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Annaka Harris is the New York Times bestselling author of CONSCIOUS: A Brief Guide to the Fundamental Mystery of the Mind and writer and producer of the audio documentary series, LIGHTS ON. Her work has appeared in The New York Times, Nautilus Magazine, the Journal of Consciousness Studies, and IAI Magazine. She is also an editor and consultant for science writers, specializing in neuroscience and physics. In this episode, Robinson and Annaka discuss panpsychism and the case that consciousness is fundamental. More particularly, they talk about complexity and emergence, the relationship between consciousness and physics, and artificial intelligence.Lights On: https://a.co/d/cy8YTpdConscious: https://a.co/d/3uFZ2JqAnnaka's Website: https://annakaharris.comOUTLINE00:00 Introduction00:52 Annaka's Obsession with Consciousness06:09 How Should We Define Consciousness?13:06 Why the Complexity Might Not Explain Consciousness25:30 Is Consciousness Emergent or Fundamental?29:45 Are Fundamentalia Conscious?45:18 How Can Consciousness Solve Deep Problems of Physics?52:14 Consciousness and Quantum Entanglement01:00:11 Consciousness and the Many Worlds Theory of Quantum Mechanics01:10:50 What Does an Electron Feel?01:13:41 AI and Consciousness01:22:42 Science and the Fundamentality of ConsciousnessRobinson's Website: http://robinsonerhardt.comRobinson Erhardt researches symbolic logic and the foundations of mathematics at Stanford University, where he is also a JD candidate in the Law School.
HECHOS 10:3434 Entonces Pedro, abriendo la boca, dijo: En verdad comprendo que Dios no hace acepción de personas,Iglesia Bautista de Santa AnaPastor Ringo Ayalahttp://santaanabaptist.orgContactenos en: info@santaanabaptist.orgRecursos: https://payhip.com/ContendiendoPorlaFe
2 PEDRO 1:55 vosotros también, poniendo toda diligencia por esto mismo, añadid a vuestra fe virtud; a la virtud, conocimiento;Iglesia Bautista de Santa AnaPastor Ringo Ayalahttp://santaanabaptist.orgContactenos en: info@santaanabaptist.orgRecursos: https://payhip.com/ContendiendoPorlaFe
En el Consultorio de Bolsa con gerardoortega.es y victorgalanbolsa.com, Gerardo Ortega y Víctor Galán comentan la jornada bursátil y el sentimiento de mercado. Los expertos analizan los siguientes valores que plantean los oyentes: En la Pizarra del Consultorio de Bolsa con gerardoortega.es y victorgalanbolsa.com Sobre Gerardo Ortega Economista y Asesor Financiero certificado, Gerardo Ortega ha desarrollado su carrera profesional asesorando, principalmente y a nivel independiente a grandes patrimonios así como gestionando carteras a nivel institucional (Agencias de Valores). Actualmente y desde 2008 trabaja como analista independiente y responsable del portal financiero https://www.gerardoortega.es/ Colabora de forma exclusiva con CMC Markets desde 2010 como formador (entidad británica líder en intermediación de CFDs.) Ponente en cursos y seminarios sobre análisis y gestión en mercados financieros de diversas Universidades y Facultades de Ciencias Empresariales. Conferenciante habitual en las Ferias de mercados financieros en Madrid, Barcelona y Valencia. Ortega es un convencido del Análisis técnico independiente y de que los precios responden básicamente a las expectativas generadas por el mercado sobre los aspectos fundamentales y macro. Sobre Víctor Galán Analista cuantitativo y técnico. Desde hace casi una década en los mercados financieros. Enfocado en desarrollar estrategias y sistemas de trading. Formación en Trading, derivados (opciones) y macroeconomía. Fundador de Planeta Bolsa y de victorgalanbolsa.com. Apasionado del trading, Galán es licenciado en Económicas con varios postgrados en productos financieros. Destaca el realizado en el Instituto de Estudios Bursátiles de Tesorería. Galán se ha seguido formando en varios cursos más concretos de bolsa, donde ha ido profundizando conceptos sobre Análisis Técnico, Análisis Fundamental, Gestión de Capital y Psicología del Mercado. Los oyentes pueden mandarnos WhatsApp al teléfono 609 22 47 16. Si prefieren hablar directamente con los analistas y comentarles sus dudas, pueden contactarles en el número de teléfono 91 533 18 51.
SAN LUCAS 11:11 Aconteció que estaba Jesús orando en un lugar, y cuando terminó, uno de sus discípulos le dijo: Señor, enséñanos a orar, como también Juan enseñó a sus discípulos.Iglesia Bautista de Santa AnaPastor Ringo Ayalahttp://santaanabaptist.orgContactenos en: info@santaanabaptist.orgRecursos: https://payhip.com/ContendiendoPorlaFe
SALMOS 23:33 Confortará mi alma;Me guiará por sendas de justicia por amor de su nombre.Iglesia Bautista de Santa AnaPastor Ringo Ayalahttp://santaanabaptist.orgContactenos en: info@santaanabaptist.orgRecursos: https://payhip.com/ContendiendoPorlaFe
In this episode of A Common Concern, we discuss the meaning, scope and application of the human right to a clean, healthy and sustainable environment. This right has been recognised by the UN General Assembly and endorsed by the International Court of Justice and the Inter-American Court of Human Rights. Kate Cook is joined by environmental and human rights expert and former Head of Legal at Friends of the Earth, Gita Parihar, and by Sean O'Connell, the Global Focal Point on Environmental Justice at the UN Development Programme. Gita and Sean are currently engaged in developing a tool to assist national human rights institutions in ensuring that this right can be operated effectively. Ten years on from the adoption of the Paris Agreement, does this right provide a way to address the growing triple planetary crisis?
HECHOS 10:19-2019 Y mientras Pedro pensaba en la visión, le dijo el Espíritu: He aquí, tres hombres te buscan. 20 Levántate, pues, y desciende y no dudes de ir con ellos, porque yo los he enviado. Iglesia Bautista de Santa AnaPastor Ringo Ayalahttp://santaanabaptist.orgContactenos en: info@santaanabaptist.orgRecursos: https://payhip.com/ContendiendoPorlaFe
Ven, Sígueme 2025 - Para El Hogar y La IglesiaCapítulo 51: La Familia: Una Proclamación para el MundoLección asignada del 15 al 21 de diciembre de 2025“La familia es fundamental en el plan del Creador”Interprete-Lector: José Enrique Sánchez ThompsonEsto es un recurso de video creado como recurso de apoyo auditivo para personas con dificultades visuales de lectura o bien, para la comodidad de Audio-Escuchas.No es un recurso o video oficial de La Iglesia de Jesucristo de los Santos de los Últimos Días.'Ven Sígueme - Para El Hogar y La Iglesia' es un recurso de estudio oficial de La iglesia de Jesucristo de los Santos De Los Últimos Días, con propiedad Intelectual de sus respectivos autores. Para mayor información u obtener el manual o transcripción oficial, visite www.lds.org Música de Piano de fondo interpretada por Gustavo Sanchez DíazPara escuchar más música de él, visiten su canal en el siguiente enlace: https://bit.ly/2t7yGF8Favor de dar Like, Suscribirse y compartir el video con sus amigos y seres queridos o bien, aquellos que lo puedan necesitar para su estudio personalHablamos!
TLDR: It was Claude :-)When I set out to compare ChatGPT, Claude, Gemini, Grok, and ChatPRD for writing Product Requirement Documents, I figured they'd all be roughly equivalent. Maybe some subtle variations in tone or structure, but nothing earth-shattering. They're all built on similar transformer architectures, trained on massive datasets, and marketed as capable of handling complex business writing.What I discovered over 45 minutes of hands-on testing revealed not just which tools are better for PRD creation, but why they're better, and more importantly, how you should actually be using AI to accelerate your product work without sacrificing quality or strategic thinking.If you're an early or mid-career PM in Silicon Valley, this matters to you. Because here's the uncomfortable truth: your peers are already using AI to write PRDs, analyze features, and generate documentation. The question isn't whether to use these tools. The question is whether you're using the right ones most effectively.So let me walk you through exactly what I did, what I learned, and what you should do differently.The Setup: A Real-World Test CaseHere's how I structured the experiment. As I said at the beginning of my recording, “We are back in the Fireside PM podcast and I did that review of the ChatGPT browser and people seemed to like it and then I asked, uh, in a poll, I think it was a LinkedIn poll maybe, what should my next PM product review be? And, people asked for ChatPRD.”So I had my marching orders from the audience. But I wanted to make this more comprehensive than just testing ChatPRD in isolation. I opened up five tabs: ChatGPT, Claude, Gemini, Grok, and ChatPRD.For the test case, I chose something realistic and relevant: an AI-powered tutor for high school students. Think KhanAmigo or similar edtech platforms. This gave me a concrete product scenario that's complex enough to stress-test these tools but straightforward enough that I could iterate quickly.But here's the critical part that too many PMs get wrong when they start using AI for product work: I didn't just throw a single sentence at these tools and expect magic.The “Back of the Napkin” Approach: Why You Still Need to Think“I presume everybody agrees that you should have some formulated thinking before you dump it into the chatbot for your PRD,” I noted early in my experiment. “I suppose in the future maybe you could just do, like, a one-sentence prompt and come out with the perfect PRD because it would just know everything about you and your company in the context, but for now we're gonna do this more, a little old-school AI approach where we're gonna do some original human thinking.”This is crucial. I see so many PMs, especially those newer to the field, treat AI like a magic oracle. They type in “Write me a PRD for a social feature” and then wonder why the output is generic, unfocused, and useless.Your job as a PM isn't to become obsolete. It's to become more effective. And that means doing the strategic thinking work that AI cannot do for you.So I started in Google Docs with what I call a “back of the napkin” PRD structure. Here's what I included:Why: The strategic rationale. In this case: “Want to complement our existing edtech business with a personalized AI tutor, uh, want to maintain position industry, and grow through innovation. on mission for learners.”Target User: Who are we building for? “High school students interested in improving their grades and fundamentals. Fundamental knowledge topics. Specifically science and math. Students who are not in the top ten percent, nor in the bottom ten percent.”This is key—I got specific. Not just “students,” but students in the middle 80%. Not just “any subject,” but science and math. This specificity is what separates useful AI output from garbage.Problem to Solve: What's broken? “Students want better grades. Students are impatient. Students currently use AI just for finding the answers and less to, uh, understand concepts and practice using them.”Key Elements: The feature set and approach.Success Metrics: How we'd measure success.Now, was this a perfectly polished PRD outline? Hell no. As you can see from my transcript, I was literally thinking out loud, making typos, restructuring on the fly. But that's exactly the point. I put in maybe 10-15 minutes of human strategic thinking. That's all it took to create a foundation that would dramatically improve what came out of the AI tools.Round One: Generating the Full PRDWith my back-of-the-napkin outline ready, I copied it into each tool with a simple prompt asking them to expand it into a more complete PRD.ChatGPT: The Reliable GeneralistChatGPT gave me something that was... fine. Competent. Professional. But also deeply uninspiring.The document it produced checked all the boxes. It had the sections you'd expect. The writing was clear. But when I read it, I couldn't shake the feeling that I was reading something that could have been written for literally any product in any company. It felt like “an average of everything out there,” as I noted in my evaluation.Here's what ChatGPT did well: It understood the basic structure of a PRD. It generated appropriate sections. The grammar and formatting were clean. If you needed to hand something in by EOD and had literally no time for refinement, ChatGPT would save you from complete embarrassment.But here's what it lacked: Depth. Nuance. Strategic thinking that felt connected to real product decisions. When it described the target user, it used phrases that could apply to any edtech product. When it outlined success metrics, they were the obvious ones (engagement, retention, test scores) without any interesting thinking about leading indicators or proxy metrics.The problem with generic output isn't that it's wrong, it's that it's invisible. When you're trying to get buy-in from leadership or alignment from engineering, you need your PRD to feel specific, considered, and connected to your company's actual strategy. ChatGPT's output felt like it was written by someone who'd read a lot of PRDs but never actually shipped a product.One specific example: When I asked for success metrics, ChatGPT gave me “Student engagement rate, Time spent on platform, Test score improvement.” These aren't wrong, but they're lazy. They don't show any thinking about what specifically matters for an AI tutor versus any other educational product. Compare that to Claude's output, which got more specific about things like “concept mastery rate” and “question-to-understanding ratio.”Actionable Insight: Use ChatGPT when you need fast, serviceable documentation that doesn't need to be exceptional. Think: internal updates, status reports, routine communications. Don't rely on it for strategic documents where differentiation matters. If you do use ChatGPT for important documents, treat its output as a starting point that needs significant human refinement to add strategic depth and company-specific context.Gemini: Better Than ExpectedGoogle's Gemini actually impressed me more than I anticipated. The structure was solid, and it had a nice balance of detail without being overwhelming.What Gemini got right: The writing had a nice flow to it. The document felt organized and logical. It did a better job than ChatGPT at providing specific examples and thinking through edge cases. For instance, when describing the target user, it went beyond demographics to consider behavioral characteristics and motivations.Gemini also showed some interesting strategic thinking. It considered competitive positioning more thoughtfully than ChatGPT and proposed some differentiation angles that weren't in my original outline. Good AI tools should add insight, not just regurgitate your input with better formatting.But here's where it fell short: the visual elements. When I asked for mockups, Gemini produced images that looked more like stock photos than actual product designs. They weren't terrible, but they weren't compelling either. They had that AI-generated sheen that makes it obvious they came from an image model rather than a designer's brain.For a PRD that you're going to use internally with a team that already understands the context, Gemini's output would work well. The text quality is strong enough, and if you're in the Google ecosystem (Docs, Sheets, Meet, etc.), the integration is seamless. You can paste Gemini's output directly into Google Docs and continue iterating there.But if you need to create something compelling enough to win over skeptics or secure budget, Gemini falls just short. It's good, but not great. It's the solid B+ student: reliably competent but rarely exceptional.Actionable Insight: Gemini is a strong choice if you're working in the Google ecosystem and need good integration with Docs, Sheets, and other Google Workspace tools. The quality is sufficient for most internal documentation needs. It's particularly good if you're working with cross-functional partners who are already in Google Workspace. You can share and collaborate on AI-generated drafts without friction. But don't expect visual mockups that will wow anyone, and plan to add your own strategic polish for high-stakes documents.Grok: Not Ready for Prime TimeLet's just say my expectations were low, and Grok still managed to underdeliver. The PRD felt thin, generic, and lacked the depth you need for real product work.“I don't have high expectations for grok, unfortunately,” I said before testing it. Spoiler alert: my low expectations were validated.Actionable Insight: Skip Grok for product documentation work right now. Maybe it'll improve, but as of my testing, it's simply not competitive with the other options. It felt like 1-2 years behind the others.ChatPRD: The Specialized ToolNow this was interesting. ChatPRD is purpose-built for PRDs, using foundational models underneath but with specific tuning and structure for product documentation.The result? The structure was logical, the depth was appropriate, and it included elements that showed understanding of what actually matters in a PRD. As I reflected: “Cause this one feels like, A human wrote this PRD.”The interface guides you through the process more deliberately than just dumping text into a general chat interface. It asks clarifying questions. It structures the output more thoughtfully.Actionable Insight: If you're a technical lead without a dedicated PM, or you're a PM who wants a more structured approach to using AI for PRDs, ChatPRD is worth the specialized focus. It's particularly good when you need something that feels authentic enough to share with stakeholders without heavy editing.Claude: The Clear WinnerBut the standout performer, and I'm ranking these, was Claude.“I think we know that for now, I'm gonna say Claude did the best job,” I concluded after all the testing. Claude produced the most comprehensive, thoughtful, and strategically sound PRD. But what really set it apart were the concept mocks.When I asked each tool to generate visual mockups of the product, Claude produced HTML prototypes that, while not fully functional, looked genuinely compelling. They had thoughtful UI design, clear information architecture, and felt like something that could actually guide development.“They were, like, closer to, like, what a Lovable would produce or something like that,” I noted, referring to the quality of low-fidelity prototypes that good designers create.The text quality was also superior: more nuanced, better structured, and with more strategic depth. It felt like Claude understood not just what a PRD should contain, but why it should contain those elements.Actionable Insight: For any PRD that matters, meaning anything you'll share with leadership, use to get buy-in, or guide actual product development, you might as well start with Claude. The quality difference is significant enough that it's worth using Claude even if you primarily use another tool for other tasks.Final Rankings: The Definitive HierarchyAfter testing all five tools on multiple dimensions: initial PRD generation, visual mockups, and even crafting a pitch paragraph for a skeptical VP of Engineering, here's my final ranking:* Claude - Best overall quality, most compelling mockups, strongest strategic thinking* ChatPRD - Best for structured PRD creation, feels most “human”* Gemini - Solid all-around performance, good Google integration* ChatGPT - Reliable but generic, lacks differentiation* Grok - Not competitive for this use case“I'd probably say Claude, then chat PRD, then Gemini, then chat GPT, and then Grock,” I concluded.The Deeper Lesson: Garbage In, Garbage Out (Still Applies)But here's what matters more than which tool wins: the realization that hit me partway through this experiment.“I think it really does come down to, like, you know, the quality of the prompt,” I observed. “So if our prompt were a little more detailed, all that were more thought-through, then I'm sure the output would have been better. But as you can see we didn't really put in brain trust prompting here. Just a little bit of, kind of hand-wavy prompting, but a little better than just one or two sentences.”And we still got pretty good results.This is the meta-insight that should change how you approach AI tools in your product work: The quality of your input determines the quality of your output, but the baseline quality of the tool determines the ceiling of what's possible.No amount of great prompting will make Grok produce Claude-level output. But even mediocre prompting with Claude will beat great prompting with lesser tools.So the dual strategy is:* Use the best tool available (currently Claude for PRDs)* Invest in improving your prompting skills ideally with as much original and insightful human, company aware, and context aware thinking as possible.Real-World Workflows: How to Actually Use This in Your Day-to-Day PM WorkTheory is great. Here's how to incorporate these insights into your actual product management workflows.The Weekly Sprint Planning WorkflowEvery PM I know spends hours each week preparing for sprint planning. You need to refine user stories, clarify acceptance criteria, anticipate engineering questions, and align with design and data science. AI can compress this work significantly.Here's an example workflow:Monday morning (30 minutes):* Review upcoming priorities and open your rough notes/outline in Google Docs* Open Claude and paste your outline with this prompt:“I'm preparing for sprint planning. Based on these priorities [paste notes], generate detailed user stories with acceptance criteria. Format each as: User story, Business context, Technical considerations, Acceptance criteria, Dependencies, Open questions.”Monday afternoon (20 minutes):* Review Claude's output critically* Identify gaps, unclear requirements, or missing context* Follow up with targeted prompts:“The user story about authentication is too vague. Break it down into separate stories for: social login, email/password, session management, and password reset. For each, specify security requirements and edge cases.”Tuesday morning (15 minutes):* Generate mockups for any UI-heavy stories:“Create an HTML mockup for the login flow showing: landing page, social login options, email/password form, error states, and success redirect.”* Even if the HTML doesn't work perfectly, it gives your designers a starting pointBefore sprint planning (10 minutes):* Ask Claude to anticipate engineering questions:“Review these user stories as if you're a senior engineer. What questions would you ask? What concerns would you raise about technical feasibility, dependencies, or edge cases?”* This preparation makes you look thoughtful and helps the meeting run smoothlyTotal time investment: ~75 minutes. Typical time saved: 3-4 hours compared to doing this manually.The Stakeholder Alignment WorkflowGetting alignment from multiple stakeholders (product leadership, engineering, design, data science, legal, marketing) is one of the hardest parts of PM work. AI can help you think through different stakeholder perspectives and craft compelling communications for each.Here's how:Step 1: Map your stakeholders (10 minutes)Create a quick table in a doc:Stakeholder | Primary Concern | Decision Criteria | Likely Objections VP Product | Strategic fit, ROI | Company OKRs, market opportunity | Resource allocation vs other priorities VP Eng | Technical risk, capacity | Engineering capacity, tech debt | Complexity, unclear requirements Design Lead | User experience | User research, design principles | Timeline doesn't allow proper design process Legal | Compliance, risk | Regulatory requirements | Data privacy, user consent flowsStep 2: Generate stakeholder-specific communications (20 minutes)For each key stakeholder, ask Claude:“I need to pitch this product idea to [Stakeholder]. Based on this PRD, create a 1-page brief addressing their primary concern of [concern from your table]. Open with the specific value for them, address their likely objection of [objection], and close with a clear ask. Tone should be [professional/technical/strategic] based on their role.”Then you'll have customized one-pagers for your pre-meetings with each stakeholder, dramatically increasing your alignment rate.Step 3: Synthesize feedback (15 minutes)After gathering stakeholder input, ask Claude to help you synthesize:“I got the following feedback from stakeholders: [paste feedback]. Identify: (1) Common themes, (2) Conflicting requirements, (3) Legitimate concerns vs organizational politics, (4) Recommended compromises that might satisfy multiple parties.”This pattern-matching across stakeholder feedback is something AI does really well and saves you hours of mental processing.The Quarterly Planning WorkflowQuarterly or annual planning is where product strategy gets real. You need to synthesize market trends, customer feedback, technical capabilities, and business objectives into a coherent roadmap. AI can accelerate this dramatically.Six weeks before planning:* Start collecting input (customer interviews, market research, competitive analysis, engineering feedback)* Don't wait until the last minuteFour weeks before planning:Dump everything into Claude with this structure:“I'm creating our Q2 roadmap. Context:* Business objectives: [paste from leadership]* Customer feedback themes: [paste synthesis]* Technical capabilities/constraints: [paste from engineering]* Competitive landscape: [paste analysis]* Current product gaps: [paste from your analysis]Generate 5 strategic themes that could anchor our Q2 roadmap. For each theme:* Strategic rationale (how it connects to business objectives)* Key initiatives (2-3 major features/projects)* Success metrics* Resource requirements (rough estimate)* Risks and mitigations* Customer segments addressed”This gives you a strategic framework to react to rather than starting from a blank page.Three weeks before planning:Iterate on the most promising themes:“Deep dive on Theme 3. Generate:* Detailed initiative breakdown* Dependencies on platform/infrastructure* Phasing options (MVP vs full build)* Go-to-market considerations* Data requirements* Open questions requiring research”Two weeks before planning:Pressure-test your thinking:“Play devil's advocate on this roadmap. What are the strongest arguments against each initiative? What am I likely missing? What failure modes should I plan for?”This adversarial prompting forces you to strengthen weak points before your leadership reviews it.One week before planning:Generate your presentation:“Create an executive presentation for this roadmap. Structure: (1) Market context and strategic imperative, (2) Q2 themes and initiatives, (3) Expected outcomes and metrics, (4) Resource requirements, (5) Key risks and mitigations, (6) Success criteria for decision. Make it compelling but data-driven. Tone: confident but not overselling.”Then add your company-specific context, visual brand, and personal voice.The Customer Research WorkflowAI can't replace talking to customers, but it can help you prepare better questions, analyze feedback more systematically, and identify patterns faster.Before customer interviews:“I'm interviewing customers about [topic]. Generate:* 10 open-ended questions that avoid leading the witness* 5 follow-up questions for each main question* Common cognitive biases I should watch for* A framework for categorizing responses”This prep work helps you conduct better interviews.After interviews:“I conducted 15 customer interviews. Here are the key quotes: [paste anonymized quotes]. Identify:* Recurring themes and patterns* Surprising insights that contradict our assumptions* Segments with different needs* Implied needs customers didn't articulate directly* Recommended next steps for validation”AI is excellent at pattern-matching across qualitative data at scale.The Crisis Management WorkflowSomething broke. The site is down. Data was lost. A feature shipped with a critical bug. You need to move fast.Immediate response (5 minutes):“Critical incident. Details: [brief description]. Generate:* Incident classification (Sev 1-4)* Immediate stakeholders to notify* Draft customer communication (honest, apologetic, specific about what happened and what we're doing)* Draft internal communication for leadership* Key questions to ask engineering during investigation”Having these drafted in 5 minutes lets you focus on coordination and decision-making rather than wordsmithing.Post-incident (30 minutes):“Write a post-mortem based on this incident timeline: [paste timeline]. Include:* What happened (technical details)* Root cause analysis* Impact quantification (users affected, revenue impact, time to resolution)* What went well in our response* What could have been better* Specific action items with owners and deadlines* Process changes to prevent recurrence Tone: Blameless, focused on learning and improvement.”This gives you a strong first draft to refine with your team.Common Pitfalls: What Not to Do with AI in Product ManagementNow let's talk about the mistakes I see PMs making with AI tools. Pitfall #1: Treating AI Output as FinalThe biggest mistake is copy-pasting AI output directly into your PRD, roadmap presentation, or stakeholder email without critical review.The result? Documents that are grammatically perfect but strategically shallow. Presentations that sound impressive but don't hold up under questioning. Emails that are professionally worded but miss the subtext of organizational politics.The fix: Always ask yourself:* Does this reflect my actual strategic thinking, or generic best practices?* Would my CEO/engineering lead/biggest customer find this compelling and specific?* Are there company-specific details, customer insights, or technical constraints that only I know?* Does this sound like me, or like a robot?Add those elements. That's where your value as a PM comes through.Pitfall #2: Using AI as a Crutch Instead of a ToolSome PMs use AI because they don't want to think deeply about the product. They're looking for AI to do the hard work of strategy, prioritization, and trade-off analysis.This never works. AI can help you think more systematically, but it can't replace thinking.If you find yourself using AI to avoid wrestling with hard questions (”Should we build X or Y?” “What's our actual competitive advantage?” “Why would customers switch from the incumbent?”), you're using it wrong.The fix: Use AI to explore options, not to make decisions. Generate three alternatives, pressure-test each one, then use your judgment to decide. The AI can help you think through implications, but you're still the one choosing.Pitfall #3: Not IteratingGetting mediocre AI output and just accepting it is a waste of the technology's potential.The PMs who get exceptional results from AI are the ones who iterate. They generate an initial response, identify what's weak or missing, and ask follow-up questions. They might go through 5-10 iterations on a key section of a PRD.Each iteration is quick (30 seconds to type a follow-up prompt, 30 seconds to read the response), but the cumulative effect is dramatically better output.The fix: Budget time for iteration. Don't try to generate a complete, polished PRD in one prompt. Instead, generate a rough draft, then spend 30 minutes iterating on specific sections that matter most.Pitfall #4: Ignoring the Political and Human ContextAI tools have no understanding of organizational politics, interpersonal relationships, or the specific humans you're working with.They don't know that your VP of Engineering is burned out and skeptical of any new initiatives. They don't know that your CEO has a personal obsession with a specific competitor. They don't know that your lead designer is sensitive about not being included early enough in the process.If you use AI-generated communications without layering in this human context, you'll create perfectly worded documents that land badly because they miss the subtext.The fix: After generating AI content, explicitly ask yourself: “What human context am I missing? What relationships do I need to consider? What political dynamics are in play?” Then modify the AI output accordingly.Pitfall #5: Over-Relying on a Single ToolDifferent AI tools have different strengths. Claude is great for strategic depth, ChatPRD is great for structure, Gemini integrates well with Google Workspace.If you only ever use one tool, you're missing opportunities to leverage different strengths for different tasks.The fix: Keep 2-3 tools in your toolkit. Use Claude for important PRDs and strategic documents. Use Gemini for quick internal documentation that needs to integrate with Google Docs. Use ChatPRD when you want more guided structure. Match the tool to the task.Pitfall #6: Not Fact-Checking AI OutputAI tools hallucinate. They make up statistics, misrepresent competitors, and confidently state things that aren't true. If you include those hallucinations in a PRD that goes to leadership, you look incompetent.The fix: Fact-check everything, especially:* Statistics and market data* Competitive feature claims* Technical capabilities and limitations* Regulatory and compliance requirementsIf the AI cites a number or makes a factual claim, verify it independently before including it in your document.The Meta-Skill: Prompt Engineering for PMsLet's zoom out and talk about the underlying skill that makes all of this work: prompt engineering.This is a real skill. The difference between a mediocre prompt and a great prompt can be 10x difference in output quality. And unlike coding or design, where there's a steep learning curve, prompt engineering is something you can get good at quickly.Principle 1: Provide Context Before InstructionsBad prompt:“Write a PRD for an AI tutor”Good prompt:“I'm a PM at an edtech company with 2M users, primarily high school students. We're exploring an AI tutor feature to complement our existing video content library and practice problems. Our main competitors are Khan Academy and Course Hero. Our differentiation is personalized learning paths based on student performance data.Write a PRD for an AI tutor feature targeting students in the middle 80% academically who struggle with science and math.”The second prompt gives Claude the context it needs to generate something specific and strategic rather than generic.Principle 2: Specify Format and ConstraintsBad prompt:“Generate success metrics”Good prompt:“Generate 5-7 success metrics for this feature. Include a mix of:* Leading indicators (early signals of success)* Lagging indicators (definitive success measures)* User behavior metrics* Business impact metricsFor each metric, specify: name, definition, target value, measurement method, and why it matters.”The structure you provide shapes the structure you get back.Principle 3: Ask for Multiple OptionsBad prompt:“What should our Q2 priorities be?”Good prompt:“Generate 3 different strategic approaches for Q2:* Option A: Focus on user acquisition* Option B: Focus on engagement and retention* Option C: Focus on monetizationFor each option, detail: key initiatives, expected outcomes, resource requirements, risks, and recommendation for or against.”Asking for multiple options forces the AI (and forces you) to think through trade-offs systematically.Principle 4: Specify Audience and ToneBad prompt:“Summarize this PRD”Good prompt:“Create a 1-paragraph summary of this PRD for our skeptical VP of Engineering. Tone: Technical, concise, addresses engineering concerns upfront. Focus on: technical architecture, resource requirements, risks, and expected engineering effort. Avoid marketing language.”The audience and tone specification ensures the output will actually work for your intended use.Principle 5: Use Iterative RefinementDon't try to get perfect output in one prompt. Instead:First prompt: Generate rough draft Second prompt: “This is too generic. Add specific examples from [our company context].” Third prompt: “The technical section is weak. Expand with architecture details and dependencies.” Fourth prompt: “Good. Now make it 30% more concise while keeping the key details.”Each iteration improves the output incrementally.Let me break down the prompting approach that worked in this experiment, because this is immediately actionable for your work tomorrow.Strategy 1: The Structured Outline ApproachDon't go from zero to full PRD in one prompt. Instead:* Start with strategic thinking - Spend 10-15 minutes outlining why you're building this, who it's for, and what problem it solves* Get specific - Don't say “users,” say “high school students in the middle 80% of academic performance”* Include constraints - Budget, timeline, technical limitations, competitive landscape* Dump your outline into the AI - Now ask it to expand into a full PRD* Iterate section by section - Don't try to perfect everything at onceThis is exactly what I did in my experiment, and even with my somewhat sloppy outline, the results were dramatically better than they would have been with a single-sentence prompt.Strategy 2: The Comparative Analysis PatternOne technique I used that worked particularly well: asking each tool to do the same specific task and comparing results.For example, I asked all five tools: “Please compose a one paragraph exact summary I can share over DM with a highly influential VP of engineering who is generally a skeptic but super smart.”This forced each tool to synthesize the entire PRD into a compelling pitch while accounting for a specific, challenging audience. The variation in quality was revealing—and it gave me multiple options to choose from or blend together.Actionable tip: When you need something critical (a pitch, an executive summary, a key decision framework), generate it with 2-3 different AI tools and take the best elements from each. This “ensemble approach” often produces better results than any single tool.Strategy 3: The Iterative Refinement LoopDon't treat the AI output as final. Use it as a first draft that you then refine through conversation with the AI.After getting the initial PRD, I could have asked follow-up questions like:* “What's missing from this PRD?”* “How would you strengthen the success metrics section?”* “Generate 3 alternative approaches to the core feature set”Each iteration improves the output and, more importantly, forces me to think more deeply about the product.What This Means for Your CareerIf you're an early or mid-career PM reading this, you might be thinking: “Great, so AI can write PRDs now. Am I becoming obsolete?”Absolutely not. But your role is evolving, and understanding that evolution is critical.The PMs who will thrive in the AI era are those who:* Excel at strategic thinking - AI can generate options, but you need to know which options align with company strategy, customer needs, and technical feasibility* Master the art of prompting - This is a genuine skill that separates mediocre AI users from exceptional ones* Know when to use AI and when not to - Some aspects of product work benefit enormously from AI. Others (user interviews, stakeholder negotiation, cross-functional relationship building) require human judgment and empathy* Can evaluate AI output critically - You need to spot the hallucinations, the generic fluff, and the strategic misalignments that AI inevitably producesThink of AI tools as incredibly capable interns. They can produce impressive work quickly, but they need direction, oversight, and strategic guidance. Your job is to provide that guidance while leveraging their speed and breadth.The Real-World Application: What to Do Monday MorningLet's get tactical. Here's exactly how to apply these insights to your actual product work:For Your Next PRD:* Block 30 minutes for strategic thinking - Write your back-of-the-napkin outline in Google Docs or your tool of choice* Open Claude (or ChatPRD if you want more structure)* Copy your outline with this prompt:“I'm a product manager at [company] working on [product area]. I need to create a comprehensive PRD based on this outline. Please expand this into a complete PRD with the following sections: [list your preferred sections]. Make it detailed enough for engineering to start breaking down into user stories, but concise enough for leadership to read in 15 minutes. [Paste your outline]”* Review the output critically - Look for generic statements, missing details, or strategic misalignments* Iterate on specific sections:“The success metrics section is too vague. Please provide 3-5 specific, measurable KPIs with target values and explanation of why these metrics matter.”* Generate supporting materials:“Create a visual mockup of the core user flow showing the key interaction points.”* Synthesize the best elements - Don't just copy-paste the AI output. Use it as raw material that you shape into your final documentFor Stakeholder Communication:When you need to pitch something to leadership or engineering:* Generate 3 versions of your pitch using different tools (Claude, ChatPRD, and one other)* Compare them for:* Clarity and conciseness* Strategic framing* Compelling value proposition* Addressing likely objections* Blend the best elements into your final version* Add your personal voice - This is crucial. AI output often lacks personality and specific company context. Add that yourself.For Feature Prioritization:AI tools can help you think through trade-offs more systematically:“I'm deciding between three features for our next release: [Feature A], [Feature B], and [Feature C]. For each feature, analyze: (1) Estimated engineering effort, (2) Expected user impact, (3) Strategic alignment with making our platform the go-to solution for [your market], (4) Risk factors. Then recommend a prioritization with rationale.”This doesn't replace your judgment, but it forces you to think through each dimension systematically and often surfaces considerations you hadn't thought of.The Uncomfortable Truth About AI and Product ManagementLet me be direct about something that makes many PMs uncomfortable: AI will make some PM skills less valuable while making others more valuable.Less valuable:* Writing boilerplate documentation* Creating standard frameworks and templates* Generating routine status updates* Synthesizing information from existing sourcesMore valuable:* Strategic product vision and roadmapping* Deep customer empathy and insight generation* Cross-functional leadership and influence* Critical evaluation of options and trade-offs* Creative problem-solving for novel situationsIf your PM role primarily involves the first category of tasks, you should be concerned. But if you're focused on the second category while leveraging AI for the first, you're going to be exponentially more effective than your peers who resist these tools.The PMs I see succeeding aren't those who can write the best PRD manually. They're those who can write the best PRD with AI assistance in one-tenth the time, then use the saved time to talk to more customers, think more deeply about strategy, and build stronger cross-functional relationships.Advanced Techniques: Beyond Basic PRD GenerationOnce you've mastered the basics, here are some advanced applications I've found valuable:Competitive Analysis at Scale“Research our top 5 competitors in [market]. For each one, analyze: their core value proposition, key features, pricing strategy, target customer, and likely product roadmap based on recent releases and job postings. Create a comparison matrix showing where we have advantages and gaps.”Then use web search tools in Claude or Perplexity to fact-check and expand the analysis.Scenario Planning“We're considering three strategic directions for our product: [Direction A], [Direction B], [Direction C]. For each direction, map out: likely customer adoption curve, required technical investments, competitive positioning in 12 months, and potential pivots if the hypothesis proves wrong. Then identify the highest-risk assumptions we should test first for each direction.”This kind of structured scenario thinking is exactly what AI excels at—generating multiple well-reasoned perspectives quickly.User Story GenerationAfter your PRD is solid:“Based on this PRD, generate a complete set of user stories following the format ‘As a [user type], I want to [action] so that [benefit].' Include acceptance criteria for each story. Organize them into epics by functional area.”This can save your engineering team hours of grooming meetings.The Tools Will Keep Evolving. Your Process Shouldn'tHere's something important to remember: by the time you read this, the specific rankings might have shifted. Maybe ChatGPT-5 has leapfrogged Claude. Maybe a new specialized tool has emerged.But the core principles won't change:* Do strategic thinking before touching AI* Use the best tool available for your specific task* Iterate and refine rather than accepting first outputs* Blend AI capabilities with human judgment* Focus your time on the uniquely human aspects of product managementThe specific tools matter less than your process for using them effectively.A Final Experiment: The Skeptical VP TestI want to share one more insight from my testing that I think is particularly relevant for early and mid-career PMs.Toward the end of my experiment, I gave each tool this prompt: “Please compose a one paragraph exact summary I can share over DM with a highly influential VP of engineering who is generally a skeptic but super smart.”This is such a realistic scenario. How many times have you needed to pitch an idea to a skeptical technical leader via Slack or email? Someone who's brilliant, who's seen a thousand product ideas fail, and who can spot b******t from a mile away?The quality variation in the responses was fascinating. ChatGPT gave me something that felt generic and safe. Gemini was better but still a bit too enthusiastic. Grok was... well, Grok.But Claude and ChatPRD both produced messages that felt authentic, technically credible, and appropriately confident without being overselling. They acknowledged the engineering challenges while framing the opportunity compellingly.The lesson: When the stakes are high and the audience is sophisticated, the quality of your AI tool matters even more. That skeptical VP can tell the difference between a carefully crafted message and AI-generated fluff. So can your CEO. So can your biggest customers.Use the best tools available, but more importantly, always add your own strategic thinking and authentic voice on top.Questions to Consider: A Framework for Your Own ExperimentsAs I wrapped up my Loom, I posed some questions to the audience that I'll pose to you:“Let me know in the comments, if you do your PRDs using AI differently, do you start with back of the envelope? Do you say, oh no, I just start with one sentence, and then I let the chatbot refine it with me? Or do you go way more detailed and then use the chatbot to kind of pressure test it?”These aren't rhetorical questions. Your answer reveals your approach to AI-augmented product work, and different approaches work for different people and contexts.For early-career PMs: I'd recommend starting with more detailed outlines. The discipline of thinking through your product strategy before touching AI will make you a stronger PM. You can always compress that process later as you get more experienced.For mid-career PMs: Experiment with different approaches for different types of documents. Maybe you do detailed outlines for major feature PRDs but use more iterative AI-assisted refinement for smaller features or updates. Find what optimizes your personal productivity while maintaining quality.For senior PMs and product leaders: Consider how AI changes what you should expect from your PM team. Should you be reviewing more AI-generated first drafts and spending more time on strategic guidance? Should you be training your team on effective AI usage? These are leadership questions worth grappling with.The Path Forward: Continuous ExperimentationMy experiment with these five AI tools took 45 minutes. But I'm not done experimenting.The field of AI-assisted product management is evolving rapidly. New tools launch monthly. Existing tools get smarter weekly. Prompting techniques that work today might be obsolete in three months.Your job, if you want to stay at the forefront of product management, is to continuously experiment. Try new tools. Share what works with your peers. Build a personal knowledge base of effective prompts and workflows. And be generous with what you learn. The PM community gets stronger when we share insights rather than hoarding them.That's why I created this Loom and why I'm writing this post. Not because I have all the answers, but because I'm figuring it out in real-time and want to share the journey.A Personal Note on Coaching and ConsultingIf this kind of practical advice resonates with you, I'm happy to work with you directly.Through my pm coaching practice, I offer 1:1 executive, career, and product coaching for PMs and product leaders. We can dig into your specific challenges: whether that's leveling up your AI workflows, navigating a career transition, or developing your strategic product thinking.I also work with companies (usually startups or incubation teams) on product strategy, helping teams figure out PMF for new explorations and improving their product management function.The format is flexible. Some clients want ongoing coaching, others prefer project-based consulting, and some just want a strategic sounding board for a specific decision. Whatever works for you.Reach out through tomleungcoaching.com if you're interested in working together.OK. Enough pontificating. Let's ship greatness. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit firesidepm.substack.com
The sermon centers on the theological significance of Israel's restoration as a fulfillment of divine prophecy, emphasizing that God's faithfulness to His promises to Israel underscores the reliability of His word for the Church. Drawing from Exodus, Jeremiah, Ezekiel, and Romans, the preacher argues that anti-Semitism throughout history, including modern hostility, paradoxically fulfills biblical patterns of scattering and gathering, demonstrating God's enduring covenant with Israel. The missionary context in Papua New Guinea serves as a living illustration: by witnessing the return of Jewish people to Israel, the preacher strengthens the credibility of the gospel, showing that God's promises are not only true but actively being fulfilled. The message calls believers to stand with Israel not merely as a political or humanitarian act, but as a testimony to God's unchanging faithfulness, which in turn reinforces trust in the gospel's eternal promises. Ultimately, the sermon affirms that God's heart remains perpetually with Israel, and His faithfulness to them guarantees His faithfulness to all who call upon His name.
This sermon presents a biblically grounded, practical framework for understanding insurance not merely as a financial product but as an expression of stewardship and trust in God's provision. It emphasizes that insurance is a wise tool for managing risk and protecting assets, family, and long-term financial peace, especially in a world where unexpected events can quickly deplete savings. The speaker outlines eight essential types of insurance—health, auto, renter's, homeowner's, life, disability, umbrella, and long-term care—explaining their purpose, recommended coverage levels, and how they align with responsible financial planning, particularly in light of one's life stage, net worth, and dependence on income. While cautioning against underinsuring due to cost concerns, the sermon advocates for term life insurance over cash-value policies, promotes adequate liability protection, and highlights the importance of planning for future needs like long-term care, all while stressing that true security ultimately rests in faith in God's provision, not in human systems alone.
The sermon centers on the profound theological truth that salvation is not earned by human worthiness but is a divine gift extended to the humble and unworthy, illustrated through the story of shepherds who, despite their lowly status, were chosen to witness Christ's birth. It emphasizes that God's grace is sovereign—He qualifies the undeserving, gives clear direction through Scripture, and calls believers to immediate obedience, as the shepherds did when they rushed to find the infant Messiah. The message calls Christians to live with boldness and joy, sharing the gospel with urgency, as the shepherds did, because the good news of Jesus Christ is both life-altering and worth proclaiming. Rooted in passages like Romans 3 and Ephesians 2, it affirms that salvation is by grace through faith, not works, and urges believers to embrace simplicity, trust, and testimony in their walk with God.
La ministra de Agricultura, Martha Carvajalino, destacó el papel fundamental que desempeña el sector agropecuario en la economía nacional. El agro se ha consolidado como uno de los motores clave para el crecimiento económico y la producción de alimentos.
John talks about the epic failures by Trump lackies to accomplish many of his tasks including a federal judge ordering Kilmar Abrego Garcia released from federal detention and Trump's redistricting plan for Indiana being soundly rejected by a bipartisan majority in the state house. Then, he chats with Democratic Strategist Max Burns on the Senate rejected both the Democrat AND Republican healthcare bills, and Trump's newest war with Venezuela. Then finally, John jokes with comedian Tara Dublin on the chaotic mishaps in the news and they take calls from the Evil Army of the Night on how to navigate the mayhem of Trumpland.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
If you can master these simple health principles, your health and your life will improve dramatically. You'll have more energy, sleep better, feel stronger, move better, have less inflammation, better moods, better sex and you'll even think clearer. That's because these foundations are the mandatory requirements for any diet, health protocol, exercise program, or lifestyle routine to be successful. TOPICS DISCUSSED IN THIS EPISODE: Why nature beats technology Fundamental health principles to underscore your whole life Introducing the concept of hybrid athleticism Bodybuilding culture vs modern biohacking Peptides for healing your body, joints and tissues Evironmental toxins (EMFs, wifi, air quality, modern toxins, etc.) Optimizing training styles for your exercise routine longevity, hormone optimization More from Kris Gethin: Instagram: @krisgethin Website: krisgethin.com YouTube: @krisgethin Leave us a Review: https://www.reversablepod.com/review Need help with your gut? Visit my website gutsolution.ca to join a program: Get help now Contact us: reversablepod.com/tips FIND ME ON SOCIAL MEDIA: Instagram Facebook YouTube
s of the Hubble Constant — Bob Zimmerman — Zimmerman outlines a fundamental crisis in cosmological understanding regarding the Hubble constant, the astronomical parameter measuring the rate at which the universe is systematically expanding across time and space. Zimmerman documents that the measurement crisis stems from irreducible conflicting empirical data: when astronomers measure the early universe using distant supernovae and cosmic microwave background radiation, they derive a lower expansion rate number, yet when they measure the near universeusing contemporary observations of local galactic clusters, they derive a significantly higher expansion rate number. Zimmerman emphasizes that this discrepancy does not result from imprecise or unreliable data; rather, both measurement methodologies have become increasingly sophisticated and accurate, yet the fundamental contradiction persists despite technological improvements. Zimmerman argues that the persistent contradiction between two highly accurate but incompatible numerical values indicates that "something is fundamentally wrong with the cosmology and the theories," suggesting that current scientific understanding of the Big Bang, cosmic evolution, and the universe's fundamental physical properties contains critical errors requiring radical theoretical revision. Zimmerman employs an analogy: if measuring a child's growth rate during their first year of life predicted they should be 4 feet tall, but contemporary measurement reveals them to be 5 feet tall, and both measurements are perfectly accurate, then the mathematical formula governing human growth is fundamentally flawed—similarly, the Hubble constant contradiction suggests current cosmological models misunderstand the universe's fundamental physics and evolutionary trajectory. AUGUST 1958
Pastor Mike Ray
Some laws were made to be broken! So, has silver cracked the fundamental relationship between price and demand? It appears that way, as silver demand is increasing even as the price skyrockets. In this episode of the Midweek Memo podcast, host Mike Maharrey explains this apparent break in fundamental laws of supply and demand and explores whether silver is what is known as a Giffen good. If so, it could signal even more explosive upside for the silver price in the months ahead. Mike also covers the recent resurgence in central bank gold buying.
The sermon centers on the biblical imperative to add patience to one's faith, presenting it not as passive endurance but as a dynamic, God-ordained virtue essential for spiritual maturity. Drawing from 2 Peter 1:5–9, it emphasizes that patience—defined as cheerful endurance and long-suffering—is cultivated through tribulation, trials, and suffering, and is exemplified in the lives of biblical figures like Job, Abraham, Paul and Silas, and Stephen, as well as in the ministry of Christ Himself. The message underscores that patience is not merely a personal trait but a divine requirement for ministers, saints, and all believers, enabling effective service, perseverance in prayer, endurance amid persecution, and faithful anticipation of Christ's return. Ultimately, patience is portrayed as a necessary, deliberate growth process that, when embraced, leads to spiritual completeness and divine fruitfulness, fulfilling God's purpose for the believer's life.
SALMOS 119:127127 Por eso he amado tus mandamientosMás que el oro, y más que oro muy puro.Iglesia Bautista de Santa AnaPastor Ringo Ayalahttp://santaanabaptist.orgContactenos en: info@santaanabaptist.orgRecursos: https://payhip.com/ContendiendoPorlaFe
In this episode, Court lays out a practical foundation of photography “rules” — not as rigid constraints, but as dependable starting points. These principles show up again and again because they work: they help you handle light, composition, focus, and technical settings with more confidence. Once you understand them, you can follow them when they serve the image, and break them deliberately when the scene calls for something different. The goal is simple: more intentionality, and better photographs in the field.The 14 Fundamental Rules of PhotographyFocus on the eyes.Use the rule of thirds.Follow the inverse focal length rule for handholding.Prioritize side lighting.Shoot during golden hour.Compose with odd numbers of subjects.Keep horizons straight.Include foreground, mid-ground, and background.Expose for the highlights.Leave space in the direction your subject is looking (eye-line rule).Avoid lines cutting through faces/heads (face-and-line rule).Use the 500 rule for astrophotography.Create subject/background separation.Simplify the frameCourt's Websites Check out Court's photo portfolio here: shop.courtwhelan.com Sign up for Court's photo, conservation and travel blog at www.courtwhelan.com Follow Court on YouTube (@courtwhelan) for more photography tips View Court's personal and recommended camera gear Sponsors and Promo Codes: ArtStorefronts.com - Mention this podcast for free photo website design. BayPhoto.com - 25% your first order (code: TWP25) LensRentals.com - WildPhoto15 for 15% off ShimodaDesigns.com - Whelan10 for 10% off Arthelper.Ai - Mention this podcast for a 6 month free trial of Pro Version
SALMOS 23:1-21 Jehová es mi pastor; nada me faltará.2 En lugares de delicados pastos me hará descansar;Junto a aguas de reposo me pastoreará.Iglesia Bautista de Santa AnaPastor Ringo Ayalahttp://santaanabaptist.orgContactenos en: info@santaanabaptist.orgRecursos: https://payhip.com/ContendiendoPorlaFe
Welcome to the ninety-sixth episode of Through A Glass Darkly Radio with Sean Patrick Hazlett! For this episode, we will explore the structure undergirding the fundamental nature of reality. Do not miss this amazing episode! Intro: "Mark of the Doomslayer" by Karl Casey @ White Bat Audio Copyright © 2025 Through a Glass Darkly Radio with Sean Patrick Hazlett. All rights reserved.
Welcome to the ninety-sixth episode of Through A Glass Darkly Radio with Sean Patrick Hazlett! For this episode, we will explore the structure undergirding the fundamental nature of reality. Do not miss this amazing episode! Want to create live streams like this? Check out StreamYard: https://streamyard.com/pal/5421755367161856 Intro: "Mark of the Doomslayer" by Karl Casey @ White Bat Audio Copyright © 2025 Through a Glass Darkly Radio with Sean Patrick Hazlett. All rights reserved.
N424 - ADA 2025 - Você monitora o cardio no DM1? Entenda por que isso é fundamental! - Cristina Façanha, Márcio Krakauer e Fernando Valente by SBD
Este lunes 8 de diciembre hablamos de los retos emocionales y técnicos de los intérpretes, una profesión fundamental en nuestra sociedad multicultural. Además, conversamos con las creadoras de un karaoke latino que busca crear lazos y combatir la soledad. Y te contamos lo que está ocurriendo con el concurso Eurovisión.
This sermon presents a biblically grounded, practical case for prioritizing retirement savings as a form of faithful stewardship, emphasizing that planning for the future is not a lack of trust in God's provision but a responsible use of the resources He provides through labor and wisdom. Drawing from key Scripture passages—Matthew 25's parables of the wise and foolish virgins and the talents, 1 Timothy 5:8 on caring for one's household, and Ecclesiastes 7:11–12 on wisdom and wealth—the preacher illustrates that financial foresight, investing, and disciplined saving are consistent with biblical principles of prudence, responsibility, and care for others. The central teaching is that consistently investing 15% of one's income in tax-advantaged accounts, particularly through diversified growth stock mutual funds, can yield a sustainable, lifelong income through compound growth, with historical evidence showing the stock market's long-term reliability despite short-term volatility. The message is especially urgent for younger listeners, who can leverage time to build substantial wealth with modest contributions, while older individuals are encouraged not to despair, as meaningful progress is still possible with disciplined action. Ultimately, the sermon calls believers to view retirement planning not as a worldly pursuit but as a spiritual discipline of faithfulness, preparation, and love for family and future generations.
The sermon centers on the transformative power of God's great exchange—where Christ trades His divine riches, joy, peace, love, and life for humanity's poverty, sorrow, trouble, hatred, and death. Drawing from personal testimony of a call to ministry, years of struggle, and faith-filled service in Cambodia, the preacher illustrates how God's grace redefines value, purpose, and hope. Anchored in Scripture—particularly Mark 8:36, 2 Corinthians 8:9, John 16:20, and Romans 5:8—the message emphasizes that true fulfillment comes not from worldly gain but from surrendering to Christ's redemptive exchange. The preacher calls believers to respond with wholehearted devotion, living sacrifices of service, joy, and evangelism, recognizing that every life is a mission field and every moment an opportunity to reflect God's eternal worth. The tone is deeply pastoral, convicting, and hopeful, urging listeners to embrace God's provision, reject selfishness, and actively share the gospel with urgency and love.
The sermon centers on the transformative power of surrounding oneself with wisdom, drawing from Proverbs 13:20 and the story of the Magi in Matthew 2 to emphasize four key truths: Jesus is for everyone, transcending ethnic and cultural boundaries; Jesus is worthy of worship, demanding a reverent and heartfelt response; Jesus deserves the best, calling believers to offer their lives as living sacrifices; and Jesus directs the follower, guiding those who actively listen and obey His Word. Through vivid imagery and urgent pastoral appeal, the message challenges listeners to prioritize Scripture, reject worldly distractions, and live with intentional devotion, urging a personal, transformative encounter with Christ that reshapes identity, worship, and daily conduct.
El pasado 27 de noviembre, miles de personas se manifestaban en Madrid a favor de la Universidad pública. "Gobierne quien gobierne, la uni se defiende" fue uno de los lemas coreados. En un momento delicado para estos centros educativos, nos acompañan en El ojo crítico fin de semana el decano de Matemáticas de la Universidad Complutense, Antonio Bru, la profesora y portavoz de las universidades públicas madrileñas Eva Aladro y el diputado de la Asamblea de Madrid Pablo Posse. Escuchar audio
Two Jamaican musicians are making a bold claim. They say they invented the now-ubiquitous reggaeton beat on a specific track in 1989. They're suing some of the genre's biggest stars for billions in royalties. But we found someone who’s telling a very different origin story. Hold onto your headphones as we dive into the mystery behind one of the most influential beats in modern music. * On the Very Special Episodes podcast, we tell one incredible story each week. Follow us down a different rabbit hole every Wednesday. See omnystudio.com/listener for privacy information.
Two Jamaican musicians are making a bold claim. They say they invented the now-ubiquitous reggaeton beat on a specific track in 1989. They're suing some of the genre's biggest stars for billions in royalties. But we found someone who’s telling a very different origin story. Hold onto your headphones as we dive into the mystery behind one of the most influential beats in modern music. * On the Very Special Episodes podcast, we tell one incredible story each week. Follow Zaron Burnett and Dana Schwartz down a different rabbit hole every Wednesday. See omnystudio.com/listener for privacy information.
This week on Black on Black Cinema, the crew returns to announce the next film to be reviewed, "On Becoming a Guinea Fowl." The film starts on an empty road in the middle of the night, where Shula stumbles across the body of her uncle. As funeral proceedings begin around them, she and her cousins bring to light the buried secrets of their middle-class Zambian family. The random topic of the week is all about Juelz Santana's comments on kids not needing to know how to read in the modern era and that it is somehow more important to know how to start a business instead. The host discuss the levels of anti-intellectualism that is within these ideas and why we as a community need to push back on them hard.
What are the core doctrines Christians must never compromise—and why are they under attack today? In this episode of the Bible and Theology Matters podcast, Dr. Paul Weaver interviews Dr. David Geisler, son of the late Dr. Norman Geisler, to discuss the newly expanded edition of Conviction Without Compromise by Dr. Norman Geisler and Ron Rhodes.Together they explore:✔ The 15 essential doctrines that define historic Christian orthodoxy✔ Why Geisler and Rhodes wrote Conviction Without Compromise✔ The alarming theological confusion in today's church ✔ How the International Council on Biblical Inerrancy (ICBI) and the Chicago Statement shaped modern evangelicalism✔ Why biblical inerrancy is the foundation of every major Christian doctrine ✔ How to identify teachings that logically undermine Scripture✔ Dr. Geisler's legacy in apologetics, philosophy, and Christian thought✔ The importance of standing firm with conviction, yet responding with charity✔ Encouragement for pastors and believers pressured to compromise biblical truthDr. David Geisler also shares insights about:• The Unqualified Movie—the documentary on his father's life and influence• His father's journey from being “almost illiterate at 17” to becoming one of the most influential apologists of the past century• Why today's church desperately needs clarity on essentials, non-essentials, and charity in all thingsIf you care about apologetics, Christian doctrine, the authority of Scripture, or the legacy of Dr. Norman Geisler, this conversation will strengthen your convictions and deepen your understanding of biblical truth.
On This Week at Charlestown Road, Jason and Roger revisit Sunday morning’s sermon, “Thankful For What Has Been Found,” digging deeper into four fundamental choices disciples of Jesus must make, and continue to make.
Two Jamaican musicians are making a bold claim. They say they invented the now-ubiquitous reggaeton beat on a specific track in 1989. They're suing some of the genre's biggest stars for billions in royalties. But we found someone who’s telling a very different origin story. Hold onto your headphones as we dive into the mystery behind one of the most influential beats in modern music. * On the Very Special Episodes podcast, we tell one incredible story each week. Follow us down a different rabbit hole every Wednesday. Hosted by Zaron Burnett, Dana Schwartz, and Jason EnglishWritten by Dave RoosSenior Producer is Josh FisherEditing and Sound Design by Jonathan WashingtonMixing and Mastering by Baheed FrazierResearch and Fact-Checking by Austin Thompson, Dave Roos, and Zaron BurnettOriginal Music by Elise McCoy and Jonathan WashingtonShow Logo by Lucy QuintanillaSocial Clips by Yarberry MediaExecutive Producer is Jason English Got a question for Dana, Zaron, and Jason? Hit us up at veryspecialepisodes@gmail.com. See omnystudio.com/listener for privacy information.
Get-It-Done Guy's Quick and Dirty Tips to Work Less and Do More
874. In a world defined by change, what are the human elements of work that remain constant? We look at this question with JP Elliot, founder of Future of HR Consulting. He identifies the three fundamental needs employees will always demand from their work experience: to get along, get ahead, and find meaning. Learn why anchoring your leadership strategy on these principles is the key to creating an engaged, high-performing team, regardless of technological shifts like AI. Modern Mentor is hosted by Rachel Cooke. A transcript is available at Simplecast.Have a question for Modern Mentor? Email us at modernmentor@quickanddirtytips.com.Find Modern Mentor on Facebook, Twitter, and LinkedIn, or subscribe to the newsletter to get more tips to fuel your professional success.Modern Mentor is a part of Quick and Dirty Tips.Links: https://www.quickanddirtytips.com/https://www.linkedin.com/company/modern-mentor-podcast/https://www.quickanddirtytips.com/modern-mentor-newsletterhttps://www.facebook.com/QDTModernMentorhttps://twitter.com/QDTModernMentor Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
The Thinking Fellows examine the Ligonier 2025 State of Theology Survey. They identify a major recurring theme: Christians are contradicting themselves. Fundamental questions about the nature of God, the authority of Scripture, and the work of Jesus are answered correctly by most respondents. However, the same individuals then give contradictory answers to adjacent questions such as the nature of the Holy Spirit, whether Christians must adhere to biblical morality, or whether the worship of false gods saves. The Fellows discuss catechesis and the impact of culture on what people say and what they believe. Year End Giving State of Theology Survey 1517 Podcasts 1517 on Youtube 1517 Podcast Network on Apple Podcasts 1517 Events Schedule 1517 Academy - Free Theological Education What's New from 1517: Coming Home for Christmas: 1517 Advent Devotional Face to Face: A Novel of the Reformation by Amy Mantravadi Untamed Prayers: 365 Daily Devotions on Christ in the Book of Psalms by Chad Bird Remembering Your Baptism: A 40-Day Devotional by Kathryn Morales Sinner Saint by Luke Kjolhaug More from the hosts: Caleb Keith Scott Keith Adam Francisco Bruce Hilman
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