Podcasts about Generative

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 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/

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.

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

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

Starting with Firefox 148 arriving later this month, users will find a new AI controls section within the desktop browser settings. Also, Ring's Search Party feature for finding lost dogs is now available across the U.S. — even if you don't own a Ring camera. 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!

Neste episódio, Ricardo esclarece a diferença entre IA Generativa, Agentes de IA e IA Agêntica, um tema muito falado, mas ainda confuso. Ele se inspira em uma explicação de Filipa Peleja, apresentada no O'Reilly Super Stream sobre IA Generativa. A IA Generativa, baseada em modelos de linguagem, responde a prompts e produz textos, ideias e análises, mas não tem iniciativa, objetivos ou tomada de decisão própria. Já os Agentes de IA recebem um objetivo e conseguem planejar tarefas, usar ferramentas, interagir com sistemas e executar ações em sequência, com autonomia operacional dentro de regras definidas. Por fim, a IA Agêntica envolve sistemas de agentes que cooperam, possuem memória, se adaptam e ajustam estratégias, trazendo desafios de governança, ética e responsabilidade. Ouça o episódio e confira todos os detalhes!

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. 

The State of Generative AI in the Enterprise 2025In this episode of The Metrics Brothers, Ray Rike and Dave Kellogg break down the 2025 State of Generative AI in the Enterprise report from Menlo Ventures and explain what the data really says about where enterprise AI adoption is accelerating and where the market is consolidating.The headline takeaway: AI software is scaling faster than any software category in history. Enterprise AI spend has exploded from roughly $1.7B in 2023 to nearly $37B in 2025, reaching scale in just three years. This revenue milestone took SaaS more than 15 years to achieve. Foundational models now represent the single largest area of spend, highlighting how infrastructure and model access remain core to enterprise AI strategies.Ray and Dave also explore a major strategic shift inside the enterprise: buy is decisively beating build. In 2025, 76% of enterprise AI solutions are purchased rather than built internally, up sharply from 53% the year prior. Rapid model evolution, ongoing retraining costs, and model drift are making internal AI development far more expensive to maintain than many teams originally expected.One of the most surprising findings is on go-to-market efficiency. AI software pilots convert to production at nearly twice the rate of traditional software, with roughly 47% of AI pilots reaching production versus about 25% for conventional enterprise software. This runs counter to recent narratives suggesting enterprise AI pilots are stalling and points to clearer ROI and faster time-to-value.The episode also dives into what Menlo calls the first true “AI killer app”: AI-assisted coding. Coding tools now account for more than half of departmental AI spend, with over 50% of developers already using AI coding assistants and adoption exceeding 65% among top-quartile teams. Real-world examples show meaningful productivity gains, including double-digit increases in development velocity and significant time savings during legacy system upgrades.Industry-wise, healthcare emerges as the largest buyer of vertical AI, representing 43% of vertical AI spend. This is notable given healthcare's historically lower IT spend as a percentage of revenue. Much of the value is coming from administrative automation such as medical scribing, where AI directly reduces non-clinical workload and unlocks meaningful productivity gains for care providers.Finally, Ray and Dave examine the shifting competitive landscape among foundation model providers. Anthropic has surged to roughly 40% share of enterprise AI usage, up dramatically from prior years, while OpenAI's share has declined as Google continues to gain traction. The discussion centers on focus versus breadth and why enterprise positioning and reliability may matter more than consumer mindshare.Key takeaways from the episode:AI software is the fastest-scaling software category everEnterprises are rapidly moving from build to buyAI pilots convert to production at nearly 2x traditional softwareAI coding is emerging as the first true enterprise AI killer appAnthropic's enterprise focus is translating into meaningful market share gainsIf you care about how AI adoption actually translates into spend, productivity, and competitive advantage inside large organizations, this episode is a must-listen.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Learning to teach better with Dr. Drew Nucci, researcher at WestEd. He shares about his experiences with teaching mathematics, and his research findings from interviewing mathematics & science teachers about how they are thinking about and using generative AI in their practice. Show notes and links: Drew Nucci on LinkedIn Math Ed Podcast episode 2510: Drew Nucci - artificial intelligence and math education The AmplifyGAIN Center Colleague AI Playlab Study: Emerging Patterns of Gen AI Use in K-12 Science and Mathematics Education WestEd: Advancing AI in Education 2026 Annual AMTE Conference sessions with Drew: 068. Building Partnerships to Advance Mathematics Education Research, Policy, and Practice - Catherine Paolucci & Drew Nucci (Feb 6 @ 8:15 am) 214. Transforming Math Instruction with Generative AI: Implications for Math Teachers' Professional Learning - Drew Nucci & Sarah Nielsen (Feb 7 @ 11:30 am) Special Guest: Drew Nucci.

Discover how to leverage the efficiency of generative AI without creating "AI slop" that alienates your audience.In this episode of Content Amplified, Ben Ard sits down with Andy Brooks to discuss the delicate balance between utilizing new technology and maintaining the human connection. While AI offers incredible speed, it often acts as an "affirmation loop" that validates mediocre ideas rather than challenging them. Andy explains why marketers must treat AI as a partner rather than a replacement to ensure their brand narrative remains genuine.Topics discussed in this episode:Why AI should be viewed as a "not terribly bright" but fast marketing coordinator.How to overcome the learning curve of effective prompting vs. just getting an output.Why Gen Z audiences are reacting negatively to AI-generated imagery.The importance of keeping "real" elements (stories, products, and people) untouched by AI.Whether "No AI Used" will become a permanent badge of honor for brands.About the Guest:Andy Brooks is the Director of Marketing and Communications. With a diverse background in radio, television, and software development, Andy has devoted his recent career to mastering the ins and outs of marketing technology. He is the author of two books and teaches courses on creating with Generative AI on Coursera, focusing on helping people increase efficiency without losing authenticity.Connect with Andy on LinkedIn: https://www.linkedin.com/in/aceebro/View Andy's course: https://www.coursera.org/instructor/andrew-brooksText us what you think about this episode!

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

How do you Ai? I asked Christopher Mims about his new book, "How To Ai." He discusses his own job's risk level, how Ai removes what he calls "toil" and how Ai may very well make you and I just a bit more human. As the host of Bold Names and columnist of The Wall Street Journal's "Keywords," he details practical Ai use cases. For tech folks, you'll learn practical stories, for the uninitiated, you'll get caught up.   Buy the book: https://www.amazon.com/How-AI-Through-Basics-Transform/dp/B0F6MKZ1DH Find Justin: justinbradyshow.com Chapters 01:06 - Ai removes toil, not jobs 07:00 - Job disruption or new opportunities 09:23 - Clorox uses Ai for previously impossible tasks 10:56 - Generative vs non-generative AI 12:49 - Is the construction industry at Ai risk? 14:57 - The urgency of adopting Ai 17:17 - Ai and law. A win for lawyers and consumers.  24:40 - Ai in Hollywood. Will it kill creativity? 28:40 - Tension of job loss and productivity gains 30:40 - Ai makes us more human 31:22 - Journalism in an AI World

AI is hitting entertainment like a sledgehammer ... from algorithmic gatekeepers and AI-written scripts to digital actors and entire movies generated from a prompt.In this episode of TechFirst, host John Koetsier sits down with Larry Namer, founder of E! Entertainment Television and chairman of the World Film Institute, to unpack what AI really means for Hollywood, creators, and the global media economy.Larry explains why AI is best understood as a productivity amplifier rather than a creativity killer, collapsing months of work into hours while freeing creators to focus on what only humans can do. He shares how AI is lowering barriers to entry, enabling underserved niches, and accelerating new formats like vertical drama, interactive storytelling, and global-first content.The conversation also dives into:• Why AI-generated actors still lack true human empathy• How studios and IP owners will be forced to license their content to AI companies• The future of deepfakes, guardrails, and regulation• Why market fragmentation isn't a threat — it's an opportunity• How China, Korea, and global platforms are shaping what comes next • Why writers and storytellers may be entering their best era yetLarry brings decades of perspective from every major media transition — cable, streaming, global expansion — and makes the case that AI is just the next tool in a long line of transformative technologies.If you care about the future of movies, television, creators, and culture, this is a conversation you don't want to miss.⸻

In this episode, host Etienne Nichols sits down with Ashkon Rasooli, founder of Ingenious Solutions and a specialist in Software as a Medical Device (SaMD). The conversation previews their upcoming session at MD&M West, focusing on the critical intersection of generative AI (GenAI) and quality assurance. While many AI applications exist in MedTech, GenAI presents unique challenges because it creates new data—text, code, or images—rather than simply classifying existing information.Ashkon breaks down the specific failure modes unique to generative models, most notably "hallucinations." He explains how these outputs can appear legitimate while being factually incorrect, and explores the cascading levels of risk this poses. The discussion moves from simple credibility issues to severe safety concerns when AI-generated data is used in critical clinical decision-making without proper guardrails.The episode concludes with a forward-looking perspective on how validation is shifting. Ashkon argues that because GenAI behavior is statistical rather than deterministic, traditional pre-market validation is no longer sufficient. Instead, a robust quality framework must include continuous post-market surveillance and real-time independent monitoring to ensure device safety and effectiveness over time.Key Timestamps01:45 - Introduction to MD&M West and the "AI Guy for SaMD," Ashkon Rasooli.04:12 - Defining Generative AI: How it differs from traditional machine learning and image recognition.06:30 - Hallucinations: Exploring failure modes where AI creates plausible but false data.08:50 - The Autonomy Scale: Applying standard 34971 to determine the level of human supervision required.12:15 - Regulatory Gaps: Why no generative AI medical devices have been cleared by the FDA yet.15:40 - Safety by Design: Using "independent verification agents" to monitor AI outputs in real-time.19:00 - The Shift to Post-Market Validation: Why 90% validation at launch requires 10% continuous monitoring.22:15 - Comparing AI to Laboratory Developed Tests (LDTs) and the role of the expert user.Quotes"Hallucinations are just a very familiar form of failure modes... where the product creates sample data that doesn't actually align with reality." - Ashkon Rasooli"Your validation plan isn't just going to be a number of activities you do that gate release to market; it is actually going to be those plus a number of activities you do after market release." - Ashkon RasooliTakeawaysRight-Size Autonomy: Match the AI's level of independence to the risk of the application. High-risk diagnostic tools should have lower autonomy (Level 1-2), while administrative tools can operate more freely.Implement Redundancy: Use a "two is one" approach by employing an independent AI verification agent to check the primary model's output against safety guidelines before it reaches the user.

Join us as Gautam breaks down the evolution of tool use in generative AI and dives deep into MCP. Gautam walks through the progression from simple prompt engineering to function calling, structured outputs, and now MCP—explaining why MCP matters and how it's changing the way AI systems interact with external tools and data. You'll learn about the differences between MCP and traditional API integrations, how to build your first MCP server, best practices for implementation, and where the ecosystem is heading. Whether you're building AI-powered applications, integrating AI into your infrastructure workflows, or just trying to keep up with the latest developments, this episode provides the practical knowledge you need. Gautam also shares real-world examples and discusses the competitive landscape between various AI workflow approaches. Subscribe to vBrownBag for weekly tech education covering AI, cloud, DevOps, and more! ⸻ Timestamps 0:00 Introduction & Welcome 7:28 Gautam's Background & Journey to AI Product Management 12:45 The Evolution of Tool Use in AI 18:32 What is Model Context Protocol (MCP)? 24:16 MCP vs Traditional API Integrations 30:41 Building Your First MCP Server 36:52 MCP Server Discovery & Architecture 42:18 Real-World Use Cases & Examples 47:35 Best Practices & Implementation Tips 51:12 The Competitive Landscape: Skills, Extensions, & More 52:14 Q&A: AI Agents & Infrastructure Predictions 55:09 Closing & Giveaway How to find Gautam: https://gautambaghel.com/ https://www.linkedin.com/in/gautambaghel/ Links from the show: https://www.hashicorp.com/en/blog/build-secure-ai-driven-workflows-with-new-terraform-and-vault-mcp-servers Presentation from HashiConf: https://youtu.be/eamE18_WrW0?si=9AJ9HUBOy7-HlQOK Kiro Powers: https://www.hashicorp.com/en/blog/hashicorp-is-a-kiro-powers-launch-partner Slides: https://docs.google.com/presentation/d/11dZZUO2w7ObjwYtf1At4WnL-ZPW1QyaWnNjzSQKQEe0/edit?usp=sharing

Artificial Intelligence has become much more than a buzzword. It's transforming industries as it rapidly evolves, and the big question for CRNAs is what does this mean for anesthesia providers? Sharon and guest co-host Larry Sears, CRNA sit down with CRNA educator and technology thought leader Richard Wilson, DNPA, CRNA, FAANA to explore how AI is quietly reshaping perioperative care, education, and decision-making in the operating room. Here's some of what you'll hear in this episode:

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.

Synopsis:  Together, Laura and Donna consider expansive questions: how do we understand ourselves in an age of artificial intelligence? And how do we resist the pull of authoritarian “mono-thought” — the demand for certainty, sameness, and simple answers in a complex world? This show is made possible by you! To become a sustaining member go to LauraFlanders.org/donateDescription: “Thinking requires action and passion,” says feminist philosopher and scholar, Donna Haraway in this unique conversation. In her 1985 essay “A Cyborg Manifesto” and 2003 work, “The Companion Species Manifesto”, Haraway challenged patriarchal, capitalist, binary, species-ist ways of looking at the world. It's no surprise that people are looking to her work again now. Generative thinking, she tells Laura, requires “taking the risk to try a new pattern; to invent something that may very well fall apart in your collective hands but leaves threads to be picked up again.” In this episode, Haraway and Flanders sit down for an expansive conversation about what it means to be human in an age of AI and resisting what she calls authoritarian “mono-thought.” Plus, a commentary from Laura on staying in the present and “staying with the trouble.”“An individual is embedded deeply in worlds with other people, with other organisms, with living and non-living parts of the world. To be a self is to come to a thicker appreciation and accountability for the way we're embedded in the world and act in the world. That's what I mean by being a proper self.” - Donna HarawayGuest:  Donna Haraway, Distinguished Professor Emerita, University of California Santa Cruz, History of Consciousness Department; Author, A Cyborg Manifesto, When Species Meet, Staying with the Trouble: Making Kin in the ChthuluceneWatch the episode released on YouTube; PBS World Channel 11:30am ET Sundays and on over 300 public stations across the country (check your listings, or search here via zipcode). Listen: Episode cut airing on community radio (check here to see if your station airs the show) & available as a podcast January 21st, 2026.Full Episode Notes are located HERE.Music Credit: Opolopo's 'No More Lies remix' of “We Rise” by Groove Junkies, Opolopo and Solara courtesy of More House Music;  'Steppin' by Podington Bear, and original sound design by Jeannie Hopper'Additional Credits:  Audio Clip- Donna Haraway lecturing at the Next Nature Museum for Friday Next, organized in collaboration with the Premium Erasmium Foundation, and recorded by Emily Cohen IbañezSupport Laura Flanders and Friends by becoming a member at https://www.patreon.com/c/lauraflandersandfriendsRESOURCES:*Recommended book:“The Companion Species Manifesto: Dogs, People, and Significant Otherness” by Donna Haraway: *Get the book(*Bookshop is an online bookstore with a mission to financially support local, independent bookstores. The LF Show is an affiliate of bookshop.org and will receive a small commission if you click through and make a purchase.)Related Laura Flanders Show Episodes:•  Pride Pioneers Holly Hughes & Esther Newton: How Queer Kinship Ties Help Us Survive: Watch / Listen:  Episode Cut•  Survival Guide for Humans Learned from Marine Mammals with Alexis Pauline Gumbs:  Watch / Listen:  Episode Cut and Full Uncut Conversation•  “Powerlands”: Indigenous Youth Fight Big Oil & Gas Worldwide:  Watch / Listen:  Episode Cut and Full Uncut Conversation Related Articles and Resources:•  Donna Haraway:  Story Telling for Earthly Survival by Fabrizo Terranova - Watch•  Making Oddkin:  Story Telling for Earthly Survival lecture at Yale - Watch•  You Are Cyborg by Hair Kunzru, February 1, 1997, WIRED•  Donna Haraway, Erasmus laureate 2025 at the Next Nature Museum, November 21, 2025, by Next Nature•  Rethinking Humanity with Donna Haraway:  A Cyborg Manifesto for the AI Age, August 18, 2025, Philosopheasy Laura Flanders and Friends Crew: Laura Flanders-Executive Producer, Writer; Sabrina Artel-Supervising Producer; Jeremiah Cothren-Senior Producer; Veronica Delgado-Video Editor, Janet Hernandez-Communications Director; Jeannie Hopper-Audio Director, Podcast & Radio Producer, Audio Editor, Sound Design, Narrator; Sarah Miller-Development Director, Nat Needham-Editor, Graphic Design emeritus; David Neuman-Senior Video Editor, and Rory O'Conner-Senior Consulting Producer. FOLLOW Laura Flanders and FriendsInstagram: https://www.instagram.com/lauraflandersandfriends/Blueky: https://bsky.app/profile/lfandfriends.bsky.socialFacebook: https://www.facebook.com/LauraFlandersAndFriends/Tiktok: https://www.tiktok.com/@lauraflandersandfriendsYouTube: https://www.youtube.com/channel/UCFLRxVeYcB1H7DbuYZQG-lgLinkedin: https://www.linkedin.com/company/lauraflandersandfriendsPatreon: https://www.patreon.com/lauraflandersandfriendsACCESSIBILITY - The broadcast edition of this episode is available with closed captioned by clicking here for our YouTube Channel

As generative AI reshapes search, newswires are no longer simply distribution tools; they are authority signals. In this episode, Sarah Larson joins Jennifer Simpson Carr to discuss how trusted, high-domain sources influence generative engine results, why consistent presence matters more than clicks, and how law firms can future-proof visibility by feeding machines the right information.

Synopsis:  A leading voice in feminist philosophy, Donna Haraway joins Laura for an incisive discussion on challenging patriarchal norms and cultivating a more inclusive understanding of humanity, one that prioritizes accountability and empathy in an increasingly complex world.This show is made possible by you! To become a sustaining member go to LauraFlanders.org/donateDescription: “Thinking requires action and passion,” says feminist philosopher and scholar, Donna Haraway in this unique conversation. In her 1985 essay “A Cyborg Manifesto” and 2003 work, “The Companion Species Manifesto”, Haraway challenged patriarchal, capitalist, binary, species-ist ways of looking at the world. It's no surprise that people are looking to her work again now. Generative thinking, she tells Laura, requires “taking the risk to try a new pattern; to invent something that may very well fall apart in your collective hands but leaves threads to be picked up again.” In this episode, Haraway and Flanders sit down for an expansive conversation about what it means to be human in an age of AI and resisting what she calls authoritarian “mono-thought.” Plus, a commentary from Laura on staying in the present and “staying with the trouble.”“An individual is embedded deeply in worlds with other people, with other organisms, with living and non-living parts of the world. To be a self is to come to a thicker appreciation and accountability for the way we're embedded in the world and act in the world. That's what I mean by being a proper self.” - Donna HarawayGuest:  Donna Haraway, Distinguished Professor Emerita, University of California Santa Cruz, History of Consciousness Department; Author, A Cyborg Manifesto, When Species Meet, Staying with the Trouble: Making Kin in the ChthuluceneWatch the episode released on YouTube; PBS World Channel 11:30am ET Sundays and on over 300 public stations across the country (check your listings, or search here via zipcode). Listen: Episode airing on community radio (check here to see if your station airs the show) & available as a podcast January 21st, 2026.Full Episode Notes are located HERE.Full Conversation Release: While our weekly shows are edited to time for broadcast on Public TV and community radio, we offer to our members and podcast subscribers the full uncut conversation. Music Credit:  'Thrum of Soil' by Bluedot Sessions, 'Steppin' by Podington Bear, and original sound design by Jeannie HopperSupport Laura Flanders and Friends by becoming a member at https://www.patreon.com/c/lauraflandersandfriendsRESOURCES:*Recommended book:“The Companion Species Manifesto: Dogs, People, and Significant Otherness” by Donna Haraway: *Get the book(*Bookshop is an online bookstore with a mission to financially support local, independent bookstores. The LF Show is an affiliate of bookshop.org and will receive a small commission if you click through and make a purchase.)Related Laura Flanders Show Episodes:•  Pride Pioneers Holly Hughes & Esther Newton: How Queer Kinship Ties Help Us Survive: Watch / Listen:  Episode Cut•  Survival Guide for Humans Learned from Marine Mammals with Alexis Pauline Gumbs:  Watch / Listen:  Episode Cut and Full Uncut Conversation•  “Powerlands”: Indigenous Youth Fight Big Oil & Gas Worldwide:  Watch / Listen:  Episode Cut and Full Uncut Conversation Related Articles and Resources:•  Donna Haraway:  Story Telling for Earthly Survival by Fabrizo Terranova - Watch•  Making Oddkin:  Story Telling for Earthly Survival lecture at Yale - Watch•  You Are Cyborg by Hair Kunzru, February 1, 1997, WIRED•  Donna Haraway, Erasmus laureate 2025 at the Next Nature Museum, November 21, 2025, by Next Nature•  Rethinking Humanity with Donna Haraway:  A Cyborg Manifesto for the AI Age, August 18, 2025, Philosopheasy   Laura Flanders and Friends Crew: Laura Flanders-Executive Producer, Writer; Sabrina Artel-Supervising Producer; Jeremiah Cothren-Senior Producer; Veronica Delgado-Video Editor, Janet Hernandez-Communications Director; Jeannie Hopper-Audio Director, Podcast & Radio Producer, Audio Editor, Sound Design, Narrator; Sarah Miller-Development Director, Nat Needham-Editor, Graphic Design emeritus; David Neuman-Senior Video Editor, and Rory O'Conner-Senior Consulting Producer. FOLLOW Laura Flanders and FriendsInstagram: https://www.instagram.com/lauraflandersandfriends/Blueky: https://bsky.app/profile/lfandfriends.bsky.socialFacebook: https://www.facebook.com/LauraFlandersAndFriends/Tiktok: https://www.tiktok.com/@lauraflandersandfriendsYouTube: https://www.youtube.com/channel/UCFLRxVeYcB1H7DbuYZQG-lgLinkedin: https://www.linkedin.com/company/lauraflandersandfriendsPatreon: https://www.patreon.com/lauraflandersandfriendsACCESSIBILITY - The broadcast edition of this episode is available with closed captioned by clicking here for our YouTube Channel

Have you ever felt overwhelmed by AI? Like…. There's certain aspects of Artificial intelligence that you barely understand to begin with, yet you're expected to use it AND it's changing every day? I understand where you're coming from. It's literally my only job to use, build with and teach AI every day and that's all I've done now for 3 years, and even I find it hard to keep up. But don't worry. That's where the ‘Start Here Series' comes into play. If one of your focuses is better understanding AI in 2026 or if you're an expert looking to double down, this Start Here Series is for you. In our first volume, we're going back to the basics. Generative AI: How it works and why it matters in 2026 more than ever -- An Everyday AI Chat. with Jordan Wilson.Other Start Here Series EpisodesEp 691: Generative AI: How it works and why it matters in 2026 more than ever (Start Here Series Vol 1)(In the future, we'll update with other 'Start Here Series' episodes)Start Here Series Community Sign up: Follow the Start Here Series with free access to our Inner Circle CommunityMore on this Episode: Episode PageJoin the discussion 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:Generative AI Basics and 2026 ImpactExplosive Growth of Large Language ModelsAI Adoption Rates in EnterprisesAI Agents and Operating Systems OverviewHistory and Evolution of Artificial IntelligenceTransformer Architecture and Model BreakthroughsHow Large Language Models WorkModern AI Capabilities: Multimodal ToolsQuantifying ROI for Generative AI InvestmentWorkforce Disruption and Future Job TrendsScaling AI: From Pilot to Enterprise-WideUrgency for AI Upskilling and Competitive AdvantageTimestamps:00:00 "Start Here: AI Guide Series"04:10 "Join Our Free Community"09:17 "AI Operating Systems for Businesses"11:05 "Partner with Everyday AI"13:00 "AI Evolution Over Decades"16:34 "ChatGPT's Transformative Impact"22:17 "Generative AI and Memory Evolution"26:03 "AI Delivers Exponential ROI"29:59 "AI Demand Surges, Hiring Drops"32:15 "AI Transforming CRMs Rapidly"35:01 "AISend 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 

The 2024 presidential race was the first big election to happen in the new generative AI era. There have, of course, been major concerns that the technology could be used to deceive voters or interfere with the exercise of democracy. But so far, that kind of activity has been limited, according to Tim Harper, a senior policy analyst and coauthor of a recent report from the Center for Democracy and Technology.