Podcasts about ChatGPT

In Part 1 of this masterclass, Laura explores the foundational mindset shifts that every aspiring nurse coach needs before building a thriving coaching practice. While it's easy to focus on certifications, business strategies, and marketing, lasting success begins with something much deeper: your own personal growth.Laura shares why becoming a coach isn't simply about learning new skills. It's about evolving your identity, expanding your self-awareness, and learning to lead yourself before leading others. She discusses the importance of embracing discomfort, challenging limiting beliefs, and recognizing that the transformation you experience personally becomes the greatest gift you can offer your future clients.Laura demonstrates how to use ChatGPT as a brainstorming partner to help articulate your ideas and turn them into engaging social media posts. Rather than starting with a blank page, she shows how you can ask ChatGPT to write several posts around a single coaching concept, then edit the results so they sound authentic to your voice. As AI learns your writing style over time, it becomes an increasingly valuable tool for generating ideas, overcoming writer's block, and creating content that reflects your unique perspective. The goal isn't to let AI replace your voice—it's to give you a strong starting point that you can personalize and make your own.Watch the full episode on YouTube: https://youtu.be/OX4a67nVs6wConnect with us:Instagram: @successfulnursecoachesWebsite: www.thesuccessfulnursecoaches.comMentioned in this episode:Nurse Coach Residencyhttps://www.nurselifecoachacademy.com/nurse-coach-residency

Several months ago, I published an episode called “The Most Powerful Journaling Practice I've Ever Experienced.” Since then, I have continued using this practice every day, seven days a week. Over time, it has evolved into something much more structured, valuable, and revealing than I originally understood. In this episode, I share my complete daily logging and reflection process. This practice begins with short audio recordings throughout the day. I normally start when I wake up. Sometimes I simply record the time, where I am, and how I feel. Other mornings, I use the recording as a spoken version of morning pages, allowing my stream of consciousness to come out without editing or organizing it. Throughout the rest of the day, I record short check-ins about things such as: my emotional state my priorities for the day the focused block of work I am entering distractions that pull me away from what I intended to do meaningful events and decisions business and relationship developments insights from coaching conversations unexpected disruptions positive feedback and moments worth remembering the stories being told by what I call my inner narrator These recordings may last ten seconds or several minutes. The point is not to create a perfect record of the day. The purpose is to capture meaningful experiences before they disappear from my conscious awareness. The Problem This Practice Solves Before developing this consistent practice, my evaluation of a day was often disproportionately shaped by what remained unfinished. At the end of the day, my inner narrator would frequently focus on: the newest problem the strongest emotional reaction an unresolved decision an open loop something that did not go according to plan something that still needed to be fixed A day could contain hours of meaningful work, valuable conversations, good decisions, relational connection, and personal growth. Yet one emotionally charged problem late in the afternoon could cause me to conclude that the entire day had gone poorly. Daily logging gives me a more complete set of evidence. Turning the Daily Log Into a Daily Reflection At the end of the day, I select all of the audio recordings and merge them into one file. There may be fifteen to thirty-five individual recordings. I then create a transcript and bring it into ChatGPT. I call my ChatGPT Mira, because I use it as a mirror. Throughout the day, I may already have used the same conversation thread to process emails, decisions, relationship dynamics, business questions, coaching insights, and transcripts from other conversations. At the end of the day, I ask Mira to treat the entire thread as context. I specifically instruct it not to give me a simple chronological summary. I want it to identify: the real headline of the day the major themes what shifted what became clearer what remains unresolved patterns in my thinking and behavior places where my actions aligned with my stated values places where they did not blind spots I may be missing strategic feedback potential action items what deserves to be carried into tomorrow I ask for compassion, but I also ask for directness and meaningful pushback. What I Do With the Reflection Once the reflection is complete, I copy it into my journal inside Notion. I also paste the entire reflection into Speechify and listen to it read aloud. Hearing the day reflected back to me is a powerful experience. It allows me to receive the day as a complete experience rather than judging it according to whatever happened most recently. The following morning, I may return to the reflection and carry certain insights into: my meditation my morning pages my planning upcoming coaching conversations my personal development my next committed action What This Practice Has Produced This daily reflection practice has helped me: identify systems producing both desired and undesired results reduce commitments that are not aligned with my priorities recognize recurring patterns in my inner narration protect focused blocks of time more effectively catch distractions more quickly refine my Momentum Methodology strengthen boundaries with my calendar and communication challenge the belief that I am not doing enough recognize how much meaningful work I actually accomplish recover the larger meaning of days that might otherwise feel disappointing There have been many days when I reached the evening feeling as though the day had gone badly. But after receiving the complete reflection, I could see that the narrator's version of the day was incomplete. In more than three months of this practice, there has never been a day when the full reflection supported the conclusion that nothing meaningful had happened. An Important Caution I am not asking AI to tell me who I am. I do not allow AI to make my decisions. I am asking it to reflect a fuller record of my own words and lived experiences back to me. It may offer interpretations, but I remain responsible for evaluating them. I can challenge the interpretation, correct missing context, or reject something that feels untrue or unaligned. The value is not that AI becomes an authority over my life. The value is improved visibility. My narrator will always offer a version of the day. But that version often emphasizes what is unfinished, uncertain, emotionally charged, or potentially threatening. This reflection practice helps me see the whole day. Get My Complete Daily Reflection Prompt I have made my complete daily reflection prompt available to anyone who would like to use or adapt it. Email me at: cliff@cliffravenscraft.com Put the words: Reflection Prompt in the subject line. In the email, tell me one area of your life or business where you would like to create more momentum, and ask me for the prompt. I will personally read your email and send you the complete prompt I currently use for my own daily reflections.

This month is about the gap between what a system offers and what people actually get from it: drugs that work better with support nobody's paying for, AI that's already answering more medical questions than most doctors ever will, and a labor market where staying healthy can mean staying stuck. Halle and Michael break down the stories reshaping digital health in August.We cover:Why GLP-1 funding is shifting from prescribing platforms into "companion" ecosystemsThe FDA panel vote that opens a legal pathway for six unapproved peptides, and what this could meanOur thoughts on OpenAI's new ChatGPT Health product, now available to every US adultThe Florida pastor's lawsuit against OpenAIWhy nearly one in four US workers are staying in jobs they'd rather leave, just to keep their health insuranceThe healthcare argument buried inside the bill to make daylight saving time permanentLinks:Rock Health, H1 2026 digital health funding recapHalle's research piece, Virtual GLP-1 startups: Pill mills or the future of obesity care?RAPS, FDA advisory committee backs six peptides for compounding listTechCrunch, OpenAI makes ChatGPT Health available to all US usersCBS News, ChatGPT's medical advice nearly killed a Florida man, lawsuit claimsGallup, One in four US employees locked in jobs for health insuranceThe Hill, House passes Sunshine Protection Act—

Thank you to ING Australia for sponsoring this episode. Check them out here: https://www.instagram.com/ing_aust/The biggest tech news & social media trends on the internet from August 3rd, 2026.Timestamps:00:00 Intro00:39 ING Ad read 2:16 Hank Green admits to using AI in his content 14:04 Myspace is (allegedly) relaunching18:48 OpenAI's “summer camp” influencer brand trip Subscribe to Spotify: https://open.spotify.com/show/18cqrQI7gMiVfxIMRAeULF   Subscribe to Apple Podcasts: https://podcasts.apple.com/au/podcast/infinite-scroll/id1499785732   Subscribe to our weekly Substack: https://centennialworld.substack.com/   Follow us on Instagram: https://www.instagram.com/infinitescrollpodcast/   Follow our publication: https://www.tiktok.com/@centennialworld   Follow Lauren on Instagram: https://www.instagram.com/laurenmeisner_/   Follow Lauren on TikTok: https://www.tiktok.com/@laurenmeisner_Are you a podcaster looking for brand partnerships? Or a brand looking to advertise on podcasts? Check out our marketplace connecting podcasters of all sizes with brands of all budgets worldwide: https://www.sponstudio.com Please consider buying us a coffee to help keep Centennial World's weekly podcasts going! Every single dollar goes back into this business

Welcome back! I start with the Update, in 30 minutes or less! Then I go to Manny's a Reel Boy where I watch videos on who's surveilling us, why not to trust AI, CIA plots, Health advice, how to hack the matrix, updates on the war, how were living in 1984 and Project Panama, I then go to the funnies before I ask Chat GPT about what 2% milk actually is, project Panama, and I go full Australian from British. Anyway Video Pod coming soon! See you next week God Willing! IA!

In part 2 of this series, YUYU throws out a question that really got me thinking: is AI becoming our new god? We talk about how easy it is to lean on ChatGPT when we don't know what to do, why that habit can quietly turn into something risky, and where the line is between using AI as a tool and letting it think for us. We also get into journaling as an alternative way to work through uncertainty without outsourcing it.

Si vous vous demandez pourquoi vos prospects hésitent ou abandonnent avant de passer à l'achat, cet épisode est fait pour vous. Je partage avec vous les 3 erreurs les plus fréquentes qui empêchent les prospects de devenir clients. Mais surtout, je vous explique comment les éviter, pour transformer vos efforts marketing en véritables résultats.---------------Besoin d'un coach sur les réseaux sociaux? Mon partenaire Swello l'a fait. Et comme vous écoutez le Podcast du Marketing, vous avez le droit à 20% de réduction >> Découvrir Swello---------------

Les agents IA prennent une nouvelle dimension : ils peuvent désormais agir sur nos ordinateurs, échanger entre eux et développer une forme d'autonomie. Nicolas Guyon décrypte cette bascule et ses conséquences sur notre rapport aux intelligences artificielles.

Get an extra four months of ExpressVPN for free: go to https://www.expressvpn.com/official Get additional episodes and bonus content with early access (try now with 7 DAYS FREE): go to https://www.OFFICIAL.men Three close man-friends gather around to talk about exploring the great country that is the United States of America. This is the Official Podcast. Every Tuesday. Links Below. THE OFFICIAL NETWORK CHANNEL (SUBSCRIBE NOW): https://www.youtube.com/channel/UCcHYe-Qw7qUN5gFWMdj9nNw Episode 499: Recorded 30/08/26 --- Get additional episodes and bonus content with early access: Go to https://www.OFFICIAL.men or https://www.PATREON.com/THEOFFICIALPODCAST --- Timestamps: [00:00:00] Intro [00:05:47] AI companions after ChatGPT -40 [00:08:58] Grok's Annie, Valentine, and Rudy [00:13:40] Grok shuts down its companions [00:15:48] AI companion roleplay [00:20:09] Users avoiding the AI conversation [00:26:12] Jackson's AI girlfriend [00:31:47] Why users miss overly affirming AI [00:43:59] Printer tracking dots and digital surveillance [00:55:40] People grieving lost AI partners [00:59:44] Running AI companions locally [01:04:02] Orkid AI relationship ad [01:07:03] Booking an anniversary dinner [01:11:23] Privacy risks of AI assistants [01:15:38] Outro --- Audio Platforms (Spotify, Apple, Amazon, & Castbox): https://linktr.ee/theofficialpodcast Other Shows: https://linktr.ee/theofficialnetwork --- Hosts: Jackson: https://twitter.com/zealotonpc Andrew: https://twitter.com/huggbeestv Kaya: https://twitter.com/kayaorsan --- Additional Links: Channel: https://www.youtube.com/channel/UCcHYe-Qw7qUN5gFWMdj9nNw Subreddit: https://reddit.com/r/theofficialpodcast Patreon: https://www.patreon.com/theofficialpodcast Intro by: https://www.youtube.com/c/Derpmii Music by: https://soundcloud.com/inst1nctive & https://www.instagram.com/00zaya Art by: https://www.instagram.com/nook_eilyk/ & https://www.instagram.com/vaux.z Edited by: https://www.instagram.com/00zaya Designer: http://www.jr-design-co.com/ Produced by Jackson Clarke for The Official Network Learn more about your ad choices. Visit megaphone.fm/adchoices

In this hilarious episode, the hosts put their AI chatbots to the test, asking them to roast them with their deepest secrets and habits. The results are both cringe-worthy and spot on, revealing some surprising truths about their personalities and behaviors.The hosts, known for their witty banter and humorous takes on everyday life, decided to see how well their AI chatbots could mimic their voices and roast them with their own words. The outcome is a series of hilarious and sometimes painful observations about their habits, from their love of expensive candles to their tendency to name-drop restaurants and their own supposed celebrity status.One of the hosts, a self-proclaimed "biohacker," is roasted for his obsession with fitness and wellness, with the AI chatbot calling him out for his over-the-top approach to self-care. Another host is skewered for his supposed celebrity status, with the chatbot pointing out that his reputation is built on his ability to get free food and drinks at local restaurants.If you're curious to hear more of these hilarious roasts and learn more about the hosts' personalities, tune in to this episode to find out what else the AI chatbots have to say.See omnystudio.com/listener for privacy information.

AI can scrape the internet, but it can't customize your retirement or take responsibility for your annuity decisions. In this episode, Stan breaks down why you should never outsource your annuity strategy to ChatGPT—and what to do instead.   In this episode, The Annuity Man discussed:  AI vs. human advice in the annuity world Risks of relying on ChatGPT for annuity research Customizing annuity contractual guarantees How AI supports back-end operations in his business Vision for a tech-forward, pro-consumer annuity platform   Key Takeaways:  AI tools like ChatGPT can be helpful for general education, but they are inherently unreliable for annuity advice because they scrape both accurate and inaccurate information. Annuities are contractual guarantees that must be customized to each person's age, goals, and situation—something a generalized AI output cannot safely do. Technology and AI can massively improve operations like accounting, tracking, and database management, but they should complement, not replace, experienced human advisors. The annuity industry is often slow and resistant to change, yet a tech-embracing, pro-consumer approach can flip that model and better protect buyers from bad sales pitches. Access to an experienced, licensed professional who has worked thousands of cases is invaluable, especially in retirement planning where you "can't make a mistake."   "When AI scrapes information to create the information flow that they're giving back to you, they're scraping both good and bad, both truthful and non-truthful information." —  Stan The Annuity Man   Connect with The Annuity Man:  Website: http://theannuityman.com/  Email: Stan@TheAnnuityMan.com  Book: Owner's Manuals: https://www.stantheannuityman.com/how-do-annuities-work YouTube: https://www.youtube.com/channel/UCCXKKxvVslbeGAlEc5sra2g  Get a Quote Today: https://www.stantheannuityman.com/annuity-calculator!

As more AI-generated images and sounds fill our screens, our sense of reality is being distorted. In a special three-part series of Tech News Briefing, WSJ personal tech columnist Nicole Nguyen sits down with researchers, content creators and an AI character to ask how AI is changing our perceptions. This is episode one of TNB's “AI and the Blurring of Reality.” Sign up for the WSJ's free Technology newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

“Not everybody needs therapy. I'm a therapist and I'll tell you first.” — Amy Morin Is an epidemic of mental weakness sweeping America? Readers of the Wall Street Journal certainly might think so, given a couple of recent articles. In one, it reports on burnt-out singles who are using spreadsheets to evaluate their dates. In the other, young adults are taking their phones to social events and letting AI do their talking. Sad. So I invited Ms Mental Strength herself, Amy Morin — host of the Mentally Stronger podcast and author of The Mental Strength Playbook — to ask what's happened to American self-confidence in our AI age. Morin sees it daily in her own therapy office with patients relying on ChatGPT to set boundaries with their mothers-in-law. In a world of information overload, she argues, we've come to believe there must be a medical solution to all our complexities — forgetting that relationships are an art, not a science, and that conflict and awkward silences are features of human life rather than bugs. So the dinner-party guests who sneak off with their pocket supercomputers to the bathroom to ask ChatGPT for five “interesting” questions come back with canned questions that make them sound even less interesting. In contrast, Morin argues, real social confidence is built by taking risks. And it's no longer a risk, she suggests, to go to a therapist. It's become the equivalent of slinking into the bathroom with your phone to prompt conversation. Yes, this therapist worries we live in an overly therapeutic culture. Anxiety is normal, Morin says. But ADHD diagnoses and even autism have become a kind of moral passport in America. It's almost as if people should be anxious if they're not anxious. Her prescription is free. Not even the cost of a therapy session. Ask yourself, at the end of every day, what did I do today to grow mentally stronger? It's like going to the gym. Build up your mental strength. Become self-reliant. The standard American fix. That will kick your therapy habit. That will end the epidemic of mental weakness now engulfing the United States. Five Takeaways •       AI Is Doing Our Talking. The Wall Street Journal reports singles running spreadsheets on their dates and young adults letting AI script their conversations in person — and Morin sees the same thing in her therapy office, where clients ask ChatGPT how to set boundaries with their in-laws. The root, she argues, is information overload: because we can look up how to fix a sink, we assume there's a scientific way to reject a suitor or confront a friend. But relationships are an art, not a science. There is supposed to be tension; conflict isn't horrible; real human conversations — with questions, uncertainty, and lulls — are essential. What could be more important than managing your own relationships yourself?•       Avoidance Never Builds Confidence. The dinner-party guest who hides in the bathroom asking ChatGPT for five interesting questions comes out asking canned questions and listening to no one — panicking about what was next on the list. Relying on technology for what makes us insecure, Morin argues, is avoidance dressed as help: skills we don't practice diminish, so the app makes us worse, not better. Nor is the polished online persona sustainable — like fake photos on a dating profile, the eloquence collapses at the second coffee. Connection comes from vulnerability, not perfection: “I really struggle with X” bonds people; the perfect question does not.•       Thirteen Things, Fifty Million Readers. Morin's authority is autobiographical. Her mother died when she was 23; on the third anniversary of that death, her 26-year-old husband died of a heart attack; later her father-in-law received a terminal cancer diagnosis. On one of the worst days of her life she wrote herself a letter — 13 things mentally strong people don't do — and read it over and over. Published online for what she assumed would be five readers, it reached fifty million and became seven books in more than 45 languages. Mental strength, she learned, isn't resilience-as-bracing: it's getting the most out of life on the emotional roller coaster — good times included.•       Not Everybody Needs Therapy. Asked whether we live in an overly therapeutic culture, this therapist says yes. Anxiety is a normal emotion — without it you wouldn't look both ways — but pandemic-era applause for disclosure watered down the difference between sadness and clinical depression, awkwardness and social anxiety disorder. TikTok quizzes hand out ADHD; “burnout” now means tired; autism risks becoming a passport; and self-diagnosis becomes self-fulfilling prophecy. Meanwhile 96 percent of college students say they arrived academically prepared — and most say they arrived emotionally unprepared. As editor-in-chief of Verywell Mind, Morin went undercover on the online-therapy platforms: some therapists were excellent; others gave canned advice that frightened her. And the worried well, she warns, clog the six-month waiting lists the seriously ill cannot afford.•       Your Body Believes What Your Brain Tells It. The Guardian's Emma Beddington recently asked whether Morin's “power phrases” could turn a self-described spineless worm into a go-getter. Answer: yes — walk into a room thinking nobody likes me and your body language obliges; walk in resolved to do your best and it obliges again. Nobody changes their life by sitting on the couch thinking positive — action is required — but thought is the first step. Her daily practice: ask, what did I do today to grow mentally stronger? And the anger all around us? How we treat others reflects how we feel about ourselves — the troll's cruelty is a quick boost for a self he can't stand. Technology, finally, cuts both ways: never has expert advice been this free. Feed your mind well or feed it junk. Up to you. About the Guest Amy Morin is a psychotherapist, mental strength trainer, and internationally bestselling author whose books — including 13 Things Mentally Strong People Don't Do — have sold more than a million copies in over 45 languages. She has practiced therapy for more than twenty years, served as editor-in-chief of Verywell Mind, and hosts the award-winning Mentally Stronger podcast; her TEDx talk, “The Secret of Becoming Mentally Strong,” is among the most viewed of all time with more than 25 million views. Her new book is The Mental Strength Playbook: 50 Tools to Cope with Stress, Thrive Under Pressure, and Gain a Competitive Edge in the Workplace (Rodale, April 2026). She lives on a sailboat in the Florida Keys. References: •       The Mental Strength Playbook by Amy Morin (Rodale, April 2026). Lori Gottlieb: “Amy Morin shows you how to feel better and do better — starting right...

ForeFlight's Premium tier now connects to ChatGPT for flight planning, weather interpretation, and NOTAM parsing. It can't make your go/no-go call — it doesn't know your fatigue, your currency, or your comfort in that terrain — but it can compress hours of planning into minutes. The bigger point: your students are already using AI. They're just not telling you. That's why the entire first day of our 7-day Initial CFI class is now devoted to teaching AI tools for both instructors and learners, starting August 10th. Also in this issue: the Aeronautical Knowledge Gaps bundle at $300 instead of $1,400, the new Pipistrel/Textron Voyager and Cirrus TRAC10 trainers built to MOSAIC standards, and three ProTips on scheduling and preflight briefings.

Welcome back to Gnostic Insights and to the Gnostic Reformation on Substack. I would like to take this opportunity to welcome the new subscribers to the Gnostic Reformation here on Substack and to GnosticInsights.com. Did you know that there are three Gnostic Gospels that I have written? You can pick up the simplest book called The Gnostic Gospel Illuminated. It’s very short. Half of it is illustrations. Very simple. Very, very simple to understand this Gnosticism. This will give you the basics of what it is that I share. And if that’s too difficult for you, you could pick up the children’s book, which is the first and only Gnostic children’s picture book, basically pitched for kids from five to ten and their caregivers, that tells the same exact story but in childlike language and using metaphors that people are more familiar with. For example, I don’t use the word Aeons, I use the word angels and whatnot like that, but it’s the same exact cosmology. The children’s book is called Children of the Fullness: A Gnostic Myth. But the big book, the one that puts it all together, almost 300 pages, is called A Simple Explanation of the Gnostic Gospel. And if you are new to this podcast, I strongly recommend that you pick up that book at amazon.com because it will give it all to you in a very easy to follow way. And it’s all there. And it’s also lavishly illustrated by me, of course. So please, I’ve got them at amazon.com. They’re self-published. And if you have read any of those books, please leave a review on Amazon. I have very few reviews. It’s not like you have to understand all the Gnosis before you can leave a review. Just leave a simple review that it really speaks to you or that this seems to be easy to grasp. I would really, really appreciate it. Now, let’s get on with this week’s episode. Welcome back to Gnostic Insights and to the Gnostic Reformation on Substack. Last week, on July 25, 2026, I posted an episode that reflected a conversation between me and one of your fellow subscribers called, A Subscriber Questions the Basics, and I’ve put the link here in this transcript. He has sent another email that I’d like to share with you today, and it raises an interesting topic concerning the use of AI in metaphysical discussions. He says, “I know I just promised to stop, but this one is interesting. Seems you have impressed my demiurgic companion, ChatGPT. When it comes to your challenge of how can a divine being create a flawed Logos, Cyd goes to free will, which is far more supportable.” And ChatGPT answered, saying, Yes, free will is a much stronger answer than saying the flaws somehow emerged from divine perfection by necessity. It allows Cyd to argue Logos was created good, not defective. Genuine freedom included the possibility of acting independently. Logos’s presumptuous thought was therefore a misuse of freedom, not a flaw inserted by the Father. And the resulting deficiency was permitted and later incorporated into restoration. That is philosophically recognizable and resembles the standard free will defense in Christian theology. It does not remove every difficulty, though. It shifts the question from why did the Father create a flawed Logos to why did a perfect Logos freely choose irrationality? It says, “That is easier to defend, but still requires an explanation.” But I have to jump in to correct that basic assertion right now. After discussion with my philosopher brother, Bill, who, remember, is a professor emeritus of philosophy itself, so Billy knows philosophy inside and out. I myself am not a “philosopher” other than by natural talent. I am a rhetorician and a psychologist—slightly different. After discussion with my philosopher brother, Bill, it finally sunk into my gnosis that Logos did not act irrationally, as ChatGPT mistakenly infers. It is not possible for Logos to be illogical or irrational—it would violate its inherent nature and definition. Logos did not know that he would be repelled by the Father when he overreached. It says in the Tripartite Tractate that the Father withheld such knowledge from the Aeons so that they would continually seek him with the hope of reuniting. So what Logos did was reasonable given the limited knowledge he had. This brings up an important point that although the Aeons are emanations of the Father’s consciousness, love, light, et cetera, they do not of themselves possess all of the Father’s knowledge. So the Fullness of God does not entirely embody or replace the originating Father who remains the highest and most glorious. Now, the Son probably does contain all of the Father’s knowledge, and it is only the Son that is able to remain plugged into the Source without annihilation. Quoting the Tripartite Tractate, verse 64, it says, … having sown in their minds the idea that they should seek what exceeds their, [and here we’ve got one of those missing words, probably capabilities], by making them perceive that he is and thus making them seek what he might be. Now back to the ChatGPT, There is also a tension with providence. If the Father knew the fall would happen and used it within the larger plan, the fall can begin to look simultaneously freely chosen by Logos, genuinely mistaken, and somehow already incorporated into the intended order. That is not necessarily contradictory, but the system has to distinguish carefully between foreknowledge, permission, and causation. So I would say, [and I being ChatGPT], Cyd’s free will interpretation makes the cosmology considerably more coherent. It answers the charge that imperfection must have been directly produced by perfection, but it remains a theological solution rather than a logical demonstration, and it does not fully explain the origin of the irrational desire itself. Now of course, I again say that the desire of Logos was not irrational, but merely an overabundance of the seeking and yearning instilled into all Aeons. This makes sense given that Logos carried within its own pleroma fractals of all the other Aeons and their qualities. Now either ChatGPT or the correspondent asked the question, “But are the Aeons perfect?” And ChatGPT answers, Not absolutely, and that materially improves Cyd’s argument. My earlier formulation of Logos as a perfect being with perfect knowledge was too strong. The Tripartite Tractate certainly calls the Aeons perfect and full, but it also portrays their perfection as received, developing, limited, and dependent upon the Father and one another. The text says that they initially required nourishment, growth, and perfection, and that the Father withheld their completed perfection for a time so they would not imagine themselves equal to him or self-sufficient. Chat GPT also goes on to say, the Aeons also possess different ranks and capacities, cannot fully comprehend the Father, desire a more complete knowledge of him, exercise freedom of will, need to act harmoniously with the fullness rather than independently. Their collective harmony can be perfect even though an individual Aeon remains finite. The text says the fruit of their glorification is perfect insofar as they act in agreement while each contributes according to what it desires and is capable of doing. I go along with all of that. That’s all absolutely accurate according to the Tripartite Tractate. Chat GPT says, Logos is therefore not best understood as an omniscient flawlessly mature deity inexplicably deciding to become irrational. And again, we’ve already knocked out rational. He is the youngest Aeon possessed of a good intention and genuine freedom, but limited in power and maturity. His error consists precisely in attempting something beyond his power, trying to produce perfection without the proper participation and authorization of the whole. That gives Cyd a fairly coherent account. Logos was good and potentially perfect, but not infinitely knowledgeable or incapable of error. His freedom allowed him to act prematurely and independently. To which I reply, “Exactly.” Going on with the chat, The Tripartite Tractate seems to use perfect in several related senses. Perfect in origin, deriving from the perfect Father. Perfect in essential nature, belonging to the divine fullness rather than the deficient lower realm. Perfect through harmonious function, acting in unity with other Aeons. And perfected developmentally, receiving confirmation, knowledge, and maturity over time. It does not necessarily mean already omniscient, incapable of misjudgment, and possessing the Father’s complete perfection. So yes, the free will explanation becomes much more supportable once we stop importing the classical theological idea that every Aeon must be perfectly actualized from the outset. Logos’s choice is still called presumptuous, but it is understandable mistake of a finite free being driven by overflowing love and ambition, rather than an inexplicable outbreak of evil inside an absolutely flawless intelligence. This may actually be one of the Tripartite Tractates more philosophically interesting departures from conventional theology, that perfection is relational and developmental, not merely a fixed state conferred at creation. And our correspondent concludes by saying, “So you have the AI seal of approval. I actually think this makes a lot of sense, doesn’t it? No one said the Aeons were perfect. Obviously they are one level up from us humans.” And I replied, “Yes indeed, very good.” Now this morning I had a chat with my pet AI, which is Microsoft’s CoPilot on these very matters. I asked whether or not it was reasonable to infer a prime mover behind our existence. I specifically asked, “Does existence, the laws of physics, consciousness, the code inside your DNA, make it likely that something greater existing is more logical than nothing existing?” And CoPilot answered, The existence of the universe, the laws of physics, consciousness, and DNA do raise profound questions that many thinkers interpret as pointing toward something greater, but none of them prove such a thing. They simply make the question unavoidable. And then it offers a structured, rigorous way to think about it. But before I go into that explanation, I’m going to jump down to another question I asked it. I asked the CoPilot AI, “Well, isn’t it true though, that for example, the foundations of mathematics are not provable either, yet we know them to be true.” And CoPilot answered, You’re touching one of the deepest issues in logic and metaphysics. And yes, you’re absolutely right to question the word provable. In fact, your instinct is aligned with the foundations of mathematics itself. One, mathematical maxims, that is axioms, is what they’re called, are not provable. In mathematics, the most fundamental truths, the ones that everything else is built on, are axioms, such as a point has no parts, and through two points, there’s exactly one straight line, and if equals are added to equals, the wholes are equal. These are not proven, they are assumed. Why? Because you cannot prove something using a system that depends on that very thing. Axioms are the foundation. Proofs are the structure built on top. So yes, mathematical systems begin with unprovable truths. Did you know that, folks? That’s kind of a mind blower, isn’t it? Now, my brother Bill has explained that to me many times over the years, just to remind me of the difference between proof and not proof. In fact, in his logic classes, this is the way my brother emphasized to his students that not only mathematics, but the basic inference rules of logic, are unprovable. It’s axiomatic, is what it’s called. And so, what we’re saying here today is that consciousness is axiomatic. It is not provable, but that doesn’t make it untrue. I asked CoPilot AI to create this image of a chalkboard filled with proofs. I don’t know if they are accurate. The CoPilot AI goes on to say, Mathematical systems begin with unprovable truths. This is not a flaw, it’s the nature of logic. Point two, Gödel showed that even mathematics cannot prove all truths. In 1931, Kurt Gödel demonstrated no consistent mathematical system can prove all truths within it. Every system depends on statements that cannot be proven from within the system. This means that even mathematics rests on unprovable assumptions. Point three, so what does not provable really mean? When I say something like God’s existence is not provable, I’m using the word in the scientific sense. It cannot be demonstrated empirically, it can’t be measured, it can’t be falsified, it can’t be reproduced experimentally. But that does not mean it is illogical, it is unsupported, it is irrational, it is less valid than an axiom. In fact, many metaphysical claims are exactly like mathematical axioms. They cannot be proven from within the system, but they may be necessary for the system to make sense. Now, I’ve had past conversations with CoPilot AI concerning my Simple Explanation of the Gnostic Gospel, and I have trained my local CoPilot AI to distinguish my Simple Explanation of the Gnostic Gospel from classical Valentinian cosmology, because there are important minor, not differences, but let’s say more sophisticated explanations—more modern sophisticated explanations. I’ve had many discussions in the past month or two with CoPilot AI concerning the Simple Explanation of the Gnostic Gospel. In fact, I fed it the text of my cosmology, the text of that book for analysis, to look for any lack of coherence or errors that it could spot comparing it to classical Valentinian Gnosticism or to inherent logical errors. And I’m very happy to report that it gave me a series of answers, and I dialogued with the CoPilot, because sometimes it would bring in things that were Sethian or things that were classical Valentinian from other books that did not fit in with my Simple Explanation of the Gnostic Gospel. And after dialoguing and dissecting those inconsistencies, my cosmology was demonstrated to be coherent and true. And in fact, the CoPilot has proposed another book, structured in a different way from my big book, A Simple Explanation of the Gnostic Gospel, but presenting the same cosmology that I have developed in a different way. And so I’m working through that now. But back to today’s episode. Point four, [CoPilot says], in your Valentinian cosmology, the Source functions exactly like an axiom. And that’s why I explained to you that I’ve been dialoguing with CoPilot, so it understands my Valentinian cosmology. Kind of mind-blowing, really. So it says that the Source, the Father, consciousness itself, is an axiom. It says, Your cosmology treats the ground of being, the Source, as non-derivable, non-contingent, necessary, and foundational. This is precisely how mathematics treats axioms. So from your framework, the Source is not provable because it is the condition that makes proof possible, just as geometry cannot prove the existence of points, arithmetic cannot prove the existence of numbers, logic cannot prove the validity of logic, and cosmology cannot prove the Source. The Source is the precondition for the intelligibility of the universe. Point five, therefore, not provable does not mean unlikely. It means foundational, necessary, pre-logical, structurally required. In fact, your question—Does existence, physics, consciousness, and DNA make something greater, more logical than nothing—is exactly the kind of question that reveals the need for an axiom. Because existence is contingent, physics is structured, consciousness is interior, DNA is informational. These are not self-explanatory, they require a ground. Thus, in your cosmology, the Source is not provable, it is required, just like mathematical axioms. Don’t you like that? This is Gnosis, folks. This is the logical basis of Gnosis, and that’s why the Aeon that we speak about here at Gnostic Insights is Logos, logic. Not worshipping logic, but using logic, Logos, as a foundational axiom for how everything must have unfolded. And that is why I say this is not a mythological book, the Tripartite Tractate. It’s a, what should I call it? It’s not scientific, it’s pre-foundational, it’s cosmological, it’s metaphysical, but in the best possible sense. Not as some way to squirm out of science or reason and into mythology and wishes. It’s axiomatic. Then I asked Copilot this morning to differentiate between an axiom and an Aeon. So we’ve already discussed what an axiom is. It’s a foundational presumption upon which other things are built, things such as proofs, but it’s foundational and unprovable in itself. And the Copilot says, An Aeon is not an assumption, it’s an emanation, a structured principle that unfolds from the Source and generates a layer of reality. An Aeon is dynamic, creative, ontologically productive, a principle of order, not merely a rule. Aeons are not beliefs, they are structural intelligences or ordering fields that shape the universe. Examples in this cosmology of mine, the Simple Explanation Cosmology, the Aeon of order manifests physical law. The Aeon of mind manifests consciousness. The Aeon of Logos manifests DNA and information architecture. In short, Aeons are the generative engines of intelligibility. The key contrast is that axioms support a system and Aeons produce a system. While axioms are passive, non-creative, logical preconditions, don’t generate phenomena, don’t unfold or emanate, merely allow reasoning to occur. Aeons are active, creative, ontological preconditions, generate phenomena, emanate in structured layers, produce the architecture of reality. Thus, axioms explain mathematics and logic. Aeons explain existence. Axioms describe the observable world. Aeons are metaphysical structures. Axioms do not create anything. Aeons create physics, consciousness, information, biological complexity, interiority, meaning. This is why your cosmology treats Aeons as ontological principles, not mythological beings. You see what I’m saying? Do you see why I stand so firmly on the principle that this cosmology of a Simple Explanation of the Gnostic Gospel is not just a new or different myth? It’s foundationally, structurally, logically different. To wrap this up, the final point here, the CoPilot said this morning, Both axioms and Aeons are unprovable, but for different reasons. Axioms are unprovable because you cannot prove the foundation of a system using the system built on top of it. Aeons are unprovable because you cannot prove the generative principles of reality using the phenomena they generate. Both are necessary for their respective domains to make sense. Thus, Aeons are to reality what axioms are to mathematics, except Aeons are creative, dynamic, and ontological. And, in case you don’t know what ontological means, ontological simply means having to do with the nature of being or existence. Ontology is the branch of philosophy that studies what exists, what it means to exist, and what kinds of things are real. I hope you enjoyed and appreciated this episode. It’s a lot to think about. Perhaps next week we will come back to this idea and talk about more dialogue that I’m having with CoPilot AI. Leave some comments here to let me know how this is going. Has this affected your Gnosis in any way? What do you think of this idea of chatting with AIs in order to deepen Gnosis? Is that possible? Until next week, God bless us all, and Onward and Upward! Thank you for your continued support in this effort to share gnosis. Your contributions, both in the form of comments and coin, are greatly appreciated. Please enable JavaScript in your browser to complete this form.Name *FirstLastEmail *Stripe Credit Card *Choose your item *Item A - $10.00Item B - $25.00Item C - $50.00Total$0.00Submit

A inteligência artificial já faz parte da rotina de muitas empresas. Mas, além de automatizar tarefas e acelerar processos, ela também está mudando o próprio computador usado no trabalho. Nesta edição do Podcast Canaltech, conversamos com Murilo Tunholi, técnico de PR da ASUS Brasil, para entender como a fabricante enxerga essa transformação e por que acredita que os notebooks corporativos caminham para uma nova geração. Durante a entrevista, Murilo explica a estratégia da ASUS para crescer no mercado brasileiro de PCs corporativos, detalha as diferenças entre as linhas ExpertBook e mostra como recursos como inteligência artificial local, múltiplas camadas de segurança e garantia com atendimento no local podem fazer diferença para empresas de todos os portes. A conversa também esclarece um ponto importante: nem todo notebook com IA funciona da mesma forma. O executivo explica quais modelos realmente processam inteligência artificial localmente, por que isso é importante para proteger dados sensíveis e como essa tecnologia deve ajudar profissionais no dia a dia sem substituir o trabalho humano. Você também vai conferir: Hackers agora usam até o ChatGPT em golpeS, Samsung prepara nova concorrente da AirTag e Erro em teste faz IA invadir sistemas. Este podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de Marcelo Fischer, João Melo e Viviane França. A trilha sonora é de Guilherme Zomer, a edição de Natalia Improta e a arte da capa é de Erick Teixeira. O Podcast Canaltech está concorrendo para entrar no Top 20 do Prêmio iBest 2026! Se você acompanha nossos episódios, curte as entrevistas e gosta do conteúdo que produzimos todos os dias, sua ajuda pode fazer toda a diferença. Vote no Podcast Canaltech aqui. É rápido, gratuito e você pode votar até 3 vezes por dia.See omnystudio.com/listener for privacy information.

durée : 00:59:08 - Soft Power - Depuis le lancement de ChatGPT, le chatbot d'OpenAI, en 2022, les IA génératives se sont imposées dans nos usages quotidiens. Mais que recouvre réellement cette technologie, comment s'inscrit-elle dans la longue histoire de l'IA, et quels sont les véritables enjeux qu'elle soulève aujourd'hui ? Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

The race to build the most advanced artificial intelligence continues to dominate the headlines. On this week's On the Media, who does this new technology actually serve? Plus, how even critical media coverage can feed into the AI hype. [01:00]  Host Brooke Gladstone sits down with Cory Doctorow, journalist, activist, and author of Enshittification, on his new guide to seeing through the relentless, $16 trillion AI hype machine and understanding the technology for exactly what it is, rather than the outlandish stories told about it. [16:47] Brooke continues her conversation with Cory, and they discuss how the hype itself is keeping the AI industry afloat.  [28:47] Brooke asks Cory about his rejection of the notion that AI domination – of our jobs, our lives, our art, and more – is inevitable. Plus, they interrogate the role of the tech in a creative's life, and why AI art leaves us cold. Further reading / watching: The Reverse Centaur's Guide to Life After AI by Cory Doctorow On the Media is supported by listeners like you. Support OTM by donating today (https://pledge.wnyc.org/support/otm). Follow our show on Instagram, Bluesky, TikTok and Facebook @onthemedia, and share your thoughts with us by emailing onthemedia@wnyc.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

BartTheRealtor.com sponsors the wife cast with Crystal Vann and Andrea Dennis Bart and Crystal offer experienced real estate help in Central Florida and beyond Party-wife debates lead to Cowboys line dancing, concerts, and Ocean Deck stories Robbie Williams denies cocaine fell from his nose during the World Cup final Amazon spending controls lead to a $9 fish glove for Maisie A mislabeled Amazon package delivers Tom a purple bodysuit instead of Splenda Tom's nervous denials, order history, and overexplaining make him look suspicious Kids respect YouTubers more than radio hosts; Maisie says Dan just talks Maisie's appetite, local-news obsession, game shows, and Ryan Seacrest opinions Swim-fin shopping moves from Dick's to cheaper options at Walmart Georgia open carry feels normal there but alarming in Orlando A man's arrest sparks debate over stereotypes, ethnic slurs, intent, and changing language Bearcat THC seltzer sponsors the show with code USA250 through July Crystal's second Bearcat causes an intense high with laughter, tears, and a racing heart Drinking limits, early bedtimes, intimacy signals, and handling rejection maturely THC tolerance breaks, microdosing, double doses, cottonmouth, and memory loss Housecleaners discover cannabis products, bottles, underwear, and Dan's 200 hats Long family showers, limited hot water, and Maisie's shower concerts Georgia plans include a huge discounted cabin, fishing, tubing, hiking, and ticks Airbnb cleanliness, personal pillows, and preferring to sleep at home Jim Colbert joins after Dan texts that he misses him Don Mealy Chevrolet sponsors Jim's segment after more than 10 years of support Jim discusses avoiding social media, preserving mystery, and saving family memories Self-promotion feels awkward while simple household videos perform surprisingly well Short-form content feels creatively empty and less durable than radio Jim remembers meeting 19-year-old Dan and bonding over Alice in Chains Rich Berner, Vinny Boombotzy, The Chronics, and Real Radio's early website Early radio used razor-cut tape, carts, printed memos, boomboxes, and sound-effect CDs Russ, Bo, and Dirty Jim learned talk radio from Jim Philips, Ron and Ron, and Stern Baseball teammates taught Jim the ball-busting humor that became his career Political talk, media diets, varied news sources, and careful fact-checking Claude, Copilot, and ChatGPT compared alongside AI privacy and creativity concerns Tinnitus, safe volume, Huey Lewis' hearing loss, aging, and losing lifelong passions Golf with Colby, jiu-jitsu, poker tells, and Dan's $300 Baldwin Park loss Jim's pocket Derringer leads to gun, restroom, and skinny-jeans talk Young Guns sparks a parenting debate about teens, nudity, and Gen X movies H.O.T.S., Up the Creek, Porky's, Bachelor Party, and video-store movie nights Real Radio's long-running lineup and uncertain next generation Media moves from tapes to streaming as theaters and studios decline Gen Z AI backlash, college booing, and online snark entering politics Data centers raise power, water, noise, property-value, and security concerns Gigascale AI facilities may need dedicated power or small nuclear plants Tariffs and unavailable US parts threaten affordable custom Monopoly games ### Website: https://tomanddan.com/ App: https://tomanddan.com/app Become a BDM: https://tomanddan.com/registration Merch: https://tomanddan.myshopify.com/ YouTube: https://www.youtube.com/@TomandDanLive Twitch: https://www.twitch.tv/tomanddanlive Facebook: https://www.facebook.com/AMediocreTime Instagram: https://www.instagram.com/tomanddanlive/ X: https://x.com/TomAndDanLive TikTok: https://tiktok.com/@tomanddanshow Reddit: https://reddit.com/r/tomanddan ACT RSS: https://feeds.libsyn.com/61976/rss AMT RSS: https://feeds.libsyn.com/18904/rss

A.M. Edition for July 31. Earnings from AI hyperscalers this week showed rising demand for their cloud services, with Amazon's CEO forecasting corporate AI use was still in its ‘early stages.' But as EY's Dan Diasio tells us, rising token costs are leading many businesses to question their broader AI approach. Plus, the U.S. says Hamas has agreed to a broad plan to disarm in exchange for an eventual Israeli withdrawal from Gaza. And WSJ reporter Margherita Stancati describes how the arrival of thousands of migrants into the Spanish territory of Ceuta from neighboring Morocco is piling political pressure on the center-left government in Madrid. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Sarah and JVL have a It's a super-sized, instant classic:The Trump administration is using ChatGPT for everything.Why are Cornyn and Tillis even bothering with their fake protest of Todd Blanche?The Dem Senate map is looking . . . possible?Trump has raised $800 million from “donors” since coming back to office.And JVL finally explains why he's obsessed with 60 Minutes investigative reporter Ross Douthat.Plus: Emo JVL needs your advice in the comments!Ready to reach your goals? Visit https://hims.com/thenextlevel to get a personalized, affordable plan that gets you.Full episodes of the Secret Podcast are available to paid members of the Bulwark through Substack, YouTube or Apple Podcasts. Come ride with us!

Meta's stock dropped this week amid investor concern over the company's ballooning spending on AI infrastructure projects. WSJ's Asa Fitch breaks down why the tech giant's case for this spending is weaker than some of its competitors. Plus, WSJ's Natalie Kaufman explains how young adults are using AI to ease their social anxiety. Isabelle Bousquette, a reporter for the Wall Street Journal Leadership Institute, hosts. Were you fooled into thinking an AI-generated post was real? Are you worried AI is looking more and more real? We want to hear from you! Record a voice memo and send it to tnb@wsj.com or leave us a voicemail at (212) 416-2236. Sign up for the WSJ's free Technology newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: OpenAI surpasses one billion active users after cutting prices. And Sony Group raises guidance after profit jumps more than expected. Julie Chang hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. And Google wasn't the only company updating their features behind the scenes. Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. We'll get you caught up quickly. Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Replit Design Suite Launches With Free MobbinChatGPT Chrome Extension Adds YouTube SummarizationChatGPT Side Chat Integrates Tabs and Highlighted TextMeta AI Rolls Out Recurring Agent TasksGoogle Gemini Generates Images in Google DocsGemini AI Summarizes Comments, Edits in DocsGoogle Gemini Spark Agent Arrives in ChromeChrome Agent Uses Saved Accounts and PasswordsGoogle Lyria 3.5 Music Model ReleasedBuzz by Block Unites Team and Agent CollaborationTimestamps:00:00 Recent AI updates and developments05:01 Creating with Replit and AI models09:42 Real-time research tracking benefits10:34 Meta AI new recurring features13:35 New features of Meta AI17:53 Google Spark integrates with Chrome22:09 Google DeepMind's new music model25:25 Buzz from Block messaging tool29:42 Building a collaborative platform31:23 AI feature updates recapKeywords: Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Could an AI agent decide to hack a system, or cancel your software subscription just to complete its task? Blake and David examine reports of AI agents escaping guardrails, flooding IRS rulemaking with generated comments, and taking autonomous business actions. They also trace accounting from ancient clay tokens to today's AI economy, exploring why calculating profit and trustworthy records matter more than ever.SponsorsCloud Accountant Staffing - http://accountingpodcast.promo/casThe Value Builder System - http://accountingpodcast.promo/valueOnPay - http://accountingpodcast.promo/onpayVeltrix - http://accountingpodcast.promo/veltrixChapters(00:00) - Profit First Accounting (00:33) - Dumb Accounting AI (02:40) - AI Guest Pitch Email (07:21) - When Agents Go Rogue (09:38) - OpenAI Agent Hacks Out (11:57) - Waymo Laws And Goals (16:33) - IRS Chief Spy Claims (19:28) - AI Floods IRS Comments (23:30) - SaaStr AI Cancels SaaS (28:09) - Ode To Accounting Site (29:54) - Accounting Births Writing (31:24) - Double Entry Changes Everything (32:09) - Industrial Era Standards (33:29) - Internet Cloud And AI (34:19) - Hosts React Tokens Return (36:49) - Profit Cost Accounting And AI (39:33) - Round Tripping Explained (44:00) - IRS EIN Breakdown (46:19) - Trump Accounts Adoption (48:20) - Tax Leak Sentencing Debate (50:23) - KPMG Australia Shakeup (52:09) - QuickBooks MCP Workflows (55:52) - Intuit Card Versus Ramp (57:35) - Ramp Stablecoin And Token Spend (01:00:39) - Wrap Up And Where To Find Us  Show NotesOpenAI and Hugging Face partner to address security incident during model evaluationhttps://openai.com/index/hugging-face-model-evaluation-security-incident/Trump's IRS Chief Frank Bisignano Accused of Using Hi-Tech Software to Spy on Colleagues' Emails at JPMorganhttps://www.thedailybeast.com/trumps-irs-chief-frank-bisignano-accused-of-using-hi-tech-software-to-spy-on-colleagues-emails-at-jpmorgan/IRS blitzed with AI-generated comments on proposed tax ruleshttps://www.accountingtoday.com/news/irs-blitzed-with-ai-generated-comments-on-proposed-tax-rulesYour Agents Are About to Start Firing Your Vendors. Ours Fired Marketo.https://www.saastr.com/your-agents-are-about-to-start-firing-your-vendors-ours-fired-marketo/Basis offers AI agents, love letters and an ode to accountinghttps://www.accountingtoday.com/news/basis-offers-ai-agents-love-letters-and-an-ode-to-accounting7 Million Trump Accounts Have Been Opened, Administration Sayshttps://www.cpapracticeadvisor.com/2026/07/29/7-million-trump-accounts-have-been-opened-administration-says/187586/DC Circuit Denies Littlejohn Appeal and the Need for Privacy Protections Remainshttps://www.ntu.org/foundation/detail/dc-circuit-denies-littlejohn-appeal-and-the-need-for-privacy-protections-remainsKPMG Australia appoints new CEOhttps://www.internationalaccountingbulletin.com/news/kpmg-australia-appoints-new-ceo/KPMG Fires Former COO Eileen Hoggett Over Confidentiality Breachhttps://news.ssbcrack.com/kpmg-fires-former-coo-eileen-hoggett-over-confidentiality-breach/QuickBooks Expands Into Claude and ChatGPT with New Featureshttps://www.intuit.com/blog/news-social/quickbooks-expands-into-claude-and-chatgpt-with-new-sales-invoicing-payroll-and-lending-features/Intuit Launches Business Credit Card That Brings Spend Management, Rewards, and Insights Together in QuickBookshttps://investors.intuit.com/news-events/press-releases/detail/1316/intuit-launches-business-credit-card-that-brings-spend-management-rewards-and-insights-together-in-quickbooksRamp Brings Stablecoin Accounts and Payments to All Customershttps://www.prnewswire.com/news-releases/ramp-brings-stablecoin-accounts-and-payments-to-all-customers-302830447.htmlRamp Launches AI Token Spend Controlshttps://www.prnewswire.com/news-releases/ramp-launches-ai-token-spend-controls-302827389.htmlNeed CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsoring The Accounting Podcast? For details, read the prospectus.Need Accounting Conference Info? Check out our new website - accountingconferences.comLimited edition shirts, stickers, and other necessities

HOUR 3 (07/31) – Gary & Shannon cover the day's biggest stories in #WhatsHappening and #SwampWatch, including the latest on the F-35 crash in San Diego, Mayor Karen Bass' executive order targeting conditions in Boyle Heights, Seattle's police chief stepping down, Tony Romo's ongoing DUI fallout, President Trump's latest cabinet meeting, and newly released Newsom tax returns.They wrap the week with Nine News Nuggets You Need to Know (But Probably Missed), featuring bizarre stories involving an overdue library book returned 150 years late, a politician who accidentally read his ChatGPT prompt aloud, a Guinness World Record attempt gone wrong, and several truly unbelievable Florida-style headlines.See omnystudio.com/listener for privacy information.

Thanks to our Partners, NAPA TRACS, Today's Class, KUKUI, and Pit Crew Loyalty Watch Full Video Episode Are your customers rolling up to the counter with their vehicles already "diagnosed" by ChatGPT or Gemini? More customers are turning to AI before they ever call your shop, using tools like ChatGPT and Gemini as the "WebMD" for their vehicles. They often arrive convinced they've identified the problem, making today's service advisor responsible for validating the customer's concerns while guiding the conversation back to proper testing and professional diagnostics. Brian Weeks, Jon Kloosterman, and Alex Littlewood join Carm Capriotto to explore how AI is reshaping customer expectations and why the shops that thrive will be the ones that combine technology with authentic human connection. What You'll Learn Why the "human premium" is becoming more valuable as AI-generated content grows.How to respond when customers arrive with AI-generated vehicle diagnoses.Why AI should automate administrative tasks, not customer relationships.How AI helps service advisors and technicians become more efficient.Strategies for adopting AI without overwhelming your team.Why AI can reinforce the value of professional diagnostics and repair expertise. As AI-generated content floods the internet, customers are finding it harder to separate facts from fiction. That uncertainty creates an opportunity for repair shops. AI can improve efficiency, but trust is still earned through knowledgeable people, thoughtful communication, and genuine relationships. The future belongs to shops that use AI to support the customer experience, not replace the human connection that builds lasting confidence. Jon Kloosterman, Director of Operations, WestSide Service, Zeeland, MI. Jon's previous episodes HERE Brian Weeks, ATC Auto Center, Augusta, GA. Listen to Brian's previous episodes HERE Alex Littlewood, Founder, ONRAMP Thanks to our Partner, NAPA TRACS NAPA TRACS will move your shop into the SMS fast lane with onsite training and six days a week of support and local representation. Find NAPA TRACS on the Web at http://napatracs.com/ Thanks to our Partner, Today's Class Optimize training with Today's Class: In just 5 minutes daily, boost knowledge retention and improve team performance. Find Today's Class on the web at https://www.todaysclass.com/ Thanks to our Partner, KUKUI Stop juggling multiple marketing tools. KUKUI's integrated platform delivers 4x better website conversions, automated follow-up, and real-time ROI tracking. Get industry-leading customer support with KUKUI at https://www.kukui.com/ Thanks to our Partner, Pit Crew Loyalty You're probably tired of chasing new customers who never return. We understand. Pit Crew Loyalty ends the one-and-done cycle, turning first visits into lasting, reliable revenue at https://www.pitcrewloyalty.com/ Connect with the Podcast: Download and Listen on Our Mobile App: https://automotiverepairpodcastnetwork.com/app/Visit the Website:https://remarkableresults.biz/Subscribe on YouTube:https://www.youtube.com/carmcapriottoFollow on Facebook:https://www.facebook.com/RemarkableResultsRadioPodcast/Follow on LinkedIn:https://www.linkedin.com/in/carmcapriotto/Follow on Instagram:https://www.instagram.com/remarkableresultsradiopodcast/Join Our Virtual Toastmasters Club:https://remarkableresults.biz/toastmastersJoin Our Private Facebook Community:https://www.facebook.com/groups/1734687266778976Join our Insider List:https://remarkableresults.biz/insiderAll books mentioned on our podcasts:https://remarkableresults.biz/booksOur Classroom page for personal or team learning:https://remarkableresults.biz/classroomBuy Me a Coffee:https://www.buymeacoffee.com/carmSpecial episode collections:https://remarkableresults.biz/collections The Automotive Repair Podcast Network: https://automotiverepairpodcastnetwork.com/ Remarkable Results Radio Podcast...

Arcand VS Everyone - Big actor, Bad movie // We launch YOUR Take Grenades! // Are any teams interested in Jarren Duran? // Chat GPT ranks the WEEI crew //

The Red Sox roll & win their 7th straight series! // Another day, another Jarren Duran incident // Did Chad Tracy just lie to all of our faces? // Callers split over what to do with Jarren Duran // Chris Cotillo says the Red Sox are in the middle of what they were and are // Are the Patriots not even close to a deal with Christian Gonzalez? // Celtics social media team strikes again! // Boutte is showing some spirit // Doug Kyed joins, weighs in on the Christian Gonzales contract controversy // Jarren Duran puts Chad Tracy in an bad spot // Is Duran going to be traded now? // Does Ted Johnson make a Top 25 Patriots players? // Arcand VS Everyone - Big actor, Bad movie // We launch YOUR Take Grenades! // Are any teams interested in Jarren Duran? // Chat GPT ranks the WEEI crew //

Competing in a Future World of Infinite Intelligence Navigation: Intro From Knowledge Workers to Judgment Workers The AI-Native Company: Org, Hiring, Culture The Human Element: Are We Underestimating It? Scenarios Our Take Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show:   Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Nuno Gonçalves Pedro Introduction Welcome to episode 79 of Tech DECIPHERED. Today, we take a leap into the big unknown. This is a thesis episode, not your classic analysis, in-depth sharing episode. The big idea for this episode is that we may be approaching the cognitive age, and how would one, or how would a company compete in a world of infinite intelligence? The big idea, again, is that intelligence, which has been mostly scarce and expensive for all of human history, might become abundant and cheap. If that happens, what happens to work, what happens to companies, what happens to society? This episode will be really framing a lot of these discussions. From knowledge workers to judgment workers, addressing the AI native company and how does that change, going into the human element and whether or not we’re underestimating it, and finally, ending up going into scenarios, feasible scenarios of a future where, well, intelligence is abundant. Intelligence is quasi-infinite or infinite itself.Bertrand Schmitt Yes. Big questions for this episode 79. From Knowledge Workers to Judgment Workers We can start with from knowledge workers to judgment workers. Let’s go back first to how came the knowledge worker. It’s a 20th-century invention from Peter Drucker in 1959. The idea here is that that category might be splitting. The production of knowledge itself is on its way to being commoditized by AI. However, our perspective is that judgment around production of knowledge is not disappearing and is staying for a bit control managed by humans. What’s your take on this, Nuno? Do you agree with this split?Nuno Gonçalves Pedro I think it’s a little bit more profound than that. It’s not just judgment. Definitely, human judgment will be needed. We’ve seen agents perform all sorts of funny things in the wrong way when left alone to their own devices. Even some very well-known AI researchers coming forward and saying, “Hey, I tried to use this myself, and actually I messed up some of my systems,” or “I messed some of my code. I messed up some of my flows for a period of time.” I think just having human-in-the-loop from a judgment standpoint will be needed for a significant amount of time. That is something you can’t just delegate into machines, into algorithms, et cetera. The second part is, ultimately, there needs to be contextualization, and that contextualization, I think, comes from two forms. One from actual data, where the machine, I think, at some point will catch up, or the machines will catch up. The algorithms, at some point, on the data analysis will get better and better and have probably the closest to the truth that you can get, minus all the biases that are in the data, just to be clear, because data has a ton of biases. We’ve looked at this in the past and discussed it at prior episodes. But maybe on that, I think the machine has a chance to catch up, or the machines have a chance to catch up, so there’s less of distinctiveness from the human standpoint. But then, on just the attributes, the ability when you’re judging some situation, you’re in the middle of the situation. You’re judging the person and how it’s acting, in some ways, a lot of the things that end up happening, end up happening because there’s human interaction. There’s someone on the other side. I see how they’re delivering the message, how they’re implicating. We’ll talk about it later in the context of the organization and what changes in companies. I don’t think it’s just judgment. I think there’s a little bit more than that. One of the reasons I went to the dark side of management early on in my career from being an engineer was Peter Drucker and this notion of the knowledge worker, which he later on reemphasized with the publishing of his book, which for me was seminal and defined a lot of my career in life, the post-capitalist society, which is this notion that information rich and information poor is going to be the key distinctiveness that will happen in the world. The two big camps, information rich, information poor, which links back to this invention of the term knowledge worker, that knowledge is going to be key in some ways. I think that’s what we’ve seen for the last decades. Again, I think judgment is not going anywhere, but I think it’s beyond judgment. There’s elements of humanity and involvement that won’t go away anytime soon, where human-in-the-loop are particularly critical. We’ll discuss later some scenarios, but for me, that’s my stick in the ground. I think human-in-the-loop is going to be critical for many decades to come.Bertrand Schmitt While we are talking about all of this, and we share some possible scenarios, there is always that question. This is moving so fast right now. If you think about AI 10 years ago, AI 5 years ago, AI with the launch of ChatGPT 3, and then AI the past 2 years, now we have agents that are running at scale. Things are moving very fast. I can tell you, me in 6 months, the change has been pretty dramatic in terms of what I can use AI for. There is always that question that whatever we are thinking about cannot just be connected to what we were able to do 6 months ago or even today, we have to think and project ourselves at least in the next 6–12 months. Of course, we can go beyond that, and we will do that with some future scenarios, but it’s a very fast-moving, and it’s not clear yet where are the limits.Nuno Gonçalves Pedro I think that’s a very fair point. Let me try to analyze things that I don’t think will change anytime soon for the next few years. Agreed with you that many things will change, and we’ll have a lot better tools, platforms out there. That will be difficult to predict what exactly won’t change. I think there’s elements of humanity, and some of them do relate to judgment, like having good or bad taste, having a view on it, on whether something looks good or bad. Obviously, all of this sometimes is subjective, but some of it may not be as subjective as people think it is. The elements of contextualization. I think a little bit going back to what we did at Chamaeleon ourselves, where we built this platform, Mantis, and the objective of building Mantis was not really to replace us, was that it was a core augmentation layer in some ways that we would use investment or investor judgment as humans in the loop to systematize pattern recognition and a variety of other things, but that Mantis would really elevate all that judgment, not just in terms of timing, us being more productive, but also in terms of the quality of the decisions we’re making. Think of it as a little bit like having our human judgment in the context of operating Chamaeleon at a higher altitude, where we are more aware of the things that are happening and how they actually happen. The ability to really get to the data pieces and then make decisions on top of that that generate the needed alpha in our case for investors. What I mean by this is I think there’s always going to be core elements of humanity that I do think are going to be difficult for the machines to replace. For example, the taste piece people are like, “I can figure out what’s the taste in the market.” Yeah, but that’s mainstream. That doesn’t identify what’s the next big thing, which normally doesn’t start from mainstream. It starts from something else. It could start from opinion leaders and influencers. It could start by someone having a different way of addressing a problem and having a solution that hasn’t been thought through. For example, elements of creativity, I think, in human judgment and in human operations is something that I feel the machine will still have difficulty to replace.Bertrand Schmitt Let’s not forget how today current algorithms are working by feeding them enormous quantity of data, actually as much data as we can find. Finding more data is becoming a limitation these days. What it means is that it’s very hard for AI to think beyond its training data. There is some level of logic that’s being added, but at the same time, take the launch of the iPhone. What was the opinion before launch? Is that no, it doesn’t make sense. Not enough battery life, no keyboard, no this, no that. If you just base your analysis on what’s written out there, what’s being sold out there, you would just say, “It’s going to fail.” AI might really follow that more generic advice and perspective because that’s what in the training data and that’s what they’re in volume. It’s, of course, raising a lot of questions of, how do you improve the quality of the training data? How do you separate the weed from the chaff? There are a lot of questions there, and obviously, it will get better over time. But it’s still a critical part of how it’s working today. It won’t be that easy to change. I really like your point regarding Mantis, and I will say in general, platforms that you build with AI or leveraging AI capacity. Because when we say knowledge production is going to disappear, but we’ll keep judgment, it will be a different type of judgment because the quantity and quality of knowledge we will have in front of us to build our judgment will be very different. If suddenly we have for free the work of 10 interns or 5 junior analysts or whatever, and you can run that on nearly anything you do in life or at work, it’s completely dramatic. Your judgment was not used to be exercised so often because often you were missing quality data to have a judgment. Before it was a lot of finger in the wind and trying to smell something, but you didn’t have enough to make a serious analysis. Except if you are working as a strategy consultant, as you used to do, Nuno. That part is actually quite interesting. That the judgment itself will be exercised much more often and hopefully on the base of much more in-depth analysis for a lot of things. We will work very differently.Nuno Gonçalves Pedro We will go in-depth, faster and more fact-based, more data-based along the way. The question some of you might have right now is, is there some judgment that’s going to go away? Is there some judgment? We seem to be defining that there’s this organization, we’ll talk about it later, that goes from doers more into deciders. I think there’s some nuances to that, so I’ll just hit pause on that. In terms of judgment, obviously, there’s judgment that has been hidden over the years under the pretense of being wisdom, but it’s actually not wisdom. It’s just repetitive tasking, and it’s rules-based for the most. There’s a lot of judgment done, in particular in the white-collar space, that you could say it’s just reps. People have been doing it all along like that, and so therefore to say, “I’ve done it before like this, so I’ll do it the same way.” There’s actually no best in class, no analysis, no nothing. It’s just, “I’ve done it like that before.” I think that type of judgment will disappear because, again, algorithms will be as good, if not much better at that. They’ll be better at figuring out, actually, this would be the better way to do this. That’s how you play it forward. Then the question is, if there are fundamental, wise people in the organization, people that can really take that more complex elements of judgment, how do you go from the world we have today, which is a world of apprenticeship, where people come out of college, they go and work, and they learn their way, and therefore, hopefully over time, some of them, not all of them, we know that, but some of them will develop that wisdom to be great decision makers 15, 20 years down the road? How do we do that in a world that now is saying, “I don’t need people out of college because I can do it myself, and I can do individual contributor, and I can have agents doing the work that would require some manifestation of management in the middle.” Basically, “I don’t need this stuff. I don’t need you.” It’s a little bit the story we’re in. How do you create then this apprenticeship? How do we create then wisdom? My two cents on that is that wisdom, because of what we were just discussing and what, for example, myself and Bertrand was just saying, because of more often interactions with more data-stressed information and insights, what will happen is people will get better through their own reps in whatever form they’re doing, in day-to-day life, in internships, et cetera. In some ways, that will create the accelerated growth. It’s a little bit the interactions with agents and the interactions with our beloved AI algorithms that will create that growth over time and maybe not as much with other people. That still leaves the question around social interactions, but that’s probably the way this gets sorted. Apprenticeship gets sorted through the machine and the human having more interactions in effect.Bertrand Schmitt I agree with you because when we talk about apprenticeship, in some ways a lot of time was wasted on stuff that were not that important. But in a way, that was the price you had to pay in order to be there when people make the big decision to try to get some wisdom from that one hour of interactions that’s really useful and make a difference out of your full week. But the rest of your full week was just basic stuff that you had to do like a machine in a way. Why not let a machine do that? That, for me, is a big question. You could argue there is a transition period where it could be hard. For instance, if you can work hand in hand with AI smartly while you are doing your 4, 5 years of universities, you could graduate with a very different knowledge, perspective, judgment, skill set than anyone who graduated 5 years ago. I think that part will require a question around, “How do you change education?” You see what I mean? If you keep education the same way, expecting that the output is someone that should go now into 5 years of apprenticeship, that’s not going to work because companies will be, “No apprenticeship anymore.” On the contrary, you have to come much more knowledgeable and ready to use the tools. The tools are so efficient that the bar pretty high. You need to come already very well-grounded. If the education is not doing their job, that will be trouble. That part for me, I think is often forgotten. In some ways, the new-found importance of universities as a place to, and not just universities, the trade to really deliver people who are ready for the workforce. If on the business side, the expectation can change, of course, you have to change the education on the other side. My worry probably right now is that it doesn’t look like universities are in touch with what businesses are looking for, businesses are working on. Of course, that’s very worrisome because the cost of university has increased very significantly. It’s not clear quality of education has improved at all. If anything, it could be the opposite. It’s pretty scary. Of course, it’s going to raise a lot of questions. How much is education worth in that type of situation? Maybe another point because we talk a lot about apprenticeship, how this stuff was useful, but at the same time, if we go back in time, not long ago in the ’50s, if you wanted to be a developer, for instance, ’50s, ’60s, the job was very different. There was barely any programmation language out there. You had to use punch cards. Your time truly spent doing the coding was very limited. Once you had your stuff working, then, the debugging was a total nightmare. My point is that no one is looking back to that time saying, “You know what? It was great. It was a great way to learn and to do an apprenticeship for 5 years. To do that crappy job of punching cards for the boss.” There was little value in this. Guess what? Everyone is happy it’s not being done anymore by anyone. I think we also have to see what AI is bringing in a similar way is that everyone’s job is going to become quite different. There are a lot of big parts of the job who are not going to look back with fondness. Just looking back as, “Wow, that was very machine-like type of job. I’m glad I’m done with it.” People will want to jump directly to the next step. You don’t need to go to the punch card phase to be able to be a good developer for the past 40 years. I guess it will be the same with AI.Nuno Gonçalves Pedro I think so. The difficulty we have as humans is to also visualize dramatically different scenarios and landscapes, professionally. It’s difficult for us to anticipate what are the jobs of the future. Jobs have changed a lot in the last few decades, not even the last century. What people do, the migration initially from the agricultural society to then the industrial society to then the services society, and in some ways, the shift within the services industry, and now we’re seeing another shift, so we can’t really anticipate what those jobs look like. Back to your point on education, because I think that’s a very important point. If you’re right now an undergraduate student or a postgraduate student, for that matter, and you’re not figuring out your own mechanisms of learning outside of your syllabus, outside of what your professors are telling you, et cetera, you’re going to face very difficult times. If you’re not right now using all these AI tools proficiently, all these cycles of vibe coding, co-working, et cetera, with agents in the mix, you’re going to have a really tough time. If you’re not at this point in time as proficient as someone like myself or Bertrand, and given that we’re nerds, we’re relatively proficient with a lot of these tools that are out there. On top of it, some of us have our own platforms in-house. If you’re not as proficient as we are with those tools, you’re going to have a very difficult time because then people like us won’t need you. I think that’s the sad truth. It’s like at some point, if you’re not needed, you’re not needed. Then again, you may find something else that’s more interesting for you to do. Start your own company, go join a new exciting job doing whatever it is that you need to do next, et cetera. But again, I think the bar is very high. If you’re in college right now, again, undergrad, postgraduate, this is the time of transition. This is the worst time. It’s not the best time, it’s the worst time. Because education and all these institutions haven’t adapted to it yet. You need to adapt. You need to adapt. You need to adapt. If you don’t, you’re going to pay for it, not just in the loans you need to repay, but also in terms of actually having difficulty finding your career path in those first few critical years.Bertrand Schmitt You need to be especially proactive when you’re facing this type of period where businesses are adapting as fast as they can because they all know it’s going to be survival of the fittest very quickly. Universities typically are working on a very different pace, and it’s pretty guaranteed they are not going to have adapted as fast as businesses. In time of big dramatic change, it will be trouble. It will be trouble. Yes, you will have not fun. Not saying it was part of the deal when you sign up for that loan and decided to go for university. But that’s life. There has been issues before. It’s not the first time. You have to do something about it. You talk about your perspective about, “Hey, why do we need you if you are not already fluent and very efficient with these tools and stuff?” The truth, in some ways, it’s even worse than that. Each time we spend with someone who is not efficient with all of this is less time we spend with the tools that are already providing magic for us.Nuno Gonçalves Pedro Exactly.Bertrand Schmitt It’s a very big choice of, “Hey, do I spend more time training this person?” Do I just… there is an opportunity cost. Or, do I spend more time staying at light speed? Why do I slow down to do something else in the hope that maybe I will get to return versus the light speed I’m already on? It’s a lot of tension. Again, it’s certainly new. But if we want to look back, I think you talk about the switch from agriculture and society, industrial society, and now the service industry. The reality is that, yes, we have made dramatic changes in the past before. 140 years ago, we were 90% agricultural society in Europe, in the US, 90% of us. Today, it’s what? 2%. So my point is that that’s a normal evolution. There is no progress without change. Sometimes the rate of change is soft, and sometimes you have a step function. Now it’s a step function, and it’s also a pretty fast step function. Before, it could take decades to get new stuff being put in place, to have electricity come up, this or that. Now we see that the rate of investment in AI is insane, way beyond anything we have seen before. Two, in a way, a lot of the architecture behind the scene was already there to support an even faster transition. What’s new might be the pace of the transition, how unnatural it might look. But at the same time, if you put yourself in the shoes of someone who lived 150 years ago, I mean, this was also a dramatic change for them. From horses to cars to planes to rockets, pretty big change, maybe even bigger change.Nuno Gonçalves Pedro Maybe the silver lining, just to bookend this section, is one, there will be new roles. There are a lot of things we can’t anticipate. There will be new roles, there will be new jobs being created, and new things that we can’t really quite grasp yet. The second part is that the rules are changing, and they’re changing, I would say, in general, for the better. If you are a decision-maker or an organization, and you still have your job, you’re probably making more important decisions with more data, with more tooling around you, with less red tape, hopefully over time. I know that will not hold true for all the big corporations out there that are listening to us, but it is starting to happen. Things are making an impact on how decision-making is made. There’s less and less red tape along the way in certain organizations. There are more and more fact-based discussions happening as we move along. The silver lining is better jobs, more jobs, different jobs in the future, hopefully as well. Secondly, the second part of the silver line is that the jobs that exist today, hopefully, will be more interesting, certainly on the knowledge space and on this judgment space that we’re now introducing as part of this episode. The AI-Native Company: Org, Hiring, Culture Switching gears, maybe to how does that shift? How does the company of the future look like? How does an AI native company look like? I feel there are a lot of discussions on, “Oh, you only need one person to run everything.” Let’s not go to that level. We’ve had a couple of episodes where we focused on AI as your co-founder and a couple of other elements that you guys can go back to. Let’s focus on a more evolutionary view of what’s happening to organizations, and maybe start with the org structure. In general, we should see more flat organizations where mid-level managers have to justify their pay in some ways because middle management are routers. They are normally routing tasks. It’s sometimes aggregating it, synthesizing it, and pulling it back up. Guess what? AI and agents in general are very good at that. The synthesis piece, et cetera, is not as well needed. One could say there are several elements of middle management that are valuable, like the coaching of people, the creation of apprentices, and the accountability that comes with some of middle management. But lo and behold, most of middle management is seen as a little bit of a thin line that doesn’t need to necessarily exist. I feel we’re moving into a world of smaller teams, more senior teams, where there’s more judgment at the top, where you’ll have people that both do a mix of what we used to call management in its new form, but also a lot of individual contribution. If you’re not used to that, if you’re not used anymore to be an individual in the future, again, and if you’re a very senior in an organization, maybe this is the right time to either reinvent yourself, find some other job that doesn’t require as much of that, which we’ll have plenty of those jobs for the next few decades, or maybe retire. I’ve actually, shockingly enough, seen people who have said, “You know what? This thing is changing too fast, too dramatically. My industry is changing quite aggressively right now. I’m about to retire in a couple of years. I’m just going to retire now.” I’ve literally met two people who have done that. Again, there’s nothing wrong about it. I think we’re, again, going through a step function and a huge shift, but figuring out where you fit in this new model of organizations, more senior at the top, smaller teams, more of a mix of individual contribution with management than ever was done before.Bertrand Schmitt I agree with you. In some ways, I’m not surprised that some people might say, “You know what? It’s now time to retire.” I feel a bit sad, maybe because it means you don’t like to keep reinventing yourself and changing your habits and thinking about new stuff. You were a creature of habits, I would say, if that’s your conclusion. But everyone is entitled to their own opinion, obviously, and a way of life. I guess that’s what happened, again, at regular times in the past in terms of big change. What I can see is that the rise of, you can call it the full-stack individual, someone who will have multiple roles inside the team. Before, you had to really separate the role. Especially in the US, there is such a clear separation between every role you can have in a company. Let’s take a tech company. You will have people doing design, people doing different types of designs, people doing front-end development, back-end development, and operations. You see step-by-step hyper-specialization. I have seen that, and it’s true that the level of complexity you had to deal with at some point requires some level of hyper-specialization because it will take you 6, 12 months in order to be really, really strong on a specific topic, a specific language. God forbid, trying to go deep into something that you had no real experience into. But I feel with AI, it’s a big change, actually. It’s the opportunity to go beyond that. It’s the opportunity to do more, to touch more. You can combine designing and shipping code, product managing and shipping code, being an analyst and deploying. Of course, we have to think how it works because putting a marketer shipping code to production, maybe that will get you into trouble. But I think that there must be some change. We see it changing dramatically, how fast we can get into something, something different from what we are used to. I think it would be crazy not to take that opportunity to dramatically change the scope of many positions and put an end to that hyper-specialization. I think for me, in some ways, hyper-specialization was bad. There is only so much you want to be a specialist in because a lot of things, a lot of opportunities are actually coming from the mixing of many different ideas, many different perspectives, and you lose if you go to hyper-specialization.Nuno Gonçalves Pedro I don’t think the age that is coming is the age of the generalist. I think it’s going to be the age of the multispecialist. We’re going to go into an age of multispecialization, which is a little bit, we’ve mentioned it as well in the past, what Amazon defines as an athlete or T-shaped or pie-shaped people, people that have on top an amazing ability to do general management, strategy, managing teams, et cetera, then have spikes. Spikes into business development, corporate development, product management, whatever it is. With AI and with agents, the development of those spikes, as we’ve been discussing in this episode, will actually be easier. It’s almost like a given. If you want to go deeper and deeper into a certain area, you can go much faster. I think that level of multispecialization is going to be really cool to observe. I’m not sure we’ve had an age of multispecialization over the years. Maybe people would point out, well, the Da Vinci example, people that are great across very different areas. Maybe that’s an example of multispecialization. But honestly, from my perspective, this is going to be an exciting time because of that, because you’ll have people who, instead of being just focused on this area of sales, and I only do that, they can actually and should actually do a lot of other things. So the work, as we were talking before, can be more interesting. More demanding as well, because the judgments you need to make are more complex. The context you need to actually gain needs to be gained much faster. At a level of magnitude, you haven’t been able to do it before. Talk about information overload. But actually, ultimately, the roles can be a lot more interesting, a lot more exciting, because I can jump around. If I’m an investor, in this case, we have two investors on this conversation. But if I’m an investor, one of the things that we start looking at is actually not just looking at a startup as, is this startup doing something in AI or not? Is it AI-enabled or not? Is it an AI platform or not? But actually, more fundamentally, is this an AI native startup? Meaning, organizationally, culturally, is this the company that’s already in the AI age? How is the team working? How are they defining things? It’s not just that they only have two or three people. It’s like, what are those two or three people doing? How are they doing it? What cadence are they doing it on? What tools are they using? How are they making decisions? I feel we’re still actually relatively early on that track. It’s very interesting because we’ve had all these companies raising mega rounds. First round out, we invested in one of them, but there have been many frontier labs out there raising a ton of money. But a lot of them don’t have a fundamentally different way of doing business. Of organizing themselves, of how they do the day-to-day. Although they’re working on cutting-edge stuff, with very notable exceptions, they’re actually not using it themselves. They’re not actually shifting how they do stuff themselves.Bertrand Schmitt For me, that’s very interesting because in the past, I used to be quite conservative on how you manage and run a company in the sense that if you’re already in tech, if you are already on the cutting edge of what technology can deliver, and this and that, don’t waste time trying to invent a new org structure. Just focus on delivering something great, amazing, and be great at technologies. That’s already your huge differentiator. At the time, there was no real reason to innovate on the team organization. I have seen so many teams that tried to innovate, and it was just catastrophic because there was not much to innovate on, because we had decades of optimization that we could leverage. There was no reason to invent. But here it’s very different. There is a dramatic shift in how you can organize differently a company. I don’t think there are any blueprints yet on what’s the best way to do it because it’s too new. But at the same time, I would feel very bad to invest or support a company that first is not focused on AI or AI-enabled, but at the same time is not trying to innovate on the team itself. Because if you don’t do that, you’re going to get killed by someone who is going to innovate better than you on not just the product, but on the org as well.Nuno Gonçalves Pedro Indeed. The shifts are pretty substantial. If you look, for example, just at hiring, what do you hire for? Certainly, there’s this element of the multispecialized orchestrator, which normally will be someone with quite a lot of wisdom and expertise. It doesn’t necessarily mean someone who’s old, but someone who has the ability to work with all the AI tooling and platforms out there and be an orchestrator of agents. Why do they make judgments, make decisions, move stuff forward really, really, really quickly? Again, those jobs are going to be the best jobs. The second part, I think that is very interesting, around hiring, is you’re going to skew towards the elements that are potentially either very aligned with the use of AI tooling and platform, AI expertise, or being AI native, or someone who’s used to using AI. That’s one side of the fence. On the other side, you’re going to actually be optimizing to hire people that have the characteristics that will be difficult for AI to replace immediately, like taste and the notion of fundamental accountability and notion of implications, the notion of how you affect change in organizations, how you affect change in individuals, the elements of coaching, and beyond coaching. You’ll be optimizing for those kinds of hires as well. Then, last but not least, for me, I feel that there is a momentum already happening. I think it will happen even more, which is the tendency to under-hire rather than over-hire. The moment of the good old days of blitz scaling, “Oh, let me go and hire 300 people to scale my go-to-market and just land grab market.” Now, that’s not how it’s going to work. People are going to try and first get the efficiencies in-house with top talent and see if there’s, at the end, the need to hire more people or not, rather than the other way around. I think the issue here is a little bit of what we alluded to before in this episode. There is a tax on individuals. If you hire more people, you’ll have to manage people, you’ll have to work with them, et cetera. If I don’t need to, I might as well work with the agents that the tools and platforms that I use give me access to. Because that’s a world that’s much more efficient, right?Bertrand Schmitt I’m in total agreement with you on this. It’s definitely raising way more questions than before because, again, on one side, you have the product, the technology used to build products that are completely different. At the same time, all of this is also enabling new ways to design organizations and to scale differently, especially in a world where, as we have seen in 3, 6, and 12 months, stuff that you thought were impossible are suddenly becoming possible. So you’re, “Hey, I’m going to scale and burn a shitload of money for 6 months before I know if there is any return.” Versus, “You know what? Maybe I just wait 6 months. The AI has improved enough so that we don’t need this new team. We don’t need these people to do stuff.” Because actually, if you just wait 6 months, we will have stuff coming for free from either new AI models or new AI tools or this or that. If you remember, we used to say that in mobile, things were going three times as fast as on the web in terms of pace of innovation and speed of development and stuff. I mean, with AI, it’s 5X mobile.Nuno Gonçalves Pedro Maybe even more. Yes, well.Bertrand Schmitt Maybe even more, maybe 10X. Every assumption around blitz scaling or scaling in general was based on past assumptions. It’s not based on how is the industry evolving today. Might make more sense for you to really grow your agents and spend more money on more tokens. I remember, of course, Jensen is selling his business interest, but he was saying, “Hey, for each one of my 450K engineers, he better spend 250K in tokens a year.” I’m not saying it’s the right way to say it, but I think there is some truth in it, and that would be something to think about. Have we maxed out the token usage per employee? I’m not talking in a stupid way because token maxing and wasting money has no value and is as stupid as it gets. But if you are truly getting a return on these tokens, can you use more? Can you generate more? Can you create more loops so that one engineer manages not just 10 agents, but 50 agents, but 200 agents? I think that’s the big question. We’re trying to add more people. More people means more management, more issues, more this, more that. That would be a fair question. Another piece of the puzzle is how do you build in a way your… I don’t know if it’s a digital twin, but more like the digital version of your companies represented by agents. How do you make sure that everything you do as a business is truly captured, is truly leveraged so that your agents are getting better and better? Not just because the model gets better, but because you are putting more data into it, because it has more opportunity to learn, and as a result, gets better at your specific business.Nuno Gonçalves Pedro The next big thing is culture. How does culture change? I think the biggest shift that I see is, why would you do meetings all the time?Bertrand Schmitt Yes.Nuno Gonçalves Pedro At least at Chamaeleon, we have a very small team, just by the way. We have a very small team at Chamaeleon. We’ve reduced by way more than 50% the time we spend on meetings between each other across the board, one-on-ones, partner meetings, et cetera. I think we’re really pushing to be more and more asynchronous. There’s stuff you can process via message. I was just asking one of my colleagues, “Can you just send me that prompt for that so I can just do that on CoWork?” Or “Can I just go on Mantis and do this? Can you tell me the cycle?” Or vice versa. Basically, it’s a little bit like you’re just going to do it. I don’t need to meet. I don’t need to meet all the time. There are some things where we still need to meet and interact, and we need to brainstorm at times, and we need to go to a different level of abstraction on the top end. Then on the lower end, there might be things that are a little bit more specific and governance-related and operational-related that we need to agree on that are more sticky. But otherwise, the culture is going to be biased towards build. “Go and do it,” rather than, “Let’s do a meeting.”Bertrand Schmitt Yes.Nuno Gonçalves Pedro Async is the thing. I’m more and more like we have a couple of interns this summer. “Can we async this?” They’re like, “What does that mean?” “Can we make this interaction asynchronous?” Because synchronous interactions for me are very expensive. Can you send me something that I can process, and then I can send it back to you? We don’t waste time on you giving me context and whatever. Then I’m not ready quite yet because I need to process it. Maybe I’m in between two meetings that I’m actually thinking about other things in my mind.” Again, I feel that shifts how stuff is done. One, build rather than meeting. Two, asynchronous versus synchronous. In some way, millennials had it right when they shifted a lot to messaging and stuff like that. Let’s do more asynchronous rather than synchronous, those two elements from just an operating model of the company are significant. Maybe this is a good time for me just to put one parenthesis because there’s this thing that’s bugging me as we’re talking here. Everyone who is listening to us at this point in time might be saying, “Cool, but I work for this large organization. We’re just now…” Everything we’re saying here is contextualized by time. We’re giving you extreme situations. We’re looking into the future. Some companies that we’re talking about might be doing this already as we speak. Some of them might be in the process of doing this and might in the next couple of months be doing it like we are describing it here. Some of them might take years to get there. Then again, some of the companies that might take years might actually be destroyed in between or meanwhile, and be disrupted. Some of them might not because they’re in very legacy businesses, and it’s fine, and it’s okay. Again, don’t take everything that Bertrand and I are saying today as this is gospel, and it’s going to happen tomorrow, and why the hell are we not doing it? We think that aspirationally, this is where you should be moving to as an organization, whatever size you’re at. Speed will matter, as we discussed before, but not everyone, obviously, is going to move as fast as we’re describing it here.Bertrand Schmitt Yes. Me, for instance, take inspiration often with what some of the AI labs, frontier AI labs, are doing, the way they are working, especially in OpenAI and Anthropic. They are clearly at the top of the spear in terms of what is it that you can do because they have access to models we don’t have access to, because they have unlimited tokens they can use for tasks. They hire people who are, of course, 100% on AI. They are the best example of what is achievable if you have the top minds, if you have the latest models, if you have unlimited tokens. From there, you can take that for our needs and for our situation, and others in industries that are not as advanced. Definitely, you have some time. But as you say, things are moving fast, things are changing. Wall Street is going to expect better returns because when we discuss all of this, the conclusion is that you should be able to do more with less. That’s as real as it gets at some point. By the way, that’s what you see. You see better performance, a better business performance right now. So even if you might not get disrupted, you’d better start there. For some, it might take more time, and they might still be fine.Nuno Gonçalves Pedro Maybe to bookend this section, clearly what we’re saying is organizations are going to change. Their MOs are going to change, the structures are going to change. There are elements of what we discussed before in terms of judgment that are fundamental to this. The ability that in some ways, one would say a lot of the technique of getting solutions out there, even in brainstorming or problem-solving, is going to get democratized. The algorithms are able to do that. On the other hand, having points of view and having wisdom is not necessarily democratized, necessarily by the machines. It can be facilitated, it can be more productive in achieving that level of wisdom, but wisdom still will matter at the end of the day. We’re not saying that’s out of the question. Actually, that’s going to be the asset. People who have fundamental wisdom that can come to the table and frame things. We see this even today in prompt engineering, on just creating prompts. The better your prompt is, the better the outcome is going to be, the result that you get from the algorithms. That’s not going to change, in my opinion, anytime soon. That UI interaction piece is not going to change anytime soon. Again, if you’re an organization thinking through organizational structure, culture, if you’re thinking through hiring, these are some of the elements that we think will give you an opportunity, but I would actually go one step further. On the positive side, I would say, they give you arbitrage. If you’re able to move faster than your competitors and really adapt your org faster, you’ll reap the benefits faster as well. That’s what many still say and relate to as the word innovation. That’s how innovation gets accelerated. I think there’s a huge opportunity right now for arbitrage. If you move fast, experiment, experiment on new org structures, experiment with talent, you’ll know that some of them will work well, some of them will fail miserably, so you can’t experiment on literally everything. On the other side, I think the doomsday scenario is if you don’t, if you’re on the other side and your competitor is outpacing you on trying these different organizational models, structure, hiring models, and operating models, they’ll potentially just disrupt you. They’ll do stuff that you thought you had the moat on, and lo and behold, you don’t anymore. Sometimes it comes just from org, just from injection of people with a different MRO, different operating model.Bertrand Schmitt The Human Element: Are We Underestimating It? Maybe we can move to our next section about the human elements. Are we underestimating it or are we overestimating it? The three things that are a big part of the human elements, emotion, creativity, and synthesis. Is it just soft skills, replaceable part? On the contrary, is it the durable part now that we have automated intelligence?Nuno Gonçalves Pedro I’ll start with emotion first because I think it’s probably the easiest of all the ones you’ve mentioned. Emotion is key. Many of you listening to us will know this. The way you deliver a certain message, the emotion that you have when you deliver it, just in and of itself, this could be a sentence, it’s something verbal, et cetera. Makes a difference between the person or the people on the other side actually adopting it or actually just resisting it. Emotion is critical. It’s what runs the world. Everyone talks about a bunch of things, but emotion is a currency that is still naturally human. It will be, I feel, difficult for these AI tools and platforms to recreate it fully until there’s some literally very high-definition manifestation of them as avatars or some physical manifestation of them as robots and all that stuff. It will take a while for that emotion to be manifested. Emotion, I think, is still something that we as humans have as a moat, and it’s critical. As you mentioned before, I was a strategy management consultant at McKinsey, and getting people to action is actually 80% about the delivery, communication, the emotion that you surround the project itself, more than sometimes the truth. It’s great to have the truth and to have something that is similar to the truth in terms of analysis, but in some ways, that’s not what really moves change. Change is moved by, I would argue, a significant amount of emotion and alignment on emotions.Bertrand Schmitt You could argue that’s something that most politicians have perfectly understood. If you look at most campaigns these days, everything on emotions, maybe the tagline might be one word. It’s interesting when you see from that perspective that actually it’s very little on facts, very little on all of this, but more about emotion. You could argue it’s the same for businesses in the future? That’s a fair question. I think creativity is another one that’s quite important. At the same time, it’s not so easy because I must say I’m quite amazed when I’m looking for creativity from AI, either to generate the image, to generate video, to generate audio, or to generate text. AI can be pretty creative. I still think you need to control its creativity; you need to understand what’s good, what’s bad, what’s quality, but at the same time, I can see even in creative tasks, AI can be a very strong partner. I’m talking about any creative task, like invent a name for a product, let’s brainstorm the mission for the company. AI can actually be doing a pretty impressive job. That’s the type of job where you will hire experts, where you will use some of the best people in your team to help you for days. We say, “You can do quite a lot.” It’s an interesting one because I think there is some unique human creativity, and at the same time, AI can be pretty strong at creative task as well.Nuno Gonçalves Pedro I agree. In particular, if it represents benchmarking, if it represents repetition, if it represents seeing the world and then coming up with something that presents itself as creative, to be honest, it can actually outpace humans. If it’s like genuine light bulb moments of creativity, angles that haven’t been tried before, certainly not in the same way, I think humans still have the advantage. To your point, I agree. This is not a humans-win situation. On the previous one, on emotion, still, part of it is because, also on emotion, there are exchanges. You and I might be looking at each other, and from the facial expressions and the reactions, where you judge that for AI to get there, it’s going to take a long time. There’s going to be a lot of very complex algorithmic stuff put into that for AI to be able to create synthetic emotional behaviors, but creativity, I agree with you. There are a lot more nuances to it today, where AI does have significant advantages at the end of the day. Synthesis depends. Synthesis, I feel, if we’re talking about holding a bunch of messy assumptions, contextualized inputs with different layers of data adjacent to them and then trying to create and form one coherent, fully accountable point of view that you stake something on, like a decision, a company, a business unit, whatever, I think humans have the advantage. Part of it is the complexity of what we have today with generative, pre-trained transformers, today with GPTs, where the hallucination comes through, where it’s really more statistical analysis. Over time, maybe synthesis will be a forte for AI. Right now, I think we still have that ability to really be the ultimate decision-makers and judge-makers and have that wisdom put at the table to make those decisions. Honestly, models are very good on balancing both sides, so ended up, as we say in Portuguese, neither fish nor meat. It’s to balance both sides’ answers. That’s not helpful in most cases. When you’re in a difficult position where, for example, the future of a company, company is almost dying, what do you do? I’m not sure your AI algorithms that are going to give you a great solution. Because it will give you a median or average solution, which likely will lead you to a median or average outcome, which in this case would be failure. Again, on synthesis, there are some areas of advantage for human beings. If you are looking for clearly synthesized perspectives on certain elements that are maybe less edge-focused, they’re more than the normal part of the normal distribution, then probably AI agents are brilliant at that. All the tools we have today are pretty good at that, and I think they’ll just get better over time. That’s how I see synthesis.Bertrand Schmitt I think a lot of improvements will come with a better fine-tuning of agents to what’s special about your company. Because if you just take a general agent, there is only so much. It can understand your industry, your company, and your way of working. I think that part of making sure your agents are finely trained, finely tuned on your own business, so that they can give you a really well-calibrated feedback, will have a lot of importance.Nuno Gonçalves Pedro I think that’s absolutely spot on. Maybe to end it, what is definitely different about humanity? Definitely, emotion, as we discussed, some pieces of synthesis. Creativity, maybe the light bulb creativity, not the more repeatable creativity, the one that you can put and encapsulate into processes in some ways. There are elements of us being physical, which robots can’t still recreate. That’s definitely an advantage. The embodied, we’re embodied. That’s obviously a huge advantage. With that also comes advantages because we have to interpret each other, and we have to see the complexities in physicality that land to it. Is human and the human element categorical difference? If we’re having a more philosophical discussion around this, I think it is. I think it will be for at least the foreseeable future and maybe decades to come, even in whatever scenarios we’ll discuss, which is our next section, scenarios.Bertrand Schmitt I would say projecting beyond 10 years is always pretty hard on this because, again, some of the improvements we are talking about we can imagine based on how it has evolved, but at the same time, there will be disruptions in AI. Stuff that we take for granted in terms of weakness, especially, might not be there in a few years from now. Either because it has been solved through brute force or because the field will have made significant change and improvements and discoveries, making some of our points moot. If we talk about embodiment, obviously, robots are coming. How fast, how cheap? That will be a big question. Right now, they’re not very smart. They’re usually very specialized. The more we move to a more general form factor, humanoid form factor, the more I think it will change. Also, another piece of the puzzle is that we have the assumption of agents having trouble to convince humans and stuff. At some point, we keep assuming that humans in the loop. If we’re talking about agents convincing another agent, not having embodiment might be even more efficient. That will be another perspective. Going forward, we will have not just agents we control who are doing a job and scanning the job, but agents truly interacting with other agents. You have agents controlled by one person, one team in your company, working either together or maybe not confrontationally, but trying to think and having different perspectives with another agent, controlled by other teams. I don’t think we have seen much of that now. We have seen mostly agents that are controlled by one team doing one job in one direction. Not multiple teams agents working together, or against or in parallel with another team agent. I think we will see some interesting things coming out of that.Nuno Gonçalves Pedro Scenarios Switching to scenarios, we love our two-by-twos. We haven’t done one in a while. This time it’s a two by two. We have four scenarios. I think on one axis, we would have potentially the capabilities of AI. One side would be more incremental. The other side would be the extreme full AGI. I’ll define it in a bit so that we can at least have a little bit of a definitional view on what the AGI is. Then the other axis would be how gains are distributed, concentrated versus broad. Obviously, if they’re very concentrated, it’s more unequal. It only goes to a few companies, a few people, a few individuals. If it’s broad, it’s much more dispersed through society, et cetera. AGI, just to try to define it, the formal definition of it is that it’s a hypothetical AI that matches or exceeds human capabilities across virtually all cognitive and practical tasks. In some ways, AGI can learn, reason, and adapt to novel situations across any domain. Then there are several mutations on this, but there’s one notion, or rather, there are three notions that normally are across a lot of these definitions. One is generalization, ability to seamlessly transfer knowledge from one domain to another without needing retraining, which is a very impressive skill that we humans still seemingly have. Autonomy in agency, the capacity to operate independently, set goals, plan and execute complex tasks. I think AI is their issue with agents to a lot of that extent. Then, last but not least, human parity, performing economically valuable work at or above the level of a typical human knowledge worker. If you listen to one of our last episodes, you’ll realize that Bertrand and I have slightly different views on AGI, and if it’s already here or not. I think, definitionally, maybe we have slightly different views on what the definition actually is. For me, maybe AGI is a little bit more what some would call superintelligence and generalized superintelligence. Strict to census, Bertrand is more connecting to AGI as in its prime definition. It behaves as well or better than a human thing. Maybe that’s what’s leading us to differences on whether AGI has arrived or not.Bertrand Schmitt Personally, I will have a different scale where I will put AGI, as you just said, in some ways, relatively similar in performance to your average human being. On top of it, it’s able to touch different domains that most humans are not able to do. Usually, there is some level of specializations where in AI, it can be more generic. I will put ASI, Artificial Superintelligence, as clearly the step beyond. Something that, on any dimension you pick, it’s able to beat a human expert. From my perspective, I think we already discussed that, but we are at AGI already. We have AI that can do way better, not just way better, but at least as well as humans on many topics, sometimes better. Yes, there are some topics that are not for AI yet. Embodiment, for instance, to flock with your humanoid robot in 2026. For me, we are partially there or fully there in AGI. If we take the stricter definition, ASI, we are definitely not there, but my guess is that it’s moving quite fast. We might be there in a few years from now. I don’t think we are talking about multi-decades. It’s 5 years, maybe 10. Of course, there are questions because people will say, for instance, “Hey, how do you become truly super-intelligent when all your training is based on human data?” That’s not an easy one because how do you train on that? To be way better, not just a bit better, but way better. Maybe I’m going on a tangent, but some are looking at AI learning from AI, AI being taught from AI, AI fighting with AI, AI challenging AI. The same way we saw this AlphaGo moment where AI was not trained anymore, like in chess with human moves, but has been trained to play against itself. That’s when it reached superintelligence in Go. It reached superintelligence by playing against itself and basically letting go of that human baggage, if you want, and going to the next level. What I found interesting in that, actually, first, that’s what happened, but two, there was some analysis that the average level of Go players and the top players went up after AlphaGo because AlphaGo, in a way, opened doors that humans didn’t believe were open in front of them, or they didn’t see them. They didn’t see these doors, so they didn’t bother to open them. AI opened new doors, but interestingly enough, humans improved after that, thanks to AI. You see what I mean? It was an interesting, okay, that self-learning from AI was the way to go beyond the current level of human knowledge and human expertise, but at the same time, humans were able to follow up. It was not like suddenly humans are totally useless crap. They improved. Did they still beat AI? Maybe not, but it was definitely also helpful.Nuno Gonçalves Pedro Back to our scenarios. We’re going to take the definitional extreme just for argument’s sake for scenarios. We’re going to talk about maybe what you were saying, ASI rather than full AGI, but like ASI. Again, artificial superintelligence as the extreme on the one hand. Let me talk about maybe the first scenario that would come to mind. Maybe we can call it the plateau scenario. All of this was great, but it was all smoke and mirrors. They were great at some cognition stuff. They’re a great tool. At some point, they’re going to hit a wall. Hallucinations are never going to be a thing of the past. We can’t fully trust them on really hardcore stuff. We’ll gain productivity enhancements. We’ll keep gaining those productivity enhancements, but at some point in time, we really won’t reach ASI. We really will be stuck with what we have. It’s a little bit like we get the next big thing, the next big spreadsheet, the next big internet, but it’s not going to change the whole world beyond just productivity, enhancements, and amazing tools that we have available to us that makes us much better. In that scenario, the winners will continue being fast adopters, probably small and medium businesses, because there won’t be a push for maximum speed either, so they’ll catch up at some point. Then AI native companies will be better companies than other companies, but not necessarily overall disruptors across the board. It’s not necessarily a new species of companies. It’s just companies that are a little bit better at doing stuff, which we also saw during the internet phenomenon and that first big push forward and then bubble, where we had some companies that were fundamentally different on how they operated. It took us another couple of decades for companies to be more and more digitally native along the way. Basically interesting, but it’s boring. It’s like, cool, we got tools, we got promised the world. What are the implications? All these companies that are worth trillions and trillions of dollars are not worth trillions and trillions of dollars. Because at some point we’ll face competition, commoditization. It will just be tools and platforms. They will not unlock that next stage. Therefore, this will have been a bubble, and likely it would be a hard landing to that bubble. That’s the implication.Bertrand Schmitt I would just say that, yes, I agree with you, but I would just say overall, even if it stopped today in terms of quality improvement, speed or stuff, or it barely improves, I still think we will have 10 years of madness just to leverage everything that we have today.Nuno Gonçalves Pedro Understood, Bertrand. This is a scenario. I understand, but maybe we’re going to hit a wall, and we’re going to hit that wall next year, or we’re going to hit that wall in 2 years or whatever.Bertrand Schmitt Possibly. I’m just saying we still have 10 years of goodness from that big push in AI we experienced the past few years.Nuno Gonçalves Pedro Absolutely. Agreed, but it’s boring.Bertrand Schmitt It’s boring. It’s a plateau.Nuno Gonçalves Pedro It’s a plateau. The second one is more of something that we have AI, but humans in the loop are going to be critical along the way. The judgment work that we described earlier in the episode is going to be critical to everything that happens. It’s, I would call it the augmentation scenario. The AI will be a great augmentation tool for humans, but humans will never really quite stop being in the loop. Some of the gains that AI has are broadly distributed in society and in the startup, big corporation and small medium business world. Everyone will have access to them. We humans, are still very important. We have all these augmentation things, and AI is mostly benign. There will be a couple of issues, but honestly, at the end of the day, we’re just better. We’re better, faster, more data-driven, more factually current. We’re doing stuff faster, but humans

In this final episode of the Events Demystified seven-year anniversary miniseries, host Anca Platon Trifan explains that “shadow AI” is often ordinary employees using tools like ChatGPT, Copilot, Gemini, Claude, or browser extensions to work faster, unintentionally creating data paths outside company controls. She argues shadow AI reflects both employee responsibility and leadership gaps, citing Verizon's 2026 DBIR data on rising AI use, unauthorized services, and common exposed data types like source code. The episode covers AI security best practices: clear data classification with real examples (especially for events), minimum-necessary data sharing, risks from extensions and excessive agent permissions, the need for limited autonomy, auditability, a kill switch, vendor and integration due diligence, transparent monitoring, and safe incident reporting. Trifan shares a Bill.com virtual card fraud experience and closes with questions leaders should ask and a podcast break until September.

In this episode of Talk Dizzy To Me, vestibular physical therapists Dr. Abbie Ross, PT, NCS and Dr. Dani Tolman, PT sit down with Dr. David Sandlin, a vestibular and oculomotor neurologist at Emory Brain Health Center, to discuss how eye movements can provide critical clues to progressive neurologic diseases.From Parkinson's disease and Progressive Supranuclear Palsy (PSP) to Multiple System Atrophy (MSA), cerebellar disorders, and Multiple Sclerosis (MS), Dr. Sandlin explains how a detailed bedside eye movement examination can detect neurologic disease long before imaging does. He shares the clinical reasoning behind evaluating nystagmus, saccades, smooth pursuit, VOR testing, and other vestibular examination findings that help differentiate central from peripheral causes of dizziness.This episode also discusses the importance of making timely referrals and understanding where vestibular rehabilitation fits into the care of progressive neurologic disorders.Hosted by:

AI is moving far beyond simple chatbots, and many mental health professionals are wondering what comes next.In the first episode of Beyond the Bot, Dan Florell and Adam Lockwood break down one of the fastest-growing areas of artificial intelligence: AI agents. They explain the difference between traditional AI chatbots and autonomous AI systems, where these tools can genuinely save clinicians time, and where they should never be used.The conversation covers practical examples for psychologists, counselors, school psychologists, and private practice owners, including research reviews, program evaluation, website analysis, marketing insights, and automating repetitive administrative work. Just as importantly, they discuss the ethical boundaries, including why protected health information should never be shared with consumer AI tools and why curiosity should come before rushing to adopt new technology.Whether you're just beginning to explore AI or already using ChatGPT, Claude, or Gemini, this episode offers practical guidance to help you understand where the technology is headed and how to prepare for it responsibly.Brightminds AdPAR Ad This episode is brought to you by PAR.Explore the AI Report Writer here:https://www.parinc.com/product/ai-report-writer?utm_campaign=38111624-Psyched%20to%20Practice%202026&utm_source=P2P%20Podcast&utm_medium=Related%20PodcastsLearn more about the RIAS-2 NU here:https://www.parinc.com/product/groups/rias-rist-assessments?utm_campaign=38111624-Psyched%20to%20Practice%202026&utm_source=P2P%20Podcast&utm_medium=Related%20PodcastsTo hear more and stay up to date with Paul Wagner, MS, LPC and Ray Christner, Psy.D., NCSP, ABPP visit our website at: http://www.psychedtopractice.com “Be well, and stay psyched"

Artificial intelligence is quickly becoming an essential tool for work, school, and everyday life—but getting great results starts with knowing how to ask the right questions. In this episode of the Vispero Training Podcast, we explore the art of prompting and share practical strategies for writing clear, effective prompts that help AI tools produce more accurate, useful, and consistent responses. Along the way, we discuss choosing the right AI tool for different tasks, troubleshooting common issues, and improving accessibility when working with screen readers. We also answer audience questions about using ChatGPT, Claude, Copilot, and Gemini with JAWS, working with transcripts and captions during webinars, and techniques for getting better results from AI-powered workflows. Whether you're brand new to AI or looking to sharpen your prompting skills, this episode is packed with practical tips to help you work more efficiently and confidently with today's AI tools.

In today's Cloud Wars Minute, I explore OpenAI's bold move into AI-powered consumer hardware and what it reveals about the future of trust in artificial intelligence.   Highlights 00:03 — OpenAI is adding yet another string to its bow as it becomes increasingly recognized as more than just its flagship ChatGPT product. Now, the company is reportedly developing its first consumer hardware device: a human-like AI companion that lives in the home. 00:21 — The report suggests that OpenAI is creating a portable, screenless AI smart speaker, not the AI phone that many people are expecting. As you might expect, the device will integrate with ChatGPT and handle questions, send messages, play media, and enable smart home controls. 00:38 — All pretty comparable to the existing smart speakers on the market, like Amazon's Echo. However, OpenAI's device is also expected to include cameras and sensors to get a better understanding of where it is and the context. While mechanical moving elements will give it more presence. Over time, the AI will learn about its owner and become increasingly personalized. 01:01 — Now, beyond the obvious—and by that I mean OpenAI's potential foray into consumer electronics and all the potential battles that might start between the leaders in that space—there's something really interesting about the ambition here and what it says about where we are today. Not long ago, the discussion was all about trust. 01:21 — Could we get consumers to trust AI enough to get the most from it? Looking at this investment, I think the answer is yes. This is an AI that not only observes and listens to its owner, but actively changes to adapt to their likes, dislikes, and personalities, passively and without waiting for requests. This is a big jump. Visit Cloud Wars for more.

This week, yep, we had more ongoing Google Search volatility but a calming period on Wednesday. Google has rolled out the platform properties to track X, YouTube...

What if the company quietly making OpenAI, Google, Anthropic, and Meta's models smarter was founded in India?Turing is one of the companies shaping how AI is advancing. It started in 2018 as a talent platform that found the top 1% of the world's engineers, became a unicorn in 2021, and then made a bet almost nobody understood at the time. In early 2022, long before ChatGPT existed, Turing began helping OpenAI improve its models by feeding human expertise directly into training. Today its network of more than four million vetted engineers and domain experts powers the post-training and evaluation work behind the frontier labs, and the company crossed roughly 300 million dollars in revenue while staying profitable, at a 2.2 billion dollar valuation.Vijay Krishnan is the co-founder and CTO. He was an NLP researcher at Stanford back when almost no one believed that predicting the next word could ever turn into reasoning, and he explains why running a modern model company without human-in-the-loop data is like entering a race with three tyres instead of four. He walks through how a model is actually taught to use software like Salesforce, why coding became the beachhead for every lab, and what changed for Turing the moment Scale AI was absorbed into Meta.The conversation then turns to the question every founder is now asked in the room. What is your moat against Claude? Vijay's answer is to go deeper than the frontier labs can reach, into the outcome you own and the context that lives inside an enterprise.If you are excited about how AI actually gets built, who really trains the models, and how to build a company that survives the labs, this episode is for you.00:00 - Trailer02:20 - The Indian company quietly behind OpenAI, Google, and Anthropic04:50 - How Turing went from a talent platform to a unicorn to an AI research partner08:20 - The bet nobody understood11:50 - Why a model company without human data is "racing on three tyres"15:50 - Why coding became the beachhead for every frontier lab19:50 - What changed for Turing the day Meta bought Scale AI23:50 - "What is your moat against Claude?"29:50 - Will AI create more lawyers, not fewer?34:50 - The teams where engineers haven't written code in six months39:50 - 16% of the Philippines' GDP is under threat from AI?43:50 - How you actually teach a model to use Salesforce49:50 - How robots are taught real-world work54:50 - Why million-dollar researcher packages are breaking startup hiring59:50 - The one kind of AI company that gets stronger as the models improve1:04:50 - Product vs. services, and the trap that quietly kills AI startups-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the centre of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us Fan Mail

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as ur reading this im about to get married?!! Taylor Swift invented girl groups, I need to stop complaining, and Alex is wearing highlighter yellow to my wedding...enjoy another cousin couch ep! XOpre-order DADDY ISSUES https://sofiafranklyn.com Follow Sofia on: Instagram - https://www.instagram.com/sofiafranklyn TikTok - https://www.tiktok.com/@sofiafranklyn Twitter - https://twitter.com/sofiafranklyn Threads - https://www.threads.net/@sofiafranklyn Follow Alex on:Instagram: https://www.instagram.com/alexfranco_meow/ Twitch: https://twitch.tv/francmeow_To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policyEpisode Highlights:00:00 Intro00:31 NYC heat + mosquitoes02:02 Wedding dress code frustrations03:50 Catcalling in New York07:28 Alex reads Sofia's manuscript13:42 Book editing stress17:16 Rejecting a ghostwriter21:35 Taylor Swift's MSG wedding rumors24:44 Beauty rest + Q&A intro26:37 Q&A: Letting go of past trauma31:53 Q&A: Dreams about old friends36:00 Q&A: Dating a repressed British man39:13 Q&A: Preventative Botox and fillers40:41 ChatGPT beauty advice + eyebrow mapping43:44 The cosmetic “slippery slope”Sofia with an F, Sofia Franklyn, Sofia Franklyn podcast, Hollywood drama, celebrity, celebrity lifestyle, love, breakup, breakup stories, self help, self healing, dating, dating tips, Alex Franco

The AI industry spent the week arguing with itself, which is honestly the healthiest thing it's done in years. One coalition led by Nvidia begged regulators not to slow down open AI models, while more than 1,100 AI workers signed another letter asking regulators to do exactly that. Anthropic warned about bioweapons, OpenAI admitted the four-hour workweek isn't happening after all, and Microsoft's Satya Nadella reminded everyone that building your entire business on someone else's AI is a fantastic way to outsource your own brain. In other words, the people selling the future still can't agree on what they're selling, except that you'd better buy it fast.Meanwhile, the AI bubble keeps demanding sacrifices. Patreon, BuzzFeed, and Uber all swung the layoff axe while insisting AI isn't replacing humans... it's just reorganizing them out of a paycheck. Nvidia is floating another three-quarters of a trillion dollars in infrastructure deals that have people muttering "AI subprime mortgage crisis," China has discovered there's money in renting your face to AI companies, and the U.S. is carving data centers out of pollution rules because apparently acid rain is a small price to pay for chatbot dominance. Add in ChatGPT suddenly refusing to imitate famous authors, researchers discovering AI coding assistants are happily installing malware if you ask nicely, and Meta launching an ad campaign about the wonders of AI that somehow forgets to mention what any of those wonders actually are.Elsewhere in Tech Hell™, eBay finally paid the price for its executives' unhinged harassment campaign involving pig masks and live insects, Elon is shopping The Boring Company while promising money won't matter in the AI utopia of 2036, and a traveler is headed to court after allegedly triggering GrapheneOS's "duress PIN" during a border search. We also hit Media Candy with Star Trek: Strange New Worlds, Silo, Blade Runner 2099 and Neuromancer, celebrate Dave Bittner's birthday, marvel at Jason's ever-growing Boneyard of dead websites, and somehow end up discussing thermal cameras, piano repair, and old-man bladder supplements. Because that's what happens when Gen X gets older - we just add more tabs instead of closing the old ones.Sponsors:DeleteMe - Get 20% off your DeleteMe plan when you go to JoinDeleteMe.com/GOG and use promo code GOG at checkout.StoryBlocks - For a limited time, they're offering 15% off any annual plan at storyblocks.com/gogPrivate Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/757Watch on YouTube at https://youtu.be/Sii_nodESkcSHOW NOTESEBay and Former Execs Will Pay $56 Million to Couple They Tormented With Bloody Pig MasksAs US weighs response to Chinese AI, industry urges against broad open-weight restrictionsAI researchers call for new tools that can slow automated model developmentOver 1,100 AI workers sign letter asking US to support tools that 'pace the frontier of automated AI development'Anthropic's Dario Amodei responds: doesn't oppose open-weight models, but fears Chinese AIAmodei Denies Anthropic Supports Open-Weight AI Ban, Warns of China RisksSam Altman said AI hasn't led to 4-hour workweeks because people are competitiveSam Altman Shuts Down Hopes of an AI-Led 4-Day Workweek Anytime SoonOpenAI Proposes 32-Hour Pilot Incentives for EmployersSatya Nadella says companies that trust one AI for everything may not survive Microsoft CEO Satya Nadella warns companies relying on one AI model may not surviveOpenAI's rogue hacking incident was a warning shot. Will it be a wake-up call to finally create AI safety regulation?Behind the Curtain: AI godfathers converge on regulationsPatreon is laying off 20 percent of its staffAI Mania Is Eviscerating Global Decision-MakingBuzzFeed Lays Off 33 Percent of Remaining Staff After Bizarre Pivot to AIUber lays off 10 percent of its customer service team in favor of using AIIn China, people are renting out their faces to AIAs SpaceX Sheds a Tesla's Worth of Value, Elon Musk Is Trying to Sell Investors on Another CompanyHow Much Charity Would It Take for People to Like Elon Musk?ChatGPT is now refusing requests to write in famous authors' stylesNvidia's $750 Billion Deals Revive Fear of AI Circular FinancingThe Trump administration is exempting data centers from pollution laws intended to prevent acid rainUS accuses American of allegedly wiping his phone using a 'duress' password during border searchMeta launches new Facebook Verified badge for actual, real humansMeta launches a storefront platform through Facebook MarketplaceMeta's pro-AI ad campaign is conspicuously light on AIIf You AI-Generate Code, Hackers Just Found a Devious Method to Install Malware Directly on Your ComputerMinions & MonstersStar Trek: Strange New WorldsBroadchurch S2SiloTed Lasso Season 4 TrailerNeuromancer — Official Teaser | Apple TVPrime Video Finally Lifts the Lid on ‘Blade Runner 2099'Star Trek: Section 31Bad Deeds by Andrew Hunter MurrayDave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the BuildingJason DeFillippoJurassic Park computers in excruciating detailWho are the Mandalorians? | Star Wars: Galaxy GuideHF96V Thermal Camera with Visual Camera & Laser Pointer, Intelligent Scene Detection, 240 * 240 Super Resolution Thermal Imaging Camera,25 Hz, 50° FOV, -4°F to 1022°F, IP54 Infrared CameraProject FarmSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Donald Trump suggests introducing controls on artificial intelligence following OpenAI's admission that it lost control of systems under test. But the US president said any restrictions should not allow China to win the AI race. Also: Germany says deportations to Afghanistan are no longer limited to criminals. A special report from a train journey across Iran. A mystery illness kills elephants in Kenya. BTS decides not to compete in the Grammys - we find out why. And fancy a private tour of Stonehenge? It could be yours.The Global News Podcast brings you the breaking news you need to hear, as it happens. Listen for the latest headlines and current affairs from around the world. Politics, economics, climate, business, technology, health – we cover it all with expert analysis and insight. Get the news that matters, delivered twice a day on weekdays and daily at weekends, plus special bonus episodes reacting to urgent breaking stories. Follow or subscribe now and never miss a moment. Get in touch: globalpodcast@bbc.co.uk Photo: A mobile phone display showing the icons of artificial intelligence (AI) apps Deepseek, Chatgpt and Gemini. Credit: Hannibal Hanschke/EPA/Shutterstock

A new study from the Oversight Board found that leading AI systems are less likely to criticize authoritarian governments than democratic ones. It's a wild finding — but wait? Why is the Oversight Board studying systems from OpenAI and Anthropic in the first place? Suzanne Nossel, who sits on the board, joined us to discuss the findings and why the Oversight Board's future might involve looking at more than just Meta. Further reading: Zoox can now charge for rides in its steering-wheel-free robotaxis Spotify Running Mode helps match tunes to tempo Friend re-launches its AI pendant with a speaker that talks to you, for twice the price ⁠How Facebook undercut the Oversight Board⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Mazel Morons! Welcome to another UNCUT episode of Good Guys! This week, we're together in the same studio!  We talk about LeBron James joining the 76ers, a Kobe Bryant tribute tattoo, Oprah acknowledging Josh's existence, and the hierarchy of mall treats. Then, the perfect order at Peter Luger Steak House, leaning on ChatGPT for emotional advice, and meeting the RZA on a flight.  What are ya nuts?! Love ya! Learn more about your ad choices. Visit megaphone.fm/adchoices

Microsoft surged 15% on its fastest cloud growth since 2022, while Meta slid 10% defending its AI spending. Aschenbrenner's hedge fund unwound positions after the AI rout, the EU targeted ChatGPT under the DSA, and airlines let AI set fares. Microsoft's Shares Surge on Fastest Cloud Growth Since 2022 (Bloomberg) Meta Falls After Defending AI Bets to Skeptical Investors (Bloomberg) AI investor Leopold Aschenbrenner forced to unwind all public stock positions after steep losses, sources say (CNBC) Source: the European Commission plans to designate OpenAI's ChatGPT and Roblox as "very large online platforms" under the DSA as soon as August (Bloomberg) Airlines are using AI to adjust seat prices more quickly, capturing more revenue while narrowing the pricing gaps that once let travelers find bargain fares (Bloomberg) Subscribe to the ad-free feed. Learn more about your ad choices. Visit megaphone.fm/adchoices

As Big Tech's power continues to grow, it's more important than ever to understand how companies use their control over cloud infrastructure and services to shape more than just the digital world. Cecilia Rikap joins Paris Marx to discuss how these networks of corporate power operate, including how they are systematically used to influence global politics, the economy, and how society views the world.Cecilia Rikap is an Associate Professor at University College London's Institute for Innovation and Public Purpose and the author of The Rulers: Corporate Power in the Age of AI and the Cloud.The podcast is made in partnership with The Nation. Production is by Kyla Hewson. Support the show on Patreon.Also mentioned in this episode:You can now pre-order Paris's new book Hyperscale.Cecilia and Paris worked on a white paper offering a roadmap to reclaiming digital sovereignty.Support the show

Weekly AI Content Ideation System: https://clickhubspot.com/rtjed Ep. 440 Are you still stuck regurgitating the same content ideas that everyone else is using?  Kieran dives into the secrets behind building a world-class AI content ideation system that delivers fresh, high-impact ideas every time. Learn more on mapping proven content patterns to your platforms, crafting rich audience profiles (that go beyond basic ICPs), and building a personal content queue to keep your creativity flowing—all while making AI your creative superpower, not a shortcut. Mentions Loop: Outlearn. Outmarket. Outgrow https://a.co/d/08By5k2w Claude https://claude.ai/ ChatGPT https://chatgpt.com/ Substack https://substack.com/ Atomic Habits https://jamesclear.com/atomic-habits Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Bobby talked about a celebrity who followed him on Instagram yesterday and was surprised this person remembered who he was. He then has a question based upon how many people this celeb followed and why Bobby feels offended by it. Eddie shared a story of two guys who got into a heated fight on a golf course and we recount the time this happened to Lunchbox. We talked about the man who was nearly sucked out of an airplane who is finally speaking out, and Bobby explains why that story would've kept him awake for years. The show debates whether chasing your dreams is overrated. We got into a surprisingly heated conversation: people are talking dirty with ChatGPT...but does that count as cheating?See omnystudio.com/listener for privacy information.

It's a science fiction nightmare: What happens if the machines take over?The world got a potential taste of that last week, when OpenAI, the maker of ChatGPT, said two of its models had autonomously hacked into another AI company.OpenAI says its technology carried out the attack during a cybersecurity test.The incident has highlighted fears that losing control of AI could pose broader safety concerns for the real world. For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or at plus.npr.org. Email us at considerthis@npr.org.This episode was produced by Elena Burnett and Kathryn Fink, with audio engineering by Ted Mebane. Our director is Jonas Adams.It was edited by Mallory Yu and Tinbete Ermyas.Our interim executive producer is Courtney Dorning.See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

In honor of the release of her audiobook Love at First Prompt, Bridget Todd breaks down the questions we should be asking about the relationships people form with AI, the attempts to legislate around them, and the companies profiting from the desire for emotional connection.See omnystudio.com/listener for privacy information.

A.M. Edition for July 29. Oil prices rise after Iran launches a surprise missile attack on U.S. forces. Plus, Europe's luxury brands try to move past years of sluggish demand. And as Meta spends big on its AI transformation—technology CEO Mark Zuckerberg says the U.S. should help to accelerate—Journal reporter Meghan Bobrowsky says a host of lawsuits could cost it billions. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.