Podcasts about Generative

Private Generative AI for Anesthesiologists: Part 2"From Plug-and-Play to Agentic AI: Three Ways to Build Your Private Generative AI." From ASRA Pain Medicine News, February 2026. See the original article at www.asra.com/february26news for figures and references. This material is copyrighted. Support the show

Fevzi Turkalp, the Gadget Detective, joins Eddie Nestor on BBC Radio London to discuss generative AI. What is it? What can it do? What are the dangers? Should we be more wary about the increasing reliance upon the technology, especially considering the impact it has on the environment?You can follow and contact the Gadget Detective on X @gadgetdetective and Bluesky @GadgetDetective.com#Fevzi#Turkalp#Gadget#Detective#Tech#Technology#News#Reviews#Help#Advice#Eddie#Nestor#BBC#Radio#London#AI#Artificial#Intelligence#Generative#Information#Images#Video#Data#Google#Microsoft#Apple#X#Musk#Environment#Water#ChatGPT#Claud#Perplexity#Grok#Email#Chatbot#Military#War#Warfare#Politics#Weapons#Resources

In dieser Folge beleuchten wir die Veränderungen, die wir in Unternehmen in puncto Führung und auch Coaching wahrnehmen konnten. Generative künstliche Intelligenz breitet sich zunehmend aus und wir sprechen über Implikationen auf den Arbeitsmarkt und was Du jetzt tun kannst, um Dich diesen Veränderungen im Markt zu stellen.

00:00 Introduction01:50 The focus of the four gospel accounts02:40 The hymnody, apolytikion & odes for Palm Sunday07:55 But what about us Gentiles?11:59 We are from the ten tribes & we are grafted in to restore them13:42 Closing~~~Palm Sunday - Is This For Everyone?~~~Reference materials for this episode: Orthros for the Sunday of The Triumphant Entry into Jerusalem Scripture citations for this episode:Isaiah 1:2-3 - Prophecy we see reflected in The Nativity icon, those Of The Nations are the donkeyEzekiel 37: 1-14 - The valley of the dead bonesZachariah 9:9-17 - The prophecy picked up by Saint MatthewThe Triumphal Entry into Jerusalem - Matthew 21:1-17 - Mark 11:1-11 - Luke 19:28-40 - John 12:12-19Matthew 27:51-53 - Those who rose from the dead when Jesus died~~~In our series of reflections on the Lenten Triodion we have reached Palm Sunday, which, strictly speaking, is after Lent is over, but we're going to carry all the way through Holy Week here.When talking about Lazarus Saturday, Jim focused on what Jesus' ministry meant for The Jews. This week he's focusing on what it means for those of us who are Of The Nations, known as Gentiles. Salvation is for everyone.The Christian Saints Podcast is a joint production of Generative sounds & Paradosis Pavilion. Our hosts are Father Symeon Kees of Iowa City & James John Marks of Chicago.Paradosis Pavilion - https://youtube.com/@paradosispavilion9555https://www.instagram.com/christiansaintspodcasthttps://x.com/podcast_saintshttps://www.facebook.com/christiansaintspodcasthttps://www.threads.net/@christiansaintspodcasthttps://bsky.app/profile/xtiansaintspodcast.bsky.socialIconographic images used by kind permission of Nicholas Papas, who controls distribution rights of these imagesPrints of all of Nick's work can be found at Saint Demetrius Press - http://www.saintdemetriuspress.comAll music in these episodes is a production of Generative Soundshttps://generativesoundsjjm.bandcamp.comDistribution rights of this episode & all music contained in it are controlled by Generative SoundsCopyright 2021 - 2026

  Welcome to the Conscious Millionaire Show - How to Become an Ultra-Performer. Now 3X week M / W / F with host JV Crum III.   Are you an Entrepreneur, Founder, or CEO? Revenues $250K to $50M? Sign up for your Breakout Session...and discover how to break out as an Ultra-Performer who reaches your peak 1% level. Book your session now...     Schedule Your Breakout Session Now     Join Host JV Crum III, with 2 exits and over 75M revenues in his companies, he is the Ultra-Performer Coach for 6- to 8-figure owners ready to join the top 1%.   Season 12 of the award-winning Conscious Millionaire Show. World's #1 conscious business and performance podcast for foundeers and entrepreneurs who want to become Ultra-Performers.      SUBSCRIBE to Conscious Millionaire Show     Millions of Listeners. 190 countries. Inc Magazine "Top 13 Business Podcasts" with over 3,000 episodes. Listen 3X a week.

  Welcome to the Conscious Millionaire Show - How to Become an Ultra-Performer. Now 3X week M / W / F with host JV Crum III.   Are you an Entrepreneur, Founder, or CEO? Revenues $250K to $50M? Sign up for your Breakout Session...and discover how to break out as an Ultra-Performer who reaches your peak 1% level. Book your session now...     Schedule Your Breakout Session Now     Join Host JV Crum III, with 2 exits and over 75M revenues in his companies, he is the Ultra-Performer Coach for 6- to 8-figure owners ready to join the top 1%.   Season 12 of the award-winning Conscious Millionaire Show. World's #1 conscious business and performance podcast for foundeers and entrepreneurs who want to become Ultra-Performers.      SUBSCRIBE to Conscious Millionaire Show     Millions of Listeners. 190 countries. Inc Magazine "Top 13 Business Podcasts" with over 3,000 episodes. Listen 3X a week.

Join host Mike Sacopulos for an eye-opening conversation with Hugo Huang about the financial realities of adopting generative AI in healthcare organizations. Drawing from his Harvard Business Review article "What CEOs Need to Know About the Costs of Adopting Gen AI," Hugo explains why many companies are pulling back from AI implementation due to unexpected cost pressures — and what leaders can do to avoid these pitfalls. From understanding the difference between predictive and generative AI to navigating infrastructure bottlenecks and the emerging "diamond-shaped" organizational structure, this episode provides practical guidance for healthcare executives navigating the complex landscape of AI adoption. Hugo Huang, MBA, is an expert in cloud computing and business models who works with Canonical, a leading provider of infrastructure technology for Google's cloud business. He discusses building your AI cost dashboard, top metrics CEOs should track for AI spending visibility, understanding consumption patterns to estimate future costs, and getting started safely on AI. "What CEOs Need to Know About the Costs of Adopting Gen AI" by Hugo Huang, published in Harvard Business Review and featured for members of the American Association for Physician Leadership. https://www.physicianleaders.org/articles/what-ceos-need-to-know-about-the-costs-of-adopting-genai Learn more about the American Association for Physician Leadership at www.physicianleaders.org.

GUEST BIO: Ernie Harker is the $Billion Branding Guy, author of "Your Brand Sucks," and Generative AI master. He teaches businesses how to use AI for on-brand marketing and helps them break out of obscurity by discovering what truly makes them different. Ernie led the brand transformation of a regional convenience store into a $3 billion brand with his fun, friendly approach.   HIRE THEM TO SPEAK: Follow Ernie Harker: eSpeakers Bio Follow Scott Bloom: eSpeakers Bio Follow eSpeakers: eSpeakers Marketplace   ABOUT NO MORE BAD EVENTS: Brought to you by eSpeakers and hosted by professional emcee, host, and keynote speaker Scott Bloom, No More Bad Events is where you'll hear from some of the top names in the event and speaking industry about what goes on behind the scenes at the world's most perfectly executed conferences, meetings, and more. Get ready to learn the secrets and strategies to help anyone in the event industry reach their goal of putting on nothing less than world-class events. Learn more at nomorebadevents.com.   ABOUT THE HOST: A veteran comedian and television personality who has built a reputation as the go-to choice for business humor, Scott has hosted hundreds of events over two decades for big and small organizations alike. Scott has also hosted his own weekly VH1 series and recently co-hosted a national simulcast of the Grammy Awards from the Palace Theater. As the son of a successful salesman, he was exposed to the principles of building a business at an early age. As a comedian, Scott cut his teeth at renowned improv and comedy clubs. As a self-taught student of psychology, he's explored what makes people tick and has written a book (albeit a farce) on how to get through life. He's uniquely positioned to deliver significant notes on connecting people and making business seriously funny. And who doesn't like to laugh? Learn more about Scott: scottbloomconnects.com   PRODUCED BY eSpeakers: When the perfect speaker is in front of the right audience, a kind of magic happens where organizations and individuals improve in substantial, long-term ways. eSpeakers exists to make this happen more often. eSpeakers is where the speaking industry does business on the web. Speakers, speaker managers, associations, and bureaus use our tools to organize, promote, and grow successful businesses. Event organizers think of eSpeakers first when they want to hire speakers for their meetings or events. The eSpeakers Marketplace technology lets us and our partner directories help meeting professionals worldwide connect directly with speakers for great engagements. Thousands of successful speakers, trainers, and coaches use eSpeakers to build their businesses and manage their calendars. Thousands of event organizers use our directories every day to find and hire speakers. Our tools are built for speakers, by speakers, to do things that only purpose-built systems can. Learn more at eSpeakers.com.   SHOW CREDITS: Scott Bloom: Host | scottbloomconnects.com Joe Heaps: eSpeakers | jheaps@eSpeakers.com

In this solo episode, Scott Snibbe explores an unexpected intersection of AI, music, and love. After discovering the generative music platform Suno, he created deeply personalized songs for members of his family—turning their life stories, struggles, and triumphs into hyper-specific “love songs” in the Buddhist sense of wishing others happiness. As he shares the music and the emotional reactions it evokes, Scott reflects on how art (now amplified by AI) can transform even painful memories into meaning, lift low moods, and open the heart. Episode 216: Generative Love: Using AI to Turn Lives Into SongIf you'd like to practice with others and bring these ideas into your life, join our weekly meditation community with Scott.

In this episode, Dr. Mark Mabus, Chief Medical Informatics Officer at Parkview Health, shares how his team rapidly scaled generative AI across clinical and revenue cycle operations, driving efficiency, reducing burnout, and strengthening ROI. He also discusses governance, provider adoption, and expanding equitable access to AI tools across rural communities.

Generative artificial intelligence (AI) is taking the world by storm, promising to enhance efficiency and revolutionize business. Corporations are embracing the technology, with AI market size expected to reach $1 trillion by 2030. But companies that deploy AI for their operations are confronting risks involving litigation, privacy, and ethics. And regulators are struggling to keep pace with its rapid deployment, leading some to fear AI is out of control — that it could spawn a surveillance state and render portions of the workforce obsolete.  How can businesses best employ AI efficiently? What are its superpowers — and potential perils? And what's in store for the future of AI technology?Join The Sidley Podcast host and Sidley partner, Sam Gandhi, as he speaks with one of the firm's thought leaders on these issues — Dave Gordon, a member of the firm's Executive Committee, the co-leader of the firm's Commercial Litigation and Disputes practice, the head of the Litigation group in the firm's Chicago office, and the co-chair of the firm's Artificial Intelligence Council. Together, they discuss who is using AI and why, the risks and best practices to deployment, and what to expect in the ever-changing legal and regulatory landscape. 

Sam Altman's OpenAI was reportedly aware of potential danger from the Tumbler Ridge mass shooter, yet the company's privacy thresholds prohibited employees from alerting law enforcement of the disturbing content. Instead, nine people were killed. In the aftermath of the update, federal AI and innovations minister, Evan Solomon called out the powerhouse behind ChatGPT, saying their failure to act was a failure in and of itself. Solomon is set to meet with Altman this week to discuss the incident further. Host Caryn Ceolin speaks with Ebrahim Bagheri, a professor at the University of Toronto who founded and directed the NSERC CREATE initiative on responsible AI. They discuss what AI companies do when they find troublesome behaviours, the need to respect privacy, and what the government might be able to do to make sure a tragedy like this never happens again. We love feedback at The Big Story, as well as suggestions for future episodes. You can find us:Through email at hello@thebigstorypodcast.ca Or @thebigstory.bsky.social on Bluesky

In this episode, Dr. Mark Mabus, Chief Medical Informatics Officer at Parkview Health, shares how his team rapidly scaled generative AI across clinical and revenue cycle operations, driving efficiency, reducing burnout, and strengthening ROI. He also discusses governance, provider adoption, and expanding equitable access to AI tools across rural communities.

In this episode, Dr. Mark Mabus, Chief Medical Informatics Officer at Parkview Health, shares how his team rapidly scaled generative AI across clinical and revenue cycle operations, driving efficiency, reducing burnout, and strengthening ROI. He also discusses governance, provider adoption, and expanding equitable access to AI tools across rural communities.

00:00 Introduction01:19 The Gospel Account of Saint John's telling of the raising of Lazarus08:53 The apolytikion emphasizes the general resurrection11:29 Parallel to The Feast of Transfiguration12:32 The verses of the odes for Lazarus Saturday15:36 Our obligation to the evangelion of The Christ19:45 Closing~~~Lazarus Saturday - From What Are We Saved?~~~Reference materials for this episode: Little Compline for the evening prior to Lazarus Saturday - As translated into English by the Antiochian Archdiocese of North AmericaScripture citations for this episode:John 11:1 - John 12:11 - The raising of Lazarus~~~Jim returns to the series of Lenten Triodion reflections he began last year. Having completed the Sundays of preparation & the Sundays of Lent, he picks up this week with Lazarus Saturday.The Church emphasizes the confirmation of the general resurrection as well as this event being the "final straw" which drives the Sadducees to seek Jesus' death which is why this day is one week prior to His crucifixion on the Liturgical calendar.The Christian Saints Podcast is a joint production of Generative sounds & Paradosis Pavilion. Our hosts are Father Symeon Kees of Iowa City & James John Marks of Chicago.Paradosis Pavilion - https://youtube.com/@paradosispavilion9555https://www.instagram.com/christiansaintspodcasthttps://x.com/podcast_saintshttps://www.facebook.com/christiansaintspodcasthttps://www.threads.net/@christiansaintspodcasthttps://bsky.app/profile/xtiansaintspodcast.bsky.socialIconographic images used by kind permission of Nicholas Papas, who controls distribution rights of these imagesPrints of all of Nick's work can be found at Saint Demetrius Press - http://www.saintdemetriuspress.comAll music in these episodes is a production of Generative Soundshttps://generativesoundsjjm.bandcamp.comDistribution rights of this episode & all music contained in it are controlled by Generative SoundsCopyright 2021 - 2026

Every time you use a Large Language Model (or Chat Model), you're wasting water, fueling fascism, and shrinking your imagination. So what can you do about it? Our hosts Rosie Tran and Amanda King explain. Also in this episode: A deep dive into the privacy concerns created by Large Language models. They know WAY more about you than you think. All this and more in this week's episode of Stupid Sexy Privacy. 

Transferable lessons - how overlooking fundamental security and data trust leads to Generative and Agentic AI failuresSteps for embedding security checkpoints and governance directly into your AI pipelineStrategies to scale AI safely - avoiding costly retrofits - and positioning security as a key competitive advantageThom Langford, Host, teissTalkhttps://www.linkedin.com/in/thomlangford/Tim Roberts, Managing Director, AlixPartnershttps://www.linkedin.com/in/thrrobertsSatyam Rastogi, Director of Information Security & DevOps, BAMKOhttps://www.linkedin.com/in/hackersatyamrastogi/Deryck Mitchelson, Head of Global CISO Team & C-Suite Advisor, Check Pointhttps://www.linkedin.com/in/deryckmitchelson

Let's talk about every lawyer's favorite subject: exams. It seems like every day, there's another threshold that generative artificial intelligence crosses. First, it was able to take a bar exam and do reasonably well. Then it was able to ace it. Same with law school exams. Right now, AI would probably graduate at the top of its class, edit law review and land a six-figure associate's job with an Am Law 50 firm. Now comes another milestone. Subscribe to ABA Journal: Legal Rebels: https://play.megaphone.fm/yo1baz8xraemljru5ra-tw Learn more about your ad choices. Visit megaphone.fm/adchoices

Humans in the loop are, in theory, supposed to be as much a part of all conversations surrounding the use of generative artificial intelligence tools as a way to safeguard against major mistakes. But as GovCon attorney David Timm has found out, errors showing misuse of the technology are starting to come up in bid protests and other legal rulings that show what can go wrong when relying on the tech too much. Timm, a partner at the law firm Burr & Forman, joins our Ross Wilkers for this episode to share his findings from those decisions and how they could help set some guardrails for the use of GenAI in GovCon law. Even with the problems he sees, Timm is an optimist for how the tech can remove what he calls “Entropy” from workflows and make some tasks easier. Gen-AI Misuse in Procurement Litigation Procurement is Not "Oready" for GenAI Misuse Can a federal agency adopt the output of a Gen-AI bid evaluation tool? Buying Blind: Corruption Risk and the Erosion of Oversight in Federal AI Procurement

How do we govern in a world where technology is no longer evolving in steps… but exploding exponentially? How do we harness their upside while managing their risks? How do we lead in a world where innovation moves at the speed of light, but trust and institutions move more slowly? Join host Michael J. Keegan […]

How do we govern in a world where technology is no longer evolving in steps… but exploding exponentially? How do we harness their upside while managing their risks? How do we lead in a world where innovation moves at the speed of light, but trust and institutions move more slowly? Join host Michael J. Keegan as he explores these questions and more with Andrea Bonime-Blanc, author of Governing Pandora: Leading in the Age of Generative AI and Exponential Technology.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this week's episode, we take a look at hysteria over AI, and compare it to past religious movements like William Miller's Great Disappointment. This coupon code will get you 50% off the audiobook of Half-Elven Thief, Book #1 in the Half-Elven Thief series, (as excellently narrated by Leanne Woodward) at my Payhip store: RIVAH50 The coupon code is valid through March 2, 2026. So if you need a new audiobook this winter, we've got you covered! TRANSCRIPT 00:00:00 Introduction and Writing Updates Hello, everyone. Welcome to Episode 291 of The Pulp Writer Show. My name is Jonathan Moeller. Today is February 28th, 2026, and today we're looking at AI hysteria and whether or not AI gives any actual benefits to people. We also have Coupon of the Week, progress updates on my current writing projects, and also Question the Week, where we talk to people about AI. But first, let's start off with Coupon of the Week. This week's coupon code will get you 50% off the audiobook of Half-Elven Thief (as excellently narrated by Leanne Woodward) at my Payhip store. That coupon code is RIVAH50. This coupon code will be valid through March 2, 2026. So if you need a new audiobook as we exit winter and come into spring, we have got you covered. Now let's have an update on my current writing and publishing and audiobook projects. I'm pleased to report that the rough draft of Cloak of Summoning is done. It turned out to be just about as long as Cloak of Worlds, maybe a thousand words shorter. I am about 20% through the first round of editing, and I am hopeful that that book will be out sometime in March, probably the first week of March if all go as well. I've also written a short story called Dragon Claw that newsletter subscribers will get for free in ebook format when Cloak of Summoning comes out, which as I said will hopefully be in early March. I'm also 11,000 words into Blade of Wraiths, the fourth book in my Blades of Ruin epic fantasy series, and that will be my main project once Cloak of Summoning is published. In audiobook news, the audiobook of Blade of Shadows (as narrated by Brad Wills) is now out at almost all the stores, so you can get it at Audible, Apple, Google Play, Kobo, and the other main stores. Cloak of Titans (as narrated by Hollis McCarthy) is done and is currently rolling out to the stores. I think as of right now, you can get it at Google Play, Kobo, and my own Payhip store, but it should be showing up on Audible and the other main stores before too much longer. So that is where I'm at with my current writing, publishing, and audiobook projects. 00:01:56 Question of the Week Now let's move on to Question of the Week. For the first Question of the Week of 2026 and this week's question: have you personally derived any benefits or experienced any negatives from the rise of generative AI? And this question was inspired by the topic of this week's post, obviously enough since we're talking about AI. I should note that this is a contentious topic with divergent opinions, and so I asked people to remain civil in the comments and they definitely were, so thank you for everyone for that. Now let's have some opinions on AI before I tell you how AI has positively and mostly negatively affected my life. Joachim says: I have not used AI for private purposes. My Con: My Chromebook might be obsolete rather sooner than later. In my company, we use an AI, which is helpful. It has all the knowledge articles, so you can ask, how do I do this or that? The company's Con: laptop prices are going up. Eddie says: My Cons are much the same as yours. My Pros are using it to create images for tabletop games to help players visualize monsters and NPCs. I have found it effective in turning voice to text meeting notes into meeting minutes and actions. Jesse says: Software engineer here. I have found it helpful when I'm working on something in a language I'm not as familiar with the syntax. As a "how I might do this" learning tool, it's not bad. As a "do this for me/vibe code" thing, no thanks…too much trust. John says: Yes and no. I was in an AI startup that stopped paying me and my team for two months then let us go. We're currently suing them for back pay, but the tech worked and is still working. I also work in ad tech. Devs are trying to get more productive using AI tools. It's hit and miss as far as I can tell, but using traditional machine learning and data science to optimize marketing has worked for decades and still works, but that's not what people consider to be AI nowadays. Also drove across the country last August and used ChatGPT to plan my trip, and that works splendidly. I think John might win here for largest negative in his comment though, to be fair, that's more for business reasons than for AI itself, though I, for his sake, I'm pleased he was able to use ChatGPT to plan his drive across the country and ChatGPT didn't send him driving off a cliff someplace. Jenny says: I'm so over everyone trying to push this "solution" on me. It's like protein enhanced foods. Stop trying to put protein and AI into everything. Just put it where it makes sense or let me choose it. My negative experiences far outweigh anything helpful. Jimmy says: I have quit using Google search. It never tried to find the answer that I asked for. It just returned what it felt like. Its answers usually matched the paid ads it led the list with. Rob says: Okay for meeting notes and rough drafting for job applications, et cetera. Other than that, seems to have limited use for me personally and is a nuisance on my phone, internet browser, et cetera. And finally, Randy says: my biggest Con is that the AI answers that pop up when I'm trying to search range between inaccurate and dangerously wrong. I suspect many people don't realize they aren't reading actual data when they see them. So thank you to everyone who shared their thoughts on that. For myself, I've mostly experienced negative things with AI and a few positive things though to be honest, both the positive and negative things were relatively minor in the greater scheme of things. So I shall list off the Pros and Cons of my experiences with generative AI. I should mention that none of my books, short stories, for sale audiobooks, or book covers contain any AI elements. If it says Jonathan Moeller on the cover and it's not on YouTube, then it is 100% human made. Now, the Pros and Cons. The Pros: Power Director 365, the video editing program I use for YouTube, has an "animated by AI" feature so I've used it to animate some of my book covers for use of Facebook ads with middling results at best. I used Google's Voice AI stuff to create AI voice versions of the Silent Order books and then put them on YouTube because I wanted to understand the technology. I'm not planning to ever do actual audiobook versions of Silent Order since they wouldn't make back any money, so I wasn't screwing a narrator out of work and the voices involved were licensed by Google, so there was no copyright infringement the way there is with companies like Anthropic. That said, I suspect this is less generative AI and simply a more advanced text to speech technology, which has been around forever. I mean, you could do text to speech back on the earliest versions of the Macintosh. I mean, ideally, I would like text to speech to just be a button in your ereader app of choice for accessibility reasons, and then you can purchase the audiobook if the text to speech was too bland. Overall, a lot of people listen to the AI versions on YouTube, but the listeners mostly complained about the synthetic voice and would've preferred a real narrator, unsurprisingly. Now onto the Cons. Facebook ads went from very effective to middling at best on a good day, thanks to their Advantage Plus AI. I am constantly bombarded by AI generated scam emails of several different varieties. I deleted twelve before I recorded this. The price of Microsoft Office went up, the price for RAM and GPUs went up due to data center hoarding them all. The price for electricity has gone up. Windows 11 and Microsoft Office's performance has gone down quite a bit due to forced AI integration. In fact, I got so annoyed at Windows 11, I switched to writing on a Mac Mini, which I suppose was a positive because I like the Mac Mini, but still. Google Search and all Google products in general are much less useful because of AI and the quality of information on the internet (already low) has gone down quite a bit due to the prevalence of AI slop. Admittedly, neither these Pros or Cons are majorly serious to me personally (with the possible exception of electricity prices going up), but the Cons definitely outweigh the Pros. I can confidently say I have derived no real benefit from generative AI, and I suspect a lot of other people could say the same, if they're honest. 00:07:27 Main Topic of the Week: William Miller, The Great Disappointment, and AI Now onto our related main topic this week, AI hysteria, William Miller, and The Great Disappointment. This past week there were numerous articles from and interviews with various AI bros saying that within 12 to 18 months, AI will replace white collar work and humanity must simply adjust. When I read these articles, I wasn't reminded of the Singularity, of AI, of Skynet and the Terminator, or anything technological. Instead, I thought of a preacher named William Miller who died about 190 years ago. William Miller came out of the Second Great Awakening, which was one of the waves of religious vitality and furor that grip America every so often. Miller almost died in combat as an officer in the War of 1812, and saw one of his men killed in front of him, which understandably left a lasting impression. His experiences led him to an examination of mortality that resulted in a fervent Baptist conversion. He also became convinced that he could calculate the date of Christ's return from the Bible and decided that Jesus Christ would return on October 22nd, 1844. By then, he had a substantial following, and on the day his followers gathered in their churches to await the End of Days and the judging of the living and the dead, many of them having already given away their possessions, but nothing happened. Miller's movement collapsed and most of his followers abandoned their beliefs, though some splinter groups eventually involved into the Adventist branch of American Protestantism, of which the Seventh Day Adventists are the most prominent. Nowadays, when Miller is discussed online, the usual tone is to laugh at the religious rubes from the benighted past, so unlike us enlightened and savvy moderns. But I think the truth is that Miller succumbed to a universal human impulse. Every generation thinks that it is going to be the last generation or the generation that will see the culmination of history, whether they're viewing that through a religious lens or a secular lens. For example, when I was in my early twenties, I knew a very religious woman my own age, who was convinced that the world had become so wicked that it would end by the time she was 30. A few years later, I met another woman who thought global warming would ensure the collapse of the ecosystem and the end of the food chain by the time we were 30. However, I have not been 30 for a rather long span of time now, and for better or for worse, the world grinds on. Nor is this an impulse limited to my own generation. People who came of age during the Cold War thought the world would end in nuclear fire during their lifetimes and a little after that from global cooling. Lesser examples could be seen in the Y2K scare in 2000. Throughout the Middle Ages and the early modern period, it was common for peasant revolts to be led by charismatic preachers who predicted that soon all thrones would be overthrown and Christ would return to judge the living and the dead. Because of all these examples, I'm certain there is a universal human impulse to believe that the world will end in our lifetimes. I think this comes partly from a combination of fear and hope, fear of the future and the end of the world and hope that one's life will be lifted out of the mundane in the final fulfillment of history. You don't have to get up and go to school or work tomorrow if the world ends, but the truth is that the world is most likely not going to end, and you and I are probably going to have to get up and go to work tomorrow. I think the hyperbole about AI comes from that same sort of apocalyptic impulse, this idea that one is living to see and participating in the apotheosis of history when what one is in fact doing is using a money losing chatbot that frequently gets things wrong. To be clear, AI isn't going to wipe out white collar work, and it isn't going to cause the collapse of society, though like cryptocurrency, it will cause a lot of harm without very much benefit. AI simply isn't good enough and doesn't do what does boosters say that it can do. There are numerous people who, in my opinion, are accurately explaining and pointing out the many flaws in AI and in the economic bubble it has created, just as there were people who predicted the fall of the Soviet Union, the dot-com bubble, the housing bubble, the criminal activities of FTX and the flaws of cryptocurrency, and were frequently derided as cranks until subsequent events prove them right. So why all the hyperbole around AI? I think part of it is the end of days impulse we discussed above. The rest of it, I'm afraid, is simple crass desire for money and power. Why are all these tech companies burning unfathomable sums of money on AI when it's obvious, painfully obvious, that the bubble is heading for a crash? After the dot-com crash of the early 2000s, the Internet companies that survived eventually evolved into the tech titans of our day (Amazon and Google come to mind). All these different AI companies and boosters are hoping that their company is the one that survives and becomes the next titan conglomerate of the 2030s. Admittedly, I think this is unlikely. I think that while the most probable outcome for the current model of AI, LLMs, and generative AI is that it ends up like cryptocurrency. For a while, crypto advocates thought that it would overthrow central banking and lead to unprecedented freedom and prosperity. However, while there are many valid criticisms to be made of central banking and fiat currency, one of their advantages is that that they do a good job of shutting down the kind of scams that crypto easily facilitates. For all the glowing promises of its boosters, the primary use case for cryptocurrency has been to cause economic disruptions and to facilitate crimes and scams. I suspect AI will probably degenerate down to a similar state once the bubble pops. The technology won't go away, but it can't do all the miraculous things its backers promise. The money is going to run out eventually and it will inflict a lot of economic damage on its way out. And like crypto, AI will mostly have negative uses. Likely its most common use cases will be to help students cheat on exams, make stupid political memes where someone's least favorite politician (whoever that is) is shaking hands with Emperor Palpatine or Thanos or whoever, engage in mass copyright infringement, and to scam seniors out of their savings. So if you are disturbed by the rhetoric around AI, take heart. When you read an article from someone announcing the glories of AI and discussing how all of civilization will have to rework itself around AI, remember that the person in question is most likely seeking money or power, or are like William Miller's followers the day before October 22nd, 1844. So that is it for this week. Thank you for listening to The Pulp Writer Show. I hope you found the show useful. A reminder that you can listen to all the back episodes at https://thepulpwritershow.com. If you enjoyed the podcast, please leave a review on your podcasting platform of choice. Stay safe and stay healthy, and we'll see you all next week.  

00:00 Opening02:50 Fr Symeon's Sermon21:30 Salvation isn't  heaven, or morality, it's illumination28:11 The paranoia born of living in exile37:18 Orthodoxy doesn't do philosophical apologetics, we seek illumination54:10 You can't put an onion dome on The Academy73:29 Closing & housekeeping~~~This, too, Shall Pass (Season Finale) - S7E20~~~This is the end of season 7, in which we have focused almost entirely on the journey on the way of the life of faithfulness being one which requires us to put all ideologies to the side & focus on the inner, spiritual life.~~~Scripture citations for this episode: - Gospel Reading from Sunday January 11    - Matthew 4:12-17 - Wisdom & illumination are spiritual not discursive    - Colossians 1:3-14The Christian Saints Podcast is a joint production of Generative sounds & Paradosis Pavilion. Our hosts are Father Symeon Kees of Iowa City & James John Marks of Chicago.Paradosis Pavilion - https://youtube.com/@paradosispavilion9555https://www.instagram.com/christiansaintspodcasthttps://x.com/podcast_saintshttps://www.facebook.com/christiansaintspodcasthttps://www.threads.net/@christiansaintspodcasthttps://bsky.app/profile/xtiansaintspodcast.bsky.socialIconographic images used by kind permission of Nicholas Papas, who controls distribution rights of these imagesPrints of all of Nick's work can be found at Saint Demetrius Press - http://www.saintdemetriuspress.comAll music in these episodes is a production of Generative Soundshttps://generativesoundsjjm.bandcamp.comDistribution rights of this episode & all music contained in it are controlled by Generative SoundsCopyright 2021 - 2026

Let's talk about every lawyer's favorite subject: exams. It seems like every day, there's another threshold that generative artificial intelligence crosses. First, it was able to take a bar exam and do reasonably well. Then it was able to ace it. Same with law school exams. Right now, AI would probably graduate at the top of its class, edit law review and land a six-figure associate's job with an Am Law 50 firm. Now comes another milestone.

In our latest Two Think Minimum podcast, TPI's Scott Wallsten talks with Jeffrey Macher, Professor at Georgetown University, about new research on how generative AI is changing scientific publishing around the world. Macher discusses evidence that large language models are being adopted most rapidly by researchers in countries that are linguistically distant from English-speaking nations, and that the language of those papers is increasingly converging with the style of U.S.-based scientific publications. The conversation explores how this shift may expand global participation in research, intensify competition for journal space, and potentially influence long-run innovation and U.S. competitiveness, while also raising questions about how researchers, reviewers, and journals will adapt as AI tools become ubiquitous.

Our 235th episode with a summary and discussion of last week's big AI news!Recorded on 01/02/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:* Major model launches include Anthropic's Opus 4.6 with a 1M-token context window and “agent teams,” OpenAI's GPT-5.3 Codex and faster Codex Spark via Cerebras, and Google's Gemini 3 Deep Think posting big jumps on ARC-AGI-2 and other STEM benchmarks amid criticism about missing safety documentation.* Generative media advances feature ByteDance's Seedance 2.0 text-to-video with high realism and broad prompting inputs, new image models Seedream 5.0 and Alibaba's Qwen Image 2.0, plus xAI's Grok Imagine API for text/image-to-video.* Open and competitive releases expand with Zhipu's GLM-5, DeepSeek's 1M-token context model, Cursor Composer 1.5, and open-weight Qwen3 Coder Next using hybrid attention aimed at efficient local/agentic coding.* Business updates include ElevenLabs raising $500M at an $11B valuation, Runway raising $315M at a $5.3B valuation, humanoid robotics firm Apptronik raising $935M at a $5.3B valuation, Waymo announcing readiness for high-volume production of its 6th-gen hardware, plus industry drama around Anthropic's Super Bowl ad and departures from xAI.Timestamps:(00:00:10) Intro / Banter(00:02:03) Sponsor Break(00:05:33) Response to listener commentsTools & Apps(00:07:27) Anthropic releases Opus 4.6 with new 'agent teams' | TechCrunch(00:11:28) OpenAI's new GPT-5.3-Codex is 25% faster and goes way beyond coding now - what's new | ZDNET(00:25:30) OpenAI launches new macOS app for agentic coding | TechCrunch(00:26:38) Google Unveils Gemini 3 Deep Think for Science & Engineering | The Tech Buzz(00:31:26) ByteDance's Seedance 2.0 Might be the Best AI Video Generator Yet - TechEBlog(00:35:14) China's ByteDance, Alibaba unveil AI image tools to rival Google's popular Nano Banana | South China Morning Post(00:36:54) DeepSeek boosts AI model with 10-fold token addition as Zhipu AI unveils GLM-5 | South China Morning Post(00:43:11) Cursor launches Composer 1.5 with upgrades for complex tasks(00:44:03) xAI launches Grok Imagine API for text and image to videoApplications & Business(00:45:47) Nvidia-backed AI voice startups ElevenLabs hits $11 billion valuation(00:52:04) AI video startup Runway raises $315M at $5.3B valuation, eyes more capable world models | TechCrunch(00:54:02) Humanoid robot startup Apptronik has now raised $935M at a $5B+ valuation | TechCrunch(00:57:10) Anthropic says 'Claude will remain ad-free,' unlike an unnamed rival | The Verge(01:00:18) Okay, now exactly half of xAI's founding team has left the company | TechCrunch(01:04:03) Waymo's next-gen robotaxi is ready for passengers — and also 'high-volume production' | The VergeProjects & Open Source(01:04:59) Qwen3-Coder-Next: Pushing Small Hybrid Models on Agentic Coding(01:08:38) OpenClaw's AI 'skill' extensions are a security nightmare | The VergeResearch & Advancements(01:10:40) Learning to Reason in 13 Parameters(01:16:01) Reinforcement World Model Learning for LLM-based Agents(01:20:00) Opus 4.6 on Vending-Bench – Not Just a Helpful AssistantPolicy & Safety(01:22:28) METR GPT-5.2(01:26:59) The Hot Mess of AI: How Does Misalignment Scale with Model Intelligence and Task Complexity?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this episode, associates explore the intricate relationship between Generative AI, the data centers that power it, and the resulting environmental impact.

Global technology spending is projected to reach $5.6 trillion by 2026, with nearly two-thirds of this investment directed toward software and computer equipment, particularly servers, according to Forrester. Generative AI is cited as a primary driver of this increase, shifting the balance of power toward cloud providers such as AWS and Azure. This escalation has implications for operational margins and the position of IT service providers, as businesses increasingly migrate complex workloads to cloud infrastructure ecosystems.Supporting data shows a disconnect between tech employment trends and hiring activity. In January 2026, technology companies cut approximately 20,155 jobs, mainly in telecommunications, while job postings for tech positions rose by 13% compared to the prior month, based on CompTIA analysis. Dave Sobel interprets this as a shift away from permanent IT headcount to project-based, AI-focused engagements. This development places pressure on service providers, who must adapt to buyers reallocating spend from traditional staffing models to short-term, outcome-oriented contracts.Adjacent discussion covered two press releases: VirtuaCare launched a support offering for Windows-based MSPs needing Apple expertise, delivering an externally verifiable, Apple-certified service. In contrast, Miso announced a roadmap for an autonomous AI L1 technician but did not substantiate claims with deliverables or customer data. Dave Sobel emphasized the need for MSPs to demand piloting, outcome metrics, and auditable product maturity, warning against reliance on unproven AI solutions and highlighting the risk of outsourcing as only a temporary solution.The core implication for MSPs and IT providers is a need for tactical negotiation and operational risk management. Dave Sobel recommends using AI first to reduce internal labor costs before introducing it as a client offering, prioritizing outcome-based pricing and adjusting contracts to retain value from efficiency gains. Providers should avoid becoming displaced labor, rigorously test new technologies before adoption, and remain vigilant regarding vendor claims. The emphasis remains on capturing and defending margins through accountable operations and contract governance rather than chasing speculative innovation.Three things to know today00:00 Tech Spending Hits $5.6T but MSPs Face Margin Squeeze Without AI Pricing Reset05:31 VirtuaCare Ships Apple Support; Mizo Announces Roadmap—One's Testable Today08:17 MSPs Must Capture AI Efficiency Value or Face Margin CompressionThis is the Business of Tech.   Supported by:  Small Biz Thought CommunityCheck out Killing IT

Professors Jeremy Bearer-Friend and Sarah Polcz discuss their recent paper, “Sharing the Algorithm: The Tax Solution to Generative AI,” which outlines their proposal for taxing generative AI companies.For more, read Bearer-Friend and Polcz's article.***CreditsHost: David D. StewartExecutive Producers: Jeanne Rauch-Zender, Paige JonesProducers: Jordan Parrish, Peyton RhodesAudio Engineers: Jordan Parrish, Peyton Rhodes****The submissions period for the Tax Notes Student Writing Competition is open! For more information or to submit, visit taxnotes.com/students. This episode is sponsored by the University of California Irvine School of Law Graduate Tax Program. For more information, visit law.uci.edu/gradtax. This episode is sponsored by Crux. For more information, visit cruxclimate.com/contact.

Peer mentoring accelerates skill-building, boosts collaboration, and fosters innovation, helping organizations embrace generative AI effectively while creating a culture of learning, confidence, and shared expertise. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about an approach to learning that makes sure generative AI is not intimidating.This article forms the basis for this episode: https://disasteravoidanceexperts.com/generative-ai-isnt-intimidating-when-you-learn-it-this-way/

On Cloud Realities, the real insight rarely came from technology alone, it emerged at the intersection of People, Culture, Industry, and Technology. In the remix we bring back familiar voices and topics while going deeper into the wider impacts, influence, and potential of today's tech across society. The 2026 season trailer, arriving a little later than planned, opens with this renewed focus and sets the stage for Episode 1, launching on February 19. Here's a quick trailer to get you ready!TLDR00:11 The emergence of insight from Cloud Realities01:00  Where the magic happens 01:42 The real impact on People, Culture, Industry and Tech HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

In this week's episode of Medicine: The Truth, hosts Jeremy Corr and Dr. Robert Pearl examine a sweeping set of developments shaping American healthcare. From the first state-approved use of generative AI to prescribe medications without human oversight to rising healthcare costs, from worsening vaccine misinformation to the stubborn persistence of preventable disease, this show focuses on biggest stories in medicine today. The episode opens with a groundbreaking and controversial pilot program in Utah that allows a generative AI system to renew prescriptions for chronic disease without physician involvement. From there, the conversation turns to the relentless rise in healthcare spending. New federal data show Americans now spend more than $15,700 per person annually on medical care, with costs growing twice as fast as the economy. While insurance coverage remains high for now, Pearl warns that expiring subsidies, Medicaid restrictions and rising premiums are already pushing millions out of coverage. For many families, healthcare affordability has become a top issue and, increasingly, a political fault line heading into the midterm election cycle. Here are more major storylines from MTT episode 103: Exercise as medicine for depression: A large meta-analysis finds that regular exercise can be as effective as antidepressant medication for many patients. Trump's healthcare plan fades quickly: Pearl explains why the president's proposal disappeared from the headlines. Measles returns in force: Cases are nearing 1,000 and outbreaks concentrated in under-vaccinated communities. Vaccine battles intensify under RFK Jr.: New appointments to federal advisory committees raise alarm among scientists, as anti-vaccine voices gain influence. Chronic disease remains America's top killer: Cardiovascular disease continues to claim nearly one million lives annually. Generative AI's biggest promise: Pearl makes the case that AI-driven, at-home monitoring could finally transform chronic disease management. Cancer trends turn ominous: Colorectal cancer deaths among Americans under 50 are rising sharply, becoming the leading cancer killer in this age group. Genetics vs. lifestyle revisited: New research suggests genetics may account for half of lifespan variation but lifestyle still determines how many of those years are lived in good health. High-deductible health plans: New data show cancer patients with high-deductible insurance have significantly higher mortality. GLP-1 weight-loss pills arrive: The first oral GLP-1 drug launches to record demand. A devastating flu season for children: Despite the availability of safe vaccines, pediatric flu deaths reach alarming levels among unvaccinated kids. As the episode closes, Dr. Pearl delivers a stark warning about the resurgence of pseudoscience in medicine. Tune in for more fact-based coverage and analysis of healthcare's biggest stories.   * * * Dr. Robert Pearl is the author of the new book “ChatGPT, MD: How AI-Empowered Patients & Doctors Can Take Back Control of American Medicine” about the impact of AI on the future of medicine. Fixing Healthcare is a co-production of Dr. Robert Pearl and Jeremy Corr. Subscribe to the show via Apple, Spotify, Stitcher or wherever you find podcasts. Join the conversation or suggest a guest by following the show on Twitter and LinkedIn The post MTT #103: Can generative AI safely prescribe medicine on its own? appeared first on Fixing Healthcare.

In this week's episode of Medicine: The Truth, hosts Jeremy Corr and Dr. Robert Pearl examine a sweeping set of developments shaping American healthcare. From the first state-approved use of ... The post MTT #103: Can generative AI safely prescribe medicine on its own? appeared first on Fixing Healthcare.

Businesses are increasingly considering the use of generative AI for work that historically relied on human creativity, including in the area of marketing and advertising. But can ads made with gen AI really be more effective than human-created ads? Professor Vilma Todri of Emory University Goizueta Business School joins Kathleen Hu and Jaclyn Phillips to discuss her recent research on the impact of visual generative AI on advertising effectiveness. Listen to this episode to learn more about how gen AI is being used in advertising and the implications for ad effectiveness and AI disclosure policies. With special guest: Vilma Todri, Associate Professor, Goizueta Business School of Emory University Related Links: The Impact of Visual Generative AI on Advertising Effectiveness Hosted by: Kathleen Hu, Cornerstone Research and Jaclyn Phillips, Proskauer Rose

Send us a textAI is everywhere—and opinions about it are strong, especially within the Christian community. In this episode, Alyssa Avant breaks down what AI actually is (and isn't) and explains the key differences between generative and agentic AI in simple, practical terms. This conversation isn't about convincing you to use AI—it's about gaining understanding so you can make wise, prayerful decisions as a Christian business owner. Rooted in Proverbs 4:7, this episode will help you replace confusion and fear with clarity, discernment, and faithful stewardship.

On this episode, we have David Timm with us to discuss the misuse of Generative AI (GenAI) in reporting a protest. David, a bid protest attorney, walks us through how GenAI is impacting and changing the protest process, what issues arise when companies use GenAI and things to consider when using GenAI for a bid protest. Do not miss this conversation. To connect with David, find him on LinkedIn

Resetting the culture code is essential to unlock Gen AI's value — aligning people, ethics, and collaboration so AI becomes a trusted partner for innovation, not a source of fear or disruption. That's the key take-away message of this episode of the Wise Decision Maker Show, which discusses resetting the culture code for the generative AI era.This article forms the basis for this episode: https://disasteravoidanceexperts.com/resetting-the-culture-code-for-the-generative-ai-era/

00:00 Opening01:04 You can't put The Faith on the screen & do it well04:23 Stop debating if Jesus was an undocumented immigrant or refugee07:54 Don't use Christian images as a foil for ideological vision10:42 I care if the vulnerable meet God, which means I have to feed them18:40 Silencing the monstrous is the only righteous anger22:33 Response videos & click bait breed arrogance & division27:43 Our utopian vision tends to not include ourselves changing31:38 It is too easy to convince ourselves our sin does not matter34:08 Your anger is probably self righteous, which means it is sinful38:27 The lesson of Ebineezer Scrooge is "fear not!"40:44 God wants to look at us & have us look at Him the way husband & wife look at each other42:25 It is hard to be angry at other people if we know we're an idiot46:26 The utopian vision eliminates the possibility of forgiveness50:49 Dungeons & Dragons plane of Nirvana teaches us how scary utopia would actually be if we tried to live in it53:34 Closing~~~It Will All Fail - S7E19~~~We are nearing the end of season seven & Fr Symeon didn't want to miss the opportunity to talk about how the two dominant ideologies in our culture both rely on what we could call an unconstrained vision of humanity - the dream of The Enlightenment still alive.In this third part of three, we delve into a bit more pop culture references than is typical for us as we continue to try to drive home the idea the pursuit of utopia brings dystopia & the problem is human delusion. We must focus on dispelling delusion, not problem solving & system building.~~~Scripture citations for this episode:Matthew 21:12-17, Mark 11:15-19, Luke 19:45-48, John 2:13-17 - Cleansing of the templeMark 5: 1-20 - Gerasene DemoniacThe Christian Saints Podcast is a joint production of Generative sounds & Paradosis Pavilion. Our hosts are Father Symeon Kees of Iowa City & James John Marks of Chicago.Paradosis Pavilion - https://youtube.com/@paradosispavilion9555https://www.instagram.com/christiansaintspodcasthttps://x.com/podcast_saintshttps://www.facebook.com/christiansaintspodcasthttps://www.threads.net/@christiansaintspodcasthttps://bsky.app/profile/xtiansaintspodcast.bsky.socialIconographic images used by kind permission of Nicholas Papas, who controls distribution rights of these imagesPrints of all of Nick's work can be found at Saint Demetrius Press - http://www.saintdemetriuspress.comAll music in these episodes is a production of Generative Soundshttps://generativesoundsjjm.bandcamp.comDistribution rights of this episode & all music contained in it are controlled by Generative SoundsCopyright 2021 - 2026

Generative Artificial Intelligence is rapidly emerging as one of the most debated forces in education today. Tools such as ChatGPT and Claude are widely predicted to reshape how students learn and how teachers teach. Advocates argue that GenAI could democratise access to high quality education, offering personalised learning at scale while reducing administrative burdens for educators. Critics warn of significant risks, from undermining student learning to eroding teacher autonomy. In this episode of Top Class, we explore the latest emerging evidence shared in the OECD's Digital Education Outlook 2026. Senior OECD Analyst Stéphan Vincent Lancrin speaks to OECD Editor Duncan Crawford about the latest research, the potential and the risks of GenAI, and what this means for the future of teaching and learning.

The China Internet Network Information Center noted the broader adoption of generative AI technology across consumer and industrial sectors, with user numbers exceeding 600 million.

In this episode, Wesley Hartman, co‑author of the Journal of Accountancy's Technology Q&A column, discusses how AI is reshaping work for accounting firms. He explains the difference between generative and agentic AI and why both matter for firm workflows. Hartman also outlines the most pressing AI risks for CPAs, including hallucinations and emerging deepfake‑driven scams, which he wrote about in the February Tech Q&A. He closes the conversation with practical guidance for adopting AI tools methodically while avoiding common pitfalls. Also, here are a few Technology Q&A columns related to the discussion: "How CPAs Can Combat the Rising Threat of Deepfake Fraud," May 1, 2025 "AI-Powered Hacking in Accounting: 'No One Is Safe'," Oct. 1, 2025 "Creating an AI Agent in ChatGPT," Nov. 1, 2025 What you'll learn from this episode: The ways Hartman uses AI in his own work. The difference between agentic and generative AI. Why "confidently wrong" AI responses can present risks for firms. How inaction or "wait‑and‑see" thinking can create its own form of AI risk.

-The searches are part of an investigation that has been ongoing for nearly a year over the functioning of X's algorithms that are “likely to have distorted the operation of an automated data processing system,” investigators said at the time. -On February 24, or possibly earlier, Mozilla will roll out Firefox 148, which will include an AI controls section in the desktop browser settings. From here, you'll be able to block current and future generative AI features, or only enable select tools. -Developer Lyra Rebane created Xikipedia, a social media-style feed of Wikipedia entries. The web app algorithmically displays info from Simple Wikipedia Learn more about your ad choices. Visit podcastchoices.com/adchoices

Third-party sites capture traffic by explaining what brands actually do. John Vantine, Director of SEO at GoodRx, has built cross-functional generative search frameworks over seven years that power discovery across Google and ChatGPT. He reveals how About Us and FAQ pages become critical ranking assets when they proactively address common brand misconceptions in plain language. Vantine demonstrates how predictive search volume around questions like "how does [brand] make money" signals untapped content opportunities that competitors exploit when brands fail to clearly explain their value proposition.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Ricardo explains the difference between Generative AI, AI Agents, and Agentic AI—topics that are widely discussed but often misunderstood. He draws on a clear explanation by Filipa Peleja, presented during the O'Reilly Super Stream on Generative AI. Generative AI, based on large language models, responds to prompts and produces text, ideas, and analysis, but it has no initiative, goals, or independent decision-making. AI Agents, on the other hand, are given a goal and can plan tasks, use tools, interact with systems, and execute actions in sequence, with operational autonomy within defined rules. Finally, Agentic AI involves systems of agents working together, with memory, adaptability, and evolving strategies, raising major challenges around governance, ethics, and accountability. Catch the full episode to learn more!

When Oscar-winning filmmaker Guillermo del Toro was a kid growing up in Guadalajara, Mexico, he would draw monsters all day. His deeply Catholic grandmother even had him exorcised because of it. But when del Toro saw the 1931 film ‘Frankenstein,' his life changed. "I realized I understood my faith or my dogmas better through Frankenstein than through Sunday mass." His adaptation of Mary Shelley's classic book is nominated for nine Academy Awards, including Best Picture. Del Toro spoke with Terry Gross about getting over his fear of death, the design of Frankenstein's creature, and his opinion on generative AI.Also, John Powers reviews the noirish drama ‘Islands.' Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

In 2025, what were university leaders looking to learn about with Gen AI? On today's episode, I'll mention the top 5 requests for my webinars and workshops on Gen AI. 

A lecture given at L'Abri Fellowship in Southborough, Massachusetts. For more information, visit https://southboroughlabri.org/ by Ben Keyes Artificial intelligence is in the news every day in part because it is such a controversial topic. As usual, the loudest voices are at the extremes: "AI is going to usher humanity into a beautiful new era of human history!" or "AI is going to kill us all!" In this lecture, we will limit our reflections to the role that generative AI is playing in the creative arts. Is the use of AI by artists a good thing, something that will aid and enhance human creativity? Or is it in danger of replacing one of the building blocks of our humanness: our creativity? The Copyright for all material on the podcast is held by L'Abri Fellowship. We ask that you respect this by not publishing the material in full or in part in any format or post it on a website without seeking prior permission from L'Abri Fellowship. ©Southborough L'Abri 2026

People around the world are using AI more than Americans, a new poll finds. About 40% of adults in the U.S. told pollsters that they used generative AI in the last year. In Nigeria, the United Arab Emirates, and India, that number was about 85%. What's driving the divide? But first: a preview of markets before President Donald Trump's speech at Davos, and a look at the struggle between the Trump administration and the Fed.

People around the world are using AI more than Americans, a new poll finds. About 40% of adults in the U.S. told pollsters that they used generative AI in the last year. In Nigeria, the United Arab Emirates, and India, that number was about 85%. What's driving the divide? But first: a preview of markets before President Donald Trump's speech at Davos, and a look at the struggle between the Trump administration and the Fed.