Podcasts about assisted

In this episode of The Psychedelic Podcast, Paul F. Austin welcomes Dr. Michael Ryoshin Sapiro, a Zen Buddhist monk, psychologist, and psychedelic psychotherapist whose new book Truth Medicine explores how awakening and clinical science meet through the heart. Find full show notes and links here: https://thethirdwave.co/podcast/episode-332/?ref=278  They discuss how Zen simplicity informs psychedelic work, the nuances between psychedelic-assisted and psychedelic psychotherapy, and how Dr. Sapiro tailors ketamine sessions for trauma recovery in first responders and veterans. Together they unpack the art of surrender, the role of spirituality in therapy, and why genuine healing begins with nervous-system regulation long before medicine is introduced. Dr. Sapiro is also offering a free live video event with The Shift Network, Find Your Truth Behind the Masks You Wear, where he'll guide experiential practices in futuremaking, compassion, and embodied awareness. During this session, he'll also introduce his new seven-week live course, a deeper journey into conscious living, authenticity, and the principles explored in Truth Medicine. Michael Ryoshin Sapiro, PsyD is an ordained Zen Buddhist monk, clinical and first-responder psychologist, psychedelic psychotherapist, author, and meditation teacher. He serves as integrative psychologist at Boise Ketamine Clinic, runs international transformational retreats, and appears in the documentary An Act of Service on ketamine treatment for first responders (featured by The New York Times). His work within the special-operations and first-responder communities centers on trauma recovery, ethical service, and awakened leadership. His book Truth Medicine: Healing and Living Authentically Through Psychedelic Psychotherapy is available now. Highlights: Zen Buddhist ordination and early training How Zen shapes psychedelic psychotherapy Assisted therapy vs. psychedelic psychotherapy Ketamine dosing nuance and "golden hour" Working with first responders and veterans Non-dual states and "I am love" experiences Spiritual ethics in psychedelic care Nervous-system preparation for medicine Community, retreats, and the sacred heart Episode Links: Dr. Sapiro's Website Dr. Sapiro's book, Truth Medicine Dr. Sapiro's free video event: Find Your Truth Behind the Mask You Wear Episode Sponsors: The Microdosing Practitioner Certification at Psychedelic Coaching Institute. The Practitioner Certification Program at Psychedelic Coaching Institute. Golden Rule Mushrooms - Get a lifetime discount of 10% with code THIRDWAVE at checkout These show links may contain affiliate links. Third Wave receives a small percentage of the product price if you purchase through the above affiliate links. Disclaimer: Third Wave occasionally partners with or shares information about other people, companies, and/or providers. While we work hard to only share information about ethical and responsible third parties, we can't and don't control the behavior of, products and services offered by, or the statements made by people, companies, or providers other than Third Wave. Accordingly, we encourage you to research for yourself, and consult a medical, legal, or financial professional before making decisions in those areas. Third Wave isn't responsible for the statements, conduct, services, or products of third parties. If we share a coupon code, we may receive a commission from sales arising from customers who use our coupon code. No one is required to use our coupon codes. This content is for educational, informational, and entertainment purposes only. We do not promote or encourage the illegal use of any controlled substances. Nothing said here is medical or legal advice. Always consult a qualified medical or mental health professional before making decisions related to your health. The views expressed herein belong to the speaker alone, and do not reflect the views of any other person, company, or organization.

AI Assisted Coding: Building Reliable Software with Unreliable AI Tools In this special episode, Lada Kesseler shares her journey from AI skeptic to pioneer in AI-assisted development. She explores the spectrum from careful, test-driven development to quick AI-driven experimentation, revealing practical patterns, anti-patterns, and the critical role of judgment in modern software engineering. From Skeptic to Pioneer: Lada's AI Coding Journey "I got a new skill for free!"   Lada's transformation began when she discovered Anthropic's Claude Projects. Despite being skeptical about AI tools throughout 2023, she found herself learning Angular frontend development with AI—a technology she had no prior experience with. This breakthrough moment revealed something profound: AI could serve as an extension of her existing development skills, enabling her to acquire new capabilities without the traditional learning curve. The journey evolved through WindSurf and Claude Code, each tool expanding her understanding of what's possible when developers collaborate with AI. Understanding Vibecoding vs. AI-Assisted Development "AI assisted coding requires judgment, and it's never been as important to exercise judgment as now."   Lada introduces the concept of "vibecoding" as one extreme on a new dimension in software development—the spectrum from careful, test-driven development to quick, AI-driven experimentation. The key insight isn't that one approach is superior, but that developers must exercise judgment about which approach fits their context. She warns against careless AI coding for production systems: "You just talk to a computer, you say, do this, do that. You don't really care about code... For some systems, that's fine. When the problem arises is when you put the stuff to production and you really care about your customers. Please, please don't do that." This wisdom highlights that with great power comes great responsibility—AI accelerates both good and bad practices. The Answer Injection Anti-Pattern When Working With AI "You're limiting yourself without knowing, you're limiting yourself just by how you formulate your questions. And it's so hard to detect."   One of Lada's most important discoveries is the "answer injection" anti-pattern—when developers unconsciously constrain AI's responses by how they frame their questions. She experienced this firsthand when she asked an AI about implementing a feature using a specific approach, only to realize later that she had prevented the AI from suggesting better alternatives. The solution? Learning to ask questions more openly and reformulating problems to avoid self-imposed limitations. As she puts it, "Learn to ask the right way. This is one of the powers this year that's been kind of super cool." This skill of question formulation has become as critical as any technical capability.   Answer injection is when we—sometimes, unknowingly—ask a leading question that also injects a possible answer. It's an anti-pattern because LLM's have access to far more information than we do. Lada's advice: "just ask for anything you need", the LLM might have a possible answer for you. Never Trust a Single LLM: Multi-Agent Collaboration "Never trust the output of a single LLM. When you ask it to develop a feature, and then you ask the same thing to look at that feature, understand the code, find the issues with it—it suddenly finds improvements."   Lada shares her experiments with swarm programming—using multiple AI instances that collaborate and cross-check each other's work. She created specialized agents (architect, developer, tester) and even built systems using AppleScript and Tmux to make different AI instances communicate with each other. This approach revealed a powerful pattern: AI reviewing AI often catches issues that a single instance would miss. The practical takeaway is simple but profound—always have one AI instance review another's work, treating AI output with the same healthy skepticism you'd apply to any code review. Code Quality Matters MORE with AI "This thing is a monkey, and if you put it in a good codebase, like any developer, it's gonna replicate what it sees. So it behaves much better in the better codebase, so refactor!"   Lada emphasizes that code quality becomes even more critical when working with AI. Her systems "work silently" and "don't make a lot of noise, because they don't break"—a result of maintaining high standards even when AI makes rapid development tempting. She uses a memorable metaphor: AI is like a monkey that replicates what it sees. Put it in a clean, well-structured codebase, and it produces clean code. Put it in a mess, and it amplifies that mess. This insight transforms refactoring from a nice-to-have into a strategic necessity—good architecture and clean code directly improve AI's ability to contribute effectively. Managing Complexity: The Open Question "If I just let it do things, it'll just run itself to the wall at crazy speeds, because it's really good at running. So I have to be there managing complexity for it."   One of the most honest insights Lada shares is the current limitation of AI: complexity management. While AI excels at implementing features quickly, it struggles to manage the growing complexity of systems over time. Lada finds herself acting as the complexity manager, making architectural decisions and keeping the system maintainable while AI handles implementation details. She poses a critical question for the future: "Can it manage complexity? Can we teach it to manage complexity? I don't know the answer to that." This honest assessment reminds us that fundamental software engineering skills—architecture, refactoring, testing—remain as vital as ever. Context is Everything: Highway vs. Parking Lot "You need to be attuned to the environment. You can go faster or slow, and sometimes going slow is bad, because if you're on a highway, you're gonna get hurt."   Lada introduces a powerful metaphor for choosing development speed: highway versus parking lot. When learning or experimenting with non-critical systems, you can go fast, don't worry about perfection, and leverage AI's speed fully. But when building production systems where reliability matters, different rules apply. The key is matching your development approach to the risk level and context. She emphasizes safety nets: "In one project, we used AI, and we didn't pay attention to the code, as it wasn't important, because at any point, we could actually step back and refactor. We were not unsafe." This perspective helps developers make better judgment calls about when to accelerate and when to slow down. The Era of Discovery: We've Only Just Begun "We haven't even touched the possibilities of what is there out there right now. We're in the era of gentleman scientists—newbies can make big discoveries right now, because nobody knows what AI really is capable of."   Perhaps most exciting is Lada's perspective on where we stand in the AI-assisted development journey: we're at the very beginning. Even the creators of these tools are figuring things out as they go. This creates unprecedented opportunities for practitioners at all levels to experiment, discover patterns, and share learnings with the community. Lada has documented her discoveries in an interactive patterns and anti-patterns website, a Calgary Software Crafters presentation, and her Substack blog—contributing to the collective knowledge base that's being built in real-time. Resources For Further Study Video of Lada's talk: https://www.youtube.com/watch?v=_LSK2bVf0Lc&t=8654s Lada's Patterns and Anti-patterns website: https://lexler.github.io/augmented-coding-patterns/ Lada's Substack https://lexler.substack.com/ AI Assisted Coding episode with Dawid Dahl AI Assisted Coding episode with Llewellyn Falco Claude Flow - orchestration platform   About Lada Kesseler   Lada Kesseler is a passionate software developer specializing in the design of scalable, robust software systems. With a focus on best development practices, she builds applications that are easy to maintain, adapt, and support. Lada combines technical expertise with a keen eye for clean architecture and sustainable code, driving innovation in modern software engineering.   Currently exploring how these values translate to AI-assisted development and figuring out what it takes to build reliable software with unreliable tools.   You can link with Lada Kesseler on LinkedIn.

AI Assisted Coding: Treating AI Like a Junior Engineer - Onboarding Practices for AI Collaboration In this special episode, Sergey Sergyenko, CEO of Cybergizer, shares his practical framework for AI-assisted development built on transactional models, Git workflows, and architectural conventions. He explains why treating AI like a junior engineer, keeping commits atomic, and maintaining rollback strategies creates production-ready code rather than just prototypes. Vibecoding: An Automation Design Instrument "I would define Vibecoding as an automation design instrument. It's not a tool that can deliver end-to-end solution, but it's like a perfect set of helping hands for a person who knows what they need to do."   Sergey positions vibecoding clearly: it's not magic, it's an automation design tool. The person using it must know what they need to accomplish—AI provides the helping hands to execute that vision faster. This framing sets expectations appropriately: AI speeds up development significantly, but it's not a silver bullet that works without guidance. The more you practice vibecoding, the better you understand its boundaries. Sergey's definition places vibecoding in the evolution of development tools: from scaffolding to co-pilots to agentic coding to vibecoding. Each step increases automation, but the human architect remains essential for providing direction, context, and validation. Pair Programming with the Machine "If you treat AI as a junior engineer, it's very easy to adopt it. Ah, okay, maybe we just use the old traditions, how we onboard juniors to the team, and let AI follow this step."   One of Sergey's most practical insights is treating AI like a junior engineer joining your team. This mental model immediately clarifies roles and expectations. You wouldn't let a junior architect your system or write all your tests—so why let AI? Instead, apply existing onboarding practices: pair programming, code reviews, test-driven development, architectural guidance. This approach leverages Extreme Programming practices that have worked for decades. The junior engineer analogy helps teams understand that AI needs mentorship, clear requirements, and frequent validation. Just as you'd provide a junior with frameworks and conventions to follow, you constrain AI with established architectural patterns and framework conventions like Ruby on Rails. The Transactional Model: Atomic Commits and Rollback "When you're working with AI, the more atomic commits it delivers, more easy for you to kind of guide and navigate it through the process of development."   Sergey's transactional approach transforms how developers work with AI. Instead of iterating endlessly when something goes wrong, commit frequently with atomic changes, then rollback and restart if validation fails. Each commit should be small, independent, and complete—like a feature flag you can toggle. The commit message includes the prompt sequence used to generate the code and rollback instructions.  This approach makes the Git repository the context manager, not just the AI's memory. When you need to guide AI, you can reference specific commits and their context. This mirrors trunk-based development practices where teams commit directly to master with small, verified changes. The cost of rollback stays minimal because changes are atomic, making this strategy far more efficient than trying to fix broken implementations through iteration. Context Management: The Weak Point and the Solution "Managing context and keeping context is one of the weak points of today's coding agents, therefore we need to be very mindful in how we manage that context for the agent."   Context management challenges current AI coding tools—they forget, lose thread, or misinterpret requirements over long sessions. Sergey's solution is embedding context within the commit history itself. Each commit links back to the specific reasoning behind that code: why it was accepted, what iterations it took, and how to undo it if needed. This creates a persistent context trail that survives beyond individual AI sessions. When starting new features, developers can reference previous commits and their context to guide the AI. The transactional model doesn't just provide rollback capability—it creates institutional memory that makes AI progressively more effective as the codebase grows. TDD 2.0: Humans Write Tests, AI Writes Code "I would never allow AI to write the test. I would do it by myself. Still, it can write the code."   Sergey is adamant about roles: humans write tests, AI writes implementation code. This inverts traditional TDD slightly—instead of developers writing tests then code, they write tests and AI writes the code to pass them. Tests become executable requirements and prompts. This provides essential guardrails: AI can iterate on implementation until tests pass, but it can't redefine what "passing" means. The tests represent domain knowledge, business requirements, and validation criteria that only humans should control. Sergey envisions multi-agent systems where one agent writes code while another validates with tests, but critically, humans author the original test suite. This TDD 2.0 framework (a talk Sergey gave at the Global Agile Summit) creates a verification mechanism that prevents the biggest anti-pattern: coding without proper validation. The Two Cardinal Rules: Architecture and Verification "I would never allow AI to invent architecture. Writing AI agentic coding, Vibecoding, whatever coding—without proper verification and properly setting expectations of what you want to get as a result—that's the main mistake."   Sergey identifies two non-negotiables. First, never let AI invent architecture. Use framework conventions (Rails, etc.) to constrain AI's choices. Leverage existing code generators and scaffolding. Provide explicit architectural guidelines in planning steps. Store iteration-specific instructions where AI can reference them. The framework becomes the guardrails that prevent AI from making structural decisions it's not equipped to make. Second, always verify AI output. Even if you don't want to look at code, you must validate that it meets requirements. This might be through tests, manual review, or automated checks—but skipping verification is the fundamental mistake. These two rules—human-defined architecture and mandatory verification—separate successful AI-assisted development from technical debt generation. Prototype vs. Production: Two Different Workflows "When you pair as an architect or a really senior engineer who can implement it by himself, but just wants to save time, you do the pair programming with AI, and the AI kind of ships a draft, and rapid prototype."   Sergey distinguishes clearly between prototype and production development. For MVPs and rapid prototypes, a senior architect pairs with AI to create drafts quickly—this is where speed matters most. For production code, teams add more iterative testing and polishing after AI generates initial implementation. The key is being explicit about which mode you're in. The biggest anti-pattern is treating prototype code as production-ready without the necessary validation and hardening steps. When building production systems, Sergey applies the full transactional model: atomic commits, comprehensive tests, architectural constraints, and rollback strategies. For prototypes, speed takes priority, but the architectural knowledge still comes from humans, not AI. The Future: AI Literacy as Mandatory "Being a software engineer and trying to get a new job, it's gonna be a mandatory requirement for you to understand how to use AI for coding. So it's not enough to just be a good engineer."   Sergey sees AI-assisted coding literacy becoming as fundamental as Git proficiency. Future engineering jobs will require demonstrating effective AI collaboration, not just traditional coding skills. We're reaching good performance levels with AI models—now the challenge is learning to use them efficiently. This means frameworks and standardized patterns for AI-assisted development will emerge and consolidate. Approaches like AAID, SpecKit, and others represent early attempts to create these patterns. Sergey expects architectural patterns for AI-assisted development to standardize, similar to how design patterns emerged in object-oriented programming. The human remains the bottleneck—for domain knowledge, business requirements, and architectural guidance—but the implementation mechanics shift heavily toward AI collaboration. Resources for Practitioners "We are reaching a good performance level of AI models, and now we need to guide it to make it impactful. It's a great tool, now we need to understand how to make it impactful."   Sergey recommends Obie Fernandez's work on "Patterns of Application Development Using AI," particularly valuable for Ruby and Rails developers but applicable broadly. He references Andrey Karpathy's original vibecoding post and emphasizes Extreme Programming practices as foundational. The tools he uses—Cursor and Claude Code—support custom planning steps and context management. But more important than tools is the mindset: we have powerful AI capabilities now, and the focus must shift to efficient usage patterns. This means experimenting with workflows, documenting what works, and sharing patterns with the community. Sergey himself shares case studies on LinkedIn and travels extensively speaking about these approaches, contributing to the collective learning happening in real-time.   About Sergey Sergyenko   Sergey is the CEO of Cybergizer, a dynamic software development agency with offices in Vilnius, Lithuania. Specializing in MVPs with zero cash requirements, Cybergizer offers top-tier CTO services and startup teams. Their tech stack includes Ruby, Rails, Elixir, and ReactJS.   Sergey was also a featured speaker at the Global Agile Summit, and you can find his talk available in your membership area. If you are not a member don't worry, you can get the 1-month trial and watch the whole conference. You can cancel at any time.   You can link with Sergey Sergyenko on LinkedIn.

Guest Dr. Ewan Goligher,  an Associate Professor of Medicine and Physiology at the University of Toronto and a critical care physician at the University Health Network, joins host Dr. Mike Chupp and co-host Dr. Brick Lantz for a candid conversation about the rapid rise of assisted death and the ethical crossroads facing modern medicine. Drawing from years at the bedside, leading research, and insights from his book How Shall We Then Die?, Dr. Goligher unpacks the cultural ideas reshaping our understanding of autonomy, suffering, and compassion. They explore what often lies beneath requests for assisted death, how euphemisms cloud moral clarity, and what truly distinguishes faithful end-of-life care from physician-caused death. It's a conversation every Christian healthcare professional needs to hear.

#245Our WhatsApp  groupProperty Engine discounts (Code: EXPAT)Starter: 30 day trialPro: 30 day trial/3 mths 1/2 price, Ultimate: 1/2 price 3 monthsGoalsettingLeave a review37 Question Due Diligence Checklist / Auction GuideOur Sponsors: Finnigan McNeill Property GroupThe average UK house price is £272,000 as this episode is released.If you're an overseas investor this means your Stamp Duty would be a staggering £22,640. But what if you could legitimately avoid this charge by selling a property you don't legally own. Welcome to the world of Assisted Sales.Paul Stapleton is an expert in this area, so I asked him to share his knowledge with the rest of us. During the episode, we discuss:Advantages of Assisted Sales Over Traditional FlipsReverse engineering deals to maximize valuePreference for homeowner-occupier end usersHigher valuations on residential mortgages versus buy-to-letNegotiation tacticsTraditional assisted sale model Paul's lower-risk assisted sale approach Risk and Mitigation Tactics in Assisted SalesCase Study: Real-Life Assisted Sale DealWorking with independent agents and direct-to-vendor dealsLetting agents as key sources for off-market dealsUsing online tools such as Rightmove and Property EngineFinding Independent Agents RemotelyManaging Vendor RelationshipsSold comparables for accurate GDV Feasibility of Assisted Sales for Remote InvestorsTechnology and contractor solutions for remote management (Viewber and local agents)Outsourcing property inspections, refurbishments, and managementCollaborations, Commission Sharing, and Deal StructuresVendor Negotiations and ObjectionsCommon seller objections: uncertainty about sales, valuations, profit distributionDealing with agent “gatekeepers” and selling assisted sales conceptsFlexible deal structuringLegal MechanismsExplanation of second charge and power of attorney (and why Paul avoids)KeywordsUK property podcast, UK property investment podcast, UK expat property podcast, investing in UK property podcast, UK property investing tips podcast, property market in the UK, UK property investing for expats, overseas property investor podcast, creative property strategies UK, UK assisted sale property, landlord podcasts UK, UK property sourcing podcast, UK property flip strategy, UK property stamp duty tips, how to avoid stamp duty as an overseas investor UK, assisted sales strategy UK property, UK property market for expats, remote property investing UK tips, UK property professionalization podcast episode, buying property in the UK from abroad podcast, UK landlord regulation podcast, finding off-market property deals UK, renovating UK property for profit podcast, best UK cities for property investment podcast, Expat Property Story podcast, Paul Stapleton UK property, FMP Property Engine review, Property and Entrepreneur Summit UK, learn UK property investing, UK property investment education podcast, UK property deal sourcing tips, UK landlord expert advice podcast, expat tips for UK property investment

BONUS: Augmented AI Development - Software Engineering First, AI Second In this special episode, Dawid Dahl introduces Augmented AI Development (AAID)—a disciplined approach where professional developers augment their capabilities with AI while maintaining full architectural control. He explains why starting with software engineering fundamentals and adding AI where appropriate is the opposite of most frameworks, and why this approach produces production-grade software rather than technical debt. The AAID Philosophy: Don't Abandon Your Brain "Two of the fundamental developer principles for AAID are: first, don't abandon your brain. And the second is incremental steps."   Dawid's Augmented AI Development framework stands in stark contrast to "vibecoding"—which he defines strictly as not caring about code at all, only results on screen. AAID is explicitly designed for professional developers who maintain full understanding and control of their systems. The framework is positioned on the furthest end of the spectrum from vibe coding, requiring developers to know their craft deeply. The two core principles—don't abandon your brain, work incrementally—reflect a philosophy that AI is a powerful collaborator, not a replacement for thinking. This approach recognizes that while 96% of Dawid's code is now written by AI, he remains the architect, constantly steering and verifying every step. In this segment we refer to Marcus Hammarberg's work and his book The Bungsu Story. Software Engineering First, AI Second: A Hill to Die On "You should start with software engineering wisdom, and then only add AI where it's actually appropriate. I think this is super, super important, and the entire foundation of this framework. This is a hill I will personally die on."   What makes AAID fundamentally different from other AI-assisted development frameworks is its starting point. Most frameworks start with AI capabilities and try to add structure and best practices afterward. Dawid argues this is completely backwards. AAID begins with 50-60 years of proven software engineering wisdom—test-driven development, behavior-driven development, continuous delivery—and only then adds AI where it enhances the process. This isn't a minor philosophical difference; it's the foundation of producing maintainable, production-grade software. Dawid admits he's sometimes "manipulating developers to start using good, normal software engineering practices, but in this shiny AI box that feels very exciting and new." If the AI wrapper helps developers finally adopt TDD and BDD, he's fine with that. Why TDD is Non-Negotiable with AI "Every time I prompt an AI and it writes code for me, there is often at least one or two or three mistakes that will cause catastrophic mistakes down the line and make the software impossible to change."   Test-driven development isn't just a nice-to-have in AAID—it's essential. Dawid has observed that AI consistently makes 2-3 mistakes per prompt that could have catastrophic consequences later. Without TDD's red-green-refactor cycle, these errors accumulate, making code increasingly difficult to change. TDD answers the question "Is my code technically correct?" while acceptance tests answer "Is the system releasable?" Both are needed for production-grade software. The refactor step is where 50-60 years of software engineering wisdom gets applied to make code maintainable. This matters because AAID isn't vibe coding—developers care deeply about code quality, not just visible results. Good software, as Dave Farley says, is software that's easy to change. Without TDD, AI-generated code becomes a maintenance nightmare. The Problem with "Prompt and Pray" Autonomous Agents "When I hear 'our AI can now code for over 30 hours straight without stopping,' I get very afraid. You fall asleep, and the next morning, the code is done. Maybe the tests are green. But what has it done in there? Imagine everything it does for 30 hours. This system will not work."   Dawid sees two diverging paths for AI-assisted development's future. The first—autonomous agents working for hours or days without supervision—terrifies him. The marketing pitch sounds appealing: prompt the AI, go to sleep, wake up to completed features. But the reality is technical debt accumulation at scale. Imagine all the decisions, all the architectural choices, all the mistakes an AI makes over 30 hours of autonomous work. Dawid advocates for the stark contrast: working in extremely small increments with constant human steering, always aligned to specifications. His vision of the future isn't AI working alone—it's voice-controlled confirmations where he says "Yes, yes, no, yes" as AI proposes each tiny change. This aligns with DORA metrics showing that high-performing teams work in small batches with fast feedback loops. Prerequisites: Product Discovery Must Come First "Without Dave Farley, this framework would be totally different. I think he does everything right, basically. With this framework, I want to stand on the shoulders of giants and work on top of what has already been done."   AAID explicitly requires product discovery and specification phases before AI-assisted coding begins. This is based on Dave Farley's product journey model, which shows how products move from idea to production. AAID starts at the "executable specifications" stage—it requires input specifications from prior discovery work. This separates specification creation (which Dawid is addressing in a separate "Dream Encoder" framework) from code execution. The prerequisite isn't arbitrary; it acknowledges that AI-assisted implementation works best when the problem is well-defined. This "standing on shoulders of giants" approach means AAID doesn't try to reinvent software engineering—it leverages decades of proven practices from TDD pioneers, BDD creators, and continuous delivery experts. What's Wrong with Other AI Frameworks "When the AI decides to check the box [in task lists], that means this is the definition of done. But how is the AI taking that decision? It's totally ad hoc. It's like going back to the 1980s: 'I wrote the code, I'm done.' But what does that mean? Nobody has any idea."   Dawid is critical of current AI frameworks like SpecKit, pointing out fundamental flaws. They start with AI first and try to add structure later (backwards approach). They use task lists with checkboxes where AI decides when something is "done"—but without clear criteria, this becomes ad hoc decision-making reminiscent of 1980s development practices. These frameworks "vibecode the specs," not realizing there's a structured taxonomy to specifications that BDD already solved. Most concerning, some have removed testing as a "feature," treating it as optional. Dawid sees these frameworks as over-engineered, process-centric rather than developer-centric, often created by people who may not develop software themselves. AAID, in contrast, is built by a practicing developer solving real problems daily. Getting Started: Learn Fundamentals First "The first thing developers should do is learn the fundamentals. They should skip AI altogether and learn about BDD and TDD, just best practices. But when you know that, then you can look into a framework, maybe like mine."   Dawid's advice for developers interested in AI-assisted coding might seem counterintuitive: start by learning fundamentals without AI. Master behavior-driven development, test-driven development, and software engineering best practices first. Only after understanding these foundations should developers explore frameworks like AAID. This isn't gatekeeping—it's recognizing that AI amplifies whatever approach developers bring. If they start with poor practices, AI will help them build unmaintainable systems faster. But if they start with solid fundamentals, AI becomes a powerful multiplier that lets them work at unprecedented speed while maintaining quality. AAID offers both a dense technical article on dev.to and a gentler game-like onboarding in the GitHub repo, meeting developers wherever they are in their journey.   About Dawid Dahl   Dawid is the creator of Augmented AI Development (AAID), a disciplined approach where developers augment their capabilities by integrating with AI, while maintaining full architectural control. Dawid is a software engineer at Umain, a product development agency.   You can link with Dawid Dahl on LinkedIn and find the AAID framework on GitHub.

Lovisa var först ut i Sverige med att ta emot sitt barn vid sin kejsarfödsel, den 9 september 2025. Det kallas MAC och står för - Mother Assisted Cesarean, vilket innebär att modern aktivt deltar genom att ta emot bebis vid lyft ut ur livmodern.Lovisa som väntade sitt tredje barn, och själv jobbar som barnmorska låter oss hänga med på en superspännande bebisresa! Efter två tidigare tuffa födslar som båda slutat i "urakuta" (vi kallar dem hellre omedelbara) kejsarsnitt, ville hon ha revansch och såg en möjlighet med MAC.Vi tar det från början och får höra om de första två födslarna, sedan är frågorna många angående MAC:Varför? Din/er upplevelse? Fördelar? Hur gick det till? Din partners inställning? Största utmaningen? Personalens bemötande, Förberedelser? ..... mm mm.Frågan är också, kommer fler födande vilja ha MAC nu när Lovisa satt "trenden", och kommer det implementeras på flera svenska sjukhus!? Vi hoppas att många hakar på, för det är stort och fantastiskt när vården lyssnar och gör sitt bästa för att tillmötesgå kvinnors önskningar! På så sätt ökar vi chansen för positiva upplevelser.Inom kort spelar vi in ett avsnitt där Lovisa och Carina svarar på frågor om MAC, så skynda dig att ställa frågor på vårt Instagram @babyzpodcastAvsnittet spelas in i samarbete med FRIDA - FRIDA som bland annat säljer suveräna ärrplåster i silikon för kejsarsnitt, rekommenderade av gynekologer, hudläkare och plastikkirurger! Hosted on Acast. See acast.com/privacy for more information.

AI Assisted Coding: Swimming in AI - Managing Tech Debt in the Age of AI-Assisted Coding In this special episode, Lou Franco, veteran software engineer and author of "Swimming in Tech Debt," shares his practical approach to AI-assisted coding that produces the same amount of tech debt as traditional development—by reading every line of code. He explains the critical difference between vibecoding and AI-assisted coding, why commit-by-commit thinking matters, and how to reinvest productivity gains into code quality. Vibecoding vs. AI-Assisted Coding: Reading Code Matters "I read all the code that it outputs, so I need smaller steps of changes."   Lou draws a clear distinction between vibecoding and his approach to AI-assisted coding. Vibecoding, in his definition, means not reading the code at all—just prompting, checking outputs, and prompting again. His method is fundamentally different: he reads every line of generated code before committing it. This isn't just about catching bugs; it's about maintaining architectural control and accountability. As Lou emphasizes, "A computer can't be held accountable, so a computer can never make decisions. A human always has to make decisions." This philosophy shapes his entire workflow—AI generates code quickly, but humans make the final call on what enters the repository. The distinction matters because it determines whether you're managing tech debt proactively or discovering it later when changes become difficult. The Moment of Shift: Staying in the Zone "It kept me in the zone. It saved so much time! Never having to look up what a function's arguments were... it just saved so much time."   Lou's AI coding journey began in late 2022 with GitHub Copilot's free trial. He bought a subscription immediately after the trial ended because of one transformative benefit: staying in the flow state. The autocomplete functionality eliminated constant context switching to documentation, Stack Overflow searches, and function signature lookups. This wasn't about replacing thinking—it was about removing friction from implementation. Lou could maintain focus on the problem he was solving rather than getting derailed by syntax details. This experience shaped his understanding that AI's value lies in removing obstacles to productivity, not in replacing the developer's judgment about architecture and design. Thinking in Commits: The Right Size for AI Work "I think of prompts commit-by-commit. That's the size of the work I'm trying to do in a prompt."   Lou's workflow centers on a simple principle: size your prompts to match what should be a single commit. This constraint provides multiple benefits. First, it keeps changes small enough to review thoroughly—if a commit is too big to review properly, the prompt was too ambitious. Second, it creates a clear commit history that tells a story about how the code evolved. Third, it enables easy rollback if something goes wrong. This commit-sized thinking mirrors good development practices that existed long before AI—small, focused changes that each accomplish one clear purpose. Lou uses inline prompting in Cursor (Command-K) for these localized changes because it keeps context tight: "Right here, don't go look at the rest of my files... Everything you need is right here. The context is right here... And it's fast." The Tech Debt Question: Same Code, Same Debt "Based on the way I've defined how I did it, it's exactly the same amount of tech debt that I would have done on my own... I'm faster and can make more code, but I invest some of that savings back into cleaning things up."   As the author of "Swimming in Tech Debt," Lou brings unique perspective to whether AI coding creates more technical debt. His answer: not if you're reading and reviewing everything. When you maintain the same quality standards—code review, architectural oversight, refactoring—you generate the same amount of debt as manual coding. The difference is speed. Lou gets productivity gains from AI, and he consciously reinvests a portion of those gains back into code quality through refactoring. This creates a virtuous cycle: faster development enables more time for cleanup, which maintains a codebase that's easier for both humans and AI to work with. The key insight is that tech debt isn't caused by AI—it's caused by skipping quality practices regardless of how code is generated. When Vibecoding Creates Debt: AI Resistance as a Symptom "When you start asking the AI to do things, and it can't do them, or it undoes other things while it's doing them... you're experiencing the tech debt a different way. You're trying to make changes that are on your roadmap, and you're getting resistance from making those changes."   Lou identifies a fascinating pattern: tech debt from vibecoding (without code review) manifests as "AI resistance"—difficulty getting AI to make the changes you want. Instead of compile errors or brittle tests signaling problems, you experience AI struggling to understand your codebase, undoing changes while making new ones, or producing code with repetition and tight coupling. These are classic tech debt symptoms, just detected differently. The debt accumulates through architecture violations, lack of separation of concerns, and code that's hard to modify. Lou's point is profound: whether you notice debt through test failures or through AI confusion, the underlying problem is the same—code that's difficult to change. The solution remains consistent: maintain quality practices including code review, even when AI makes generation fast. Can AI Fix Tech Debt? Yes, With Guidance "You should have some acceptance criteria on the code... guide the LLM as to the level of code quality you want."   Lou is optimistic but realistic about AI's ability to address existing tech debt. AI can definitely help with refactoring and adding tests—but only with human guidance on quality standards. You must specify what "good code" looks like: acceptance criteria, architectural patterns, quality thresholds. Sometimes copy/paste is faster than having AI regenerate code. Very convoluted codebases challenge both humans and AI, so some remediation should happen before bringing AI into the picture. The key is recognizing that AI amplifies your approach—if you have strong quality standards and communicate them clearly, AI accelerates improvement. If you lack quality standards, AI will generate code just as problematic as what already exists. Reinvesting Productivity Gains in Quality "I'm getting so much productivity out of it, that investing a little bit of that productivity back into refactoring is extremely good for another kind of productivity."   Lou describes a critical strategy: don't consume all productivity gains as increased feature velocity. Reinvest some acceleration back into code quality through refactoring. This mirrors the refactor step in test-driven development—after getting code working, clean it up before moving on. AI makes this more attractive because the productivity gains are substantial. If AI makes you 30% faster at implementation, using 10% of that gain on refactoring still leaves you 20% ahead while maintaining quality. Lou explicitly budgets this reinvestment, treating quality maintenance as a first-class activity rather than something that happens "when there's time." This discipline prevents the debt accumulation that makes future work progressively harder. The 100x Code Concern: Accountability Remains Human "Directionally, I think you're probably right... this thing is moving fast, we don't know. But I'm gonna always want to read it and approve it."   When discussing concerns about AI generating 100x more code (and potentially 100x more tech debt), Lou acknowledges the risk while maintaining his position: he'll always read and approve code before it enters the repository. This isn't about slowing down unnecessarily—it's about maintaining accountability. Humans must make the decisions because only humans can be held accountable for those decisions. Lou sees potential for AI to improve by training on repository evolution rather than just end-state code, learning from commit history how codebases develop. But regardless of AI improvements, the human review step remains essential. The goal isn't to eliminate human involvement; it's to shift human focus from typing to thinking, reviewing, and making architectural decisions. Practical Workflow: Inline Prompting and Small Changes "Right here, don't go look at the rest of my files... Everything you need is right here. The context is right here... And it's fast."   Lou's preferred tool is Cursor with inline prompting (Command-K), which allows him to work on specific code sections with tight context. This approach is fast because it limits what AI considers, reducing both latency and irrelevant changes. The workflow resembles pair programming: Lou knows what he wants, points AI at the specific location, AI generates the implementation, and Lou reviews before accepting. He also uses Claude Code for full codebase awareness when needed, but the inline approach dominates his daily work. The key principle is matching tool choice to context needs—use inline prompting for localized changes, full codebase tools when you need broader understanding. This thoughtful tool selection keeps development efficient while maintaining control. Resources and Community Lou recommends Steve Yegge's upcoming book on vibecoding. His website, LouFranco.com, provides additional resources.    About Lou Franco   Lou Franco is a veteran software engineer and author of Swimming in Tech Debt. With decades of experience at startups, as well as Trello, and Atlassian, he's seen both sides of debt—as coder and leader. Today, he advises teams on engineering practices, helping them turn messy codebases into momentum.   You can link with Lou Franco on LinkedIn and visit his website at LouFranco.com.

Click here to send me a quick message :) So much of life these days seems to be polarized. As if the world is black and white, right and wrong. And this is no different in the birth world.As social media reach has taken hold, I've been watching the rise of polarity especially in the "free birth" community. Honestly, I had friends freebirthing before Instagram existed, but I also trained in homebirth midwifery for 5 years.So my frame has always been pretty nuanced. I've witnessed empowered hands-off births at home, more hands-on home birth midwifery styles, birth center births with nurse midwives, empowered hospital births and even the cascade of interventions happen in hospitals. Over the years of my midwifery training and birth work (this was 10-15 years ago), I became curious about more hands-off styles in home settings. My favorite births I witnessed were the ones where the midwives left (I was a doula) and/or sat in the corner knitting or reading for hours. And this is exactly the kind of story Leah shares in this week's episode. Except even more surprising in some ways. Her birth was truly self-directed, and the midwives seemed to be holding the container of safety, offering options and reminders and cervical checks when she asked for them, but always deferring back to her direction.There is so much in this story that I hope plants seeds of possibility of nuance in the spectrum of what's possible in birth.And she also shares about the practice of postpartum yoni steaming, and how that was a key to her personal pelvic floor healing after her severe tear which required surgery. So you'll hear about that, too!Resources:Sign up for the waitlist for Natural Contraception the Herbal Way program!Free Track Your Cycle Naturally (FAM) guideToday's shownotes: Get links to Leah's steaming + birthwork offeringsEpisode 25: Immediate postpartum care the herbal way w Liz PhilbrickHarvard study -- reduced inflammation through kinder self-talkcouldn't find the study but found these:Mindfulness + positive health outcomes - Harvard professor Ellen Langer + Harvard HealthEmodiversity + Biomarkers of InflammationIf you loved this episode, share it with a friend, or take a screenshot and share on social media and tag me @herbalwombwisdom.  And if you love this podcast, leave a rating & write a review! It's really helpful to get the show to more amazing humans like you.  ❤️DISCLAIMER: This podcast is for educational purposes only, I am not providing any medical advice, I am not a medical practitioner, I'm an herbalist and in the US, there is no path to licensure for herbalists, so my role is as an herbal educator. Please do your own research and consult your healthcare provider for any personal health concerns.Support the show

AI Assisted Coding: From Designer to Solo Developer - Building Production Apps with AI In this special episode, Elina Patjas shares her remarkable journey from designer to solo developer, building LexieLearn—an AI-powered study tool with 1,500+ users and paying customers—entirely through AI-assisted coding. She reveals the practical workflow, anti-patterns to avoid, and why the future of software might not need permanent apps at all. The Two-Week Transformation: From Idea to App Store "I did that, and I launched it to App Store, and I was like, okay, so… If I can do THIS! So, what else can I do? And this all happened within 2 weeks."   Elina's transformation happened fast. As a designer frustrated with traditional software development where maybe 10% of your original vision gets executed, she discovered Cursor and everything changed. Within two weeks, she went from her first AI-assisted experiment to launching a complete app in the App Store. The moment that shifted everything was realizing that AI had fundamentally changed the paradigm from "writing code" to "building the product." This wasn't about learning to code—it was about finally being able to execute her vision 100% the way she wanted it, with immediate feedback through testing. Building LexieLearn: Solving Real Problems for Real Users "I got this request from a girl who was studying, and she said she would really appreciate to be able to iterate the study set... and I thought: "That's a brilliant idea! And I can execute that!" And the next morning, it was 9.15, I sent her a screen capture."   Lexie emerged from Elina's frustration with ineffective study routines and gamified edtech that didn't actually help kids learn. She built an AI-powered study tool for kids aged 10-15 that turns handwritten notes into adaptive quizzes revealing knowledge gaps—private, ad-free, and subscription-based. What makes Lexie remarkable isn't just the technology, but the speed of iteration. When a user requested a feature, Elina designed and implemented it overnight, sending a screen capture by 9:15 AM the next morning. This kind of responsiveness—from customer feedback to working feature in hours—represents a fundamental shift in how software can be built. Today, Lexie has over 1,500 users with paying customers, proving that AI-assisted development isn't just for prototypes anymore. The Workflow: It's Not Just "Vibing" "I spend 30 minutes designing the whole workflow inside my head... all the UX interactions, the data flow, and the overall architectural decisions... so I spent a lot of time writing a really, really good spec. And then I gave that to Claude Code."   Elina has mixed feelings about the term "vibecoding" because it suggests carelessness. Her actual workflow is highly disciplined. She spends significant time designing the complete workflow mentally—all UX interactions, data flow, and architectural decisions—then writes detailed specifications. She often collaborates with Claude to write these specs, treating the AI as a thinking partner. Once the spec is clear, she gives it to Claude Code and enters a dialogue mode: splitting work into smaller tasks, maintaining constant checkpoints, and validating every suggestion. She reads all the code Claude generates (32,000 lines client-side, 8,000 server-side) but doesn't write code herself anymore. This isn't lazy—it's a new kind of discipline focused on design, architecture, and clear communication rather than syntax. Reading Code vs. Writing Code: A New Skill Set "AI is able to write really good code, if you just know how to read it... But I do not write any code. I haven't written a single line of code in a long time."   Elina's approach reveals an important insight: the skill shifts from writing code to reading and validating it. She treats Claude Code as a highly skilled companion that she needs to communicate with extremely well. This requires knowing "what good looks like"—her 15 years of experience as a designer gives her the judgment to evaluate what the AI produces. She maintains dialogue throughout development, using checkpoints to verify direction and clarify requirements. The fast feedback loop means when she fails to explain something clearly, she gets immediate feedback and can course-correct instantly. This is fundamentally different from traditional development where miscommunication might not surface until weeks later. The Anti-Pattern: Letting AI Run Rampant "You need to be really specific about what you want to do, and how you want to do it, and treat the AI as this highly skilled companion that you need to be able with."   The biggest mistake Elina sees is treating AI like magic—giving vague instructions and expecting it to "just figure it out." This leads to chaos. Instead, developers need to be incredibly specific about requirements and approach, treating AI as a skilled partner who needs clear communication. The advantage is that the iteration loop is so fast that when you fail to explain something properly, you get feedback immediately and can clarify. This makes the learning curve steep but short. The key is understanding that AI amplifies your skills—if you don't know what good architecture looks like, AI won't magically create it for you. Breaking the Gatekeeping: One Person, Ten Jobs "I think that I can say that I am a walking example of what you can do, if you have the proper background, and you know what good looks like. You can do several things at a time. What used to require 10 people, at least, to build before."   Elina sees herself as living proof that the gatekeeping around software development is breaking down. Someone with the right background and judgment can now do what previously required a team of ten people. She's passionate about others experiencing this same freedom—the ability to execute their vision without compromise, to respond to user feedback overnight, to build production-quality software solo. This isn't about replacing developers; it's about expanding who can build software and what's possible for small teams. For Elina, working with a traditional team would actually slow her down now—she'd spend more time explaining her vision than the team would save through parallel work. The Future: Intent-Based Software That Emerges and Disappears "The software gets built in an instance... it's going to this intent-based mode when we actually don't even need apps or software as we know them."   Elina's vision for the future is radical: software that emerges when you need it and disappears when you don't. Instead of permanent apps, you'd have intent-based systems that generate solutions in the moment. This shifts software from a product you download and learn to a service that materializes around your needs. We're not there yet, but Elina sees the trajectory clearly. The speed at which she can now build and modify Lexie—overnight feature implementations, instant bug fixes, continuous evolution—hints at a future where software becomes fluid rather than fixed. Getting Started: Just Do It "I think that the best resource is just your own frustration with some existing tools... Just open whatever tool you're using, is it Claude or ChatGPT and start interacting and discussing, getting into this mindset that you're exploring what you can do, and then just start doing."   When asked about resources, Elina's advice is refreshingly direct: don't look for tutorials, just start. Let your frustration with existing tools drive you. Open Claude or ChatGPT and start exploring, treating it as a dialogue partner. Start building something you actually need. The learning happens through doing, not through courses. Her own journey proves this—she went from experimenting with Cursor to shipping Lexie to the App Store in two weeks, not because she found the perfect tutorial, but because she just started building. The tools are good enough now that the biggest barrier isn't technical knowledge—it's having the courage to start and the judgment to evaluate what you're building.   About Elina Patjas   Elina is building Lexie, an AI-powered study tool for kids aged 10–15. Frustrated by ineffective "read for exams" routines and gamified edtech fluff, she designed Lexie to turn handwritten notes into adaptive quizzes that reveal knowledge gaps—private, ad-free, and subscription-based. Lexie is learning, simplified.   You can link with Elina Patjas on LinkedIn.

Dylan Beynon, founder of Mindbloom, shares the deeply personal story behind building the first at-home ketamine therapy platform. After losing his mother and sister to severe mental illness, Dylan became determined to bring psychedelic medicine into mainstream healthcare. He explains the neuroscience of how ketamine creates neuroplasticity—allowing the brain to rewire itself—and why these treatments are showing 10x better outcomes than SSRIs. From navigating FDA breakthrough therapy designations to dismantling decades of stigma from Nixon-era drug policy, Dylan reveals how Mindbloom is democratizing access to treatments that were once only available in $5,000 in-person clinics. Hosted on Acast. See acast.com/privacy for more information.

Send us a textIn this powerful and timely episode of the Gotta Be Saints Podcast, I'm joined by Dr. Charles “Charlie” Camosy — moral theologian, bioethicist, and author of Living and Dying Well (order here).Charlie shares deep insights into the cultural push toward physician-assisted killing, why our society is at a “tipping point,” and how the Catholic vision of life and death offers a radically hopeful alternative rooted in dignity, community, and love. Drawing from Church teaching, real-world data, and his father's own end-of-life journey, Charlie shows how we can resist the throwaway culture and accompany the sick and elderly with compassion and purpose.Whether you're caring for aging parents, worried about dementia, or simply wondering what it means to “die well” as a disciple of Jesus, this conversation reframes aging and dying as invitations to deeper love.In this episode, Charlie shares:Why some states are pushing physician-assisted killing — and why others still strongly resistWhat “autonomy” really means in our cultural momentWhy the poor, disabled, and marginalized are most at riskHow consumerism distorts our view of productivity and worthWhat it truly means to live and die well in Christian communityHow demographic trends and the dementia crisis complicate end-of-life careHow Catholics can build a counterculture of hospitality, encounter, and hopeIf you've ever asked yourself…How do I support a loved one who fears being a burden? What does the Church actually teach about assisted suicide? How do I walk with aging parents with dignity and charity? What does resisting the throwaway culture look like at the end of life? …then this episode is for you.Learn MoreExplore more of Charlie's work: charlescamosy.comTruthlyThis episode is sponsored by Truthly — the first Catholic action app helping you reflect, learn, and share your faith confidently. Start your free trial with code gottabesaints: truthly.aiFollow Gotta Be SaintsInstagram: @gottabesaints Subscribe and leave a review to help others discover the call to holiness. Support the show

Roughly 250 agents are set to come to New Orleans for an immigration crackdown dubbed the “Swamp Sweep.” Agents are aiming to arrest 5,0000 undocumented people in southeast Louisiana and Mississippi. Jack Brook reported this story for The Associated Press. He joins us with the latest. Loyola University's School of Music and Theatre Professions was recently recognized as a top music business school of 2025 by Billboard Magazine. Loyola joins the ranks of schools like Berklee College of Music, the University of Southern California and Belmont University in Nashville.This comes as Loyola is building its own hub for music business entrepreneurship and on-the-job education – it's known as Wolf Moon Entertainment and involves partnering with the venue Gasa Gasa.Kate Duncan, director of Loyola's School of Music and Theatre Professions, and Tim Kappel, associate director and professor of practice in music law, join us for more.Last month, two Louisiana doctors performed the first robotic pediatric spinal surgeries in the Gulf South. Ochsner Children's doctors Lawrence Haber and Ryan Farmer work with patients with varying degrees of scoliosis. Now, technology is helping them to straighten patients' spines. Pediatric orthopedic surgeonsBoth doctors join us for more on the future of technology in surgery.—Today's episode of Louisiana Considered was hosted by Adam Vos. Our managing producer is Alana Schreiber. We get production support from Garrett Pittman and our assistant producer Aubry Procell.You can listen to Louisiana Considered Monday through Friday at noon and 7 p.m. It's available on Spotify, the NPR App and wherever you get your podcasts. Louisiana Considered wants to hear from you!Please fill out our pitch line to let us know what kinds of story ideas you have for our show. And while you're at it, fill out our listener survey! We want to keep bringing you the kinds of conversations you'd like to listen to.Louisiana Considered is made possible with support from our listeners. Thank you

In our update this month Derek Munn, Director of Policy and Public Affairs at the RCSLT covers:Update on the NHS in England.Curriculum review - our definition of oracy adopted and evidence based approach on adaptation for children and young people with Special Educational Needs and Disabilities.https://www.rcslt.org/news/rcslt-response-to-the-curriculum-review-final-report/Engagement with the Chief Medical Officer, Sir Chris Whitty, on the report on the Health of people in prison, and in the secure NHS estate in England. https://www.gov.uk/government/publications/the-health-of-people-in-prison-on-probation-and-in-the-secure-nhs-estate-in-englandRCSLT response to NICE guideline on rehabitation for chronic neurological disorders including acquired brain injury. https://www.rcslt.org/news/rcslt-responds-to-new-nice-guideline/Adult waiting times.Scottish advanced practice guidance for AHPs https://www.gov.scot/publications/transforming-roles-paper-6-allied-health-professions-advanced-practice/pages/1/.Invest in SLT update.Care home statement: https://www.rcslt.org/news/new-statement-on-the-role-of-slts-in-care-homes/Assisted dying in Jersey.Betsi Cadwaladr University Health Board celebrates RCSLT 80th year.RCSLT conference 26-27 November - tickets still available. https://www.rcslt.org/events/rcslt-conference-2025/Find other podcasts here https://www.rcslt.org/podcasts/ or on your favourite podcast app.This interview was conducted by Victoria Harris, Head of Learning at The Royal College of Speech and produced and edited by freelance producer Jacques Strauss.Please be aware that the views expressed are those of the guests and not the RCSLT.Please do take a few moments to respond to our podcast survey: uk.surveymonkey.com/r/LG5HC3R

Braveheart Farms - Improving physical, emotional, cognitive, and social skills through equine-assisted activities.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of the PCOS Repair Podcast, you will discover the key differences between natural and assisted fertility approaches, and how to determine which path might best suit your needs and personal journey with PCOS. Whether you're currently trying to conceive, thinking about it for the future, or simply wanting to regulate your cycle and optimize your reproductive health, this episode offers empowering and informative insights to guide your next steps.Exploring Natural Fertility OptionsYou'll hear about the benefits and challenges of a natural fertility approach, including how lifestyle changes such as blood sugar management, stress reduction, movement, and nutrition can help support regular ovulation and hormonal balance. Ashlene shares why this path often takes more time and patience, but can lead to incredibly effective, lasting improvements for women with PCOS.Knowing When It's Time to Shift GearsFor listeners feeling frustrated by slow progress or unsure of the next step, this episode offers clarity on when it might be time to consider testing, specialist referrals, or a shift in strategy. Whether you've experienced early pregnancy losses, are over 35, or just feel stuck, Ashlene shares practical questions to ask and signals to watch for when navigating this complex journey.Honoring the Emotional Side of FertilityOne of the most powerful aspects of this conversation is the validation of the emotional rollercoaster that comes with PCOS and fertility challenges. Ashlene encourages you to pause, reflect, and make decisions from a place of clarity and self-compassion—rather than fear or urgency. You'll be reminded that it's okay to take breaks, change plans, and pursue what feels right for your mental and physical wellbeing.Designing a Fertility Plan That Works for YouIn closing, Ashlene reinforces that there is no one-size-fits-all path to pregnancy with PCOS. You'll be inspired to create a plan that aligns with your values, timeline, and health needs. Whether you choose to go natural, assisted, or a blend of both, this episode will help you feel informed, grounded, and supported.Listeners are invited to explore the PCOS Root Cause Bootcamp as a way to uncover personal root causes and create a sustainable foundation for hormone health and fertility success, whether that includes treatment or not.You can take the quiz to discover your root cause hereLet's continue the conversation on Instagram!What did you find helpful in this episode and what follow-up questions do you have?The full list of Resources & References Mentioned can be found on the Episode webpage at:https://nourishedtohealthy.com/ep-173

This interview was recorded for GOTO Unscripted.https://gotopia.techJessica Kerr - Engineering Manager of Developer Relation at Honeycomb.io & SymmathecistDiana Montalion - Systems Architect, Mentrix Founder & Author of "Learning Systems Thinking"RESOURCESJessicahttps://bsky.app/profile/jessitron.bsky.socialhttps://linkedin.com/in/jessicakerrhttps://www.twitch.tv/jessitronicahttps://jessitron.comDianahttps://bsky.app/profile/dianamontalion.comhttps://www.linkedin.com/in/dianamontalionhttps://montalion.comhttps://learningsystemsthinking.comDESCRIPTIONSystems architect Diana Montalion and engineering manager Jessica Kerr cut through the AI coding hype to explore what these tools actually do well - and where they have room for improvement. Moving beyond the "AI will replace developers" narrative, they reveal how AI assistants excel at the tedious work of typing, scaffolding, and error handling while remaining surprisingly bad at the nuanced thinking that experienced developers bring to complex systems.Their discussion illuminates a more mature relationship with AI tools: one where developers maintain agency over design decisions while leveraging AI's strengths in automation, synthesis, and rapid prototyping. The result is a pragmatic roadmap for using AI to amplify human expertise rather than replace it.RECOMMENDED BOOKSDiana Montalion • Learning Systems Thinking • https://amzn.to/3ZpycdJAndrew Harmel-Law • Facilitating Software Architecture • https://amzn.eu/d/5kZKVfUDonella H. Meadows • Thinking in Systems • https://amzn.to/3XtqYCVYu-kai Chou • Actionable Gamification • https://amzn.to/45D8bHAInspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

PREVIEW Ahmad Sharawi explores current Russian interests in Syria, noting that Russia previously assisted Assad in brutalizing the Syrian people. Recent discussions included defense agreements, military ties, and the status of two Russian bases in Western Syria. While Syria tries to balance world powers, the guest expresses concern because the Syrian people are domestically unhappy with a close relationship with Russia due to past atrocities. Guest: Ahmad Sharawi. ALEPPO

The update strengthens planning logic and memory. Group Planning allows teams to structure work with AI input. Many say it reduces project friction.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We need to recognize the contributions and sacrifices that family caregivers make to help those they love who can't provide for their own daily needs. The reason most people own LTC insurance is to help those caregivers to not feel alone and isolated. If you don't own LTC insurance and you want to protect your family, assets and choices, schedule time with me to plan here Below are many resources to help caregivers help their loved ones better. Administration for Community Living https://acl.gov/ Alzheimers Association https://www.alz.org/ American Association of Homes and Services for the Aging https://leadingage.org/ Aging Life Care Association https://www.aginglifecare.org/ National Council on Aging https://www.ncoa.org/ Senior Homes https://www.seniorhomes.com/ Assisted Living Foundation of America http://www.alfahousing.org/ National Center for Assisted living https://www.ahcancal.org/Assisted-Living/Pages/default.aspx Memory Care Facility Locator https://www.memorycarefacilities.net/ Today's Caregiver magazine https://caregiver.com/ National nursing home database https://www.medicare.gov/care-compare/?redirect=true&providerType=NursingHome There are others, but this is a good start.

①World's first flying car factory begins trial production in south China ②Shanghai Disney Resort plans fourth themed hotel ③AI-assisted online tool helps decipher China's oracle bone characters ④China targets manned moon landing by 2030, outlines testing tasks ahead ⑤China tests inflatable space factory, eyes in-orbit manufacturing ⑥Wasabi fuels prosperity in southwest China's mountains

Mark Williamson, CTO of Undo, joins host Priyanka Raghavan to discuss AI-assisted debugging. The conversation is structured around three main objectives: understanding how AI can serve as a debugging assistant;  examining AI-powered debugging tools; exploring whether AI debuggers can independently find and fix bugs. Mark highlights how AI can support debugging with its ability to analyze vast amounts of data, narrow down issues, and even generate tests. From there, the discussion turns to AI debugging tools, with a particular look at ChatDBG's strengths and limitations, with a peek at time travel debugging. In the final segment, they consider several real-world scenarios and evaluate the feasibility and practicality of AI acting autonomously in debugging. Brought to you by IEEE Computer Society and IEEE Software magazine.

Assisted by Ian Chiverton, Jake Smith reviews Portsmouth's 4-0 Championship defeat away at Birmingham City. They then discuss Pompey's dramatic WSL 2 victory over Crystal Palace at Westleigh Park before being joined by Tomi Caws, host of ‘This Week in Wrexham' on the Men In Blazers network, to look ahead to Wednesday night's clash involving the Blues and The Red Dragons at Fratton Park.

The spooky season don't stop on I Know That Face. Assisted again by scream queen Katie McGrath, we talk about what we're watching this Halloween. This includes the middle movies in the Halloween franchise, bad remakes of Pulse and The Thing, slashers like Cherry Falls and Wes Craven's My Soul to Take, as well as '80s cult classic Dead and Buried. Following that is our discussion of Irish actress Ruth Negga's career from its beginnings in the homegrown thrillers Isolation and Trafficked to her Oscar-nominated role in Loving. We also touch on Negga's more recent fare, such as Ad Astra and Passing. Andrew Twitter: @Andrew_Carroll0 Stephen Twitter: @StephenPorzio I Know That Face Twitter: @IKnowThatFaceP1 / Instagram: @iknowthatface / Facebook: @iknowthatfacepod Edited by Andrew Carroll and Stephen Porzio Intro and Outro Music: No Boundaries (motorik groove) by Keshco. ⁠⁠⁠⁠Licence⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode Matthew Hicks, ND, MS joins to dive into the topic of psilocybin-assisted group therapy for depression. Dr. Hicks is a research Investigator at the National University of Natural Medicine as well as a Naturopathic doctor and licensed psilocybin facilitator at Synaptic Institute. In this conversation, Dr. Hicks shares findings from one of the first studies investigating psilocybin-assisted group therapy for depression, conducted in Oregon's new legal psilocybin framework. He explains how the high cost and labor-intensive nature of psychedelic therapy inspired him to explore a group model that could make treatment more financially accessible while preserving - and even enhancing - its therapeutic potential. Dr. Hicks describes the structure of the study and discusses how initial participant hesitancy about group work transformed into deep connection and shared healing. He also highlights the study's significant reductions in depression scores, improvements across quality-of-life measures, and the potential for group-based approaches to pave the way toward insurance reimbursement and broader access to psychedelic care. In this episode, you'll hear: Why affordability and accessibility were central motivations for developing a group-based psilocybin protocol The benefits and challenges of conducting psilocybin sessions in a shared group setting How Dr. Hicks' study balanced inclusion of low-income participants with safety and stability criteria The details of the group treatment structure for Dr. Hicks' study Why Dr. Hicks believes group formats may be inherently therapeutic in addition to their economic efficiency Dr. Hicks's vision for future efficacy and cost-effectiveness studies that could enable insurance coverage Quotes: "In terms of the group dynamic, almost everyone in the intake process was very reluctant. They were trepidatious. They were a little worried about the group part of it. And almost everybody at the end of it, when we did the follow ups at the group, was amazing. People made friends. They felt really supported. They felt really seen by the process of hearing other people's journeys and the growth that they went through—and seeing some other examples of transformation was really powerful and was really encouraging to me." [10:29] "So [there are] really positive aspects to doing this in a group format that's not just economic—it's not just cheaper to do this in group, it actually has therapeutic benefits that you miss out on when you only do this one on one." [11:12] "That was always my question in the follow up sessions: 'did your participation in this study change the way you engaged in psychotherapy? Did it change the relationship with your therapist?' And a lot of people reported that it did. They felt they were able to open up and engage more deeply, be more introspective. And it did, in many cases, not all, improve their psychotherapy outcomes as well." [18:24] "Some people reported that hearing someone else in the group crying for a bit really opened up something in them and they almost felt grateful for that. This other person is having a meaningful experience over there, and that's something they wouldn't have gotten on their own if they hadn't heard that person crying." [22:45] Links: Dr. Hicks on LinkedIn Synaptic Institute website Dr. Hicks' research at Synaptic Institute National University of Natural Medicine website Psychedelic Medicine Association Porangui

Our discussion with Kyle Falbo—Math and Computer Science Lecturer and Educational Technology Application Expert at Sonoma State University—focuses on how AI-enhanced teaching and learning tools (ChatGPT, Google NotebookLM, Khanmigo and others) are being explored and implemented at SSU. Our discussion also includes: the possible risks and benefits of this new technology, how AI-assisted tools can be used outside of educational institutions by life-long learners and critical thinkers, and how the future might unfold as we experience living with AI.

(Oct 24, 2025) On today's Story of the Day, we hear from both sides of the debate over whether to legalize physician-assisted death in New York state. Also, a green group in the Adirondacks is pausing its plan to change the name of a mountain it says is derogatory.

In this episode, we explore psychedelic-assisted therapy in clinical practice, examining how these treatments differ fundamentally from traditional pharmacotherapy. Can psychiatrists reconcile mystical experiences with evidence-based medicine while navigating the complex therapeutic paradigm of preparation, 8-hour sessions, and integration work? Faculty: Franklin King, M.D. Host: Richard Seeber, M.D. Learn more about our memberships here Earn 1.25 CMEs: Use of Psychedelic Drugs in Psychiatry Psychedelic-Assisted Therapy in Clinical Practice

When most people think of the Thoroughbred industry, they picture racing, speed, and high stakes. But what happens to these horses after the finish line? And could their intelligence, courage, and sensitivity make them perfect partners in equine-assisted work?✨ “It's a win-win situation for the equine-assisted world and for the Thoroughbred world — an opportunity to give back to society in a meaningful way.” – Suzi Pritchard-Jones✨ “Any living creature is made up of energy. Unless you can express that energy, it gets bottled up and becomes destructive.” – Suzi Pritchard-JonesIn this compelling episode, Rupert Isaacson speaks with Suzi Pritchard-Jones — a breeder and advocate working to bridge the gap between the racing world and the equine-assisted community. Suzi shares her vision for a more humane future for Thoroughbreds, both during their careers and beyond, where welfare, horsemanship, and second careers in therapy and education take center stage.From Ireland to Florida to the UK, Suzi is pushing for change within an industry often misunderstood and criticized, championing transparency, accountability, and empathy for one of the world's most athletic and misunderstood breeds. Together, she and Rupert explore how Thoroughbreds — once the engine of civilization — can once again serve humanity through healing, learning, and connection.If you want to support the show, you can do so at Patreon: https://www.patreon.com/LongRideHome

Discord favourite and top NA player H00Bear joins Josh and Ben to discuss his favourite tactic and to debate the pro's and con's of Precision shooting in FC 26. Get these episodes in your podcast app: bit.ly/podfeedhelpDiscord (for Gold & Icon) Supporters: bit.ly/poddiscordhelpImprove your connection: bit.ly/connectionspecial Thank you as always for making FUT Weekly possible! 00:00 Introduction 09:56 H00's 41212 Narrow 15:47 What are the best roles for a midfield 4? 25:41 Formation and Role Analysis 29:01 Short, balanced or counter build up? 37:08 Ben's 4231 Wide 43:05 Game Updates and Community Feedback 51:05 Shooting Techniques: Precision vs Assisted Learn more about your ad choices. Visit podcastchoices.com/adchoices

Seamus Kearney of Martone Irish Gay Dads joins PJ to discuss the new Assisted Human Reproduction (AHR) Regulatory Authority has been established by the Minister for Health. Hosted on Acast. See acast.com/privacy for more information.

On Healthy Mind, Healthy Life, Avik sits down with speculative fiction author and trained psychedelic facilitator Diana Colleen to unpack trauma recovery, the realities and limits of psychedelic-assisted therapy (without naming specific medicines), and her provocative debut novel They Could Be Saviors—which reframes “billionaireism” as a social sickness. This direct, no-fluff conversation explores set & setting, integration, consent, safety, wealth inequality, climate accountability, and the difference between recreational use and therapeutic containers. If you care about mental health, trauma healing, leadership ethics, wealth concentration, or climate responsibility, this episode gives you a grounded lens you can use—today.   About the Guest  : Diana Colleen is a speculative fiction author and trained psychedelic facilitator. Her debut novel, They Could Be Saviors, challenges cultural blind spots around extreme wealth and power while drawing from her personal healing journey with psychedelic-assisted therapy in professional, regulated settings.   Key Takeaways  : Psychedelic-assisted therapy is a container, not a shortcut: outcomes depend on set (mindset/intentions), setting (safety/support), and integration after sessions. Not recreational: therapy work is distinct from concerts/party contexts; trained facilitators and screening reduce risk and support trauma processing. Hope is a catalyst: one properly supported session can interrupt suicidal ideation; long-term change still requires consistent integration and support. Ethics of wealth: framing billionaireism as hoarding surfaces social and environmental costs; calling it an “illness” invites accountability without dehumanization. Climate and power: a small number of companies drive a disproportionate share of emissions; leadership choices have cascading public-health impacts. Nuance over extremes: billionaires aren't heroes or villains by default—human backstories and trauma shape choices; responsibility for impact remains. Regulation vs. capture: therapeutic use should be regulated for safety without turning into extractive, monopolized pharma pipelines. Culture change through story: fiction can challenge blind spots and make complex debates discussable without shutting people down.   How to Connect with the Guest   Website: https://www.dianacolleenauthor.com/ Newsletter & book info: via her site's Connect page Ask for reviews: Listeners are invited to read the novel and leave an honest review.   Want to be a guest on Healthy Mind, Healthy Life? DM on PM - Send me a message on PodMatch DM Me Here: https://www.podmatch.com/hostdetailpreview/avik   Disclaimer: This video is for educational and informational purposes only. The views expressed are the personal opinions of the guest and do not reflect the views of the host or Healthy Mind By Avik™️. We do not intend to harm, defame, or discredit any person, organization, brand, product, country, or profession mentioned. All third-party media used remain the property of their respective owners and are used under fair use for informational purposes. By watching, you acknowledge and accept this disclaimer.   Healthy Mind By Avik™️ is a global platform redefining mental health as a necessity, not a luxury. Born during the pandemic, it's become a sanctuary for healing, growth, and mindful living. Hosted by Avik Chakraborty—storyteller, survivor, wellness advocate—this channel shares powerful podcasts and soul-nurturing conversations on: • Mental Health & Emotional Well-being• Mindfulness & Spiritual Growth• Holistic Healing & Conscious Living• Trauma Recovery & Self-Empowerment With over 4,400+ episodes and 168.4K+ global listeners, join us as we unite voices, break stigma, and build a world where every story matters.

Deirdre Madden, Professor of Law at UCC, and first Chair of the Assisted Human Reproduction Regulatory Authority, discusses how AHRRA will operate in the coming months.

Have you ever wondered if something as natural—and as ancient—as a mushroom could help you resolve trauma, reduce depression, or even diminish the fear of death? On this week's episode of Love University, we met Dr. Stacey Simmons—psychotherapist and certified psychedelic-assisted therapy practitioner (staceysimmonsphd.com). Her work brings together neuroscience and and plant-medicine research. As the author of Mushroom Pharmacy, Dr. Simmons explores how psilocybin and other psychedelics may support emotional healing, spiritual awakening, and brain transformation. Here are a few highlights from our conversation: What is psilocybin therapy? Dr. Simmons explained that psilocybin—the psychoactive compound in “magic mushrooms”—has been used for thousands of years in sacred ritual. Today, it's being clinically studied for depression, trauma, and end-of-life anxiety. Several U.S. states, including Oregon and Colorado, have already approved regulated use in therapeutic settings. Microdosing vs. full-dose journeys. We talked about the difference between microdosing (small, sub-perceptual doses taken regularly) and higher-dose “journey” sessions, which can open people to profound experiences of unity, inner clarity, or even a rehearsal of death—helping some individuals release long-held fear or emotional pain. The healing comes from preparation and integration. Dr. Simmons emphasized that psychedelics aren't miracle pills. Safety, psychological screening, and careful integration afterward are essential—especially for those with conditions like bipolar disorder or schizophrenia, where use is contraindicated. Beyond chemicals: spiritual repair. According to Dr. Simmons, psilocybin can temporarily silence the inner chatter of the “monkey mind,” opening space for deep insight, connection, and awe. She believes these moments remind us that we're more than our bodies—and can reconnect us with a sense of mystery in an increasingly mechanized world. A new kind of medicine. With her clinical practice and book, Mushroom Pharmacy, Dr. Simmons invites us to rethink how healing happens—not just with prescriptions, but with purpose, intention, and reconnection to self and nature. Dr. Simmons left us with a simple reminder: Mushrooms alone may not save your life—but when used with wisdom, they can help you remember how to live it more fully.

Have you ever wondered if something as natural—and as ancient—as a mushroom could help you resolve trauma, reduce depression, or even diminish the fear of death? On this week's episode of Love University, we met Dr. Stacey Simmons—psychotherapist and certified psychedelic-assisted therapy practitioner (staceysimmonsphd.com). Her work brings together neuroscience and and plant-medicine research. As the author of Mushroom Pharmacy, Dr. Simmons explores how psilocybin and other psychedelics may support emotional healing, spiritual awakening, and brain transformation. Here are a few highlights from our conversation: What is psilocybin therapy? Dr. Simmons explained that psilocybin—the psychoactive compound in “magic mushrooms”—has been used for thousands of years in sacred ritual. Today, it's being clinically studied for depression, trauma, and end-of-life anxiety. Several U.S. states, including Oregon and Colorado, have already approved regulated use in therapeutic settings. Microdosing vs. full-dose journeys. We talked about the difference between microdosing (small, sub-perceptual doses taken regularly) and higher-dose “journey” sessions, which can open people to profound experiences of unity, inner clarity, or even a rehearsal of death—helping some individuals release long-held fear or emotional pain. The healing comes from preparation and integration. Dr. Simmons emphasized that psychedelics aren't miracle pills. Safety, psychological screening, and careful integration afterward are essential—especially for those with conditions like bipolar disorder or schizophrenia, where use is contraindicated. Beyond chemicals: spiritual repair. According to Dr. Simmons, psilocybin can temporarily silence the inner chatter of the “monkey mind,” opening space for deep insight, connection, and awe. She believes these moments remind us that we're more than our bodies—and can reconnect us with a sense of mystery in an increasingly mechanized world. A new kind of medicine. With her clinical practice and book, Mushroom Pharmacy, Dr. Simmons invites us to rethink how healing happens—not just with prescriptions, but with purpose, intention, and reconnection to self and nature. Dr. Simmons left us with a simple reminder: Mushrooms alone may not save your life—but when used with wisdom, they can help you remember how to live it more fully.

Minister for Health Jennifer Carroll MacNeill has today announced the Assisted Human Reproduction Bill, which includes a legal framework for both domestic and international surrogacy. It aims to protect the health and wellbeing of the child, surrogate, and the intended parents of the children born through surrogacy.Joining guest host Jonathan Healy to discuss is Lawyer Annette Hickey.

Dr. Jessica Punzo is a licensed clinical psychologist and President of the APA's Division on Trauma Psychology. She specializes in trauma and PTSD and owns two practices: Middle Path Psychotherapy, focused on complex trauma, and Rooted Journey Wellness, where she provides ketamine-assisted psychotherapy. Certified in Psychedelic-Assisted Therapy through the Integrative Psychiatry Institute, Dr. Punzo is passionate about educating both clinicians and the public on the promise of psychedelic therapies.In This EpisodeMiddle Path PsychotherapyRooted Journey WellnessJourney ClinicalBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-trauma-therapist--5739761/support.You can learn more about what I do here:The Trauma Therapist Newsletter: celebrates the people and voices in the mental health profession. And it's free! Check it out here: https://bit.ly/4jGBeSa———If you'd like to support The Trauma Therapist Podcast and the work I do you can do that here with a monthly donation of $5, $7, or $10: Donate to The Trauma Therapist Podcast.Click here to join my email list and receive podcast updates and other news.

North Korean defector and human rights advocate Timothy Cho joins hosts Ray Powell and Jim Carouso for a deeply personal account of his life in and escape from North Korea. He recounts his childhood poverty, four imprisonments, harrowing escape, and ultimate rescue that finally brought him to freedom. His story reveals North Korea's total information control, systemic persecution, and brutal detention conditions, while also highlighting the power of compassion, civil society, and diplomacy to intervene.Total information blackout: North Korea remains the only country without internet, cross-border communication, or social media—25 million people completely isolated from the outside world.Childhood indoctrination and famine: Timothy grew up worshiping the Kim family from infancy. His parents fled the country during the starvation that swept the country in the 1990s, which led him to being labeled "enemy class" for their defection.First escape and capture: After crossing the river into China, Timothy experienced shock at the open markets and fashionable clothes he saw there. However, he fled in terror from Christian missionaries who wanted to help, as he had absorbed many years of propaganda that painted religion as barbaric.Prison hell: After he was arrested at the Mongolian border, Timothy was sent to North Korean detention cells so overcrowded that detainees couldn't lie down. He witnessed death, torture, forced abortions, and other traumas that left him deeply scarred.Second crossing: Assisted by his grandmother to escape a second time, he was wrapped in plastic for another river crossing into China, where he found unexpected help from strangers.Rescue: After a 13-year-old student's email sparked international media coverage of the plight of North Korean refugees, public protests and diplomatic pressure led China to deport Timothy and eight others to the Philippines.Today's advocacy: Today Timothy serves as Secretariat of the UK All-Party Parliamentary Group on North Korea, speaking at the UN and urging sustained attention to the "voiceless" millions under DPRK repression.North Korea's unique isolation underpins mass repression through complete information control. The regime punishes families of defectors, while detention is often lethal by design. However, civil society and diplomatic action can save lives—one student's message triggered multilateral intervention. Of 34,000 estimated escapees, most remain fearfully silent to protect themselves and loved ones still inside.

Send us a textWhat happens when talk therapy isn't enough? When the pain runs so deep that even the best therapist can't reach it? Curt Kearney joins today to share his personal story of turning to psychedelics as a last resort and how that decision changed the entire trajectory of his life.This is a deeply grounded conversation about trauma, treatment-resistant depression, and the inner parts we exile to survive. Curt breaks down how Internal Family Systems (IFS) and psychedelic-assisted therapy can work together to bring those parts back into relationship, sometimes for the first time in decades. This is not a conversation about quick fixes. It's about safety, trust, and the power of showing up for the parts of ourselves we were taught to bury.This Episode Covers:Curt's first experience with LSD at 17 and how it altered his mental health journey.The difference between exiles and protectors in IFS.How psychedelics can amplify self-compassion and internal clarity.The importance of preparation and consent in psychedelic work.A powerful case study of MDMA-assisted therapy for PTSD.Why “bad trips” often come from neglected parts not feeling safe.The role of integration and ongoing relationship with inner parts.What happens when the monster inside turns out to be you.Connect with Curt:LinkedIn - https://www.linkedin.com/in/curt-kearney-39824643/Website - https://www.curtkearney.com/Until next time, here's to deeper connections and personal growth.Mad love!The podcast is now on YouTube! If you prefer to watch, head over to https://www.youtube.com/playlist?list=PLw3CabcJueib20U_L3WeaR-lNG_B3zYqu__________________________________________Don't forget to subscribe to the Badass Confidence Coach podcast on your favorite podcast platform!CONNECT WITH ANNA:Instagram https://www.instagram.com/askannamarcolin/TikTok https://www.tiktok.com/tag/askannamarcolinEmail hello@annamarcolin.comWebsite https://www.annamarcolin.com

In another powerful episode of the Bare Knuckle Recovery Podcast, hosts Tommy Streeter and Nate Moellering welcome special guest Warren Gumpel, a leading voice and educator on ketamine and psychedelic-assisted therapy.Warren shares his deeply personal journey, including his struggle with depression, anxiety, and substance use issues which eventually led him to a life-saving discovery: ketamine treatment. Ten years ago, after a couple of treatments, his depression, anxiety, and suicidal thoughts were gone.Inside the ConversationThe Power of Neuroplasticity: Warren breaks down a critical concept: ketamine is not a "silver bullet". Instead, it acts as a powerful catalyst and provides a window of heightened neuroplasticity —the brain's ability to build new thought patterns and neurons —allowing a person to implement the necessary behavioral changes in their daily life.Dissociation and Trauma: The discussion dives into the dissociative aspect of ketamine, explaining how it temporarily shuts off the brain's "default mode network" (the inner ego and narrative). This process allows an individual to gain a critical distance from traumatic memories, enabling them to re-examine and recontextualize them without the overwhelming physiological "fight or flight" response; an effect that works synergistically with therapies like EMDR.Best Practices and Safety: The conversation covers the difference between outpatient and inpatient care with inpatient facilities like Allendale Treatment offering the optimal environment for building durable habits away from triggers. Warren stresses the importance of a multidisciplinary screening approach and cautions against recreational use, emphasizing that these medicines must be used as part of a therapeutic process with medical supervision.The Psychedelic Horizon: Warren gives an exciting look at the future of mental health treatment, touching on the efficacy of MDMA for PTSD (especially for veterans) and psilocybin for treatment-resistant depression.A Story of Redemption: Hear the incredible story behind the documentary "Lamar Odom Reborn", where Warren helped the NBA star through his own ketamine and Ibogaine treatments following a near-fatal overdose. This moving example showcases the incredible hope and transformation possible for those struggling with trauma and addiction.Don't miss this crucial conversation about innovation, hope, and the critical work being done to change the landscape of mental health and addiction recovery.Discover more episodes and watch the video version of this episode on YouTube or at www.bareknucklerecovery.comWatch this episode here: https://www.bareknucklerecovery.com/

Doctors Lisa and Sara are joined by Dr Cheryl Fitzgerald who is a retired gynaecologist with an extensive background in subfertility. Using a hypothetical case we discuss the definition of subfertility, important components of a history with this presenting complaint, and comorbidities to be aware of. We talk about who should be referred to secondary care, and what patients can expect from that referral. We also think about useful investigations in primary care before referral. You can use these podcasts as part of your CPD - we don't do certificates but they still count :) Resources: Human Fertilisation and Embryology Authority (HFEA): https://www.hfea.gov.uk/ NICE Fertility problems: assessment and treatment: https://www.nice.org.uk/guidance/cg156 Green Top Guidelines: https://www.rcog.org.uk/guidance/browse-all-guidance/green-top-guidelines/ RCGP Infertility: https://elearning.rcgp.org.uk/mod/book/view.php?id=12534&chapterid=82 ___ We really want to make these episodes relevant and helpful: if you have any questions or want any particular areas covered then contact us on Twitter @PCKBpodcast, or leave a comment on our quick anonymous survey here: https://pckb.org/feedback Email us at: primarycarepodcasts@gmail.com ___ This podcast has been made with the support of GP Excellence and Greater Manchester Integrated Care Board. Given that it is recorded with Greater Manchester clinicians, the information discussed may not be applicable elsewhere and it is important to consult local guidelines before making any treatment decisions.  The information presented is the personal opinion of the healthcare professional interviewed and might not be representative to all clinicians. It is based on their interpretation of current best practice and guidelines when the episode was recorded. Guidelines can change; To the best of our knowledge the information in this episode is up to date as of it's release but it is the listeners responsibility to review the information and make sure it is still up to date when they listen. Dr Lisa Adams, Dr Sara MacDermott and their interviewees are not liable for any advice, investigations, course of treatment, diagnosis or any other information, services or products listeners might pursue as a result of listening to this podcast - it is the clinicians responsibility to appraise the information given and review local and national guidelines before making treatment decisions. Reliance on information provided in this podcast is solely at the listeners risk. The podcast is designed to be used by trained healthcare professionals for education only. We do not recommend these for patients or the general public and they are not to be used as a method of diagnosis, opinion, treatment or medical advice for the general public. Do not delay seeking medical advice based on the information contained in this podcast. If you have questions regarding your health or feel you may have a medical condition then promptly seek the opinion of a trained healthcare professional.

On this episode, author, data scientist, and journalist Yudhanjaya Wijeratne talks to Jill Walker Rettberg about his relationship with AI in producing his Salvage Crew Trilogy of novels. Yudhanjaya Wijeratne: “The Machine as Provocateur” Keynote at CDN Summer School 2025 -   https://www.youtube.com/watch?v=54ZdWvzk2JEStarMap – galaxy generator code on GitHub: https://github.com/yudhanjaya/Starmap Find out more at Yudhanjaya.com Photo by Dirk Skiba Fotografie.

Join Dots Oyebolu as he speaks with Joel Klettke, Founder of Case Study Buddy. Joel shares how marketers can create customer stories that drive growth, build trust and deliver long-term commercial impact. They discuss the pitfalls of AI-generated content, the strategic role of case studies and how to balance customer confidentiality with compelling storytelling. Joel also outlines practical formats that B2B marketers can use to get more mileage from their customer success stories.Key Takeaways:00:00 Introduction.04:33 AI hallucinates and misses the nuance of human relationships.07:39 Customer stories are hard to do well but worth the effort.09:03 Positive response rates tripled when brands used customer proof.12:36 Case studies shouldn't be pigeonholed into a single format.15:33 Stories can be repurposed as nibble, bite, snack or meal.17:42 Worry less about competitors and more about reaching ideal clients.22:21 Assisted conversions show the unseen influence of customer stories.24:39 The consumer is not an idiot. She's your mother.27:57 Evergreen stories should be repurposed across the customer journey.Resources Mentioned:Joel Klettkehttps://www.linkedin.com/in/joelklettke/Case Study Buddy | LinkedInhttps://www.linkedin.com/company/case-study-buddy/Case Study Buddy | Websitehttps://www.casestudybuddy.comInsightful Links:https://www.gartner.com/en/digital-markets/insights/customer-success-storieshttps://fastercapital.com/content/Customer-Advocacy--Amplifying-Customer-Success-Stories.htmlhttps://90seconds.com/blog/the-impact-of-customer-stories/https://www.prinhr.co.uk/news-and-views/how-to-use-customer-stories-in-your-marketingThanks for listening to the “Marketing Leadership” podcast, brought to you by Listen Network. If you enjoyed this episode, leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. We appreciate the enthusiasm and support from our community. Currently, we are not accepting new guest interview requests as we focus on our existing lineup. We will announce when we reopen for new submissions. In the meantime, feel free to explore our past episodes and stay tuned for updates on future opportunities.#PodcastMarketing #PerformanceMarketing #BrandMarketing #MarketingStrategy #MarketingIntelligence #GTM #B2BMarketing #D2CMarketing #PodcastAds

The book title is:  "Living and Dying Well: A Catholic Plan for Resisting Physician-Assisted Killing"

Women of Strength, we are making waves. We are so excited to be sharing our second Maternal Assisted Cesarean story on the podcast today! There are so many beautiful details within Brianna's entire episode that you will not want to miss. In the small town of Crosby, Minnesota with a population of less than 3,000, Brianna was the first MAC under a brand-new policy. About her birth, she says: “While I didn't get my VBAC, I did get a redemptive and healing birth. It just goes to show that acceptance, advocacy, and will power go a long way! I never thought I'd be happy to be writing my testimonial after experiencing all C-section births. My first birth was in August of 2020 where she was breech. It was in the week following her birth that I jumped into all things VBAC. My second birth was complicated by preeclampsia where what was supposed to be my redemptive VBAC turned CBAC when my blood pressure wouldn't cooperate. This birth was traumatic and gave me more grief than my first birth experience. This leads me to my third and final birth story where I changed providers at 20 weeks. I was active and proactive in my own mental and physical health. I ultimately decided that I wanted a Maternal Assisted C-section after seeing Paige's story on The VBAC Link. I thought it would be nearly impossible in small-town Minnesota, but ended up finding my voice and a provider who was extremely supportive. In May 2025, my daughter was born in my hands in the OR. While my grief of not getting a vaginal birth isn't gone, it is much quieter. And despite not getting my VBAC experience, I have found extreme peace and healing in the autonomy and active participation of my maternal assisted cesarean. I encourage all women who are experiencing grief with their birthing experience to get educated, find a supportive provider, keep an open mind, and to not give up.”The VBAC Link Podcast Episode 357 Paige's MACThe VBAC Link Podcast Episode 220 Dr. Natalie ElphinstoneHow to Cope When You Don't Get Your VBACHow to Heal a Bad Birth BookNeeded Website: Code VBAC20 for 20% OffThe Ultimate VBAC Prep Course for ParentsOnline VBAC Doula TrainingSupport this podcast at — https://redcircle.com/the-vbac-link/donationsAdvertising Inquiries: https://redcircle.com/brands

Season 25 of Building Better Developers with AI wraps up with a conversation that is purely human. For over thirty episodes, Rob Broadhead and Michael Meloche used AI to revisit past seasons, uncover new talking points, and spark fresh discussions. For the finale they chose a different path, closing the season without digital assistance. This final episode is a straightforward, human-led reflection on what we learned from months of collaboration with AI: the insights gained, the surprises uncovered, and the lessons that will shape future seasons. How the AI-Assisted Podcast Worked Throughout the season, AI served as an idea partner. Using past episode titles and show notes, we asked large-language models to highlight themes, surface overlooked connections, and suggest new topics. The process felt less like automation and more like collaboration—AI proposed possibilities, we debated them, and together we refined each conversation. Key Insight: Treat AI as a partner that expands your thinking, not a shortcut that replaces it. Key Takeaways from our AI-Assisted Podcast Experimentation 1. Clear Prompts Create Better Results A successful AI-assisted podcast depends on clear, focused questions. Breaking large tasks into small, specific prompts produced the most relevant and useful responses. 2. Feedback Loops Improve Quality We quickly learned that saving strong outputs, rejecting weak ones, and resetting context when needed steadily improved the AI's suggestions from one episode to the next. 3. Human Judgment Still Leads AI delivered outlines and surprising cross-episode links, but final editorial control stayed with us. Only the hosts can decide what truly resonates with listeners. Reality Check: AI can offer insight, but only humans can decide what truly matters. Surprises Along the Way Fresh angles on familiar topics. AI revealed links between older episodes that we hadn't noticed before, pointing out recurring themes, complementary ideas, and even follow-up questions we never realized were related. Faster prep with solid structure. By generating draft outlines and well-structured talking points, AI significantly reduced the hours we normally spend preparing each episode, giving us more time to refine our ideas and plan engaging discussions—without sacrificing depth or quality. Occasional misfires. At times the model misread the conversation's context—offering suggestions that sounded plausible but didn't fit the topic—which underscored how essential it is for humans to review, fact-check, and guide every step of the process. These moments proved that an AI-assisted podcast is most valuable as a creative catalyst, not a finished product. Tips for Your Own AI-Assisted Podcast Thinking of running your own season review? Our experience offers a roadmap: Start with transcripts or detailed show notes. Divide tasks into small prompts: summaries, quotes, cross-episode themes. Snapshot strong responses so you can reference or reuse them later. Verify and edit everything. AI drafts are starting points, never final copy. Pro Tip: When a thread drifts off-topic, copy the best context into a fresh chat to regain focus. Why the Finale Was Different While AI enriched nearly every episode this season, the closing conversation remained entirely human. We wanted to pause the technology and reflect on the experience ourselves—to discuss what AI taught us about creativity, context, and collaboration without relying on the very tool we were evaluating. That choice underscored our biggest lesson: AI is a powerful assistant, not a replacement. It can accelerate ideas and surface connections, but the ultimate storytelling voice must stay human. Looking Ahead to Season 26 Season 25 confirmed that AI can be a powerful collaborator for developers and content creators alike. Our AI-assisted podcast delivered richer conversations, new ideas for upcoming seasons, and a faster way to surface timeless lessons from our own archive. But our human-only finale reminds us that judgment, creativity, and vision remain uniquely ours. As we plan Season 26, we'll keep using AI as a brainstorming partner—while ensuring the heart of every episode comes from real conversations and lived experience. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Moving Forward – Releasing Past Mistakes Admitting Defeat – Moving Forward And Accepting The Loss Pivoting: How to Embrace Change and Fuel Your Professional Growth Planning For Growth – Give Your Changes Time To Take Hold The Developer Journey Videos – With Bonus Content Building Better Developers With AI Podcast Videos – With Bonus Content

In this episode, Belmont Head Coach Casey Alexander sits down with Slappin' Glass and breaks down his offensive philosophy, defensive evolution, and coaching journey. From assisted-basket strategies to player empowerment, Coach Alexander shares how three decades of culture and continuity shape Belmont basketball.Offensive Philosophy & EfficiencyAssisted Baskets: Nearly top-10% nationally, built on recruiting unselfish, high-IQ players who prioritize team offense over isolation.Ball Movement with Control: High passing volume paired with impressively low turnovers, thanks to system-oriented players.Pace & Tempo: Focuses on shot quality, not the clock; emphasizes quick transition opportunities whenever the defense isn't fully set. Runs a motion offense with freedom for players to break plays when advantages arise.Teaching Style: Concepts over DetailsConceptual Framework: Players learn broad principles, making reads in the flow of the game instead of memorizing plays.Player Empowerment: Every recruit gets the “green light,” fostering confidence and freedom from day one.Quality Shot Standards: Uses a unique “four-point shot” grading system in practice — shots only count if they meet strict criteria for rhythm, balance, and positioning.Recruiting & CulturePersonnel First: Success starts with finding the right offensive-minded, team-first players.Cultural Consistency: A 30-year standard of excellence, with a 3.5 team GPA and multiple Academic All-Americans.Flexibility in Recruitment: Willing to adapt for players with elite intangibles like toughness, competitiveness, and leadership.Defensive AdjustmentsLate-Season Turnaround: From bottom-third nationally to top-10 defense in the final five games, driven by greater physicality.Switching Philosophy: Shifted from over-switching (which bred passivity) to a system that demands initial defender engagement.Simplicity in the Gray Areas: Prioritizes communication, effort, and competitiveness over complex schemes.Coaching Development & ConnectionPlayer Relationships: Continuous growth focus, investing in personal connections and development.Direct Communication: Honest, demanding, but never manipulative.Career Foundation: 16 years under Hall of Fame coach Rick Byrd — patience and preparation that became his best investment.To join coaches and championship winning staffs from the NBA to High School from over 60 different countries taking advantage of an SG Plus membership, visit HERE!

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Get early access to Alex's next live-cohort courses!Enroll in the Causal AI workshop, to learn live with Alex (15% off if you're a Patron of the show)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Causal inference is crucial for understanding the impact of interventions in various fields.ChiRho is a causal probabilistic programming language that bridges mechanistic and data-driven models.ChiRho allows for easy manipulation of causal models and counterfactual reasoning.The design of ChiRho emphasizes modularity and extensibility for diverse applications.Causal inference requires careful consideration of assumptions and model structures.Real-world applications of causal inference can lead to significant insights in science and engineering.Collaboration and communication are key in translating causal questions into actionable models.The future of causal inference lies in integrating probabilistic programming with scientific discovery.Chapters:05:53 Bridging Mechanistic and Data-Driven Models09:13 Understanding Causal Probabilistic Programming12:10 ChiRho and Its Design Principles15:03 ChiRho's Functionality and Use Cases17:55 Counterfactual Worlds and Mediation Analysis20:47 Efficient Estimation in ChiRho24:08 Future Directions for Causal AI50:21 Understanding the Do-Operator in Causal Inference56:45 ChiRho's Role in Causal Inference and Bayesian Modeling01:01:36 Roadmap and Future Developments for ChiRho01:05:29 Real-World Applications of Causal Probabilistic Programming01:10:51 Challenges in Causal Inference Adoption01:11:50 The Importance of Causal Claims in Research01:18:11 Bayesian Approaches to Causal Inference01:22:08 Combining Gaussian Processes with Causal Inference01:28:27 Future Directions in Probabilistic Programming and Causal InferenceThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad...

Resistance bands can transform your calisthenics training—and in this video, I'll show you exactly how. From push-ups and dips to squats, lunges, and pull-ups, bands offer unique advantages over traditional weight vests or plates. They're cheaper, easier to travel with, faster to adjust, and incredibly versatile for both adding resistance and providing assistance on tough exercises.We'll break down: • Why bands are more economical and portable than weight vests • How to load resistance on push-ups, dips, and squats with simple band setups • Creative ways to use bands for unilateral leg training and core work • Assisted calisthenics variations (pull-ups, pistol squats, push-ups) • How to program band training for strength, hypertrophy, and enduranceWhether you're training at home, traveling, or just want more options in your workouts, bands give you the flexibility to build strength and muscle anywhere.

On this episode of The Federalist Radio Hour, Charles Camosy, professor of moral theology and bioethics at the Catholic University of America, joins Federalist Senior Elections Correspondent Matt Kittle to discuss a rise in physician-assisted killing and share what it means to live and die well while resisting "eugenic death culture." You can find Camosy's book Living and Dying Well: A Catholic Plan for Resisting Physician-Assisted Killing here. If you care about combating the corrupt media that continue to inflict devastating damage, please give a gift to help The Federalist do the real journalism America needs.