Podcasts about hallucinations

I look back at the Starcraft miniset that came with The Great Dark Beyond before playing Protoss Priest on the ladder. You can find the deck import code below the following contact links.  You can follow me @blisterguy on Twitch, Bluesky, and Youtube. Join our Discord community here or at discord.me/blisterguy. You can support this podcast and my other Hearthstone work at Patreon here. # 2x (0) Gravity Lapse # 2x (1) Catch of the Day # 2x (1) Hallucination # 2x (2) Birdwatching # 2x (2) Photon Cannon # 2x (2) Sentry # 1x (3) Chillin' Vol'jin # 1x (3) Demolition Renovator # 2x (3) Intertwined Fate # 2x (3) Trusty Fishing Rod # 2x (3) Void Ray # 1x (4) Elise the Navigator # 1x (4) Narain Soothfancy # 2x (5) Chrono Boost # 2x (6) Resuscitate # 1x (7) Sasquawk # 1x (8) Artanis # 2x (12) Mothership #  AAECAZ/HAgavwQbZwQbX0gaT9AaDigeCmAcMzsAGjMEGi9YGwOYGi/QGkPQGmPQGs/QGxfgGyvgGtZYHna0HAAA=

Let's talk about the AI elephant in the room: hallucinations.

Travis and Jake are joined by journalist Mike Rothschild to discuss the second time that the federal government has killed someone in Minnesota then smeared them as a terrorist, the growing paranoia on the right that opposition to occupation by federal agents constitutes an “insurgency,” the White House manipulating photos using AI, Kash Patel treating the FBI like his personal Hype House, and alleged time travel by the late Charlie Kirk. Subscribe for $5 a month to get all the premium QAA episodes: www.patreon.com/qaa Mike Rothschild https://x.com/rothschildmd https://bsky.app/profile/rothschildmd.bsky.social Mike Rothschild's Patreon https://www.patreon.com/cw/MikeRothschild Check out our new podcast series network Cursed Media and binge the entirety of our exclusive shows Science in Transition by Liv Agar and Truly, Tradly, Deely by Annie Kelly https://cursedmedia.net Editing by Corey Klotz. Theme by Nick Sena. Additional music by Pontus Berghe. Theme Vocals by THEY/LIVE (https://instagram.com/theyylivve / https://sptfy.com/QrDm). Cover Art by Pedro Correa: (https://pedrocorrea.com) https://qaapodcast.com QAA was known as the QAnon Anonymous podcast.

Why did a German immigration officer deny asylum to a Russian torture victim by citing a press release from Sergei Shoigu? Why is the Russian Orthodox Church building an Artificial Intelligence to automate the writing of police denunciations? And why is Vladimir Putin personally designing a business plan for a single pie shop while the national gold reserves vanish?In this episode of The Eastern Border, we smash the glass of the "Republic of Fake." We travel from the heated offices of Berlin bureaucrats who have accepted the Kremlin's lies as legal truth, to the frontlines where "Turbo-Patriots" are realizing that their holy war has become nothing more than an unfashionable subculture.We dig into the "Kickback Empire" where 50% of the imperial budget is stolen by handlers in Moscow, meet "Yura Unitaz"—the alleged toilet salesman in charge of Russia's drone war—and analyze the forensic data proving the Kadyrov regime is running on autopilot.The cake is rotting, friends. Don't eat it.IN THIS EPISODE:The Shoigu Precedent: How German bureaucracy was hacked by Russian apathy.The Mashenka Economy: The President, the Pie Shop, and the 1998 oil prices.Orthodox GPT: Outsourcing Judas to a server farm.The Kadyrov Glitch: Waze data, deleted Instagram posts, and the panic in Grozny.The Dead End: Why Russian nationalists admit "The SMO is out of fashion."SUPPORT THE FRONT LINE: Help our friends at Car4Ukraine turn civilian trucks into life-saving "Christmas Tree Trucks" for the defenders on the zero line:

End Legal AI Hallucinations Now. Discover how Clip's unique architecture delivers precise, sourced answers for attorneys, turning case files into a strategic advantage. See the real-time power that helped a law firm challenge testimony mid-deposition. Watch the full podcast trailer to learn how focused AI is transforming legal practice.

Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo, the leading logical data management platform and foundation for transforming data into trusted, AI-ready … Read more The post How to stop hallucination and sycophancy in Agentic AI with Logical Data appeared first on Top Entrepreneurs Podcast | Enterprise Podcast Network.

#SecurityConfidential #DarkRhiinoSecurityDr. Rizwan Sheikh is the Founder and CEO of Global AI Excellence, the inventor of a groundbreaking AI governance model, and one of the leading voices helping organizations deploy AI responsibly. With decades of experience spanning Deloitte, Fortune 500 consulting, and teaching AI strategy at places like Harvard and MIT, Dr. Riz is helping bridge the gap between innovation and governance. 01:00 Intro02:34 Our Guest03:33 93% of Employees are using AI05:04 Why don't existing governance models work?06:15 ChatGPT Sources are fake07:17 A.I Hallucinates12:06 How do you govern Ai?22:02 When should you govern Ai?31:47 What should AI look like for my company? 33:45 European Union AI Act39:05 Believing False AI statements43:20 How can you build governance to something that changes daily?45:43 How do I get into AI?48:06 Connecting with Dr. Rizwan

#SecurityConfidential #DarkRhiinoSecurityDr. Rizwan Sheikh is the Founder and CEO of Global AI Excellence, the inventor of a groundbreaking AI governance model, and one of the leading voices helping organizations deploy AI responsibly. With decades of experience spanning Deloitte, Fortune 500 consulting, and teaching AI strategy at places like Harvard and MIT, Dr. Riz is helping bridge the gap between innovation and governance. 01:00 Intro02:34 Our Guest03:33 93% of Employees are using AI05:04 Why don't existing governance models work?06:15 ChatGPT Sources are fake07:17 A.I Hallucinates12:06 How do you govern Ai?22:02 When should you govern Ai?31:47 What should AI look like for my company? 33:45 European Union AI Act39:05 Believing False AI statements43:20 How can you build governance to something that changes daily?45:43 How do I get into AI?48:06 Connecting with Dr. Rizwan

News and Updates: AI Report Hallucinations in Utah- Heber City police discovered their AI software, Draft One, mistakenly claimed an officer became a frog because it transcribed background audio from a Disney movie nearby. Apple and Google AI Partnership- Apple partnered with Google to use Gemini models for future Apple Intelligence features, admitting Google's technology is superior for powering the upcoming next-generation Siri upgrade. Copilot Integration in Windows File Explorer- Microsoft is testing a "Chat with Copilot" button within File Explorer, aiming to improve document searching and introduce a new framework for specialized AI agents.

Dwayne Kerrigan sits down with world-class endurance athlete, firefighter, nonprofit founder, and keynote speaker Robyn Benincasa to unpack what truly separates great teams from the rest. Drawing from decades of extreme adventure racing, Robyn shares how elite teams win not by being the most talented, but by being the most committed to each other. She introduces her powerful TEAMWORK framework, revealing why total commitment, empathy, adversity management, mutual respect, and relinquishing ego are the real competitive advantages—whether you're racing through jungles or leading a modern organization. Through unforgettable stories—including hallucinations after days without sleep, tying boats together to beat world champions, and redefining leadership mid-race—Robyn shows how purpose, preparation, creativity, and shared ownership create cultures that don't just survive pressure… they win because of it. This episode is a masterclass in leadership, resilience, and building teams that operate as one heart, one mind, especially when the stakes are high and the path forward is uncertain. EPISODE HIGHLIGHTS: 00:00 – Robyn opens with the defining trait of elite teammates: leaving ego at the start line. 01:00 – Dwayne formally introduces Robyn and outlines her extraordinary background. 03:00 – Robyn shares discovering kayaking after hip surgery and focusing on what she could do. 06:30 – Why progress toward a meaningful goal is what makes humans feel alive. 10:30 – Competing to explore personal limits rather than seeking validation or approval. 14:00 – Why great teams care more about each other than themselves. 18:00 – How Robyn accidentally became a speaker after Fast Company's “Extreme Teamwork” 21:30 – The importance of leaving ego behind and accepting help to win as a team. 25:30 – The “Steve Gurney Missile” story and choosing to race to win instead of not lose. 30:00 – Creativity, calculated risk, and living in your strengths under pressure. 34:30 – Relinquishing ego, rotating leadership, and leading based on strengths—not titles. 39:00 – Hallucinations, extreme fatigue, and supporting teammates through suffering. 42:00 – Kinetic leadership and adapting leadership styles to what the team needs. 45:30 – Purpose, coaching influence, and how early mentors shaped Robyn's drive. 50:30 – Innovation, self-awareness, and evolving by leaning into strengths. 56:00 – Finding a greater purpose in business.KEY TAKEAWAYS: Winning teams prioritize commitment to each other, not individual performance. Progress toward a meaningful goal is what makes humans feel alive. Creativity and innovation emerge when teams operate from trust and purpose. Leadership should rotate based on strengths, not titles or tenure. Accepting help is not a weakness, it's how teams move faster and farther. Great leaders show people how amazing they are, not how amazing the leader is. NOTABLE QUOTES: “ I feel weird when I don't have a goal. I get my juju, I get my energy from...

Today on the show, Lisa was joined by returning guest Genevieve Moore of Soul Meets Body! Lisa and Genevieve catch up on what has happened since the last time they chatted, the release of Hallucinations, overcoming struggle to get this record out, touring and so much more.-------------------------------------------------------Find Soul Meets Body :Insta: https://www.instagram.com/soulmeetsbodybandAll other links via link tree: https://linktr.ee/soulmeetsbodyband---------------------------------------------Find Stereo Therapy :Insta: https://www.instagram.com/stereo.therapy Website: https://www.stereotherapypod.com----------------------------------------------Theme Song by Walwin

How does someone run 100-mile weeks for 300 consecutive weeks without destroying their body? Today, I'm with Andrew Glaze to unpack the recovery protocols and biological strategies that make ultra endurance possible. You'll learn actionable insights on recovery, nutrition timing, and what biomarkers actually matter when you're pushing your body to extremes.​​​​​​​​​​​​​​​​ CLICK HERE TO BECOME GARYS VIP!: ⁠https://bit.ly/4ai0Xwg⁠ Connect with Andrew Glaze Website: ⁠https://bit.ly/4jE3QfH⁠  YouTube: ⁠https://bit.ly/4sJopM0⁠  Instagram: ⁠https://bit.ly/49zjkwV⁠  TikTok: ⁠https://bit.ly/4sFjRG8⁠  X.com: ⁠https://bit.ly/49ONldn⁠  LinkedIn: ⁠https://bit.ly/45c3xmm⁠  Pre-sell to his book, "Smile, Or You're Doing it Wrong" Thank you to our partners H2TABS: “ULTIMATE10” FOR 10% OFF: ⁠https://bit.ly/4hMNdgg⁠ BODYHEALTH: “ULTIMATE20” FOR 20% OFF: ⁠http://bit.ly/4e5IjsV⁠ BAJA GOLD: "ULTIMATE10" FOR 10% OFF: ⁠https://bit.ly/3WSBqUa⁠ SNOOZE: LET'S GET TO SLEEP!: ⁠https://bit.ly/4pt1T6V⁠ COLD LIFE: THE ULTIMATE HUMAN PLUNGE: ⁠https://bit.ly/4eULUKp⁠ WHOOP: JOIN AND GET 1 FREE MONTH!: ⁠https://bit.ly/3VQ0nzW⁠ AION: “ULTIMATE10” FOR 10% OFF: ⁠https://bit.ly/4h6KHAD⁠ A-GAME: “ULTIMATE15” FOR 15% OFF: ⁠http://bit.ly/4kek1ij⁠ PEPTUAL: “TUH10” FOR 10% OFF: ⁠https://bit.ly/4mKxgcn⁠ CARAWAY: “ULTIMATE” FOR 10% OFF: ⁠https://bit.ly/3Q1VmkC⁠ HEALF: 10% OFF YOUR ORDER: ⁠https://bit.ly/41HJg6S⁠ RHO NUTRITION: “ULTIMATE15” FOR 15% OFF: ⁠https://bit.ly/44fFza0⁠ GOPUFF: GET YOUR FAVORITE SNACK!: ⁠https://bit.ly/4obIFDC⁠ GENETIC METHYLATION TEST (UK ONLY): ⁠https://bit.ly/48QJJrk⁠ GENETIC TEST (USA ONLY): ⁠⁠https://bit.ly/3Yg1Uk9⁠ Watch  the “Ultimate Human Podcast” every Tuesday & Thursday at 9AM EST: YouTube: ⁠https://bit.ly/3RPQYX8⁠ Podcasts: ⁠https://bit.ly/3RQftU0⁠ Connect with Gary Brecka Instagram: ⁠https://bit.ly/3RPpnFs⁠ TikTok: ⁠https://bit.ly/4coJ8fo⁠ X: ⁠https://bit.ly/3Opc8tf⁠ Facebook: ⁠https://bit.ly/464VA1H⁠ LinkedIn: ⁠https://bit.ly/4hH7Ri2⁠ Website: ⁠https://bit.ly/4eLDbdU⁠ Merch: ⁠https://bit.ly/4aBpOM1⁠ Newsletter: ⁠https://bit.ly/47ejrws⁠ Ask Gary: ⁠https://bit.ly/3PEAJuG⁠ Timestamps 00:00 Intro of Show 02:35 Andrew Glaze's Back Story 04:53 PTSD Recovery for First Responders 10:32 Mental Endurance for Ultra Marathons 15:26 Biohacking and Health Practices 15:59 Andrew's Supplement Routine 23:14 Moab 240 Preparations and Experience 28:28 Hallucinations and Injuries during Distance Racing 49:32 Finishing the Moab 240 Race 50:44 Balancing Running and Firefighting 54:15 Motivation in Running Marathons 1:13:37 Goal-Setting and Accomplishments 1:01:29 Prioritising Health Today 1:04:19 Recovery Protocols and Mental Toughness 1:05:13 Andrew's Next Races 1:13:38 Accomplishments and Inspiration 1:12:10 Andrew's Health Practices Disclaimer: This podcast is for informational purposes only and does not provide medical advice. It is not intended for diagnosing or treating any health condition. Always consult a licensed healthcare professional before making health or wellness decisions. Gary Brecka is the owner of Ultimate Human, LLC which operates The Ultimate Human podcast and promotes certain third-party products used by Gary Brecka in his personal health and wellness protocols and daily life and for which Ultimate Human LLC and / or Gary Brecka directly or indirectly holds an economic interest or receives compensation.  Accordingly, statements made by Gary Brecka and others (including on The Ultimate Human podcast) may be considered promotional in nature. Learn more about your ad choices. Visit megaphone.fm/adchoices

They promised us flying cars, moon colonies, and a life of leisure. Instead, we got Wi-Fi-connected salt shakers and chatbots that hallucinate fake legal precedents. Welcome to the "future," folks. It's expensive, it requires a software update, and it doesn't work. In this episode, The Critic takes a sledgehammer to the hype cycle. We dive into the "Smart Home" nightmare, asking the brave question: "Does my refrigerator really need a Twitter account?" We explore the phenomenon of AI hallucinations, where the world's smartest computers confidently gaslight us into believing nonsense. We dissect the "Infinite Loop of Garbage," where humans use AI to write emails that other humans use AI to read. And finally, we pay tribute to the "Tech Bros"—the billionaire saviors who are busy building luxury bunkers in New Zealand while claiming to save the world. Buckle up. We're about to pop the bubble. To unlock full access to all our episodes, become a premium subscriber on Apple Podcasts or Patreon. And don't forget to visit englishpluspodcast.com for more content and learning.

Cristina Cranga: When Teams Stop Testing Reality and Fall Into Decision Hallucinations Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "Over time, what I notice is that teams stop testing reality. They optimize execution around constraints that might no longer exist." - Cristina Cranga   Cristina introduces a powerful concept she calls "decision hallucinations"—the perception of constraints and boundaries that aren't actually real or present. In her experience working with teams in complex matrix environments, she noticed a troubling pattern: team members would say things like "we can't change this because it's already decided" or "the priority comes from the top level" without ever verifying these assumptions.  The impact on team behavior was significant—teams stopped asking questions, stopped having conversations with stakeholders, and began operating within perceived limitations rather than actual ones. Cristina emphasizes that as Agile practitioners, our work isn't just about ceremonies and metrics—it's about supporting and facilitating decision processes.  When she encouraged teams to ask better questions like "Is this an assumption-based decision or an explicit shared choice?", something beautiful happened: options reappeared, conversations changed, and teams realized they were constrained by perception rather than reality. She uses the famous duck vs. rabbit optical illusion from psychology to illustrate how our brains can only see one reality at a time, making the case that we must constantly test our view of reality through continuous conversations with stakeholders.   In this episode, we refer to the work of Esko Kilpi on conversations and the duck vs rabbit image from psychology.   Self-reflection Question: When was the last time you challenged an assumption your team operates under, and what did you discover when you tested that reality?   [The Scrum Master Toolbox Podcast Recommends]

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Kelvin Lwin for their second conversation exploring the fascinating intersection of AI and Buddhist cosmology. Lwin brings his unique perspective as both a technologist with deep Silicon Valley experience and a serious meditation practitioner who's spent decades studying Buddhist philosophy. Together, they examine how AI development fits into ancient spiritual prophecies, discuss the dangerous allure of LLMs as potentially "asura weapons" that can mislead users, and explore verification methods for enlightenment claims in our modern digital age. The conversation ranges from technical discussions about the need for better AI compilers and world models to profound questions about humanity's role in what Lwin sees as an inevitable technological crucible that will determine our collective spiritual evolution. For more information about Kelvin's work on attention training and AI, visit his website at alin.ai. You can also join Kelvin for live meditation sessions twice daily on Clubhouse at clubhouse.com/house/neowise.Timestamps00:00 Exploring AI and Spirituality05:56 The Quest for Enlightenment Verification11:58 AI's Impact on Spirituality and Reality17:51 The 500-Year Prophecy of Buddhism23:36 The Future of AI and Business Innovation32:15 Exploring Language and Communication34:54 Programming Languages and Human Interaction36:23 AI and the Crucible of Change39:20 World Models and Physical AI41:27 The Role of Ontologies in AI44:25 The Asura and Deva: A Battle for Supremacy48:15 The Future of Humanity and AI51:08 Persuasion and the Power of LLMs55:29 Navigating the New Age of TechnologyKey Insights1. The Rarity of Polymath AI-Spirituality Perspectives: Kelvin argues that very few people are approaching AI through spiritual frameworks because it requires being a polymath with deep knowledge across multiple domains. Most people specialize in one field, and combining AI expertise with Buddhist cosmology requires significant time, resources, and academic background that few possess.2. Traditional Enlightenment Verification vs. Modern Claims: There are established methods for verifying enlightenment claims in Buddhist traditions, including adherence to the five precepts and overcoming hell rebirth through karmic resolution. Many modern Western practitioners claiming enlightenment fail these traditional tests, often changing the criteria when they can't meet the original requirements.3. The 500-Year Buddhist Prophecy and Current Timing: We are approximately 60 years into a prophesied 500-year period where enlightenment becomes possible again. This "startup phase of Buddhism revival" coincides with technological developments like the internet and AI, which are seen as integral to this spiritual renaissance rather than obstacles to it.4. LLMs as UI Solution, Not Reasoning Engine: While LLMs have solved the user interface problem of capturing human intent, they fundamentally cannot reason or make decisions due to their token-based architecture. The technology works well enough to create illusion of capability, leading people down an asymptotic path away from true solutions.5. The Need for New Programming Paradigms: Current AI development caters too much to human cognitive limitations through familiar programming structures. True advancement requires moving beyond human-readable code toward agent-generated languages that prioritize efficiency over human comprehension, similar to how compilers already translate high-level code.6. AI as Asura Weapon in Spiritual Warfare: From Buddhist cosmological perspective, AI represents an asura (demon-realm) tool that appears helpful but is fundamentally wasteful and disruptive to human consciousness. Humanity exists as the battleground between divine and demonic forces, with AI serving as a weapon that both sides employ in this cosmic conflict.7. 2029 as Critical Convergence Point: Multiple technological and spiritual trends point toward 2029 as when various systems will reach breaking points, forcing humanity to either transcend current limitations or be consumed by them. This timing aligns with both technological development curves and spiritual prophecies about transformation periods.

Season 63, Episodes 83-87, Spoiler Level CFS (Crazy ** Spoilers) Willow's verdict is in and Kathy isn't happy about it, Anna tries to escape but her situation gets more awful, Dante and Chase discuss how to approach this case without bias, and Olivia threatens to shoot Martin and Drew (and it was amazing). In Fashion, Stacy and Kathy disagree on Nina's blue dress. And in Musings they discuss all the romance (loved it), how the WSB is full of bad guys, Britt's former boyfriend being a lumberjack, and how Jacinda is awesome for loving video games. Thank you for listening to our General Hospital podcast. If you enjoyed it, please subscribe and tell your friends. Drop us a review. And let us know your own musings and theories and fashion notes. Reach Stacy at Alexis@areweghing.com and Kathy at Felicia@areweghing.com. For more information, please visit us at www.areweghing.com Recorded 1-17-26, Music by Grammy award winning Alex Robinson https://www.musicbyalexrobinson.com/ and logo by the equally as amazing Jakob Evans.

Amanda Kahlow, CEO and founder of 1Mind, joins Amir to break down what AI changes in modern sales and go to market, and what it does not. If you lead revenue, product, or growth, this is a practical look at where AI creates leverage today, where humans still matter, and how teams actually adopt it without chaos.Amanda shares how “go to market superhumans” can handle everything from early buyer conversations to demos, sales engineering support, and customer success. They also dig into trust, hallucinations, and why the bar for AI feels higher than the bar for people.Key takeaways• Most buyers want answers early, without the pressure that comes with talking to a salesperson• AI can remove friction by turning static content into a two way conversation that helps buyers move faster• The hardest part of adoption is not capability, it is change management and trust inside the team• Humans still shine in relationship and nuance, but AI can outperform on recall, depth, and real time access to the right info• As AI levels the selling experience, product quality matters more, and the best product has a clearer path to winTimestamped highlights00:31 What 1Mind builds, and what “go to market superhumans” actually do across the full buyer journey02:00 The buyer lens, why early conversations matter, and how AI gives control back to the buyer06:14 Why the SDR experience is frustrating for buyers, and where AI can improve both sides09:42 Change management in the real world, why “everyone build an agent” gets messy fast13:04 Why “swivel chair” AI fails, and what real time help should look like in live conversations15:52 Hallucinations and trust, plus the blunt question every leader should ask about human error22:26 Competitive advantage today, and why adoption eventually pushes markets toward “best product wins”A line worth sharing“Do your humans hallucinate, and how often do they do it?”Pro tips you can use this week• Start with low stakes usage, bring AI into calls quietly, then ask it for a summary and what you missed• Build adoption top down, define what good looks like, otherwise you get a pile of similar agents and no clarity• Focus AI on what it does best first, recall, context, and instant answers, then expand into workflow and process laterCall to actionIf this episode sparked ideas for your sales team or your product led funnel, follow the show so you do not miss the next one. Share it with one revenue leader who is trying to modernize their go to market motion, and connect with Amir on LinkedIn for more clips and operator level takes.

Amir (Co-Founder at Humblytics) shares how he builds an “AI-native” company by focusing less on shiny tools and more on change management: assessing AI fluency across roles, setting the right success metrics, and creating shared context so AI can reliably ship work. The big theme is convergence—engineering, product, and design are collapsing into tighter loops thanks to tools like Cursor, MCP connectors, and Figma Make. Amir demos workflows like: AI-generated context files + auto-updated documentation, scraping customer domains to infer ICPs, turning screenshots into layered Figma designs, then converting Figma to working React code in minutes, and even running an “AI co-founder” Slack bot that files Linear tickets and can hand work to agents.Timestamps0:00 Introduction0:06 Amir's stance: “no AI experts” — it's constant learning in a fast-changing field.1:59 Cursor as the unlock: not just coding, but PM/strategy/design work via MCPs.4:17 The real problem: AI adoption is mostly change management + fluency assessment.5:18 The AI fluency rubric (helper → automator → augmentor → agentic) and why it matters.8:13 Cursor analytics: measuring AI-generated code and usage across the team.9:24 “New code is ~99% AI-generated” + how they keep quality via tight review + incremental changes.10:58 Docs workflow: GitBook connected to repo → AI edits docs and pushes live fast.14:02 ICP building: export Stripe customers → scrape domains with Firecrawl → cluster personas.17:45 Hallucination in the wild: AI misclassifies a company; human correction loop matters.34:43 Wild move: they often design in code and use an AI-generated style guide to stay consistent.38:10 Best demo: screenshot → Figma Make → layered design → Figma MCP → React code in minutes.45:29 “AI co-founder” Slack bot (Pixel): turns a bug report into a Linear ticket and can hand off to agents.48:46 Amir's wish list: we “solved dev”; now we need Cursor for marketing/sales → path to $1M ARR.Tools & technologies mentionedCursor — AI-first IDE used for coding and product/design/strategy workflows; includes team analytics.MCP (Model Context Protocol) — “connector” layer (Anthropic-origin) that lets LLMs interface with external tools/services.ChatGPT — used as a common baseline tool; discussed in the context of prompting practices and workflows.Microsoft Copilot — referenced via the law firm incentive story; used as an example of “usage metrics” gone wrong.Anthropic (AI fluency framework) — inspiration source for the helper/automator/augmentor/agentic rubric.GitBook — documentation platform connected to the repo so docs can be updated and published quickly.Firecrawl (MCP) — agentic web scraper used to analyze customer domains and infer ICP/personas.Stripe — source of customer export data (domains) to build ICP clustering.Figma — design collaboration tool; used here with Make + MCP to move from design → code.Figma Make — feature to recreate UI from an image/screenshot into editable, layered designs.Figma MCP — connector that allows Cursor/LLMs to pull Figma components/designs and generate code.React — front-end framework used in the demo for generating functional UI components.Supabase — mentioned as part of a sample stack when generating a PRD.React Router — mentioned as part of the sample stack in PRD generation.Slack — where Amir runs internal agents (including the “AI co-founder” bot).Linear — project management tool used for creating tickets from Slack/agent workflows.CI/CD — their deployment/review pipeline; emphasized as the human accountability layer.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

LinksGround loop (electricity) - WikipediaHallucination or Confabulation? Neuroanatomy as metaphor in Large Language Models - PMCGraze: Custom Feed Builder for Bluesky · GrazeServerless Statusphere: a walk through building serverless ATProto applications on Cloudflare's Developer PlatformAT ProtocolHow to Transfer Your ChatGPT MemoryWorks for ChatGPT Data - Google DriveStewart Lee - WikipediaStewart Lee's Comedy Vehicle - WikipediaStewart Lee vs The Internet - Stewart Lee's Comedy Vehicle - Series 3 Episode 1 Preview - BBC - YouTubeEnglish Arrested for Being English? Stewart Lee's Humorous Take on British Culture | TikTokStewart Lee S4E6 - Childhood - YouTubeStewart Lee S3E3 - Satire - YouTubeStewart Lee - [1/2] Give It To Me Straight, Like Pear Cider That's Made From 100% Pears - YouTubeStewart Lee - [2/2] Give It To Me Straight, Like Pear Cider That's Made From 100% Pears - YouTubeStewart Lee On The Challenge Of Stand-Up - YouTubeComedian Stewart Lee on why he won't tour Trump's America - YouTubeStewart Lee in Conversation with Alan Moore - YouTubeJerry Springer: The Opera - WikipediaTaskmaster Origins - Rare Footage of the First Ever Show! (Edinburgh 2010) - YouTube

In this bilingual movie gathering (with Portuguese translation), David Hoffmeister uses a film about a woman who gains the ability to hear people's inner thoughts as songs to illustrate a profound truth: There are no private thoughts.Connecting the movie's plot—triggered by an MRI and an earthquake—to A Course in Miracles Workbook Lesson 19, David explores the reversal of cause and effect. We often believe that external events—like a flat tire, a grumpy boss, or sour milk—cause our bad days. However, David explains that the world is actually a projection of our own minds.Join this session to discover why the ego's version of reality is a "hallucination" and how the Holy Spirit offers a way to wake up from the dream of separation.For more information about bilingual movie gatherings, David Hoffmeister, and Living Miracles events, visit https://www.the-christ.net/eventsFree Bilingual Movie GatheringsThis January, we'll meet each Saturday for an online movie gathering with David Hoffmeister! Through David's deeply insightful commentaries and teachings, the mind is opened to a living experience of A Course in Miracles, offering a profound opportunity for healing and heartfelt connection. All sessions are in English, with live translation into one of the following languages each week: Spanish, Portuguese, Japanese, or German.Recorded live online on January 10, 2025, in Mexico.Follow us on:YouTube: https://www.youtube.com/DavidHoffmeister Facebook: https://www.facebook.com/ACIM.ACourseInMiracles Learn more about David & Living Miracles: https://livingmiraclescenter.orgLearn more about A Course in Miracles: https://ACIM.bizDavid's Spanish Youtube Channel is: https://www.youtube.com/channel/UCP9Gw00CldPUmiu43y7fdWw

“He wouldn't take no for an answer” - On Valentine's Day, 2020, cops respond to a 1 a.m. call in the Hollywood Hills, where they discover 38-year-old family therapist Amie Harwick fighting for her life, and her roommate Michael Herman, with blood on his hands. Michael is brought in for questioning but swears had nothing to do with it, and that the perpetrator must have fled into the night. What cops don't know is that the man they have in custody is telling the truth, and that the real attacker is still out there. But, Amie's best friend, Robert Coshland, is on the case: he's determined to take down the man who's been stalking Amie for years, & finally get justice.  - For more information about Justice 4 Amie, please see here: https://www.change.org/p/adam-b-schiff-justice-4-amie-domestic-violence-laws-updated  - Credits:Directed, written & edited by Matthew Rice Researched by Tiffany Loxton Co-written by Kat Gardilcic & Tiffany Loxton Voiceover by William Akana Produced by Salim Sader “The Final Hours of Amie Harwick.” 48 Hours: CBS Broadcasting Inc., 2022. (CBS News) “Justice for Amie Harwick.” 48 Hours: CBS Broadcasting Inc., 2024. (CBS News) “Celebrity Sexpert.” Death By Fame: Warner Bros. Discovery Inc., 2023 (AMPLE Entertainment) “Love, Death, and Obsession In Hollywood.” A Plan to Kill: Oxygen Media LLC, 2024 (Peacock) Man Walks Outside To Find Decapitated Roommate, Dr. Insanity, 2024. Nightline, ABC News,  CBS Mornings, CBS Broadcasting Inc. Inside Edition, CBS Broadcasting Inc. Getty Images Learn more about your ad choices. Visit megaphone.fm/adchoices

Moiz Kohari, VP of Enterprise AI and Data Intelligence at DDN, breaks down what it actually takes to get AI into production and keep it there. If your org is stuck in pilot mode, this conversation will help you spot the real blockers, from trust and hallucinations to data architecture and GPU bottlenecks.Key takeaways• GenAI success in the enterprise is less about the demo and more about trust, accuracy, and knowing when the system should say “I don't know.”• “Operationalizing” usually fails at the handoff, when humans stay permanently in the loop and the business never captures the full benefit.• Data architecture is the multiplier. If your data is siloed, slow, or hard to access safely, your AI roadmap stalls, no matter how good your models are.• GPU spend is only worth it if your pipelines can feed the GPUs fast enough. A lot of teams are IO bound, so utilization stays low and budgets get burned.• The real win is better decisions, faster. Moving from end of day batch thinking to intraday intelligence can change risk, margin, and response time in major ways.Timestamped highlights00:35 What DDN does, and why data velocity matters when GPUs are the pricey line item02:12 AI vs GenAI in the enterprise, and why “taking the human out” is where value shows up08:43 Hallucinations, trust, and why “always answering” creates real production risk12:00 What teams do with the speed gains, and why faster delivery shifts you toward harder problems12:58 From hours to minutes, how GPU acceleration changes intraday risk and decision making in finance20:16 Data architecture choices, POSIX vs object storage, and why your IO layer can make or break AI readinessA line worth stealing“Speed is great, but trust is the frontier. If your system can't admit what it doesn't know, production is where the project stops.”Pro tips you can apply this week• Pick one workflow where the output can be checked quickly, then design the path from pilot to production up front, including who approves what and how exceptions get handled.• Audit your bottleneck before you buy more compute. If your GPUs are waiting on data, fix storage, networking, and pipeline throughput first.• Build “confidence behavior” into the system. Decide when it should answer, when it should cite, and when it should escalate to a human.Call to actionIf you got value from this one, follow the show and turn on notifications so you do not miss the next episode.

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.In this episode, host Bidemi Ologunde unpacks OpenAI's newly released ChatGPT Health and what it signals about the future of consumer-facing healthcare AI. What exactly is "ChatGPT Health," and why is OpenAI moving from general chat to a dedicated health experience? When an AI gives the wrong answer in a high-stakes setting—medical advice, airline refunds, legal citations—who owns the liability: the user, the company deploying the chatbot, or the model-maker? How are regulators in the U.S., Europe, and beyond approaching AI in healthcare—and what counts as "wellness" versus "medical" software? Bidemi also explores the realities of AI error, hallucinations, and bias, and asks what these tools could mean for underserved and minority populations worldwide— including Native Americans, Pacific Islanders, and communities in low-resource health systems.Email: bidemiologunde@gmail.comSupport for The Bid Picture Podcast comes from Intuit QuickBooks. If you're running a business, a side hustle, or just trying to stay on top of your money, QuickBooks helps you track income and expenses, send invoices, and see where things stand—without living in spreadsheets. It's tech that's meant to give you time back, so you can spend more of your attention on your life, not your tabs. If you're asked how you heard about QuickBooks, please mention The Bid Picture Podcast. Learn more at quickbooks.intuit.com.Support for The Bid Picture Podcast comes from VIZZ. If age-related blurry near vision—also called presbyopia—has you holding your phone farther away or avoiding the small print, ask your eye doctor about VIZZ, a once-daily prescription eye drop for adults that treats blurry near vision. Do not use VIZZ if you are allergic to any of its ingredients. The most common side effects are eye irritation, temporary dim or dark vision, headache, and eye redness. Be careful driving at night or doing activities that require clear vision until your vision returns to normal. If you're asked how you heard about VIZZ, please mention The Bid Picture Podcast. Learn more at vizz.com.Support for The Bid Picture Podcast comes from Rula. If you're trying to build a healthier relationship with tech—setting boundaries, breaking burnout patterns, or feeling more present—therapy can help, and Rula makes it easier to find licensed mental health providers and meet by video on a schedule that fits your life. If you're asked how you heard about Rula, please mention The Bid Picture Podcast. Learn more at rula.com.Support the show

The VAR Legal Team talks about AI hallucinations—why they happen, how to reduce their occurrences, and how to limit your risk. Get the brief but important lesson on how these hallucinations intersect with your business.

Hallucinations, guilt, and survival collide in “Phantoms.” Victor Lams, Jeff Haecker, and Lisa Jones debate whether mind-control stories still work, why Teyla is the real hero here, and what Shepard's past reveals when reality breaks down. The post Phantoms (SGA) appeared first on StarQuest Media.

Three trends dominated this year's coverage. ----- We've made it to the end of the year! And what do we have to show for it as a profession? Our most elite law firms signed deals rather than stand up for themselves in the face of illegal Trump bullying efforts. Others quietly tried to erase their history to avoid the administration's ire. But some firms did fight back and achieved consistent success in court, while the dealmakers got heckled and derided by young lawyers. And, as anyone who has ever watched Star Wars knows, deals with authoritarians just get worse all the time. The New York Times even wrote a feature on a certain publication covering this story. We also ran headlong into a constitutional crisis marked by DOJ lawyers lying to courts -- when the DOJ even bothers to field lawyers legally -- senior government officials declaring "war" on federal judges, and judges being arrested. As right-wing threats against federal judges escalated, the Supreme Court responded with disinterest, preferring to fan the flames with nakedly partisan shadow docket rulings to grease the wheels of Trump's assault on the structure of government. And, finally, we look at the year of AI in legal. Hallucinations dominated the conversation -- from law firms and judges alike -- but this was also the year legal tech made huge bets on AI and folks started to realize that the profession can't avoid the technology. The billable hour may finally be on the decline, but does AI risk making lawyers dumber?

Three trends dominated this year's coverage. ----- We've made it to the end of the year! And what do we have to show for it as a profession? Our most elite law firms signed deals rather than stand up for themselves in the face of illegal Trump bullying efforts. Others quietly tried to erase their history to avoid the administration's ire. But some firms did fight back and achieved consistent success in court, while the dealmakers got heckled and derided by young lawyers. And, as anyone who has ever watched Star Wars knows, deals with authoritarians just get worse all the time. The New York Times even wrote a feature on a certain publication covering this story. We also ran headlong into a constitutional crisis marked by DOJ lawyers lying to courts -- when the DOJ even bothers to field lawyers legally -- senior government officials declaring "war" on federal judges, and judges being arrested. As right-wing threats against federal judges escalated, the Supreme Court responded with disinterest, preferring to fan the flames with nakedly partisan shadow docket rulings to grease the wheels of Trump's assault on the structure of government. And, finally, we look at the year of AI in legal. Hallucinations dominated the conversation -- from law firms and judges alike -- but this was also the year legal tech made huge bets on AI and folks started to realize that the profession can't avoid the technology. The billable hour may finally be on the decline, but does AI risk making lawyers dumber? Learn more about your ad choices. Visit megaphone.fm/adchoices

Six years after his first appearance on Founder Views, Luca is back with the real story of how AI forced a full business model and go-to-market shift.Customerly went from a seat-based, product-led support platform for small SaaS teams to an AI-first customer service engine selling into mid-market and enterprise, where volume and ROI are obvious.In this episode we get into:The AI pivot: why they refused to build “old-school chatbots,” and how ChatGPT changed what was possibleQuality metrics that matter: error rate, confidence thresholds, escalation triggers, and why AI CSAT can be higher than humansWhat actually trains a good AI agent: knowledge base structure, what not to upload, and how hallucinations happen in the real worldAutomation outcomes: average ticket closure rates, what drives 80%+ vs 40–50%, and how teams improve over timeEnterprise GTM shift: moving from product-led to sales-led, filtering signups, longer cycles, bigger ACVOutbound reality: why the agency failed, what changed when they built outbound internally, and the tooling stack (Clay, Apollo, Lemlist, Pipedrive)Founder sales lessons: Challenger Sale thinking and why founders still need to own sales earlyThe Arena The Arena is a private Skool community for SaaS founders who are actively building and selling. I share real-time decisions, experiments, and assets as I use them while growing a bootstrapped SaaS.No theory. No polish. Just execution.Learn more at: https://www.skool.com/the-arena/Chapters / Timestamps00:00 – Reunion after 6 years and what changed (COVID + AI era)01:27 – Luca intro: what Customersly does today02:30 – From $100K ARR to near $1M and why pricing changed05:08 – “Chatbots are shit”: how they built AI without the bad UX07:10 – Under 1% error rate and reducing hallucinations09:52 – Grounded AI, intents, and automating beyond FAQs11:09 – Closure rate benchmarks and what “good” looks like16:41 – How to pick an AI support tool that actually works18:20 – Training mistakes: transcripts, clutter, and marketing banners causing hallucinations20:46 – Confidence thresholds and escalation as a feedback loop22:48 – How long it takes to move from 45% to 70–80% automation24:34 – Should AI learn from your inbox? Pros, risks, and why they avoid it29:41 – Implementation timelines: small teams vs enterprise rollouts31:38 – Why AI CSAT can beat humans (speed wins)35:46 – Escalation rules: human request, sentiment, low confidence, missing info37:21 – Going enterprise: ARPU jump and sales-led reality41:02 – Outbound experiment: agency failure and building it internally43:32 – LinkedIn ads + Clay targeting + the masterclass lead magnet49:25 – Challenger Sale and shifting the conversation53:20 – Founder lesson: why you can't outsource what you haven't done58:54 – Outbound stack: Clay, Apollo, Lemlist, Sales Nav, Pipedrive01:05:12 – 2026 vision and wrap

The Geek in Review closes 2025 with Greg Lambert and Marlene Gebauer welcoming back Sarah Glassmeyer and Niki Black for round two of the annual scorecard, equal parts receipts, reality check, and forward look into 2026. The conversation opens with a heartfelt remembrance of Kim Stein, a beloved KM community builder whose generosity showed up in conference dinners, happy hours, and day to day support across vendors and firms. With Kim's spirit in mind, the panel steps into the year-end ritual: name the surprises, own the misses, and offer a few grounded bets for what comes next.Last year's thesis predicted a shift from novelty to utility, yet 2025 felt closer to a rolling hype loop. Glassmeyer frames generative AI as a multi-purpose knife dropped on every desk at once, which left many teams unsure where to start, even when budgets already committed. Black brings the data lens: general-purpose gen AI use surged among lawyers, especially solos and small firms, while law firm adoption rose fast compared with earlier waves such as cloud computing, which crawled for years before pandemic pressure moved the needle. The group also flags a new social dynamic, status-driven tool chasing, plus a quiet trend toward business-tier ChatGPT, Gemini, and Claude as practical options for many matters when price tags for legal-only platforms sit out of reach for smaller shops.Hallucinations stay on the agenda, with the panel resisting both extremes: doom posts and fan club hype. Glassmeyer recounts a founder's quip, “hallucinations are a feature, not a bug,” then pivots to an older lesson from KeyCite and Shepard's training: verification never goes away, and lawyers always owed diligence, even before LLMs. Black adds a cautionary tale from recent sanctions, where a lawyer ran the same research through a stack of tools, creating a telephone effect and a document nobody fully controlled. Lambert notes a bright spot from the past six months: legal research outputs improved as vendors paired vector retrieval with legal hierarchy data, including court relationships and citation treatment, reducing off-target answers even while perfection stays out of reach.From there, the conversation turns to mashups across the market. Clio's acquisition of vLex becomes a headline example, raising questions about platform ecosystems, pricing power, and whether law drifts toward an Apple versus Android split. Black predicts integration work across billing, practice management, and research will matter as much as M&A, with general tech giants looming behind the scenes. Glassmeyer cheers broader access for smaller firms, while still warning about consolidation scars from legal publishing history and the risk of feature decay once startups enter corporate layers. The panel lands on a simple preference: interoperability, standards, and clean APIs beat a future where a handful of owners dictate terms.On governance, Black rejects surveillance fantasies and argues for damage control, strong training, and safe experimentation spaces, since shadow usage already happens on personal devices. Gebauer pushes for clearer value stories, and the guests agree early ROI shows up first in back office workflows, with longer-run upside tied to pricing models, AFAs, and buyer pushback on inflated hours. For staying oriented amid fractured social channels, the crew trades resources: AI Law Librarians, Legal Tech Week, Carolyn Elefant's how-to posts, Moonshots, Nate B. Jones, plus Ed Zitron's newsletter for a wider business lens. The crystal ball segment closes with a shared unease around AI finance, a likely shakeout among thinly funded tools, and a reminder to keep the human network strong as 2026 arrives. 

Ban Blindspot: Gaming's Gaping Gap in the Great Aussie Online Clampdown.  Paddles, Premiums and Publicity: Tesla Takes a Swing at Pickleball.  Blood, Bands and Behaviour: How Whoop Is Blending Wearables with Wellness.  Mickey Meets Machines: Disney Dances with Generative AI.  Wrist Wizards and Wayward Wings: DJI's Drone Takes Orders from Your Watch.  Carbon Strings, Classic Soul: Printing the Future of the Cello.  Hallucinations on the Help Desk: Librarians vs Lying Language Models.  Weighty Wants: When Cable Control Costs a Pretty Penny.  Rolling with the Wind: The Tumbleweed Tech That Travels Further on Less Power. 

We need to talk about the "intern" sitting on your desktop...Come on, you know the one. Sure, they are fast, very eager to please, and can process data at lightning speeds. But they also have a bad habit of hallucinating facts and making things up just to make you happy.Of course, I'm talking about AI.It is fair to say that we are past the initial "wow" phase of generative AI. Now, for us service design professionals, the real question is: How do we actually hire, train, and trust this new digital colleague?That is the focus of this episode of our Inside Service Design series.We sit down for a chat with two brilliant professionals: Jessica Dugan and Judith Buhmann.They share a grounded, hype-free look at how they are integrating AI into their own existing workflows. Not as a replacement for our work, but as a "Junior Associate" who needs some (sometimes a lot) management.To make this real, Jess walks us through the framework she uses for building her own custom AI agents. She explains how to define their "persona," scope their tasks, and curate their knowledge base so they can actually be useful (and safe).And Judith shares a critical perspective on why we can't fully trust AI yet. We explore why we need to treat AI as an "unreliable narrator" especially when working with vulnerable groups.So if you are feeling a bit somewhat by the pressure to "use AI" but aren't sure how to do it responsibly, this conversation has some key insights you don't want to miss.Here's a question: If you had to give your current AI tools a "performance" review, what rating would you give them? A) Employee of the month B) Promising intern (needs supervision) C) Chaos agent (fires random info at me). Let me know, I'm really curious where we are all at!Be well, ~ Marc--- [ 1. GUIDE ] --- 00:00 Welcome to the November Round Up04:00 Jess's journey into service desig09:45 Judith's challenge12:30 Designing for the employee experience and internal systems14:00 The "Pros" of in-house service design15:30 The necessity of patience and deep knowledge for in-house success18:30 Judith topic19:00 Jess topic: Building (and trusting) your own AI agent23:00 Why we cannot fully trust any AI27:00 Scoping the AI agent's role and understanding user need29:00 Designing the "Human" side: Setting personality and tone for your agent33:45 Accessibility: Is it actually hard to build your own agent?35:30 Human-in-the-loop: Regulation and ensuring data accuracy40:00 Why transparency matters more than just "trust" 47:00 Getting organizational buy-in for AI tools54:45 Markers of success: How service blueprints live on after the workshop56:30 Closing thoughts and Question to Ponder --- [ 2. LINKS ] --- https://www.linkedin.com/in/judithbuhmann/https://www.linkedin.com/in/jess-dugan/ --- [ 3. CIRCLE ] --- Join our private community for in-house service design professionals. ⁠https://servicedesignshow.com/circle--- [4. FIND THE SHOW ON] ---Youtube ~ https://go.servicedesignshow.com/inside-service-design-08-youtubeSpotify ~ https://go.servicedesignshow.com/inside-service-design-08-spotifyApple ~ https://go.servicedesignshow.com/inside-service-design-08-appleSnipd ~ https://go.servicedesignshow.com/inside-service-design-08-snipd

Imagine sitting at home and then all of a sudden you hear a men's choir belting out “The Star Spangled Banner.” You check your phone, computer, radio. Nothing's playing. You look outside, no one's there. That's what happened to neurologist Bruce Dobkin after he received a cochlear implant. He set out to learn everything he could about the condition, called musical hallucinosis.In a story from August, Host Ira Flatow talks with Dobkin about his decision to publish his account in a medical journal and why the condition is more common than he realized.Guest: Dr. Bruce Dobkin is a neurologist at UCLA Health.Transcript is available at sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

Watch the episode on Youtube: https://youtu.be/f5gWUVQI0jIMelissa Martin and Matt Kirchner are back to answer your questions, covering everything from university curriculum design, to AI in the classroom, to what employers actually expect when they invest in education.This one moves fast, but it's focused: how do you build programs that truly prepare students for modern work? How do you keep education from falling behind as technology accelerates? Along the way, Matt and Melissa break down what universities need to change, how to raise the bar in the age of generative AI, why ethics can't be an afterthought, and how to help HR teams understand the value of credentials and new pathways.Listen to learn:What university programs should teach (in one course) to better prepare grads for modern manufacturing workHow educators can help students identify when AI is wrong and why we need to level-up our homework in the age of AIThe role of ethics in modern CTEThe five components of a world-class, modern advanced manufacturing high school programHow educators can measure program effectiveness and show ROI to industrial partnersWhat HR teams need to understand about changing credentials, degrees, and how to evaluate technical candidates3 Big Takeaways from this Episode:1. have to teach applied industrial skills, not just theory. Matt argues that a four-year program can cover a lot of “cool stuff in the lab,” but it still needs authentic manufacturing equipment and technology so graduates understand what they will actually see in industry. He frames this as an employer expectation problem: even when budgets are tighter at the four-year level, universities still need to build around the same core technologies students will encounter on day one in manufacturing. 2. AI changes the standard for student work and makes ethics a core requirement. Melissa and Matt point out that AI is designed to produce an answer even when it doesn't know (causing a 'hallucination'), which means students must learn to question outputs and verify accuracy instead of treating AI as a sole source of truth. From there, the conversation moves from classroom integrity into broader ethics: what it means to do original work, and how humans should think and behave as AI becomes more capable and more embedded in decision-making. 3. Industry and HR and educators must understand each other's needs to build a successful partnership. Education and Industry both have a responsibility to do their part in a partnership. HR departments must understand the changing landscape of certifications, 3-year degrees and other credentials that students are gaining to demonstrate their technical competency. Likewise, educators must adopt industry practices of tracking metrics to show employer partners the ROI of their investments in the program.Access tons of links & resources on the episode page: https://techedpodcast.com/askusanything-122025/We want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

In this episode, Stewart Alsop sits down with Joe Wilkinson of Artisan Growth Strategies to talk through how vibe coding is changing who gets to build software, why functional programming and immutability may be better suited for AI-written code, and how tools like LLMs are reshaping learning, work, and curiosity itself. The conversation ranges from Joe's experience living in China and his perspective on Chinese AI labs like DeepSeek, Kimi, Minimax, and GLM, to mesh networks, Raspberry Pi–powered infrastructure, decentralization, and what sovereignty might mean in a world where intelligence is increasingly distributed. They also explore hallucinations, AlphaGo's Move 37, and why creative “wrongness” may be essential for real breakthroughs, along with the tension between centralized power and open access to advanced technology. You can find more about Joe's work at https://artisangrowthstrategies.com and follow him on X at https://x.com/artisangrowth.Check out this GPT we trained on the conversationTimestamps00:00 – Vibe coding as a new learning unlock, China experience, information overload, and AI-powered ingestion systems05:00 – Learning to code late, Exercism, syntax friction, AI as a real-time coding partner10:00 – Functional programming, Elixir, immutability, and why AI struggles with mutable state15:00 – Coding metaphors, “spooky action at a distance,” and making software AI-readable20:00 – Raspberry Pi, personal servers, mesh networks, and peer-to-peer infrastructure25:00 – Curiosity as activation energy, tech literacy gaps, and AI-enabled problem solving30:00 – Knowledge work superpowers, decentralization, and small groups reshaping systems35:00 – Open source vs open weights, Chinese AI labs, data ingestion, and competitive dynamics40:00 – Power, safety, and why broad access to AI beats centralized control45:00 – Hallucinations, AlphaGo's Move 37, creativity, and logical consistency in AI50:00 – Provenance, epistemology, ontologies, and risks of closed-loop science55:00 – Centralization vs decentralization, sovereign countries, and post-global-order shifts01:00:00 – U.S.–China dynamics, war skepticism, pragmatism, and cautious optimism about the futureKey InsightsVibe coding fundamentally lowers the barrier to entry for technical creation by shifting the focus from syntax mastery to intent, structure, and iteration. Instead of learning code the traditional way and hitting constant friction, AI lets people learn by doing, correcting mistakes in real time, and gradually building mental models of how systems work, which changes who gets to participate in software creation.Functional programming and immutability may be better aligned with AI-written code than object-oriented paradigms because they reduce hidden state and unintended side effects. By making data flows explicit and preventing “spooky action at a distance,” immutable systems are easier for both humans and AI to reason about, debug, and extend, especially as code becomes increasingly machine-authored.AI is compressing the entire learning stack, from software to physical reality, enabling people to move fluidly between abstract knowledge and hands-on problem solving. Whether fixing hardware, setting up servers, or understanding networks, the combination of curiosity and AI assistance turns complex systems into navigable terrain rather than expert-only domains.Decentralized infrastructure like mesh networks and personal servers becomes viable when cognitive overhead drops. What once required extreme dedication or specialist knowledge can now be done by small groups, meaning that relatively few motivated individuals can meaningfully change communication, resilience, and local autonomy without waiting for institutions to act.Chinese AI labs are likely underestimated because they operate with different constraints, incentives, and cultural inputs. Their openness to alternative training methods, massive data ingestion, and open-weight strategies creates competitive pressure that limits monopolistic control by Western labs and gives users real leverage through choice.Hallucinations and “mistakes” are not purely failures but potential sources of creative breakthroughs, similar to AlphaGo's Move 37. If AI systems are overly constrained to consensus truth or authority-approved outputs, they risk losing the capacity for novel insight, suggesting that future progress depends on balancing correctness with exploratory freedom.The next phase of decentralization may begin with sovereign countries before sovereign individuals, as AI enables smaller nations to reason from first principles in areas like medicine, regulation, and science. Rather than a collapse into chaos, this points toward a more pluralistic world where power, knowledge, and decision-making are distributed across many competing systems instead of centralized authorities.

GenAI is one of the fastest-growing consumer tools in history. But what have we learned about competitive dynamics in the industry? Economists Andrea Asoni and Matteo Foschi join Jaclyn Phillips and Lexi Michaud to discuss what early economic insights can help us understand about the risks and benefits posed by the growth of AI. Listen to this episode to learn more about how the development of AI impacts market development. With special guests:Andrea Asoni, Vice President, Charles River Associates and Matteo Foschi, Vice President, Charles River Associates Related Links: Contested ground: Early competition and market dynamics in generative AI Hosted by: Jaclyn Phillips, Proskauer Rose and Lexi Michaud, Fried Frank

In this powerful episode of The Alpha Male Coach Podcast, Kevin takes you deep into the core confusion of the human condition: the hallucination of separation. Broadcasting from the Yucatán, Kevin explores why your consciousness feels different depending on your environment, why “I” is the most misunderstood word in the human language, and how the illusion of being a separate ego is the root of all suffering.Kevin opens by distinguishing monism - the experiential recognition that all is one - from the far more common dualistic worldview most humans live in without question. He breaks down how the ego creates a false center of identity, a shadow-self imagined as a commander behind the eyes, and how this hallucination leads to fear, conflict, resistance, and misalignment across every dimension of life.Drawing on wisdom from Alan Watts, spiritual psychology, and his own Alpha philosophy, Kevin reframes humanity's relationship to nature, purpose, money, and each other. You are not an isolated observer placed “into” the world, he argues - you emerged from the world, just like an apple emerges from an apple tree. You are not a stranger in an indifferent universe; you are the universe becoming aware of itself.This episode explores:Why the ego believes “I am in here and the world is out there,” and why this premise is falseHow the belief in separation leads to fear, anxiety, loneliness, and conflictWhat monism reveals about your relationship to nature, your purpose, your emotions, and other humansWhy artificial intelligence is not consciousness, not intelligence, and never will beHow your environment is an extension of your body, not something separate from youHow shifting from dualism to unity transforms your thoughts, emotions, actions, and results through the Model of AlignmentKevin also offers practical embodiment tools to dissolve the hallucination of separation, including active meditation, breath practices, body-based inquiry, and applying the Model of Alignment to reveal whether your identity is operating from ego or from Alpha unity consciousness.Ultimately, this is an episode about awakening - about remembering your true nature as the field of consciousness expressing itself temporarily as a human being. The end of suffering doesn't come from controlling life, resisting emotion, or conquering the world. It comes from recognizing that I and life are not two things. When separation dissolves, fear dissolves with it. What remains is flow, power, presence, and freedom - the Alpha state.Brother, you are not separate from nature, from God, from humanity, or from your purpose. You are the expression of the infinite in human form.

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post titled "Cross-Examine Your AI: The Lawyer's Cure for Hallucinations." This episode is an example of a debate format contrasted to the discussion format in Episode 42.

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post titled "Cross-Examine Your AI: The Lawyer's Cure for Hallucinations." This episode is an example of a discussion format contrasted to the debate format in Episode 43.

Y'all, my guest today, Toni Becker is absolutely incredible.Toni lives in South Africa and is a content creator with twelve years sober. Toni was plagued by disordered eating years before her addictions to meth and alcohol began. Years of partying led to homelessness, meth psychosis and severe illness and kidney failure. In sobriety, Toni was still struggling with disordered eating. Treatment in sobriety finally helped her with that struggle. Later in sobriety, she developed facial dysmorphia induced by social media expectations and filters. Talking about these issues in sobriety was fascinating and I learned so much from Toni!Connect with Toni on ⁠Instagram⁠DM me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Message me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Listen AD FREE & workout with me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Connect with me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email me chasingheroine@gmail.comSee you next week!

Publicly available data can paint a much clearer picture of our lives than most of us realize, and this episode takes a deeper look at how those tiny digital breadcrumbs like photos, records, searches, even the background of a Zoom call can be pieced together to reveal far more than we ever intended. To help break this down, I'm joined by Cynthia Hetherington, Founder and CEO of The Hetherington Group, a longtime leader in open-source intelligence. She also founded Osmosis, the global association and conference for OSINT professionals, and she oversees OSINT Academy, where her team trains investigators, analysts, and practitioners from all experience levels. Cynthia shares how she started her career as a librarian who loved solving information puzzles and eventually became one of the earliest people applying internet research to real investigative work. She talks about the first wave of cybercrime in the 1990s, how she supported law enforcement before the web was even mainstream, and why publicly accessible data today is more powerful and more revealing than ever. We get into how OSINT actually works in practice, from identifying a location based on a sweatshirt logo to examining background objects in video calls. She also explains why the U.S. has fewer privacy protections than many assume, and how property records, social media posts, and online datasets combine to expose surprising amounts of personal information. We also explore the growing role of AI in intelligence work. Cynthia breaks down how tools like ChatGPT can accelerate analysis but also produce hallucinations that investigators must rigorously verify, especially when the stakes are legal or security-related. She walks through common vulnerabilities people overlook, the low-hanging fruit you can remove online, and why your online exposure often comes from the people living in your home. Cynthia closes by offering practical advice to protect your digital footprint and resources for anyone curious about learning OSINT themselves. This is a fascinating look at how much of your life is already visible, and what you can do to safeguard the parts you'd rather keep private. Show Notes: [01:17] Cynthia Hetherington, Founder & CEO of The Hetherington Group is here to discuss OSINT or Open-Source Intelligence. [02:40] Early cyber investigators began turning to her for help long before online research tools became mainstream. [03:39] Founding The Hetherington Group marks her transition from librarian to private investigator. [04:22] Digital vulnerability takes center stage as online data becomes widely accessible and increasingly revealing. [05:22] We get a clear breakdown of what OSINT actually is and what counts as "publicly available information." [06:40] A simple trash bin in a photo becomes a lesson in how quickly locations can be narrowed down. [08:03] Cynthia shares the sweatshirt example to show how a tiny image detail can identify a school and possibly a city. [09:32] Background clues seen during COVID video calls demonstrate how unintentional information leaks became routine. [11:12] A news segment with visible passwords highlights how everyday desk clutter can expose sensitive data. [12:14] She describes old threat-assessment techniques that relied on family photos and subtle personal cues. [13:32] Cynthia analyzes the balance and lighting of a Zoom backdrop, pointing out what investigators look for. [15:12] Virtual and real backgrounds each reveal different signals about a person's environment. [16:02] Reflections on screens become unexpected sources of intelligence as she notices objects outside the camera frame. [16:37] Concerns grow around how easily someone can be profiled using only public information. [17:13] Google emerges as the fastest tool for building a quick, surface-level profile of almost anyone. [18:32] Social media takes priority in search results and becomes a major driver of self-exposed data. [19:40] Cynthia compares AI tools to the early internet, describing how transformative they feel for investigators. [20:58] A poisoning case from the early '90s demonstrates how online expert communities solved problems before search engines existed. [22:40] She recalls using early listservs to reach forensic experts long before modern digital research tools were available. [23:44] Smarter prompts become essential as AI changes how OSINT professionals gather reliable information. [24:55] Cynthia introduces her C.R.A.W.L. method and explains how it mirrors the traditional intelligence lifecycle. [26:12] Hallucinations from AI responses reinforce the need for human review and verification. [27:48] We learn why repeatable processes are crucial for building trustworthy intelligence outputs. [29:05] Elegant-sounding AI answers illustrate the danger of unverified assumptions. [30:40] An outdated email-header technique becomes a reminder of how quickly OSINT methods evolve. [32:12] Managed attribution—hiding your digital identity—is explained along with when it's appropriate to use. [33:58] Cynthia unpacks the reality that the U.S. has no constitutional right to privacy. [35:36] The 1996 case that sparked her digital-vulnerability work becomes a turning point in her career. [37:32] Practical opt-out steps give everyday people a way to remove basic personal data from public sites. [38:31] She discusses how indirect prompting of AI tools can still narrow down someone's likely neighborhood or lifestyle. [39:58] Property and asset records emerge as unavoidable exposure points tied to government databases. [40:52] A high-risk client's situation shows how family members often create digital vulnerabilities without realizing it. [42:44] Threats that surface too late demonstrate why proactive intelligence work is essential. [44:01] Concerns about government surveillance are contrasted with the broader access private investigators actually have. [45:12] Train tracks become an example of how physical infrastructure now doubles as a modern data network. [46:03] She explains how audio signatures and forensic clues could theoretically identify a train's path. [47:58] Asset tracking becomes a global operation as valuable cargo moves between ships, trucks, and rail systems. [49:48] Satellite imagery makes monitoring even remote or underwater locations almost effortless. [51:12] Everyday applications of geospatial analysis include environmental changes and shifts within local communities. [52:19] Surveillance is compared to gravity; it's constant, invisible, and always exerting pressure. [52:44] Cynthia shares practical strategies for controlling your environment and keeping conversations private. [54:01] Resources like OSINT Academy, Information Exposed, and the Osmosis Association offer pathways for learning and strengthening personal privacy. [55:32] The episode closes with encouragement to stay aware of what you share and how easily digital clues can be connected. Thanks for joining us on Easy Prey. Be sure to subscribe to our podcast on iTunes and leave a nice review.  Links and Resources: Podcast Web Page Facebook Page whatismyipaddress.com Easy Prey on Instagram Easy Prey on Twitter Easy Prey on LinkedIn Easy Prey on YouTube Easy Prey on Pinterest Hetherington Group OSMOSIS OSINT Academy Cynthia Hetherington - LinkedIn OSINT: The Authoritative Guide to Due Diligence Business Background Investigations: Tools and Techniques for Solution Driven Due Diligence

Welcome to PGX Ideas #5Here I sit down with some of the most interesting minds in the world — scientists, philosophers, economists, and creators — to think about the forces shaping the future.Each episode is an attempt to understand ONE BIG question. The kind that doesn't have a single answer but reveals how people who think deeply approach life, work, and meaning.This time, I spoke with Baland Jalal  @DrBalandJalal  - Harvard Neuroscientist about: What Are Dreams, and Why Do We Dream?Timestamps:00:00 - Science Behind Dreams11:44 - Why Do We Fly in Dreams?14:54 - Why Do We Dream?21:30 - Why Don't We Remember Our Dreams?25:20 - Why Does Time Work Differently in Our Dreams?29:00 - Connection Between the Physical World and Dreams33:19 - Connection Between Dreams and the Cosmos36:46 - Do Dreams Mean Something?46:50 - Connection b/t Past and Dreams54:54 - Can We Control Our Dreams?59:56 - Can We Dream While We Are Conscious?1:03:07 - Why Can't We Return to the Same Dream?1:07:18 - Technology of Dreaming1:10:16 - Do We Only Use 10% of Our Brain?1:14:40 - Treating Depression Through Dream Technology1:17:00 - Dreams in Psychedelic States1:20:12 - Sleep Paralysis and Its Cultural Meaning1:22:36 - Cultural Roots of Evil1:30:45 - Hallucinations and AI1:33:00 - Are We All Living a Dream?1:42:20 - Cotard Syndrome1:45:15 - Dissociation and Neural Activity1:47:25 - What Is Consciousness?Enjoy.— Prakhar

Hallucinations are the most recognized—and most misunderstood—symptom of schizophrenia. Movies depict them as dramatic, terrifying commands or cinematic visions, but the lived reality is far more complex. In this episode we unravel what hallucinations actually are, why they happen, and how people learn to live with them. This episode is a special feature from our sister show Inside Schizophrenia. Hosted by Rachel Star Withers (who lives with schizophrenia), with Gabe Howard as co-host. (Don't worry, new Inside Mental Health episodes return in 2026.) In this episode, Rachel shares her own experiences, from everyday “simple” hallucinations like sounds or shifting faces, to more intense, emotion-laden complex hallucinations. She challenges the assumption that hallucinations are always violent or dangerous—and breaks down the critical differences between hallucinations and sensory disturbances. Expert guest Dr. Paul Fitzgerald joins the conversation to explain how the brain creates these perceptual misfires, why hallucinations in schizophrenia differ from those caused by grief, sleep deprivation, or drugs, and what current research reveals about how universal these experiences are across different cultures and countries. Listener Takeaways The difference between simple vs. complex hallucinations Why hallucinations in schizophrenia feel different from drug- or grief-based ones Why reducing—not eliminating—hallucinations is often the realistic recovery goal How CBT and coping strategies help reduce fear and regain control Whether you live with schizophrenia, love someone who does, or are simply curious about how the brain works, this episode offers clarity, compassion, and surprising insights you won't forget. Guest, Professor Paul Fitzgerald, completed his medical degree at Monash University and subsequently a Master of Psychological Medicine whilst completing psychiatric training. He then undertook a Clinical and Research Fellowship at the University of Toronto and The Clarke Institute of Psychiatry, Toronto, Ontario, Canada. On returning to Melbourne, he worked as a psychiatrist and completed a PhD in transcranial magnetic stimulation in schizophrenia. Since completing this PhD, he has developed a substantial research program including a team of over 25 psychiatrists, registrars, postdoctoral researchers, research assistants, research nurses, and students. Professor Fitzgerald runs a research program across both MAPrc and Epworth Clinic using brain stimulation and neuroimaging techniques including transcranial magnetic stimulation, functional and structural MRI, EEG, and near infrared spectroscopy.  The primary focus of this program is on the development of new brain stimulation-based treatments for psychiatric disorders. Guest host, Rachel Star Withers, creates videos documenting her schizophrenia, ways to manage, and let others like her know they're not alone and can still live an amazing life. She has written “Lil Broken Star: Understanding Schizophrenia for Kids” and a tool for schizophrenics, “To See in the Dark: Hallucination and Delusion Journal.” Learn more at RachelStarLive.com. Our host, Gabe Howard, is an award-winning writer and speaker who lives with bipolar disorder. He is the author of the popular book, "Mental Illness is an Asshole and other Observations," available from Amazon; signed copies are also available directly from the author. Gabe is also the host of the "Inside Bipolar" podcast with Dr. Nicole Washington. Gabe makes his home in the suburbs of Columbus, Ohio. He lives with his supportive wife, Kendall, and a Miniature Schnauzer dog that he never wanted, but now can't imagine life without. To book Gabe for your next event or learn more about him, please visit gabehoward.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

Eytan Seidman, VP of product at Shopify, joins the podcast to unpack Shopify's Winter '26 Edition and how AI is emerging into the market for developers and merchants. They discuss the new Dev MCP server, showing how tools like Cursor and Claude Desktop can rapidly scaffold Shopify apps, wire up Shopify functions, and ship payment customization and checkout UI extension experiences that lean on Shopify primitives like meta fields and meta objects across online stores and point of sale. Eytan also breaks down how Sidekick connects with apps, why the new analytics API and ShopifyQL open fresh analytics use cases, and more. Links Shopify Winter '26 Edition: https://www.shopify.com/editions/winter2026 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Chapters 01:00 — AI as the Focus of Winter '26 02:00 — MCP Server as the Ideal Dev Workflow 03:00 — Best Clients for MCP (Cursor, Claude Desktop) 04:00 — Hallucinations & Code Validation in MCP 06:00 — Developer Judgment & Platform Primitives 07:00 — Storage Choices: Meta Fields vs External Storage 09:00 — Learning UI Patterns Through MCP 10:00 — Sidekick Overview & Merchant Automation 11:00 — Apps Inside Sidekick: Data & UI Integration 13:00 — Scopes, Data Access & Developer Responsibility 14:00 — AI-Ready Platform & Explosion of New Apps 16:00 — New Developer Demographics Entering Shopify 17:00 — Where Indie Devs Should Focus (POS, Analytics) 18:00 — New Analytics API & Opportunities 19:00 — Full Platform Coverage via MCP Tools 20:00 — Building Complete Apps in Minutes 21:00 — Large Stores, Token Limits & MCP Scaling 22:00 — Reducing Errors with UI & Function Testing 23:00 — Lessons from Building the MCP Server 25:00 — Lowering Barriers for Non-Experts 26:00 — High-Quality Rust Functions via MCP 27:00 — MCP Spec Adoption: Tools Over Resources 28:00 — Future: Speed, Quality & UI Precision 29:00 — Model Evolution, Evals & Reliability 31:00 — Core Shopify Primitives to Build On 33:00 — Docs, Community & Learning Resources

On today's episode, cohosts Yasmin Gagne and Josh Christensen discuss the latest news in business and innovation, including the Warner Bros. Discovery deals, Nvidia's permission to sell AI chips to China, and Trump's attempt to bail out farmers. (00:44) Next, Yaz and Josh speak with writer, filmmaker and Fast Company contributor John Pavlus about AI hallucinations and how Amazon is trying to minimize them. (03:04) And finally, Yaz talks to Matt Baer, CEO of the subscription styling service Stitch Fix, about his turnaround plan to increase revenue and active client growth, and how Stitch Fix partners its stylists with in-house AI tools for a better personalized styling experience. (30:17)   For more of the latest business and innovation news, go to fastcompany.com/newsTo read John's reporting about Amazon's usage of AI that minimizes hallucinations, go to fastcompany.com/91446331/amazon-byron-cook-ai-artificial-intelligence-automated-reasoning-neurosymbolic-hallucination-logic

This week, Kristin and I dive into aphantasia, anendophasia, and why apparently my wife's brain works more like a slideshow than a podcast. I'm learning things about her that I wish I didn't know, and she's learning that most people don't think in GIFs. We also talk about what happens when meditation goes wrong, how brains get rewired after trauma, and why sometimes “turning your brain off” might actually mean “floating into the void.” Then we flip open the med student bible for a crash course in aphasia, before spiraling into phantom limb pain and Charles Bonnet syndrome. Takeaways: Aphasia vs. Dysarthria: The difference between not knowing what to say and just not being able to say it. Meditation Meltdowns: Why Kristin's version of “mindfulness” ends in existential dread. Inner Voice or Image Stream?: The fascinating brain split you didn't know existed. Phantom Senses: From missing limbs to hallucinated kids on porches (yep, that happened). Broken Boca: What happens when the language centers revolt. — To Get Tickets to Wife & Death: You can visit Glaucomflecken.com/live  We want to hear YOUR stories (and medical puns)! Shoot us an email and say hi! knockknockhi@human-content.com Can't get enough of us? Shucks. You can support the show on Patreon for early episode access, exclusive bonus shows, livestream hangouts, and much more! –⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ http://www.patreon.com/glaucomflecken⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Also, be sure to check out the newsletter: https://glaucomflecken.com/glauc-to-me/ If you are interested in buying a book from one of our guests, check them all out here: https://www.amazon.com/shop/dr.glaucomflecken If you want more information on models I use: Anatomy Warehouse provides for the best, crafting custom anatomical products, medical simulation kits and presentation models that create a lasting educational impact.  For more information go to Anatomy Warehouse DOT com. Link: https://anatomywarehouse.com/?aff=14 Plus for 15% off use code: Glaucomflecken15 -- A friendly reminder from the G's and Tarsus: If you want to learn more about Demodex Blepharitis, making an appointment with your eye doctor for an eyelid exam can help you know for sure. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.EyelidCheck.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for more information.  Today's episode is brought to you by Microsoft Dragon Copilot. Dragon Copilot is an AI clinical assistant that streamlines documentation, surfaces critical information, and automates routine tasks — empowering healthcare teams to focus more on patients and less on administrative work. Learn more at ⁠https://glau.cc/Dragon⁠ Produced by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Human Content⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

AI has exploded across the legal industry but for many lawyers, it still feels overwhelming, risky, or simply “not for them.” Today's guest has made it his mission to change that. Joining us is Robert Eder an intellectual property lawyer, legaltech educator, and one of Europe's leading voices on AI prompting for lawyers. Robert designs legal automation solutions, and teaches lawyers around the world how to use AI safely, effectively, and creatively. Robert has trained hundreds of lawyers across Europe and is one of the clearest voices on how to use AI responsibly, safely and with real legal precision.  Here are a few standout takeaways:  Lawyers aren't bad at prompting they're undersold. Their analytical mindset actually gives them an advantage.  Most people still treat AI like Google. Adding structure through XML tags, roles and answer-levelling changes everything.  The first AI skill every lawyer should learn isn't drafting it's controlling output. Structure before substance.  Hallucinations aren't a deal-breaker. Responsible AI frameworks give you quality control, not guesswork.  You don't need 70% of AI tools on the market. With the right prompting, one model + the right workflow beats shiny software every time.  Legal prompting is not the same as general prompting. Law has edge cases, nuance, and risk your prompts must reflect that. Two general points to reflect on:Lawyers don't need to become engineers. They need to become better communicators with machines.If you don't understand prompting, you'll always think AI is unreliable — when in reality, it's only as clear as the instructions you give it. It's practical, hands-on and genuinely career-shifting. AI isn't replacing lawyers. Lawyers who understand AI are replacing the ones who don't.

Gayathri Krishnamurthy, Head of Product Marketing at Level AI, explains how AI is beginning to use data differently from previous versions and how the rate at which it's capabilities are expanding is exponential, but how despite this, the emerging technology is still not without its drawbacks...Hear the full conversation in a first-ever "live" episode of The Action Catalyst.

Dr. Jenessa Seymour is on to teach us more about the brain! What do hallucinations, ear-worms, and phantom limbs have in common? And is "hallucinating" really a good term for what AI does when it makes something up?

This week, Danielle and Kristine learn how to survive a bad psychedelic trip — visions, paranoia, melting faces, and all. Then, Ilana Cohn-Sullivan joins to share her unforgettable ayahuasca experience, complete with continuous vomiting, cheetah cosplay, and the moment things tipped from “transformational” to “terrifying.”

Man Hospitalized 63 Days After ChatGPT Convinced Him He Was a Time LordREAD or SHARE: https://weirddarkness.com/ai-psychosis-lawsuitWeirdDarkness® is a registered trademark. Copyright ©2025, Weird Darkness.#WeirdDarkness, #ChatGPT, #OpenAI, #AIPsychosis, #MentalHealth, #AILawsuit, #TechDangers, #ChatbotAddiction, #AISafety, #TechEthics