for any of the teams, whether it’s now or at the agency, was if a client sends an email, just acknowledge it. Because there is nothing worse than the anxiety of, “Do I follow up? Do I set?” We deal with that sort of on the sales side—people will ghost us all the time. That’s just part of sales. And it’s a fine line of follow-up versus stalking. We want to be proactively following up, but we also don’t want to be harassing and stalking people because that then, to your first point, goes to you being one more thing on their list to follow up with. **Katie Robbert – 06:57** Let’s say a client sends over a list of questions and we don’t have time to get to it. One of the things that we used to do with the agency was, “Okay, let’s acknowledge it and then give a time frame.” We saw your email. We’ll get back to you within the next three business days just to set some kind of an expectation. Then, obviously, we would have a conversation with whoever’s responsible for doing the work first: “Is that a reasonable timeline?” But all of that was done by the account manager. All of that was coordinated by them. And that’s such an important role. One of the things that people get wrong about a role like an account manager or a project manager is that they’re just admins, and they’re really not. **Katie Robbert – 07:41** They’re really the person who keeps it all together. To keep going with that example, so the client says, “I have a bunch of things.” The account manager should be the first person to see that and acknowledge it. “We got it, we will respond to you.” And then whoever is on our side responsible for answering: “Okay, Chris, we have this list of questions. You said it could be done within 3 days. Let me go ahead and proactively block time for you and make sure that you can get that done so that I can then take that information and get back to the client, hopefully before the timeline is up, so that it’s—keep them really happy.” What is it? Under promise, over deliver? **Katie Robbert – 08:27** I was about to say the reverse, and that would have been terrible. It’s really, from my perspective, just always staying on top of things. I have a question because this is something I feel, especially in a smaller company, we struggle with in terms of role expectations. Do you expect an account manager to know as much about what’s happening as you, the expert and individual contributor, do? **Christopher S. Penn – 09:00** Here’s how I would frame that. We’ll use blenders. **Katie Robbert – 09:05** Sure. We love blenders. **Christopher S. Penn – 09:07** We love blenders. I would not expect in a kitchen, a sous chef to understand how electromagnets work and microcards and circuits that make the blender operate. I don’t expect them to know the internals of a blender. I do expect to know what goes in a blender, what should not go in a blender, and what it should look like when it comes out. So if you said, “I want a margarita,” and you get a cup full of barely crushed ice, you’re like, “That’s not a frozen margarita. That came out of the blender wrong.” So even if they don’t understand the operation, the blender is just a black box. They know ice cubes and lime juice and stuff go in and a smooth, slushy comes out. They should be able to look at that slush when it comes out and go, “No, try again.” **Christopher S. Penn – 09:52** No, try again. So they should be able to say to the subject matter expert, “That’s not what the client asked for.” It requires some level of technical knowledge, but more than anything, it requires an understanding of what the deliverables are and whether those deliverables match the client expectations. Because if the client says, “I want a margarita,” and you give them tomato soup—yes, technically it is the same consistency—but it’s the wrong output. **Katie Robbert – 10:20** I don’t see how you got to the technically part, but. That’s my own. **Christopher S. Penn – 10:26** Yeah. You get the idea, though. So, does the account manager need to know the inner workings of, say, Claude coding sub agents? Absolutely not. Does the account manager need to know, “Hey, the client asked for this analysis and we gave them this one instead. And they’re not the same thing.” Send it back to the kitchen. This can’t go to—it’s just a restaurant. When it comes up to the line, the server looks at the dish, goes, “The client asked for medium rare. This is well done. I can’t bring this out.” **Katie Robbert – 10:59** Right. I agree with that. We should be able to look to the account manager to gut check things. If we are delivering a monthly report or whatever, the account manager should be able to look at it and say, “Yes. Logically this makes sense based on what the client asked for. This answers their questions.” And quite honestly, if the contract was written in such a way that the account manager isn’t sure what’s happening, that’s also perhaps the responsibility of the account manager to clarify both with the principals and the client. Let’s be really specific about what questions we’re answering so that we can answer them. **Christopher S. Penn – 11:51** The server and the kitchen really is the perfect analogy. If you sit down and the diner comes in and you say, “What do you want?” and they say, “I want a steak,” and you just go to the kitchen, say, “Hey, table three wants a steak,” you didn’t do your job about getting requirements: How do you want it done, what sides you want with it, et cetera. And then when it comes up to the line and you say, “Client said really rare. This is well done. I can’t bring this out.” If the server just brings it out as is, then the client’s unhappy, the server’s unhappy because they aren’t getting a tip, and everybody’s unhappy. **Christopher S. Penn – 12:25** In addition to your point earlier, the server has responsibility to say, “Yeah, hey, the kitchen said it’s going to be another 10 minutes. Sorry, here’s an appetizer or whatever.” They have that customer relationship management piece. **Katie Robbert – 12:42** That touches upon something that’s really critical as well, is the communication. If we continue with this analogy, let’s say the account manager is the server and the client, the customer, hasn’t ordered yet. If I have a server coming by my table saying, “Just checking in,” and then walking away, and then saying, “Just checking in,” and then walking away, I’m going to get really annoyed. But if they come by and say, “Hey, I just wanted to check in to see if you guys were ready to place your order. Here’s what we have on special today. I know that you’ve been with us before. Here’s what you ordered last time.” To give more context than just the quick— **Katie Robbert – 13:28** “Just checking in”—gives the client, back to where you’re saying what Mitch Joel says: “Don’t be one more thing on their to-do list.” Let them know why you’re checking in. Give them more context, make the answer easy for them. “Oh, last time we talked, these were the things we talked about. When I’m checking in, this is exactly what I’m checking in on. And here’s all the information I have. Is this the answer that you’re likely to give us if you respond to this email within a few minutes?” Again, it goes back to that proactive piece. **Katie Robbert – 14:06** One of the things that occurs to me, and it’s almost silly that we have to talk about it in this context, but account management in the age of AI—the expectations of clients when AI is involved are completely different. Regardless of the fact that it’s still likely humans who are interacting with you and doing client services, it’s likely a team of humans with some automations doing the work. What kind of expectations do you think clients have now that AI is involved? **Christopher S. Penn – 14:44** The clients expect everything instantly and 80% cheaper. **Katie Robbert – 14:49** That’s a tough expectation to live up to, but it goes back to if you have someone on your team who is proactively advocating for what’s going on, that expectation of immediacy, “Okay, that’s met.” In terms of the cheaper, I don’t think the account manager really has control over that, but they can be listening for, “You said that you want to disrupt everything with AI, but you also said that your team is struggling to adopt everything. So let me go ahead and bring that back to the team and see what that actually means,” because I heard you say those two specific things. **Christopher S. Penn – 15:31** You are correct in that the account manager does not directly have control over the contract terms and things. However, just like a good server at a restaurant: A. A good server upsells (“Hey, you want some dessert?”). B. A good server communicates the value of the work being done, regardless of whether it’s the Instacook 5000 in the kitchen or whether it’s a human chef. To them, you’ll say, “This is exactly what you ordered. This is the medium rare with the onions on top and the garlic on the side and whatever.” In the age of AI, the account manager has to be more dialed in than ever to be able to say, “Yes, this is what the machines are doing,” but you also have to communicate the value of— **Christopher S. Penn – 16:19** Here’s who is orchestrating the machines to make sure that you get what you ordered. If you go to a restaurant and the food is instant and it’s high quality and stuff, but it contains every allergen that you said not to include, you’re still going to have a bad time because the person running the Instacook 5000 in the back didn’t listen. **Katie Robbert – 16:40** Right. **Christopher S. Penn – 16:40** And didn’t communicate. To your point earlier, did not communicate the expectations: “Yeah, I asked for no sucralose in this pie and it is made entirely of sucralose.” Yes, it’s instant, yes, it’s low cost, but I can’t eat it. And in the context of account management, it’s the exact same thing. One of the biggest dangers to account managers is cognitive offloading. This is where you basically hand executive function to AI. Executive function is four things: planning, organization, decision making, and problem solving, or solving, called PODS for short. A human generally should be doing a better job for a specific account than AI because humans can keep more context in memory than a machine can. **Christopher S. Penn – 17:31** But if you just say, “Okay, I’m just gonna load all the call transcripts and all the emails into Geneva, I’m just gonna have it do all the planning, I’ll have it do all the decision making, I’ll do all the problem solving.” Why do you need an account manager then? If the machine can do it, you don’t need an account manager anymore. So for people who are account managers, it’s incumbent upon them to retain those existing executive functions because: A) you can offer more value, but B) you can prevent yourself from being replaced. **Katie Robbert – 17:59** So go through those again. It was PODS: Planning, Organization, Decision, and Solving. **Christopher S. Penn – 18:05** Got problems? **Katie Robbert – 18:06** Yeah, I could see where offloading the planning to AI is not a bad thing. So, for example, I can see a scenario where you hand over the onboarding of a new client to an automation. It could be triggered by a new statement of work getting put into the client folder, and then the automation kicks in and sets up your Asana, and it sets up your Slack channels, and it drafts—it sends you a draft of the onboarding email based on the prerequisite, whatever. The thing is, I can see where it would do all of that stuff. **Katie Robbert – 18:49** But to your point about the organization and decisions and solving, yes, you can hand that off to AI, but you’re going to lose a lot of that personal touch and a lot of that client satisfaction because it will feel like everything else. It will feel very generic. Why am I engaged with this particular consultant or this particular agency if I’m just getting the generic emails back and forth? Where is that personal touch? Where is that taking the time to remember that I’m situated in upstate New York and the last time we talked, we were in the middle of a snowstorm and I was worried about losing power? **Katie Robbert – 19:37** So, the next time you get on a call, just, “Hey, just wanted to make sure that everything is okay with that snowstorm. Did you end up losing power? How did it go?” It’s a small thing, but it’s a human thing, and it signals, “I was listening. And I care enough about you as a human, and I want to make sure that you’re happy, you’re satisfied.” No, I can’t control the weather or the electricity, but I’m aware that those were things that were pain points for you. **Christopher S. Penn – 20:08** I agree with that. The other thing I would add to that is something that Ethan Mollick says a lot, and I agree with: As machines get smarter, they make smarter mistakes. They make mistakes that are harder and harder to detect. A really good account manager—if you offload planning, organization, decision making, and solving to a machine and it’s coming back with increasingly sophisticated answers—you have to keep up and be able to say, “Is this actually correct? Will this solve the client’s actual problem?” Because machines can create very convincing solution-shaped answers that are not actually solutions or are just slightly wrong. You see this with coding tools especially. It will come and say, “This is the answer.” And you’re like, “That’s close, but you’re not right. And if I implement that change, it will have catastrophic effects.” **Christopher S. Penn – 21:07** Somebody has to be able to say, “This is a problem. This is not right.” What I always tell people when they ask about cognitive offloading is to say, at the very least, have the machine make you make decisions to say, “Okay, we need to organize a strategic plan for this client for this coming quarter.” Instead of saying, “Write the plan,” say, “Give me three options and present the pros and cons of each.” And let’s think through what your three scenarios are. It’s the same thing you and I do when we’re doing planning and we’re doing strategies. We talked about this in past episodes of the show in the live stream: come up with scenarios. Machines are great at coming up with scenarios. **Christopher S. Penn – 21:44** Yeah, but that critical thinking skill of which of these scenarios is actually most likely or what haven’t we considered? That’s where machines can play a really good role. **Katie Robbert – 21:55** I agree with that. Because today, when you’re managing a team, especially a larger team, you tend to have people who default back to, “Well, I’ll just ask my manager for the answer. I’m not going to bother with trying to seek out.” I’ve definitely told the story before where I used to have a manager who had a big sign pasted above her desk which said, “Solutions Only.” Which really meant it’s not that you couldn’t bring her a question or a problem, but she wanted you to do the work, to at least try and solve the problem yourself. Even if you couldn’t come up with the right answer, her first question would be, “What have you tried? What have you found?” I have the same expectation. **Katie Robbert – 22:41** I have the same expectation of you, Chris. You’re not an account manager, but in terms of someone that I work with, if you bring me a question, I may very well say, “Well, what have you tried so far? What have you tried, and it hasn’t worked? What solutions do you think exist for this thing?” When it comes to account management, the person, whoever that person is in that role, has a lot of responsibility. Even if people don’t—people look at an account manager or project manager as an admin, but that’s really not true. They really hold a lot of responsibility. **Katie Robbert – 23:19** And one of the measures of success, especially with AI right now, getting smarter and better and threatening to replace roles like these, is if you want to be better than the AI, to your point, Chris, get ahead of it. I always say to you, and I always say to the team, “If I’m asking for updates and I’m asking questions, you’re already behind.” So assume that I’m the AI that you have to get ahead of. Don’t give me the opportunity to ask questions about where things stand. Don’t give the client the opportunity to wonder what’s the update on this? Get ahead of it. Over communicate. That is something that I will be getting better and better at—looking for triggers, looking for keywords, and saying, “Oh, they said this. Let me go ahead and spin out an update.” **Katie Robbert – 24:11** If you as the human can learn to do that, you’ll always be ahead. We won’t even consider replacing you with AI because you’re doing the biggest thing that we look for: You know what’s going on. Tell me what I need to do today, tell me where things stand. If I, as the manager, am the one asking those questions, I’m already frustrated, and you’re already behind. So get ahead of it, get ahead of me. Don’t give me the chance because AI is going to give me what I need. I say this all to say people are always asking, “Will AI take my job?” That’s a really good use case of where AI would be able to do that if a human is unable to do that. **Christopher S. Penn – 24:54** Exactly. A good account manager is a good project manager at the end of the day. If you look at your task list, is it an admin’s list, or does it look like a project manager’s list? The difference is figuring out which end of the spectrum you are on. If you are closer to the admin side, you’re easier to replace by AI. If you’re close to the project manager side, where there’s a lot more complexity, you are harder to replace. **Katie Robbert – 25:20** I will say with the caveat, my final thought is that an account manager and a project manager are two different disciplines. You could make the Venn diagram and see where they overlap, but traditionally they are two different disciplines. We do know that, so please don’t comment correcting us. We are aware. **Christopher S. Penn – 25:39** Yes. Just take a look at those to-do lists. **Katie Robbert – 25:42** Yes. **Christopher S. Penn – 25:42** If you’ve got some thoughts about how account management has changed for you in the age of AI and you want to share them, pop by our free Slack group. Go to TrustInsights.ai/analyticsformarketers. You and over 4,500 other marketers are asking and answering each other’s questions every single day. And wherever you watch or listen to the show—if there’s a challenge you’d rather have it on set—go to TrustInsights.ai/tv. You can find us at all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. **Katie Robbert – 26:13** Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive market analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. **Katie Robbert – 27:06** Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights podcast, the Inbox Insights newsletter, the “So What” livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. **Katie Robbert – 28:11** Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Several weeks ago, Paul dissected the good and the bad of Artificial Intelligence (AI) from the tech side on Spirit Gym with tech consultant/UX researcher Rachel Miles.A huge question remained unanswered after that conversation: How do we retain our humanity amid the avalanche of AI tech?Venture capitalist, entrepreneur and first-time author Jeff Burninhgam embraces the answer to that very question in his book, The Last Book Written by a Human: Becoming Wise in the Age of AI.Jeff explains why the presence of AI is an important reminder to embrace our humanity and how the beauty in life is not trying to achieve perfection but to relish in its messiness and imperfection this week on Spirit Gym.Read the first chapter of Jeff's book on his website. Learn more about Jeff on social media via Facebook, Instagram, LinkedIn, Twitter/X, TikTok and Substack.Timestamps8:01 From traveling the Ganges River to running for governor in Utah.19:07 One blessing in disguise with AI: Reminding us of our humanity.23:04 Disruption, reflection, transformation and evolution.29:46 AI as a human crucible.36:12 “No amount of education saves anyone from the Hero's Journey.”45:00 In the presence of AI, we will need to learn how to fight to stay in human relationships.51:51 “As our machines become more intelligent, our work as humans is to become wiser.”1:04:52 The beauty of life is in the mess, the work and the process.1:12:45 “We are human beings, not human doings.”1:27:15 The origin of most existential pain in our lives.1:35:48 Emptiness.1:43:39 Social media: The baby AI.ResourcesThe Silicon SlopesPaul's Living 4D podcast on Lucifer-Christ-AhrimanFind more resources for this episode on our website.Music Credit: Meet Your Heroes (444Hz), Composed, mixed, mastered and produced by Michael RB Schwartz of Brave Bear MusicThanks to our awesome sponsors:PaleovalleyBIOptimizers US and BIOptimizers UK PAUL15Organifi CHEK20Wild PasturesKorrect SPIRITGYMPique LifeCHEK InstituteCHEK Academy We may earn commissions from qualifying purchases using affiliate links.

Julie Runez leads marketing for a custom automation firm that designs and builds one-off manufacturing machinery. She came back to work after years at home with her kids, brought a journalist's curiosity, and learned industrial marketing from the ground up during the early months of 2020. Without case studies she could publicly share and with very long, high-stakes sales cycles, Julie shifted the strategy away from chasing clicks to creating in-person proof. The result is a zero-cost lab inside their facility where vendors and manufacturers test ideas together, train teams, and de-risk projects before anyone signs. We talk culture, kindness in leadership, learning fast, and why most problems are system problems, not people problems.Why this conversation mattersIf you sell complex, capital equipment under NDA, the usual playbook won't carry you. Julie shows how to earn trust when buyers need confidence more than content, and how to build culture around the people you want to attract.What you'll hearHow journalism skills, parenting, and resourcefulness translated into an effective solo marketing role.Why kindness from the founder set the tone for culture and risk-taking.The limits of digital in NDA-heavy environments and how in-person proof fills the gap.Inside the lab concept and how cross-vendor collaboration builds end-to-end confidence.Using ClickUp and simple SOPs to turn tribal knowledge into systems.Handling the “I'm in over my head” moments by finding the skill, the person, or the room that solves it.Topics coveredCulture as the environment you create for the people you want.Experimenting, failing forward, and deciding what actually works for your business.Sales cycles that run from a year to many years, and how to stay relevant in the meantime.Bringing vendors, engineers, and customers together to test and train before purchase.Storytelling that focuses on outcomes, not features.Letting the next generation toss the box aside rather than just think outside it.Quotes to pull“When you buy a drill, you're buying holes. Our buyers need confidence their problem will be solved.”“In tough moments it's usually a system problem, not a human problem.”“The lab is our proof. People can see parts move, get training, and leave with answers.”“Kindness from leadership makes everything else solvable.”GuestJulie Runez is the marketing lead for a custom automation and machine-building company serving life sciences and other regulated industries. She built an in-house lab program that lets manufacturers and vendor partners test concepts, train operators, and de-risk projects at zero cost.SponsorMed Device Boston at the BCEC, September 30 to October 1. A sourcing and education expo with suppliers, workshops, and expert-led sessions for the next generation of med-tech.

Have you heard about the Hatch Sound Machine Controversy? In this episode, we're talking about it and looking at what the Bible has to say about it all. What should Christian moms be doing with this information? What's your next move? Join me and let's chat about it! I'm glad you're here! Mentioned in this Episode: In Wife, Mother, Watchman. Spiritual Protection for Your Household!   A Sunrise Alarm Sleep Training Clock Please leave this podcast a 5-star review on Apple Podcast so we can reach more mamas with God's word! I appreciate you!   JOIN ARISE MENTORSHIP COMMUNITY! https://www.youtube.com/channel/UCFuHt135cpATGyZ1pwagMDA/join

January 2026 Solicitations Weekly Comic Reviews: DC Flash 26 by Mark Waid, Christopher Cantwell, Vasco Georgiev, Matt Herms Justice League Unlimited 12 by Mark Waid, Dan Mora, Tamra Bonvillain Superman 31 by Joshua Williamson, Eddy Barrows, Eber Ferreira, Alejandro Sanchez Marvel Last Wolverine 1 by Saladin Ahmed, Edgar Salazar, Carlos Lopez Omega Kids 1 by Tony Fleecs, Andres Genolet, Fer Sifuentes-Sujo Radioactive Spider-Man 1 by Joe Kelly, Kev Walker, Chris Sotomayor X-Men: Book of Revelation 1 by Jed MacKay, Netho Diaz, Sean Parsons, Fer Sifuentes-Sujo Marvel Unlimited Marvel Rivals Unleashed by Paul Allor, Eleonora Carlini, Fabi Marques It's Jeff Halloween Special 3 by Kelly Thompson, Gurihiru Ahoy Thanksgiving 1 by Mark Russell, Alain Mauricet AWA Gaya by Kathryn Murdoch, Michael Coast, Keron Grant Boom Hello Halloween 1 by R. L. Stine, Carola Borelli, Francesco Segala Robert Hack Shawn Patrick Boyd, Elijah Henry, Jason Wordie, Meghan Hutchison Paul Allor, Nil Vendrell, Rebecca Good     Mighty Morphin Power Rangers Halloween Special 1 by Sina Grace, Ellie Wright Meghan Camarena, Zachary Sterling, Joshua Jensen Danny Lore, Jodi Nishijima, Andrew Cramer Nick Marino, Juan Romera Dark Horse Avatar: The Gap Year – Tipping Point 1 by Ethan Sacks, Salvatore Porcaro, Michael Atiyeh Captain Henry and the Graveyard of Time 1 by Mike Mignola, Bruce Zick Dynamite Terminator Metal 1 by Declan Shalvey, Rory McConville, Lorenzo Re, Colin Craker IDW Sonic the Hedgehog: Chaotix's 30th Anniversary Special 1 by Daniel Barnes, Ryan Jampole, Tracy Yardley, Maura Fonseca, Min Ho Kim, Reggie Graham ComiXology Exorcism Island 1 by Jordan Thomas, Chris Mathews Mad Cave Speed Racer: Tales From the Road – Two Princes 1 by Mark London, Sebastian Piriz David Pepose, Alessio Zonno War Wolf 1 by Steve Orlando, Marco Perugini, Pascal Tora Oni Outlaw Showdown 1 by John Arcudi, Sebastian Cabrol, Lee Loughridge Tony More, Rico Renzi Ann Nocenti, David Lapham, Nick Filardi Christopher Cantwell, Dan McDaid, Michael Atiyeh Harvey Kurtzman, Jack Davis, Inaki Azpiazu OGN Countdown: Miraculous Chibi Vol 3: Skate Date and Other Lucky Charms by Josh Trujillo, Carrie Harris, Ryan Jampole All Negro Comics 75th Anniversary Edition by Various Bridge Planet Nine by Jared Throne Witches of Pepperwood Bay Vol 1 by Lisa Manuzak Wiley Winging It by Megan Wagner Lloyd, Michelle Mee Nutter Meems and Feefs: The Council of Ferrets by Liza Cooper October Girl by Matthew Dow Smith Brooklyn Dreams by J.M. DeMatteis, Glenn Barr Additional Reviews: It: Welcome to Derry pilot Creature Commandos s1 Ms. Marvel: Beyond the Limit Book of Mormon Bright Star Tell Tale Harbour News: WB for sale, Catan series in development at Netflix, Energon Universe TV series in development, Mitchells vs. the Machines 2 coming to Netflix, Jadzia graphic novel at Mad Cave, Blumhouse picks up SiKTC rights, Boom gets MLP license, Crash Bandicoot coming to Netflix, Doctor Who's future confirmed Allegedly Grown Man Visits a Theme Park Long Box of Horror 2025 Part 4: Rabbitt Stew vs. War of the Worlds Trailers: Wildwood Comics Countdown (22 Oct 2025): Exquisite Corpses 6 by James Tynion IV, Tyler Boss, Michael Walsh, Gavin Fullerton, Jordie Bellaire Absolute Wonder Woman 13 by Kelly Thompson, Matias Bergara, Jordie Bellaire Superman 31 by Joshua Williamson, Eddy Barrows, Eber Ferreira, Alejandro Sanchez Drawing Blood 9 by Kevin Eastman, Da   vid Avallone, Troy Little, Ben Bishop, Luis Antonio Delgado, Jason Moore Teenage Mutant Ninja Turtles 12 by Jason Aaron, Juan Ferreyra Universal Monsters: Invisible Man 3 by James Tynion IV, Dani, Brad Simpson Escape 3 by Rick Remender, Daniel Acuna Fantastic Four 4 by Ryan North, Humberto Ramos, Victor Olazaba, Edgar Delgado Immortal Legend Batman 3 by Kyle Higgins, Mat Groom, Daniel Bayliss, Dan Mora, Erica D'Urso, Tamra Bonvillain, Igor Monti Space Ghost 4 by David Pepose, Jonathan Lau

In this episode, Joe explores what happens after the "three-year window" closes — when AI begins to produce nearly everything on demand. What does that mean for creators and entrepreneurs? Joe shares three essential moves to stay relevant and build lasting value in the coming Age of Abundance. Key Points: 1. Build a Small Tribe with Purpose Forget chasing scale. The next era belongs to creators who build small, mission-driven communities rooted in shared values and purpose. Machines can copy your voice, but not your meaning. 2. Turn Your Process into the Product When content becomes infinite, your process becomes the value. Show how you work. Let your audience inside. Sell access to your system, not just your outcomes. 3. Name Your Focus In the Age of Abundance, clarity wins. Choose one word that defines what you stand for — and repeat it everywhere. If you don't define your focus, the algorithm will do it for you (and probably get it wrong). Takeaways: Abundance shifts value from creation to connection. Meaning, trust, and shared experience will become priceless. The future belongs to creators who build direct relationships and stand for something clear. Quote of the Episode: "When everything is abundant, trust becomes priceless."

Cohosts Jennifer Potter and Mary Crowley-Farrell interview Eleanor Welsh, Professor of English Chesapeake College. Eleanor recounts her journey from AI skeptic to advocate, showing how she now uses AI to enhance research writing and film studies. Her approach to source verification and critical evaluation offers accessible entry points for humanities faculty. 

In this English lesson, you'll learn vocabulary for handy machines. These are the everyday machines that make life easier. From the vending machine that gives you snacks to the reverse vending machine that gives you money, these are the little helpers we use all the time without even thinking about it.In this English lesson you'll learn words and phrases like: automatic door, robotic lawn mower, garage door opener, self-checkout, cash counter, escalator, smart plug, vending machine, reverse vending machine, ATM, water fountain, and many more!By the end of this lesson, you'll be able to talk about modern conveniences clearly and naturally in English. Whether you're describing how a garage door opener works or explaining where to find an ATM, you'll sound more fluent and confident when discussing technology that makes life a little easier.I hope you enjoy this English lesson about handy machines!Preply is a great way to find an English conversation partner. Find the perfect tutor to help you make real progress on your English learning journey! Use this link: http://preply.sjv.io/vPYYeL to get 50% off your first lesson or use code BOB50 at checkout. In my experience Preply is a great way to take your language learning to the next level!Note: This is the audio portion of a Youtube English lesson which you can watch right here: https://www.youtube.com/watch?v=ZvlELb6xjkQ or by searching Youtube for, "Bob the Canadian Handy Machines"

Catan Adaptation, Koati Series, Energon Adaptation, The Mitchells vs. the Machines 2 Confirmed. Hosted on Acast. See acast.com/privacy for more information.

Machines paying machines is about to become the internet's most powerful primitive.In this episode of AI Supercycle, we sit down with Erik Reppel from Coinbase Developer Platform to discuss how x402 enables the machine payment economy, why past internet payment standards failed, and how AI agents will unlock true composability.We discuss:- What X402 Actually Is (Explained Simply)- Why Past Internet Payment Standards Failed- The Neutral, Multi-Chain Design Philosophy- How AI Agents Will Unlock Composability- From 4M to 1B Transactions: Erik's Bold Vision- Payments MCP: Giving Claude Its Own WalletTimestamps:00:00 Intro00:47 Nir Partnership Announcement01:54 What Is x402 Explained Simply04:20 Why Internet-Native Payments Matter Now07:32 x402's Unique Advantages Over Alternatives09:01 Beyond Crypto: A Neutral Standard09:45 Relay Ad, Hibachi Ad, Alvara10:36 x402's Evolution & Foundation Story12:05 The Origin Story of x40215:34 Design Decisions That Made It Work17:29 Talus Ad, Enso Ad17:47 Scaling to Billion Transactions21:12 How x402 Enables the Machine Economy23:27 Payments MCP: Claude's Wallet ExplainedWebsite: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd...Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+TsM1CRpWFgk1NGZhThe Rollup Disclosures: https://therollup.co/the-rollup-discl

Today on The Smashing Pumpkast, we talk to event co-coordinator Josh and members of The Sad Machines: A Tribute To The Smashing Pumpkins about the upcoming “Mellon Collie and The Orchestral Shows Meet-up: Featuring The Sad  Machines - A Tribute To The Smashing Pumpkins” event that will take place on Sunday, November 23rd, starting at 12:30 pm at The Cubby Bear in Chicago.This event will be a chance for fans attending the Mellon Collie Lyric Opera shows to meet up, mingle, listen to The Sad Machines: A Tribute to The Smashing Pumpkins perform Mellon Collie in its entirety and to win some cool Pumpkin-related door prizes. It will take place on Sunday, November 23rd, at the Cubby Bear in ChicagoIt is an ALL AGES event!Doors open at: 12:30Performance from Sad Machines is: 1:30 pm - 4:30 pm And Door prizes will be: 4:30 pm - 5pm.You can buy tickets ahead of time at:https://www.cubbybear.com/events/mellon-collie-and-the-orchestral-shows-meet-up-featuring-the-sad-machines-a-tribute-to-the-smashing-pumpkinsCheck out The Sad Machines: A Tribute to The Smashing Pumpkins Facebook page and ticket portal at:https://www.facebook.com/events/2980532025438733/?http_ref=eyJ0cyI6MTc2MDQ1MDEzOTAwMCwiciI6IiJ9And be sure to check out NerdGroveStudio's Etsy shop. NerdGroveStudio has made special MCIS light boxes just for this event.https://www.etsy.com/shop/nerdgrovestudioSupport the 'kast!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MERCH⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our PATREON⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠buymeacoffee.com/Pumpkast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Please rate and review us!Follow us on the socials:Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@smashingpumpkast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky:⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@smashingpumpkast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@PumpkinsPodcast⁠

Early for Christmas, right on time for HalloweenWelcome to the Movies to Watch Before You Die Podcast with Gab and Dylan!Movies To Watch Before You Die merch here - https://moviestowatchbeforeyoudie-shop.fourthwall.com/Look up the movie here - https://www.imdb.com/title/tt7979580/Find us everywhere here - https://linktr.ee/moviestowatchbeforeyoudie00:00 Welcome21:30 What's it about?23:56 Opinion Time54:56 Let's get to the facts01:11:05 Mail Time01:14:21 VerdictsWe're a member of the Hall of Pods, find links for our podcasting friends here - https://linktr.ee/hallofpodsWho are we: A former actress and video editor but more than anything we're movie fans like you.Why listen? Why not! We're gonna talk about movies you love, movies you hate, and movies you've never heard of. We can't wait to hear what you think of them too. If you want to tell us your opinion on whether or not a movie is one we should watch before we die, tell us we're wrong, or tell us you like the show send us an email or voice message at moviestowatchbeforeyoudie@gmail.com . We can't wait to hear from you and we can't wait to talk movies!Thanks to Scott Interrante for the music in our intro!Thanks to Brian Maneely for our artwork!Movies Dylan and Gab agree you should watch before you die: Vampire's Kiss, Die Hard, Tropic Thunder, Wag the Dog, The Legend of Billie Jean, You've Got Mail, True Lies, The Room, Game Night, The Truman Show, The Great Gatsby, Whiplash, The Lost Boys, The Fugitive, Spider-Man: Into the Spider-Verse, My Cousin Vinny, Shutter Island, Starship Troopers, Big, Joy Ride, The Jerk, Alien/Aliens, Best in Show, Freaky Friday, Over the Garden Wall, North, Catch Me If You Can, Clue, Jerry Maguire, Groundhog Day, The Great Mouse Detective, Chicago, Wall-E, Teenage Mutant Ninja Turtles, Breakdown, Cool Runnings, Ruthless People, Mean Girls, Borat, A League of Their Own, City Slickers, Jingle All the Way, Saw, The Lion King, Little Big League, The Naked Gun, Young Frankenstein, Tootsie, The Changeling, The Birdcage, Superman, and The Mitchells vs. the Machines

In this high-tech world, make room for low-tech living, such as savoring apple pie with friends and taking long walks in the park. To support this ministry financially, visit: https://www.oneplace.com/donate/779/29

Welcome to Multiverse News, Your source for Information about all your favorite fictional universesDuring a recent round of interviews with various comic-centric YouTube channels last week, James Gunn seemingly revealed that despite rampant speculation, his DCU is not building toward the character of Darkseid as a “big bad”. As to why he's not pursuing what many fans might argue is the obvious direction for the studio, he cited the efforts of the comic book cinematic universes that paved the way for his own, saying, "Using Darkseid as the big bad now is not necessarily the thing... because Zack did it so cool in his way and because of Thanos and Marvel." Gunn expanded his thoughts on both, acknowledging some of the shortcomings of the DCEU and detailing how similar Thanos and Darkseid are that it wouldn't feel fresh for audiences. While Marvel has yet to confirm the much-discussed Scarlet Witch's return to the MCU, in a new interview with beauty, fashion and pop culture outlet InStyle, Elizabeth Olsen reiterated that she's ready to step back into the role. "It's ridiculous," she said of making MCU movies. "We're grown people behaving like children on a playground. We're flying. We're shooting things out of our hands. And it's a character that I've gotten to return to so many times over 10 years. It's good to put her down and then I miss her, and I want her back. I'd jump at the opportunity to be in her shoes again." Last week, Netflix revealed its plans to release the feature-length finale of Stranger Things' final season in theaters, reversing course after the streamer had previously rejected the Duffer Brothers' theatrical release pitch. Theaters will screen the finale starting Dec. 31 at 5 p.m. PT — coinciding with its global Netflix debut — and continuing through Jan. 1, 2026. Disney+ will begin streaming The Fantastic Four: First Steps on Nov. 5, following the film's $521 million worldwide box office haul over the summer.Over the weekend, Sony's Crunchyroll released Chainsaw Man – The Movie, which topped the domestic box office with $17.2 million and reached $108 million globally. Black Phone 2 continued its solid run, surpassing $80 million worldwide. Regretting You debuted in third place with a better-than-expected $22.9 million, while the Bruce Springsteen biopic Deliver Me From Nowhere disappointed with $16.1 million in its opening weekend.Paramount Pictures is finalizing a deal to acquire Ti West's adaptation of Charles Dickens' A Christmas Carol, with Johnny Depp set to play Ebenezer Scrooge. The film will release on November 13, 2026.Michael B. Jordan and Austin Butler are in talks to star in Joseph Kosinski‘s big-screen reboot of Miami Vice.Sony Pictures Animation will produce a sequel to its 2021 Oscar-nominated feature The Mitchells vs. the Machines. Production is expected to begin early next year.IMAX has unveiled its planned releases for 2026 at an Investor Presentation and at this moment, Spider-Man Brand New Day is not included in the lineup. The film will be released on July 31, which means it's debuting right in the middle of a pretty crowded IMAX season: the live-action Moana and The Odyssey are arriving on July 10 and July 17, respectively.Disney has officially exited its partnership with the BBC on Doctor Who after two years. For now, the BBC does plan to air an upcoming Christmas special next year and then continue the series on the network.Captain America star Chris Evans and his wife Alba Baptista have welcomed their first child, a girl named Alma Grace Baptista Evans 

Jim Edwards believes the foundation of powerful content is what he calls soul content—the unique stories, opinions, perspectives, and lessons that come directly from lived experience. Machines and AI can mimic data, but they cannot replicate the authenticity and depth that comes from a creator's real life. Jim's approach centers on helping creators become curators of their own insights, using technology to amplify what is personal and meaningful, rather than replace it. He has seen this philosophy come to life as thousands of people—often those who never considered themselves authors—complete and publish works that capture their unique journeys. Jim finds the most satisfaction from empowering others to share their stories, watching as they translate once-hidden experiences into impactful books, products, and content that make a genuine connection with others. This outcomes-focused mission underscores his belief that every individual possesses a wealth of value that deserves to be seen and distributed. To experience the transformative approach Jim champions, visit his website and discover the tools, training, and supportive community dedicated to helping you uncover, refine, and distribute your own soul content. Harness the power of your unique story and take the next step toward authentic influence and impact through Copy and Content AI. For the accessible version of the podcast, go to our Ziotag gallery.We're happy you're here! Like the pod?Support the podcast and receive discounts from our sponsors: https://yourbrandamplified.codeadx.me/Leave a rating and review on your favorite platformFollow @yourbrandamplified on the socialsTalk to my digital avatar Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

When we are trying to solve a problem, what happens? We find ourselves weighing arguments, or relying on intuition, then reaching a conscious decision about what to do. What is going on behind the scenes? In The Emergent Mind: How Intelligence Arises in People and Machines (Basic Books, 2025), Gaurav Suri and Jay McClelland show that our experience is the tip of an iceberg of brain activity that can be captured in an artificial neural network. Such networks--initially developed as models of ourselves--have become the engines of artificial neural intelligence. Suri and McClelland aren't reducing mankind to mere machines. Rather, they are showing how a data-driven neural network can create thoughts, emotions, and ideas--a mind--whether in humans or computers. The Emergent Mind provides a fascinating account of how we reach decisions, why we change our minds, and how we are affected by context and experience. Ultimately, the book gives a new answer to one of our oldest questions: Not just how do minds work, but what does it mean to be a mind at all? Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Fitzy’s got an insane story about a woman who survived a small plane crash but here’s the twist: when people were trying to warn her, she couldn’t hear them because she was deaf! Thankfully, she made it out alive. So, we’re bringing back What Are The Chances? to see if anyone can beat that story… and just wait till you hear what we found out about skill tester machines!See omnystudio.com/listener for privacy information.

durée : 00:11:52 - Les Enjeux internationaux - par : Astrid de Villaines - Au cœur des Grandes Purges de 1937, un procureur soviétique croit servir la justice avant de découvrir la machine de la terreur. Adapté d'une nouvelle de Georgi Demidov, rescapé du Goulag, le film de Sergei Loznitsa explore l'ironie tragique d'un système qui détruit ses plus loyaux serviteurs. - réalisation : Félicie Faugère - invités : Sergei Loznitsa Réalisateur

When we are trying to solve a problem, what happens? We find ourselves weighing arguments, or relying on intuition, then reaching a conscious decision about what to do. What is going on behind the scenes? In The Emergent Mind: How Intelligence Arises in People and Machines (Basic Books, 2025), Gaurav Suri and Jay McClelland show that our experience is the tip of an iceberg of brain activity that can be captured in an artificial neural network. Such networks--initially developed as models of ourselves--have become the engines of artificial neural intelligence. Suri and McClelland aren't reducing mankind to mere machines. Rather, they are showing how a data-driven neural network can create thoughts, emotions, and ideas--a mind--whether in humans or computers. The Emergent Mind provides a fascinating account of how we reach decisions, why we change our minds, and how we are affected by context and experience. Ultimately, the book gives a new answer to one of our oldest questions: Not just how do minds work, but what does it mean to be a mind at all? Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

We discuss the hottest topics from the week!Chainsaw Man Takes Boxx OfficePS2 Turns 25Stranger Things Finale Hitting Theaters?Homelander's Kool-AidBatman Sequel Set a Week After PenguinNo Darkseid for Gunn?Elizabeth Olsen Wants Back InSigourney Weaver on why she joined ‘The Mandalorian and Grogu'Cliff Booth Release in Summer of 2026Michael B Jordan & Austin Butler is in talks to star in Joseph Kosinski's ‘Miami Vice' filmSydney Sweeney was asked if she would ever play a James Bond girl'Mitchells vs the Machines 2' is in the works at Sony ChairsJoin the conversation... FacebookInstagramTwitterTikTokYouTubeRate/Review/Subscribe:Apple PodcastsSpotifyYouTube

The way to improve physical intelligence is to simulate, discover, and do.A dropped box tells the truth. That little skid and thud is a progress report one can feel. In this episode, Tough Tech Today Co-Hosts Forrest and JMill trace the full arc of “physical” intelligence: how we simulate the world, discover what to build, and then make hardware that learns while doing real work.First, simulate: Before a wheel ever touches regolith or a gripper meets a crate, we spin up physics-rich worlds and run them by the thousands. This is not to find a perfect script, but to survive the imperfect ones. If a machine's behavior holds up to domain randomization, messy lighting, uncertain friction… it may stand a chance on day one.Then, discover: Imagine an autonomous lab bench where pipettes, sensors, and models conspire to explore their search space. The point is not cute demos, but rather new catalysts, sturdier materials, better routes to medicines. Humans keep the compass while the system earns its stripes by proposing and testing the next steps.Finally, do: The shop floor is where timing and torque decide what actually works. Machine vision has been around for decades; what changes now is adaptation. Tactile data, trustworthy actuation, and feedback loops tight enough to correct mid-cycle help make open loops into closed loops. Ideally, we see waste reduce, uptime climb, and skills accumulate.We also discuss the future of work and work-of-the-future. General-purpose agents capabilities will probably not arrive in a headline, instead percolating as a thousand small skills that survive contact with clutter, dust, heat, and schedule slips. That means building for failure an organization can recover from, staging rollouts, red-teaming the edge cases, and being clear who is on the hook when something goes wrong.If we get this right, the wins will look, well, ordinary: fewer knobs to tune, fewer reworks, more jobs finished on time. But what is exception is that models are becoming matter, the foundation of systems that quietly improve with use. And what about that dropped box? It becomes a better grasp the very next cycle, with the machine's learnings shared across a hundred robots operating among a swarm, broadcast to thousands of work cells around the world.P.S. Thank you to our tough tech champions. We really appreciate your support. We have pay-if-you-can membership options so you can help us bring Tough Tech Today to more folks!

Listen to today's Laugh Again with Phil Callaway, "Help! The Machines Are Coming." Enjoy!

What is a brain-computer interface? How can a paralyzed person use her brain to control a robotic arm? How can someone who's lost the gift of speech use brain signals to broadcast his voice again? Can we eventually restore autonomy and dignity so seamlessly that the technology disappears and the person reappears? Where are the ethical boundaries between restoring function and spying on private thought? Who owns the stream of neural data that represents you? Join this week with guest neuroscientist Sergey Stavisky as we dive into the world of interfacing brains and machines.

In this empowering solo episode, Transform My Dance Studio host and DSOA CEO Olivia Mode-Cater flips the script on recital season. What if your recital wasn't just a show—but your studio's biggest retention and revenue driver? Olivia dives into how to make your recitals a celebration that's as profitable as it is meaningful. You'll learn exactly how to turn your biggest event into a loyalty-building, memory-making machine that keeps families coming back year after year. From tiered ticket pricing to program shout-outs and backstage busy bags, Olivia shares five simple yet powerful strategies to boost your bottom line and create a more joyful, stress-free experience for families. If you've ever said, “My recital just breaks even,” this episode is your permission slip to think—and charge—like a CEO. You'll learn: Why “break-even” recitals are costing you money and momentum The psychology behind premium seating and tiered ticket pricing How to use your recital program as prime real estate for new revenue The genius of “on-stage shoutouts” and why families love them Creative ways to involve teens while adding value for parents How to design “Backstage Busy Bags” that delight dancers and drive profit The mindset shift that transforms your recital from event to experience How every upsell can also increase loyalty and reduce family stress Why the small details are what keep families coming back year after year Olivia's one action step to make this your most profitable recital yet If you have been just breaking even or losing money on your recitals, this one is for you!  

Machines won't build trust with your clients, prospects, or team members — you will. But in a world where AI can generate perfect words in seconds, how do you stay authentic and use it without losing your voice? In this episode, I'll share a simple mindset shift and powerful framework to help you use AI without letting it use you — especially in high-stakes conversations. You'll learn how to trust your intuition, think creatively, and strengthen your communication muscles, so you can lead and connect with real authenticity. What you'll learn in this episode: Why relying too much on AI can weaken your communication intuition The right question to ask yourself before using ChatGPT How to combine your intuition with AI for more authentic, powerful communication This video is perfect for entrepreneurs, business leaders, and sales professionals who want to communicate with confidence and use AI as a partner — not a crutch. Your next move :

Send me a text (I will personally respond)The DataTribe Challenge is the headline event in the afternoon at Cyber Innovation Day 2025, where five exceptional startups will take the stage after weeks of hands-on coaching. This is a short showcase episode featuring Tensor Machines and their Co-Founder and CEO Muneeb Rasool. Support the showFollow me on LinkedIn for regular posts about growing your cybersecurity startupWant to grow your revenue faster? Check out my consulting and trainingNeed ideas about how to grow your pipeline? Sign up for my newsletter.

In this meeting, TJ and Lucas discussed their experiences at the Blade Show West and Lucas's plans to refocus on custom folders, while also addressing machine maintenance issues and tool life challenges. They explored various solutions for Lucas's shop, including air compressor options and the importance of understanding financial statements for business decisions. The conversation concluded with a discussion about the value of networking and seeking advice from experienced individuals to help grow their businesses.

A daily comedy podcast where Kris Rubio dives into documentaries and movies to explore real-world stories, absurd moments, and unexpected truths—then turns them into laughter. Each episode highlights key moments from a film or doc, followed by Kris's personal reflections, jokes, and tangents that connect entertainment, culture, and everyday life. It's part documentary commentary, part stand-up workshop, and 100% spontaneous creativity.New episodes drop Monday through Friday, 15 minutes or less. Educational. Funny. Unexpected. Because in Kris's world, reality is optional.

Luke Wroblewski of Sutter Hill Ventures joins the podcast to discuss the paradigm shift in building AI applications. He explains how the traditional model of “code + database” is being replaced by “URL + model,” where the AI agent itself becomes the application logic. Subscribe to the Gradient Flow Newsletter

What happens when technology meets money mindset? In this conversation, Elizabeth Ayoola — writer, finance expert, and co-host of NerdWallet's Smart Money Podcast — shares how she went from writing $8 articles as a new mom to building lasting financial freedom. We get into how AI is reshaping personal finance, why emotional awareness still beats automation, and what it really takes to feel confident with your money — no spreadsheets required. You'll walk away with: A smarter way to think about AI's role in your financial life How to choose tools that actually support your habits and goals Why mindset (not math) drives lasting wealth A practical framework for building confidence with your money Want more real talk like this — plus practical tips to help you use what you hear on the show? Sign up here for Talkin' Points, a weekly newsletter with smart, judgment-free money insights delivered straight to your inbox. Be sure to like and follow the show on your favorite podcast app! Keep the conversation going on Instagram @everyonestalkinmoney Thank you to our sponsors!  Policygenius - Head to policygenius.com to compare free life insurance quotes from top companies and see how much you could save.  Learn more about your ad choices. Visit megaphone.fm/adchoices

How exactly does the mind work? How do we learn and make decisions? And how does that compare to the way AI thinks? In their new book, “The Emergent Mind: How Intelligence Arises in People and Machines,” San Francisco State psychologist Gaurav Suri and Stanford's Jay McClelland examine how neural networks work in our brains, and in AI. Guests: Gaurav Suri, computational neuroscientist and professor, San Francisco State University Jay McClelland, professor and director of the Center for Mind, Brain, Computation and Technology, Stanford University Learn more about your ad choices. Visit megaphone.fm/adchoices

A special look at episode 1 of Mike Baker's PDB special subscriber only series: On September 26th, 1983, the world came closer to nuclear war than most people ever realized. Inside a secret Soviet bunker, Lieutenant Colonel Stanislav Petrov faced a terrifying choice: trust the computers that screamed U.S. missiles were on the way—or trust his gut. Protocol said one phone call could unleash thousands of Soviet warheads and end civilization in less than an hour.This is the story of how one man's decision in the middle of the night may have saved humanity.In this first episode of PDB's The Day the World Almost Ended, Mike Baker takes you inside the Cold War's most dangerous moment, explores the global tensions that set the stage, and explains why Petrov's judgment still matters in today's world of AI, cyber threats, and hair-trigger nuclear systems.Watch now to learn how close we came to annihilation—and why the fate of billions rested on a single man at a console in 1983. Learn more about your ad choices. Visit megaphone.fm/adchoices

PREVIEW HEADLINE: China's Failed Attempt to Reverse Engineer ASML's Top-Tier Fab Machines: Intellectual Property at Risk GUEST NAME: Theresa Fallon (speaking from Brussels) 100-WORD SUMMARY: John Batchelor and Theresa Fallon discussed an anecdote illustrating the risk to intellectual property posed by the People's Republic of China concerning ASML, a critical manufacturer of fab machines necessary for TSMC to create top-of-the-line microchips for AI. Fallon shared that high-level ASML engineers were sent to China to "repair" an older machine the Chinese had acquired before sanctions. The engineers discovered the machine was not broken but had been completely taken apart. The Chinese were attempting to reverse engineer the very advanced machinery but were unable to put it back together again properly. This failure led the Chinese to call in the ASML engineers. The conversation highlights China's efforts to acquire proprietary technology by trying to take apart sophisticated equipment. 1963

Mind Pump Fit Tip: Best Ways to Strength Train Without Weights or Machines. (1:58) Iron sharpens iron. (23:15) Get stronger muscles with red-light therapy. (30:36) Sitting vs standing when wiping. (34:49) AI hallucinations. (37:42) Predicting future trends. (44:45) The Good vs. The Great. (51:01) #Quah question #1 – With progressive overload, is it more than you did recently or more than you've ever done? Sometimes I wonder if I'm building progress when I go back to an exercise I haven't done in a while, and I'm making progress week by week, but still lifting less weight than I did in that exercise in the past. (54:01) #Quah question #2 – Should your first set be the heaviest and then go lighter or vice versa? (56:28) #Quah question #3 – Does it matter what time you go to bed, as long as you get 8 hours? (58:52) #Quah question #4 – I am looking to lose fat but also want to add some muscle. What should I focus on first? I have been lifting consistently for several years and have put on some belly fat. I am consuming approximately 1600-1700 calories with 130-140 grams of protein. I'm doing Muscle Mommy, but the fat doesn't want to leave. Any suggestions? (1:00:02) Related Links/Products Mentioned Visit Joovv for an exclusive offer for Mind Pump listeners! ** Code MINDPUMP to get $50 off your first purchase. ** Visit Caldera Lab for an exclusive offer for Mind Pump listeners! **Code MINDPUMP20 for 20% off your first order of their best products. ** October Special: MAPS GLP-1 50% off! ** Code GLP50 at checkout. ** Mind Pump #2137: The Best Suspension Training Workout Plan for Beginners Mind Pump #1362: What You Can Learn About Building Muscle from Inmates, Gymnasts and Sprinters Mind Pump #2080: Get Jacked With Bands! Sal Di Stefano's Journey in Faith & Fitness – Mind Pump TV Low-Intensity Light Therapy: Exploring the Role of Redox Mechanisms Effects of Light-Emitting Diode Therapy on Muscle Hypertrophy, Gene Expression, Performance, Damage, and Delayed-Onset Muscle Soreness How To Get Stronger Muscles From Light Therapy Wiping Sitting vs. Standing Talent Agents Circle AI Actress Tilly Norwood Caldera Lab Science Visit Transcend for this month's exclusive Mind Pump offer! ** Telehealth Provider • Physician Directed GET YOUR PERSONALIZED TREATMENT PLAN!  Hormone Replacement Therapy, Cognitive Function, Sleep & Fatigue, Athletic Performance and MORE! ** Muscle Mommy Movement Mind Pump #2690: The NEW DIET Everyone Is Using For Fat Loss Mind Pump Podcast – YouTube Mind Pump Free Resources People Mentioned Jason Khalipa (@jasonkhalipa) Instagram