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Andriy Kusyy is a Ukrainian machine-learning specialist and the CEO/co-founder of LetsData, a company built around detecting coordinated information operations. Before founding LetsData with Ksenia Iliuk in 2022, he led a machine-learning platform team at Grammarly. His perspective is therefore somewhat different from that of a traditional disinformation researcher: he approaches propaganda as an adversarial system that can be detected through data, networks, timing and anomalous behaviour, rather than primarily through fact-checking individual claims.----------LetsData gives organizations an earlier detection point for emerging threats. Its narrative intelligence platform, Vantage, identifies the behavioral signals behind narrative threats — impersonation, synthetic amplification, manufactured narratives — before they produce the infrastructure, IOCs, and downstream damage that conventional tools are built to find.----------LINKS:https://www.linkedin.com/in/andriy-kusyy/https://www.linkedin.com/in/ksenia-iliuk/https://letsdata.net/https://datainnovation.org/2025/10/5-qs-with-ksenia-iluik-co-founder-of-letsdata/----------SUPPORT THE CHANNEL:https://www.buymeacoffee.com/siliconcurtainhttps://www.patreon.com/siliconcurtainhttps://www.gofundme.com/f/scaling-up-campaign-to-fight-authoritarian-disinformation----------TRUSTED CHARITIES ON THE GROUND:Car4Ukrainehttps://car4ukraine.com/en-US/campaignsDzyga's Pawhttps://dzygaspaw.com/projectsSuperhumans - Hospital for war traumashttps://superhumans.com/en/UNBROKEN - Treatment. Prosthesis. Rehabilitation for Ukrainians in Ukrainehttps://unbroken.org.ua/Come Back Alivehttps://savelife.in.ua/en/Chefs For Ukraine - World Central Kitchenhttps://wck.org/relief/activation-chefs-for-ukraineUNITED24 - An initiative of President Zelenskyyhttps://u24.gov.ua/Serhiy Prytula Charity Foundationhttps://prytulafoundation.orgNGO “Herojam Slava”https://heroiamslava.org/----------PLATFORMS:Substack: https://substack.com/@siliconcurtainTwitter: https://twitter.com/CurtainSiliconLinkedin: https://www.linkedin.com/in/finkjonathan/Podcast: https://open.spotify.com/show/4thRZj6NO7y93zG11JMtqm----------
AI is helping us write emails, summarize meetings, build presentations, and even prepare for difficult conversations. But as these tools become part of our day to day, are they slowly weakening one of our most valuable skills?In this episode, we explore where AI enhances communication, and where it can unintentionally create problems like generic messaging, tone mismatches, overconfidence, and less critical thinking. We also discuss why human judgment, relationships, and context remain impossible to automate.Most importantly, you'll learn practical ways to use AI as a communication assistant rather than letting it become your communicator. If you rely on tools like ChatGPT, Copilot, Grammarly, or Claude, this episode will help you communicate with more clarity, authenticity, and impact.
Less, more frequently. Keeping my glorious subscribers up to date on some changes. Click here to view the printable newsletter. More readable than a transcript. Summary 600 blog posts and 250 podcast episodes in. I’m making a change. Production runs 50-60 hours per episode — unsustainable, even though I love every minute. In this trike-ride solo episode, I share what’s pulling my time: co-founding Trust My Own Health (a new startup, weekly one-screen newsletter ), co-leading an endometriosis series with Phee, and playing more baritone sax. The plan going forward: shorter, more frequent Health Hats episodes — 15-minute check-ins instead of long-form deep dives. Recorded live on a trike at 6:30 am, because that’s how I do things. Episode Okay, hello. How you doing? I’m back on my trike. It’s like 65, supposed to be 90 today. Maybe it’s 6:30 in the morning. I’m wearing a long-sleeve shirt just ’cause it’s a little cool, but not too bad. Anyway, good to be out here with you. So let’s see, what am I thinking about? I’m thinking I’m gonna make a change to my podcast. I thought I would take a moment with my most avid longtime followers. Thank you very much. ‘Cause I’ve been overwhelmed by my long-form podcasting. It’s taking 50 to 60 hours to do an episode. It’s just ridiculous. Actually, I enjoy every minute, but it’s too many minutes. And so let me tell you why it’s too many minutes and what my plan is going forward. I’m co-founding a startup, Trust My Own Health. And I will include a link to that ’cause I would love for you all to learn about it and subscribe to yet another Danny thing, a weekly one-screen newsletter. But anyway, this is taking a lot of my time, and I’m really enjoying it. I feel like it’s actually a culmination of my whole career, my whole life in healthcare, and I really wanna put the time in it. We’re in the raising money stage. And I’m actually, for the first time, feeling like we can do this and we’re getting ready to do this, and I wanna put in the time. But I don’t wanna stop doing Health Hats, the podcast, ’cause I love it. So I’m thinking about doing more frequent, like 15-minute things like this, just talking to you about life and health and what’s going on. And then meanwhile, What’s also happening is that I’ve been working with Phee, who is a person. with some very serious endometriosis. And over the past couple of years, my awareness of endometriosis has grown. Phee uses the pronouns they and him. So Phee wants to tell their story, and it’s a great story. I suggested that they co-lead the series about it. We’ve met a few times on Zoom, and we’re in the process of inviting a couple of guests. I see this as a series that will come out when it comes out. But I think I’m gonna– I think we are gonna put it out in half-hour bursts, just to go with the getting used to shorter, more frequent bursts. And actually, I’m spending a lot more time playing music, which I love. So again, it’s squeezing the podcast time, hence the change. I’m delighted to hear what you think of that, and you all have been with me through thick and thin for a lot of years. So this is probably the 600th episode since I started the blog, and we’re at 250 for the podcast. So there you have it. We’ll see you later Please comment and ask questions: at the comment section at the bottom of the show notes on LinkedIn via email YouTube channel DM on Instagram, TikTok to @healthhats Substack Patreon Production Team Kayla Nelson: Web and Social Media Coach, Dissemination, Help Desk Leon van Leeuwen: editing and site management Oscar van Leeuwen: video editing Julia Higgins: Digital marketing therapy Steve Heatherington: Help Desk and podcast production counseling Joey van Leeuwen, Drummer, Composer, and Arranger, provided the music for the intro, outro, proem, and reflection Claude, Perplexity, Auphonic, Descript, Grammarly, DaVinci Resolve, DaVinci AI Art Generator, OpenArt AI Creator Studio Inspired by and Grateful to: Steve Heatherington, Tania Marien, Heidi Frei, Jane Beddall, Matt Neil, Phee Marcial Artificial Intelligence in Podcast Production Health Hats, the Podcast, utilizes AI tools for production tasks such as editing, transcription, and content suggestions. While AI assists with various aspects, including image creation, most AI suggestions are modified. All creative decisions remain my own, with AI sources referenced as usual. Questions are welcome. Creative Commons Licensing CC BY-NC-SA This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-NC-SA includes the following elements: BY: credit must be given to the creator. NC: Only noncommercial uses of the work are permitted. SA: Adaptations must be shared under the same terms. Please let me know. dannyhealthhats@gmail.com Material on this site created by others is theirs, and use follows their guidelines. Disclaimer The views and opinions presented in this podcast and publication are solely my responsibility and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute® (PCORI®), its Board of Governors, or Methodology Committee. Danny van Leeuwen (Health Hats)
If you're using AI to knock out your homework in five seconds so you can go hang out with your friends, this episode is for you. Not to lecture you. To show you what's actually at stake in a few years when you're applying to college and trying to get hired, and why the way you're using AI right now is quietly deciding which side of that transition you land on.Today's guest is Amy Love, a Harvard MBA, former Fortune 500 chief marketing officer, and founder of Discovering AI. She's a nationally recognized speaker who helps parents, students, and schools navigate the age of AI with clarity, confidence, and connection.Amy runs an AI summer camp for teens and the AI Irreplaceable college and career readiness workshops that teach the human and technical skills you'll need to thrive alongside AI, not get replaced by it.In this episode you'll hear why the difference between using AI to answer your homework vs. using it to actually learn is the single biggest decision you're making about your future right now, and the exact mindset shift that will make you stand out to employers instead of getting leapfrogged.Plus:Why teens today have zero experience baseline to know how to use AI responsibly (and why that's not your fault)The parenting shift from "did you get your homework done" to "how did you get your homework done" and what it means for youWhy AI writing tools like Grammarly are quietly changing what an A actually meansThe Socratic method AI prompt that makes AI your personal tutor instead of your homework shortcutFree tools you can start using this week: Khanmigo, Google Gemini Guided Learning, ChatGPTWhy Georgia Tech encourages AI on application essays and Santa Clara bans it (and what that means for you)Why 23% of Harvard MBA grads didn't have a job three months after graduation (and what that tells you)The "gig learning" idea and why it might matter more than your GPAHow to use AI to start a real business (T shirt design, marketing) that gives you a story to tell employersWhy grades and school name are becoming less relevant and what's replacing themThe "create more, consume less" mindset that separates the teens who will thrive from the ones who won'tAmy's one specific AI prompt to start using tonight (spoiler: it's not "give me the answer")Connect with Amys' Discovering AI Social: TikTok: https://www.tiktok.com/@discovering.ai3Instagram: https://www.instagram.com/discoveringai1LinkedIn: https://www.linkedin.com/company/discoveringaiinfo/Connect with LeslieWebsite: leslierosecoaching.comInstagram: https://www.instagram.com/leslierosecoaching/
In this episode, we're joined by Josh Collier, FinOps Lead at Superhuman (formerly Grammarly), to explore what it really costs to run AI at scale and why the rules of the game changed faster than anyone expected.We discuss how AI token costs dropped 80% in two years, why that trend has sharply reversed with frontier models doubling in price, and how Josh rebuilt a single LLM workflow that cost $400k a month down to $80k by rethinking the architecture. He also shares how a cost calculator built in 15 minutes transformed the way his team estimates spend before running experiments, and why research-led optimization is the only kind that works without degrading the product.Along the way, we cover hidden costs most teams miss, the trade-off between Azure reserved capacity and OpenAI Priority Processing, why fixed subscription pricing is broken in an AI-native world, vendor lock-in risk, and what OpenAI's Guaranteed Capacity announcement really signals about where vendor relationships are heading next.Superhuman: https://superhuman.comJosh Collier: https://www.linkedin.com/in/josh-collier-945b7029/Demetrios: https://www.linkedin.com/in/dpbrinkmTimestamps:[00:00] OpenAI Guaranteed Capacity: what's really going on[01:04] Josh's path into AI FinOps[02:48] Token costs: the 80% price drop[04:16] Why costs will only go up[05:06] External LLMs as financial risk[07:16] Why subscription pricing is dead[08:22] The data residency fee nobody notices[09:33] The cost calculator built in 15 minutes[10:24] How it changed dev team speed[13:00] Tracking costs by service and team[15:33] $400k workflow rebuilt for $80k[17:13] Why only research can optimize tokens[20:00] Speculative decoding win[23:11] One bad query, $40k gone[26:00] Why Azure PTU was exhausting[28:59] Shadow traffic load testing[29:07] Priority processing: no brainer[31:10] Guaranteed capacity: lock-in signal?[32:18] The danger of multi-year AI deals[33:28] Vendor-agnostic proxy as exit strategy
The New Author Benchmark: Navigating Market Demand, Ethical AI, and Literary Authority with Wiebke TaschIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Wiebke Tasch, the Founder and CEO of Digital Authors, to examine the shifting economics of book publishing and personal authority in an AI-dominated digital landscape. Wiebke, a leading publishing strategist and book marketing pioneer, details how the initial deluge of unvetted, automated AI manuscripts is triggering widespread audience fatigue, opening a prime market window for genuine, human-driven non-fiction. This conversation provides a comprehensive, data-driven manual for founders, consultants, and industry experts who want to validate their literary concepts through empirical market research, maintain ethical writing standards, and leverage published authorship to dramatically shorten B2B sales cycles.The Modern Publishing Architecture: Market Analysis, Authentic Voice, and Multi-Channel Authority GenerationThe rapid influx of automated AI book generators has flooded self-publishing platforms with generic, formulaic content, causing savvy modern readers and B2B buyers to actively filter out superficial text in search of authentic human expertise. Wiebke Tasch explains that while AI tools can assist with basic structural editing and grammar optimization, using automated text generators to write a complete manuscript severely damages an author's professional brand and erodes buyer trust. True market differentiation is achieved when a founder conducts rigorous upfront data analysis—evaluating real search volume and audience demand before putting pen to paper—to ensure their book fills a proven market gap. By pairing empirical topic validation with a disciplined morning writing habit, experts can translate their authentic lived experience into a high-impact manuscript that commands immediate authority.Positioning a non-fiction book as a strategic business asset requires an intentional shift away from chasing vanity bestseller metrics toward engineering a long-term client acquisition engine. Rather than viewing publication as a single, isolated product launch, successful executives utilize their book as a premium business card that warms up cold prospects, justifies elevated service fees, and validates their core operational frameworks. When a well-crafted book is integrated into backend lead-generation sequences, it handles the heavy lifting of prospect education, turning distant leads into high-intent inbound inquiries. This literary foundation serves as a permanent media asset that continues to yield high-tier speaking engagements, executive consulting contracts, and media coverage long after its initial release.Furthermore, sustaining long-term market dominance demands that authors combine their published works with proactive, high-trust media distribution strategies like targeted podcast guesting. Participating as a guest on relevant, vetted podcasts allows an author to speak directly to target audiences, shortening the trust building process and introducing their book to pre-sold listeners. Rather than relying on generic, mass-pitching outreach tools, published experts must seek out high-alignment shows that match their specific authority level and professional niche. When rigorous market research, authentic storytelling, ethical AI editing, and strategic podcast guesting are synthesized into a single corporate playbook, an enterprise successfully removes customer acquisition friction, builds absolute market credibility, and predictably multiplies its brand equity.About Wiebke TaschWiebke Tasch is the Founder and CEO of Digital Authors, a prominent publishing strategist, and an expert in non-fiction book marketing and authority positioning. Drawing from an extensive background in digital media, author coaching, and market trend analysis, Wiebke specializes in helping founders, executives, and subject matter experts write, publish, and scale impactful books. She is a recognized thought leader focused on helping authors navigate the evolving publishing landscape, avoid AI content traps, and leverage published books to grow their core enterprises.About Digital AuthorsDigital Authors is an elite publishing consulting agency and author advisory firm engineered to help business leaders, consultants, and experts write and publish high-converting non-fiction books. The company specializes in delivering data-driven market validation audits, manuscript structuring frameworks, ethical AI-editing playbooks, and strategic launch marketing systems. Through tailored 30-to-45-minute market analysis sessions and comprehensive publishing support, Digital Authors enables executives to remove writing bottlenecks, build authentic brand authority, and maximize enterprise valuation.Links Mentioned in This EpisodeDigital Authors Official Website: digital-authors.comWiebke Tasch on LinkedIn: linkedin.com/in/wiebke-taschKey Episode HighlightsThe Post-AI Publishing Shift: Why reader fatigue with automated "AI slop" is creating an unprecedented market opportunity for authentic, expert-driven non-fiction.Empirical Market Idea Validation: Utilizing software data audits and keyword analysis to verify reader demand before writing a single manuscript page.Ethical AI Editing Frameworks: Leveraging tools like Grammarly and Claude strictly for structural polishing while preserving authentic human voice.The Book as a B2B Sales Engine: Utilizing published authorship to shorten sales cycles, justify premium service pricing, and convert cold prospects into warm inbound leads.The Morning Writing Ritual: Implementing simple, intention-driven morning writing sessions to eliminate writer's block and build consistent manuscript momentum.ConclusionThe conversation with Wiebke Tasch underscores that building lasting authority through authorship requires an intentional balance of empirical market research, authentic human perspective, and strategic media distribution. By standardizing internal content workflows, validating literary demand before writing, and leveraging published works to fuel ongoing podcast outreach, business leaders can transform their specialized knowledge into a highly structured, self-sustaining brand asset.More from The Thoughtful Entrepreneur
As a nurse with MS, I’m interviewed about AI’s real role in care: pattern recognition, human-in-the-loop skepticism, and the Three T’s and Two C’s framework. Click here to view the printable newsletter. More readable than a transcript. Click here for a verbatim transcript Summary I sit in the guest chair on Practical AI in Healthcare with Steve Labkoff. I walk through my experience feeding my own symptom logs, lab results, and ten years of clinician notes into an AI LLM: a physical therapy referral I needed and hadn’t scheduled, a medication side effect my neurologist later confirmed, and a rating scale buried in my chart that no one had surfaced. I describe the less impressive side: the four-pound box of unsorted paper my primary care practice mailed me and the 296 pages of unsearchable PDFs I got back from another system in fifteen minutes. Along the way, I lay out my framework for judging any digital health tool, the Three T’s and Two C’s: time, trust, talk, control, and connection, and explain why I insist on keeping humans in the loop even though the research on that is more complicated than people assume. This isn’t a pitch for AI in healthcare. It’s a working nurse and patient’s honest field report. What’s your experience been feeding your own health data into an AI LLM? Tell us in the comments. Episode Transcript Proem I usually ask the questions. This time I'm the guest. I met Drs. Steve Labkoff and Leon Rozenblit a couple of years ago at a DCI Network conference. They host Practical AI in Healthcare, a show I've listened to steadily, though it creates more tension for me than any other podcast I keep coming back to. Usually, I jettison podcasts that do that. I stay with this one because I approach AI in healthcare the way I approach best health; I'm an N of one and resist generalizing, while most guests do a fair amount of it. I bristle at most of them, wanting the shades of gray that reflect deep understanding. In four of 33 episodes, the guest has had lived experience: ePatient Dave DeBronkart, Amy Price, Hugo Campos, and me. I invited Steve and Leon to join my virtual Reckoning group, which I've hosted since 2019. We give podcasters warm critiques of selected episodes: the kind of feedback you give when you've made a hundred mistakes yourself, can spot them quickly in someone else's cut, and have endless thoughts about production, audience, dissemination, and life. They took the critique well. When Steve later asked me to come on his show to talk about how I use AI, not the theory but the daily grind, I readily agreed. They let me publish it here unchanged, apart from this Proem and Reflection. I struggled to prepare for this conversation. I wanted to wear all my hats, but had to narrow my focus to two. I chose my lived experience and nurse hats. Underneath it all was the question I keep circling back to. Not a cure. Best health, the most function, and Hello, and welcome to this week’s edition of Practical AI in Healthcare. My name is Dr. Steven Lapcoff, and this week I’m actually on my own because my partner, Dr. Leon Rosenblatt, is actually on spring break with his kids, so I am covering for him and he’ll be back in the next week. This week we have a guest who we met at a conference in Boston a few months ago at the Beth Israel at the DCI network. Steven Labkoff: We have Danny van Leeuwen. Danny is a nurse. He has background in giving actual physical care to patients. He actually runs his own podcast called Health Hats, the Podcast, and he’s been using AI in both his personal life and in his professional life very extensively. Also, Danny has a significant medical condition, and I’ll let him explain that in the course of the discussion because it’s with that lens that we got introduced at our patient-centric AI conference, and that’s why we thought it’d be a good idea to have Danny come and have a chat with us. So welcome to the podcast, Danny. How are you today? Health Hats: I’m good. Thank you. Thanks for having me. I appreciate it. Steven Labkoff: So Danny, as you probably have heard because you’ve helped us with our podcast, and for that I want to say thank you. For those who are listening in, Danny runs actually a group that actually helps folks running podcasts improve their podcasts, and he’s had Leon and I on many times to listen to critiques and feedback, and it’s been very, very helpful. Danny, we often start our podcast with asking for folks’ origin stories, like how did they get their cape and their superhero tights. What did you do to get you to this point in your life? And just tell us the background of what brought you here. Health Hats: Oh, thanks. So I’m a child of Holocaust survivors, and my parents– when I was young, my parents were active in the civil rights and fair housing movement in the ’60s. And when I was 16 and I was thinking about the war in Vietnam and worried about getting drafted, I wanted to learn what I could learn about the draft and how I could protect myself and manage. And I went to a church in downtown Detroit, and I went for a session of draft counseling as, you know, a little precocious at 16, and I found it fascinating, and they found me fascinating, and they encouraged me to become a draft counselor. And so I, uh, I actually took their course and became a draft counselor, and what I learned is that you change systems from the inside, not the outside. And I learned how the sausage was made, and that, uh, really pointed me in a direction. The way I got into nursing is really because I didn’t want to cut my hair I had an opportunity for a job at one point, and I could have read water meters or become an aide at the Detroit Psychiatric Institute. And reading water meters paid more, but I didn’t wanna cut my hair, so I got the job as, as nurse’s aide. And while I was there, they introduced me to the idea of going to nursing school, which was amazing. Steven Labkoff: It was more– You got paid more to read meters, water meters, than you did- Health Hats: Yes. Steven Labkoff: That’s unbelievable. Life gives you some real interesting turns and twists, doesn’t it? Health Hats: It does. And I was really fortunate because my first jobs in nursing were in physical rehabilitation and home care. I just happened to be in a place where the Holyoke Visiting Nurses was dying to hire a guy, and I was a brand-new nurse, and they ended up hiring me. And so my first introduction to nursing was not in acute care. It was in home care, and actually, I was the first male public health nurse in Western Massachusetts in 1976. And really, what I learned there was that most healthcare does not occur in the medical system. It occurs outside the medical system. And so when I ended up getting into medical care, it was always so interesting to me that everybody there thought this is where, you know, health happened, which it doesn’t. So over the 20 years of working as a nurse, I’ve worked in, other than the rehab and home care, I’ve worked in the emergency department, I’ve worked in ICU, I worked in pediatrics, behavioral health. And after about 15, 20 years, I shifted from becoming a student of individual health to a student o- of organizational health. And what I mean by that is I got into performance improvement. I led a couple of electronic health record implementations. I had a couple of gigs in the C-suite. I did some consulting. Now, in 2009, I was diagnosed with multiple sclerosis, and when I was diagnosed, I learned that I had had it for 25 years. And since my father died young, he died at 45 when I was 19 of his second heart attack, and so every time I would have some kind of episode, I would get a cardiac workup. And by the time the cardiac workup was done, you know, the episode was over, and this went on two, three, four times a year for a long time. And there was a pattern there, and nobody was connecting the dots for 25 years. That’s very important to me because the pattern of what was going on was in my records for 25 years, but nobody had synthesized it. Steven Labkoff: Yeah, they may have been biased, right? Because of your family history and having these episodes, you know, as a clinician, you get very biased by family history, and that can actually lead you down roads which may not be correct, and it sounds like that’s precisely what happened with you. Health Hats: So I’ve– I wanna bring in the caregiver role because I have been a caregiver for my grandmother, my mother, and a son in their end-of-life journeys. So I’ve been on many sides of very difficult decisions. As you said, that my shtick is health hats, and I’m health hats because I’m a patient, I’m a caregiver, I’m a nurse, I’m an advocate, I’m an informaticist, I’m a podcast host. I wear a lot of hats. And wearing many hats has gotten me a seat at many tables because they can check off boxes. When it was really different to be bringing patients o-on board, I was an easy choice. Uh, I was at the table for technical expert panels at CMS, at National Academy of Medicine, at AHRQ, National Quality Forum, PCORI, Patient-Centered Outcomes Research Institute. But really, I wasn’t really there in it for the seat itself. My goal was always to open seats for people who weren’t there yet Now let’s build the bridge, since this is a podcast about AI, let’s build that little bit of that bridge. So my first, like, serious experience with– Well, I don’t know about my first. I was involved in something that you probably are familiar with, which was the Blue Button Plus program, and my goal in that, I was there both as a patient and as somebody who was working with people with disabilities. I, I was VP of quality for an organization that supported about 40,000 people with disabilities. And my goal for that couple of years of weekly or every other week, I can’t remember, calls was, uh, to add a f- a caregiver field to the data set, and to also introduce the idea that what people needed was information that would be able to say what works for me when I’m in pain and what works for me when I’m afraid, which was an issue for me, and it was an issue for the organization that I was working with at the time. Now, I have to say that the caregiver field got added, so I felt some success in that. But as a nurse leader in the informatics group I was part of, really they were only interested in putting a name in the field, not doing anything with that information, which I- Just collecting, so just collecting the data. Steven Labkoff: They didn’t care what the data was used for? Is that what you’re saying? Health Hats: Correct. Yeah. And I couldn’t– got no traction on the pain and fear, which now that I’m older, I understand why, how difficult that is. Nevertheless, it’s something that’s important to patients and caregivers. So I think I would close this section with that I am both an early adopter of technology and a rapid skeptic, that I’m kinda making this number up, but I’ve probably tried over 100 health apps, and I would say that I’ve used five more than three times. And so I think there’s a gap between what’s promised with digital technology and what’s useful for people. So that’s really why I’m here and what’s guiding for me in this. Steven Labkoff: So let’s take it to the next step. In our prequel, I didn’t even know about your personal background to that degree. Mm-hmm. We can take that one offline later about the Holocaust survivor issues. We, we have family, I have family in that same situation, frankly. Let’s change gears and talk about the challenges that you’ve seen. You opened the door a little bit on that a few minutes ago- Yeah … in terms of people wanting to collect data but not necessarily doing much with the data, not being able to understand the true value of the data to some degree. And you said it yourself, people weren’t connecting the dots. Medical records have always been complicated. They’ve always been bulky. They’ve always been full of information, some of which is really relevant, a lot of which is not so relevant, and connecting the dots to making that a, uh, an important information source is not always an obvious task. So what, what was the particular angle on that challenge that you were trying to gun at? Health Hats: Well, I think we have to take a step back- and think about what is– Well, I’m just gonna speak for myself, okay? I know that I often, you know, as I said, I get asked to sit at the table because people can, you know, check boxes, like is that I’m a patient. I wanna be clear that I’m a privileged white old man with MS living in Boston, but I’m an N of one, and I don’t represent other patients. I’m representing myself here and my perspectives. My goal in terms of my health is best health, and what I mean by best health is optimal health and function, physical, mental, spiritual. Not a cure, but best health for where I am, what I have right now. And to get there, I need my own health data, not just what’s in my clinician’s chart, but what I know about myself, my circumstances, my environment, my history, my habits. Not just my medical history, my life history, my treatment responses. And so that’s like patient-reported data, and that’s stuff that’s only exists because I observe it and sometimes I record it And that’s where it falls apart right away. You were just alluding to some of it, that there’s all this medical data and what’s useful about that. I think Dave DeBronkart was a guest on your show. And when he launched his Gimme My Damn Data campaign, I responded to him with, “Watch what you wish for. You’ll be trying to drink dirty water from a fire hose.” And, and that was years ago, and it’s still true. So six months ago, I, I’d been on a mission to gather my medical data, and my– I’d been with my, uh, primary care practice since 2011, and I wanted all that data from 2011 to 2025. This was, like, in December I started on this crusade of trying to get my data. And actually, two months later, I got a box, a four-pound box of paper, and it was paper that was not in chronological order. And it’s just sitting right here. I’ve scanned it in. It’s not, um- Was it in– Steven Labkoff: Was it a printout of Epic or something, or was it actual- Health Hats: It’s a computer printout. It seems like it’s a vendor that they use to- Steven Labkoff: It wasn’t digital. They sent you, literally sent you a box of paper. Health Hats: Yeah, it was a box of paper. Oh. And then I use a lot the, the Beth Israel Lahey Mount Auburn system, and I asked for the last three months of my records, and I got 296 pages of redundant, non-searchable PDFs, and I got that in 15 minutes. Uh, I see a lot of doctors, so maybe I had seen Hmm. I think I had maybe eight or nine visits, and it just happened to be a three-month period that was busy for me, but I got s- 296 pages. And so that really adds to your comment, which is that access to data and access to usable data are really different. Steven Labkoff: Oh, absolutely. And yeah, I’ll tell you, in my world, I think you know that I’ve worked in the life sciences for many, many years, and we are consumers of healthcare data on many levels. We consume medical claims, we consume electronic medical records, and one of the hardest things about using medical records for research or for outcome studies and things like that is the very fact you’re describing, which is the data tends to be sparse, it tends to be poorly organized. It doesn’t always come in an encoded fashion. Thank God most of what we get these days is at least digital. No boxes of paper for us these days, but it wasn’t so long ago that when it was all paper, we couldn’t get that data in the first place. It just wasn’t even gettable. So at least you’ve made some progress. And- Yeah … yeah, I know that you sit on some national level boards, uh, around outcomes, and you can talk about that in a moment. But those are, you know, those boards are trying very hard to come up with outcome studies and ways of– Let me back that up. They’re coming up with ways of using data to perform outcome studies by harmonizing and, and distilling down to usable forms of this EHR data, which is so challenging. Health Hats: I think what’s key, I– like I, I think I w- I’d like to focus on my data. And so what I wanna do is I wanna see patterns. I wanna see patterns that takes my circumstances, my environment, my habits, my treatment over time, and because I think that these patterns are how I formulate the right questions, so the right questions before I go into a clinical encounter. They’re how I track when something is actually working, and it helps me to coordinate across care teams that don’t talk to each other and make decisions that I can live with that help me attain this goal of best health. So that’s the job, formulate better questions, g- seek better answers, make better decisions. And AI is the tool that I try to use to do it. Now, whether it’s up to the task or not is different. I wanna stick in the nursing angle, if you don’t mind- You know, one of the things that I learned the way I got started in nursing is that my goal as a nurse was to put myself out of a job. Steven Labkoff: So that sounds counterintuitive, but what I mean is from minute one with a patient and family, I’m planning my exit. Like, and to do that, I need maximum face time. I need real present, real conversation, real relationships, not less charting. I was gonna say not charting, not documentation, so that’s just ridiculous. Health Hats: But less, you know. The way you do that, I think, is, you know, less charting, less documentation, you know, not hunting through information you can’t find. And that’s where nursing, that’s a genuine promise. So pattern recognition across specific cohorts of patients. So as a nurse, even though I worked a lot of different places, in each place I worked, there was commonalities. In– When I lived in West Virginia and I was an ER nurse in a super rural hospital, if I had had more information about my patients, their families, I could get– an AI could help me surface those patterns that exist for the people that I’m taking care of, I think I could get time back as a nurse. And if the nurse gets time back, then the patient and family gets the presence of the clinician. So that’s the trade that I’m interested in I wanna go back to that thing about pain and fear. I wanna add what I’ve learned working on the blue button, plus I wanna add cognition. So when you think about it, the data almost never captures the variability of pain, fear, and cognition, and those things are really important because pain changes what you can do and what you can decide. Fear closes your heart. It closes your mind. And so when you’re scared in a clinical encounter, you’re not making good decisions. You’re just saying yes to end it. And cognition is, you know, it varies. Like I can absorb better at 10 in the morning on a good day compared to 3:00 in the afternoon when I’m spent. You know, you could extrapolate this to other people. They have their own particular patterns and circumstances. But I think What I’m trying to get at in all of this is it isn’t first about the data, it’s first about what about life and what about the things that are important to people, uh, patients, caregivers, and the clinicians that they partner with, and how can AI help them? Steven Labkoff: So you’ve explained to me in the pre-call that you’re doing some of this work, so maybe you can unpack a little bit about what it is you’re actually doing with it and how it’s helping or, in some cases, not helping those efforts. Health Hats: Well, what have I done? I, I’ve done different things. One of the things that, that I’ve done is to try to build my toolkit. You know? So when I say build my toolkit, I’m a, I’m a, a conglomeration of symptoms. I mean, you know, I’m, I’m not MS, I’m not my symptoms, but they’re big and they’re there, and I feel like I’m trying to, I’m trying to figure out for anything that I have to deal with, whether it’s any of the different kinds of pains I have, my, my anxiety, my bladder, you know, my mobility, I have challenges, and I, I need a toolbox. I need a toolbox, and the way I think is I need at least three things that will work so that when they happen, I got something I can go do, and pretty much the most common thing is drink water. Drink water is by far the most successful intervention across all of my symptoms. It’s kind of amazing. It’s so cheap, so easy. It isn’t the drugs. Okay, but so how do I do that? Well, for me, I’ve done that partially just in my head. Partially I’ve done that by keeping lists. Like, I keep track of the steps I take. I keep track of the amount of time I play music. I keep track of my falls. I keep track of my weight. And so I use digital tools to do that when I can. Steven Labkoff: I also record my clinician visits because- When you say record, do you mean like audio record or dig- Health Hats: Yeah. Yeah, audio record, right. And, uh, until recently I used Abridge, which is a company that, um- Steven Labkoff: How did you get to use Abridge? You– I thought Abridge was only selling basically into doctor’s offices, uh, from the clinician side. Do you- Health Hats: So I was before that. Ah. And they started as a patient-facing product, and actually they sponsored my podcast for three years. So I was pre that. So putting all that together, so I play with, you know, trying to put into Claude There’s nothing magic or special. You know, it’s me playing, just trying stuff. You know, some of it, you know, my wife will say, “Hey,” she sees a pattern. My kids will see a pattern, or I’ll- Steven Labkoff: Give, give, give us an example of what, of what this looks like. I mean, you’re saying you’re giving Claude or another LLM- Yeah … a series of symptoms, or you’re giving it a series of, plus your data. Like, unpack it and let us know. Yeah. What have you did- Okay, so what- … with the system, and how is it working for you? Health Hats: I’ve done a couple of different things. One is, you know, I have a spreadsheet, and I just put the spreadsheet in, you know, as a document or whatever you call it when you have a project and, you know, you load. I load my spreadsheet. I keep a annual summary, and I keep the year that I’m working on. And I will have fits of journaling. You know, I, this is not something that I am, like, super consistent on, but I’ll, especially when I’m struggling with something, if I’m struggling with my blood pressure or I’m struggling with my mood. I have a progressive mobility thing going on, and I’ll put that in and I’ll prompt. I’ll say, “Can you– do you see a pattern in this?” You know, and I’ve gotten, you know, that there’s- Steven Labkoff: Has it given you some insights? Is it… Like, give me an example of some of the insights it’s actually given you that you didn’t see yourself. Health Hats: Well, I’ve gotten, like, uh, it’s kind of humorous. But, but I’ve gotten, like, you know, “Have you thought about seeing a physical therapist?” And I, I have. You know, I have a physical therapist, uh, that I don’t go to very often. You know, my relationship with her is I go for a tune-up. But they’ll– I, I want– It’ll show, like, I’ll do my sort of things are clearly, you know, I’m not walking as far, I’ve fell on a few times, you know, and I’ll get this suggestion, you know. I also– What else have I done? Oh, oh, uh, once I had a medication that I was taking for neuropathy, and I was– my mood had, like, changed considerably and, you know, I got a thing on that might be a side effect. You know, “Have you talked to your doctor about this?” Steven Labkoff: And I- And you got that out of the LLM? You fed that to the LLM? Health Hats: I did. Yeah. Steven Labkoff: And it suggested it was a side effect, which you didn’t figure out. Health Hats: I didn’t. A neurologist said that he thought– He said, “It sounds like you have an allergy to it.” And, you know, he wanted it to be listed as an allergy because he thought it was very possible that he’s had people that have had a problem. Steven Labkoff: When you tell me that you’ve loaded your data, you give the LLM your signs, your symptoms, you give it your labs, you give it what’s in, in the system, and it comes up with a recommendation that you hadn’t thought– Now, you’re a clinician. You’re a nurse. Yeah. You’ve been a nurse for many, many decades. Health Hats: 50 years. Steven Labkoff: 50 years. And does it surprise you that it comes up with stuff that you didn’t see? Health Hats: No. Steven Labkoff: Cause I, to be honest with you- I- … if I, if I did what you just said and it came up with something completely radical that I’d never thought of and it was right- I would be scratching my head and thinking, “Okay, that’s in- that’s beyond interesting. I better pay more attention to this, and maybe I wanna use it differently.” Because not, it’s not just yous using it. Like, people around everywhere are starting to use it for the same, in the same sim- in the same exact way. So that’s the simplification of the medical system, right? Health Hats: It does. I mean, like when I tell my neurologist, he laughs, and he’s like a whatever works kinda guy, you know? That he feels like he doesn’t have all the answers, and that he likes- those stories. I feel like I’ve learned, I think you know Amy Price, right? Steven Labkoff: Yeah, very well. Health Hats: Yeah. We’re buddies. And so one of the things that I’ve learned from her is how to query and how to be skeptical and how to ask questions from different angles, from different perspectives so that you– And that’s why I think that’s where the unexpected comes up. Steven Labkoff: Well, you’re describing something that we did at the conference. I don’t know if you were in the room in the working group that we did this on, but you’re describing, and actually we’re submitting a paper on it very shortly, on AI literacy. Yeah. And you, you didn’t label it as such, but you’re describing yourself as being AI literate and understanding how to use the tools, most importantly, how to be skeptical of the answers, how to interpret the information that’s being presented to you. Health Hats: A- and that, those are all components of literacy, of AI literacy specifically. One of the things I’m finding in my world is that painfully few people are indeed AI literate. Even the folks in IT departments in large life science companies or hospitals who even work in the space and think that they’re good at it and are literate sometimes are not. That has other implications, which are if people are taking on these really impressively powerful tools and they don’t quite know how to use them as well as they should, and if they query them incorrectly, to your point earlier about making good queries, the responses that come out may or may not be the point. And if patients use that information inappropriately because they didn’t know how to ask the right questions to start with, that could have deep implications to the healthcare system. You could say that same thing about doctors. Steven Labkoff: I will say it about doctors. I mean, not about AI, about the advice that doctors give. Health Hats: There’s a, a tremendous variation, and it is very different. When I am feeling good enough to be organized and to be directive in the conversation with a clinician, I get a very different output than when I’m not. And I still have to be skeptical of what doctors tell me, and until I build some trust. And, and then I, you know, then there’s just too many decisions to make when you’re a person with chronic illness. It’s like putting in a kitchen. There’s so many decisions to make, and I’m happy for the doctors that I trust to make the decisions for me. But there are certain decisions I don’t want to give to the doctor or to AI, like I don’t wanna mess with my pathological optimism. I wanna progress as slowly as possible, and I wanna keep playing my horn. These are really important things to me, and I don’t give those decisions that affect that, I don’t give up. But all the rest of it I do, and, and I’ve worked really hard to build the team that I have that appreciates me and my strangeness and my assertiveness, and, you know, they’re not threatened by it. Steven Labkoff: Is your team AI literate? Do they also use the, these same tools in your care? Health Hats: Uh, like I don’t know. I mean, AI literate is like, is huge. You know? I mean, that’s just such a big thing. Do they use AI? Yes. Do I know how they use AI? Well, you know, they use what’s attached to Epic. I know that. Uh, I mean, look, my neurologist, who I just love, he thinks like he uses, he uses the portal well because he takes– he just keeps adding things to the end of the, a note. Yeah. And so he feels like… Well, I don’t find his notes at all useful, and I tell him that. I tell him, “What I really wanna know is, how am I doing? Am I getting better? Am I getting worse? Am I stable? What should I be paying attention to in the next six months till I see you again?” And I can’t find that in his note. That’s true. Yeah. Now, on the other hand, I’ve taken his note and asked Claude and say, “Here’s the note. How am I doing? You know, have I progressed? H-how is he measuring it?” Oh, well, then I find he’s using this scale, right? And it’ll come up with looking through this note, which is like 10 years running, and it’ll find, I can’t remember the name of it, but there’s a scale that he uses. And then we go back and I’ll say to him, “Oh, you’re using this scale.” And he goes, “Yeah.” And I say, “Well, why don’t you like put that at the top of your note?” You know, so that I can find it. You know, so we have that kind of conversation- Yeah … that AI has helped. Steven Labkoff: Well, that’s actually an interesting perspective that AI is helping to reorganize things, ’cause one of the use cases that has been discussed at, at length actually, and it was discussed at our conference, is using AI to digest medical records. Health Hats: And when I say digest, it’s not about like ingesting them, which is slightly different, but digesting, which means find all the different pieces, put them together, come up with a narrative that summarizes perhaps 300 pages of information which may be sparse and may be poorly organized, and bring it all together. And that’s actually a task that AI is actually turning out to be pretty darn good at. And that again changes the nature of the healthcare system and the healthcare journey. You know- And it does a fair job. You say it’s really good at it. So- It’s better than I could do. It’s better than I could do. Well, yes. Well, you’re not– First of all, that’s not your training, and you don’t have the time for it. And you still have to review it. Yeah, of course. Because I have never used AI that gave me a, “Oh, this is great.” I mean, the first time I read it pretty much every time I think it’s amazing. And then, you know, my rule is sleep on it and check it again. And then it’s like, oh my God, this, first of all, it either just said nothing very fancy or it got some very basic things wrong. And then I’ll say, “Oh, you know, you missed this and you missed that.” And it’ll go, “Oh, you’re right, I did.” You know? Steven Labkoff: Well, that also speaks to the concept of keeping a human in the loop- Yeah which is something that you espouse and many folks in the healthcare aisle- I do … espouse. Ironically, you know Adam Rodman, I think. He was at our conference, he spoke. Yeah. Uh, he’s done a study which shows actually having a human in the loop in some cases actually makes the conclusions worse, believe it or not. Ah. Which is w- a non-intuitive finding. You would think that the two together would be better than either one alone, but so that’s, that’s now relatively n- well, it’s not even that new anymore. That information came out about a year ago. So I, we gotta start wrapping up in a few minutes here. Yeah. You know, we didn’t cover the concept around outcomes around your three T’s and two C’s. Maybe we can cover that in the last bit here, and then we can get to closing. Health Hats: Okay. So I feel like one of the questions that you’ve asked is how AI helped, right? And so what I need to tell you is the framework that I’ve developed over the years, which I’ve actually shared in my AI Claude project that’s Danny’s Health, what I call the three T’s and the two C’s, and this is like the framework I use to evaluate any digital health technology. And so they are time, trust, talk, control, and connection. What I mean by that is time is, you know, you need time to learn, to plan, to talk, to build trust. So I say the clock isn’t the enemy, it’s the, the wrong things filling the time, so the, the time. The second is trust. You know, trust can take a really long time. It can happen really quickly. Sometimes you never have it, and you know in your gut when you don’t have it. And most digital health tools, AI, have a trust deficit, I think, not because they’re untru- untrustworthy, which maybe they are, but it’s really because the people who use them, use the tools, don’t, don’t trust them, and I think it’s really important. You c- you can’t shortcut trust in the use of any tool. I think talk is really important. It’s woven through all of it, real conversation. There is nothing like actual conversation that is making decisions together, which is a lot of what healthcare is about, is making decisions. AI can help you prepare for it, and it can help process it. And then control. I trust more when I have power in a situation. So if I’m feeling like an ant ready to be crushed, I’m not making good decisions. And finally, I would say connection is, it’s the human lifeline. You know, when somebody greets you when you cross a threshold, that’s a connection. When someone’s been where you’re going and they can say, “Oh, that helped me.” AI can extend that connection. They can help people find communities that are available at 3:00 in the morning, but you can’t manufacture it. I, I think that connection is really important, so that’s where I g- you know, time, talk, trust, control, and connection, and I use that framework when I’m evaluating. Steven Labkoff: And that framework gives you a better, you know, a how do I say this right? It gives you a, like a rubric, if you will, to go- Yes … through, uh, the information that’s coming out of it. Danny- Yeah … we’re gonna have to wrap up here in a second. Sure. Are there any last comments you wanna make that, that will, you know, help other patients in the, in the space in terms of how they might wanna think about adopting- an AI tool in their world? Health Hats: I think that I would say use it, use AI, keep using it, experiment with it. That, that i- i- just like anything else, it takes time to learn. It takes time to be comfortable with it. Use it. I would say advocate for humans in the loop. I don’t care what the study says. It’s about humans. We are human. Keep it humans in the loop. I would say find a buddy, you know. Do this with somebody else. Find a buddy- That’s good advice … and experiment. I would say, yeah, talk to your clinician about it. It’s a good barometer of a physician. If they don’t wanna talk or blow you off, that tells you something. Absolutely right. And I would say if you’re comfortable with it, mentor. You know- That’s a good idea … be the buddy. And for clinicians and for systems and developers, I would say you need to have patients, caregivers, and practicing partner clinicians in the design. They need to be there from the beginning. And, you know, so i- it solves the problems people have, not the problems that the developers think are there or the venture capitalists thinks are gonna make money. You know, y- and if you have an opportunity, join, you know, participate. Steven Labkoff: All good advice. Well, Danny, I wanna thank you very much for your participation in, in today’s discussion. Hopefully that there are other patients out there who listen to the podcast, they’ll take something away. For the clinicians out there who are listening, you know, you’ve heard it straight out from a patient who happens to be a healthcare provider himself, and he’s got very strong perspectives on how this can be used in a positive and productive way, and I think the framework that he’s put together is very useful. Danny, I wanna just say thank you for all the help that you’ve provided helping this podcast get off the ground. That’s been really incredibly generous of you and your friends who have helped us a lot, and a lot of the things that have happened on our podcast, uh, for improvement’s sake, have come directly from those conversations, so thank you for that. I wanna thank you for being a guest and sharing your journey and sharing your experiences here. And for the rest of us, I’m gonna say thank you for joining us, and we will see you again next time on another episode of Practical AI in Healthcare. Thank you for listening. Thank you for joining us this week on Practical AI in Healthcare. If you’re ready to go beyond buzzwords and hype and explore how AI is truly transforming healthcare, stay tuned for more conversations that get us to what works. Until next time, stay practical Reflection When Steve interviewed me, he didn't know that everything I told him is the origin story of TrustMyOwn.Health. The box of paper. The 296 pages that were technically my data and practically useless. Twenty-five years of a pattern that sat in my chart the whole time, that it took a person, my PCP, a year to put together. Could AI have done it in an afternoon? I got tired of that being the normal experience instead of the exception. [Add: what specifically prompted starting TMOH, and when.] TMOH starts from a premise I didn't have language for until I said it out loud to Steve: trust isn't a feature you bolt onto a health platform after the engineering is done. It's the whole structure, or the whole thing fails. The three T's and two C's I use to size up any digital health tool turn out to be close to a design spec. Time, because a vault of your whole health history takes patience to build, not a single import. Trust, built into governance rather than promised in marketing; TMOH's Data Sovereignty Covenant binds the board and investors to the same terms as everyone else, which is the only version of trust I believe in. Talk, because the point was never to replace the conversation with my clinician, it was to walk in more prepared for it. Control, because I decide what goes in the vault and who sees it, the same way I decide which of my own decisions I hand to a doctor or an AI and which ones I keep for myself. Connection, which no vault can manufacture, but a good one can make room for. I told Steve that AI found a pattern in my chart that twenty-five years of clinicians missed. That's not really a story about AI being smart. It's a story about who owned the data long enough to ask the question. That's the whole bet behind TMOH: put the owner at the center, and let the rest of the ecosystem, the networks, the vendors, the AI, earn its place around that. See you around the block. Practical AI in Healthcare Episodes https://open.spotify.com/episode/4wA4ltjmZfIZ5VpmTeTTOF?si=KbEvc2_ERNWakJ3JeP2Ddg https://open.spotify.com/episode/0LDetUFJJrSV1cy6LtpGFx?si=qAqoqKBBSNm9PiwPjSIXYA https://open.spotify.com/episode/0wXEm1KnnGorOvTt9GTh7o?si=K_DKXzGyThusBPA6KoVkCg https://open.spotify.com/episode/6krV94ob6Lcv7VNo0qahZ5?si=B6lZDkvsQ9y2Z2FhkXzQGQ Referenced in episode Patient data access history: “Introducing Blue Button Plus: The Next Generation in PHRs” — HealthIT.gov (Office of the National Coordinator for Health IT) — https://www.healthit.gov/blog/consumer/introducing-blue-button/ The “Gimme My Damn Data” campaign Danny references: “Gimme My Damn Data (and Let Patients Help!): The #GimmeMyDamnData Manifesto” — Dave deBronkart, Journal of Medical Internet Research — https://www.jmir.org/2019/11/e17045/ Amy Price, mentioned as a mentor in questioning and skepticism: “Welcoming Dr. Amy Price as Editor-in-Chief” — Society for Participatory Medicine — https://participatorymedicine.org/2024/welcoming-dr-amy-price-dphil-as-the-editor-in-chief-for-the-journal-of-participatory-medicine/ AI literacy for patients, the concept Steve names in the episode: “Critical AI Health Literacy as Liberation Technology: A New Skill for Patient Empowerment” — National Academy of Medicine — https://nam.edu/perspectives/critical-ai-health-literacy-as-liberation-technology-a-new-skill-for-patient-empowerment/ Human-in-the-loop research Danny and Steve discuss (Adam Rodman): “AI and the Evolution of Medical Thought with Dr. Adam Rodman” — NEJM AI Grand Rounds (podcast) — https://ai-podcast.nejm.org/e/ai-and-the-evolution-of-medical-thought-with-dr-adam-rodman/ Abridge, the ambient AI scribe tool Danny mentions using: “Pioneers in Generative AI for Healthcare” — Abridge — https://www.abridge.com/about The DCI Network conference where Danny met the hosts: “About DCI Network” — DCI Network, Beth Israel Deaconess Medical Center — https://www.dcinetwork.org/about-us Please comment and ask questions: at the comment section at the bottom of the show notes on LinkedIn via email YouTube channel DM on Instagram, TikTok to @healthhats Substack Patreon Production Team Kayla Nelson: Web and Social Media Coach, Dissemination, Help Desk Leon van Leeuwen: editing and site management Oscar van Leeuwen: video editing Julia Higgins: Digital marketing therapy Steve Heatherington: Help Desk and podcast production counseling Joey van Leeuwen, Drummer, Composer, and Arranger, provided the music for the intro, outro, proem, and reflection Claude, Perplexity, Auphonic, Descript, Grammarly, DaVinci Resolve, DaVinci AI Art Generator, OpenArt AI Creator Studio Inspired by and Grateful to: Steve Labkoff, Leon Rosenbilt, Amy Price, Leon and Oscar van Leeuwen, Laura Marcial Artificial Intelligence in Podcast Production Health Hats, the Podcast, utilizes AI tools for production tasks such as editing, transcription, and content suggestions. While AI assists with various aspects, including image creation, most AI suggestions are modified. All creative decisions remain my own, with AI sources referenced as usual. Questions are welcome. Creative Commons Licensing CC BY-NC-SA This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-NC-SA includes the following elements: BY: credit must be given to the creator. NC: Only noncommercial uses of the work are permitted. SA: Adaptations must be shared under the same terms. Please let me know. dannyhealthhats@gmail.com Material on this site created by others is theirs, and use follows their guidelines. Disclaimer The views and opinions presented in this podcast and publication are solely my responsibility and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute® (PCORI®), its Board of Governors, or Methodology Committee. Danny van Leeuwen (Health Hats)
Go Book Yourself! - Master Writing, Marketing, and Publishing One Byte At A Time.
DescriptionArtificial Intelligence has changed the publishing landscape forever—but does that mean writers should let AI write their books?In this episode of Write Effing Now, Hilary Jastram tackles one of the biggest conversations happening in publishing today: how to use AI ethically without sacrificing your voice, creativity, or credibility.From AI-generated manuscripts and book covers to editing software and inspiration tools, Hilary shares where she believes AI belongs in the writing process—and where it absolutely doesn't. She explains why reputable publishers are drawing clear ethical boundaries, why originality still matters, and how authors can embrace technology without losing what makes their work uniquely human.Whether you're curious about ChatGPT, Grammarly, AI-assisted editing, or simply wondering what publishers really think about AI, this episode offers a practical—and refreshingly honest—look at the future of writing.What You'll Learn:Why AI is here to stay—and why writers shouldn't ignore it.The ethical difference between AI as an assistant versus AI as the author.Why reputable publishers reject AI-generated manuscripts.Appropriate ways to use AI for brainstorming, outlining, and research.Where AI can help with editing—and where human editors remain essential.The truth behind AI-generated book covers and publishing disclosures.Common AI writing "tells," including repetition and redundancy.Why originality, creativity, and your unique voice will always matter more than automation.Artificial intelligence has become one of the most talked-about developments in publishing, but Hilary believes the conversation shouldn't be centered on fear—it should be centered on ethics.Throughout this episode, she explains that AI is best viewed as a research assistant or brainstorming partner rather than a replacement for human creativity. While AI can help organize ideas, suggest topics, and inspire new directions, the responsibility for researching, verifying facts, and crafting original content still belongs to the author.Hilary also discusses how professional publishers are responding to AI-generated content. She shares why manuscripts written primarily by AI are unlikely to be accepted by reputable publishing houses and why transparency matters whenever AI contributes to a project. She also explores the gray areas surrounding AI-generated artwork, editing tools, and design enhancements while encouraging authors to prioritize honesty throughout the publishing process.Perhaps the most important takeaway is this: writing is more than producing words. It's a process of growth, discipline, creativity, and transformation. While technology can make certain tasks easier, nothing replaces the satisfaction of creating something that is authentically your own.Favorite Quote: "AI is the gatherer. It is not the creator."Ready to write your book the right way?Whether you're starting from a blank page or polishing your final manuscript, Write Effing Now is your weekly guide to writing, editing, publishing, and building a lasting author platform.Connect With Hilary:Follow Hilary for practical writing advice, publishing insights, and encouragement to help you cross the finish line.InstagramLinkedInTikTokFacebookAbout the Author: Write Effing Now is the podcast for writers who are ready to stop waiting and start creating.Hosted by editor, publisher, and author Hilary Jastram, each episode provides practical guidance on writing, editing, publishing, storytelling, marketing, audiobooks, AI, and everything in between. Whether you're writing your first book or your fifteenth, you'll discover actionable strategies to help you write with confidence and publish with purpose.Learn more at Bookmark Publishing.
No Followers. No Credentials. No Prior Clients. Bulletproof Side Hustle System Turning Entrepreneurs Into Resume Goldminers Make money online with an AI resume optimization agency—no followers, credentials, or prior clients needed. Learn the step-by-step system Marcus used to hit $4,200/month building resume and cover letter services with free tools (Claude, ChatGPT, Canva, Grammarly). Discover the ATS-beating formula that defeats the 75% rejection rate, plus the ethical framework that separates real AI entrepreneurs from scheme-sellers. Your contrarian guide to turning zero into a scalable, guilt-free side hustle. https://DarkHorseEntrepreneur.com Tracy explains how to start and scale an AI-assisted resume and cover letter service using free tools (Claude, ChatGPT, Canva Free, Grammarly) and a system designed to beat ATS filters that reject about 75% of applicants. Using an example of "Marcus," who went direct to clients and grew to $4,200 in a month, it argues success comes from process, not credentials or marketing. The approach includes a diagnostic intake (15-question Google Form), ATS-focused prompting, an industry-specific template library, a simple one-off offer via a free Carrd landing page, and client outreach on LinkedIn. It then describes productizing into self-serve and upgraded tiers (including LinkedIn optimization) using automation (Typeform branching, Zapier, low-cost ChatGPT API) while warning about the ethical tradeoff of generic output and recommending a hybrid with a brief human review to add specificity and storytelling. 00:00 AI Resume Side Hustle 00:49 The Invisible Advantage 01:13 Marcus Case Study 02:00 What Clients Want 02:50 Diagnostic Intake Questions 03:38 Prompts That Reframe 04:58 Template Library System 06:15 Simple Offer Landing Page 06:41 Direct Outreach And Delivery 08:23 Systematize With Forms 10:04 Packages And Upsells 11:02 Productize And Automate 12:39 Quality And Ethics Trap 15:24 Translator Mindset 16:49 Whiskered Wisdom 18:08 One Action Today ai resume writing, make money online with AI, AI side hustles, ATS optimization service, freelance resume writing, side hustle, ChatGPT resume writing, AI income, how to start a resume writing business, AI tools, make money online as a mom, AI powered side hustle ideas, resume writing business, online business, AI freelance business ai side gig, digital entrepreneur, Entrepreneur, entrepreneur podcast, entrepreneur tips, Entrepreneurship, Entreprenuer, make money, online business, online entrepreneurship, online opportunities, parenting and entrepreneurship, podcast entrepreneur, side hustles, tips for entrepreneurs, make money online, ai resume optimization, ai entrepreneur
Using AI to track symptoms, weigh medication options, and advocate. Not a cure, a toolkit. An honest, careful path without handing over the wheel. Summary Health Hats reviewed Melissa Reynolds' book on pregnancy in 2019, and they bonded over the fact that a man had blurbed it. Now she's on to something new: she’s been figuring out how to use AI to manage a body that’s been hard to live in for two decades. The turning point came in a diagnostic unit, alone in the dark with no idea what would happen next. She opened Claude and asked what the odds were. The answer was enough to let her breathe. What follows is one of the more grounded conversations you’ll hear about patients and AI. She tracks her symptoms in a spreadsheet and asks AI to surface what she’s missing, which is how she learned that her fatigue flares two days before her gut does. She brings research to her GP, who welcomes it and smiles. She nods at the gastroenterologist, who warns her off “that ChatGPT thing.” She’s careful about the politics, careful about the safeguards, and clear that this is for driving your own care, not replacing your clinicians. Her advice for anyone curious is refreshingly un-hyped: know what state you’re in, get a buddy if you’re vulnerable, and tell the tool what you actually need. She calls it a powerful toy, used well. Click here to view the printable newsletter. More readable than a transcript. Contents Podcast episode on YouTube Episode Proem Melissa Reynolds and I bonded when she invited me to review her book on pregnancy, fibromyalgia, and chronic fatigue syndrome in 2019. That still makes us both laugh: a man had written one of the blurbs on the back cover. I thought it was a riot. Melissa thought it made perfect sense because the people who most need to understand what a pregnant body is going through are often the ones standing next to it, trying to help but not quite getting there. Although we follow each other and frequently comment on each other’s posts, our last real conversation was in 2020 about a yoga program she was starting. A few small things from that conversation are still part of my every-other-day stretching and balance routine. I’m drawn to Melissa because she accepts what is, including that hard-to-live-with body, and creates and shares tools for those of us with the same or different diagnoses but similar lived experiences. All for best health. Our friendship has grown virtually, so we can pick up where we left off. This time, I reached out to Melissa after seeing her posts about her exploration of AI. Alone in the dark with a question Health Hats: What lessons are you learning as you use AI? Melissa: It’s funny to say you use AI because it’s hard not to use it now. But I’ve started exploring how AI can support me on my health journey. For a while, I was using it for bits and pieces. Then this gut issue came up. I don’t know if you’ve seen much of the journey, but I suddenly developed severe gut issues. They sent me for stool tests, which I’d never done before, and the results came back abnormally, astronomically high, so they sent me to the hospital. Melissa: They ran all sorts of tests. They rushed me through a colonoscopy, and then I was sitting there on my own in the dark in this hospital room. It’s an ADU unit, so it’s for diagnostic purposes. It’s not a ward. There was no TV, hardly anyone around, and I was quite alone, with no idea what could happen next. Melissa: So, I went into Claude and explained what had happened, and I said I needed to know, statistically, what was likely going on. It talked me through what it could be. That was enough for me to relax and go, okay, that’s cool. Health Hats: Where does it stand now? Melissa: Until a week ago, it looked very likely it was going to be one of those irritable bowel diseases. But right now, we’re completely unclear. I’ve got more specialists to see. But I realized the applications, so I started researching. Deciding to use every tool Melissa: Look, I’ve been sick for 20 years. I’ve been mistreated more than I’ve been well treated, and I’ve lost half my life. A lot of the doctors I saw were, meh. In the last 10 years, I’ve improved my life dramatically, but what upsets me is that I’m still nowhere near normal. That means I was very sick, and most of the doctors I saw were like, meh, even though there were concrete things to treat. They were misdiagnosing me. They were not treating me. Melissa: So I thought I was going to use every tool I had available. I actually told Claude, “Okay, you know my history. We’ve been chatting for a while. Tell me how I can use what you can do better.” The fatigue was signaling two days early Melissa: I do a lot of data analysis in my part-time job, so I thought, let’s get serious about my data analysis. I moved my symptom tracking from a physical book to a spreadsheet. Then I created a prompt where I upload it once a month and say, “Here’s my data. Tell me what you’re noticing that I’m not.” It notices things I don’t. Health Hats: Like what? Melissa: It was the post-exertion malaise flares that I wasn’t quite understanding. Health Hats: Post-exertion malaise. That’s the blowback from overdoing it, the hallmark of ME/CFS and other energy-limiting conditions? Melissa: Yes. It also picked up that when I was having my gut flares, my fatigue would signal a couple of days beforehand. Every time I had a gut flare, my fatigue would worsen beforehand. So, it’s now pretty clear that whatever’s going on with my gut is systemic. It’s part of a larger situation, not just related to my gut. Melissa: The data analysis and the research have been so helpful. I say, do some deep research, and I want you to talk to me about this topic, and it does. But you have to be very clear about what you want it to do. There’s a lot to learn about prompting. It’s very nuanced. Smiling, nodding, and using it anyway Health Hats: How do the clinicians you’re partnering with respond? Are they curious or suspicious? There must be a range of responses. Melissa: It depends. My gastroenterologist keeps saying, “Oh, I hope you’re not using that,” and they always say ChatGPT when they mean AI. So I’m smiling and nodding, but obviously I was. My GP, though, is fantastic. She loves it when I bring her research. She’s engaged. If you’re comfortable with people googling, then AI is just the next step. It’s more efficient than googling. Melissa: And I never go to her and say, “I’ve self-diagnosed myself with this.” It’s more like, “I’ve done some research.” Here’s a practical example. The gastroenterologist suggested a medication, and I don’t feel comfortable taking it. Even though they downplay the interaction with another medication I’m on, I don’t feel comfortable with the overall risk, especially when you’re playing with heart rate and blood pressure. I have low blood pressure and heart rate issues. Melissa: The wonderful thing about AI, compared to what I can do on a hard day, is that it can pull things together. We were talking about this medicine, and it found an alternative, a lower-risk medicine that also supports this other thing. The one thing I don’t want is to end up on loads of medicines and not be sure what’s working. A doctor is surely happy to have me as an informed participant in my care, especially when chronic conditions require patient buy-in. Where the records actually live Health Hats: You’re in New Zealand. I always wonder how the culture and politics around medicine and these tools differ from those here, where it’s a bit of a free-for-all and the guardrails are thin. Melissa: We’re in a very different situation. For a start, we’re a public system, but it’s crumbling. You have the people reliant on it, the people failed by it, and the few who can afford private insurance, which mostly just means you see the same people without being gatekept. We’re very segregated. Each specialty focuses on a single organ. As far as I know, we have one multidisciplinary clinic for long COVID, and it’s in the South Island, so I have no access to it, even though my ME/CFS came on after a viral illness and I’d benefit from exactly that. Melissa: What we do have is one public record that’s stayed with me, and a recent change that allows patients to request any information an organization holds about them. That’s actually how a lot of things changed for me. I got access to my patient portal at 32, and that’s how I found out I’d been diagnosed with chronic fatigue syndrome. No one had told me. They’d just written it in there. Health Hats: As opposed to all the times you were misdiagnosed, with both false positives and false negatives. And pulling it all together is the trick. I have a four-pound box of paper from one office, 500 pages, and 291 pages of PDF from another for three months of visits, all out of order and wildly redundant. So much of it is wrong. You start to realize that, at best, it’s grade-D information, and what I put in my journals and spreadsheets is probably the most accurate, which a doctor would never agree to. Melissa: It’s the same here. The onus is still on the patient to gather it all and then use it. That’s a whole other thing, and it’s something I’ve always struggled with. A very powerful toy Health Hats: What words of wisdom do you have for people who are using these tools? Do you want to encourage them or caution them? Melissa: First, think about what state you’re in. If you’re a bit vulnerable, don’t feel confident with technology, or are unsure about any of it, then seek guidance. Have a buddy or a mentor to do it with. Melissa: If you’re like me, data-oriented and logical, deep research is great. But if you’re someone who needs minimal information and more would fry your nervous system, then either don’t do it, ask someone to do it for you, or tell the AI, “I don’t need lots of detail; give me the three key points I can take away.” You can always guide it. Many people use it like they’re talking to someone, which can be useful when you’re working through things. But if you can prompt it well, you’ll get what you need. Melissa: That’s why I’m writing a series of articles. I want to guide people so they can focus on one thing, like how to use their data to get good analysis, because it’s a lot. First, you’ve got to learn how to prompt, then what to put in, then how it works. My articles are trying to make it more accessible. It’s always us, the people who are chronically ill, who are least able to jump on opportunities and make the most of them, and we’re the ones who need it most. But if you’re worried about it or opposed to it, leave it. Health Hats: I’m not a black-and-white person; I’m more nuanced. It helps with some things but not others. One thing I’m struggling with is that it gives me too much to share, and I want to share all that depth. Maybe it’s useful for me, but not for other people. So, I’m learning to set limits. My audience has three minutes or 500 words. Then I can ask more questions. It’s amazing. It’s a toy, in a way. A very powerful toy. Melissa: Thank you so much. I can’t believe it’s been so long. Health Hats: I know. Do we need to make an appointment for another four years? Melissa: No, let’s do six months. Health Hats: Sounds good. See you around the block. Reflection Neither of us is going to be cured, whatever that word even means. But I am living a good life. I am playing music, traveling, and in love. My grandson just turned eighteen and is graduating from high school. Life is good. That is the whole point, really. The point was never the technology. I know my enthusiasm for using Claude turns some people off. A number of you seriously distrust anything with AI in it, and I don’t dismiss that. I’m uneasy too, less about the tool in my hands than about the AI-industrial complex behind it, the money, power, and momentum, something like splitting the atom: enormous force, no guarantee of where it gets pointed. And yet here I am, using Claude and Claude Cowork to cut the forty to sixty hours I spend on each episode down to about twenty. I’ll share how in future episodes. I hold the worry and use the tools anyway. The point is deciding to drive our own train and being glad to have one more tool in the cab. A tool, a toy used best by someone who knows their own mind and keeps both hands on the wheel. Referenced in episode Melissa’s Substack Melissa’s book on pregnancy, fibromyalgia, and chronic fatigue syndrome Melissa’s yoga program Melissa’s book: Fibromyalgia Won’t Win: Learning, Loving and Living with Chronic Pain and Fatigue (Melissa vs Fibromyalgia The Collection), New Zealand’s Right to Records. Please comment and ask questions: at the comment section at the bottom of the show notes on LinkedIn via email YouTube channel DM on Instagram, TikTok to @healthhats Substack Patreon Production Team Kayla Nelson: Web and Social Media Coach, Dissemination, Help Desk Leon van Leeuwen: editing and site management Oscar van Leeuwen: video editing Julia Higgins: Digit marketing therapy Steve Heatherington: Help Desk and podcast production counseling Joey van Leeuwen, Drummer, Composer, and Arranger, provided the music for the intro, outro, proem, and reflection Claude, Perplexity, Auphonic, Descript, Grammarly, DaVinci Inspired by and Grateful to: Photo Credits Related episodes from Health Hats https://health-hats.com/fibromyalgia-managing-pain-doing-the-work/ https://health-hats.com/fibro-mama-book-review/ https://health-hats.com/accessible-yoga-honor-your-body/ Artificial Intelligence in Podcast Production Health Hats, the Podcast, utilizes AI tools for production tasks such as editing, transcription, and content suggestions. While AI assists with various aspects, including image creation, most AI suggestions are modified. All creative decisions remain my own, with AI sources referenced as usual. Questions are welcome. Creative Commons Licensing CC BY-NC-SA This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-NC-SA includes the following elements: BY: credit must be given to the creator. NC: Only noncommercial uses of the work are permitted. SA: Adaptations must be shared under the same terms. Please let me know. dannyhealthhats@gmail.com Material on this site created by others is theirs, and use follows their guidelines. Disclaimer The views and opinions presented in this podcast and publication are solely my responsibility and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute® (PCORI®), its Board of Governors, or Methodology Committee. Danny van Leeuwen (Health Hats)
ANGELA'S SYMPOSIUM 📖 Academic Study on Witchcraft, Paganism, esotericism, magick and the Occult
I keep being accused of using AI. I've even been accused, more than once, of being AI-generated. So I owe you something better than irritation: an actual explanation of where I stand.In this episode, I work through the real concerns: the scraping of artists' work, the environmental cost, algorithmic bias, the fear of job displacement, the worry about deskilling, and argue that every one of them is a problem of how, not of whether. They are arguments for regulation, not for personal abstention. I talk about my own practice (yes, AI images sometimes; yes, Grammarly; no, not the writing or the thinking), about teaching at university in the middle of all this, and about why, as an anthropologist, I think this debate is really a debate about authorship and authenticity wearing a technological costume.The question, in the end, was never if AI. It was always, only, how.CONNECT & SUPPORT
Most of us were taught spelling through weekly word lists and memorization. Structured Word Inquiry takes a completely different approach by teaching students to investigate how words are built from meaningful parts. In this episode, we explore what Structured Word Inquiry is, how it differs from traditional spelling instruction, and whether it might fit into your homeschool. If you have ever wondered why English spelling works the way it does, this conversation may change how you think about words. Find Secular Curriculum with our Resource Selector https://www.homeschool-together.com/secular-resources Support The Podcast If you like what you hear, consider supporting the podcast: https://homeschooltogether.gumroad.com/l/support Consider Leaving Us A Review If you have a quick moment, please consider leaving a review on iTunes - https://podcasts.apple.com/us/podcast/homeschool-together-podcast/id1526685583 Show Notes Structured Word Inquiry - https://en.wikipedia.org/wiki/Structured_word_inquiry Structured Word Inquiry - https://structuredwordinquiry.com/ Grammarly - https://app.grammarly.com/ Hearth and Story - https://www.hearthandstory.com/ Evan Moor Spelling - https://amzn.to/3PnGfW5 Spelling School Zone - https://amzn.to/4wQ6rsY All About Spelling - https://www.allaboutlearningpress.com/all-about-spelling/ Explode the Code - https://www.epslearning.com/products/explode-the-code-2nd-edition Scarborough Reading Rope Part 1 - https://homeschooltogether.fireside.fm/468 Scarborough Reading Rope Part 2 - https://homeschooltogether.fireside.fm/469 Pareto Principle Thinking - https://en.wikipedia.org/wiki/Pareto_principle Connect with us Website: http://www.homeschool-together.com/ Store: https://gumroad.com/homeschooltogether Youtube: https://www.youtube.com/c/homeschooltogether Facebook: www.facebook.com/groups/homeschooltogetherpodcast/ Instagram: www.instagram.com/homeschooltogetherpodcast Twitter: https://twitter.com/hs_together The Gameschool Co-Op: https://www.facebook.com/groups/gameschoolcoop/ Email: homeschooltogetherpodcast@gmail.com
On this week's episode of The MacRumors Show, we talk through all of the major rumors surrounding Apple's announcements at WWDC 2026.00:00 Introduction01:50 Why This WWDC Matters02:58 The New Siri App06:32 Siri Replaces Spotlight and New Gestures11:55 Third-Party AI and Extensions Marketplace19:10 Siri Across First-Party Apps22:13 Photos, Health, and AI Editing26:28 Natural Language Shortcuts28:34 Camera, Safari, Wallet, and AirPods38:11 macOS and Apple Silicon Only43:06 Smart Home Hub, Foldable iPhone, and Other Platforms51:54 Wrap-UpThe event's tagline, "All Systems Glow," is widely seen as a hint at Siri's new design. Bloomberg's Mark Gurman has reported that Apple is rebuilding Siri as a full chatbot to compete with ChatGPT, Claude, and Gemini, complete with a dedicated app, Dynamic Island integration, and a new system-wide search interface wrapped in a dark, glowing aesthetic that matches the WWDC branding. The dedicated Siri app for back-and-forth conversations is said to be modeled on iMessage, with voice input and the ability to attach images and documents. Users will reportedly be able to set conversation history to auto-delete after 30 days, one year, or never.A new system-wide interface called “Search or Ask" purportedly replaces Siri Suggestions entirely, triggered by swiping down from the top center of the screen. From there, users can launch apps, start texts, set reminders, trigger Shortcuts, or query Apple's new AI web search, which Gurman says Apple is positioning as a Perplexity competitor. Results allegedly appear as a translucent card in the Dynamic Island, and swiping further opens the full Siri app. Notification Center moves to a top-left swipe, while Control Center stays top-right.The new Siri will reportedly be able to answer multi-part questions, maintain conversational context, summarize uploaded documents, generate images, and draw on personal data across first-party apps like Mail, Messages, Photos, Notes, Contacts, Calendar, and Reminders. Apple is said to be powering it with a custom model based on Google's Gemini, after its own models reportedly fell short. Gurman says the personalized Siri still carries a "beta" label in internal builds, and there is a "strong chance" it ships that way, more than two years after Apple first showed it off at WWDC 2024.iOS 27 will also purportedly introduce an "Extensions" feature letting users choose which AI service powers Siri, with a dedicated App Store section for third-party integrations. Users will reportedly be able to set ChatGPT, Gemini, Claude, and others as the default for Writing Tools, Image Playground, and more, with third-party responses using a distinct voice so users can tell which is speaking. Apple has also reportedly held talks with developers about deeper agentic integrations, and is said to be replacing Core ML with a new Core AI framework.Apple is reportedly giving the Camera app a major overhaul, moving Visual Intelligence from the Camera Control button into a dedicated Siri mode inside the app. Apple is also purportedly making the interface fully customizable via a widget tray, letting users arrange controls like flash, exposure, timer, and depth of field. Visual Intelligence will allegedly also gain the ability to scan nutrition labels for Health app tracking and read contact details from business cards.Photos is said to be getting three new AI editing tools alongside the existing Clean Up feature. "Extend" generates content beyond the original frame, "Reframe" changes the perspective of spatial photos, and "Enhance" applies automatic color and lighting adjustments. Writing Tools are reportedly getting a grammar checker with per-suggestion accept and reject controls, and keyboard autocorrect is said to be gaining Grammarly-style alternative word suggestions.Apple is reportedly redesigning Image Playground with a simpler interface and new models producing more lifelike images. Genmoji is allegedly getting a new model that improves quality and reduces battery drain, with a Suggested Genmoji feature drawing on the user's media and messages. AI-generated wallpapers are also reportedly coming, with Image Playground built into the wallpaper picker.The Wallet app is purportedly gaining a "Create a Pass" feature for digitizing physical tickets and membership cards, and Apple Cash is reportedly getting a bill-splitting feature that lets users photograph a receipt, assign items to individuals, and send payment requests via Wallet or Messages. Shortcuts is said to be getting a natural language interface for building automations by description.Other notable changes include a system-wide Liquid Glass opacity slider that Apple apparently couldn't get working in iOS 26, the option to beam content to AirPlay alternatives like Google Cast (reportedly EU-only as a DMA requirement), and expanded satellite features including Apple Maps and photo sharing over satellite.Apple also previewed a wide range of accessibility improvements ahead of WWDC, including AI-powered descriptions in VoiceOver and Magnifier, an upgraded Accessibility Reader for complex document layouts, automatic video captionsgenerated on-device, and a new FaceTime API for live sign language interpretation. For visionOS, Apple is adding Power Wheelchair Control using Vision Pro's eye-tracking, Vehicle Motion Cues for users in moving vehicles, and face gesture support for system actions.Leaker "Instant Digital" claims iOS 27 will drop support for the iPhone 11 lineup and second-generation iPhone SE, requiring at least an iPhone 12, with Apple Intelligence continuing to require an iPhone 15 Pro or newer. macOS 27 is said to share the same Siri and Apple Intelligence upgrades, with refinements to Liquid Glass and the same performance focus. It will reportedly be Apple silicon only, dropping all remaining Intel Macs, and is said to be the last release to include full Rosetta support.Gurman described iOS 27 overall as a "Snow Leopard" update, with Apple prioritizing stability, code cleanup, and battery life gains alongside the new features. The keynote begins June 8 at 10 a.m. Pacific Time, with developer betas expected the same day and a public release in September.
How does an ASO specialist with 10+ years of experience think about AI visibility in 2026?In this episode of Intelligent Artifice, Simon Thillay from AppTweak shares what the data actually shows about how AI tools like ChatGPT are discovering and recommending apps today. ChatGPT owns the platform. Grammarly is outranking it inside its own answers. Simon knows exactly why.This conversation covers what is actually changing in app store optimization, how AI visibility works differently from traditional ASO, and why the gap between apps that show up in AI-generated answers and those that don't is already opening up.AppTweak's research found that the most cited domain in ChatGPT answers for app-related queries is the App Store itself. Simon's team tested the same intent across ten different phrasings and found Grammarly consistently outranking ChatGPT for business writing app recommendations inside ChatGPT. The difference was not product quality. It was how Grammarly positioned itself for specific user contexts across its app store presence.Simon also points to one specific part of the App Store listing that most ASO teams have never touched, and explains why it is now one of the strongest levers for AI visibility in 2026.Video Chapters:00:00 – Introduction & Podcast Technical Mishaps 00:46 – How AI is Changing App Store Visibility 01:42 – Pre-searching Apps via LLMs (ChatGPT Traffic) 02:14 – The Role of App Store Optimization (ASO) in AI Answers 02:40 – Optimizing Long Descriptions for AI Search 03:19 – Writing for Humans vs. Writing for AI (User Personas) 04:08 – Structuring Content & Entity-Based Writing for AI 05:07 – Answer Engine Optimization (AEO) & The Open Web Ecosystem 06:26 – How to Audit Your App's AI Visibility (Intent vs. Prompts) 07:11 – Case Study: Grammarly Outperforming ChatGPT on Niche Intents 07:54 – Measuring AEO Impact: Coverage, Rank, and Sentiment 09:02 – Where to Find Simon ThillayTopics covered:App Store optimization and AI visibility in 2026How ChatGPT and LLMs discover and recommend appsAEO strategy for mobile appsEntity-based writing for app store listingsMeasuring AI visibility across coverage, rank, and sentimentAppTweak research on AI-driven app discoveryLearn more: https://mobileuseracquisitionshow.com/episode/aso-for-ai-simon-thillay/- Episode pagehttps://www.linkedin.com/in/simon-thillay-58b95997/- Connect with Simon on LinkedIn
Everyone in tech is telling you to go faster. Eric stepped away from his role to do the opposite.In this conversation, we get into why so many people feel like they're falling behind in AI, and why that feeling is mostly manufactured. Eric makes the case that we're miscalibrated: assuming what's true for the 0.1% (the SF AI inner circle) is true for the 10%, when by definition almost no one is keeping up with that group. We talk about why judgment, not throughput, is the real bottleneck right now, why most AI products feel boring even as code output explodes, what the "flatten the org" experiments are actually measuring (spoiler: yesterday's stock price), and why people are leaving corporate roles at a rate that's hard to ignore.We also get into the parts nobody wants to say out loud: layoffs by email, the gap between who people are in private vs. on LinkedIn, the ghost routines after you leave a job, and what walking around San Francisco actually feels like when every billboard is AI and every person you pass looks depleted.If you've felt the FOMO and wondered whether the problem is you or the framing, this one's for you.Eric Weber is a data and product leader formerly at Grammarly, Yelp, LinkedIn, and Stitch Fix.
In this episode: Alan eschews one gaming fad for a more bespoke, artisanal gaming experience using R4 cards, and ZXDS. Martin no longer considers Grammarly his friend, new friend is Harper Mark continues his Kobo journey with ventures in NickelMenu and KOReader. You can send your feedback via show@linuxmatters.sh or the Contact Form. If you’d like to hang out with other listeners and share your feedback with the community, you can join us on: The Linux Matters Chatters on Telegram. The Linux Matters Subreddit. If you enjoy the show, please consider supporting us.
In this episode: Alan eschews one gaming fad for a more bespoke, artisanal gaming experience using R4 cards, and ZXDS. Martin no longer considers Grammarly his friend, new friend is Harper Mark continues his Kobo journey with ventures in NickelMenu and KOReader. You can send your feedback via show@linuxmatters.sh or the Contact Form. If you’d like to hang out with other listeners and share your feedback with the community, you can join us on: The Linux Matters Chatters on Telegram. The Linux Matters Subreddit. If you enjoy the show, please consider supporting us.
Send us Fan MailJason Katcher is the Global Education Channel Lead at Superhuman, where he focuses on scaling AI-powered productivity and communication tools across education through strategic partnerships. Previously at Google, Dropbox, and multiple edtech startups, Jason brings deep experience in education technology, AI adoption, and go-to-market strategy.
In this episode I sit down with author and speaker Douglas Schmidt to discuss his upcoming book, The Power of Self-Leadership: The Path to Unleash Your Talents, Strengths, and Superpowers.We talk about the connection between learning and leadership, why habits matter more than motivation, and how small daily decisions can shape your future. Douglas shares insights from books like Atomic Habits and Learning How to Learn, explains the neuroscience behind procrastination, and reveals why he believes “learning is a superpower.”We also dive into his publishing journey, building writing habits, using tools like ChatGPT and Grammarly, and the importance of surrounding yourself with mentors and lifelong learners.If you're a writer, reader, creator, or anyone trying to grow personally and professionally, this conversation is packed with practical insights and encouragement.Send us Fan MailSupport the show
Já começando a aquecer os motores para a WWDC26, a dupla Rafael Fischmann e Eduardo Marques volta a debater tudo de mais quente que rolou nos últimos dias, no mundo Apple. No ar! [Edição: Edu Garcia] 00:00 Introdução 08:36 Apple revela seleção de recursos de acessibilidade empurrados por IA que chegarão aos sistemas 27 16:16 Suposto app da Siri no iOS 27 poderá apagar chats automaticamente 20:19 Genmojis poderão ganhar sugestões personalizadas no iOS 27 24:03 IA no iOS 27: sistema poderá ganhar recurso à la Grammarly, app Atalhos turbinado e mais 30:41 Apple Watches poderão ganhar novos designs e sensores aprimorados ainda em 2026 39:22 Em meio a batalha judicial, Fortnite enfim retorna à App Store globalmente 46:18 Vivo passa a oferecer seguro para iPhones com AppleCare Services 53:24 Encerramento
This episode is sponsored by Skip Wilson & Draft Media Partners.Welcome to another episode of Mojo: The Meaning of Life and Business. In today's show, Jennifer Glass sits down with acclaimed advertising expert Skip Wilson, founder of Draft Media Partners, to unpack how the advertising and marketing landscape is evolving with AI, social media, and cutting-edge tactics. From his early start as a 16-year-old copywriter to his influential roles at CNN and iHeartMedia, Skip Wilson brings decades of experience to discuss how businesses—both big and small—can make their marketing stand out, the shift from organic to pay-to-play platforms, and the challenges and opportunities AI brings to content creation and audience engagement. Whether you're curious about the future of search, remnant advertising, or how to get your brand noticed in a world overloaded with information, this episode is packed with practical tips and forward-thinking insights.About my guest: Skip Wilson is a distinguished figure in the advertising world and the founder of the acclaimed advertising execution company DRAFT Media Partners. His journey began as a copywriter at 16, leading him to hone his expertise at CNN Special Project before playing a pivotal role in establishing the digital division at Clear Channel Radio. As the former Vice President of Digital Media for iHeartMedia, he brings over a decade of high-level experience to his work. A bestselling author and the host of "The Advertising Podcast," his company was recently recognized as "Most Intuitive Software Developer" in 2023 and "Best Marketing Software Developer" in 2024.Connect with Skip on Facebook, LinkedIn, X, Instagram, YouTube, and on the web at https://draftmediapartners.com/Keywords: marketing, advertising, copywriting, AI search, search engine optimization, organic traffic, social media, paid advertising, content generation, video advertising, remnant advertising, broadcast TV, OTT, CTV, digital marketing, target audience, Geico commercials, Google ads, audience targeting, content performance, AI-generated content, Grammarly, blog posts, marketing strategy, consumer behavior, ad campaign tracking, Super Bowl commercials, Amazon Prime ads, Hulu ads, small business marketing, media planning
From a 10-bed lying-in hospital to Handel's Messiah, the Rotunda Maternity Hospital has operated continuously for 281 years. A Nurses' Week story. Summary Across the street from Danny’s Dublin hotel stood a large white institutional building with no signage. It turned out to be the Rotunda Hospital — the oldest continuously operating maternity hospital in the world, delivering babies in the same building since December 8th, 1757. Surgeon Bartholomew Mosse founded it after losing his wife and child in childbirth, trained as a midwife in Paris at a time when physicians were penalized for practicing midwifery, and returned to Dublin determined to build something that didn’t yet exist. The first version had 10 beds and delivered 190 babies in its first year, with one maternal death. Unable to raise money for a larger hospital — no one wanted to fund poor women’s care — Mosse attended the world premiere of Handel’s Messiah in Dublin in 1742 and was inspired. He turned the future hospital site into a pleasure garden with orchestras, dances, and theater to attract wealthy donors. He was later imprisoned for debt, escaped through a castle window in Wales, hid in the mountains for three weeks, and died exhausted and broke in 1759, less than two years after the new hospital opened. Sara E. Hampson, one of Florence Nightingale’s original nurses, became the hospital’s first female superintendent in 1891 — a thread that ties Nurses Week directly to this building, Danny almost walked past. Click here to view the printable newsletter. More readable than a transcript. Contents Podcast episode on YouTube Episode Proem: No Signage, No Appointment, No Problem Hello. Welcome to 2026 Nurses Week, May 6th through 12th. I’m very proud to be a nurse. I’ve been a nurse for 50 years. And my grandson’s going to nursing school next year. He’s graduating as a senior and will attend Loyola University in Chicago for its nursing program. I’m very proud. I want to tell you a story about one of the most significant things that happened during our trip to Ireland a couple of weeks ago. We were staying in the north-central city of Dublin, Ireland. Across the street, I saw a big white institutional facade with no signage. It looked like the side of the building. Next to it, on its right, was a dome with a more modern sign that read “Ambassador”. So, I went into the hotel and asked, “So what’s this building?” And they didn’t know. I looked it up, and it turned out to be the Rotunda Hospital. The Rotunda Hospital is the oldest freestanding maternity hospital in the world. Midwifery Was Scandalous. He Did It Anyway. Now let me see. I’ve got some notes here. The hospital was founded in 1745 by a man named Bartholomew Mosse, M-O-S-S-E. He was a certified surgeon. His wife and child died in childbirth. After this tragedy, he left Ireland to serve as a doctor with the British Army. While he was away, he received midwifery training at a hospital in Paris and obtained his midwifery license, which was unusual. In fact, fellows of the Royal College of Physicians were even penalized if they practiced midwifery. But Mosse wanted to change that. So, he built this small place, 10 beds, that… Let’s see, when did it open? I guess it opened in 1745. Mosse’s ambition was to build a dedicated maternity hospital in Dublin to provide medical care and shelter to the city's penniless mothers. This came after he encountered unspeakable conditions during his practice, particularly in the aftermath of the 1739 famine. So he established this 10-bed hospital. It was in a small theater called the New Booth Theatre. It says here that it was the first lying-in hospital of its kind in the world. It had only 10 beds, but in its first year, 190 babies were born, and just one mother died. But obviously, they couldn’t meet demand with 10 beds. When No One Funds Poor Mothers, Try Dancing Mosse tried to raise money to build a larger hospital, but nobody really wanted to give money to poor women. So he happened to attend the world premiere of Handel’s Messiah on April 13, 1742. While he was there, he was inspired to raise money by entertaining the wealthy. Somebody sent me a picture of the Handel statue that’s in front of the theater where the premiere was, which I thought would be interesting. According to my research, on the evening of April 13th, 1742, Handel conducted the world premiere of his Messiah on Dublin’s Fishamble Street, and Mosse was present. Historians suggest that this moment crystallized Mosse’s idea of using high-society entertainment to fund a hospital for the poor. So Mosse turned the proposed hospital site into a pleasure garden with a live orchestra, theatrical performances, and dances in a coffee house, marrying philanthropy with frivolity to reach the wealthy. Debt, Daring Escape, Death Here’s a little interesting tidbit. Lotteries nearly destroyed Dr. Mosse. Before he was able to return to Ireland, he was arrested and charged with being 200 pounds in debt, and he’s thought to have been imprisoned in Beaumaris Castle in Anglesey, Wales. The story was that he managed to escape through a window and hid in the Welsh mountains for three weeks before reaching Ireland. He then vindicated himself by publishing his receipts and lottery accounts, whatever. But less than a year after the hospital opened, he was taken seriously ill, exhausted, heavily in debt, and petrified about the prospect of arrest and imprisonment. He died on February 16th, 1759. Fix the Air, Save the Babies. Then and Now. Around 1781, when the hospital was poorly ventilated and every sixth child died within nine days of birth, they realized the problem was poor ventilation. Ventilation was improved, and mortality dropped to 1 in 20 over the following five years. They’re also planning to celebrate their millionth birth in 2026. It’s just amazing. I met a saleswoman in a sweater store who asked where we went in Dublin. When I told her about the Rotunda Hospital, she said she had a difficult pregnancy and birth without insurance. She received care at the Rotunda Hospital, with her baby in neonatal intensive care for three weeks and herself as an inpatient for two weeks. Awesome care! So, when we were there, I, an old white guy in a wheelchair, motored into the Rotunda Hospital and stopped at the registration desk to ask if I could speak with someone. I had not made an appointment. I was leaving the next day. Very nice people. I tried to get hold of people in their library, research, and marketing, but they were busy, of course. Oldest? It's Relative. I’m really impressed by the idea of being the world's longest-operating specialist hospital. I was trying to get some perspective on that, so I looked up the oldest continuously operating hospitals, and here’s what I learned. I learned that in the United States, the oldest continuously operating hospital is Bellevue Hospital in New York City, which opened in 1736 as a six-bed infirmary.[1] So, it began as a haven for the indigent and is still a major public hospital on the East Side of Manhattan. It opened nine years before Mosse opened his first lying-in hospital. The other long-running hospital is the Pennsylvania Hospital in Philadelphia[2], established in 1751 by Benjamin Franklin and Dr. Thomas Bond. It’s still operational as part of the University of Pennsylvania Health System. The oldest hospital is the Hôtel-Dieu in Paris[3], which officially opened in 650 AD, and that’s the hospital where Mosse became a midwife. There’s St. Bartholomew’s Hospital in London, founded in 1123[4]. And there’s the Hospital de Jesús Nazareno in Mexico City, opened in 1524. But really, the Rotunda is the oldest maternity-only specialist hospital, continuously operating in the world, which is a more specific and arguably more impressive claim than the general acute care hospitals Bellevue and Hôtel-Dieu, which have both moved buildings, changed missions, and been rebuilt. The Rotunda has been delivering babies in the same building since December 8th, 1757. That’s really something. Reflection: Nightingale Was Here Too So, let’s bring this back to Nurses Day and to Florence Nightingale. Interestingly, Sara E. Hampson was one of the original Nightingale nurses and the first lady superintendent of the Rotunda Hospital in 1891. So yay, nursing. Yay, history. I’m really looking forward to exploring more of this amazing hospital in Dublin. I wonder who was in charge all these years, and how it survived past Mosse and through those first decade or first few years? And then, how did the Rotunda Hospital survive war, famine, pandemics, and technological change? What research occurred there? Is there a diaspora of Rotunda alumni? Anyway, more to come. Thanks. Referenced in episode [1] By Harper’s Weekly – Harper’s Weekly, Public Domain, https://commons.wikimedia.org/w/index.php?curid=6014479 [2] William Strickland (1788-1854) Engraver: Samuel Seymour (1796-1823), Public domain, via Wikimedia Commons [3] I, Clio, CC BY-SA 3.0 , via Wikimedia Commons [4] See page for author, CC BY 4.0 , via Wikimedia Commons Are you part of the Rotunda Hospital diaspora? Find me at dannyhealthhats@gmail.com. Tell me your version. Please comment and ask questions: at the comment section at the bottom of the show notes on LinkedIn via email YouTube channel DM on Instagram, TikTok to @healthhats Substack Patreon Production Team Kayla Nelson: Web and Social Media Coach, Dissemination, Help Desk Leon van Leeuwen: editing and site management Oscar van Leeuwen: video editing Julia Higgins: Digit marketing therapy Steve Heatherington: Help Desk and podcast production counseling Joey van Leeuwen, Drummer, Composer, and Arranger, provided the music for the intro, outro, proem, and reflection Claude, Perplexity, Auphonic, Descript, Grammarly, DaVinci Inspired by and Grateful to: Dr. Lisa Masinter and Dr. Michele Whitt, Janice Tufte, Linda DeRosa, Luc Pelletier, Cherie Binns Photo Credits Ann Boland, Paul Boland, Janice Tufte, Danny van Leeuwen, and as referenced in the transcript Related episodes from Health Hats https://health-hats.com/pod133/ https://health-hats.com/ob-nurse-cannabis-nurse/ https://health-hats.com/build-it-and-they-will-come/ Artificial Intelligence in Podcast Production Health Hats, the Podcast, utilizes AI tools for production tasks such as editing, transcription, and content suggestions. While AI assists with various aspects, including image creation, most AI suggestions are modified. All creative decisions remain my own, with AI sources referenced as usual. Questions are welcome. Creative Commons Licensing CC BY-NC-SA This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-NC-SA includes the following elements: BY: credit must be given to the creator. NC: Only noncommercial uses of the work are permitted. SA: Adaptations must be shared under the same terms. Please let me know. dannyhealthhats@gmail.com Material on this site created by others is theirs, and use follows their guidelines. Disclaimer The views and opinions presented in this podcast and publication are solely my responsibility and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute® (PCORI®), its Board of Governors, or Methodology Committee. Danny van Leeuwen (Health Hats)
Superhuman Mail users respond to 72% more emails per hour and save an average of four hours every week — numbers backed by a case study from one of the Big Three strategy consulting firms. Rahul Vohra, CEO at Superhuman Mail, built the world's fastest email engine over three years without launching, held the line until the product was ready, and then productized product-market fit into a repeatable, measurable science. Following Superhuman's acquisition by Grammarly in 2025, Rahul is now steering the company toward a unified AI-native productivity suite spanning email, calendar, tasks, and agents.What you'll learn:The 5-step PMF Engine: how to survey, segment, analyze, implement, and track your way to product-market fit with a numerical scoreWhy you should ignore the not disappointed and most somewhat disappointed users — and which signals actually tell you who to build forHow to use the High Expectation Customer (HXC) framework to narrow your market without changing your productWhy PMF is a moving target and how to defend it against commoditization and copy-cat competitionHow Rahul operates as the editor of the product — using 20 verbatim quotes to push PMs and designers to sharper decisionsKey takeaways:If more than 40% of your users would be very disappointed without your product, you have an initial PMF — and you can measure your way thereChanging your market is faster than changing your product — segmentation alone can jump your PMF score 10 points overnightBuilding for your highest-expectation customer is not the same as building for your ICP — confuse the two, and you'll optimize for the wrong signalCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Rahul VohraSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here
Noam Lovinsky is the CPO of Superhuman, formerly a product leader at YouTube and Meta. In this episode from Product Faculty AI CXO Podcast, Noam breaks down what it actually takes to build an AI-native organization, and why most companies are getting it completely wrong. We cover the Grammarly to Superhuman rebrand, how you trade 16 years of brand equity for a bigger bet, what "model to pixel" execution really means at 100 billion LLM calls a week, and why Noam now requires every candidate to demo AI live in their interview. This is not a conversation about AI tools. It's about what fundamentally changes when the cost of execution heads toward zero, and what that means for every leader, PM, and builder right now. What we cover: - The #1 mistake companies make when rolling out AI top-down - Why every PM on Noam's team is expected to push code to production - How Superhuman restructured hiring around live AI fluency - What a world-class PM does that AI still cannot - The one thing Noam would tell every executive in the world right now - Why long-term planning is the first mental model you need to throw out Who this is for: Founders, C-suite executives, product leaders, and ecommerce operators trying to understand what AI agents mean for their business right now. Subscribe for weekly conversations with top executives navigating the AI era. https://www.youtube.com/@productfaculty #ShopifyAI #AgenticCommerce #AIAgents #FutureOfEcommerce #AIShoppingAgents #Shopify #EcommerceStrategy #AICXOPodcast #AIForBusiness #ProductLeadership #CommerceProtocol #USDC #CryptoPayments #AIRetail #ManiShopify
We are officially entering the "Multi-AI Era." Much like the multi-cloud times, organizations are no longer just using a single AI tool like Microsoft Copilot, they are building custom, agentic workflows using diverse third-party models and MCP servers . In this episode, Ashish sits down with Shawn Hays from Varonis to discuss why the security market has over-pivoted on AISPM (AI Security Posture Management) . Shawn spoke about how having visibility and an inventory of your AI models is a great start, but it fails to secure the enterprise if you lack the guardrails to actually stop an agent from going off the rails and exfiltrating data . Shawn breaks down the components of a robust AI security platform (like Varonis Atlas) and explains why data security is inseparable from AI security. He spoke about why AI agents will blindly "read whatever is on the teleprompter," meaning your AI is only as secure as the data access and identity controls surrounding it . Tune in to learn how to apply Zero Trust across the entire AI chain from the prompter to the cloud infrastructure Guest Socials - Shawn's Linkedin Podcast Twitter - @CloudSecPod If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-Cloud Security Podcast- Youtube- Cloud Security Newsletter If you are interested in AI Security, you can check out our sister podcast - AI Security PodcastQuestions asked:(00:00) Introduction(02:50) Shawn's Background: Microsoft, CMMC, and Varonis (03:50) The Biggest AI Security Challenges (Copilot to Agentic AI) (05:50) Third-Party AI Risk (Jira and Salesforce Agents) (08:40) The Connector Ecosystem Danger (Copilot + Salesforce) (11:50) 8 Distinct Areas of an AI Security Platform (Varonis Atlas) (14:00) Entering the "Multi-AI Era" (Analogies to Multi-Cloud) (16:00) The AI Bill of Materials (Athena AI & Grammarly) (20:50) Why Data Security and AI Security are Intertwined (22:00) Applying Zero Trust to the Entire AI Chain (24:50) The Role of Identity and ITDR in AI Systems (27:00) HIPAA, OCR, and Regulating AI Data Access (31:30) Creating a Governance Plan for Microsoft Copilot (33:50) Securing Pro-Code AI Systems (AWS Bedrock & MCP Servers) (38:30) Why the Security Market is Over-Pivoting on AISPM (44:10) The "Ron Burgundy" Analogy for AI Agents (45:50) Fun Questions: Crocodile & Caramel Tasting (47:20) The Ed Sheeran & Yelawolf Mixtape Connection (48:50) Hobbies & Pride: DJing Weddings and Playing Ice Hockey in Alabama (51:50) Favorite Food: Alabama White Sauce BBQ & Milo's BurgersResources spoken about during the episode:Varonis Atlas
Warsh won't say Trump lost in 2020, won't name one policy he disagrees with, and can't explain what 1% rates would do. This is our next Fed Chair.This episode is sponsored by InvestingPRO. Get 55% off + an EXTRA 15% off with my code PETERSCHIFF at checkout! Sign up: https://www.investing-referral.com/peterschiff/This episode is also sponsored by Outskill. Bonuses worth $5100+ if you join and attend. Grab your free seat to the 2-Day AI Mastermind: https://link.outskill.com/PETERSCHIFFAP4Donald Trump's Fed Chair nominee Kevin Warsh spent two hours dodging every meaningful question in his Senate confirmation hearing, and Peter Schiff watched the whole thing so you didn't have to. Warsh refused to say whether Trump lost the 2020 election, wouldn't name a single Trump policy he disagreed with, and couldn't answer the obvious question of what 1% interest rates would do to consumer prices — even though he'd already admitted inflation comes from government spending and money printing.Before breaking down the hearing, Schiff delivers a history of the Federal Reserve that most economics PhDs have never learned: why the Fed was created as a private bank to issue superior banknotes backed by 40% gold, how the original act prohibited the Fed from owning treasuries, and how World War I opened the door to everything wrong with monetary policy today. He also takes aim at MicroStrategy's Strategy preferred stock as a textbook Ponzi scheme — Saylor can only pay the 11.5% yield by selling new shares, and the fine print lets him stop paying whenever he wants.Chapters:00:00 Cold Open and Intro00:57 Warsh Nomination Stakes02:34 InvestingPro Sponsor Demo07:32 Why Fed History Matters08:08 Before the Fed Era11:12 Fed Independence and Constitution14:00 Superior Banknotes Explained17:40 Outskill Sponsor Break21:47 Elastic Money Supply Myth25:49 War Finance and Treasuries32:16 Hearing Reactions Begin33:05 Trump Spending And Inflation34:02 Warren Attacks And Rate Cuts35:17 Warsh Denies Being Puppet36:34 Fed Praise And Wealth38:16 Price Stability Redefined41:15 Dodging Trump Questions43:45 One Percent Rates And QE46:06 Inflation Tax And Deficits47:00 Fed Chair And The Dollar49:54 No CBDC Crypto Pandering50:46 MicroStrategy Ponzi Rant54:20 Lawyer Evasions And Politics57:34 Warsh Verdict And Gold Pitch01:02:11 Final Wrap And SignoffFollow @peterschiffX: https://twitter.com/peterschiffInstagram: https://instagram.com/peterschiffTikTok: https://tiktok.com/@peterschiffofficialFacebook: https://facebook.com/peterschiffFree Reports & Market Updates: https://www.europac.comBook Store: https://schiffradio.com/booksSign up for Peter's most valuable insights at https://schiffsovereign.comSchiff Gold News: https://www.schiffgold.com/news#PeterSchiffShow #FedChair #KevinWarshOur Sponsors:* Check out Fast Growing Trees and use my code GOLD for a great deal: https://www.fast-growing-trees.com* Check out GhostBed: https://ghostbed.com/PETER* Check out Grammarly: https://grammarly.com* Check out Quince: https://quince.com/GOLD* Check out TruDiagnostic and use my code GOLD20 for a great deal: https://www.trudiagnostic.comPrivacy & Opt-Out: https://redcircle.com/privacy
Hank Paulson warns of a "vicious" debt crisis — but his only plan is to brace for it, not prevent it. That tells you everything.This episode is sponsored by HIMS. Visit https://hims.com/gold to get a personalized, affordable plan that gets youThis episode is also sponsored by NetSuite. Download Netsuite's free business guide, Demystifying AI, at https://netsuite.com/goldFormer Treasury Secretary Hank Paulson is warning about a "vicious" sovereign debt crisis and urging a break-the-glass emergency plan — but Peter Schiff points out that Paulson himself architected the bailouts and QE policies that made this crisis inevitable, and his only advice now is to prepare for the crash rather than prevent it.Markets hit record highs this week with the Nasdaq up 7% on ceasefire optimism and oil dropping to $83, but Schiff warns the rally is built on the false premise that peace means rate cuts. The Fed's balance sheet has quietly grown over $200 billion in 2026 while M2 money supply expands at 5% year-over-year. Meanwhile, NYC Mayor Manda proposes city-owned grocery stores and taxes on non-resident condos — policies Schiff dismantles as the kind of anti-capitalist thinking that drives wealth creators to places like Panama, which is rolling out the welcome mat for every entrepreneur New York chases away.Chapters:00:00 Show Cold Open00:57 Live From Puerto Rico01:59 War Headlines Fuel Rally04:12 Bitcoin Gold Silver Check07:07 Fed Policy And Real Rates08:54 Producer Prices Reality Check11:09 Paulson Warns Debt Crisis19:09 Panama Versus New York Taxes22:21 How Wealth Gets Created25:42 Fair Share And Job Creation30:03 Wealth Creation Backlash31:52 City Owned Grocery Plan34:11 Profit Motive And Prices39:18 Subsidies And Market Damage43:25 Farm Subsidies And USSR45:36 Taxing Nonresident Condos51:06 Why Profit Builds Cities51:59 Property Tax Critique59:44 Closing Markets And GoldFollow @peterschiffX: https://twitter.com/peterschiffInstagram: https://instagram.com/peterschiffTikTok: https://tiktok.com/@peterschiffofficialFacebook: https://facebook.com/peterschiffFree Reports & Market Updates: https://www.europac.comBook Store: https://schiffradio.com/booksSign up for Peter's most valuable insights at https://schiffsovereign.comSchiff Gold News: https://www.schiffgold.com/news#PeterSchiffShow #DebtCrisis #GoldInvestingOur Sponsors:* Check out Fast Growing Trees and use my code GOLD for a great deal: https://www.fast-growing-trees.com* Check out GhostBed: https://ghostbed.com/PETER* Check out Grammarly: https://grammarly.com* Check out Quince: https://quince.com/GOLD* Check out TruDiagnostic and use my code GOLD20 for a great deal: https://www.trudiagnostic.comPrivacy & Opt-Out: https://redcircle.com/privacy
Participatory governance in healthcare means asking the right people the right questions. Three stories where listening as leadership changed everything. Summary This episode is about listening as leadership — the gap between where knowledge lives and where decisions get made, and what it costs when we pretend that gap doesn’t exist. Three stories from my career as a nurse manager, quality director, and VP — three moments where participatory governance in healthcare produced the same result: a no to the status quo. Not a radical no. An obvious one. Obvious, that is, once someone finally asked the people living inside the system. Topics covered: Open visiting hours in the ICU — and what happened when staff pushed back Seven therapy visits, no prior authorization required — and what happened when the company was acquired A disability services resident on a board of directors — and the simple fix that improved every patient experience metric Why participatory governance is the fastest, cheapest diagnostic tool most health system leaders never use The honest difference between patient advisory boards and actually sharing power with patients What patient-centered care looks like when it moves beyond consultation into real shared decision making Click here to view the printable newsletter. More readable than a transcript. Contents Table of Contents Toggle EpisodeProemPart 1: ICU Doors OpenPart 2: Seven Visits, No Questions AskedPart 3: The Right to Say GoodbyeSynthesis: What's Common Across All ThreeReflection Podcast episode on YouTube Episode Proem I’ve spent most of my career in institutions, hospitals, managed care companies, and disability services agencies. These are large, slow-moving systems with their own inertia, logic, and knack for designing processes that work best for billing, and not so well for those receiving or providing services. I should know. I’ve been inside these systems as a clinician, boss, consultant, caregiver, and patient. The boldest changes I was part of didn’t come from a consultant’s report. They didn’t come from a board retreat or a leaders' strategic planning day off-site — though, Lord knows, I’ve sat through plenty of those. They came from the moment when someone, usually someone with very little institutional power, said: This doesn’t work. It’s hurting us. The hardest part wasn’t hearing that. The hardest part was finding the gumption to act. Institutions are good at explaining why things are the way they are. They have binders of policies for that. My secret as a consultant was embarrassingly simple: the people who hired me already had the answers they needed. The nurse who’d been there fifteen years knew. The member who couldn’t get her calls returned knew. I sought them out, listened, and translated their words into a PowerPoint that the boardroom could hear. I want to tell you about three times I got it right. Three moments when the change that mattered was a no. No to visiting hours that kept families from the people they loved. No to a prior authorization process that treated patients and clinicians like suspects and required an army to administer that suspicion. No to a system that let care aides disappear from people’s lives without warning or goodbye, as if the people whose lives they were in didn’t deserve a heads-up. None of these nos were mine originally. I heard them from a family pacing a waiting room, from a member who couldn’t get the help she needed, and from a man with a disability who sat on our board and told us, plainly, what it felt like to wake up one day to find that someone essential to his life was simply gone. Participatory governance sounds like it belongs in a policy manual, right between stakeholder alignment and learning organization. When participatory governance works, it's permission. Permission for the people living and working within a system to tell the truth about it. And the willingness, on the part of whoever’s in charge, to let that truth land. Even when it’s inconvenient. Especially then. Part 1: ICU Doors Open My first experience as a boss was as an ICU nurse manager, a job I got, I should mention, without ever having worked in an ICU or having been a boss. A story for another day. The honeymoon was short. Strictly prescribed visiting hours, ninety minutes in the morning, ninety in the evening, were leaving families miserable. I could see it. They could feel it. In collaboration with my bosses, the ICU medical director, and the chief nurse, I eliminated visiting-hour limits entirely. My staff, who had recruited me for the role, now deeply regretted it. I hadn’t consulted them or thought through the workflow implications. They were furious, and they weren’t wrong to be. But we kept the visiting hours open. Over time, something shifted. I learned how to be a boss. Nurses learned to include families in care and treatment. Patients and families arrived home better prepared. Physicians, for their part, didn’t much care either way. The lesson I learned: this was a story about control. Mine, the nurses’, and ultimately the families’. We eventually set up an informal patient and family advisory group, not because I had planned to, but because we needed them in the room. Part 2: Seven Visits, No Questions Asked My job title was Director of Quality at a behavioral health managed care company. If you’ve spent any time in managed care, you know what that means: Director of Trying to Get an A+ in Every Measure, Whether It Has Meaning or Not. Prior authorization was the centerpiece. A member needs therapy. Their provider submits a request. Someone on our end reviews it, approves or denies it, requests more information, waits, and follows up. The member waits. The provider waits. And somewhere in all that waiting, the person who needed help either got it, gave up, or got worse. I inherited this process. I did not invent it. My boss and I set up an advisory group with members on one side and providers on the other. We asked about their experiences with our company. They were not subtle. Members said the pre-auth process made them feel they had to prove they deserved care. Providers said the company’s default assumption was that they were lying. Neither response was a ringing endorsement. So, we experimented: seven visits, upon request. No authorization required. If a member or their provider asks, they get them. No forms, no review, no waiting. The result: outcomes held. Members received care faster. Providers stopped spending half their administrative time on the phone with us. And our call center, the engine room of the prior authorization machine, grew quieter. Then quieter still. A substantial portion of our staff spent all day managing a process that, in large part, was designed to manage itself. Strip it out, and you didn’t need nearly as many people to run it. The bureaucracy wasn’t protecting anyone. It was the cost. We had real data. Member satisfaction trended up. Providers, for the first time in recent memory, said something positive about the company. The advisory group had surfaced a truth that no quality metric had found, because no quality metric had asked the right people the right question. Then the company was acquired. New owners, new priorities, no appetite for any of this. The program was terminated, and the advisory group disbanded. I can only assume the prior authorization process resumed its proud tradition of making everyone miserable in the name of oversight. I learned that participatory governance surfaces the truth faster than most quality improvement methodologies I’ve encountered. But institutions don’t always want the truth. Sometimes they want the process. The process is familiar. It distributes responsibility. It means nobody has to decide. The advisory group uncovered a truth. It turned out that the people who bought the company got a veto. Part 3: The Right to Say Goodbye There’s a particular kind of organizational meeting where everyone knows something is wrong, the data is right there on the slides, and somehow the conversation goes nowhere. Lots of nodding. Lots of concern. Lots of commitment to further analysis. I worked as VP of Quality at an organization supporting forty thousand people with disabilities, many of them living in group homes, relying on personal care aides for the most intimate parts of daily life. Getting dressed. Eating. Toileting. Moving through the world. At my first Board meeting, we reviewed satisfaction survey results, which were poor. They were not nuanced, requiring careful interpretation. They told us something was bad. And we were doing what organizations do: analyzing, discussing, and scheduling follow-up meetings to review the analysis. We were not asking the people who lived there. The agency was committed to resident/patient participation in governance committees, including the Board; in this case, a resident of one of our group homes served on the Board. Not as a symbol. As a Board member. At one of these meetings, in the middle of what was shaping up to be another productive session of collective concern, he said something that stopped the room. He said: People leave without warning. A personal care aide, someone who helps you start each day, who knows how you take your coffee, which jokes make you laugh, and how you like your blanket folded, is just gone one morning. No notice. No goodbye. Someone new shows up, and you’re expected to adjust. He said it plainly, not as an accusation but as a fact. He apparently assumed, incorrectly, that we already knew. We didn’t. Or rather, someone knew. The people living in the homes knew. The aides probably knew. It just hadn’t made it into the meeting room until he put it there. The fix was insultingly simple. When an aide left, for any reason, residents would be told in advance. A chance to say goodbye. A proper introduction to whoever came next, rather than a key, an address, and good luck. That was the intervention. Advance notice, a goodbye, a hello — the basic courtesies we’d extend to anyone, anywhere, in any other context. Survey results improved dramatically in the next cycle. Not in one or two categories. Across the board. Because what was wrong wasn’t a program or a resource allocation. It was that the people living inside the system had been treated as though their experience of it didn’t count as information. The lesson I carry from that room is the simplest I know: the person living inside the system always knows. They know what’s breaking, what would fix it, and they’ve usually been waiting, sometimes for years, for someone to ask. You just have to put them in the room and believe them when they speak. The keyword is just. Just assumes a lot. Synthesis: What's Common Across All Three Three organizations. Three populations. Three problems, unresolved within systems staffed by smart, well-meaning people. In every case, the answer was already there. It lived in the wrong room. I want to be honest about something. Looking back, only one of these three was truly participatory governance: the man in the group home who served on our board. The ICU families and advisory group members had real influence but no structural authority. They could inform decisions, but they couldn’t stop them. That distinction matters, and I don’t want to paper over it. What they all shared was something simpler yet harder than governance design: someone with institutional power chose to ask, then chose to act on what they heard. The families pacing the ICU waiting room knew visiting hours weren’t protecting patients; they were protecting the unit’s sense of order. The members and providers in that behavioral health advisory group knew prior authorization wasn’t ensuring quality; it was ensuring paperwork. The man on our board knew what was breaking down wasn’t resources or staffing ratios. It was the simple human expectation of a goodbye. None of them needed a consultant. They needed someone with enough authority to ask the question and enough humility to sit with the answer. Here’s what I’ve come to believe: participatory governance, done seriously, is the fastest and cheapest diagnostic tool any leader has. Faster than a consultant. Cheaper than a task force. More accurate than a satisfaction survey that asks the wrong questions of the right people and calls it listening. The nos in these stories weren’t radical. They were obvious, embarrassingly obvious, once you asked the people who already knew. What made them feel radical was the gap between where the knowledge lived and where decisions were made. That gap has a name. Several, actually. We call it hierarchy, liability, chain of command, and expertise — the comfortable assumption that the people at the top understand a system better than those inside it every day. Sometimes that’s true. Often it isn’t. And the cost of acting as though it’s always true is borne by those with the least power to push back. The anxious family in the hallway. The member who couldn’t get through. The man in the group home who, generously, assumed we already knew what he was about to tell us. They were the experts. We had the org chart. Reflection Honestly, I’m proud of these three stories, but I’m not sure I deserve much credit. In each case, the hard work, the observing, the enduring, the knowing, was done by someone else. A family pacing a hallway. A patient who kept calling back. A man who showed up for board meetings and told the truth to a room that had been avoiding it. I contributed a willingness to ask and enough positional authority to act on what I heard. I'm struck by how long those answers had been waiting. The ICU families weren’t new. Frustration with prior auth wasn’t a surprise to anyone who’d navigated it. How long had group home residents been losing people without warning? Nobody seemed to know exactly, long enough that it had stopped registering as a problem and had started registering as just the way things were. That’s the part I can’t shake: the way systems normalize their own failures. The way this is how we do it becomes indistinguishable from this is the only way it can be done. And the people most hurt by that confusion are usually the least positioned to correct it. I got lucky. Three times, I was in the right seat, and the right person was willing to tell me what I needed to hear. Not every leader gets that, and not every leader goes looking for it. The question I’d leave you with — the one I still ask whenever I walk into a new system, a new organization, or any room where decisions are being made about people who aren’t present: Who already knows the answer? And what would it take to let them say it out loud? If you’ve been in that room — where someone finally said the quiet part and the right no was finally spoken — I want to hear about it. Find me at dannyhealthhats@gmail.com. Tell me your version. I promise you: it’s better than you think. And someone out there needs to hear it. Please comment and ask questions: at the comment section at the bottom of the show notes on LinkedIn via email YouTube channel DM on Instagram, TikTok to @healthhats Substack Patreon Production Team Kayla Nelson: Web and Social Media Coach, Dissemination, Help Desk Leon van Leeuwen: editing and site management Oscar van Leeuwen: video editing Julia Higgins: Digit marketing therapy Steve Heatherington: Help Desk and podcast production counseling Joey van Leeuwen, Drummer, Composer, and Arranger, provided the music for the intro, outro, proem, and reflection Claude, Perplexity, Auphonic, Descript, Grammarly, DaVinci Inspired by and Grateful to: Jan Oldenburg, Laura Marcial, Ronda Alexander, Libby Hoy, Lacy Fabian, James Harrison Photo Credits NASA Referenced in episode Related episodes from Health Hats https://health-hats.com/patient-family-advisors-back-2-basics/ https://health-hats.com/teachable-spirit-patient-family-advisors/ https://health-hats.com/pod237/ Artificial Intelligence in Podcast Production Health Hats, the Podcast, utilizes AI tools for production tasks such as editing, transcription, and content suggestions. While AI assists with various aspects, including image creation, most AI suggestions are modified. All creative decisions remain my own, with AI sources referenced as usual. Questions are welcome. Creative Commons Licensing CC BY-NC-SA This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-NC-SA includes the following elements: BY: credit must be given to the creator. NC: Only noncommercial uses of the work are permitted. SA: Adaptations must be shared under the same terms. Please let me know. dannyhealthhats@gmail.com Material on this site created by others is theirs, and use follows their guidelines. Disclaimer The views and opinions presented in this podcast and publication are solely my responsibility and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute® (PCORI®), its Board of Governors, or Methodology Committee. Danny van Leeuwen (Health Hats)
Welcome back to The Viall Files: Reality Recap! Maybe you believe in manifesting, maybe you don't, but we definitely manifested this one: Beverly Hills money queen Amanda Frances joins the show. We get into behind-the-scenes Housewives tea, what manifesting actually looks like in real life, and how she built her empire after surviving a cult. We've heard from a tempter, now it's time for the temptresses. Carter and Jesenia from Temptation Island are here and ready to spill. Plus, and of course an update on West and Amanda. Oh yeah, this episode is jammed packed. "I wasn't trying to make a tv show, I was trying to be who I am." The Viall Files is going LIVE with the new cast of Temptation Island on May 4th! Tickets are on sale NOW! For more information, please visit netflixisajokefest.com. Want ad free episodes and incredible bonus content? Start your 7 Day Free Trial of Viall Files + here: https://viallfiles.supportingcast.fm/ HEY! YOU! DO YOU NEED DATING AND RELATIONSHIP ADVICE? Email asknick@theviallfiles.com and be a part of future Ask Nick episodes! Subscribe to The ENVY Media Newsletter Today: https://www.viallfiles.com/newsletter Listen to Humble Brag with Cynthia Bailey and Crystal Kung Minkoff now! Listen on Apple: https://podcasts.apple.com/us/podcast/humble-brag-with-crystal-and-cynthia/id1774298881 Listen on Spotify: https://open.spotify.com/show/4NWA8LBk15l2u5tNQqDcOO?si=3b868996930347e8 Watch on YouTube: https://www.youtube.com/@humblebragpod Listen To Disrespectfully with Katie Maloney and Dayna Kathan now! Listen on Apple: https://podcasts.apple.com/us/podcast/disrespectfully/id1516710301 Listen on Spotify: https://open.spotify.com/show/0J6DW1KeDX6SpoVEuQpl7z?si=c35995a56b8d4038 Watch on YouTube: https://www.youtube.com/channel/UCCh8MqSsiGkfJcWhkan0D0w To Order Nick's Book and/or learn more about the show, go to: https://viallfiles.com THANK YOU TO OUR SPONSORS: American Home Shield - Listeners can get 20% off select plans today! Just visit https://ahs.com/viallfiles to sign up. See https://ahs.com/contracts for coverage details, including service fees, limitations and exclusions. Grammarly - In a world of generic AI, don't sound like everyone else. With Grammarly, you never will. Download Grammarly for free at https://Grammarly.com Nature's Sunshine - Get a daily detox with Chlorophyll Stick Packs. Nature's Sunshine is offering 20% off your first order plus free shipping. Go to https://naturessunshine.com and use the code VIALL at checkout. Upside - Upside has given back $1 Billion dollars to its users. To find out how much you could earn, Download the FREE Upside App and use promo code VIALL to get an extra 25 cents back for every gallon on your first tank of gas. Merit Beauty - Right now, Merit Beauty is offering our listeners their Signature Makeup Bag with your first order at https://meritbeauty.com Quo - Make this the season where no opportunity — and no customer — slips away. Try QUO for free PLUS get 20% off your first 6 months when you go to https://Quo.com/viall To advertise on this podcast please email: ad-sales@libsyn.com or go to: https://advertising.libsyn.com/theviallfiles Timestamps: 00:00 - Intro 26:28 - Carter and Jesenia Join 44:32 - Amanda Frances Joins 1:43:09 - Outro Episode Socials: @viallfiles @nickviall @nnataliejjoy @xoamandafrances @tseniaax3 @cartererin19 @the_mare_bare @justinkaphillips @leahgsilberstein @izeweaver
CPI triples to 0.9%, consumer sentiment hits an all-time low, and the Fed is quietly running QE — stagflation isn't coming, it's here.Gold ended the week at $4,745 with silver at $75.76 and mining stocks up 5%, all buoyed by the Taco Tuesday ceasefire that sent markets surging mid-week. Peter Schiff argues the ceasefire is a win for Iran and that Trump was looking for a way out of threats he could never carry out — but the real story is the inflation data.March CPI came in at 0.9% month-over-month, tripling February's reading and pushing year-over-year inflation to 3.3%. The Fed's balance sheet has quietly expanded by nearly $200 billion in 2026 — quantitative easing in everything but name. Q4 GDP was revised down to 0.5%, making 2025's full-year growth just 2.1% — lower than any year under Biden. Consumer sentiment plunged to 47.6, the lowest reading in the history of the survey. Schiff connects the dots: M2 money supply growing at 5%, a proposed 50% defense budget increase, and a Fed that will be forced to cut rates regardless of inflation all point to a stagflation environment where gold and silver are headed substantially higher.Chapters:00:00 Ceasefire and Market Mood15:20 Inflation Data and Fed QE23:14 Inflation Not The War38:46 Stagflation Bull CaseFollow @peterschiffX: https://twitter.com/peterschiffInstagram: https://instagram.com/peterschiffTikTok: https://tiktok.com/@peterschiffofficialFacebook: https://facebook.com/peterschiffGet more gold & silver now: https://www.schiffgold.com1-888-GOLD-160 (465-3160)Open a T Gold account: https://www.tgold.comOpen a managed account: https://europac.comListen to The Peter Schiff Show: https://schiffradio.comFollow the main channel: https://youtube.com/peterschiff#PeterSchiffShow #Stagflation #GoldInvestingOur Sponsors:* Check out Fast Growing Trees and use my code GOLD for a great deal: https://www.fast-growing-trees.com* Check out GhostBed: https://ghostbed.com/PETER* Check out Grammarly: https://grammarly.com* Check out Quince: https://quince.com/GOLD* Check out TruDiagnostic and use my code GOLD20 for a great deal: https://www.trudiagnostic.comPrivacy & Opt-Out: https://redcircle.com/privacy
Trump threatened to destroy Iran's civilization by 8pm — instead he got a ceasefire that concedes nothing. The threats were always empty. • This episode is sponsored by Odoo. Sign up for free at https://www.odoo.com/r/izNK • Today's podcast is also sponsored by West Red Lake Gold Mines. Ticker WRLGFTrump's Tuesday deadline to destroy Iran's civilization came and went with a Pakistan-brokered ceasefire instead of the promised hellfire. Peter Schiff breaks down how the president's escalating threats — from bombing bridges and power plants to wiping out an entire civilization — collapsed into a two-week truce that concedes nothing from Iran's side.Markets swung wildly on the drama: the Dow dropped 400 points intraday before rallying nearly 1,000 points on ceasefire news, oil cratered 15.5% back to $95 after touching $115, and gold surged $60 despite the supposed "peace" — proving the market is trading the Fed, not the war. Schiff argues rate cuts are coming regardless of inflation, that oil will never return to $60, and that the dollar's reserve currency status is being actively dismantled as countries like France pull gold from U.S. custody. He also reveals the IRS is refusing to comply with a federal judge's FOIA ruling ordering release of documents from the Euro Pacific Bank investigation.Chapters:00:00 Show Intro00:55 Trump Deadline Drama05:33 Markets Call the Bluff08:32 Pakistan Ceasefire Rumors12:22 Trump Two Week Pause16:20 Iran Ceasefire Terms19:15 Iran Statement Readout22:19 Civilian Targeting Critique29:01 Dollar Power and Blowback32:05 Scaling Gold Production32:52 Gold Moves on Rate Cuts35:14 Oil Prices vs Real Inflation37:32 War Risk Premium Sticks40:53 Weak Data and CPI Ahead44:57 Polls Signal Economic Pain50:49 Ditch Dollars Buy Metals52:44 Mining Stocks Next Leg55:33 FOIA Win IRS Fights Back01:03:29 Transparency Battle Wrap UpFollow @peterschiffX: https://twitter.com/peterschiffInstagram: https://instagram.com/peterschiffTikTok: https://tiktok.com/@peterschiffofficialFacebook: https://facebook.com/peterschiffFree Reports & Market Updates: https://www.europac.comBook Store: https://schiffradio.com/booksSign up for Peter's most valuable insights at https://schiffsovereign.comSchiff Gold News: https://www.schiffgold.com/news#PeterSchiffShow #IranCeasefire #GoldInvestingOur Sponsors:* Check out Fast Growing Trees and use my code GOLD for a great deal: https://www.fast-growing-trees.com* Check out GhostBed: https://ghostbed.com/PETER* Check out Grammarly: https://grammarly.com* Check out Quince: https://quince.com/GOLD* Check out TruDiagnostic and use my code GOLD20 for a great deal: https://www.trudiagnostic.comPrivacy & Opt-Out: https://redcircle.com/privacy
Whatever your message, the manner in which you deliver it is just as important.You found the right words. You picked the right time to say them. You even tailored them to your audience. Why did your message fall flat? “It's your tone,” says Jefferson Fisher.Fisher is a trial attorney, New York Times bestselling author, podcast host, and one of the most-followed experts in communication today. From handling high-stakes communication in the courtroom to navigating everyday conversations, he says successful messaging isn't just about what you say, but how you say it. “It's not your words, it's your tone,” he says, “The words might be right, but the way you [say them] — that's what ends up controlling the day. Tone controls everything.”In this episode of Think Fast, Talk Smart, Fisher and host Matt Abrahams explore how to set the right tone in all kinds of communication. Whether you're navigating conflict, giving and receiving feedback, or just trying to connect, Fisher offers practical techniques for ensuring the manner of your communication matches what you mean.Episode Reference Links:Jefferson FisherJefferson's Book: The Next Conversation WorkbookJefferson's Podcast: The Jefferson Fisher PodcastEp.228 Negotiate Your Way to Success: Empathy, Mirroring, and Labeling Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:28) - Stop Winning Arguments (04:02) - Ask, Don't Persuade (04:33) - Defuse Tension Fast (05:40) - Read the Room (07:36) - Observing vs. Absorbing (09:08) - Framing Conversations (11:21) - Fix Digital Communication (13:01) - Improve Your Tone (15:53) - Break People-Pleasing (17:18) - Setting Clear Boundaries (20:54) - The Final Three Questions (23:55) - Conclusion ********Thank you to our sponsors. These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.This episode is sponsored by Grammarly. Let Grammarly take the busywork off your plate so you can focus on high-impact work. Download Grammarly for free today Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.
Oil hits $112 as Trump vows to bomb Iran into the Stone Age — and the jobs data everyone's celebrating is hiding a collapsing labor market. • Today's podcasts is sponsored by Pebl. Go to http://hipebl.ai to get a free estimate. • Today's podcast is also sponsored by West Red Lake Gold Mines. Ticker WRLGFPeter Schiff records from the British Virgin Islands, breaking down the latest economic data against the backdrop of the escalating Iran war. The March jobs report showed 178,000 jobs added — well above the 51,000 estimate — but Schiff argues the number is misleading, noting that 43% of new jobs were in healthcare, a sign of a sicker nation rather than a stronger economy. He highlights the weakest wage growth in five years at 3.5% year-over-year and the lowest labor force participation in five years at 61.9%.Oil prices surged to $112 per barrel amid Trump's pledge to "bomb Iran back to the Stone Age" over the next two to three weeks, with the service sector PMI falling into contraction at 49.8. Schiff warns that stagflation is now undeniable and that oil-driven inflation will force massive government spending and money printing, ultimately crushing the dollar and sending gold well above $5,000. He criticizes Trump's economic lies, the Supreme Court's ruling striking down Liberation Day tariffs as unconstitutional, Warren Buffett's Fed praise, and growing redemption freezes across investment funds as signs of a brewing financial crisis.Chapters:00:00 Cold Open and Intro00:54 Vacation Setup and Holiday Markets01:52 March Jobs Report Breakdown06:44 Stagflation Signals in PMI and JOLTS08:53 Oil Spike and Fed Policy Link17:02 Weekly Market Wrap Gold Silver Miners21:33 Trump Speech War Escalation Fears30:18 Aftermath Leaving Strait to Allies32:27 NATO Exit Debate33:39 Dollar Risks and Metals34:11 Springsteen Boycott Rant36:27 Liberation Day Reality Check37:47 Tariffs Ruled Unconstitutional40:52 Funds Freeze Redemptions43:39 Buffett on Inflation Targets47:05 Fed Enabled Covid Policy51:31 Trump Polls and Midterms57:55 Prepare and Buy Gold01:00:30 Podcast Wrap and TravelFollow @peterschiffX: https://twitter.com/peterschiffInstagram: https://instagram.com/peterschiffTikTok: https://tiktok.com/@peterschiffofficialFacebook: https://facebook.com/peterschiffFree Reports & Market Updates: https://www.europac.comBook Store: https://schiffradio.com/booksSign up for Peter's most valuable insights at https://schiffsovereign.comSchiff Gold News: https://www.schiffgold.com/news#PeterSchiffShow #OilPriceSurge #GoldInvestingOur Sponsors:* Check out Fast Growing Trees and use my code GOLD for a great deal: https://www.fast-growing-trees.com* Check out GhostBed: https://ghostbed.com/PETER* Check out Grammarly: https://grammarly.com* Check out Quince: https://quince.com/GOLD* Check out TruDiagnostic and use my code GOLD20 for a great deal: https://www.trudiagnostic.comPrivacy & Opt-Out: https://redcircle.com/privacy
Real change isn't about knowing what to do — it's about actually doing it, one small choice at a time.Change doesn't come from one big breakthrough. It comes from the small choices we make over and over — often in moments we barely notice.Eric Zimmer, behavior coach, host of The One You Feed podcast, and author of How A Little Becomes A Lot, says the real challenge isn't figuring out what to do — it's closing the gap between knowing and doing. “We all have areas where we know exactly what would help,” he says. “But somehow, we still don't follow through.” His approach focuses on something simpler and more effective: small, low-resistance actions done consistently over time. “It's not about doing everything,” Zimmer explains. “It's about doing something — again and again — in the same direction.”In this episode of Think Fast, Talk Smart, Zimmer joins host Matt Abrahams to unpack how lasting change actually happens. From building awareness in the middle of everyday life to designing habits that are easier to stick with, he shares practical strategies for turning intention into action. “You don't need to wait until you feel ready,” he says. “You can act even when it's uncomfortable.”Episode Reference Links:Eric ZimmerEric's Book: How a Little Becomes a LotEric's Podcast: The One You FeedEp.86 Building Habits: The Key to Lasting Behavior Change Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:24) - From Addiction to Transformation (03:34) - The “Two Wolves” Parable (05:19) - Awareness in Communication (06:53) - Building Awareness Through Small Habits (08:47) - The Knowing–Doing Gap (10:11) - The SPAR Framework (13:46) - Motivation vs. Action (18:31) - The Final Three Questions (23:58) - Conclusion ********Thank you to our sponsors. These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.This episode is sponsored by Grammarly. Let Grammarly take the busywork off your plate so you can focus on high-impact work. Download Grammarly for free today Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.
The goals we set often lead us away from the meaning we ultimately seek.Meaning in life isn't a concrete point we can route toward. That's why we need what Arthur Brooks calls “proxy goals” — and much better ones than we typically choose.Brooks, a professor at Harvard Business School and author of The Meaning of Your Life: Finding Purpose in an Age of Emptiness, says that meaning can't be pursued directly, but rather through proxy goals — markers that lead us to what we're really seeking. “The big, complex, meaning-filled things in life, you can't see them directly,” he says. “If you want to find meaning, you have to have proxy goals.” The problem is that many of us have chosen terrible proxies. “Money, power, pleasure, fame, prestige; those are really bad proxy goals for the meaning of life,” Brooks says. “You're never gonna find it.”In this episode of Think Fast, Talk Smart, Brooks returns to the show, and with host Matt Abrahams, he explores how we can move from searching for meaning to actually finding it. From understanding the three components of meaning to transcending the “me self,” Brooks offers practical guidance for those who strive and strive, yet still feel like something's missing.To listen to the extended Deep Thinks version of this episode, please visit FasterSmarter.io/premium.Episode Reference Links:Arthur BrooksArthur's Book: The Meaning of LifeArthur's Podcast: Office Hours179. Finding Positive in Negative Emotions: Communication, Happiness & Wellbeing180. Unlocking Your Future Self: Communication, Happiness & Well…181. Why Happiness is a Direction, Not a Destination: Communicat…182. Stop Chasing Time and Start Owning It: Communication, Happiness & Wellbeing Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:26) - The Striver Mindset (04:00) - Three Parts of Meaning (07:50) - Me Self vs. I Self (09:59) - Transcendence Explained (12:04) - Proxy Goals (14:44) - Meaning vs. Achievement (18:36) - Daily Protocols (20:26) - This or That (22:00) - Conclusion ********Thank you to our sponsors. These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.This episode is sponsored by Grammarly. Let Grammarly take the busywork off your plate so you can focus on high-impact work. Download Grammarly for free today Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.
We start with some important business: Nilay has a flight to catch, and is very worried he won't catch it. Also, it's Apple's 50th anniversary next week, and we're going to spend the week debating which Apple products are the best Apple products. (Head to the ad-free Vergecast feed to hear our selection show!) But mostly, this episode is about social media. In two key trials this week, juries found social platforms liable not for the content they display but for the actual structure and features of the platform. That could change the way social media companies act, and how users fight back. After that, it's time for the silliness of the router ban, the latest in the chatbot wars, and an update on what's happening with Grammarly's Expert Voices feature. Further reading: Rank your top 50 Apple products Verge subscribers, here's how to set up ad-free podcasts The TSA is broken — is privatization next? What is ICE actually doing at American airports? Meta misled users about its products' safety, jury decides Meta and YouTube found negligent in landmark social media addiction case Social media on trial: tech giants face lawsuits over addiction, safety, and mental health What it was like to watch grieving parents stare down Mark Zuckerberg in court A bombshell child safety leak changed Meta — for the worse Internal chats show how social media companies discussed teen engagement 2026 is the year of social media's legal reckoning The US government just banned consumer routers made outside the US The United States router ban, explained FCC green-lights Nexstar's $6.2B merger with rival TV station owner Tegna Cox Communications not liable for pirated music, Supreme Court rules Confronting the CEO of the AI company that impersonated me North Carolina man pleads guilty to AI music streaming fraud. Apple is testing a standalone app for its overhauled Siri OpenAI is planning a desktop ‘superapp' This is Microsoft's plan to fix Windows 11 OpenAI just gave up on Sora and its billion-dollar Disney deal The age of piracy ended with LimeWire | Version History Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Apple has announced the dates for its annual WWDC and hinted that's when the new Siri is coming, plus it's released AI features in Apple Music, and says ads are coming to Apple Maps, all on the AppleInsider Podcast.Contact your hosts:@williamgallagher_ on Threads@WGallagher on TwitterWilliam's 58keys on YouTubeWilliam Gallagher on emailWes on BlueskyWes Hilliard on emailWes's blog HillitechSponsored by:Squarespace: Get a free trial at squarespace.com/APPLEINSIDER and then 10% off your first website or domain purchase with code APPLEINSIDERNordStellar: Unlock your 10% discount at nordstellar.com/appleinsider with the coupon code nordappleinsider-10-NORDSTELLARClaude by Anthropic: Check out Claude and Claude Pro at Claude.ai/appleinsiderLinks from the Show:Siri testing isn't going well, new features probably won't ship in iOS 26.4What to expect at WWDC 2026iOS 26.4 is here with Playlist Playground, videos in Podcasts, new emoji, moreWes's Playlist: Writing with Elegance on Apple Music Apple distills Google Gemini model for on-iPhone processingiOS 27 will finally get that long-awaited Siri updateGrammarly CEO steps on same rake over and over in embarrassing interview about AI slopBehind on Siri, Apple makes a billion dollars from rival AI appsGenerative video creator Sora is dead along with $1 billion Disney content dealwatchOS 8 and watchOS 5 get minor updates with iMessage fixiOS 18.7.7, macOS 15.7.5 updates fix kernel memory leaks & WebKit flawsYou are out of time to update: Severe iOS hack code leaks to everyoneApple Maps ads are private and launch in the summerApple Business Mail tempts Google Workspace users with free emailApple Business goes free, consolidating business and brand management tools in one platformSupport the show:Support the show on Patreon or Apple Podcasts to get ad-free episodes every week, access to our private Discord channel, and early release of the show! We would also appreciate a 5-star rating and review in Apple PodcastsMore AppleInsider podcastsTune in to our HomeKit Insider podcast covering the latest news, products, apps and everything HomeKit related. Subscribe in Apple Podcasts, Overcast, or just search for HomeKit Insider wherever you get your podcasts.Subscribe and listen to our AppleInsider Daily podcast for the latest Apple news Monday through Friday. You can find it on Apple Podcasts, Overcast, or anywhere you listen to podcasts.Those interested in sponsoring the show can reach out to us at: advertising@appleinsider.com (00:01) - WWDC (25:32) - Apple Music (39:40) - Grammarly (01:01:19) - Planned obsolescence (01:09:13) - Ads in Apple Maps ★ Support this podcast on Patreon ★
Treasury Secretary Scott Bessent dismisses questions about how America will pay for a $200 billion war with Iran, claiming "we have plenty of money"—but Peter Schiff exposes the dangerous delusion behind deficit spending and reveals how import/export prices are already screaming inflation that will dwarf anything under Biden.- Sponsored by Function. Visit https://www.functionhealth.com/peter or use gift code PETER25 for a $25 credit toward your membership- Sponsored by Grammarly. Download Grammarly for free at http://grammarly.comPeter Schiff exposes the Trump administration's reckless war financing, revealing Treasury Secretary Scott Bessent's shocking dismissal of questions about paying for a $200 billion Iran War appropriation. When pressed on funding sources, Bessent called the question "ridiculous" and claimed America has "plenty of money" despite $39 trillion in debt, ruling out tax increases while offering no spending cuts. Schiff argues this proves the biggest threat to America isn't Iran but Washington's own fiscal irresponsibility, as the war becomes a convenient scapegoat for the massive inflation already baked into the economy from Trump's policies.The episode reveals Trump's market manipulation through contradictory Truth Social posts - issuing ultimatums that crash markets, then announcing "great progress" in negotiations that reverse the moves, with suspicious large trades placed minutes before his reversal posts. Meanwhile, import/export prices exploded 16.8% and 19.6% annualized in February alone, signaling the inflation tsunami coming in 2026. Schiff also delivers major legal updates: his civil rights lawsuit against the IRS conspiracy was dismissed with prejudice, but he won a crucial FOIA battle forcing the government to release hundreds of redacted pages that could expose massive corruption at the highest levels of multiple government agencies.Chapters:00:00 — Cold Open and Intro00:56 — War Funding and Taxes09:12 — Debt Inflation and Sacrifice11:09 — Credibility and Market Moves14:39 — Ultimatums and Market Whiplash18:33 — Gold Silver and Real Rates31:30 — Taco Pattern and War Spin33:44 — Ceasefire Demands and Stalemate35:46 — Oil Fertilizer and Aftermath Risks36:53 — Strategic Stockpiling Surge38:31 — Mortgage Demand Cracks41:20 — Import Export Prices Signal Inflation46:48 — War As Inflation Scapegoat50:03 — Euro Pacific Bank Legal Fight52:28 — Civil Rights Case Dismissed59:29 — FOIA Lawsuit Breakthrough1:01:17 — Redactions Reveal Conspiracy1:06:56 — Courts And Government Accountability1:15:43 — Gold Silver Final Pitch#GoldInvesting #IranWar #InflationCrisisPrivacy & Opt-Out: https://redcircle.com/privacy
Today, I'm talking with Shishir Mehrotra, the CEO of Superhuman, the company formerly known as Grammarly, which is still its flagship product. Back in August, Grammarly shipped a feature called Expert Review, which allowed you to get writing suggestions from AI-cloned “experts,” and recently, reporters at The Verge and other outlets discovered that those experts included me, among many others. No one ever asked permission to use our names this way, and a lot of reporters were outraged by this. To Shishir's credit, he did not cancel our interview and he came on and stuck it out. This conversation got tense at times, and it's clear we disagree about how extractive AI feels for people. There's a lot in this one, and I'm excited to hear what you think. Links: Why I'm suing Grammarly | New York Times Grammarly will stop using identities without permission | The Verge Grammarly to keep using writer identities unless they opt out | The Verge Grammarly turned me into an AI editor and I hate it | Platformer Grammarly is using our identities without permission | The Verge Grammarly is changing its name to Superhuman | The Verge Grammarly wants to become an ‘AI productivity platform' | The Verge Viacom v. YouTube, 2007 | Electronic Frontier Foundation Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt. This episode was edited by Xander Adams. Our editorial director is Kevin McShane. The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Memorable communication isn't about saying more—it's making the right idea stick. No matter how compelling a presentation feels in the moment, most of what you say won't last in your audience's memory. The key isn't trying to make people remember everything — it's ensuring they remember what matters most.Carmen Simon is a cognitive neuroscientist, author, and expert on how the brain pays attention and forms memories. Her research explores how communication can move beyond passive listening and become an experience the brain actually holds onto. “The way we come to know the world is through the interaction of brain, body, and environment,” she explains. “The more you invite your audiences to interact with anything, especially physically, the more you impact cognition.”In this Quick Thinks episode of Think Fast Talk Smart, Simon and host Matt Abrahams explore practical, research-backed ways to make communication more memorable. They discuss why handwriting notes can deepen understanding, how curiosity and tension capture attention, and why communicators should avoid overwhelming audiences with too much information. Instead, Simon encourages speakers to structure ideas so audiences can recognize patterns and return to a clear core message.Episode Reference Links:Carmen SimonCarmen's Book: Impossible to IgnoreEp.39 Brains Love Stories: How Leveraging Neuroscience Can Capture People's Emotions Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:31) - Embodied Cognition Explained (04:44) - The Impact of Environment on Attention (06:08) - Sparking Curiosity in Your Audience (10:24) - Avoiding Cognitive Overload (14:48) - Using Visuals to Improve Recall (18:43) - Conclusion ********Thank you to our sponsors. These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.This episode is sponsored by Grammarly. Let Grammarly take the busywork off your plate so you can focus on high-impact work. Download Grammarly for free today Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.
Kara and Scott break down the Iran war's impact on markets, Anthropic suing the Pentagon, and a terrifying report that most major chatbots would help users plan violent attacks. Then, Grammarly impersonates Kara Swisher, Barry Diller wants CNN, and Scott predicts the market could be headed for a wipeout. Watch this episode on the Pivot YouTube channel.Follow us on Instagram and Threads at @pivotpodcastofficial.Follow us on Bluesky at @pivotpod.bsky.socialFollow us on TikTok at @pivotpodcast.Send us your questions by calling us at 855-51-PIVOT, or email pivot@voxmedia.com Learn more about your ad choices. Visit podcastchoices.com/adchoices
A.I. is changing the ways war is waged. This week, we explore how the U.S. and Israel are using A.I. to identify targets in the conflict with Iran — and why data centers and fiber optic cables are targets on the front lines. Then, researcher Julie Bedard breaks down “A.I. brain fry,” a new condition she and her colleagues studied among A.I. users at work. And finally, Casey shares his battle with Grammarly after the company used his identity in a new A.I. feature, without his consent. Guest: Julie Bedard, managing director and partner at Boston Consulting Group who is also the lead author of a survey of “A.I. brain fry” in the workplace. Additional Reading: U.S. at Fault in Strike on School in Iran, Preliminary Inquiry Says How A.I. Is Turbocharging the War in Iran Anthropic's A.I. tool Claude central to U.S. campaign in Iran, amid a bitter feud A.I. Fatigue Is Real and Nobody Talks About It Token Anxiety A.I. Doesn't Reduce Work — It Intensifies It Grammarly Is Using Our Identities Without Permission We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Both David and Nilay bought new computers this week, as the MacBook Neo turned out to be a surprisingly great cheap Apple laptop. The hosts discuss their experiences with the machines, from the processor to the keyboard to the mess that is MacOS Tahoe. After that, they talk about the future of Xbox, Project Helix, and what it might mean for every gaming PC to become an Xbox... and for the Xbox to become a gaming PC. Finally, in the lightning round, it's time for Brendan Carr is a Dummy, the latest on Paramount and Warner Bros, Grammarly's sloppelgangers, and more. Further reading: MacBook Neo review: the Mac for the masses Asus chief says Macbook Neo's affordable pricing came as a shock to the entire PC market — compares $599 notebook to a tablet and content-consumption device The MacBook Neo is surprisingly easy to disassemble and repair. From 2007: Ballmer Laughs at iPhone Apple Studio Display XDR review: a great, but expensive, pro option The iPhone 17E is good, but you probably shouldn't buy it iPad Air review 2026: the M4 and other chip bumps make a difference Apple is going high-end with new ‘Ultra' products next iPhone Fold rumor: iPad-like multitasking, but no iPad apps and no Face ID Microsoft's next Xbox, Project Helix, won't reach alpha until 2027 Microsoft's ‘Xbox mode' is coming to every Windows 11 PC Microsoft says you should build next-gen Xbox games by building them for PC. FCC chair blasts Amazon after it criticizes SpaceX megaconstellation Brendan Carr on X FCC chief tells CNBC WBD-Paramount merger deal is ‘cleaner' than Netflix's, will be approved ‘quickly' Grammarly is using our identities without permission Grammarly is turning off the expert review AI feature that stole our identities Grammarly will keep using authors' identities without permission unless they opt out The Live Nation settlement has industry insiders baffled Samsung Galaxy S26 and S26 Plus review: This again Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices
In this week's News Roundup, Bridget and Producer Joey cover the tech news stories you might have missed. Do Normies Have The Right to Read Heated Rivalry Fanfic: https://www.gq.com/story/heated-rivalry-fanfic-privacy A writer is suing Grammarly for turning her and other authors into ‘AI editors’ without consent: https://techcrunch.com/2026/03/12/a-writer-is-suing-grammarly-for-turning-her-and-other-authors-into-ai-editors-without-consent/ He Tried to Stop Adobe From Training its AI on His Photo Library – He Lost: https://petapixel.com/2026/03/11/he-tried-to-stop-adobe-from-training-its-ai-on-his-photo-library-he-lost/ Viral 'Quittr' Porn Addiction App Exposed the Masturbation Habits of Hundreds of Thousands of Users: https://www.404media.co/viral-quittr-porn-addiction-app-exposed-the-masturbation-habits-of-hundreds-of-thousands-of-users/ Panic World’s episode on the NoFap movement: https://open.spotify.com/episode/6qXJNaFl2dIzwXC9h8no4p Uber’s women-only option goes nationwide in the US: https://apnews.com/article/uber-women-safety-9c974f92dfd7fb25d504d173b2429d06 Listen to Alison Turkos on TANGOTI: https://podcasts.apple.com/gb/podcast/she-was-sexually-assaulted-during-a-lyft-ride-now/id1520715907?i=1000555658403 Buffer Report: Declines in Instagram, LinkedIn, Threads Engagement: https://www.globaldatinginsights.com/featured/buffer-report-declines-in-instagram-linkedin-threads-engagement/ Let us know what you think about these stories by emailing hello@tangoti.com or leaving a comment on Spotify! Pre-order our forthcoming audiobook about AI and intimate relationships at LoveAtFirstPrompt.com ! Follow Bridget and TANGOTI on social media! || instagram.com/bridgetmarieindc/ || tiktok.com/@bridgetmarieindc || youtube.com/@ThereAreNoGirlsOnTheInternet || bsky.app/profile/tangoti.bsky.socialSee omnystudio.com/listener for privacy information.
Dan Moren of SixColors joins Mikah Sargent again on Tech News Weekly! Grammarly is facing a class action lawsuit over its AI "Expert Review" feature. Live Nation's settlement with the DOJ does very little. A recap of Mobile World Congress in Barcelona, Spain. And China is obsessed with OpenClaw AI. Dan talks about a class-action lawsuit brought against Grammarly and its company, Superhuman, over its AI "Expert Review" feature that offered editing suggestions as if they came from various authors and academics, without their consent. Mikah, and many others, are perplexed at the DOJ's settlement with Live Nation Entertainment and what little Live Nation had to concede as part of the settlement. Abrar Al-Heeti of CNET stops by to share her experience at MWC (Mobile World Congress) in Barcelona and what she and her CNET colleagues saw there. And Mikah shares about China's obsession with the OpenClaw AI craze and how users are utilizing the AI agent. Hosts: Mikah Sargent and Dan Moren Guest: Abrar Al-Heeti Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit joindeleteme.com/twit promo code TWIT zscaler.com/security hipebl.ai
Apple's legendary evangelist Guy Kawasaki reveals how signal messaging and open-source AI are rewriting playbooks for privacy, immortality, and activism. Hear candid stories and sharp opinions from someone who has shaped—and challenged—today's tech giants. OpenAI robotics hardware lead resigns ChatGPT returns to the top of the App Store after DoD controversy OpenAI Had Banned Military Use. The Pentagon Tested Its Models Through Microsoft Anyway Anthropic Made Pitch in Drone Swarm Contest During Pentagon Feud Anthropic chief back in talks with Pentagon about AI deal OpenAI robotics leader resigns over concerns about Pentagon AI deal BREAKING: Sam Altman's greed and dishonesty are finally catching up to him ChatGPT update curbs 'cringe,' cuts down on answer refusals OpenAI's GPT-5.4 sets new records on professional benchmarks OpenAI Releases New ChatGPT Model For Working In Excel and Google Sheets - Slashdot OpenAI delays ChatGPT's 'adult mode' again OpenAI's IPO Hopes Face Skeptical Investor Community Sources: Meta has signed a multiyear AI content licensing deal with News Corp worth $50M per year; the deal will run for at least three years Zuckerberg has "finished" with Alexandr Wang, worth US$14 billion Yann LeCun Raises $1 Billion To Build AI That Understands the Physical World Mira Murati's Thinking Machines Lab signs a chip supply deal with Nvidia worth tens of billions of dollars, planning to deploy 1GW+ of next-gen Vera Rubin chips Meta didn't buy Moltbook for bots — it bought into the agentic web Where did you think the training data was coming from? You could be an influencer without even realizing it Amazon Wins Court Order To Block Perplexity's AI Shopping Bots Amazon's Health AI is now open to all US customers After outages, Amazon to make senior engineers sign off on AI-assisted changes Amazon Data Centers on Fire After Iranian Missile Strikes on Dubai Nvidia Is Planning to Launch an Open-Source AI Agent Platform How to Talk to Someone Experiencing 'AI Psychosis' Tiiny AI Pocket Lab: The First Pocket-Size AI Supercomputer A lot of journalism folks are offering editing advice as Grammarly's AI "experts" AI-generated art can't be copyrighted after Supreme Court declines to review the rule Judges Find AI Doesn't Have Human Intelligence in Two New Court Cases Ars Technica fires reporter after AI controversy involving fabricated quotes Start Up No.2624: Canadian journal retracts 25 years of studies, the AI writing question, Netflix buys Affleck AI firm, and more William Shatner says he turned a $42 money transfer from Elon Musk into nearly $200,000 for his charity YouTube Lays Claim to Another Crown: The World's Largest Media Company ET Fall Preview 1994 Payphone Go This company wants to pay you $800 to bully AI for a day Tweakbench - your favorite producer's favorite plugins lol Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Guy Kawasaki Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/machines monarch.com with code IM Melissa.com/twit get.stash.com/im
With national debt up $2.6 trillion in one year and trade deficits exploding despite tariffs, the dollar faces collapse while oil and gold signal inflation's return.- This episode is sponsored by Grammarly. Download Grammarly for free at https://grammarly.com- This episode is also sponsored by Pebl. Go to https://hipebl.ai to get a free estimate.Peter Schiff analyzes mounting evidence that the U.S. dollar is heading for a major decline, driven by exploding deficits and failed trade policies. With the national debt surging $2.6 trillion in just over a year under Trump, and trade deficits widening despite tariffs, Schiff argues that the same deficit spending Republicans blamed for Biden's inflation is now accelerating under the current administration. Oil prices have surged 21% in two months, hitting six-month highs above $66, while gold holds support above $5,000 as central banks continue dumping dollars. The December trade deficit data reveals Trump's tariffs are backfiring spectacularly - imports rising while exports fall, proving Americans pay 90% of tariff costs according to New York Fed studies. Housing markets show severe stress with pending home sales hitting record lows, signaling price corrections ahead. Schiff credits Trump for reducing FDA drug approval requirements from two studies to one, but argues this modest deregulation doesn't address the fundamental problem of government interference in healthcare markets that didn't exist before 1962.Chapters:01:33 Gold & Silver Snapshot: Buy the Dip Below $5,00002:14 Oil Breakout: Why Gas Prices Are Headed Higher05:42 Dollar Weakness #1: Exploding Deficits and the Debt Rollover Bomb09:52 Tariffs, Taxes, and the Myth of 1880s Prosperity15:54 DOGE, Elon Musk, and Why Government Can't Be Efficient20:14 World Ditches the Dollar: Central Banks Buy Gold21:32 Trade Deficit Reality Check: December Numbers Blow Out27:28 Tariffs Backfire: New York Fed Study Says Americans Pay36:20 Twin Deficits → Inflation & Rates: The Macro Chain Reaction39:22 Housing Bubble Math: Rates Up Means Prices Must Fall42:04 Giving Credit Where Due: Trump's FDA Change to One Efficacy Study45:05 Before 1962/1938: How Drug Approval Worked in a Freer Market53:28 Wrap-Up: Newsletter, Gold/Silver, EuroPac Funds & Upcoming Live ShowFollow @peterschiffX: https://twitter.com/peterschiffInstagram: https://instagram.com/peterschiffTikTok: https://tiktok.com/@peterschiffofficialFacebook: https://facebook.com/peterschiffSign up for Peter's most valuable insights at https://schiffsovereign.comSchiff Gold News: https://www.schiffgold.com/newsFree Reports & Market Updates: https://www.europac.comBook Store: https://schiffradio.com/books#Gold #Tariffs #InflationOur Sponsors:* Check out GhostBed: https://ghostbed.com/PETER* Check out TruDiagnostic and use my code GOLD20 for a great deal: https://www.trudiagnostic.comPrivacy & Opt-Out: https://redcircle.com/privacy
Our first caller's ex reached out the moment she got engaged…does she tell her fiancé? The second caller is considering flying to Japan to see an old fling in the middle of her divorce. And our final caller is torn over whether to let her estranged father walk her down the aisle. "You have the right to have expectations of your dad and be disappointed by his shortcomings, but you're choosing to have no relationship with your father..." The Viall Files is going LIVE with the new cast of Temptation Island on May 6th! Presale is already open if you use code JOKES. General sale starts Friday January 23rd @10am PT. For more information, please visit netflixisajokefest.com. Want ad free episodes and incredible bonus content? Start your 7 Day Free Trial of Viall Files + here: https://viallfiles.supportingcast.fm/ Love drama, tough questions, and Nick's honest advice? Follow @asknickviall on Instagram and Tiktok for dating and relationship advice from someone who's seen it all HEY! YOU! DO YOU NEED DATING AND RELATIONSHIP ADVICE? Email asknick@theviallfiles.com and be a part of future Ask Nick episodes! Subscribe to The ENVY Media Newsletter Today: https://www.viallfiles.com/newsletter Listen to Humble Brag with Cynthia Bailey and Crystal Kung Minkoff now! Listen on Apple: https://podcasts.apple.com/us/podcast/humble-brag-with-crystal-and-cynthia/id1774298881 Listen on Spotify: https://open.spotify.com/show/4NWA8LBk15l2u5tNQqDcOO?si=3b868996930347e8 Watch on YouTube: https://www.youtube.com/@humblebragpod Listen To Disrespectfully with Katie Maloney and Dayna Kathan now! Listen on Apple: https://podcasts.apple.com/us/podcast/disrespectfully/id1516710301 Listen on Spotify: https://open.spotify.com/show/0J6DW1KeDX6SpoVEuQpl7z?si=c35995a56b8d4038 Watch on YouTube: https://www.youtube.com/channel/UCCh8MqSsiGkfJcWhkan0D0w To Order Nick's Book and/or learn more about the show, go to: https://viallfiles.com THANK YOU TO OUR SPONSORS: Merit Beauty - The RealReal is the most trusted name in authenticated luxury resale, With over ten thousand new arrivals daily, no one does resale like The RealReal. And now, get TWENTY FIVE DOLLARS OFF off your first purchase when you go to https://therealreal.com/files Helix Sleep - Go to https://helixsleep.com/viall for 27% off sitewide for their President's Day Sale. Grammarly - In a world of generic AI, don't sound like everyone else. With Grammarly, you never will. Download Grammarly for free at https://Grammarly.com. Tonal - Right now, Tonal is offering our listeners $200 off your Tonal purchase with promo code VIALL. That's https://Tonal.com. Caraway - Caraway's cookware set is a favorite for a reason, it can save you up to $190 versus buying the items individually. Plus, if you visit https://Carawayhome.com/VF10 you can take an additional 10% off your next purchase. Bilt - Join the loyalty program for renters at https://joinbilt.com/viall To advertise on this podcast please email: ad-sales@libsyn.com or go to: https://advertising.libsyn.com/theviallfiles Timestamps: (00:00) - Intro (00:50) - Caller One (24:41) - Caller Two (55:37) - Caller Three Episode Socials: @viallfiles @nickviall @justinkaphillips @the_mare_bare @izeweaver
Peter Schiff examines the Fed's misguided policies, the soaring gold market, and the looming dollar crisis, urging listeners to act before it's too late.This episode is sponsored by Grammarly. Download Grammarly for free at http://grammarly.com/In this episode of The Peter Schiff Show, host Peter Schiff delves into the recent absurd admissions from Fed Chairman Jerome Powell that have sent gold prices soaring. As the dollar continues its alarming decline, Schiff scrutinizes Powell's dismissal of gold's significance and the Fed's troubling monetary policies. He highlights the urgency of investing in precious metals like gold and silver amid the looming dollar crisis and a global shift away from the U.S. currency. Schiff's insights reinforce his long-standing belief that the current economic environment is ripe for disaster, urging listeners to take proactive measures to protect their wealth. Tune in as Peter Schiff provides his critical analysis of the unfolding financial landscape and what it means for investors today.Chapters:00:00 Introduction and Opening Remarks01:05 Gold and Silver: The Financial Story of the Decade05:08 The Dollar's Decline and Trump's Economic Claims07:09 The Global Political Order and America's Economic Collapse09:06 The Urgency of Buying Gold and Silver11:17 Bitcoin vs. Gold: A Critical Analysis20:34 The Fed's Stance on the Dollar and Gold30:23 Gold as a Monetary Indicator31:48 Powell's Dismissal of Gold32:44 The Fed's Missteps and Gold's Warning36:25 The Global Shift Away from the Dollar38:24 The Real Crash and Investment Strategies39:27 The Importance of Early Positioning42:32 The Looming Dollar Crisis43:27 Investment Opportunities and Final ThoughtsFollow @peterschiffX: https://twitter.com/peterschiffInstagram: https://instagram.com/peterschiffTikTok: https://tiktok.com/@peterschiffofficialFacebook: https://facebook.com/peterschiffSign up for Peter's most valuable insights at https://schiffsovereign.comSchiff Gold News: https://www.schiffgold.com/newsFree Reports & Market Updates: https://www.europac.comBook Store: https://schiffradio.com/books#goldinvestment #dollardevaluation #financialcrisisPrivacy & Opt-Out: https://redcircle.com/privacy
Welcome back to The Viall Files: Reality Recap! Hope everyone had a great holiday!!!! To celebrate the return to the studio and the last recap of the year, we're joined by Tyler Cameron and Tate Madden to get into all the Christmas family lore. Plus, we get into some Taylor Frankie Paul and Mormon Wives headlines and the most recent episode of RHOP! You won't want to miss it. "I don't know what giddy means, but I do get excited sometimes" Buy Our Merch: https://shop.viallfiles.com/ Are you interested in being a part of a dating docuseries, with the opportunity of meeting your one? Fill out our casting call! https://docs.google.com/forms/d/e/1FAIpQLSc8_echsNPYsFZZ1tIpyY_aMD75tB3kZwKWCfgVZuYeS-xJQg/viewform Subscribe to The ENVY Media Newsletter Today: https://www.viallfiles.com/newsletter Listen to Humble Brag with Cynthia Bailey and Crystal Kung Minkoff. Available wherever you get your podcasts and YouTube: https://www.youtube.com/@humblebragpod https://podcasts.apple.com/us/podcast/humble-brag-with-crystal-and-cynthia/id1774286896 Start your 7 Day Free Trial of Viall Files + here: https://viallfiles.supportingcast.fm/ We've partnered with Mint Mobile to open a hot takes hotline to hear your scorching hot opinions! Give us your hot takes, thoughts and theories and we'll read and react to the best ones on an upcoming Reality Recap episode! All you have to do is call 1-855-MINT-TLK or, if you prefer the numbers, that's 1-855-646-8855 and leave us a message. Please make sure to subscribe so you don't miss an episode and as always send in your relationship questions to asknick@theviallfiles.com to be a part of our Monday episodes. Follow us on X/Twitter: https://twitter.com/TheViallFiles Listen To Disrespectfully now! Listen on Apple: https://podcasts.apple.com/us/podcast/disrespectfully/id1516710301 Listen on Spotify: https://open.spotify.com/show/0J6DW1KeDX6SpoVEuQpl7z?si=c35995a56b8d4038 Watch on YouTube: https://www.youtube.com/channel/UCCh8MqSsiGkfJcWhkan0D0w To Order Nick's Book Go To: http://www.viallfiles.com If you would like to get some texting advice on Office Hours send an email to asknick@theviallfiles.com with "Texting Office Hours" in the subject line! To advertise on this podcast please email: ad-sales@libsyn.com or go to: https://advertising.libsyn.com/theviallfiles THANK YOU TO OUR SPONSORS: Legendz - Go to https://legendz.com and use promo code VIALL. Grammarly - Sign up for FREE and experience how Grammarly can elevate your professional writing from start to finish. Visit https://grammarly.com/podcast Starbucks - Together is the best place to be. Connect over your holiday favorites at Starbucks. Thrive Market - Head to https://thrivemarket.com/viall to explore better snacks and pantry options and get 30% off your first order and a free $60 gift Timestamps: 00:00 - Holiday Talk 27:09 - Household Headlines 50:16 - RHOP Episode Socials: @viallfiles @nickviall @nnataliejjoy @tylerjcameron @tada_itstate @ciaracrobinson @justinkaphillips @leahgsilberstein @the_mare_bare