Podcasts about ChatGPT

00:00:00 – Rinse-and-repeat reality check and Alex Jones clip reel 00:05:01 – Cannibalism vs slurs debate gets fed through ChatGPT 00:09:40 – Turning ChatGPT into a snarky ethics roaster 00:13:39 – Black Vault archive "wiped" after UFO file pledge 00:18:33 – Alex Jones and Greer: demons, tech, and disclosure factions 00:23:34 – MKUltra/Artichoke resurfaces and Mars-born human speculation 00:28:01 – Plastic-wrap "mouth condom" weight-loss trend 00:33:01 – Mask sightings and State of the Union cringe 00:37:40 – X-Files reboot talk in a post-paranormal world 00:42:40 – "Breakthrough" solid-state battery hype meets fire anxiety 00:46:07 – Candace Owens' Charlie Kirk trailer reignites a frenzy 00:54:10 – The "call her demonic" talking-point machine 00:59:06 – Milo claims he was offered money to smear Owens 01:04:07 – Defamation math: nobody sues what's provable 01:09:06 – Owen Shroyer crashout and the widow-performance optics 01:14:03 – Fort Huachuca intel-training thread and "Erica eyes" memes 01:21:12 – Trump, Netanyahu, Epstein: asset-manager paranoia spiral 01:26:08 – AI voice fakery and the next infrastructure faceplant 01:30:47 – Robot vacuum exploit turns homes into camera feeds 01:34:57 – Open-source agent nukes an inbox after "don't delete" 01:39:58 – Discord age-gating walkback and IPO pressure cooker 01:49:19 – Kraft Heinz condiment name becomes a translation problem 01:54:23 – Canadian chainsaws his TV after USA hockey gold 01:59:13 – Wrap-up, plugs, and goodbye chaos   Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research ▀▄▀▄▀ CONTACT LINKS ▀▄▀▄▀ ► Website: http://obdmpod.com ► Twitch: https://www.twitch.tv/obdmpod ► Full Videos at Odysee: https://odysee.com/@obdm:0 ► Twitter: https://twitter.com/obdmpod ► Instagram: obdmpod ► Email: ourbigdumbmouth at gmail ► RSS: http://ourbigdumbmouth.libsyn.com/rss ► iTunes: https://itunes.apple.com/us/podcast/our-big-dumb-mouth/id261189509?mt=2  

If you wanted a petri dish for understanding metaphors—how they emerge and evolve and jostle with each other—it would be hard to do better than the world of AI. We talk about AI systems variously as coaches or co-pilots, little genies or alien intelligences. Some researchers claim that AIs "grow," that they're entering their phase of "adolescence." Critics deride AI products as slop and dismiss LLMs as a kind of autocomplete on steroids. What's behind these different characterizations? Which ones are accurate and which are unfair? And are our metaphors mostly colorful rhetoric or do they matter? Are they shaping how we understand, adopt, and ultimately regulate these new technologies?   My guest today is Dr. Melanie Mitchell. Melanie is a computer scientist and Professor at the Santa Fe Institute. She is the author of the book, AI: A Guide for Thinking Humans, and she writes a Substack by the same name.  This episode is a bit of companion to our recent episode with Steve Flusberg. In that episode, Steve and I attempted a kind of crash course on metaphor and the human mind. Here, Melanie and I sit down for more of an extended case study: how metaphors are guiding, galvanizing, and maybe deceiving us in the contested realm of AI discourse. We unpack seven of the most widely used metaphors in this space. We consider how these metaphors are shaping not only our everyday understandings of AI, but also law and policy. We also talk about the metaphor and analogy capabilities of AI itself. Can these system reason abstractly in the way that humans can? Along the way, Melanie and I touch on: AI-generated poetry, anthropomorphism, the original sin of AI research, the myth of Narcissus, psychometric testing and its pitfalls, metaphors for AI that are a bit hard to spot, and the question of whether an AI has ever come up with a decent analogy for itself.  Longtime fans of the show will know that we've had Melanie on the show once before. We invited her back, not only because she's thought about metaphor and analogy in AI discourse for decades, but because she's a voice of calm insight in an area that's increasingly awash in hype and polemic. Longtime fans of the show may also note that we are now celebrating our 6th birthday at Many Minds. That's right, the show launched in February 2020. If you'd like to support us as we recognize this milestone, you can leave us a rating or a review, recommend us to a friend, or give us a shout out on social media. Your support is always appreciated.  Without further ado, on to my conversation with Dr. Melanie Mitchell. Enjoy!    Notes 3:30 – For an overview of Douglas Hofstadter's work on analogy, see here. 8:00 – Much of our discussion in this interview draws on Dr. Mitchell's piece on the metaphors for AI in Science magazine.  13:30 – For earlier discussions of anthropomorphism on the show, see our earlier episodes here and here.  16:00 – See here for the original discussion of LLMs as "stochastic parrots." 17:00 –  See here for the original discussion of ChatGPT as a "blurry jpeg." 18:30 – See here for the original discussion of LLMs as role players. 22:00 – See here for one use of the "LLMs as crowds" metaphor. See also a discussion of this metaphor (and other metaphors for AI) here.   25:00 – For one discussion of AI as a "cultural technology" by Alison Gopnik and colleagues, see here. For a more recent discussion of the same metaphor by Henry Farrell, Alison Gopnik and others, see here. 27:00 – For the podcast series on intelligence that Dr. Mitchell co-hosted for the Santa Fe Institute, see here.  28:00 – See here for an influential formulations of the idea that AI is an "alien intelligence."  29:00 – For philosopher Shannon Vallor's book about AI as "mirror," see here. 31:00 – For the recent study on users' metaphors for AI systems, see here.  33:00 – For more on the rise of social AI, see our earlier episode here.  38:00 – For more on what AI researchers might learn from developmental and comparative psychologists, see Dr. Mitchell's recent post (summarizing here keynote at NeurIPs).  42:00 – For more on the ARC (Abstraction and Reasoning Corpus) and the research that Dr. Mitchell and colleagues have been doing with it, see here and here. 48:30 – For the study on humans' preference for AI-generated poetry, see here. 50:30 – For Brigitte Nerlich's documentation and discussion of various metaphors for AI (including AI's metaphors for itself), see here.   Recommendations  The AI Mirror, by Shannon Vallor 'Role play with large language models,' by Murray Shanahan (former guest!) et al. 'Large AI models are cultural and social technologies,' by Henry Farrell et al.   Many Minds is a project of the Diverse Intelligences Summer Institute, which is made possible by a generous grant from the John Templeton Foundation to Indiana University. The show is hosted and produced by Kensy Cooperrider, with help from Assistant Producer Urte Laukaityte and with creative support from DISI Directors Erica Cartmill and Jacob Foster. Our artwork is by Ben Oldroyd. Subscribe to Many Minds on Apple, Stitcher, Spotify, Pocket Casts, Google Play, or wherever you listen to podcasts. You can also now subscribe to the Many Minds newsletter here! We welcome your comments, questions, and suggestions. Feel free to email us at: manymindspodcast@gmail.com. For updates about the show, visit our website or follow us on Bluesky (@manymindspod.bsky.social).

How often do you use ChatGPT to evaluate your ailments? Did it work? More and more people are turning to chatbots to diagnose their illnesses — with varied success. But when it does work, it can be life-changing. Dr. Dhruv Khullar heard of a case where ChatGPT identified the cause of one man’s years-long gastrointestinal struggles, in seconds. Given a medical system that can fail so many, Dr. Khullar started to wonder, “If A.I. Can Diagnose Patients, What Are Doctors For?” That’s the title of a recent piece he wrote for The New Yorker. Oz sits down with Dr. Khullar to see if there is an answer to this question. Additional Reading: If A.I. Can Diagnose Patients, What Are Doctors For? | The New Yorker The Role of Doctors Is Changing Forever | The New Yorker See omnystudio.com/listener for privacy information.

Episode 345 – The Homeowner Show Hosted by Kevin Hackett and Craig Williams Time is flying… and so is technology. In Episode 350, Kevin and Craig kick things off talking about how fast the year is moving, what an El Niño season means for weather patterns, and even touch on a recent headline-making kidnapping case. It's the kind of real-life, real-time conversation you've come to expect — grounded, relevant, and honest. Then things get futuristic. Kevin shares how he used artificial intelligence — including ChatGPT and a voice AI called WhisperFlow — to diagnose and repair his refrigerator. Step-by-step troubleshooting. Real-time problem solving. No service call required. It's a fascinating look at how AI is becoming a practical tool for homeowners — not just a buzzword. From there, Craig fires up something a little more hands-on: a full review of the Gozney Arc portable pizza oven. He breaks down: Setup and accessories Performance and heat output (up to 950°F) Cooking technique (yes, you have to turn the pizza!) Dough experiments and topping combinations Portability and versatility (steaks, veggies, and more) What starts as a product review turns into a bigger conversation about food, family, and whether making pizza at home can actually beat ordering out. They dive into cost comparisons, ingredient quality, and the experience of cooking together — plus a quirky grocery store story involving pasta production and European food labeling. Bottom line? The Gozney Arc delivers. It's powerful, fun, and surprisingly approachable — whether you're a casual pizza night family or a backyard culinary enthusiast. Episode 350 is about more than AI and pizza. It's about modern tools, timeless skills, and creating better experiences at home. If you've ever wondered: Can AI actually fix real-world problems? Is a high-end pizza oven worth it? Is homemade really better? This episode answers all three. Tune in, experiment a little, and maybe make pizza night something your family looks forward to every single week. Buy a Homeowners Show T-Shirt!   Subscribe to our YouTube Channel   The Homeowners Show Website The Homeowners Show Facebook Page Instagram @homeownersshow Twitter @HomeownersThe   Info@homeownersshow.com    Sustained Growth Solutions – Design a lead generation system specifically for your business so that you never have to search for leads again! We are a full digital marketing agency.

DOD – Disrupter Disrupters China markets reopening after Lunar New Year Mexico Cartel Wars Refunds requested for the illegal tariffs PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - The CTP for Caterpillar announced - DOD - Disrupter Disrupters - China markets reopening after Lunar New Year - Mexico Cartel Wars (Jalisco) Markets - Mortgage Rates - looking good! - Tariffs found illegal - that is not stopping anything - Refunds requested for the illegal tariffs - Monday's big drop and AI taking a bite out of stock prices Tariffs - First, who actually knows what is going on. 100% chaos - Supreme court ruled illegal (6-3) - 10% flat across all countries immediately added - Wait a day and make that 15% - FedEx seeks refund for illegal IEEPA tariffs imposed by Trump after the Supreme Court ruled Trump's tariffs exceeded authority - Numerous lawsuits expected for IEEPA tariff refunds - Apple has spent more than $3 billion on tariffs since President Donald Trump enacted his trade policies. What about that? (HOW TO FIGURE OUT WHO GETS THE REFUND) --- Estimate that $175B tariffs have been collected alreay - A group of 22 U.S. Senate Democrats on Monday introduced legislation that would require President Donald Trump's administration to fully refund within 180 days all of the revenue, with interest, collected from tariffs struck down by the U.S. Supreme Court. - The legislation would require the Customs and Border Protection agency, which collects tariffs at U.S. ports of entry, to prioritize small businesses. - The U.S. Customs and Border Protection agency said it will halt collections of tariffs imposed under the International Emergency Economic Powers Act at 12:01 a.m. EST (0501 GMT) on Tuesday Stop The Presses - After years of JCD's rants....... - Apple will soon introduce MacBooks with touch screens - Apple Inc.'s initial touch Macs will have the Dynamic Island at the center top of the display and OLED screen technology. The new MacBook Pro models will have a refreshed, dynamic user interface that can shift between being optimized for touch or point-and-click input. Europe Reacts - "The current situation is not conducive to delivering 'fair, balanced, and mutually beneficial' transatlantic trade and investment, as agreed to by both sides" in the joint statement setting out the terms of last year's trade agreement, the Commission said. "A deal is a deal." - All active discussions are halted on any USA/Europe trade deal The Potential Winners - Brazil and China may be the winners here - Chinese President Xi Jinping has a boost in bargaining power after the US Supreme Court invalidated Donald Trump's broad emergency tariffs, a key point of leverage over China. - The removal of tariff threats will make it harder for Trump to press Xi for larger purchases of certain products and leaves him without a key weapon to strike back if Chinese negotiators make fresh demands. - Xi's team will likely push harder for access to advanced semiconductors, the removal of trade restrictions on Chinese companies, and reduced US support for self-ruled Taiwan, according to Wu Xinbo, director at Fudan University's Center for American Studies. NVDA Earnings - NVIDIA drops its fiscal Q4 2026 (ended Jan 2025) results tomorrow—another make-or-break moment for the AI trade. - The bar is sky-high after years of blowout beats, but whispers of "peak AI" and slowing growth momentum have investors on edge. --- Consensus Expectations : ----Revenue: ~$65.6–$66.1 billion (up ~67–68% YoY from last year's ~$39B; guided $65B ±2% in prior report) ------EPS (adjusted/non-GAAP): ~$1.50–$1.53 (up ~70–72% YoY from $0.89). --------Gross margins: Targeting ~75% non-GAAP (holding strong despite supply chain noise). -----------Key driver: Data Center segment expected to crush ~$58–$60B, fueled by Blackwell ramp and hyperscaler spend. Home Depot Earnings - The home-improvement retailer gained 2.7% after posting fourth-quarter adjusted earnings of $2.72 per share on revenues of $38.20 billion. - That exceeded the per-share earnings of $2.54 on revenues of $38.12 billion expected by analysts polled by LSEG. AMD News - The semiconductor maker rose about 11% after it inked a multiyear deal with Meta to lend up to 6 gigawatts of its graphics processing units to artificial intelligence data centers. - The cost of the deal is unclear, but the companies' agreement includes a a performance-based warrant that could amount to up to 160 million of AMD shares, according to a statement dated Tuesday. - Meta has committed to deploying up to 6 gigawatts (GW) of AMD's Instinct GPUs (high-end graphics processing units optimized for AI workloads) to power its massive AI data centers. - Analysts estimate the GPU portion alone could be worth $60–$100+ billion over 5+ years Mortgage Rates - The average rate on the popular 30-year fixed mortgage fell to 5.99% on Monday, according to Mortgage News Daily, matching its lowest levels since 2022. - Last year at this time the rate was 6.89%. - A buyer putting 20% down on the median priced home, about $400,000 according to the National Association of Realtors, would have a monthly payment of $1,916 for the principal and interest. One year ago, that payment would have been $2,105, a difference of $189. Life Insurance Record - Manulife Financial Corp. sold a $300 million life insurance policy in Singapore, topping what Guinness World Records certified as the most valuable policy ever issued. - The policy surpasses the previous record of $250 million, set by HSBC Life in Hong Kong in 2024. Manulife said in a statement Tuesday that the deal reflects growing demand from ultra-wealthy clients to preserve their assets. - In Singapore over the past 12 months, Manulife has issued 25 individual policies each worth more than $50 million. Bitcoin Rout - Gemini said it was axing as much as a quarter of its staff and exiting the UK, European Union and Australia entirely. - This week, it parted with its chief operating officer, chief financial officer and chief legal officer, all in a single day. - Its stock has fallen more than 80% from a post-listing high last year, collapsing its market value from a peak of almost $4 billion to under $700 million. Over the Greenland - USA sending a "hospital ship" over - Trump's post on the ship came hours after Denmark's Joint Arctic Command said it had evacuated a crew member who required urgent medical treatment from a U.S. submarine in Greenlandic waters, seven nautical miles outside of Greenland's capital, Nuuk. - Greenland said thanks but no thanks So Long! - U.S. investors are pulling money out of their own stock market at the fastest pace in at least 16 years as Big Tech returns fade and better-performing overseas markets look more attractive. - In the last six months, U.S.-domiciled investors have pulled some $75 billion from U.S. equity products, with $52 billion flowing out since the start of 2026 alone, the most in the first eight weeks of the year since at least 2010 AI Disruption - DOD (Disruption of Disrupters) - CrowdStrike -9.8% and other cybersecurity names under heavy pressure again as AI disruption fears build following Anthropic's Claude Code release - - Cybersecurity stocks are under broad pressure today, extending recent weakness following Friday's launch of Claude Code Security by Anthropic. Claude Code Security scans codebases for vulnerabilities and suggests software patches for human review, fueling a narrative that AI platforms may be moving more quickly into parts of the security workflow than investors had previously expected. For cybersecurity, that raises concern around the forward demand outlook and competitive positioning, particularly in areas tied to application security, cloud security, identity workflows, and security operations automation, where AI-native tools could start to narrow perceived differentiation. - The move suggests investors are still sorting through the implications for product overlap, pricing power, and competitive positioning as AI capabilities evolve quickly. - IBM shares dropping toward lows of the session; attributed to news that Claude can automate cobol modernization COBOL (Common Business-Oriented Language) is a high-level, English-like programming language created in 1959 for business, finance, and administrative data processing. It is renowned for its verbosity, readability, and reliability, processing massive amounts of transactions on mainframe systems,, notes NetCom Learning and IBM. Despite being decades old, it remains critical in banking, insurance, and government sectors. - It is estimated that 70-80% of the world's business transactions are processed by COBOL Grok's Prediction about Future of OpenAi/ChatGPT Scenario Likelihood (My Estimate) Key Factors Outcome for OpenAI/ChatGPT Thriving Leader Medium (40%) Sustained breakthroughs, partnerships (e.g., Microsoft), regulatory wins OpenAI as AI giant; ChatGPT as ecosystem hub for agents/robots Evolved Survivor High (50%) Adaptation to agents/hardware; mergers Exists but rebranded; ChatGPT integrated into daily life tools Decline/Acquisition Low (10%) Overcompetition, funding collapse Absorbed or legacy; ChatGPT commoditized or obsolete Quick check on Europe Shares - European company earnings growth is picking up this reporting season against a tentatively improving economic backdrop, but wary investors are demanding more than solid results to justify sky-high valuations. - Companies representing 57% of Europe's market capitalization have reported so far, achieving average earnings growth of 3.9% in the fourth quarter, ahead of estimates for a final result of a contraction of 1.1% --- That is a big differential.... +3.9 vs -1.1 Iran Talks - News over the weekend that Iran will look to discuss a variety of items and potentially get a deal.... energy, mining and aircraft - Best guess: Iran will string us along like Russia is doing and we will say we have some kind of bogus deal. --- There is some talk of US "going in" as we are building military presence. Supposedly there are some saying it could be a multi-week incursion. - What is the plan - Regime change? What is this? - A divided Supreme Court on Tuesday ruled that Americans can't sue the U.S. Postal Service, even when employees deliberately refuse to deliver mail. - By a 5-4 vote, the justices ruled against a Texas landlord, Lebene Konan, who alleges her mail was intentionally withheld for two years. Konan, who is Black, claims racial prejudice played a role in postal employees' actions. - Justice Clarence Thomas, writing for a majority of five conservative justices, said the federal law that generally shields the Postal Service from lawsuits over missing, lost and undelivered mail includes “the intentional nondelivery of mail.” - So can ballots just be thrown in garbage for mail-ins for one party that will throw out another party's?     Love the Show? Then how about a Donation? HE CLOSEST TO THE PIN for CATERPILLAR Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!     FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

In this episode of the Launch Your Box Podcast, I'm welcoming back Lauren Jacobs of The Cheerful Baker. You might remember Lauren as the incredibly talented cookie decorator who leveraged her appearance on the Christmas Cookie Challenge on Food Network to launch a cookie cutter subscription box. For years, she wondered whether her box was best suited for hobby bakers, business owners, or casual decorators. Instead of continuing to guess, she sent a short survey to her subscribers and gathered real feedback. Then she took that survey data, along with her subscriber list and demographic information, and uploaded it into ChatGPT to help her analyze it. What she received back was surprisingly detailed. It identified patterns in age, location, business ownership, and behavior that she had never clearly articulated before. For the first time, she felt confident that she understood who she was actually serving. The results didn't explode overnight, but they built steadily. She monitored her campaigns inside Ads Manager, allowed them time to optimize, and then made adjustments based on performance. One variation - a chicken-themed design - began outperforming everything else. She turned off the weaker ads and allowed Facebook to allocate the budget toward the winning creative. That single campaign brought in more than 80 new subscribers and nearly doubled her box. What changed was her understanding of acquisition cost and lifetime value. Once she understood how much it cost her to acquire a subscriber and how long that subscriber typically stayed, she stopped viewing ad spend as loss and began seeing it as investment. That shift in mindset removed a tremendous amount of fear. Then she exported four years of Shopify sales data and used ChatGPT to help her identify patterns in growth, seasonality, and subscriber behavior. The analysis revealed something powerful: her subscription had grown an average of 26% every year. It also showed clear seasonal trends in acquisition and cancellations. With that information, she built a subscriber growth forecast for the year. She matched her strongest themes with historically strong acquisition months. She set realistic monthly goals instead of vague annual hopes. And for the first time, she could see the year mapped out in front of her. Lauren's subscription box has paid for both of her sons' college tuition and living expenses. Her oldest is graduating this year. Her youngest is halfway through. Her goal was never to build a million-dollar business. It was to send her children into adulthood debt-free. And she has done exactly that. She has also grown into a confident, data-informed business owner along the way. What I love most about Lauren's journey is that she did not start out organized or analytical. She started by being creative, hopeful, and willing. Over time, she layered in systems, strategy, and data. That progression is available to anyone who is willing to implement what they learn. If you've been operating on instinct alone, this episode is your invitation to add structure to your creativity. The combination is powerful. Join me for this episode of the Launch Your Box Podcast and learn how Lauren used surveys, data, and ads to transform her business without losing the heart behind it. Where to find Lauren:  The Cheerful Baker on Facebook  The Cheerful Baker on Instagram The Cheerful Baker Website Join me in all the places:     Facebook Instagram Launch Your Box with Sarah Website  Are you ready for Launch Your Box? Our complete training program walks you step by step through how to start, launch, and grow your subscription box business. Join the waitlist today!

There are two things most people agree on — artificial intelligence is rapidly advancing, and the grave risks AI poses are very real — no one, not even ChatGPT, really knows how this will play out. Renowned “Godfather of AI” Geoffrey Hinton argues we need to put the brakes on AI development until we know for sure it can be kept safely under control.Owain Evans is a leading AI researcher and the founder/director of Truthful AI. In his 2025 Hinton lecture series, organized by the AI Safety Foundation, he discusses the risks presented by AI, the means at our disposal to keep it escaping human control, and the challenges of developing coherent, comprehensive strategies to prevent AI from becoming a menace to humankind.Have time for one more podcast? Don't miss our feature interview with AI pioneer Geoffrey Hinton: Why AI needs to be nicer to us and develop 'maternal instincts'

Send a textIn this episode of The Advanced Selling Podcast, Bryan Neale welcomes Kayla Kurtz, VP of Sales and VP of Business Development at Forthea, for a focused conversation on how AI is reshaping modern sales.Kayla shares how aligning sales and marketing improves lead quality and eliminates the “bad lead” blame game, before diving into practical ways sellers can use AI tools like ChatGPT and Copilot to refine emails, personalize outreach, and prepare for complex conversations. Bryan and Kayla also address the risks of inaccurate AI outputs and why positioning insights as questions, and not facts, protects credibility.They close by exploring how buyers are using AI to research vendors and negotiate more strategically, challenging sales teams to elevate their preparation and technical depth. The episode reframes AI as a tool that sharpens execution without replacing relationship-driven selling.______Curious about certification in the Blind Zebra Sales Operating System? Learn more here.Turn your content into clients with the proven roadmap — join Insider today at advancedsellingpodcast.com/insider

If you're constantly re-explaining your voice, your offers, or your standards to ChatGPT, this episode is your reset. I'm walking you step-by-step through how to build your own custom GPT so it thinks like you, edits like you, and follows your exact rules. No more starting from scratch. Just a smarter system that supports your content, protects your voice, and saves you serious time. RESOURCES MENTIONED NOTE: Some links below contain affiliate/referral links. It is a way for this site to earn advertising fees by advertising or linking to certain products and/or services. DISCOUNT: Code for 30+ free days of Podcast Audio Hosting through Libsyn: bossgirl RESOURCE: Need a Podcast Editor? Hire mine & tell him I referred you…The Podcast Man WORK WITH ME: Back Pocket VIP Coaching YOUTUBE CHANNEL: Subscribe >> The House of Sugar Creek MY BOOK: Snag a copy! Pillars & Purpose: How to Build a Business That Works for You RESOURCE: Contract Templates for your Business YOUTUBE CHANNEL: Subscribe to the BGC YouTube Channel and listen to my episodes via YouTube! MY 90-DAY UNDATED PLANNER: Buy it here! RESOURCE: Receive 20% off your first month or your first year with Dubsado RESOURCE: Receive 50% off your first full year with FloDesk (+ a 14-day free trial) LEAVE A MESSAGE: Click Here SEARCH BAR CONFESSIONS: Starts at 10:57 BUSINESS NUGGET: Starts at 13:59 RESOURCE: Try Manychat for 2 weeks for free RESOURCE: Check out Hilma products – $10 off for ya! RESOURCE: The Clarity Catch-Up Mini Workbook (FREEBIE) RESOURCE: The Clarity Code (reflection deck) RESOURCE: The Clarity Shot EPISODES YOU MIGHT ALSO ENJOY... EPISODE 558 – 153 FOLLOWERS IN A YEAR, 121 IN A DAY, WHAT CHANGED? EPISODE 549 – STOP WAITING ON THE ALGORITHM (IT'S NOT 2013 ANYMORE) EPISODE 509 – THE ONE ABOUT JOY VS HAPPINESS EPISODE 449 – MY SOCIAL EXPERIMENT EPISODE 409 – THE DARK SIDE OF ENTREPRENEURSHIP & CREATIVITY EPISODE 359 – THE IMPORTANCE OF CELEBRATING YOU EPISODE 309 –  WHY IT'S IMPERATIVE TO SET BOUNDARIES IN BUSINESS EPISODE 209 – THE KEY TO CONFIDENCE FOR CREATIVES EPISODE 159 – BLOG NO-NO'S (DON'T BE THAT BLOGGER) FIND TAYLOR ONLINE... Blog – The House of Sugar Creek Instagram – @taylorlbradford Facebook – bossgirlcreative Pinterest – thehouseofsugarcreek TikTok – @taylorlbradford YouTube – The House of Sugar Creek YouTube – Boss Girl Creative

Season 11 of Fixing Healthcare continues its shift away from the traditional top-down model of interviewing CEOs, policymakers and medical leaders to focus this week on something new, different and fascinating: listening to the generation that is inheriting this American healthcare system. In this episode, Dr. Robert Pearl and Jeremy Corr speak with Grace Lynn Keller, VP at Executive Podcast Solutions, former Miss America contestant and the show's first-ever Gen Z guest. Grace brings a rare vantage point: Professionally, she is immersed in conversations with healthcare executives. Personally, she is part of the generation that consumes health information through social media, wearables and AI tools. For healthcare professionals, the conversation offers an important lens on how Gen Z gathers health information, how they decide when to seek care and what they expect from clinicians, insurers and government leaders. One insight stood out immediately. When asked where she would turn first with a non-emergency symptom, Grace answered without hesitation: ChatGPT. Her answer signals how much the healthcare landscape is changing. While Gen Z may turn to generative AI for initial medical advice, that is only one piece of a broader shift. In this conversation, Grace outlines how her generation is redefining health, prevention and trust. Key insights include: Verification Over Blind Trust. Gen Z does not simply accept what it reads online. Grace describes a culture of cross-referencing, double-checking and comparing sources across platforms before acting. Prevention As Identity. Her generation emphasizes whole foods, ingredient awareness and minimizing processed products. Health is considered a long-term lifestyle investment rather than reactive medical intervention. Wearables As Standard Equipment. Smart watches and rings are commonplace. Continuous data on sleep, movement, heart rate and hormonal cycles shape daily decisions and reinforce prevention. Convenience And Cost Sensitivity. Time away from work, co-pays and scheduling delays influence care decisions. If reliable AI-based treatment were available for routine conditions, many Gen Zers would use it immediately. Mental Health As Mainstream. Therapy is normalized. Work-life balance is considered protective, not indulgent. “Mental health days” may frustrate older generations but are viewed as necessary boundaries by younger workers. Skepticism Of Bureaucracy. Insurance complexity is a major frustration. Deductibles, out-of-pocket maximums and opaque pricing create confusion for first-time independent users. Demand For Transparency. Grace compares healthcare to e-commerce: if nearly every other industry offers clear pricing and frictionless purchasing, why not medicine? Alcohol And Cultural Moderation. Among her peers, alcohol consumption is more situational and less habitual. Health-conscious decision-making extends beyond diet and exercise. Education Gaps. Public school health education was limited largely to sex ed and anti-drug messaging. She sees schools as the only scalable venue to improve health literacy nationwide. There's so much more to this episode. Tune in to find out what the next generation of patients expects from doctors, nurses and healthcare leaders. Helpful links “From TikTok to Telehealth: 3 Ways Medicine Must Evolve to Reach Gen Z” (Fulcrum) “Why younger patients turn away from doctors & toward GenAI” (Fixing Healthcare podcast) “Healthcare Regulators' Outdated Thinking Will Cost American Lives” (Forbes) “ChatGPT, MD: How AI-Empowered Doctors and Patients Can Take Back Control of American Medicine” (Pearl's newest book) * * * Fixing Healthcare is a co-production of Dr. Robert Pearl and Jeremy Corr. Subscribe to the show via Apple, Spotify, Stitcher or wherever you find podcasts. Join the conversation or suggest a guest by following the show on Twitter and LinkedIn. The post FHC #206: What Gen Z expects from healthcare & why it matters appeared first on Fixing Healthcare.

In this episode we answer listener questions covering emergency funds for higher and additional rate taxpayers, and inheritance tax considerations around beneficiary SIPPs. We also discuss whether couples should rebalance pension contributions, the key steps to take before retiring abroad, and what to know about DB pension transfers. Finally, we look at cross-border pension taxation using the UK–Denmark double taxation treaty as an example. Shownotes: https://meaningfulmoney.tv/QA40    01:20  Question 1 Hi Pete & Roger, Thanks for all your helpful and easy to understand information. I have only been on my financial wellbeing journey for a year.  I work in the NHS and am in a higher tax bracket. I am fully enrolled in the NHS pension, more out of previous disinterest than any actual action on my part. I am single and currently saving up for a down payment on a house in about 4/5yrs. I maxed out my ISA last year and expect to do the same this year; this includes money for the down payment. I also took out a SIPP which I only recalled last year; I took it out 20+ years ago. However I am still waiting for a statement from the pension office before my accountant can work out how much more I can add to the SIPP.  In the interim I have my emergency fund in a premium bond (20k) but am worried it's being eroded by inflation. I expect to be an additional tax payer in the next few years. Where should I keep my excess cash? More in premium bonds with no tax but erosion by inflation; or open GIA or more in high interest savings account and pay the tax? Or is there another option you would recommend? Btw I have £600 in crypto (Coinbase and Etherium) but don't plan to put more than £400 more in then plan to forget about it. It's a tiny fraction of what I put in my ISA. Thanks, Joy   04:46  Question 2 Dear Pete and Roger. Love the podcast. I think it is essential listening for those wanting to elevate their knowledge of the incredibly important subject of financial planning and it also highlights the value add that financial professionals can provide. My mother is 79 and has a comfortable guaranteed inflation linked income via state and civil service pension, which is supplemented by savings (maxed premium bonds & healthy cash savings) and investments held in ISAs and a beneficiary SIPP from my late father who passed before 75yrs old (therefore the assets are income and CGT free). My mother is keen to minimise the IHT on the estate both her and my father worked so hard to create. Despite her comfortable situation, I still have to encourage her to spend and use your very helpful '40% off sticker' analogy on a regular basis. It is my understanding that SIPPs will be subject to IHT and income tax from 2027. As my sister and I are both additional rate taxpayers, we will potentially be subject to 67% tax on any assets remaining in the SIPP if the estate is above £1m IHT threshold. While the '67% off sticker' analogy is even more helpful to encourage her spending, it has triggered some planning. We are drawing down the beneficiary SIPP to fund ISA each year for my mum – keeping the income and CGT tax benefits for my mum while removing it from the double income and IHT tax on death. As part of the IHT planning we are now considering regular gifts from surplus income. When combined with her guaranteed income, the assets in the beneficiary SIPP are more than sufficient so sustain her lifestyle until her age would be well into three figures. Based on my reading, it appears any drawdown from SIPPs are considered 'income' for gifting purposes, regardless of if they come from capital or income. Therefore she could start to draw more 'income' from the SIPP and gift this surplus which could be considered IHT free. Are there any limits to how much or how quickly she could reasonably drawdown from a SIPP so that it would no longer be considered 'income' by HMRC for IHT purposes? i.e could she empty the SIPP over a 5 yr period, gift that as excess income, then reduce the gifts to reflect a different income and or expenditure? While all the drawdown from SIPPs is considered 'income' for IHT purposes, the treatment of withdrawals from ISAs or other investments are distinguished between whether they are actually capital or income. Therefore, we have the added complication of needing to balance the 'income' drawdown from the beneficiary SIPP to make sure she doesn't eat into 'capital' of the ISAs and savings which would then mean the gifts from regular surplus income would then be considered part of the estate again. Our circumstances mean my mum feels slightly trapped between keeping the SIPP (so it is considered income for gifts from regular income but gets IHT taxed at 67%), continuing to use the beneficiary SIPP to fund ISAs (reduce IHT liability but lose flexibility to gift it as income), maybe change the investment engine of the ISAs from a lower yielding balanced solution to something with a higher natural yield, or do something else altogether (lump sum gifts and hope to survive 3yrs for taper or 7yrs). Any thoughts or suggestion would be appreciated. While there are some relatively niche circumstances, I think it covers two more broadly applicable IHT planning considerations SIPPs v ISAs under the new rules and regular gifts from surplus income. Thanks in advance Stephen   17:06  Question 3 Hi Pete and Roger Thank you both for your continued help in navigating the financial maze and I am enjoying the listener questions. My wife works part time and is a basic rate tax payer. She pays into her workplace pension and contributes an additional 15%. Her pension provider receives 20% tax relief on these contributions. I am a higher rate tax payer and I make contributions to a SIPP. My pension provider receives 20% tax relief and I claim an additional 20% directly from HMRC. As a couple, we could stop making the additional contributions to my wife's pension and instead make them into my SIPP. This would give us an additional 40%, rather than 20%. Mathematically this makes sense. We haven't done this so far, as I like the idea that we are equally contributing to both of our pensions, for the future. It also helps keep things simple. I am mindful that one day, we may kick ourselves for not making this simple switch which may leave us with a significantly bigger pot, when we need it. What options would you consider in this decision of splitting pension contributions. Many thanks, Rob 20:17 Question 4 Dear Pete & Rog, I just wanted to say a heartfelt thank you for your podcast and the incredibly valuable information you share. Your conversations are not only insightful but also reassuring as I start to think more seriously about my own retirement planning! One of the things I'm considering is retiring abroad (somewhere sunny!) Spain most likely, and I wondered if you might explain the process you go through with such clients. Specifically, do you have a checklist, or a list of key questions, that you typically ask clients to work through before moving overseas? For example, I've learned that ISAs are not recognised in many EU countries (so it may be better to sell before leaving), and I imagine there are similar considerations around SIPPs/UK DC pensions and other investments. Do you also tend to liaise with financial planners or accountants based in the EU when helping clients prepare for such a move? I would be very grateful for any wisdom you could share. Thanks again for all the work you put into the podcast, it really does make a difference. Warm regards, Chloe 24:55  Question 5 Hi Pete, Love the podcast.  Very informative and user friendly. I have a question, once popular but maybe not so much now and one that will make advisers sweat again! I'm a sophisticated investor (so to speak!), I manage my own SIPP etc and I'm an accountant so I guess I have a head start over most people.  I have a net worth excluding my house of circa £2.5m spread across a SIPP, ISA, FIC and GIA. I also have an old DB pension.  I'm 59.  It pays out circa £6,500 from the age of 65.  My dad died aged 63.  Given my circumstances I want to transfer the DB scheme into my SIPP.  I have two children so would like them to get it rather than die with me so to speak.  The last transfer value I got was pre covid at circa £100k which I know isn't a brilliant multiple but I'm happy with that.  I'm fit and healthy but I'm not relying on the guaranteed pension given my other pension provisions. So, firstly is it likely the transfer value would have gone up or down given the increase in interest rates and secondly do you think I could get a positive recommendation from an adviser? Thanks, Oscar 31:35  Question 6 Dear Pete and Roger, Love the podcast. I'm a bit more of an adventurous investor than you usually caution, but you provide a certain "passive-tracker-Yin" to my "property-investment-Yang". Given your backlog I'm going to ask you a pension question that I probably don't have to think about for 20 years, so you have time to get to it. I worked in Denmark for several years and paid into a pension scheme while I was there. I believe it is structured similarly to a UK DB pension scheme. There is an initial lump sum plus an income for life.  This pension fund is not covered by QROPS, so there is no transferring my way out of this complexity. The Danish pension fund thinks I'll be paying Danish income tax (presently 37-38%), Chat GPT is adamant that I'll be paying UK Tax. Who's right? If taxed in the UK I can imagine getting the tax free cash allowance right might be complicated. Is there anything else I should be considering? Best Wishes, James

In this masterclass episode of the We Don't PLAY!™️ Podcast, host Favour Obasi-ike, MBA, MS tackles a critical question for 2026: Is blogging still a cornerstone of a successful social business? The answer is a resounding YES. Favour Obasi-ike reveals that businesses with active blogs generate a staggering 67% more leads.This episode is a deep dive into the art and science of using blogs to drive social business revenue and achieve sustainable startup growth secrets. Favour breaks down the technical SEO behind a powerful blog, from understanding sitemaps as the "brain" of your website to structuring your content with a masterclass on headings (H1, H2, H3) and ideal word count (600-2,500 words).Learn actionable SEO tactics and content marketing strategies, including how to leverage Pinterest SEO and its 96% non-branded search traffic, the power of repurposing content, and why your business should aim for at least one blog post per week. Favour also touches on the future, discussing AI marketing, prompt gaps vs. keyword gaps, and how blogging principles apply to App Store Optimization (ASO). This is a must-listen for anyone looking to master digital marketing, boost organic traffic, and understand the long-term ROI of a robust blogging strategy.Episode Timestamps / Timeline[00:13] The Core Stat: Why blogs generate 67% more leads.[01:08] Technical SEO 101: Understanding sitemaps and search engine indexing.[04:02] Content Strategy: Supporting products with listicles, FAQs, and rich media.[05:18] Local SEO: How blogging gives you a local-based advantage.[09:02] Blogging Masterclass: The perfect structure for a high-ranking blog post.[25:00] Off-Page SEO: The power of backlinks and being featured.[28:49] Advanced SEO: Using Wikipedia and Reddit for credibility and traffic.[33:46] Case Study: How Canva used blogging to dominate the market.[35:01] Pinterest SEO Deep Dive: Tapping into non-branded search.[37:52] The ROI of Blogging: Low effort, high impact for long-term growth.[38:46] Beyond Websites: Applying blogging concepts to App Store Optimization.[41:04] The 520-Blog Rule: A benchmark for established businesses.Frequently Asked Questions (FAQs)Is blogging still valuable in 2026?Absolutely. According to the episode, businesses with active blogs generate 67% more leads and establish crucial brand visibility and authority.How does blogging improve SEO?Blogging expands your website's sitemap, creating more opportunities for indexing. It allows for strategic keyword research implementation, internal/external linking, and building off-page SEO through backlinks.What is the ideal length and structure for a blog post?Aim for a 5-minute read, which is about 600-2,500 words. Structure it with a clear hierarchy of H1, H2, and H3 tags, and keep paragraphs concise (1-3 sentences).How can I use blogging for my social business?Use your blog as a central hub for your content marketing. Repurpose social media posts into detailed articles, embed videos and social feeds, and use your blog content to fuel your email marketing and ad campaigns.Book SEO Services | Quick Links for Social Business>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book SEO Services with Favour Obasi-ike⁠>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Purchase Flaev Beatz Beats Online>> Favour Obasi-ike Quick LinksSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Excess Returns, we sit down with Matt Russell of Business Breakdowns to explore how AI is actually being used in investing today. We go beyond the hype and break down practical use cases for AI in portfolio management, stock research, due diligence, monitoring, and idea generation. From deep research models and agentic AI to prompt engineering and workflow design, this conversation walks through how professional investors can use AI tools to increase productivity, improve decision-making, and reduce blind spots without losing their edge. If you are an asset manager, analyst, allocator, or DIY investor wondering how AI will impact investing and stock picking, this episode offers a clear, practical roadmap.Main topics covered:The evolution from early large language models to deep research and agentic AI for investorsLLMs vs agent-based AI and why the distinction matters for investment researchHow AI fits into an investor's workflow, from due diligence to portfolio monitoringUsing AI to monitor KPIs, earnings calls, and cross-industry signals in real timeHow AI can help kill bad ideas faster and surface deal breakers earlyPrompt engineering for investors, including mindset framing, audience targeting, and output designBuilding mental models into AI systems to reflect your investment philosophyAI tech stacks for investors, including writing tools, deep research models, and browser-based AIIteration, experimentation, and standardized testing of prompts across model upgradesThe impact of AI on alpha generation, active management, and generalist vs specialist investorsOrganizational adoption strategies for investment firms considering AICustomization, agentic workflows, and what AI in investing could look like five years from nowTimestamps:00:00 How AI tools increase investor productivity01:16 Why early ChatGPT was a head fake for investors03:07 The inflection point with deep research and agentic AI05:00 LLMs vs agents explained in plain English07:01 Where AI fits inside an investment workflow09:28 Replacing manual earnings transcript work11:40 Real-time monitoring and AI alerts19:24 Using AI to kill bad investment ideas faster22:01 Trust but verify, hallucinations and safeguards25:29 Matt's AI tech stack for investing30:00 Prompt engineering breakthroughs33:00 Standardized experimentation across new AI models36:07 Building idea generation prompts step by step40:15 Using AI as an editor and critical reviewer43:50 Does AI compress investor skill differences46:10 How funds should adopt AI internally50:40 Fear of falling behind in asset management53:05 Generalists vs specialists in an AI world55:18 AI and the pursuit of alpha57:00 Customization, agents and the future of investing01:01:10 Coding agents and building tools with AI

Paul Noon ( aka The AI Professor) joins the show to give a full under-the-hood walkthrough of Google's NotebookLM. Paul's been using this tool daily in his business and personal life, and he breaks down exactly how it works, why it's different from ChatGPT or Gemini, and the real-world use cases that make it a must-have for any business owner. The best part? It's completely free.This episode was inspired by Paul's viral "Top 25 NotebookLM Tips" video on YouTube — this is the deeper dive.Check Paul's YouTube channel: https://www.youtube.com/@TheProfessor-AI

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM This episode explores how organisations can move from AI curiosity to real value using Microsoft Copilot and agents, drawing on practical insights from Yves Habersaat. The conversation focuses on adoption that starts where people already work, keeps early use cases simple, and scales only when the need is clear. It also covers real-world agent scenarios, model choice, and why low-code tools are often enough to deliver results quickly. 

" What in the Silicon Valley ethos of move fast and break stuff would make us expect that they are going to have any real safety concerns at all?"A new report from the Wall Street Journal reveals the U.S. tech company OpenAI knew of troublesome ChatGPT usage by Jesse van Rootselaar, months before the Tumbler Ridge shooting, and did nothing. The news stoked ongoing calls for better guardrails on A.I. chatbots and beyond.Will Canada's A.I. Minister Evan Solomon decide to “ignore all previous instructions” from Silicon Valley, and ramp up regulation of A.I.?Freelance journalist Luke Savage joins host James Nicholson to discuss.Host: James Nicholson Credits: James Nicholson (Producer), Kallan Lyons (Associate Producer and Fact Checking), Caleb Thompson (Audio Editor and Technical Producer), max collins (Director of Audio), Jesse Brown (Editor)Guest: Luke Savage Further reading: OpenAI Employees Raised Alarms About Canada Shooting Suspect Months Ago | The Wall Street JournalOpenAI did not mention Tumbler Ridge shooter's posts in meeting with B.C. officials day after mass shooting: province | The Globe and MailEvan Solomon teases new AI laws as experts warn Canada is behind international peers | BetakitCanada Still Has No Meaningful AI Regulation | Canadian Centre for Policy AlternativesSeven Lawsuits Allege OpenAI Encouraged Suicide and Harmful Delusions | The Wall Street Journal Sponsors: Fizz: Visit fizz.ca and activate a first plan using the referral code CAN25 to get 25$ off and 10GB of free data.Douglas: Douglas is giving our listeners a FREE Sleep Bundle with each mattress purchase. Get the sheets, pillows, mattress and pillow protectors FREE with your Douglas purchase today. Visit douglas.ca/canadaland to claim this offer.BetterHelp: Visit BetterHelp.com/canadaland today to get 10% off your first month.If you value this podcast, Support us! You'll get premium access to all our shows ad free, including early releases and bonus content. You'll also get our exclusive newsletter, discounts on merch at our store, tickets to our live and virtual events, and more than anything, you'll be a part of the solution to Canada's journalism crisis, you'll be keeping our work free and accessible to everybody. Hosted on Acast. See acast.com/privacy for more information.

Are you using Chat GPT to do EVERYTHING?! See omnystudio.com/listener for privacy information.

AI is everywhere right now — ChatGPT, Claude, Gemini, etc. And, as an equine business owner, you've probably heard, “If you're not using it, you're falling behind.”But what if that's the wrong way to think about it?In this episode, we're talking about how to use AI for your equine business without losing your voice and giving up your power as the owner and strategist of your business. I'll walk you through a proactive approach to using AI as your marketing assistant. Plus, you'll get three practical ways you can use it beyond just “write me a caption.”It's the same mix of strategy + mindset + practicality you've come to expect from me on this podcast. Let's dive in. Show Notes (also known as “Where to read a quick summary of what we talked about here and get links I mentioned.”) are over at Stormlily.com/207

OpenAI banned the Tumbler Ridge school shooting suspect's ChatGPT account months before the attack, but didn't alert police. On Tuesday Canada's AI minister summoned the company's safety team to Ottawa to explain its reporting protocols. Emily Laidlaw, a cybersecurity law expert and Canada Research Chair at the University of Calgary, joins us to explain who decides when AI companies escalate threats — and whether that threshold should be written into law.

Mita is on a mission to watch Martin Scorsese's entire filmography and wanted "...options for the best Martin Scorsese films from the 2000's". Chat GPT had some opinions and suggested "Shutter Island" from 2010 for the next movie review. Nadeem finally lists his top 10 films of 2025. 

Die kanadische Regierung hat Vertreter von OpenAI – die Firma hinter ChatGPT – zu sich zitiert. Denn nach dem Attentat von vor zwei Wochen auf eine Schule in Westkanada mit acht Todesopfern wurde klar, dass die mutmassliche Täterin OpenAI schon vorher aufgefallen war. Digitalredaktor Jürg Tschirren. · Der Ukraine-Krieg dauert mittlerweile schon über vier Jahre an. Putins Krieg hat in Europa zu einem Umdenken geführt: Es fliesst mehr Geld in die Rüstung. Wirtschaftsredaktor Manuel Rentsch erklärt, wie die Rüstungsindustrie von diesem Krieg profitiert. · Steht ein US-Angriff auf den Iran bevor? Seit Wochen wird darüber spekuliert. Denn die USA ziehen Truppen in der Gegend zusammen. Wie wahrscheinlich ein militärisches Eingreifen der USA ist, erklärt Joachim Weber, Senior Fellow für Strategische Vorausschau und Risikoanalyse am Cassis Strategiezentrum der Universität Bonn. · Der Fall Jeffrey Epstein gibt weiter zu reden. Am Montag wurde der frühere britische Botschafter Peter Mandelson in London festgenommen, weil er dem Sexualstraftäter Jeffrey Epstein sensible Dokumente weitergegeben haben soll. Mittlerweile ist er auf Kaution frei. Paula Diehl ist Politik- und Kommunikationswissenschaftlerin an der Universität Kiel und erörtert, wie gefährlich der Epstein-Fall für das Vertrauen in die Politik ist.

Renue Healthcare https://Renue.Healthcare/Todd Your journey to a better life starts at Renue Healthcare. Visit https://Renue.Healthcare/Todd Bulwark Capital https://KnowYourRiskPodcast.com Be confident in your portfolio with Bulwark! Schedule your free Know Your Risk Portfolio review. Go to KnowYourRiskPodcast.com today. Alan's Soaps https://www.AlansArtisanSoaps.com Use coupon code TODD to save an additional 10% off the bundle price.Bonefrog https://BonefrogCoffee.com/Todd Get the new limited release, The Sisterhood, created to honor the extraordinary women behind the heroes. Use code TODD at checkout to receive 10% off your first purchase and 15% on subscriptions.LISTEN and SUBSCRIBE at:The Todd Herman Show - Podcast - Apple PodcastsThe Todd Herman Show | Podcast on SpotifyWATCH and SUBSCRIBE at: Todd Herman - The Todd Herman Show - YouTubeThe Anti-Human Ideology of OPEN AI's Sam Altman // NY-Times Writer Baffled By NY-Times Readers Running Schools //  One Of These Guys Is An MD, Writer of 40 Books & Works for Oprah: The Other Is SmartEpisode links:Insane: Meta's Director of AI Safety and Alignment gave OpenClaw bot full access to her computer and email. She couldn't stop it from deleting her entire inbox. She's supposed to guardrail Meta's AI and future AGI.Months before Jesse Van Rootselaar became the suspect in the mass shooting that devastated a rural town in British Columbia, Canada, OpenAI considered alerting law enforcement about her interactions with its ChatGPT chatbot, the company said - The shooter was a man.SAM ALTMAN: “People talk about how much energy it takes to train an AI model … But it also takes a lot of energy to train a human. It takes like 20 years of life and all of the food you eat during that time before you get smart.”This teacher-turned-cognitive scientist shared a disturbing reality that left the room stunned. “Our kids are LESS cognitively capable than we were at their age.” Every previous generation outperformed its parents since we began recording in the late 1800sVIDEO | Child, 11, accused of killing father arrives at PA court hearing in handcuffsAG Uthmeier CHEERS lawsuit against Mark Zuckerberg over social media being designed to be addictive! “Kids, they won't peel their eyes off the screens these days. The unlimited scrolling, the push notifications, videos that start by themselves, all these different techniques to make it where you can't even put the phone down. We see evidence of mental health disorders, heightened tendencies for suicide, eating disorders, an obsession with image. This is not healthy for young people. It's addictive. It's harmful.” Dr. John Demartini, who writes for Oprah & starred in “The Secret” just said the children who have been raped —- attracted it into their lives —  and then ends by saying there's upsides to the murder of kids, too. Ps. Yes. He's in the Epstein files.UFC fighter Paddy Pimblett on men and suicide

Is AI here to replace novelists, steal ideas, or ruin copyright forever? Let's separate fear from facts.AI and creative writing are among the most debated topics in the publishing industry right now. Some writers are excited, while others are feeling cautious. And many are wondering what's actually true about AI, copyright law, idea theft, and querying agents.In this episode, I sit down with award-winning novelist and technologist Ana Del Valle to unpack what AI really means for fiction writers. Ana is the founder of the AI Creative Writing Academy and host of The Novelist Studio podcast, bringing both tech expertise and creative insight to this conversation.Here's what we cover:[02:54] How Ana's background in tech and fiction collided when ChatGPT launched, and why she believes we're entering a new golden era of literature.[05:56] The crucial difference between AI Assist and AI Generation, and why this distinction protects your voice, ownership, and copyright.[11:55] The truth about whether ChatGPT can steal your story ideas, plus what those scary AI lawsuits actually mean for writers.[14:38] How U.S. copyright law handles AI-created work, and why heavily editing AI-generated drafts can put writers in murky territory.[21:01] Whether you need to disclose AI use when querying agents, and how traditional publishing is already integrating AI behind the scenes.Whether you're AI-curious or AI-cautious, this episode will give you the clarity you need to make informed decisions about using AI in your writing process.Tune in now.

DarkHorseEntrepreneur.com Why 82% of Parents Are Using ChatGPT Wrong (And How the Smart Ones Save 20 Hours Weekly) Episode Summary In this episode, Tracy Brinkmann dives deep into how parent entrepreneurs can leverage AI tools like ChatGPT and Claude to boost productivity and streamline their online entrepreneurship journey. Discover proven AI strategies designed specifically for busy parents juggling side hustles and family life. Learn how smart marketing strategies and digital marketing tips can help you make money online efficiently.   Tracy breaks down four core AI principles that transform this technology from a basic search tool into a powerful automation engine that works while your kids sleep. Whether you're new to AI or struggling with generic AI responses, this episode will change the way you approach AI for your digital products, marketing efforts, and overall business growth.   Stay tuned for actionable entrepreneur tips on strategic AI prompting, email strategy automation, and digital courses creation that help build passive income streams. This episode is essential listening for anyone focused on balancing side hustles with parenting, online business development, and effective email marketing tips.   Key Timestamps & Insights 00:00 - The 10 PM Reality Check 00:50 - Episode Overview 01:15 - The Uncomfortable Truth 02:25 - Principle #1: Context Is Everything 04:10 - Principle #2: Use AI's Memory Features Properly 06:05 - Principle #3: Master Chain-of-Thought Prompting 07:20 - Principle #4: Choose Tools Strategically, Not Emotionally 09:35 - The Bigger Picture 11:00 - Whiskered Wisdom Strategies Shared The Four Core AI Principles: Context-Rich Prompting Include who you are, what you're selling, target audience, constraints, and desired outcomes Transform questions into detailed briefings Give AI everything it needs to help you specifically Strategic Memory Usage Spend 15 minutes teaching AI about your business, style, and goals Save key processes, templates, and constraints Build compound knowledge instead of starting fresh each time Chain-of-Thought Implementation Break complex projects into logical sequential steps Refine each step before moving to the next Create compound results through systematic progression Strategic Tool Selection Identify your biggest bottleneck first Master one tool completely before adding others Match tools to specific workflow needs, not emotional appeal The Briefing Framework: Who you are (role/business type) What you're selling/offering Target audience specifics Budget/time constraints Desired outcome definition Success metrics Resources Mentioned ChatGPT-4 - For customer communications and general business tasks Anthropic's Claude - For content creation and detailed writing Perplexity AI - For market research and competitive analysis AI Escape Plan Newsletter - Weekly practical strategies at DarkHorseInsider.com Yale University Research - Referenced study on AI productivity gains Action Steps to Take Immediate Actions (Tonight): Pick one regular side hustle task (social media posts, competitor research, email drafting) Write a detailed brief including your role, audience, constraints, and desired outcome Test your old vague approach vs. the new briefing method Compare the quality and relevance of results This Week: Choose your biggest time bottleneck (research, content, or communication) Select the appropriate AI tool for that specific bottleneck Spend 15 minutes teaching that tool about your business context Set up memory features with your processes and preferences This Month: Implement chain-of-thought prompting for one complex project Build templates for your most common AI requests Track time saved and quality improvements Gradually automate additional workflow components Key Quotes "Your side hustle is competing against parents who've figured out how to make AI work 10 times harder than you have." "AI isn't a search engine – it's a machine you program with words." "The people making real money with AI aren't using more tools – they're using the right tools better." "The parents who learn to work with AI effectively won't just build better businesses – they'll reclaim time that seemed impossible to find." "The question isn't whether AI will change how work gets done. That's already happening. The question is whether you'll be among the people driving that change or getting left behind by it."   AI side hustles, entrepreneur AI tools, make money online with AI, AI productivity, ChatGPT for side hustles, AI automation, parent entrepreneur productivity, AI prompting strategies, ChatGPT, GPT-4, Large Language Model, OpenAI, Anthropic, Claude AI, AI tools, side hustle automation

Dominic Forth is the CEO of Thought Leaders America, where he helps founders, operators, and investors earn trust and raise capital through credible media visibility. With a background training at the BBC and working across major U.S. TV markets including Kansas City, Tampa, San Francisco, Tulsa, and Denver, Dominic brings more than two decades of media and research experience to the entrepreneurs he serves.      Make sure to download our free guide, 7 Questions Every Passive Investor Should Ask, here.     Key Takeaways Leverage credible media placements to build trust that compounds across AI search, Google, and investor due diligence  Clarify your narrative by defining who you are, what you do, and how you relate to your target audience  Lead with authenticity. Audiences quickly disconnect when messaging feels forced or over-rehearsed  Recognize that people just one or two steps ahead can offer more relatable value than distant "experts"  Focus on ROI-driven visibility, not vanity PR. Media should support capital raising, credibility, and measurable business growth      Topics Why Credible Media Matters More in the AI Era How AI increasingly pulls from trusted media sources instead of traditional search rankings  Why appearing on outlets like ABC, CBS, or Fox strengthens long-term digital authority  The Three Pillars of a Powerful Personal Brand Who you are (your authentic personal story)  What you do (your expertise and value proposition)  How you understand your audience's journey (investors, clients, stakeholders)  Why You Don't Need a Dramatic Backstory Shifting from "near-death experience" narratives to audience-centric storytelling  Emotional engagement through authenticity, preparation, and relatability  Overcoming Imposter Syndrome in Thought Leadership Why those one or two steps ahead often deliver the most actionable insight  How smaller media reps build confidence before major national appearances  Turning PR Into Measurable ROI Commissioning research to create newsworthy stories  Using media placements as credibility assets for investor conversations  Structuring PR efforts around business outcomes, not just visibility     

We are back live in the studio and talking to our buddy Chef Michele Ragussis about her appearence on Tounrement of champions plus we have our own Chef draft to make a dinner and Chat GPT decides the winner and finally we chat "is it a sandwich"

Key Performance Indicators (or KPIs)! By establishing KPIs in your practice, you find ways to remove the emotion that doesn't need to be there. Tiff and Kristy explain how KPIs drive a practice — and how to implement them if you haven't started yet. Episode resources: Subscribe to The Dental A-Team podcast Schedule a Practice Assessment Leave us a review Transcript: The Dental A Team (00:00) Hello, Dental A Team listeners. We are back again today and I say we again because I've got Miss Kristy here with me. You guys know how much I love her and podcasting with her is just, I told her today, like I just, you bring a sense of calm and it's great and letting it be on a, like Thursday afternoon, this is kind of cool for me ⁓ and ending my week. I've got, you know, we've got things to do tomorrow, ending calls with this is really, really cool. So Kristy, thank you so much for being here today. How are you?   The Dental A Team (00:29) Good and you?   The Dental A Team (00:31) I'm good,   thank you. ⁓ I'm... I was gonna say that, like what the heck? I'm so glad you're here though because, you know, this time last year you were here in snow and ice and I'm so glad you're here but it is cold and I heard you guys, record these, this is January right now, it'll be released in February but it's like so cold. It's like 43 degrees in the morning here and us Arizona women are just not used to that so.   The Dental A Team (00:34) It's cold for Arizona.   The Dental A Team (01:01) I agree and there's supposed to be ice and snow coming, not for us, we get rain, thank goodness, but I'm like, that's why we live here, so we don't have to deal with ice and snow. yeah, puts a little damper on travel, so we'll see. We'll see how that goes, but I am glad that you're here. This is the time of year that everybody comes and visits. February is a massive, massive time to be in Arizona. In March, we've got spring training games going, we've got...   Waste Management Open, we've got, oh my gosh, every weekend there's a taco festival or something going on. So this is the prime time to be in Arizona. If you wanna come visit, tell us that you're coming and we'll be happy to give you some suggestions. Kristy, we talk about these a lot and I'm excited because I know you actually thrive in this world a ton. You make decisions based on these. are phenomenal at projections.   four practices and the world of KPIs, which you guys, for those of you who don't know, key performance indicators, those are the indicators within your practice that tell you how you're performing. I had years and years and years ago now, like way too long to even count, I had a manager one time and she said, Tiff, I want you to start joining the KPI meetings on Thursdays with the CPA doc and I. And I said, okay. And then I ran over to my computer and I was like, Google, what is KPI? What does KPI mean? I was like, I'll be there.   That sounds great. This is like growth for me. You're putting me in. I was like, yep, I'll be there. And then I was like, what does this mean? So if you don't know what it means, you're not using them, you are not alone. I had to Google that once upon a time. And that was before Chat GPT. I feel like I would have been so much better off if I had that to break it down for me. But alas, here we are. And Kristy, I love KPIs. I love black and white decision making. I love any opportunity we have that we can remove some emotion.   from a decision, especially in the dental industry. We have a lot of emotions in the dental industry and being able to remove those and say that yes or no something is or isn't working. And my favorite piece of that is when we do that, Kristy, I think it gives us the opportunity to tackle the system and not make it personal about the person. Like it might not be that you suck.   it's that the system's not working or we're not using it correctly. And if that's the case, I'm fine. We start using it correctly or we alter it. But I think, Kristy, it makes me feel a lot better about accountability and about KPIs and just about leading teams when it's less about a feeling and a person and more about the system. So I'm excited. Kristy, tell me, why do you love KPIs?   The Dental A Team (03:41) Yeah, for the same reason, Tip, because so many times we see people focused on the wrong thing. And when you really dial into the metrics, they start to tell a story, right? And sometimes even metrics can look a little bit deceiving, but that's why I like to say the numbers start to tell a story. And then we get to dig into it and figure out the story. So, you know, just in saying that, I think if I wasn't doing what I was doing, I would be some kind of detective. And I mean,   The Dental A Team (04:09) I think   you would too.   The Dental A Team (04:10) Maybe that's why it's so exciting for me, but like, and it's truth, right? The numbers don't lie. And so a lot of times we have misperceptions on things and that's the human aspect. So to give grace on us, and I also feel like what we measure expands, it grows, right? And so if we're focused on the wrong thing, what do we get more of? And so,   The Dental A Team (04:33) Mm, true.   The Dental A Team (04:40) I just think it's the fastest way to make improvements. And it's kind of funny Tiff, because in other things we do, if we want to lift weights or we want to lose weight, what do we do? Get on the scale or we're like, we lift 50 pounds. my gosh, I added another weight. We measure it really well, but in dentistry it's like taboo. ⁓ we can't do it. Like it's so bizarre, right? But I just, again, it's the true measure. We talked about this.   The Dental A Team (05:02) I agree.   The Dental A Team (05:07) on a different podcast of winning. It truly lets us know if we're winning or losing, and maybe we'll focus on the wrong thing, right? I know you've heard it a zillion times. Doctors come on, need more new patients. I need more new patients. I need more new patients. And we look at their outstanding treatment list and it's like $3 million. And I'm like, do you really know what you mean? Right? So again, sometimes it lets us win faster because we can breathe direct and focus on   The Dental A Team (05:26) You   for sure.   The Dental A Team (05:37) what's really gonna get us there.   The Dental A Team (05:40) Yeah, I love that you said that. I love the idea of focusing on the wrong thing because I think we do that a lot. focus on the negative, right? We're like, what was our attrition rate instead of what's our new patient and our active patient count? Are those growing? Because if our new patient count and our active patient count are growing, attrition's fine. But if we're looking at attrition rate, we're like, how many are we losing? We're grasping. It's a different kind of energy and that will grow. So if you're looking at it,   you want your attrition to grow, then keep watching it. If you want your active patient count to grow, keep watching it. And if it's not growing, then you tackle the systems and assume attrition is happening. So I love that you said that because it broke it down, I hope for everyone, a little bit differently there. And our podcast today is How KPIs Drive a Practice. And I think in that simple statement and those two minutes you were just talking, you just broke it down, like verbatim on how it drives a practice because   what you focus on will grow no matter what. you're right, it's so everything in our life, we count everything. Like it's just human nature to count and track everything we do. We track our money, we track our expenses, we track our weights, we track our weight, we track everything that we do, we track our gas mileage. know, my sister's always like, ah, I got 16 gallons or whatever. I need to go get the best gas price. And I'm like, girl, I don't.   I don't know what she's like, what is your car get? I'm like, I have no idea. But there's, know, she's tracking that. But like, then we go into a dental office, it's like, don't talk numbers. Don't talk numbers. Don't track it. Because that's going to make somebody feel bad. It's like, no, we're going to track it. We're going to see that we're winning. And we're going to feel really, really good. Like my sister, sometimes she comes home and she's like, ah, I guess mileage was down. Sometimes she comes home and she's like, guess what? Simple. But that's how simple it can be.   doesn't have to be astronomical, but those small wins add up to something astronomical. And I have had so many clients that, I've had clients that have purchased practices, they're like, all right, when are we starting marketing? I'm like, well, what do you mean? You've got, like, what's your patient count? What's your active patient count? And then what's the total patient count of that practice? Because you have, every patient right now is a new patient. Starting marketing,   is a wild use of your money. Let's internal market, let's get your exams better. There's so many different avenues that we think are just the norm, so we jump on board with them. But then when we pull and extract those actual KPIs, we can find the root of what we need and the root of any problems that there might be, any systems that need to be revamped. So I love that, because that's how you're driving success, by watching the KPIs.   Kristy, and you've got, I hope everyone knows, I don't say it every time, but Kristy's done so much in her dental career and held so many titles and she's consulted for far longer than she's even been a presence here at the Dental A Team. We're so grateful for her. Kristy, in all of your experience, what do you feel are the easiest KPIs to start tracking if we're not tracking any? And then what are the most valuable KPIs maybe that people don't think of?   The Dental A Team (08:53) Ooh, that's deep. Obviously, I think we have to look at it as like two different forks in the road, right? Because so many times we hear the practice of a million dollars and then we hear the practice of six million. And I think doctors, you guys get all ramped up and think if I'm the million dollar guy, why am I the six million dollar guy? And I'm thinking, wait, wait, you don't necessarily want to be that guy. You're actually more profitable than, you know.   The Dental A Team (08:55) I I like that one.   Correct.   The Dental A Team (09:22) So it's not just what's happening in the practice, but also how profitable you are, right? And truly us here at the Dental A Team, we're looking to make sure you're hitting that profitability because that's where the true freedom is. But with that being said, the biggest KPIs out of the gate is what do I need to hit every month to be profitable? And then I measure my production, net production.   and collections. And ⁓ I am going to throw new patients in there, but in a different way, because doctors do want new patients and a lot of times they're getting them. But don't just look at how many I'm getting. Look at how many are reappointing. ⁓ you know, it's one thing that you're getting them and you might be doing limited, limited and letting them go out the back door. So again, look at those, but also   put more weight on how many are getting reappointed. And then ⁓ I also like doctors to look at diagnostics, dollars and diagnostic or sorry, acceptance dollars and percentage. ⁓ They go hand in hand. It can't just be percentage of acceptance because maybe I'm not accepting enough to even get to that goal. Yeah.   The Dental A Team (10:31) case acceptance.   Yes,   yes, I love those. Yeah.   The Dental A Team (10:46) And lastly,   probably in that tip would be your reappointment rate. How many are we reappointing? Because keep those patients of yours. Don't have to spend so many external dollars to gain more because if we just keep what we have and too often we look at how many people are sitting in our inactive pile or we don't look at it and you have a whole nother practice sitting there that you could tap into.   The Dental A Team (11:13) Yeah, I love that. I love what you said about the case acceptance dollars, the diagnostics and the case acceptance dollars. I too have doctors, I love having them ⁓ track their diagnosis and then their dollars. Number one, I hated being a treatment coordinator that had no control over how much was being diagnosed and only initially when I was treatment coordinator, were really only looking at case acceptance, which is very popular.   So case acceptance, case acceptance, and then they're like on your neck and that call these three people, why didn't these, like call the people and like I have called all the people. I can't, and we have so many clients, right, that the TC's are like I've called all the people, Tiff, can't, Kristy, I can't call anymore. Cool, it might not be in the case acceptance. Sometimes it's in the diagnosis and then to loop back to your new patient statement, all of those go so hand in hand and this is why, ⁓ heaven help me, this is why.   things like our scorecards, clients of Dental A Team that talk about the scorecard. This is why the scorecard is so important because you can look at a dental analytics screen and it's choppy, all over the place. The scorecard brings it together so that you can see what's affecting something else because to your point of the new patients, I had a practice near and dear to my heart. He hit his massive goal this year and I'm so proud of him. We worked really hard on, it was, you know,   Timelined out for five years and he hit it literally two weeks before his deadline, his date. One of the things that was holding his practice back was the new patients. He needed more new patients, needed more new patients, so his marketing company is like, all right, we're gonna ramp up new patients. And then all of a sudden we've gotten new patients, but it's like, we're not growing. There's nothing on the schedule, what's happening? And so I said, okay, what kind of new patients? And we had so many emergency, limited, transient, going through town, looking for an emergency.   He was doing a lot of same day dentistry, but not getting things booked on the schedule and not really adding to his patient count, because there wasn't reappointments happening. When we dialed that in, we found that and I was like, here's the key, switched his marketing, his new patients went up,   Then we focused in on his case acceptance. And then like you said, with the dollars, we're seeing, are they accepting fillings?   Are they accepting crowns? Are we getting the near cases? Like what is the case acceptance percentage is cool, but what are we actually, what's the procedure that's being the dollar amount and is there a ceiling maybe in our treatment planning, either back office, front office, wherever it is, is there a ceiling that our system needs to be able to help us overcome in diagnosing a certain dollar amount or treatment planning a certain dollar amount?   The Dental A Team (14:03) Yeah, I love that you say that, And as the TC, that's the one that gets me because so many doctors go back up there or come to us and say, they're just not closing it. And I always tell my practices, case acceptance is a team sport. And literally, it starts from before they even call the office. Like everything you're doing is contributing to their trust. And so ⁓ truly, docs,   I know you don't want to hear this, but it's your job to get them to yes with treatment and ⁓ financial coordinators get them to yes financially. So some of them can work heroics and they do, but it is totally a team sport. So going back to the diagnostics too, you asked a tool that I use ⁓ that maybe isn't so looked at. And I would say print your procedure count report yearly and just take a look, you know?   Are you doing four surface fillings? And I'm not saying that you shouldn't, but is it aligning with your philosophy? And are you giving patients the choice for long-term care? Because sometime that probably four surface filling is going to turn into something, you know? And let your patients decide. Let them decide.   The Dental A Team (15:18) Yeah.   Yes, I love that I have worked with many practices that they do give the options, but they assume that their patient base wants something specifically or can only afford something specifically. So they may give the options, but they kind of talk them into starting with something and started just leaving it on the table and saying what, if this were your mouth and roles were reversed, that we often say,   this were your mom, if this were your sister, if this were your brother. But I like to think, what if we were in different seats and the patient or the dentist, you were sitting in that chair, what would you want someone to tell you? Because you might even still err on the side of like, mom, when it happens, we'll fix it, but like, let's just do this patch for now, right? Because I don't, we don't want to get you numb. Like you might still err on that side for a family member, the, know, quote unquote conservative, but if you were sitting in that chair,   what would you want the dentist to say to you? And I think that makes a massive difference. And that is like your detectiveness, right? That's your detectiveness, but it works and it's what practices need sometimes. And I think, Kristy, part of those pieces, and you showed me your AR thing yesterday and how you diagnose that. And sometimes we do have to go to those spaces.   The Dental A Team (16:17) Yeah.   Yeah.   The Dental A Team (16:40) because you can't see it in the other areas. like, gosh, something is here, but that's why you look at those KPIs that are gonna drive success. And then when one of them isn't working, when one of them isn't hitting the metric that you want it to, you dive deeper. You're not just going to say, okay, every month let's pull the procedure code report. You're gonna say, if case acceptance, if we're not hitting production, case acceptance isn't working or diagnosis isn't working, now we're gonna dig a little bit deeper.   I think what tends to happen is we either go surface and we're like, everything's fine and we ignore issues or we go so deep that we're in the weeds and nobody has time to see the patients. We're just pulling reports all the time.   The Dental A Team (17:20) Yeah, it's so funny. So much psychology goes into it, right? Like our doctors get so upset in dentistry. I remember like doctors thinking, well, we're the only ones that do free consults. Medical doctors don't do free consults. Why do we do it in dentistry? You know what I mean? But yet we also complain, my schooling costs so much and they don't want to pay me what I'm worth, you know? And it's like,   Almost everything, it's funny when we get into it and I work with clients, I'm like, we kind of caused it. We taught them. How many times do we answer the phone and we go, do you have insurance before we even know their name? You know? So it's funny. It's like an oxymoron in a way, but I love that you brought that up because many times we do it to ourselves.   The Dental A Team (18:10) Yeah, yeah, we just spin our wheels on something, to find it and trying to get it right in an industry where nobody's taught how to do this stuff. guys, doctors learned how to be dentists and that's it. It's a rare occasion that you come across anybody who is taught how to run a dental practice. And dental is different than medical. So even healthcare professionals, right? People who have a degree in healthcare management, it's different.   This is why we're here. This is what we do. This is this is years and years. mean, across the whole Dental A Team team, like we should count that up. That'd be a lot of years. I don't even know anymore. We've grown to so many consultants. I don't even want to try to count that right now. We'll do that later. We'll ask Josh to do that for us. But regardless, there's so much wealth of knowledge here in.   The Dental A Team (18:57) Yeah.   The Dental A Team (19:04) ensuring that and we've done such a great job at finding the solutions and the systems to at least get templates and things started to customize for practices. I think that's just an immense value that consultants like the Dental A Team bring is that space of uniformity. these are things that we've seen work. Let's start here and then let's layer on top for you and let's adjust it for your practice and your team.   and those KPIs that drive success, pretty universal. And you said, you know, the common ones, production collections, new patients, diagnosis, case acceptance, and I loved your reappointment rate for new patients and just in general, those tell you the stories. And then from there, we dig and dive deeper. So I love it, Kristy. Thank you so much. think if I were to give an action item, it would be to revamp.   your KPIs if you're digging too deep and grab some new ones if you're not going deep enough, if that makes sense. So, Kristy, anything else you'd like to add?   The Dental A Team (20:09) No, I love it. The only thing I would say, Tip, I know you have the saying down better, but use, love the numbers, right? Don't use them as sticks, is that?   The Dental A Team (20:17) Yeah.   Yes,   yes, numbers are here to guide us. They're stars to guide us. They're not sticks to beat ourselves up with. Yeah, years and years of presenting with Kiera. Awesome, well you guys, go check your KPIs, go check your scorecards. If you're a Dental A Team client, you should have a scorecard. If you don't, get after your consultant. Everyone has scorecards this year, so we're good to go. But if you don't know how to use it or if you're confused by it,   The Dental A Team (20:26) There you go. Love it. Yeah. Love it. ⁓   The Dental A Team (20:48) or if you're not a Dental A Team client yet and you want information on it, please by all means reach out. We're here to help you. We wanna make sure that everyone is successful, whether you are a one-on-one client with us, a group client, or just here as a listener, we wanna make sure that you are all successful. So reach out, Hello@TheDentalATeam.com, and you guys, we'll catch you next time. Thanks so much, thanks, Kristy.   The Dental A Team (21:08) Thank you.  

Watch the YouTube version of this episode HEREAre you a law firm owner who is thinking about integrating AI into your firm? In this episode of the Center Stage Podcast, host Danny Decker welcomes back Tyson Mutrux, founder of a thriving St. Louis personal injury law firm and host of podcast, Maximum Lawyer. Tyson shares updates on his firm's growth, practical AI integration, and the challenges and opportunities AI brings to the legal industry.  Tyson shares his approach to AI and automation within his law firm and how others can integrate it into theirs. To get started with using AI, it is best to tackle the low hanging fruit tasks as ways to ease into it. This could be tasks like scheduling meetings for clients. If you can show your team where the improvements are in your systems, it is easier to get them on board to adopting an AI tool. From there, you can move on to larger and more complicated systems.There is a double-edged sword that AI brings that law firm owners need to realize. Although AI has increased productivity and accuracy for completing all sorts of tasks in the legal field, the problem arises where tools like ChatGPT are allowing clients to do some of the work that lawyers would normally charge for. One example for business law and estate planning is document drafting, which clients are using ChatGPT to do instead of paying a lawyer to do it. This is something lawyers need to think about when integrating AI into their practices. Think about what aspects of law could benefit from AI but will still bring you clients and make you money.Listen in to learn more!3:34 - Approach to AI & Automation8:34 - AI's Double-Edged Sword in Legal Industry14:33 - Performance Optimization & Mindset22:20 - Vendor Review Service26:16 - Maximum Lawyer Community OverviewConnect with Danny:Website  Linkedin X Youtube Tune in to today's episode and checkout the full show notes here. 

Father Robert Spitzer – president of the Magis Center – joins Trending with Timmerie Episode Guide Finding Catholic answers to AI (1:22) The Fastest Way to Become Happy (Holy) This Lent (Based on “The Four Levels of Happiness”) (20:15) Is transgenderism a sin? (35:13) Marriage — how do you love your spouse when it’s difficult? (39:28) Resources mentioned: Father Robert Spitzer https://www.magiscenter.com/ magisAI https://www.magiscenter.com/magisai ChatGPT coached the teen as he prepared for suicide. https://nypost.com/2025/08/26/us-news/chatgpt-coached-teen-as-he-prepared-suicide-praised-noose-knot-suit/ Keep porn off your phone with Canopy https://canopy.us/adults/?utm_term=canopy%20blocker&utm_campaign=Search+-+Brand_US&utm_source=adwords&utm_medium=ppc&hsa_acc=4968127486&hsa_cam=21257594584&hsa_grp=190930449771&hsa_ad=773492575435&hsa_src=g&hsa_tgt=aud-1003592839136:kwd-1741902924659&hsa_kw=canopy%20blocker&hsa_mt=p&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=23011703035&gbraid=0AAAAACe2aLPIbRKnsIs16A_kxF343gXjU&gclid=CjwKCAiAkvDMBhBMEiwAnUA9Bbki-yF9-k-lW6M6PzU6lZ2NhtwWdbmJp8QCe3-x4bp-BsY5tyHHqxoC418QAvD_BwE 4 Levels of Happiness Book https://www.amazon.com/Four-Levels-Happiness-Personal-Flourishing/dp/B0CRD3JCV4/ref=tmm_hrd_swatch_0?_encoding=UTF8&dib_tag=se&dib=eyJ2IjoiMSJ9.QTxLZPH9i5EhEtC33uwsZpApT5ASoCX6JMVr84I2_zBiR532fW5ohLtq7ythdtZChS8cwddORUM8rlAbxPSUFGK_YIcDayJmiULBp_9WHEUe1iK87kriBTvzntHP2sxfQ-LbvToKlrpdmAddHOQ6RPLoYBmu23OsR9RD-pJ2CCEAxCoJUEWXl1mLF6fFxtM-pgKdG72IwxYzpdWB8iCLHDeDf2zt_-O20ybhHc_F5EQ._eJ8jTKIfeqfKheV6z5PDXbKbfxy6lBbJSw1cyC6ov4&qid=1771893156&sr=8-1

Amazon sellers are entering a new era of product discovery, and AI visibility is becoming part of the playbook. In this episode, Scott sits down with Yona, founder of Amazon Growth Lab, to break down how brands can improve visibility across both Amazon's ecosystem (Rufus, Cosmo, organic search) and external LLMs like ChatGPT and Perplexity. Yona explains why traditional keyword stuffing is fading, how Amazon is evolving toward context and use-case relevance, and why listing content now needs stronger sentiment alignment across titles, bullets, A+ content, and images. They also dig into the difference between Amazon visibility and LLM visibility. Since LLMs often do not scrape Amazon product pages directly, Yona shares why off-Amazon signals like press, community mentions, and helpful content can influence whether products get recommended in AI answers. The conversation also covers a practical conversion playbook for 2026, including CTR optimization, image testing, PickFu workflows, conversion benchmarking, reviews, and iterative A/B testing for infographics and A+ content. If you want a clear breakdown of what's changing in Amazon search, AI discovery, and conversion strategy, this episode is packed with actionable ideas. Episode Notes: 00:09 - Intro to the 2026 AI visibility conversation and guest intro (Yona, Amazon Growth Lab) 02:32 - The core question: how brands show up in LLMs for high-intent prompts 03:19 - Why LLM visibility is easier for DTC/Shopify than Amazon 04:30 - Robots.txt explained in simple terms and why it matters for AI indexing 04:50 - Why Amazon blocks LLM scraping and the threat of agentic commerce 06:48 - How Amazon products still get recommended via off-Amazon sources 08:32 - Why old Amazon SEO tactics are fading (keyword stuffing vs relevance) 11:56 - Images, A+ content, and infographics as SEO/AI signals 12:31 - Underused Seller Central tools: Search Query Performance and Product Opportunity Explorer 14:14 - Using customer sentiment language in content to improve Rufus indexing 15:32 - Why CTR and conversion rate are still the strongest Amazon visibility levers 18:03 - Amazon platform visibility vs LLM visibility: different strategies 18:49 - Off-Amazon visibility drivers: press releases, Reddit, Quora, and brand mentions 24:27 - Amazon's long-term concern: customer control and ad dollars shifting to AI 26:30 - Why blogs still matter, and how visuals/structured content help brands stand out 29:24 - AI visibility tracking tools (Profound, Surfer, Scrunch AI) and why using multiple tools helps 31:45 - 2026 conversion strategy: building a funnel for CTR and conversion improvement 32:09 - PickFu testing workflow for improving main images and click-through rate 36:28 - Conversion levers: pricing, reviews, creator content, infographics, A+ content, and split tests 41:03 - Enterprise scaling: automating creative production and localization across thousands of listings 43:43 - Yona's closing advice and where to connect with Amazon Growth Lab Related Post AI Visibility for Amazon Products: Are ChatGPT and Rufus Recommending You? Guest Link Amazon Growth Lab: AmazonGrow.com Scott's Links LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog  

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Artificial intelligence has been raising foundational questions for patent law long before generative tools entered the mainstream. In this episode of Clause 8, host Eli Mazour speaks with Wen Xie, U.S. Patent Attorney and Founder of Lux Lumen Intellectual Property, about how legal thinking around AI, inventorship, and patent eligibility has evolved—and where it appears to be heading.The conversation traces early debates sparked by the DABUS cases, which framed AI inventorship as a question of whether a machine could be named as an inventor. While those cases clarified that U.S. patent law requires a human inventor, they also highlighted a more practical issue that remains unresolved: how to evaluate human contribution when AI tools play a role in the inventive process, including in areas such as industrial design.The episode also examines the USPTO's shifting approach to AI-related inventions, from post-Alice uncertainty to more recent Section 101 guidance and new USPTO Director's John Squires Ex parte Desjardins PTAB decision. Wen discusses how applicants can position AI inventions as genuine technological improvements, avoid overreliance on “black box” disclosures, and manage Section 112 risks.The discussion concludes with a forward-looking look at using AI tools for patent practice, the USPTO's new pilot for AI-powered pre-examination search, and what these developments mean for practitioners and innovators navigating a rapidly changing IP landscape.Watch the full episode or listen on your favorite podcast app—and subscribe to the new Clause 8 YouTube channel for bonus content.Presented by Tradespace – where ideas take flight.Chapters00:01 – Wen Xie's early interest in AI and patent law02:10 – AI disruption before ChatGPT: imaging, medicine, and automation04:56 – How AI reshaped Wen's legal career05:55 – DABUS, Thaler, and the AI inventorship debate08:56 – Human contribution vs. AI output10:40 – Should companies restrict inventors from using AI?11:59 – What in-house counsel should ask about AI use14:20 – Duty of candor, recordkeeping, and litigation risk18:06 – Section 101 and AI as technological improvement22:50 – USPTO guidance, PTAB trends, and examiner behavior32:01 – Section 112 issues and describing machine learning33:40 – Using generative AI in patent drafting39:40 – Advice for junior attorneys in an AI-driven practiceDisclaimer This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.voiceofip.com

In this episode of the Dietitian Success Podcast, I sit down with Sara Griffin, MS, RD, CNSC — founder of Edge Clinical Nutrition — to talk about how she's grown her business from a small side hustle into a thriving, six-figure company.Sara's story is packed with transparency, strategy, and tangible takeaways for every entrepreneur. Over the last year, she's tripled her business revenue selling online courses and study guides — and she shares exactly how she did it.Inside, we cover:The key business and marketing shifts that took Sara from ~$30K to ~$100K in annual revenueHow switching tech platforms (and finally building an email funnel) completely changed the gameHow SEO, ChatGPT, and even Reddit and Facebook groups are driving new customers to her businessHer strategy for showing up authentically on Instagram and LinkedIn without feeling “salesy”The real-world schedule of a 24-hour-per-week, six-figure entrepreneurWhy showing up at in-person conferences is unlocking a whole new level of growthThis conversation is a masterclass in what's possible when you combine a strong niche, smart systems, and consistent marketing. Whether you're a course creator, private practice RD, or consultant, you'll walk away with ideas to scale your impact — and your income — in 2026 and beyond.Links: Check out the *NEW* Entrepreneurship Tier of Dietitian Success Center https://www.dietitiansuccesscenter.com/entrepreneurshipfordietitians Follow Sara on Instagram: https://www.instagram.com/edgeclinicalnutrition/Check out Sara's Youtube: https://www.youtube.com/@edgeclinicalnutritionCheck out Sara's CNSC Study Guide: https://edgenutrition.mykajabi.com/cnsc-study-guide Check out Sara's Nutrition Support Course: https://edgenutrition.mykajabi.com/nutrition-support-course-dietitian Follow @dietitiansuccesscenter on Instagram: https://www.instagram.com/dietitiansuccesscenter/Connect with @kristako.rd on Instagram: https://www.instagram.com/kristako.rd/

AI is changing Google search faster than most salon owners realise, and whether you like it or not, it's going to impact your business. In this episode, I'm joined by returning guest Phil Evans from Salon Guru, and we're diving into what AI is doing to Google search and what that means for your salon business.We break down how Google's AI is already showing up in your potential clients' search results, what's actually driving which salons appear at the top, and why content and reviews still remain the foundation of everything.We also get into the practical stuff, how to use AI tools like ChatGPT without sounding like a robot, why you need to know your traffic and rank numbers before anything else, and the simple phone test you can do today that will tell you exactly where your salon stands. Phil's homework at the end of this episode is worth the listen alone. IN THIS EPISODE:[00:00] Introduction and marketing course waitlist announcement [01:13] Welcoming Phil Evans from Salon Guru back to the show [02:00] What AI has actually changed about Google search [03:15] How AI search works in practice, with real examples[07:57] The numbers behind salon website traffic (and what "good" looks like) [09:13] What determines which salon ranks first for "best balayage near me" [10:00] Why content and reviews are 90% of the job [11:31] The three most important things a small salon owner should focus on [16:00] How to use AI writing tools without sounding like a robot [19:25] What happens if a salon ignores AI and search over the next few years [21:00] How to make your existing content AI-ready [22:39] Three practical takeaways you can action today [23:08] The free rank report from Salon Guru (and how to find your numbers) [25:10] How local search radius works, and the wake-up call most salons need Want MORE to help you GROW?

In this episode of Dental Unfiltered, hosts Matt Brown and Dr. Andrew Vallo dive into high-performance biohacking and what it takes to optimize health and fitness. They share personal health challenges, dietary changes, and how tools like ChatGPT can support smarter lifestyle decisions. Dr. Vallo also walks through his health reset journey, focused on sustainable habits that improve performance—both inside and outside the practice.

BOSSes, Anne Ganguzza and Tom Dheere (The VO Strategist) ring in the new year with a reality check on modern voiceover career strategy. In an industry increasingly influenced by AI and market saturation, the "throw everything at the wall and see what sticks" approach is no longer viable. This episode is a deep dive into the power of focus—mastering one genre at a time, picking the right marketing portals, and closing the "relevance gap" by becoming a high-level human storyteller.     Chapter Summaries: The Relevance Gap and AI (10:45) Tom introduces the "relevance gap"—the widening space between aspiring talent and working professionals. He argues that AI is rapidly consuming low-budget, entry-level work. To remain relevant, talent must move beyond simply "reading well" and invest in high-level storytelling skills (acting, improv, etc.) that AI cannot yet replicate. The Danger of the Multi-Demo Rush (03:55) The hosts notice a troubling trend: new talent getting five demos produced before they've mastered a single genre. This lack of focus leads to "sucking at everything." Anne emphasizes that even 20 coaching sessions might not be enough to reach the competitive level required for a professional demo in today's saturated market. Passion vs. Pragmatism: Reconciling Your Goals (15:19) While many enter VO wanting to do anime or video games, the market for corporate, e-learning, and medical narration is significantly larger. Tom suggests a pragmatic voiceover career strategy: use "bread and butter" genres like corporate work (where there are over 33 million potential clients) to fund your passion projects in character and animation work. The Myth of Social Media ROI (24:34) Tom reveals startling statistics on social media ROI for voice actors: Facebook (0.77%) and Twitter (0.69%) pale in comparison to LinkedIn (2.74%). While still low, LinkedIn represents a business-minded audience. The hosts warn that "enpoopification"—the decline of social media quality due to algorithms and AI—makes it harder than ever to find work through standard posting. The "New SEO": Getting Found by Chatbots (27:39) Anne shifts the focus to a forward-thinking strategy: SEO for AI. Companies are increasingly asking chatbots like ChatGPT or Claude for voice actor recommendations. To stay competitive, talent must populate their websites and blogs with high-quality, human-written content that these bots can index and recommend. The 2026 Focus Challenge (30:21) Tom issues a challenge to all VO Bosses: Pick one genre, one casting site, and one social media platform to focus on this year. By concentrating energy rather than scattering it, talent can build true momentum and authority in a specific corner of the market.     Top 10 Takeaways for Voice Actors: Close the Relevance Gap: Invest in professional acting and storytelling training to stay ahead of AI-generated voices. Focus on One Genre First: Master the nuances and audience of one genre before producing a demo or marketing yourself in another. Market Pragmatism: Target the corporate and e-learning markets for consistent cash flow while you build your "passion" skills in animation. Avoid "Demo Bundle" Traps: Be wary of packages offering multiple demos for a deal; quality training takes time and individual focus for each genre. Audit Your Marketing Portals: Don't join every pay-to-play site at once. Pick one that aligns with your primary genre and master its algorithm. Prioritize LinkedIn: For B2B genres like corporate narration, LinkedIn offers a significantly higher ROI than other social platforms. Optimize for AI Search: Ensure your website's FAQ and Home pages are rich with pertinent information so chatbots can find and recommend you. Use Low-Budget Sites as Proving Grounds: Use sites like Fiverr or Casting Call Club for practice and project management experience, not as a final career destination. Human Content Wins: Write blogs and website copy with a "human-first" approach to reclaim search authority from AI-generated spam. The Foundation is Acting: Foundational acting skills are transferable across all genres. Master the craft first, and the genre proficiency will follow.

The integration of Artificial Intelligence (AI) into post-injury rehabilitation is transforming recovery paradigms by enabling personalized, adaptive, and efficient rehabilitation pathways tailored to individual patient needs. This podcast reviews the current advances in AI applications that facilitate assessment, monitoring, and optimization of rehabilitation programs following injuries. Through machine learning algorithms, wearable sensors, and predictive analytics, AI enhances the precision of therapy plans, tracks patient progress in real-time, and predicts recovery trajectories. The discussion includes the benefits of AI-driven rehabilitation, including improved functional outcomes, reduced recovery times, and increased patient engagement. It also addresses challenges such as data privacy, algorithmic bias, and integration with clinical workflows.  1. Transforming recovery paradigms Traditional post‑injury rehab relies on periodic in‑person assessments, therapist intuition, and standardized protocols that only partially account for individual variability. AI is shifting this model toward: Continuous, data‑driven care: Instead of snapshots in clinic, rehab can be informed by near real‑time streams of kinematic, physiological, and behavioral data from wearables, smart devices, and robot interfaces. Dynamic adaptation: Therapy intensity, task difficulty, and exercise selection can be automatically adjusted based on ongoing performance, fatigue, and recovery trends, rather than fixed schedules. Precision rehabilitation: Algorithms can identify which patients are likely to respond to specific interventions (e.g., constraint‑induced movement therapy vs robotics) and tailor plans accordingly. This moves rehabilitation from a "one‑size‑fits‑many" paradigm toward precision, context‑aware therapy, analogous to precision oncology but focused on function and participation. 2. Assessment, monitoring, and optimization AI for assessment Sensor‑based movement analysis: Machine learning models process accelerometer, IMU, EMG, and pressure data to quantify gait symmetry, joint kinematics, balance, and fine motor control with higher resolution than visual observation alone. Automated scoring: AI can approximate or support standardized scales (e.g., Fugl‑Meyer, Berg Balance Scale) by mapping sensor features or video-derived pose estimates to clinical scores, reducing inter‑rater variability and saving clinician time. Continuous monitoring Home and community tracking: Wearable and ambient sensors enable monitoring of daily steps, walking speed, arm use, posture, and adherence to exercises outside the clinic, feeding rich longitudinal datasets into AI models. Real‑time alerts: Algorithms can detect abnormal patterns—such as increased fall risk, reduced limb use, or signs of over‑exertion—and flag the clinician or adjust digital therapy content automatically. Optimization and decision support Predictive models: Using historical data, AI can forecast functional gains, plateau points, or risk of complications (e.g., falls, readmission), supporting individualized goal‑setting and resource allocation. Reinforcement learning and "digital twins": Emerging work in neurorehabilitation treats rehab as a sequential decision problem, using model‑based reinforcement learning and patient "digital twins" to recommend optimal timing, dosing, and progression of interventions over weeks to months.​ 3. Technologies: ML, wearables, analytics Machine learning algorithms: Supervised ML classifies movement quality (normal vs compensatory), detects exercise type from sensor streams, and estimates clinical scores. Unsupervised learning clusters patients into phenotypes (e.g., gait patterns after stroke), revealing subgroups that respond differently to certain therapies. Reinforcement learning and contextual bandits explore which therapy adjustments yield the best long‑term functional outcomes for a given individual.​ Wearable sensors and robotics: Inertial sensors, EMG, pressure insoles, and exoskeleton sensors capture high‑frequency movement and muscle activity data during training. Robotic devices (upper‑limb exoskeletons, gait trainers) coupled with AI can modulate assistance, resistance, or task difficulty in real time based on performance and predicted fatigue. Predictive and prescriptive analytics: Predictive analytics estimate trajectories (e.g., time to independent walking, expected upper‑limb function) to inform shared decisions with patients and families. Prescriptive analytics recommend therapy intensity, modality mix, and scheduling to maximize functional gains under resource constraints. 4. Benefits: outcomes, efficiency, engagement Improved functional outcomes: Studies report better motor recovery, gait quality, and ADL performance when AI‑assisted training is used—especially when robotics and intelligent feedback are involved. Reduced recovery time and resource use: More precise dosing and earlier identification of non‑responders can reduce ineffective sessions, shorten time to key milestones, and support safe earlier discharge with robust remote follow‑up. Increased adherence and engagement: AI‑driven digital rehab platforms use gamification, adaptive difficulty, and personalized feedback to keep patients engaged in home programs, improving adherence compared to static paper instructions. Support for clinicians: Instead of replacing therapists, AI can offload repetitive measurement tasks, highlight concerning trends, and offer data‑driven suggestions, allowing clinicians to focus on relational, motivational, and complex decision‑making aspects of care. 5. Challenges and ethical considerations Data privacy and security: Rehab AI often relies on continuous collection of sensitive motion, physiological, and sometimes audio/video data, raising questions about consent, storage, secondary use, and breach risk. Approaches like federated learning and on‑device processing are being explored to reduce centralization of identifiable data while still enabling model training. Algorithmic bias and fairness: If training data under‑represent older adults, women, certain racial/ethnic groups, or people with severe disability, AI models may misestimate performance or risk for those groups, potentially widening disparities in rehab access and outcomes. Ongoing auditing, diverse datasets, and participatory design with patients and clinicians are needed to ensure equitable performance. Integration with clinical workflows: Many AI tools are developed in research settings and are not yet seamlessly integrated into EHRs, scheduling systems, or therapist documentation workflows. Poorly integrated tools risk adding documentation burden or "alert fatigue," reducing adoption. Successful implementations co‑design interfaces with frontline therapists and physicians. Regulation, liability, and trust: It remains unclear in many jurisdictions how to regulate adaptive rehab algorithms (as medical devices, clinical decision support, or wellness tools) and who is liable when AI‑informed plans cause harm.​ Transparent, explainable models and clear communication to patients about the role of AI are critical for maintaining trust. 6. Case studies and emerging trends Remote and hybrid digital rehabilitation: AI‑driven platforms providing home‑based stroke, orthopedic, or Parkinson's rehab with clinician dashboards are improving adherence and extending care beyond brick‑and‑mortar clinics. Collaborative AI for precision neurorehabilitation: Frameworks combining patient‑clinician goal setting, digital twins, and reinforcement learning exemplify "collaborative AI" that augments rather than replaces therapists.​ Multimodal personalization: Integration of movement data, EMG, heart rate, sleep, and self‑reported pain/fatigue is enabling more nuanced adaptation to daily fluctuations in capacity. Conversational AI for education and coaching: Early work is assessing tools like ChatGPT as low‑risk supports for exercise education and motivation, though they are not yet precise enough to replace professional plan design AI is moving rehab toward patient‑centered, continuously adapting, and data‑rich care, but realizing this promise depends on addressing privacy, bias, workflow, and regulatory challenges in partnership with clinicians and patients.

From Command to Control: Stories of Digital Dilemmas The hosts discuss Apple Mail email signatures and discover that when a website URL lacks a prefix, Apple Mail defaults it to an insecure http link, which can trigger junk filtering; they also note cases where a displayed https link still points to http behind the scenes. They compare Apple Mail to Outlook in business environments, mention limitations around advanced signature management, and comment on Apple's minimal transparency in service-status outage explanations. They cover Apple's iOS 12 update extending certificates for services like iMessage, FaceTime, and device activation through January 2027, and then shift to opinions and speculation about Tim Cook's political pandering possibly being tied to tariffs and CEO succession timing. Returning to tech, they explain Apple Pay's security benefits—device-specific numbers and unique transaction codes—especially after a client's credit card was repeatedly compromised, and discuss adding additional browser protection via Malwarebytes Browser Guard and Chrome/Safari extension deployment through MDM (Addigy), including using ChatGPT to generate a configuration profile. They also describe using ChatGPT to edit MailChimp newsletter HTML quickly, and explore AI-assisted app development ideas such as an iOS app that converts call logs into calendar entries, referencing a Steven Robles video about building an app with AI while noting potential security pitfalls like exposed credentials. Lgistics issue involving gear ordered for testing via an Amazon locker at Staples. When attempting pickup, the host discovers the locker has no keypad and relies on the Amazon app and NFC. Despite signing into the client's Amazon account and enabling required app permissions (Bluetooth and device access), the locker cannot be accessed. Amazon customer service suggests the order data may be incomplete due to a third-party seller and issues immediate refunds or credits.   00:00 Welcome In: Time, the Clock Tower, and "Running Out of Time" 00:46 Client Referral Follow-Up: When People Go Radio Silent 01:39 Apple Mail Link Gotcha: Why Your Clean URL Becomes HTTP 04:13 Hidden Signature Code: Displayed HTTPS, Actual HTTP (and Spam Filters) 05:45 Why Apple Should Default to HTTPS (Google Already Does) 08:34 Signature Tools & Workflows: WiseStamp, Outlook, and What Clients Actually Use 10:37 Apple Still Updating Old iOS: Certificate Expiration and 2027 Cutoff 11:40 Tim Cook, Politics, and the CEO Succession Theory 15:06 Bully-Pulpit News Cycle: Waiting for the Next Outrage 16:08 Epstein Files & Accountability: Why Consequences Aren't Landing in the U.S. 18:16 From Past Scandals to Today: How the Bar Moved (Back to Tech) 19:00 Merch & Sponsorship Shoutouts (The Command Control Power Mug) 19:47 Apple Services Outages & the Vague Status Page Problem 21:14 Why Apple Pay Is Safer After a Card Gets Compromised 23:40 Dashlane vs Malwarebytes Browser Guard: Phishing/Scam Blocking Extensions 28:19 Layered Web Protection: Safari Safe Browsing, DNS Filtering, and Extension Risks 31:36 ChatGPT for Real Work: Fixing a Mailchimp Newsletter with HTML 33:06 AI-Assisted App Idea: Turn Call Logs into Calendar Entries (and Vibe Coding) 37:59 Security Caveats + Wrap-Up Quip About AI Summaries

As Bob continues his LawNext on Location series – all recorded live in the San Francisco area at locations of each guest's choosing – he sits down with Pablo Arredondo at his home in Tiburon, a quaint Marin County town with a history stretching from Mexican land grants to naval outposts to a southern railway terminus. From Pablo's home office, the view looks out over Richardson Bay towards Sausalito and, if you look carefully, the Golden Gate Bridge can be seen in the distance. It is a setting that is entirely fitting for a conversation with someone who helped shape one of the more remarkable journeys in the annals of legal technology. Pablo was cofounder of Casetext, the once-scrappy startup that spent a decade iterating, pivoting and persisting before striking gold with CoCounsel, the first GPT-4-powered AI legal assistant, unveiled on the nationally televised Morning Joe show on March 1, 2023. Just four months later, Thomson Reuters acquired Casetext for $650 million in cash. Now, 2.5 years later, Pablo recently left TR, where he is, as he puts it, building a Lego Death Star with his daughter and finally paying attention to his well-being after 16 years of nonstop pursuit. In this wide-ranging conversation, Pablo reflects on the long road to CoCounsel – from a failed crowdsourcing experiment to CARA's brief analysis tool to the pivotal moment when Casetext signed a $20,000 innovation license with OpenAI and got early access to GPT-4, 10 weeks before ChatGPT's public launch. He describes the surreal experience of those first 48 hours after CoCounsel's debut, when he and cofounder Jake Heller identified 74 distinct legal use cases the tool could handle – any one of which, he says, "would have been a company in the old world." Pablo and Bob also dig into the bigger questions surrounding legal AI, including whether the field is advancing as fast as he expected; what the foundation models from Anthropic, OpenAI and Google mean for legal-specific AI companies such as Harvey; and why he believes reasoning models and agentic AI represent the next genuinely profound leap beyond GPT-4. Pablo also candidly reflects on the TR acquisition and his work while at TR, and he offers hints on what may lie ahead for him – at least once that Death Star model is done.  It is a conversation that is part memoir, part technology seminar and part meditation on what it means to have built something that changed a profession – and his life – all recorded with a sweeping, albeit cloudy, view of the majesty of San Francisco Bay.    Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out.   Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Briefpoint, eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). Legalweek, March 9-12, North Javits Center, New York City.   If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.  

Jay Iyengar, EVP, Chief Technology and Strategic Sourcing Officer, Oshkosh joined Grayson Brulte on The Road to Autonomy podcast to discuss Oshkosh's approach to autonomy and the development of physical AI across their diverse industrial technology portfolio.The operational backbone of Oshkosh's strategy is a hybrid approach targeted towards moments of autonomy where autonomy adds the most immediate value. By addressing repetitive, hazardous tasks and mitigating driver fatigue, Oshkosh is building purpose-built solutions to increase safety and productivity for the everyday heroes who build, serve, and protect communities.In the field, Oshkosh is rigorously applying Physical AI across a diverse array of use cases, from automating airport jet bridges that align precisely with aircraft doors to developing automated cargo loaders for complex tarmac operations.Oshkosh's Physical AI ecosystem also includes the HARR-E robot for on-demand refuse collection in planned communities, as well as advancing autonomous capabilities for military leader-follower programs and next-generation delivery vehicles.Looking ahead, Jay envisions a future where Physical AI has its own transformative ChatGPT moment, becoming a ubiquitous and intuitive part of the industrial landscape. This evolution aims to fundamentally transform markets, ensuring that autonomous technology operates so seamlessly that operators can focus entirely on their work, ultimately saving lives, increasing productivity, and unlocking new economic activity.Episode Chapters00:00 Moments of Autonomy Philosophy 04:45 The Jet Bridge Bottleneck 07:20 Deploying Physical AI at the Gate 10:45 Navigating Tarmac Chaos and Regulations 14:15 Blueprint for the Airport of the Future 16:05 The Data Moat & Oshkosh's AI Stack 19:30 Weighing Trash with AI Side-Loaders 21:30 Meet HARR-E: The On-Demand Trash Robot 26:30 Revolutionizing the Postal Delivery Fleet 28:15 Why You Shouldn't Over-Engineer Sensors 30:30 The Hidden Power of Strategic Sourcing 32:20 Level 5 Military Learnings 35:10 Waiting for Physical AI's ChatGPT Moment36:30 The Next 100 Years of Oshkosh --------About The Road to AutonomyThe Road to Autonomy is the definitive media brand covering the Autonomy Economy™. Through our podcasts, newsletter, and proprietary market intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Join institutional investors and industry leaders who read This Week in The Autonomy Economy every Sunday. Each edition delivers exclusive insight and commentary on the autonomy economy, helping you stay ahead of what's next. Subscribe today for free: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send a textIn this final episode of the Faithful & Wise AI series, Alyssa Avant shares the three AI tools she uses in her own Christian business—ChatGPT, Quso.ai, and VidIQ—and how they help her save time, repurpose content, and stay focused on her calling. This practical, behind-the-scenes look will show you how AI can be used with wisdom, stewardship, and integrity without losing your voice or your values.

Artificial Intelligence in Medical Education: Opportunities, Risks, and GuardrailsIn this episode of The Pediatric Lounge, the hosts welcome back Dr. Rani Gareige, director of medical education and designated institutional official at Nicklaus Children's Hospital and a clinical professor at Florida International University, to discuss artificial intelligence in medical education now and in the future. They preview Nicklaus Children's Hospital's 61st annual postgraduate pediatrics CME conference in Fort Lauderdale (Hilton Marina Resort, March 20–22), highlighting sessions on IBD, short stature, dermatology, psychological screening, AI in practice management, social media communication, genetic testing/personalized medicine, and Florida's new requirement for EKG screening to clear athletes starting ninth grade. The conversation covers common AI tools learners use (ChatGPT, Claude, OpenEvidence) and institutional concerns about HIPAA/PHI, including blocking public tools and using a secure in-house system (“Ask Nick”) and closed or constrained approaches (e.g., tools that search only approved sources or documents provided, such as Google Notebook). They explore concerns about de-skilling and when to introduce AI in training, faculty development needs, and a precepting framework (DEFT-AI: Diagnosis, Evidence, Feedback, Teaching, and Recommendations for AI use) to assess clinical reasoning. The episode also discusses AI for simulated patient interactions (bad news delivery, motivational interviewing), ambient AI scribing pilots, clinician responsibility to review notes, and AI-driven coding that may reduce undercoding and administrative burden. The discussion concludes that AI will not replace physicians, but clinicians who use AI wisely may replace those who do not, stressing the importance of policies, ethics, transparency, and maintaining empathy and the art of medicine.00:00 Podcast Intro and Guest02:25 CME Conference Details03:13 Hot Topics and New Laws04:44 EKG Screening Program07:42 AI Tools in Training11:42 IRB and Data Privacy14:39 Meeting Minutes Automation16:48 Closed Models for Clinicians19:13 AI Hallucinations and References24:16 Deskilling and Timing AI30:11 Teaching Frameworks for AI32:46 Back to Evidence Basics33:40 Questioning the Evidence34:48 AI and Human Empathy37:45 AI as Clinical Assistant41:01 Recertification in the AI Era46:32 Ethics and Prompting50:40 AI Scribing and Guardrails54:35 Coding and Care Gaps57:15 Future of Medical Education01:01:13 Virtual Trials and Wrap-Up01:0Support the show

Au programme :Les robots de Chine sont impressionnantsApple voudrait des caméras partout… pour Siri?Le reste de l'actualité : les jeunes entrepreneurs, la mémoire dans le verre, le VPN d'Etat américain..Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Guillaume Vendé (Bluesky).Co-animé par Nelly Lesage (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 654 – La démo technologique la plus impressionnante depuis ChatGPTLiens :---Liens :

2/23/26. Five Minutes in the Word scriptures for today: 2 Corinthians 12:12. Foundational Leaders. Resources: biblehub.com; logos.com; ChatGPT; Faithlife Study Bible. Listen daily at 10:00 am CST on https://kingdompraiseradio.com. November 2021 Podchaser list of "60 Best Podcasts to Discover!" LISTEN, LIKE, FOLLOW, SHARE! #MinutesWord; @MinutesWord; #dailybiblestudy #dailydevotional #Christian_podcaster Podcast website: https://www.hwscott.net/podcast.php https://www.youtube.com/channel/UCK9zaXqv64YaCjh88XIJckA/videos https://m.youtube.com/@hhwscott

Events and vigils are held across Ukraine to mark four years since Russia's invasion. Ukrainian President Volodymyr Zelenskyy says Vladimir Putin “has not achieved his goals,” while vowing to continue the fight. European leaders are promising billions of dollars to help Ukraine in its efforts. Canada is too, along with more sanctions on Russian energy. Ceasefire talks remain at a standstill, with big questions over territory and how the war will end.Also: Let's talk about text. Executives from U.S. tech giant OpenAI are in Ottawa to answer questions about its chatbot, ChatGPT, and what the company is doing to protect Canadians from harm. The visit follows last week's revelation that OpenAI staff banned the Tumbler Ridge, B.C. shooter from ChatGPT last June for troubling interactions with their software program, but never flagged concerns to police.And: Why Mexico's takedown of cartel kingpin, ‘El Mencho,' could have a ripple effect on Canada's drug trade.Plus: State of the Union, Trump's wind power tilt, stability returns to Puerto Vallarta, and more.

Four years after ChatGPT changed everything, schools are still treading water.In this episode, I sit down with Dr. Kip Glazer, principal of Mountain View High School, home of Google, and author of Ready to Lead With AI: A Practical Guide for School Leaders. Dr. Kip has been in this conversation since 2015 and she is bringing ALL of that experience to the table.We talk about why the AI cheating conversation is failing our students, what questions every school leader should be asking vendors before letting ANY tool into their school, and why the real work has always been about human connection, not detection.If you are a school leader, educator, or aspiring administrator trying to navigate AI without losing sight of what matters most, this one is for you.Chapters00:00 Introduction and Context Setting02:55 The Impact of AI on Education05:48 Navigating AI as a School Leader08:49 Practical Applications of AI in Schools11:37 Mindset and Attitude in Leadership14:48 Actionable Tips for School Leaders17:43 The Role of Pedagogy in Technology Integration20:36 Community and Collaboration in Learning26:31 AI and Equity in Education30:06 Innovative Pedagogy and Student Engagement34:41 Empowering Student Voices in Decision-Making39:09 Navigating Tech Chauvinism in Education43:51 Enhancing Human Connection through AISponsor ShoutoutThank you to our sponsors: Book Creator, Eduaide.AI, and Peel Back Education for supporting My EdTech Life.Get 3 Months of Book Creator Premium Access Free!Use Code: MyEdTechLifeStay Techie ✌️Peel Back Education exists to uncover, share, and amplify powerful, authentic stories from inside classrooms and beyond, helping educators, learners, and the wider community connect meaningfully with the people and ideas shaping education today. Authentic engagement, inclusion, and learning across the curriculum for ALL your students. Teachers love Book Creator.Support the show

His Tax Attorney Client Gets 30-50% of Leads from ChatGPT (Here's How) with Cameron LiButti>> Get the newest LFG episodes delivered to your inbox when you Sign Up for our Newsletter.>> Get the new book beyondintakebook.comResource Links:Fast track your marketing efforts while avoiding common marketing mistakes in our new trainingEstate planning attorney? Stop guessing how to get results from online ads and grow your firm with our client-generating Seminar 3.0 Hosted on Acast. See acast.com/privacy for more information.

The latest In Touch With iOS with Dave he is joined by Jill McKinley, Chuck Joiner, Jeff Gamet, Eric Bolden, Marty Jencius, Guy Serle. Apple teases a mysterious March 4 event as rumors swirl about colorful MacBooks and M5 updates. We break down VisionOS 26.4 beta, iOS 26.4 AI features, CarPlay updates, Rosetta 2 warnings, and Apple's expanding sports lineup — including MLS now free on Apple TV+. Plus, Emergency SOS via satellite saves skiers in Lake Tahoe. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary In episode 409 of In Touch With iOS, Dave and the panel dive into Apple's newly announced "special experience" event scheduled for March 4 in New York, London, and Shanghai. With no official details revealed, speculation runs high. Could we see colorful, lower-cost MacBooks powered by A-series chips? M5 Pro and Max MacBook Pros? Updated iPads? The panel debates whether Apple may stage a staggered release week or unveil everything in a single coordinated announcement. The discussion shifts to Vision Pro, where rumors suggest Apple could demonstrate immersive Formula 1 experiences just days before the 2026 F1 season begins. With Apple's expanding sports footprint, including IMAX screenings of F1 races, the possibility of spatial sports broadcasting feels closer than ever. The panel also reviews VisionOS 26.4 beta updates, including refined UI elements, reorganized settings, early foveated streaming support for developers, and expanded 8K playback capabilities on newer hardware. iOS 26.4 beta brings one of the busiest update cycles in recent memory. Highlights include AI-powered playlist creation in Apple Music, enhanced podcast video playback directly inside the Apple Podcasts app, CarPlay integration with third-party AI tools like ChatGPT, Claude, and Gemini, improved hotspot usage visibility, battery charge limit automation through Shortcuts, and Stolen Device Protection becoming enabled by default. The panel weighs in on whether security features should be opt-in or automatically enforced. On the Mac side, Rosetta 2 warnings now alert users when launching Intel-based apps, signaling Apple's continued push toward full Apple Silicon adoption. The conversation explores legacy software challenges and developer responsibility during platform transitions. Additional stories include Toyota adding Apple Wallet car key support, Tesla's rumored CarPlay integration delays, and a powerful real-world example of Emergency SOS via satellite saving skiers in a Lake Tahoe avalanche. Finally, Apple's sports strategy takes center stage as MLS Season Pass becomes free for Apple TV+ subscribers, joining F1 and Friday Night Baseball in Apple's expanding live sports ecosystem. Breaking News Apple Announces Special Event in New York, London, and Shanghai on March 4 Apple Event on March 4: Here's What to Expect Upcoming Low-Cost MacBook May Come in Yellow, Green, Blue, and Pink F1 races to screen live in IMAX theatres in 2026 as Apple TV unveils new US viewing experience Topics and Links In Touch With Vision Pro this week.  Could Apple Demo Immersive F1 on Vision Pro at Its March 4 Event? visionOS 26.4 Beta Release Notes visionOS 26.4 unlocks new 'foveated streaming' feature for apps and games Beta this week. iOS 26.4 Beta 1 was released this week.  Apple Seeds First Betas of iOS 26.4 and iPadOS 26.4 to Developers Everything New in iOS 26.4 Beta 1 iOS 26.4 Adds Average Bedtime Metric and Restores Blood Oxygen to Health App Vitals Graph Apple Removes iTunes Movies and TV Shows Apps in tvOS 26.4 iOS 26.4 Brings CarPlay Support for ChatGPT, Claude and Gemini In Touch With Mac this week First macOS Tahoe 26.4 Beta Now Available for Developers Apple Releases First watchOS 26.4, tvOS 26.4 and visionOS 26.4 Betas  macOS Tahoe 26.4 Displays Warnings for Apps That Won't Work After Rosetta 2 Support Ends Other Topics Android-to-iPhone AirDrop Transfers Now Supported on Pixel 9 Tesla's CarPlay Plans Delayed by Apple Maps Compatibility Issue  Jeff met with Omni Group and reviews their 2026 road plan for OmniGraffle and OmniFocus for iPad and iPhone.  Omni Links News Toyota Rolling Out Apple Wallet Car Keys on iPhone  iPhone's Emergency SOS via Satellite Feature Helped Rescue Skiers Caught in Lake Tahoe Avalanche Apple TV Sports Content Including F1, MLS, and Friday Night Baseball Coming to Bars and Restaurants MLS 2026 Season Begins February 21 on Apple TV With Free Access for Subscribers Announcements Macstock X is here celebrating its 10th anniversary! With Three Full Days of expert-led Presentations and Workshops, Macstock's sessions are crammed full of productivity-enhancing content. NEW this year is a partnership with sponsor Ecamm. Ecamm Creator Camp: Mac Edition on July 9, 2026 there are only 100 tickets available for the bundle. There are 2 passes available: Macstock weekend pass July 10,11,12, 2026 or the Macstock Ecamm Bundle starting July 9 (only 100 tickets available)  Come join us. Register HERE Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at eabolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.   Jill McKinley works in enterprise software, server administration, and IT A lifelong tech enthusiast, she started her career with Windows but is now an avid Apple fan. Beyond technology, she shares her insights on nature, faith, and personal growth through her podcasts—Buzz Blossom & Squeak, Start with Small Steps, and The Bible in Small Steps. Watch her content on YouTube at @startwithsmallsteps and follow her on X @schmern. Find all her work at http://jillfromthenorthwoods.com  Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Guy Serle is one of the hosts of the new The Gmen Show along with GazMaz and email GMenshow@icloud.com  @MacParrot and @VertShark on X  Vertshark on YouTube, Google Voice +1 Area code  703-828-4677

AI solopreneurs are navigating rapid change.The tools are accelerating. The updates are constant. And it can feel overwhelming.In this episode, Marisa explains why the real challenge isn't technology. It's the weight of change. And the real advantage in 2026 will belong to AI solopreneurs who prioritize clarity over complexity.What You'll Discover in This EpisodeWhy AI noise can feel overwhelming for solo business ownersWhy the real advantage isn't more tech skillsHow AI will scale what you clearly understandThe five skills that actually matter in your businessWhy is critical thinking essential when using AIHow workflow development creates real leverageWhy strategic restraint matters in an AI transitionSkip Hours of Prompt Trial & Error with ChatGPTWhether you're writing, planning, analyzing, or brainstorming, my C.O.N.T.E.X.T. ™ method transforms ChatGPT into a consistent marketing assistant. No steep learning curve.Free Download!https://marisashadrick.com/prompts If you're ready to grow with effective marketing that actually feels manageable, here's your next move.Inside AI Lab for Solopreneurs, get Custom GPTs, templates, and coaching to grow your business. Visit: https://marisashadrick.com/communityListen to the "Amplify Your Authority" Podcast! Click Here! Rate & Review: If you enjoyed this episode, please take a moment to leave a 5-star rating and review on Apple Podcasts. Tip: Answer these questions inside of ChatGPT (free or paid) and have AI craft your review! How did you discover this podcast? What's your biggest takeaway from this episode? How has this podcast helped your current journey? Thanks so much for taking a few minutes to craft a review!

B.C. Premier David Eby says families in Tumbler Ridge are asking themselves if their kids would still be alive if the developer of ChatGPT had alerted law enforcement after banning the shooter's account months prior. Eby describes his anger after experiences that have 'changed me forever' and says that while he can't be sure from the outside, 'it sure looks like' OpenAI could have prevented the tragedy. Plus, Defence Minister David McGuinty previews what he and Prime Minister Mark Carney are hoping to accomplish when they head to India this week.