Podcasts about Reliability

In this episode of Path to Zero, Tucker Perkins sits down with Becky Klein, President of Klein Energy, former Chair of the Texas Public Utility Commission, and founder of the Texas Energy Poverty Research Institute (TEPRI), to unpack one of the most pressing challenges in energy today: How do we deliver reliable, affordable power in a system that's becoming more complex by the day? The post 7.2 – Reliability in a Rapidly Changing Grid with Becky Klein, Energy Expert and Former Chairman of the Public Utility Commission of Texas appeared first on Propane.

### 14. Bud Weinstein: The Necessity of Coal and Petroleum Bud Weinstein stresses an "all of the above" energy strategy, noting that petroleum and coal remain vital for grid reliability during winter emergencies. He critiques the premature closing of coal plants as a driver of higher costs.,, (14)1957 TEHRAN

Nichole Yembra is a force of nature in the African tech ecosystem. As a Forbes 30 Under 30 honoree and an Obama Foundation Leader, she has overseen over $500 million in capital raises and fostered the growth of giants like Flutterwave and Max. In this deep-dive interview on Found Connect, Nichole shares the raw, unfiltered reality of what it takes to build, fail, and scale in Nigeria and beyond.Nichole discusses her transition from a high-flying career at EY in Atlanta and Brazil to becoming the "Chief Problem Solver" in Lagos. She opens up about the "Mamba Mentality" she adopted from Kobe Bryant—a relentless, competitive drive that pushed her to leave her comfort zone and redefine success. She explains why she dropped "loyalty" as a top value after facing a betrayal that forced her to start from scratch, and why she now prioritizes authenticity and curiosity above all else.This conversation goes beyond business metrics. Nichole talks about the physiological nature of emotions, the "cognitive loneliness" of leadership, and the power of female friendships. She breaks down why most businesses are actually not "venture-backable" and provides a masterclass for founders on the importance of timing, execution, and customer money over investor funding. Whether you are an aspiring entrepreneur, an investor, or someone looking for the motivation to "craft your life," this episode is packed with gems.From her early days as a "terrible child" jumping gates in Lagos to building 143—a wellness and Pilates sanctuary—Nichole's story is one of evolution. Learn how she balances being a mother of twins, a managing partner, and a creative spirit while maintaining a deep sense of gratitude and peace in the chaos of Nigeria. Subscribe to Found Connect for more stories of the founders shaping Africa's future.Timestamps00:00 - Intro03:38 - Growing up as a creative and competitive child in Lagos06:01 - A childhood lesson on earning money and honesty10:51 - Turning 39 and the legacy of her mother12:11 - Why being in Nigeria is more liberating than the US14:42 - Breaking down core values: Freedom and Authenticity20:43 - The Mamba Mentality: How Kobe Bryant influenced her drive22:54 - The mindset of greatness vs. mediocrity33:25 - Moving back to Nigeria36:34 - Building Greenhouse Lab and the Google partnership37:42 - The truth about raising your first $1M in Africa43:55 - Why Venture Capital often "makes no sense"56:29 - What Chrysalis Capital actually does for companies1:07:02 - Transitioning into the wellness industry with 1431:11:15 - Losing everything and starting over from scratch1:20:47 - The Trust Equation: Competence, Reliability, and Authenticity1:26:19 - The importance of ambitious female friendships

“What are the top reasons for Gospel reliability?” This question opens a discussion on the foundational aspects that affirm the Gospels’ trustworthiness, including the significance of eyewitness accounts. Other topics include the challenges posed by Bart Ehrman regarding Jesus’ words, the role of St. Luke among the apostles, and the criteria used to determine authentic Gospels versus apocryphal texts. Join the Catholic Answers Live Club Newsletter Invite our apologists to speak at your parish! Visit Catholicanswersspeakers.com Questions Covered: 02:10 – What are the top 3 reasons for the reliability of the gospels? 29:07 – Have you considered the work of Bart Ehrman and his problems with what Jesus really said? 35:56 – Is it safe to assume that St. Luke was one of the 72 that was originally sent out? 42:27 – How did they figure out which gospels were the actual eye witnesses and others weren't like the gospel of Thomas? 46:49 – How would you go about balancing knowing the bible is the word of God and knowing humans had some influence on it? 50:44 – How would you compare the reliability of transmission of the NT compared to the Quran and the Hadiths?

Timely Reliability Thinking Abstract Fred shares insights from consulting with over 150 organizations on the perennial struggle between reactive “heroism” and proactive design. Mojan and Fred discuss the measurable benefits of investing in reliability early—such as reduced development time and lower warranty costs—and why 80% of companies still find themselves trapped in a “build-test-fix” cycle. Key […]

On this Freedom Friday, we wrapped up our weekly “Ask the Experts” theme with J. Warner Wallace, who discussed the reliability and truth of Jesus. Warner Wallace is a Dateline featured cold-case homicide detective, national speaker, podcast host, and best-selling author. He also serves as a Senior Fellow at the Colson Center for Christian Worldview and is an adjunct professor of apologetics at Talbot School of Theology, Gateway Seminary, and Southern Evangelical Seminary. He has also authored several books, including “Cold-Case Christianity.Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

Featuring an interview with Dr Christopher Lieu, including the following topics: Historical approach to the adjuvant treatment of localized colorectal cancer (CRC) (0:00) Perspectives on earlier-onset colorectal cancer and potential drivers; management of oligometastatic disease (13:16) Overview of cell-free DNA (circulating tumor DNA [ctDNA]) and techniques for its measurement (17:03) Reliability and prognostic capability of ctDNA as a biomarker for clinical status in patients with localized colorectal cancer (21:10) ctDNA assessment and treatment decision-making for patients with Stage II colon cancer (26:38) Potential incorporation of ctDNA assays into the management of metastatic colorectal cancer or microsatellite instability-high disease (34:29) Available clinical data with ctDNA assessment in localized rectal cancer (38:54) Current practice patterns with ctDNA assays for patients with localized colorectal cancer (41:17) Case: A woman in her early 40s with resected lower risk Stage III colon cancer requests ctDNA testing (45:47) Case: A man in his early 50s with Stage IIIB colon cancer wants to avoid adjuvant chemotherapy (50:39) Case: A man in his early 60s with Stage IV colon cancer receives a positive postoperative ctDNA assessment result (53:24) NCPD information and select publications

In this talk, Aditya, an experienced AI Researcher and Engineer, shares his technical evolution—from his roots in embedded systems to building complex, large-scale AI agent architectures. We explore the practical challenges of enterprise AI adoption, the shifting economics of LLMs, and the infrastructure required to deploy reliable multi-agent systems.You'll learn about:- The ROI of Fine-Tuning: How to decide between specialized small models and general-purpose APIs based on cost and latency.- Agent MLOps Stack: The essential roles of guardrails, data lineage, and auditability in AI workflows.- Reliability in High-Stakes Verticals: Navigating the unique AI deployment challenges in the legal and healthcare sectors.- Evaluation Frameworks: How to design robust evals for multi-tenancy systems at scale.- Human-in-the-Loop: Strategies for aligning "LLM as a judge" with human-labeled ground truth to eliminate bias.- The Future of AGI: What to expect from the next wave of multimodal agents and autonomous systems.TIMECODES: 00:00 Aditya's from embedded systems to AI08:52 Enterprise AI research and adoption gaps 13:13 AI reliability in legal and healthcare 19:16 Specialized models and agent governance 24:58 LLM economics: Fine-tuning vs. API ROI 30:26 Agent MLOps: Guardrails and data lineage 36:55 Iterating on agents with user feedback 43:30 AI evals for multi-tenancy and scale 50:18 Aligning LLM judges with human labels 56:40 Agent infrastructure and deployment risks 1:02:35 Future of AGI and multimodal agentsThis talk is designed for Machine Learning Engineers, Data Scientists, and Technical Product Managers who are moving beyond AI prototypes and into production-grade agentic workflows. It is especially relevant for those working in regulated industries or managing high-volume API budgets.Connect with Aditya:- Linkedin - https://www.linkedin.com/in/aditya-gautam-68233a30/Connect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

On this Freedom Friday, we wrapped up our weekly “Ask the Experts” theme with J. Warner Wallace, who discussed the reliability and truth of Jesus. Warner Wallace is a Dateline featured cold-case homicide detective, national speaker, podcast host, and best-selling author. He also serves as a Senior Fellow at the Colson Center for Christian Worldview and is an adjunct professor of apologetics at Talbot School of Theology, Gateway Seminary, and Southern Evangelical Seminary. He has also authored several books, including “Cold-Case Christianity.Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

On this Freedom Friday, we wrapped up our weekly “Ask the Experts” theme with J. Warner Wallace, who discussed the reliability and truth of Jesus. Warner Wallace is a Dateline featured cold-case homicide detective, national speaker, podcast host, and best-selling author. He also serves as a Senior Fellow at the Colson Center for Christian Worldview and is an adjunct professor of apologetics at Talbot School of Theology, Gateway Seminary, and Southern Evangelical Seminary. He has also authored several books, including “Cold-Case Christianity.Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

On this Freedom Friday, we wrapped up our weekly “Ask the Experts” theme with J. Warner Wallace, who discussed the reliability and truth of Jesus. Warner Wallace is a Dateline featured cold-case homicide detective, national speaker, podcast host, and best-selling author. He also serves as a Senior Fellow at the Colson Center for Christian Worldview and is an adjunct professor of apologetics at Talbot School of Theology, Gateway Seminary, and Southern Evangelical Seminary. He has also authored several books, including “Cold-Case Christianity.Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

On this Freedom Friday, we wrapped up our weekly “Ask the Experts” theme with J. Warner Wallace, who discussed the reliability and truth of Jesus. Warner Wallace is a Dateline featured cold-case homicide detective, national speaker, podcast host, and best-selling author. He also serves as a Senior Fellow at the Colson Center for Christian Worldview and is an adjunct professor of apologetics at Talbot School of Theology, Gateway Seminary, and Southern Evangelical Seminary. He has also authored several books, including “Cold-Case Christianity.Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

On this Freedom Friday, we wrapped up our weekly “Ask the Experts” theme with J. Warner Wallace, who discussed the reliability and truth of Jesus. Warner Wallace is a Dateline featured cold-case homicide detective, national speaker, podcast host, and best-selling author. He also serves as a Senior Fellow at the Colson Center for Christian Worldview and is an adjunct professor of apologetics at Talbot School of Theology, Gateway Seminary, and Southern Evangelical Seminary. He has also authored several books, including “Cold-Case Christianity.Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

On this Freedom Friday, we wrapped up our weekly “Ask the Experts” theme with J. Warner Wallace, who discussed the reliability and truth of Jesus. Warner Wallace is a Dateline featured cold-case homicide detective, national speaker, podcast host, and best-selling author. He also serves as a Senior Fellow at the Colson Center for Christian Worldview and is an adjunct professor of apologetics at Talbot School of Theology, Gateway Seminary, and Southern Evangelical Seminary. He has also authored several books, including “Cold-Case Christianity.Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

Hey folks, Alex here, let me catch you up! Most important news about this week came today, mid-show, OpenAI dropped GPT 5.4 Thinking (and 5.4 Pro), their latest flagship general model, less autistic than Codex 5.3, with 1M context, /fast mode and the ability to steet it mid-reasoning. We tested it live on the show, it's really a beast. Also, since last week, Anthropic said no to Department of War's ultimatum and it looks like they are being designated as supply chain risk, OpenAI swooped in to sign a deal with DoW and the internet went ballistic (Dario also had some .. choice words in a leaked memo!) On the Open Source front, the internet lost it's damn mind when a friend of the pod Junyang Lin, announced his departure from Qwen in a tweet, causing an uproar, and the CEO of Alibaba to intervene. Wolfram presented our new in-house wolfbench.ai and a lot more! P.S - We acknowledge the war in Iran, and wish a quick resolution, the safety of civilians on both sides. Yam had to run to the shelter multiple times during the show. ThursdAI - Highest signal weekly AI news show is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.OpenAI drops GPT 5.4 Thinking and 5.4 Pro - heavy weight frontier models with 1M context, /fast mode, SOTA on many evalsOpenAI actually opened this week with another model drop, GPT 5.3-instant, which... we can honestly skip, it was fairly insignificant besides noting that this is the model that most free users use. It is supposedly “less cringe” (actual words OpenAI used). We all wondered when 5.4 will, and OpenAI once again proved that we named the show after the right day. Of course it drops on a ThursdAI. GPT 5.4 Thinking is OpenAI latest “General” model, which can still code, yes (they folded most of the Codex 5.3 coding breakthroughs in here) but it also shows an incredible 83% on GDPVal (12% over Codex), 47% on Frontier Math and an incredible ability to use computers and browsers with 82% on BrowseComp beating Claude 4.6 at lower prices than Sonnet! GPT 5.4 is also ... quite significantly improved at Frontend design? This landing page was created by GPT 5.4 (inside the Codex app, newly available on Windows) in a few minutes, clearly showing significant improvements in style. I built it also to compare prices, all the 3 flagship models are trying to catch up to Gemini in 1M context window, and it's important to note, that GPT 5.4 even at double the price after the 272K tokens cutoff is still.... cheaper than Opus 4.6. OpenAI is really going for broke here, specifically as many enterprises are adopting Anthropic at a faster and faster pace (it was reported that Anthropic is approaching 19B ARR this month, doubling from 8B just a few months ago!) Frontier math wizThe highlight from the 5.4 feedback came from a Polish mathematician Bartosz Naskręcki (@nasqret on X), who said GPT-5.4 solved a research-level FrontierMath problem he had been working on for roughly 20 years. He called it his “personal singularity,” and as overused as that word has become, I get why he said it. I've told you about this last week, we're on the cusp. Coding efficiencyThere's tons of metrics in this release, but I wanted to highlight this one, where it may seem on first glance that on SWE-bench Pro, this model is on par with the previous SOTA GPT 5.3 codex, but these dots here are thinking efforts. And a medium thinking effort, GPT 5.4 matches 5.3 on hard thinking! This is quite remarkable, as lower thinking efforts have less tokens, which means they are cheaper and faster ultimately! Fast mode arrives at OpenAI as wellI think this one is a direct “this worked for Anthropic, lets steal this”, OpenAI enabled /fast mode that.. burns the tokens at 2x the rate, and prioritizes your tokens at 1.5x the speed. So, essentially getting you responses faster (which was one of the main complains about GPT 5.3 Codex). I can't wait to bring the fast mode to OpenClaw with 5.4, which will absolutely come as OpenClaw is part of OpenAI now. There's also a really under-appreciated feature here that I think other labs are going to copy quickly: mid-thought steering. OpenAI now lets you interrupt the model while it's thinking and redirect it in real time in ChatGPT and iOS. This is a godsend if you're like me, sent a prompt, seeing the model go down the wrong path in thinking... and want to just.. steer it without stopping! Anthropic is now designated as supply-chain risk by DoWLast week I left you with a cliffhanger: Anthropic had received an ultimatum from the Department of War (previously the Department of Defense) to remove their two remaining restrictions on Claude — no autonomous kill chain without human intervention, and no surveillance of US citizens. Anthropic's response? “we cannot in good conscience acceede to their request” So much has happened since then; US President Trump said “I fired Anthropic” referring to his Truth Social post demanding intelligence agencies drop the use of Claude (which apparently was used in the war with Iran regardless); Sam Altman announced that OpenAI has agreed to DoW and will provide OpenAI models, causing a lot of people to cancel their OpenAI subscriptions, and later apologizing for the “rushed rollout”; Dario Amodei posted a very contentious internal memo that leaked, in which he name-called the presidency, Sam Altman and his motives, Palantir and their “safety theater”, for which he later apologizedHonestly this whole thing is giving me whiplash trying to follow, but here's the facts. Anthropic is now the first US company in history, being designated “supply chain risk” which means no government agency can use Claude, and neither can any company that does contracts with DoW. Anthropic says it's illegal and will challenge this in court , while reporting $19B in annual recurring revenue, nearly doubling since last 3 months, and very closely approaching OpenAI at $25B. Look, did I want to report on this stuff when I decided to cover AI? no... I wanted to tell you about cool models and capabilities, but the world is changing, and it's important to know that the US Government understands now that AI is inevitable, and I think this is just the first of many clashes between tech and government we'll see. We'll keep reporting on both. (but let me know in the comments if you'd prefer just model releases) OpenAI's GPT-5.3 Instant Gets Less Cringe, Google's Flash-Lite Gets Faster (X, Announcement)We also got two fast-model updates this week that are worth calling out because these are the models that often end up powering real product flows behind the scenes. As I wrote before, OpenAI's instant model is nothing to really mention, but it's worth mentioning that OpenAI seems to have an answer for every Gemini release. Gemini released Gemini Flash-lite this week, which boasts an incredible 363 tokens/s speed, which doing math at a very good level, 1M context and great scores compared to the instant/fast models like Haiku from Anthropic. Folks called out that this model is more expensive than the previous 2.5 Flash-lite. But with 86.9% on GPQA Diamond beating GPT-5 mini, and 76.8% MMMU-pro multimodal reasoning, this is definitely worth taking a look at for many agentic, super fast responses! For example, the heartbeat response in OpenClaw. Qwen 3.5 Small Models & The Departure of Junyang Lin (X, HF, HF, HF)Alibaba's Qwen team continued releasing their Qwen 3.5 family, this time with Qwen 3.5 Small, a series of models at 0.8B, 2B, 4B, and 9B parameters with native multimodal capabilities. The flagship 9B model is beating GPT-OSS-120B on multiple benchmarks, scoring 82.5 on MMLU-Pro and 81.7 on GPQA Diamond. These models can handle video, documents, and images natively, support up to 201 languages, and can process up to 262K tokens of context. And.. they are great! They are trending on HF right now. What's also trending is, tech lead for Qwen, a friend of the pod Junyang Lin, has posted a cryptic tweet that went viral with over 6M views. There was a lot of discussions on why he and other Qwen leads are stepping away, what's goig to happen with the future of OpenSource. The full picture seems to be, there are a lot of internal tensions and politics, with Junyang being one of the youngest P10 leaders in the Alibaba org.A Chinese website 36KR ( Kind of like a chinese techcrunch) reported that this matter went all the way up to Alibaba CEO, who is no co-leading the qwen team, and that this resignation was related to an internal dispute over resource allocation and team consolidation, not a firing. I'm sure Junyang is going to land somewhere incredible and just wanted to highlight just how much he did for the open source community, pushing Qwen relentlessly, supporting and working with a lot of inference providers (and almost becoming a co-host for ThursdAI with 9! appearances!) StepFun releases Step 3.5 Flash Base (X, HF, HF, Announcement, Arxiv)Speaking of Open Source, StepFun just broke through the noise with a new model, a 196B parameter sparse Mixture of Experts model activating just 11B parameters when ran. It has some great benchmarks, but the main thing is this: they are releasing the pretrained base weights, a midtrain checkpoint optimized for code and agents, the complete SteptronOSS training framework, AND promising to release their SFT data soon - all under Apache 2.0! Technically the model looks strong too, with multi-token prediction, 74.4% on SWE-bench verified bench (though, as we told you last week, it's.. no longer trusted) and full apache 2! This Week's Buzz: presenting Wolfbench.ai I'm so excited about this weeks “this weeks buzz”, Wolfram has been hard at work preparing and presenting a new framework to test out these models, and named it wolfbench.ai Wolfbench is our attempt to compare how the same model performs via different agentic harnesses like ClaudeCode, OpenClaw and Terminalbench's own Terminus. You can check out the website on wolfbench.com but the short of it is, a single number is not telling the full story. Wolf Bench breaks it into a four-metric framework: the average score across runs, the best single run, the ceiling (how many tasks can the model solve at least once across all runs), and the floor (how many tasks does it solve consistently across every single run). That last one is what I find most illuminating. Opus 4.6 might be able to solve 88% of Terminal Bench tasks on average, but only about 55% of tasks it solves every single time. Reliability matters enormously for agents, and benchmarks almost never surface this. If you want to run your own evals with the same config, reach out to Wolfram—he's open to community contributions. Wolfram has also already kicked off a Wolf Bench run on GPT-5.4 since we tested it live today, so stay tuned for those results.There's quite a few more releases we didn't have time to get into on the show given the GPT 5.4 drop, you'll find all those links in the show notes! Next week will mark 3 years since I've started talking about AI on the internet and created ThursdAI (It was March 14th, 2023, same day as GPT4 launched) and we'll have a little celebration, I do hope you join us live

Spring is finally here, and the 2026 shooting season is about to begin. In this episode of the Long Range Shooting and Custom Rifle Building Podcast, Jamie Dodson of Wolf Precision shares updates from SHOT Show and the Great American Outdoor Show, talks about upcoming training opportunities, and dives into several important topics for shooters and hunters. Jamie discusses the art of shooting moving targets, why learning mover math can completely change the way you hunt, and details the upcoming Wolf Precision Movers Class in Swainsboro, Georgia. He also answers a listener question about magazine fit and reliability, explaining common problems with modern magazines and sharing practical gunsmithing tips for improving feeding in bolt-action rifles. Finally, Jamie talks about the start of the spring shooting season, upcoming Wolf Precision classes, and delivers an important message about range safety and ricochets after a recent incident in Pennsylvania where a ricochet bullet injured a child. Understanding your backstop, selecting the right ammunition, and knowing what lies beyond your target are critical responsibilities for every shooter. If you are a shooter, hunter, or rifle builder preparing for the upcoming season, this episode is packed with practical advice and important reminders.   Giveaway info & Patreon link: Check the links below and don't forget to register. Register to win slot number one by following us on Patreon here! Register to win slot number two by joining The Wolf Pack here!

Was the Apostle Paul a Slave? | Dr. Mark Fairchild on Paul's Early Life as Saul the ZealotWas Paul once a slave? If so, how did his early life shape his theology, mission, and message? In this compelling episode of the Bible and Theology Matters podcast, Dr. Paul Weaver sits down with Dr. Mark Fairchild to discuss his groundbreaking book, Paul's Enslavement: The Early Life of Saul the Zealot. Together, they explore the provocative thesis that the Apostle Paul may have been a former slave—and how that possibility sheds powerful new light on his language of slavery, freedom, adoption, redemption, and identity in Christ.Dr. Fairchild draws from the Book of Acts, Paul's letters (especially Galatians), early church tradition from Jerome, and the historical writings of Josephus to examine:-Paul's Roman citizenship and how slaves could receive citizenship through-manumission -The “Synagogue of the Freedmen” in Acts 6-The meaning of stigmata in Galatians 6:17-Honor, shame, and status in the first-century Mediterranean world-How slavery differed from modern conceptions of 16th–19th century chattel slavery-Why does Paul use slavery and adoption language more than any other New Testament writer -How Saul's zealotry transformed after his encounter with Christ on the Damascus RoadThis conversation also explores Paul's rabbinic training under Gamaliel, his intense persecution of the early church, and how his radical conversion reshaped his understanding of identity, freedom, and gospel ministry.If you want deeper insight into:-The historical Paul: First-century slavery in the Roman world-The background of Galatians: Paul's theology of freedom and redemption-How archaeology and ancient sources illuminate Scripture…you won't want to miss this episode. Dr. Fairchild also discusses his extensive research in Turkey (ancient Asia Minor) and his work on Paul's “unknown years” in Cilicia. This episode is hosted by Dr. Paul Weaver, Associate Professor of Bible Exposition at Dallas Theological Seminary and host of the Bible and Theology Matters podcast.

1 Thessalonians 2:13 Sunday March 1, 2026 – By Bob Cote

A @Christadelphians Video: Description: If humans have immortal souls, what is the point of resurrection? The Bible is opened to discuss what God's view of the human after-life is like. This thought-provoking Bible Talk presents an insightful and expositional examination of a core Christian doctrine: the resurrection of the dead. In this revealing report, we confront a widespread departure from biblical truth within modern Christendom. Are popular teachings about death and the afterlife based on the Bible or on human tradition? We go directly to the Scriptures to uncover the outstanding hope God offers through a future resurrection, a promise underwritten by the God who created us. This outstanding presentation clarifies what the Bible truly says about the state of the dead, the timing of judgment, and the wonderful hope of immortality granted only through Christ. Join us for this foundational study.*Chapters / Timestamps:*00:00 - Introduction: Examining Departure from Bible Truth00:48 - The Promise of Resurrection in Daniel02:06 - The Reliability of Scripture02:58 - Dying in Faith Without Receiving Promises04:12 - First Century Errors & Modern Misunderstandings05:32 - Judgment Follows Resurrection, Not Death06:47 - The Practical Example of Lazarus08:01 - Preaching Resurrection to a Pagan World09:07 - Christ: The First Fruits of Resurrection10:42 - The Critical Importance of Resurrection for Faith11:36 - The Origin of the "Immortal Soul" Teaching13:22 - The State of the Dead: Thoughts Perish14:43 - The True Christian Comfort in Death16:11 - The Importance of Correct Timing17:14 - The Charge to Preach Sound Doctrine17:55 - Conclusion: Resurrection is the Only Hope*Bible Verses Featured:*

Valves play an essential role in the cooling requirements for these high-performance data center servers. Reliability and efficiency are required to drive down operating costs throughout the facility's lifecycle.

There is one truth that has followed every major technological revolution in human history. Energy demand always rises to meet technological capability. When we industrialized, coal consumption exploded. When we built the modern transportation system, oil demand reshaped global geopolitics. When we entered the digital age, electricity quietly became the backbone of the global economy. And now we are entering the AI era. What most people don't appreciate is that AI is not just a software revolution. It is an electricity revolution. Training a single advanced AI model can consume as much electricity as tens of thousands of homes use in an entire year. And once trained, these models continue to run inside data centers filled with specialized hardware operating 24 hours a day. A single large AI data center can require over 1 gigawatt of power. To put that into perspective, that's enough electricity to power roughly 700,000 homes. One building consuming the equivalent of a major city. Now consider that companies like Microsoft, Google, Meta, and Amazon are planning dozens of these facilities. Suddenly, you begin to see the scale of what's happening. Even individual AI queries consume more power than traditional computing tasks meaningfully. One estimate suggests an AI query can use roughly 10 times the electricity of a traditional search query. That difference seems trivial until you multiply it by billions of interactions per day. This is why, for the first time in decades, electricity demand in the United States is accelerating again. For nearly 20 years, electricity demand was relatively flat. Efficiency gains offset economic growth. But AI, electrification of transportation, and domestic manufacturing are reversing that trend. And here's where the story becomes even more interesting. China understands this. China is building power infrastructure at a pace that is difficult to comprehend. They are adding entire national-scale power capacity every few years. In 2023 alone, China added more new coal power capacity than the rest of the world combined. At the same time, they are installing solar and wind at record rates, becoming the global leader in renewable deployment. They are not choosing one energy source. They are choosing all of them. Because they understand that energy availability determines technological leadership. Meanwhile, in the United States, building new power plants and transmission infrastructure can take a decade or more due to regulatory hurdles, permitting delays, and political resistance. This creates a very real risk. The country that can generate the most reliable, scalable energy will have a structural advantage in AI, manufacturing, and economic growth. Energy is becoming the limiting factor. And whenever something becomes a bottleneck, investment opportunities emerge. We are entering a period where trillions of dollars will be spent on power generation, grid modernization, nuclear energy, solar, battery storage, geothermal, and technologies that most people have never even heard of. Some of the biggest fortunes of the next decade will likely be tied directly or indirectly to solving this energy constraint. In today's episode, we explore alternative energy sources, the challenges we face, and the technologies that may power the future. Because understanding energy is no longer optional if you want to understand where the world is going. And as investors, those who see these shifts early have the opportunity to position themselves ahead of the crowd. Watch on YouTube: https://youtu.be/D0Lpmq0SAvo Listen on Apple Podcasts: https://podcasts.apple.com/gb/podcast/548-ai-is-about-to-trigger-an-energy-crisis-most/id718416620?i=1000752299883 Listen on Spotify: https://open.spotify.com/episode/5l4674hFIJPWkz0spMq4YL Transcript Disclaimer: This transcript was generated by AI and may not be 100% accurate. If you notice any errors or corrections, please email us at phil@wealthformula.com.  Welcome everybody. This is Buck Joffery, the Wealth Formula podcast. And today, before we begin, I wanna remind you as always, there is a website associated with this podcast, wealthformula.com. That’s where you want to go. If you have, uh, an interest in uh, ing more in the community in particular, there is a, a credit investor club. AKA investor club, which you need to sign up for. Uh, go to wealthformula.com and see some private deal flow at, uh, no cost to you, uh, that, uh, you might have an interest in. Uh, let’s talk about today’s show. It’s a little bit about, uh, something. You know, that is, uh, on I think, a, a major issue, uh, going into the next decade. Um, you know, there’s one truth that’s followed. Every major technological revolution in human history. Energy demand is always rise, uh, to meet technological capability. You know, when we industrialize, uh, coal consumption exploded, obviously when we built modern transportation system oil. Demand, uh, reshaped global geopolitics. And when he entered the digital age, electricity became the backbone of the global economy, and now we’re entering the era of artificial intelligence. Now, what most people don’t appreciate is that AI is not just a software revolution, it’s an electricity revolution. Uh, training a single advanced AI model can consume as much electricity as literally tens of thousands of homes in an entire year. And once trained, these models continue to run inside data centers filled with specialized hardware operating 24 hours a day. A single large AI data center can require what’s called a entire one gigawatt of power. Now, what’s a gigawatt? Well, to put this all into perspective, that’s enough electricity to power. Roughly 700,000 homes, one building consuming the equivalent of a major city. Now, consider that companies like Microsoft, Google Meta, Amazon, they’re applying to build dozens of these facilities, and suddenly you begin to see the scale of what’s happening. Uh, even individual AI queries when you do them, they consume a lot more power than traditional computing tasks. Um, there’s an estimate that suggests that an AI query. Can use roughly 10 times the electricity of a traditional, uh, search query. The difference seems trivial until you multiply that by like billions of these interactions per day. And that is why for the first time in decades, electricity demand in the United States is accelerating again and doing so quickly. Now you might ask, well, you know, what’s been happening for the last 20 years? Well, electricity demand was actually relatively. Flat. And a lot of that is because of efficiency gains, offsetting economic growth, but ai, electrification of transportation, domestic manufacturing, they’re all gonna reverse that trend. And, and here’s where the story becomes even more interesting, because we know that China already understands this. China’s building power infrastructure at a pace that’s difficult to really even comprehend. They’re adding entire national skill, power, capacity every few years. In 2023 alone, China added more new coal power capacity than the rest of the world combined. And at the same time, they’re installing solar, wind, all these things at record rates becoming really the global leader in re renewable deployment. So you don’t think of China is that way, but they are. They’re not choosing one energy source. They’re choosing all of them. And because they understand that energy availability will determine technological leadership. Meanwhile, in the US things are kind of slower. Building a, a new power plant and transmissions infrastructure can take a decade or more. We got lots of regulatory hurdles and permitting delays in political resistance that the Chinese don’t have, and that creates a lot of risk. The country that can generate the most reliable, scalable energy, we’ll have a structural advantage in AI manufacturing and economic growth. And that is a big, big deal because energy at the end of the day is becoming. The limiting factor for growth, and whenever something becomes a bottleneck, you also get investment opportunities that emerge. So we’re entering a period where trillions of dollars will be spent on power generation, grid modernization, nuclear energy, solar battery, geothermal, you name it. And a lot of those things you’ve never heard of. Some of the biggest fortunes of the next decades will be tied directly or indirectly to solving these energy constraints. That is why in today’s episodes we’re gonna explore these alternative energy sources, kind of get an idea of what’s going on with them. I know it doesn’t sound super exciting or sexy, but understanding energy right now is, is not optional. If you wanna understand where the world is going, and as investors, those who see these shifts early are gonna have an opportunity to position themselves ahead of the crowd, and we’re gonna have. A conversation to highlight all of that right after these messages. Wealth formula banking is an ingenious concept powered by whole life insurance, but instead of acting just as a safety net, the strategy supercharges your investments. First, you create a personal financial reservoir that grows at a compounding interest rate much higher than any bank savings account. As your money accumulates, you borrow from your own. Bank to invest in other cash flowing investments. Here’s the key. Even though you’ve borrowed money at a simple interest rate, your insurance company keeps paying. You compound interest on that money even though you’ve borrowed it at result, you make money in two places at the same time. That’s why your investments get supercharged. This isn’t a new technique, it’s a refined strategy used by some of the wealthiest families in history, and it uses century old rock solid insurance companies as its back. Turbocharge your investments. Visit wealthformulabanking.com. Again, that’s wealthformulabanking.com. Welcome back to the short rewind, uh, energy demand is, uh, rising, not just from ai but from electrification. Population growth, economic activity itself. At the same time, we’re trying to transition how energy’s produced, which creates, uh, real trade-offs around cost, reliability, and scale. Today’s conversation isn’t about, uh, ideology necessarily, but it’s about the economics of energy and what’s realistic as demand continues to grow. And to help us think this through. I’m joined by Dr. Ga Hockman, professor of Environmental and Resource Economics, with the PhD from Columbia University Gall. Welcome to the show. Good morning. So let’s just start very basic here. In your view, why does economic growth almost always translate into higher energy demand? Because production is very dependent on energy. And so whenever you wanna expand production, you wanna expand food, you need more energy. And this is actually what we’re trying to decouple, to create production processes that are less energy intensive. So as we grow, as we become happier, more viable, we don’t necessarily need more energy. So, uh, setting, uh, ai, artificial intelligence aside for a second, are we already in a path where electricity demand has to rise, you know, meaningfully over the next decade? I mean, what, what kind of projections do we look at there? We need to decouple growth from energy. We didn’t do that yet. As long as we don’t do it. Uh, growth will be associated with an increase in energy demand, not as much as AI has been introducing. And that is, uh, uh, uh, jumping to a higher step. Right. Now, you’ve mentioned this a couple times in the decoupling idea how in the big picture, like how do you do that? Uh, does the low hanging fruit that the US implemented from the 1980s, 1990s, and that is energy efficiency. It, which creates a win-win. Uh, it just changed the light bulbs in your, in your house. You save electricity, but you also save money ’cause these bulbs last much longer. Assuming their cost is not high enough. Is not too high. Uh, industry is the same thing. Introducing more efficient processes. Can result endless need for energy, but we need to go a step further to make it more meaningful and to introduce production processes that simply depend less on energy or depend less on energy that is polluting. Give us another example. I mean, the light bulb is an easy one, but, um, I mean, what are some large scale ideas for that energy efficiency issue? That you’ll think about when you think about these kind of decoupling ideas. Uh, another thing, just, uh, the appliances at home, uh, you want them to, uh, be more energy efficient and the windows you put on your houses, you want it to be double blast, maybe even triple in some cases that blocks the sun and helps I, uh, isolate the house better so you don’t need to heat it as much. Insulation is very important. Uh, very similar things exist in the commercial sector. Uh, if you look at the big retail stores, they’re using a lot of light bulbs. They’re using a lot of insulation to reduce their, uh, heating costs. If they are wanting to become more energy efficient. So these are not very complicated things that can really make a change in residential, in commercial. And you can then expand it further into production process in the manufacturing. And there are different examples also there. There’s also this big driver of energy in the next couple of decades, uh, which, you know, people talk about how many more terabytes we’re gonna need just to support the artificial intelligence revolution. Do you think it’s realistic, you know, just to focus on these efficient levels? Is that enough for, for how much energy we need? No, no. And we need to expand the energy. Uh, it’s important to expand it in ways that is cleaner energy, so it does not create harm. So you don’t create a good with a bad, uh, you wanna introduce energy that is cleaner so you don’t increase, uh, pollution. Uh, impact greenhouse gases. Um, so it is also the fuel mix that you’re using. The fuel sources. Will you use solar? Will you use hydro? Will you use, uh, wind, uh, bio bioenergy, same thing. Bioenergy crops. So you wanna exp expand, you wanna. Introduce a more diverse set of feedstocks that many of them are much more, uh, cleaner than the existing one. Uh, so the movement to renewable is important. Uh, and again, you don’t need to decrease the existing infrastructure, but the new infrastructure at least needs to come from a cleaner sources. You need to improve our use of batteries. Yeah. Let, let’s break down some of the things that you’ve talked about. So, solar, okay. Um, what did, what does solar do well and where does it struggle? Solar, people forget, in 2005 it was $10. Now it’s below $1. So we need to understand that there is a transition in the transition. Many times costly, but we need to learn and bring it down that. Learning came in terms of installation. The installation became much more efficient, uh, much less costly, much faster, and that brought the price of solar down. Uh, solar has been performing very well in many places. Uh, eh, solar today is cheaper than many of the most polluting, uh, infrastructure for power in the world. If I remember correctly, the number, it’s around 500 gigawatts, which is a big number. Uh, they can, that solar can outcompete the existing, uh, energy sources. Uh, where it’s struggling is that, um. Silicon will be is is in high demand and that is a creating a floor that prevents solar from going even lower, but it can also create a constraint in the future as you expand it further. Can you explain for, for us just the silicon issue? ’cause is that. So it’s just a, a silicon is a major component and we don’t have enough, is that what you’re saying? Yes. Yes, exactly. And then doesn’t that drive up the price of silicon? Yes, but we, we didn’t hit that. We, we we’re, we’re, uh, but there are actually various entities working on alternatives. From MIT to companies, uh, that are offering interesting solutions. Yes. You mentioned storage as well. Um, energy storage. Um, how close are we to storage being really viable at scale? I mean, this is, um, you know, we certainly, battery technology has improved, but, you know, how, how, how close are we to it? Becoming something that is, is really, really helping the issues. Uh, it’s challenging ’cause right now it makes it more expensive. But if the more we use it, the more we learn, the more we understand, the more, uh, efficient and cost efficient we can introduce it. Cost will go down. So it’s like the, how do you push it forward? How do you adopt these technologies? Now, we should always remember that there are, in some places, it is already very viable. But it demands certain, uh, uh, circumstances. For example, uh, the Southwest has a location where it has, uh, underground water and solar. The solar heats the underground water. So the underground water becomes the storage that, uh, then the steam becomes the electricity in the night. And that is a very viable process. Hydro with wind goes also very well, and again, uh, they manage to store, uh, use the wind to bring water upstream, and then when there’s no wind, the water flows downstream and through hydro creates electricity. Batteries, it’s technology. Uh, will a breakthrough come one day? I believe so, but again, I, I can’t predict it. Um, we can talk about, um, you know, natural gas, right? I mean, natural gas doesn’t get much attention, uh, in the transition narrative, but how important is it today in maintaining grid stability in supporting renewables? Reliability is more important than prices to many of us. No one likes blackout and if you talk with the, those that monitor and and manage the electricity markets, that’s their top priority, not the price. Uh, we don’t like it when we don’t have electricity. We we’re very dependent on it. So reliability is definitely be, uh, uh, uh, a must before you even move towards renewables. Absolutely. Before prices even, uh, uh, for anyone in the us. Um, so NA Gas has the potential, uh, it has less. CO2. The problem with NA gas is that the infrastructure is leaking. That means that the pipeline are emitting and methane because of leaks. Uh, I believe that needs to be addressed. Uh, uh, natural gas has the potential to be used, but. You need to not use it with an infrastructure that is, uh, resulting in more damage than good. It kind of defeats the purpose of it. What would do you look at natural gas as a short term bridge or something that, you know, the, the system may rely on, you know, in, in a much longer, uh, timeframe, even with other renewables. I would be careful in creating a bridge because that this infrastructure is very expensive. Once you put the amount of money needed to create infrastructure, it’s very hard to change it. Having said that, you will have solutions that will use fossil fuels, which includes natural gas, even in the long run, simply because the cost and the benefits will add up in a way that. It won’t make any sense moving away from fossils. In my opinion, not everyone will agree with me. Yeah, but, and, and you do have technologies that can make fossil fuels much, much cleaner. Like carbon capture used in storage. Uh, that technology has a huge potential. You can recycle the hydrogen and recycle other components in the refinery process that results in a cleaner fuel. But it’s something that we need to incentivize the companies to do. Uh, a company will not do it independently ’cause it’s more costly and that’s important. How about nuclear? I mean, nuclear. Offers reliable carbon free, you know, power. Yet it hasn’t scaled the way many people expected. Um. Why is that people are afraid of nuclear. Look at the three Mile Island and, and look at Fukushima and Chernobyl for that matter. People remember those stories and that really resonates with them badly. And there’s also a problem in the accounting of nuclear. Even the most safest countries in the world like Japan will everyone considered super safe. Even they have an accounting problem. So there is the concern that. Even small amounts get leaked out to the wrong hands. That can be a very bad outcome. Eh? Having said that, there is, I don’t know. I don’t follow it too much, but I do know there is a drive to create small nuclear plants, mobile plants, eh, from my recollection for two, three years ago, the company that I heard of was very successful at that. Eh, Japan went back to nuclear different than Germany. By the way. Germany did not try to, uh, divest from nuclear. So there are some places that nuclear becomes very important. I think it’s also becomes important in some areas that work in ai. So it has been introduced as a source of electricity. Can you tell us a little bit about small modular reactors? There’s a lot of buzz about that. What, what exactly are they? I mean, how small are they? You know, safety wise, uh, they’re mobile, they’re not very big. And, uh, that makes them, uh, much more easier to manage and control as opposed to the very big nuclear plans. Nuclear is a base load. So you use it, you, once you turn it on, you don’t want to turn it off. It’s too expensive. The on and off, it takes it a long time to, to uh, ramp up. Uh, and, uh, mobile, uh, nuclear plants are addressing many of these concerns that exist with the big plants. So they are solving it in, in what I saw pretty well in some circumstances. How small are they? I mean, are they, so would you. Would a, you know, one of these AI data centers, or what would they just, would they have one small modular react or they’ll need more than that? They’ll need more than that. Oh, they need more, more than one. Yeah. Yeah, yeah. So they’re, they’re pretty small or they like, you know, the size of a car or they. How, how small are these things? No, they’re bigger than the car, but they’re not too big. If you know of a nuclear plant, the old one, you see these big round, uh, domes, uh, they’re, they’re not that big. They’re, they’re much smaller, but they’re not as small as a car. Yeah. And so you could run maybe, uh, a, an AI center with a couple of those or something like that. Is that the idea? They have, you can see some of them. There are examples in Texas where you have the, the center basically is surrounded by small units. Are they generally safer to use, and if so, why is that? Uh, I’m not a nuclear guy. I’m not a physic. I should be careful in it, but I, I, what I understood, they’re safer to use. Also, the material i, i I is not reaching, uh, levels that safer levels than you would need for, for example, for bumps and, and stuff like that. So they’re keeping everything at a safer level. When you step back and look at the whole system and think about. What’s gonna happen in the future? Do you think it’s more likely to be dominated by one energy source or like a diversified mix as we’ve been going through? I believe a diversified mix. I also believe that in some places you will always have fossil fuels. In some places you’ll have a very quick transition to renewables. Uh. Uh, we need to look at the system view. In some places it’s easier to clean the dirty fuel. In some places it’s just easier to introduce the, the clean fuel. Uh, some places I do believe you see, for example, developing world does not have the capacity to electrify. We talk about electrification and some people are very enthusiastic about it. You don’t see it in the development world. They don’t, they lack even the US And there is a study in Princeton that came, I think three years ago. Um, if you electrify the whole US today, you need to almost triple the grid capacity. Just understand what the magnitude of money that needs to be invested to get there. Is huge. Now developing countries definitely don’t have it. Even the US doesn’t have that capacity. So, uh, developing countries, I think you might see a lot more biofuels, a lot more, uh, other, uh, substitutes that exist that are easier for them to manage. And then a system view or a more complete view is needed ’cause it’s not. What is the most efficient process? Is what process fits best in a certain area, and, and that will create a lot of heterogeneity, I think. Do you have a sense in the us I mean, what, what do you think ends up being? There’s gotta probably be one, you know, dominant source that it will, will kind of come to friction based on our own. Economics in our own situation. Do you think that’s in the, in the near future? Is that solar, you think? I mean, what, what dominates in the future here? I don’t think you’ll dominate, even in the us you won’t dominate, uh uh. You have regions in the US that are very, uh, windy. Wind farms will be the optimal path. There are places that don’t have any clouds, 350 days a YA year. So solar is perfect there. Solar also creates employment and live view for certain communities so that the employment component is an important part. So you create. Income and, and, and, uh, in, in, in life, in, in economic variability in regions with the renewables, there are other regions that have, uh, a lot of supply of, uh, excess biomass or the capacity to produce a lot of biomass, and that creates them an alternative to use biomass ’cause that’s what brings them. Again, income, which is always important, but it also brings them a feedstock that might be of a, a lot of benefits. Um, and you will have regions that are heavily so heavily invested in fossils that it will never make sense to move away from fossils, but it will make sense to create cleaner fossils through carbon capture and storage in other ways. So I don’t think the US will move into one place or another. Yeah. Um, you know, you often hear discussions about, in the US about, um, our grid being outdated. Tell us sort of at, at a high level, if you wouldn’t mind explaining the issues with the grid and, you know, what, what kind of issues that brings up as we need more energy sources. Just look at the power plants. They were, look at their ages, the age of power plants. Look at and, and then there are a few that were supposed to be retired and now have been extended, but just. That by itself is sufficient to create problems whenever you encounter a natural, uh, extreme event that, uh, stresses the system. Uh, we saw with Sandy in the northeast. The northeast was, a lot of the infrastructure was outdated. Sandy came, the system collapsed. They fixed it now, so they upgraded it. There is, uh, uh. Some of the utility. Again, I’m not, I’m following anecdotal evidence and news, not beyond that, but some of the companies are striving to improve their grid and they are trying to, uh, introduce a more sustainable and reliable system again, ’cause reliability is so important. What does, what does it mean really to even update the grid? I mean, just for people who are not in this space, what does that even mean to upgrade it? You, you, you change the equipment, you upgrade the equipment, you better manage the inter, uh, interaction of trees and, and, and the electricity lines. Uh, you bring electricity lines underground. You also improve a lot of the infrastructure, uh, of the power plants and how they distribute the energy. So this whole infrastructure is being upgraded so it can support. For example, the ai. And that actually is something that the AI might bring as a very positive thing. So it will force the system to, uh, upgrade, to introduce more efficient processes, uh, distribution mechanisms that are more resilient, which I think is important. I hear we’re kind of behind when it comes to this, when you compare it to China. Can you talk a little bit about that? China has a different structure of, or economic structure. So a lot of the, uh, driver, the driver in China is the government and money that the government allocates to these alternative technologies, and that creates a very strong drive for renewables. Eh, China is also a big driver in coal in China, so. It’s basically where the government decides to put the money, and that’s where you see the industry flourish. If you look at the numbers, the investment numbers, China outpaces any country in the world in terms of the value invested per year in the recent years, and, and they’re producing a lot more, a lot more energy than us too. Isn’t that correct? I mean, I, I’ve just been, just in terms of following the AI news, I keep hearing about it. China has no. So many more terabytes than us, uh, of energy, uh, ability. Is is that true? Uh, that I don’t know. I don’t know exactly ’cause, uh, I know they’re producing a lot. I know they are expanding a lot, and I know that in the solar space, for example, they dominate because of that. They’re already, they’re also starting to dominate in the electric vehicle space. Uh, they’re becoming to leaders in those areas. Yes. Um, big picture, I think if you wanted to sort of sum up some of the, you know, major issues that you think that, you know, people like us who are. Investors or you know, just people wanna know what’s happening in the future. Like what, what’s, what’s the message for, for people? I would, I would try to make my house more efficient. I would try to, uh, and it’s important to understand this is not only about, it is about greenhouse gases, but it’s also about if your house is more efficient, you are also paying less money. And that has a lot of benefits to it. Similar logic can follow to the industries and how they work, how, and, and conserving energy is not necessarily coming at the cost of being more or less productive. That’s what we need to understand. You can conserve energy and still produce more. You can become more efficient and you can still, and you can reduce your dependencies on, uh, energy, which I think is important. Dr. Ga Hoffman, thank you so much for being on Wealth Formula Podcast today. Thank you for inviting me. You make a lot of money but are still worried about retirement. Maybe you didn’t start earning until your thirties. Now you’re trying to catch up. Meanwhile, you’ve got a mortgage private school to pay for, and you feel like you’re getting further and further behind. A good news. If you need to catch up on retirement, check out a program put off by some of the oldest and most prestigious life insurance companies in the world. It’s called Wealth Accelerator, and it can help you amplify your returns quickly, protect your. And money from creditors and provide financial protection to your family if something happens to you. The concepts here are used by some of the wealthiest families in the world, and there’s no reason why they can’t be used by you. Check it out for yourself by going to wealthformulabanking.com. Welcome back to the show everyone. Hope you enjoyed it. And, uh, yeah, again, you know, the goal of this show is really to give you, you know, a, a macro look at what’s going on in the world and one of the things that is. Clearly an issue for the United States is energy production. And so, um, you know, stay on top of this stuff. This is, you know, this is where the puck is headed, right? Um, ai, all these things that are, are really, uh, driving the next decade of growth. Really depend on it. Anyway, that is it for me. This week on Wealth Formula Podcast. This is Buck Joffrey signing off. If you wanna learn more, you can now get free access to our in-depth personal finance course featuring industry leaders like Tom Wheel Wright and Ken McElroy. Visit wealthformularoadmap.com.

Standards have dropped. Informality has become sloppy. Reliability is rare. Manners are now a modern advantage.In this episode, I break down 10 old money manners that are used as modern leverage. In a culture built on chaos, composure is unforgettable.In this episode, you will learn:Why manners now function as trust accelerators and reputation buildersHow punctuality, responsiveness, and follow through quietly signal credibilityThe communication habits that make people trust you fasterWhy proper introductions and discretion are social power movesHow old money uses gratitude and closure without performanceWhy elegance is often about knowing when to exitIf you have ever felt overlooked despite being capable, this episode explains why impeccable conduct still wins and always has.----------------------------Go Deeper with Old Money Courses:Old Money Mindset to learn how to think like a wealthy womanOld Money Method to set up a money machine that grows your wealth effortlessly----------------------------Free Resources: Shop Amber's Classic Wardrobe Staples + Skin, Hair & Health Holy Grail ProductsOld Money Monthly Newsletter for what's rich in culture, shopping and our communityDownload your FREE Net Worth TrackerDownload your FREE Simple Money Plan (better than a budget, designed for your richest life)----------------------------Connect with the Old Money Podcast:Community: Join the Old Money Country ClubWeb: OldMoneyPodcast.comEmail: OldMoneyPodcast@gmail.comInstagram: @OldMoneyPodcastTikTok: @OldMoneyPodcast----------------------------Copyright (c) Old Money 2025.The content presented in this podcast is intended to entertain, educate, inspire and support listeners in their personal and professional development and does not constitute business, financial, or legal advice. Please note that this episode may contain paid endorsements and advertisements for products and services for which individuals on the show may have a direct or indirect financial interest in products or services related to the episode.

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Save These Quick Links for Later>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book SEO Services with Favour Obasi-ike⁠>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Purchase Flaev Beatz Beats Online>> Favour Obasi-ike Quick LinksEpisode Key Takeaways1. Website Performance is Paramount: A fast, reliable, and user-friendly website is the non-negotiable foundation for any successful SEO strategy, impacting everything from user engagement to search engine rankings.2. Tailor Your SEO Strategy: The optimal SEO approach differs significantly between product-based and service-based businesses. Product businesses should focus on visual optimization and structured data, while service businesses should prioritize content that builds authority and trust.3. Leverage Visuals for Product SEO: For e-commerce and product-focused businesses, high-quality, optimized images with descriptive alt text are crucial for attracting and converting customers who rely on visual information to make purchasing decisions.4. Build Authority with Content for Service SEO: Service-based businesses can establish themselves as industry leaders by consistently creating valuable, informative content (like blogs, case studies, and whitepapers) that addresses their target audience's needs and questions.5. Master User Intent: Understanding whether a user is looking to buy (commercial intent) or learn (informational intent) is key. A balanced content strategy that targets both types of keywords will capture a wider audience and nurture leads through the entire customer journey.6. Embrace Local SEO: For service businesses with a physical location or defined service area, optimizing for local search by managing a Google Business Profile and creating location-specific content is essential for attracting nearby customers.7. Consistency is the Long-Term Game: SEO is a marathon, not a sprint. Sustainable growth is achieved through consistent, long-term effort in content creation, technical optimization, and building a strong online presence, rather than expecting overnight success.Memorable Quotes[09:05] "As a service-based business or as a product-based business is your website. How fast is your website?"[35:09] "That's why we're in this room today because we want to know what is a commercial value?"[36:22] "You gotta be consistent, you gotta be putting out the content, you gotta do a lot of things."[37:01] "Long, long, long, long, long-term."Episode FAQs1. What is the most important first step in any SEO strategy?The most crucial first step is ensuring you have a fast, reliable, and mobile-friendly website. A poor-performing site will undermine all other SEO efforts.2. How does SEO for a product-based business differ from a service-based business?Product-based SEO heavily relies on high-quality images, structured data (schema markup) for product details, and e-commerce platform optimization. Service-based SEO focuses more on building authority through in-depth content, demonstrating expertise, and often includes a strong local SEO component.3. What is user intent and why is it important for SEO?User intent is the 'why' behind a search query. It can be informational (looking for information), commercial (intending to buy), transactional (ready to complete a purchase), or navigational (looking for a specific site). Understanding intent allows you to create content that directly addresses the user's needs, leading to higher engagement and better rankings.4. How long does it take to see results from SEO?SEO is a long-term strategy. While some minor results can be seen in a few months, significant, lasting results typically take six months to a year of consistent effort to achieve.5. What is the role of content in SEO for service-based businesses?For service-based businesses, content is the primary tool for building trust and demonstrating expertise. High-quality blog posts, articles, case studies, and guides attract potential clients, answer their questions, and position your business as a credible authority in your field.Episode Timestamps[00:00] Introduction: SEO for Product vs. Service Businesses[03:03] The Difference Between Product and Service-Based Businesses[08:56] The Importance of Website Speed and Reliability[10:01] SEO for Product-Based Businesses: Images and Structured Data[15:21] SEO for Service-Based Businesses: Content and Local SEO[34:10] Understanding User Intent: Commercial vs. Informational Keywords[36:07] The Importance of Consistency in SEOSee 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 Reliability Radio, Jeff Hay, CEO and founder of RDI Technologies, explains how Motion Amplification is changing the landscape of vibration analysis. By using standard video cameras to measure and visualize movement, RDI helps organizations identify root causes of equipment failure, improve commissioning processes, and bridge the communication gap between technical teams and management. Jeff also shares insights on the future of AI in reliability and RDI's new continuous monitoring solutions for hazardous areas.

AI products are shipping faster than ever. But shipping isn't impact. The teams pulling ahead aren't the ones with the best models — they're the ones who can prove their product moves the business. This edition is about that gap. How to measure what matters, where the biggest barriers to impact are hiding, and what the latest research says about getting AI products to actually drive growth. Because the real competitive advantage isn't AI. It's knowing whether your AI is working.What You'll Learn in This EditionThis edition cuts through the noise to focus on the measurement gap — the difference between shipping AI and proving AI drives growth.* The Power/Speed/Impact/Joy bullseye — a calibration framework for AI products that actually drive growth* A Nature paper reveals why removing friction from AI may be destroying the learning your team needs* John Maeda on why design teams are being hollowed out — and why PMs are next* Benedict Evans on why even OpenAI can't solve product-market fit with capability alone* Research that should change how your team thinks about AI-assisted skill buildingThanks for reading Product Impact | AI Strategy, Value Creation, AI UX! This post is public so feel free to share it.Episode 1: Why Your AI Metrics Are Lying to You - Framework for improving AI product performanceYour AI product might be fast, capable, and technically impressive — and still not drive the growth your business needs. In this episode, Brittany Hobbs and I introduce the Power, Speed, Impact, and Joy bullseye — a calibration framework borrowed from F1 racing. The teams winning aren't shipping more features. They're measuring different things entirely. We break down a three-layer eval approach and why most completion metrics are hiding the signals that matter.“Success does not mean satisfaction. If someone stops engaging, does that mean they solved their problem — or that they were frustrated and left?” — Brittany HobbsListen on Spotify | Apple Podcasts | YouTubeYour Role Isn't Shrinking. It's Being Hollowed Out.John Maeda — Three major tech companies have restructured design teams into “prompt engineering pods.” Maeda's #DesignInTech 2026 calls it what it is: the elimination of design judgment from the product process. “When you replace a designer with a prompt, you don't lose the pixels. You lose the questions that should have been asked before anyone opened a tool.” This applies to product managers too — if your PM's job becomes prompt-wrangling instead of deciding what to build and why, you've automated the wrong layer. The roles aren't disappearing. The judgment inside them is.Featured Resource: Strategy for Measuring & Improving AI ProductsThe gap between what AI products ship and what they prove is where growth stalls. This framework moves teams from tracking activity — token counts, completion rates, session length — to defining and measuring the outcomes that actually drive business impact. Most teams ship features and assume engagement means success. It doesn't. If your team can't answer “is this AI feature making the business better?” with data, you're flying blind. The framework covers product discovery through scale, with concrete steps for building measurement into your AI product from the start — not bolting it on after launch.Read the full resource at ph1.caWaterfall: we'll build you a car in 18 months. Agile: here's a skateboard, we'll iterate. AI: here's a photorealistic render of a Lamborghini that doesn't start. We've never made it easier to build something that looks incredible and does absolutely nothing. AI development doesn't need more iteration — it needs someone asking “does this thing actually drive?”If your team is celebrating demos instead of outcomes, you're already behind the teams that measure first and ship second.Two years of capability gains. Almost no reliability improvement. This is the chart that should be on every product team's wall — because it explains why your AI demos brilliantly and fails in production. Capability without reliability isn't a product. It's a liability.If your team can't name which type of AI they're building, they can't measure whether it's working. Six categories that force precision. — Narain JashanmalProduct Impact ResourcesThe resources in this edition make one thing clear: the teams investing in measurement and deliberate friction are pulling ahead, while the ones chasing capability are stalling. These resources challenge the assumption that faster and more capable automatically means better outcomes.* Removing struggle from AI workflows destroys the learning that builds expertise. Teams should audit which friction to keep and which to cut. Against Frictionless AI — Inzlicht & Bloom in Nature* AI users learned 17% less without any efficiency gains. How your team uses AI matters more than whether they use it. How AI Impacts Skill Formation — Shen & Tamkin RCT* Two years of capability gains with only modest reliability improvement. The barrier to growth isn't what models can do — it's whether you can trust them. The Capability-Reliability Gap — Narayanan et al.* Polished AI outputs reduce critical evaluation by users. Build in friction points that force your team to think before accepting. (Anthropic studying its own product — read accordingly.) Anthropic AI Fluency Index* AI forces strategic clarity because you cannot delegate logic you haven't articulated. That's a feature, not a bug. Strategy as Protocol — Schwarzmann via Scaman* Six functional AI categories that sharpen how teams talk about what they're building. Precision in language is precision in product decisions. AI Taxonomy — Jashanmal* Mapping 50 AI startups across six pricing models reveals that pricing is a product decision, not a finance one. Get it wrong and adoption stalls regardless of quality. How to Price AI Products — Gupta* Wade Foster shut Zapier down for a week-long AI hackathon. Adoption went from 10% to 50% in five days. Adoption follows experience, not mandates. Zapier's Code Red HackathonProduct Impact NewsThis is the news that matters. Reliability failures are making headlines, benchmark credibility is collapsing, and even the market leaders can't prove product-market fit. The gap between what AI can do and what it can prove is widening, not closing.* ChatGPT missed diabetic ketoacidosis and respiratory failure in 52% of emergency cases. Suicide-risk alerts fired inconsistently. Reliability is the product, not a feature to ship later. ChatGPT Health Under-Triaged 52% of Emergencies* LLMs chose nuclear strikes in 95% of simulated crises. The nuclear taboo is no impediment to AI escalation — a stark reminder that evaluation stakes extend beyond product. AI Models Chose Nuclear Strikes in 95% of Simulated Crises* Google patent US12536233B1 lets it generate its own landing page from your product feed if yours scores below threshold. Own your experience or someone else will. Google Patented AI Landing Pages That Replace Your Storefront* 84% of the world has never used AI. Only 0.3% pay for it. The growth opportunity is massive — but only for teams that solve adoption, not just access. 84% of the World Has Never Used AI* 80% of ChatGPT users sent fewer than 1,000 messages in 2025. Even the market leader hasn't solved product-market fit. Capability alone isn't enough. OpenAI Has No Moat and Engagement an Inch Deep* RCT shows AI tools made experienced developers work faster and take on broader tasks — without measurable output gains. Speed is not productivity. METR: Experienced Devs Saw Zero Productivity Gain* NIST finds standard benchmarks conflate different performance measures. Models with different scores may perform identically in production. Build your own evals. NIST: AI Benchmarks Don't Measure What They Claim* MIT reviewed 300+ AI implementations: 85% failed, 91% of models degrade silently. The 5% that succeeded built measurement into the product from day one. 85% of AI Projects Fail, 91% of Models Degrade SilentlyKey takeawaysThe throughline across this edition is unmistakable: capability without measurement is theater. From the METR study showing zero productivity gains for experienced developers to MIT's finding that 85% of AI projects fail, the evidence converges on one point — the teams that win are the ones that prove their AI works.* Measure outcomes, not activity. Completion rates, token counts, and session length tell you your AI is running — not that it's working. Define what “working” means for your business before you ship.* Protect judgment. Automate everything else. The roles being hollowed out aren't the ones doing rote work — they're the ones asking the hard questions. If you're automating decisions instead of tasks, you're cutting the wrong layer.* Friction is a feature. Research consistently shows that removing struggle from AI workflows destroys learning and degrades skill. Build in the friction that keeps your team sharp, and strip out the friction that just wastes time.If your AI product ships well but you can't prove it drives growth, that's the gap PH1 closes. We help teams define what success looks like for AI experiences and build the measurement systems to prove it — from product discovery through scale. ph1.caThank you for supporting the Product Impact PodcastEvery episode tackles the gap between what AI products promise and what they actually deliver. Brittany and I bring in the builders, researchers, and leaders who are closing that gap — with frameworks, evidence, and hard-won lessons. If an episode shifted how you think about your product, share it. Follow the show so you never miss one. That's how we grow this community.* Episode 1: Why Your AI Metrics Are Lying to You* Vibe Coding Will Disrupt Product — Base44's Path to $80M* AI Trap: Hard Truths About the Job MarketBrowse all episodes at productimpactpod.com — filter by topic to find the episode that fits what you're working on right now. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit productimpactpod.substack.com

Business reliability refers to a company's consistent capacity to deliver products, services, or performance that satisfy customer expectations over time without failure. It represents trustworthiness, dependability, and operational stability, encompassing aspects such as availability (uptime), speed, and accuracy. Organizations that consistently uphold their commitments cultivate high customer satisfaction and support long-term sustainability. Mike Konrad is the founder and CEO of Aqueous Technologies, established in 1992 and recognized as a leader in post-reflow cleaning and reliability solutions for the electronics manufacturing industry. He hosts two acclaimed podcasts: Reliability Matters, which addresses electronics reliability, and The Reluctant Entrepreneur, offering insights into the experiences of business founders. With over 30 years of entrepreneurial and technical expertise, Mike brings a distinctive perspective at the intersection of business growth, innovation, and reliability. Upon founding Aqueous Technologies in 1992, Mike transitioned from product design to entrepreneurship out of necessity when his employer declined to pursue his innovative concept. Despite possessing strong technical proficiency, he lacked formal business education. Initially relying on traits such as determination, passion, and risk tolerance, Mike quickly understood the need to develop sound business judgment, implement prudent strategies, and adopt sustainable leadership practices. His journey reflects personal and professional development, including overcoming challenges and learning valuable lessons that shaped his approach. Mike also advocates for modern marketing strategies. He moved away from traditional promotional methods toward “conscious marketing,” prioritizing credibility and value provision. This approach resonates with younger decision-makers who favor research and substantiated claims over conventional advertising. As a respected speaker in both technical and academic domains, Mike delivers lectures on electronics reliability at industry events and discusses entrepreneurship candidly with engineering students at universities. He is also the author of The Reluctant Entrepreneur: Anatomy of a Business Startup, From Uncertainty to Unstoppable. For additional information: https://www.mikekonrad.com/ Email: mike@mikekonrad.com LinkedIn: @MikeKonrad Learn more about your ad choices. Visit megaphone.fm/adchoices

We unpack the latest J.D. Power quality survey and its surprises, including Lexus leading and Toyota slipping, and detail two engine recalls affecting 2023–2025 Nissan Rogues. Mike and Jeremy give a fun review of the 2026 Toyota Corolla XSE sedan, answer listener questions about restoring a 1970 Tempest, and share practical car-care tips. Plus an interview about the upcoming Pate Swap Meet, insight on a wave of EVs coming off lease and where buyers can find strong deals on used electric cars.

Aaron Bandler joins Something For Everybody this week. Aaron is a U.S. National Correspondent for Jewish News Syndicate (JNS), where he reports on stories of national relevance—related to Israel, antisemitism, and other issues of interest to the Jewish community. In this conversation, Aaron discusses the current state of anti-Israel sentiment, particularly on college campuses, and the influence of foreign funding, especially from Qatar. He delves into the misrepresentation of Zionism and the importance of U.S.-Israel relations. A significant portion of the discussion focuses on the bias present in Wikipedia, how it affects public perception, and the challenges of correcting misinformation. -

Reliability Engineering Competencies Abstract Enrico and Fred discuss the essential or basic skills necessary to be a good reliability engineer. Key Points Join Enrico and Fred as they discuss a short list of skills or knowledge necessary to be a successful reliability engineer. Topics include: Reliability statistics and testing knowledge Understanding failure mechanisms and how […]

We dive into the prevalent issues surrounding Nissan vehicles, particularly their notorious cvt transmission problems. Many mechanics offer candid mechanic advice on why these are often considered the worst cars, highlighting significant nissan transmission problems. This video provides insights into the challenges of car repair and common engine problems, helping you understand which cars not to buy.Full video on Youtube:https://youtu.be/Jb6uXqS6Z8YGrab a copy of my book: https://partsmanagerpro.gumroad.com/l/qtqax"The Parts Manager Guide" - https://www.amazon.com/Parts-Manager-Guide-Strategies-Maximize-ebook/dp/B09S23HQ1P/ref=sr_1_4?crid=3UZYOGZJUNJ9K&keywords=parts+manager+guide&qid=1644443157&sprefix=parts+manager+guid%2Caps%2C244&sr=8-4Become a supporter of this podcast: https://www.spreaker.com/podcast/the-motor-files-podcast--4960744/support.

In this IMC 2025 episode of Reliability Radio, Hetal Lee, Workplace Management Lead at JLL, shares a practical perspective on integrating reliability and asset management into broader organizational strategy. The conversation builds on the conference's opening keynote, reinforcing that reliability, data, and business objectives can no longer be treated as separate initiatives.

EirGrid, which is responsible for balancing electricity supply and demand every minute of the day from the National Control Centre, while also strategically planning for Ireland's long-term electricity needs, has released its annual All-Island Resource Adequacy Assessment, which looks at the balance between electricity demand and supply in Ireland over 10 years. The assessment looks at demand (what Ireland needs), generation (what can supply the demand) and adequacy (the potential gap between the two). Since 2016, EirGrid has warned of an increasing tightness between supply and demand. In this context, the objective of the report is to allow industry, government, regulators and other stakeholders to facilitate the transition to renewable energy, supporting social and economic growth into the future, meeting future demand, while ensuring the secure and resilient operation of the electricity system. Each year, EirGrid 'freeze' the data on which the calculations are measured to ensure an accurate assessment is provided. The freeze date for demand data for this report was 30?June 2025. Demand (what Ireland needs) Predicting future electricity demand is a complex task. EirGrid looks at a range of scenarios so that it can understand the possible outcomes depending on a range of influential factors. These variables include aspects such as temperature, the economy, contracted large energy user growth, energy efficiency as well as the electrification of heat and transport. These inform the three demand scenarios for Ireland which are median demand, low demand and high demand. The median secure demand scenario is EirGrid's best estimate of what might happen in the future. Looking out to 2030 and beyond, the median scenario shows that electricity demand is set to continue to increase as consumers use electricity in new ways, with slower but sustained growth then out to 2035. Government policies are expected to help guide us away from fossil fuels toward alternative heating methods, such as electric heat pumps, and cleaner modes of transport, such as electric vehicles. Generation (what can supply this demand) Over the next 10 years, the sources of electricity supply will continue to change as the country transitions to a predominantly renewable power system. EirGrid expects new generation capacity will be delivered through the SEM capacity auctions and additional renewable capacity will be introduced through the Renewable Energy Support Scheme (RESS) and Offshore RESS auctions. Adequacy (gap between demand and generation) In the report, adequacy is assessed against a standard called the 'Reliability Standard'. This standard is set by the Department of Climate, Energy and the Environment (DCEE) working with our regulator, the Commission for Regulation of Utilities (CRU). The Reliability Standard is expressed using Loss of Load Expectation (LOLE), which is the number of hours per year that a country's electricity production is not expected to meet its demand. It is important to note that the LOLE measurement does not necessarily mean that electricity consumers will be without supply for any period. The output from this assessment is a forecast of LOLE and an indication of whether or not the system requires additional capacity to operate securely. The Reliability Standard for Ireland is three hours LOLE. The report also presents different scenarios when assessing adequacy, looking at two different scenarios, one based on normal operating conditions (base scenario) and one factoring in more challenging conditions (secure scenario).? EirGrid considers the secure assessment is most prudent and should be considered as the central scenario for adequacy assessments, noting that capacity market auctions will procure new capacity if required to address capacity shortfalls in the medium to long term. According to the report: From 2026 to 2028, both assessments (base and secure) show the system is outside of?the?Reliability?Standard?of 3 hours,?mea...

Support the ALLSMITH missionIf this conversation resonates, here are a few ways to support the movement:Subscribe to the ALLSMITH Podcast on YouTube, Apple, and SpotifyShare this episode with a coach, parent, or partner building something meaningfulLeave a 5 star review to help us reach more humans seeking alignmentFollow @allsmithco, @therealbrycesmith, and our guest @itspatbarberExplore coaching, events, and the ALLSMITH Social Club at www.allsmith.coYour support helps us bring honest conversations to fitness, leadership, and life.⸻Episode overviewHigh performers know discipline.Early alarms. Hard sessions. Long days.But there is a quieter question beneath the grind.What if the same drive building your body and career is quietly eroding the relationships you care about most?In Ep. 126, Bryce sits with former CrossFit Games athlete, master coach educator, Street Parking coach, and founder of The Father's Guild, Pat Barber.This is not just a fitness conversation.It is about identity beyond competition.Leadership inside the home.Fatherhood as craft.Success without relational drift.Pat's evolution from elite competitor to mentor of coaches to architect of fathers offers a grounded lens on performance and presence. Together, Bryce and Pat explore how to pursue excellence without sacrificing connection and how strength is ultimately measured by the stability of the lives we build around us.⸻Themes exploredCompeting versus contributingCoaching as stewardshipFatherhood as daily repsIdentity beyond achievementPresence in a distracted cultureBuilding strong homes and bodiesEmotional regulation in leadershipMentorship in fitnessLegacy through family impact⸻Key takeawaysPerformance without presence carries hidden costTraining discipline can transfer into family lifeChildren model behavior more than adviceLeadership begins with self regulationFatherhood requires intention and skillLegacy is built in ordinary momentsStrength shows in consistency across life domains⸻Memorable quotes“You can win on the floor and still lose at home.”“The real scoreboard is the trust of your family.”“Fatherhood is practiced daily, not claimed once.”“Coaching is stewardship.”“Presence is the highest form of love.”“Children inherit habits before words.”“Legacy is built in the living room.”⸻Why this mattersModern culture measures visible success.Performance. Status. Output.But the metrics that shape lives stay invisible.Trust. Safety. Reliability. Presence.As coaches, athletes, and builders push forward, relational drift can happen quietly. This conversation invites a redefinition of strength that integrates ambition and family rather than trading one for the other.⸻Closing reflectionBars get re racked.Whiteboards erased.Podiums removed.What remains are the people who shared life with us while we were busy building it.Fitness shapes the body.Coaching shapes performance.Presence shapes humans.The strongest homes are trained like anything else.Intentionally.Repeatedly.With love.⸻Subscribe for weekly conversations with leaders, athletes, and builders exploring fitness, mindset, leadershipThank you for Listening! Learn more below.ALLSMITH IG ALLSMITH YouTubeBryce Smith IG

The Thing Nobody Wants to Say Out Loud I get ghosted. A lot. Free consults, strategy calls, portfolio reviews. People who asked, people who booked, people who confirmed. And then? Nothing. No email. No reschedule. No apology. Just a no-show. This episode isn't about shame. It's about an honest question: if you're skipping the low-stakes stuff, what happens when the stakes are actually high? What Ghosting a Free Call Really Costs You It's easy to tell yourself a missed consult doesn't matter. It's free. It's casual. It's not an audition. But here's the thing. It kind of is. Every commitment you make, even a small one, is a chance to practice being the kind of professional people want to work with. Casting directors don't see your intentions. Agents don't feel your potential. Clients don't care how overwhelmed you are. They experience your behavior. And if your behavior says "unreliable," that's what sticks. Missed calls. Unsubmitted emails. Deadlines that slipped. Relationships that quietly went cold. None of these feel like a big break moment. But they add up. And six months later, when things feel slow, this is often why. Disorganization Is Not a Personality Type Being bad at time management is not a creative badge. Being bad at email is not a quirk. These are systems problems. And systems can be fixed. You don't need a $40 productivity app. You need a calendar, a reminder system, and one place where all your commitments live. That's it. I have ADHD. I know firsthand how hard this can be. And I also know it can be done. Memory is unreliable. Systems aren't. The Homework (Yes, There Is Homework) Here's a practical reset you can start today. Audit your commitments. Write down everything you've said yes to this month. Every single thing. Then cancel what you genuinely can't honor, and cancel it cleanly. Don't ghost it. Pick one system and actually use it. Google Calendar, iCal, a paper notebook. One place. Set reminders like you don't trust yourself, because right now, maybe you shouldn't. Practice showing up early. Early is calm. Early is professional. Early is power. I grew up hearing: if you're 15 minutes early, you're on time. If you're on time, you're late. If you're late, you're fired. That habit has saved my career more times than I can count. The Real Question Can you be trusted to do your job? Not talent. Not range. Not training or demos or headshots. Can people trust you to show up, follow through, and be where you said you'd be? If the answer is no right now, that's okay. Give yourself some grace. But start today. Because no one is coming to rescue your career. You don't need rescuing. You need structure. Talent opens doors. Reliability keeps them open. Work With Me Want a free 15-minute consult? Reach out at mandy@actingbusinessbootcamp.com and yes, show up for it. Browse current classes and coaching at actingbusinessbootcamp.com Join the Discord and follow me on Substack at Astoria Redhead

In this session from IMC, Greg Elliott, a prominent expert from JLL, delves into the essential strategies for navigating the evolving landscape of wealth and asset management in 2025. He discusses the critical balance between growth and profitability, the modernization of data to harness the power of AI, and the integration of sustainability into core business operations. Elliott provides actionable insights on building cyber resilience, adapting to new regulatory frameworks, and leveraging managed services to drive efficiency and scalability in a volatile global market.

What does it really mean to trust someone—and how intentional are you about the choices you make every day? You'll rethink trust from the inside out as Charles Feltman challenges the idea that trust is vague or emotional and reframes it as a conscious decision to make something you value vulnerable to another person's actions. You'll learn how trust works in both directions and why being trustworthy isn't enough if you're unwilling to extend trust to others. Charles shares a practical, behavior-based framework built around four key domains—care, sincerity, reliability, and competence—along with real workplace examples that show how trust can be strengthened, assessed, repaired, or rebuilt through honest conversation and clear commitments. Charles has nearly three decades of experience helping leaders and teams build, maintain, and, when necessary, restore trust. He currently runs trust-building workshops under the banner of Trust at Work® and also speaks on the subject. An overarching goal in his work is that his clients achieve what they consider to be their full potential as leaders and as human beings. He is the author of The Thin Book® of Trust: An Essential Primer for Building Trust at Work. Currently in its 3rd edition, it has sold over 100,000 copies worldwide. You'll discover: How to define trust in clear, practical termsThe four domains that determine whether trust grows or erodesWhy focusing on behavior—not character—matters mostHow leaders can repair trust after a misstepA shared language that makes trust discussable at workConnect with Charles FeltmanLinkedIn Website Insight Coaching  BooksThe Thin Book of Trust, 3rd edition: An Essential Primer for Building Trust at WorkCheck out all the episodesLeave a review on Apple PodcastsConnect with Meredith on LinkedIn

In this episode of Reliability Radio, we sit down with Chris Sobota and Glenn Gardner of Waites to explore the past, present, and future of condition monitoring. We discuss the transition from manual analog data to the current revolution of wireless sensors and cloud-based AI.

In the last 8-10 minutes of the class, when talking about fulfilled prophecy, I misspoke about the probability being 100x more with every zero. I should have said 10x more with every zero.

A new MP3 sermon from Providence Baptist Church is now available on SermonAudio with the following details: Title: New Testament Reliability Speaker: Dr. James White Broadcaster: Providence Baptist Church Event: Conference Date: 8/29/2020 Length: 91 min.

Reliability in Start-up vs. Established Businesses Abstract Dianna and Mojan discuss reliability in start-up vs. established businesses. Key Points Join Dianna and Mojan as they compare the challenges of implementing reliability programs in fast-paced startups versus well-resourced, established corporations. Topics include: the multi-hat reality short-term vs. long-term reliability demystifying the “black box” influencing through options […]

The Kaikaku Method is a behavioral enforcement system that builds reliable execution for high-performing men tired of negotiating with themselves. Table of Contents Toggle The Kaikaku Method: Execution Before AwarenessWhat The Kaikaku Method IsWhy Execution Comes Before AwarenessHow The Kaikaku Method WorksWhat The Kaikaku Method Is NotWho The Kaikaku Method Is ForThe Relationship to Conscious WarriorA Direct Question The Kaikaku Method: Execution Before Awareness There's a hard truth most high-performing men eventually face. Awareness is rarely the problem. Execution is. You already know how to train. You understand progressive overload. You know recovery matters. You've read about sleep, stress, and focus. You can structure a productive week on paper without breaking a sweat. You understand that consistency beats intensity and that discipline outperforms motivation. And yet, execution drifts. You miss sessions you planned to complete. Recovery becomes optional. Standards soften. Not dramatically. Just enough. The edge dulls slowly, almost invisibly. That gap between knowing and doing is where The Kaikaku Method operates. It is built to close that gap with structure, not inspiration. What The Kaikaku Method Is The Kaikaku Method is a behavioral enforcement system. It is designed for capable men who understand performance but lack consistent execution under pressure. These are not beginners. These are not men who need to be convinced that discipline matters. They already believe in it. The problem is not belief. It's behavioral reliability. This is not a motivational framework. It does not rely on emotional peaks or inspirational messaging. It is a structured system that builds reliable execution under real-world constraints—fatigue, stress, travel, responsibility, and distraction. The Kaikaku Method focuses on one outcome: behavioral reliability. Not peak states. Not emotional breakthroughs. Not identity exploration. Reliable execution. Why Execution Comes Before Awareness Many men attempt to fix inconsistency with more insight. They read another book. Listen to another podcast. Reflect longer. Analyze deeper. They assume that if they just understand themselves more clearly, their behavior will stabilize. But awareness without execution becomes intellectual comfort. You can explain your patterns. You can describe your tendencies. You can articulate your stress triggers. And still not execute. The Kaikaku Method takes a different stance. It stabilizes behavior first so that deeper work actually has ground to stand on. When execution becomes reliable—when training is completed, recovery is respected, and reporting is consistent—something shifts. Identity work deepens naturally. Clarity strengthens. Confidence stops being theoretical. Without reliability, everything else floats. Execution is the foundation. Awareness builds on top of it. How The Kaikaku Method Works The structure is direct and sequential. Entry leads to baseline assessment. Baseline leads to commitment lock. Once committed, you enter the execution loop. Inside that loop, strength training, conditioning, recovery standards, and binary reporting become non-negotiable. Training is completed or it is not. Recovery is met or it is not. Reporting is submitted or it is not. There is no emotional negotiation layer. If standards are met, progression occurs. If standards are violated, correction occurs. There are no parallel paths inside The Kaikaku Method. No personalization of philosophy. No mid-cycle reinterpretation of commitments. Structure creates freedom. Standards protect execution. What The Kaikaku Method Is Not The Kaikaku Method is not therapy. It is not trauma work, spiritual exploration, or biohacking optimization. It does not promise happiness, fulfillment, or transformation. It does not attempt to repair identity before behavior stabilizes. It does not exist to make you feel better about inconsistency or explain why it exists. It builds execution reliability. Everything else is a potential byproduct. Reliability is the objective. Who The Kaikaku Method Is For The Kaikaku Method is built for men between 35 and 55 who are already capable. These are men with responsibility, ambition, and experience. They have achieved before. They understand standards. They simply want those standards enforced consistently. These men are not searching for hype. They are searching for clarity. They want fewer variables, fewer emotional swings, and a standard that holds under pressure. They are tired of revisiting decisions they already made. Tired of explaining missed commitments. Ready to operate with fewer words and more proof. If you need motivation to execute, this is not the system. If you are looking for emotional processing as the primary tool, this is not the system. If you are ready for structure without negotiation, it may be exactly what you need. The Relationship to Conscious Warrior Conscious Warrior explores awareness, alignment, and identity integration. The Kaikaku Method builds behavioral stability. One asks who you are becoming. The other asks whether you executed today. Awareness without execution is fantasy. Execution without awareness is blind. The order matters. Execution first. Integration later. A Direct Question If you are reading this, ask yourself one question. Do you need more insight, or do you need more structure? If the answer is structure, The Kaikaku Method exists for that reason. .lwrp.link-whisper-related-posts{ margin-top: 40px; margin-bottom: 30px; } .lwrp .lwrp-title{ }.lwrp .lwrp-description{ } .lwrp .lwrp-list-container{ } .lwrp .lwrp-list-multi-container{ display: flex; } .lwrp .lwrp-list-double{ width: 48%; } .lwrp .lwrp-list-triple{ width: 32%; } .lwrp .lwrp-list-row-container{ display: flex; justify-content: space-between; } .lwrp .lwrp-list-row-container .lwrp-list-item{ width: calc(25% - 20px); } .lwrp .lwrp-list-item:not(.lwrp-no-posts-message-item){ } .lwrp .lwrp-list-item img{ max-width: 100%; height: auto; object-fit: cover; aspect-ratio: 1 / 1; } .lwrp .lwrp-list-item.lwrp-empty-list-item{ background: initial !important; } .lwrp .lwrp-list-item .lwrp-list-link .lwrp-list-link-title-text, .lwrp .lwrp-list-item .lwrp-list-no-posts-message{ }@media screen and (max-width: 480px) { .lwrp.link-whisper-related-posts{ } .lwrp .lwrp-title{ }.lwrp .lwrp-description{ } .lwrp .lwrp-list-multi-container{ flex-direction: column; } .lwrp .lwrp-list-multi-container ul.lwrp-list{ margin-top: 0px; margin-bottom: 0px; padding-top: 0px; padding-bottom: 0px; } .lwrp .lwrp-list-double, .lwrp .lwrp-list-triple{ width: 100%; } .lwrp .lwrp-list-row-container{ justify-content: initial; flex-direction: column; } .lwrp .lwrp-list-row-container .lwrp-list-item{ width: 100%; } .lwrp .lwrp-list-item:not(.lwrp-no-posts-message-item){ } .lwrp .lwrp-list-item .lwrp-list-link .lwrp-list-link-title-text, .lwrp .lwrp-list-item .lwrp-list-no-posts-message{ }; } Related Posts Want To Be Truly Effective in Life?Work Life Balance Through Personal Mastery10 Must Have Leadership Skills: Warrior Mind Podcast #381Stoicism and the Warrior Mindset Part 2 7 Secrets on How to Increase Mental Toughness7 Things Mentally Strong People Avoid DoingEmbracing Stress: A Guide to Building Mental StrengthEmbracing Challenge – Warrior Mind Podcast #661

Reliability builds trust faster than charisma ever will. Follow through consistently. Friendship in networking is all about being safe.

Join us in this episode of Qualitative Conversations as  Melissa Hauber-Özer  (University of Missouri) hosts Meagan Call-Cummings (Johns Hopkins University) and  Giovanni Dazzo  (University of Georgia) to explore the transformative approach of critical participatory inquiry. Discover how this methodology promotes equitable knowledge production and social change, rooted in global South perspectives and critical theory. Their work, Critical Participatory Inquiry: An Interdisciplinary Guide, was honored with the AERA Qualitative Research SIG Book Award for 2025. Featured Resources:Call-Cummings, M., Dazzo, G. P., & Hauber-Özer, M. (2023). Critical participatory inquiry: An interdisciplinary guide. Sage Publications.  Fals-Borda, O., Rahman, M.A. (1991). Action and Knowledge: Breaking the Monopoly with Participatory Action-Research. Bloomsbury Academic Call-Cummings, M., Hauber-Özer, M., & Dazzo, G. P. (Eds.). (2023). The Routledge International Handbook of Critical Participatory Inquiry in Transnational Research Contexts. Taylor & Francis Group.   Kirk, J., & Miller, M. L. (1986).Reliability and validity in qualitative research (Vol. 1). Sage.  Scholars mentioned: Paulo Freire Frantz FanonWalter D. Mignolo Sharrell Hassell-Goodman  Production Credits:Melissa Hauber-Özer - Host Meagan Call-Cummings - Co-Host Giovanni Dazzo - Co-Host Jacob Bunch - Editor Pallavi Chhabra and Jacob Bunch - Show Notes and Resources Qualitative Research SIG Podcast Committee - Production AdvisoryQualitative Research SIG Podcast Committee Members: Laetitia Adelson Jacob Bunch,  Committee Chair Pallavi ChhabraJonathan Coker Joshua Cruz Melissa Hauber-Özer Emma McMain  Seth McCall Elizabeth Morgan Elizabeth Pope 

Agentic AI is being deployed as production infrastructure in enterprise settings, but prevailing frameworks remain unreliable for mission-critical operations. Dave Sobel and Ron Aroussi from Muxie underscored that while AI agents are functional—especially in non-deterministic contexts like customer support—expectations of deterministic, workflow-based reliability are not met. The move from demonstration agents to production-scale tools brings heightened attention to issues of reliability, observability, and especially risk of vendor lock-in for Managed Service Providers (MSPs) and their clients.Operational deployment of AI agents currently gravitates toward roles with minimal operational risk, such as customer-facing chatbots or internal chief-of-staff assistants. Aroussi explained that while such agents can automate initial support tiers and internal daily briefings, their unpredictability and potential for error limit their use in processes demanding strict oversight and accountability. He identified two core use cases—external (customer support) and internal (personalized information management)—explicitly noting that agents are best positioned to augment rather than fully automate complex workflows at this stage.A critical risk for MSPs lies in attempting to retrofit existing software frameworks to support agents, which introduces integration complexity and increases the likelihood of operational failures. Purpose-built infrastructure for agentic AI offers better alignment between AI capabilities and production requirements, with Aroussi citing drastically reduced hallucination rates and improved oversight when using native tools. Open source is identified as a foundational element for AI development, but it incurs its own risks, particularly around third-party code quality and the long-term sustainability of community-driven projects.The practical implication for MSPs and IT service providers is clear: a cautious, incremental adoption approach focused on low-risk use cases, coupled with rigorous controls on agent permissions and robust audit trails, is essential. Decision-makers should avoid assuming agents operate with the reliability or accountability of traditional software, prioritize operational transparency, and ensure that responsibilities for agent actions are clearly defined and enforced at the implementation level. Vendor lock-in and software provenance remain significant governance concerns as agentic AI moves from experiment to infrastructure.

The Munich Security Conference is one of the world's key diplomatic gatherings. This year, a serious and almost shocking question hangs over the event: Is the United States still a reliable ally? Compass Points moderator Nick Schifrin is in Munich and spoke with three leaders: NATO Secretary-General Mark Rutte, Finnish President Alexander Stubb and Canadian Foreign Minister Anita Anand. PBS News is supported by - https://www.pbs.org/newshour/about/funders. Hosted on Acast. See acast.com/privacy

America's historic allies came together at one of the world's key diplomatic gatherings to try and chart a new future. The Munich Security Conference has long hosted frank debates, and this year, European leaders confronted a world in which some of them are unsure whether the United States will continue to help guarantee their security. Nick Schifrin reports. PBS News is supported by - https://www.pbs.org/newshour/about/funders. Hosted on Acast. See acast.com/privacy

Reliability issues started to show on the second day of F1 testing… but a certain Monégasque driver IS BACK AT THE TOP. Sign up to our Patreon! You'll get access to every P1 episode ad-free, extended versions of every 2026 race review, early access to tickets & merch, and access to our Discord server where you can chat with us and other F1 fans! Click here to sign up now: http://patreon.com/mattp1tommyFollow us on socials! You can find us on Twitter, Instagram, Twitch, YouTube and TikTok. Hosted on Acast. See acast.com/privacy for more information.

Leo Laporte and Paris Martineau go head-to-head over whether today's AI breakthroughs are truly unprecedented or history repeating itself. Hear what happens when the show's hosts use cutting-edge tools to challenge each other's optimism, skepticism, and predictions for the future of work. Something Big Is Happening Building a C compiler with a team of parallel Claudes Amazon's $8 billion Anthropic investment balloons to $61 billion Google is going for the jugular — by doubling capex and outspending the rest of Big Tech Google's Gemini app has surpassed 750M monthly active users OpenAI's Meta makeover ChatGPT's deep research tool adds a built-in document viewer so you can read its reports Alexa+, Amazon's AI assistant, is now available to everyone in the U.S. Amazon Plans To Use AI To Speed Up TV and Film Production AI didn't kill customer support. It's rebuilding it Worried about AI taking jobs? Ex-Microsoft exec tells parents what kind of education matters most for their kids. A new bill in New York would require disclaimers on AI-generated news content AI Bots Are Now a Signifigant Source of Web Traffic Crypto.com places $70M bet on AI.com domain ahead of Super Bowl Frontier AI agents violate ethical constraints 30–50% of time, pressured by KPIs How To Think About AI: Is It The Tool, Or Are You? LEO! Reliability of LLMs as medical assistants for the general public: a randomized preregistered study HBR: AI Doesn't Reduce Work—It Intensifies It As AI enters the operating room, reports arise of botched surgeries and misidentified body parts Waymo Exec Admits Remote Operators in Philippines Help Guide US Robotaxis Medicare's new pilot program taps AI to review claims. Here's why it's risky Section 230 Turns 30; Both Parties Want It Gone—For Contradictory Reasons Meet Gizmo: A TikTok for interactive, vibe-coded mini apps The Evolution of Bengt Betjänt Uber Eats adds AI assistant to help with grocery shopping Is having AI ghostwrite your Valentine's Day messages a good idea? As Saudi Arabia's 100-Mile Skyscraper Crumbles, They're Replacing It With the Most Desperate Thing Imaginable YouTube Argues It Isn't Social Media in Landmark Tech Addiction Trial 'Man down:' Watch Amazon delivery drone crash in North Texas Understanding Neural Network, Visually Leo's AI Journey The TIMELINE TWiT x 2 in Super Bowl commercials Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: preview.modulate.ai Melissa.com/twit spaceship.com/twit

Leo Laporte and Paris Martineau go head-to-head over whether today's AI breakthroughs are truly unprecedented or history repeating itself. Hear what happens when the show's hosts use cutting-edge tools to challenge each other's optimism, skepticism, and predictions for the future of work. Something Big Is Happening Building a C compiler with a team of parallel Claudes Amazon's $8 billion Anthropic investment balloons to $61 billion Google is going for the jugular — by doubling capex and outspending the rest of Big Tech Google's Gemini app has surpassed 750M monthly active users OpenAI's Meta makeover ChatGPT's deep research tool adds a built-in document viewer so you can read its reports Alexa+, Amazon's AI assistant, is now available to everyone in the U.S. Amazon Plans To Use AI To Speed Up TV and Film Production AI didn't kill customer support. It's rebuilding it Worried about AI taking jobs? Ex-Microsoft exec tells parents what kind of education matters most for their kids. A new bill in New York would require disclaimers on AI-generated news content AI Bots Are Now a Signifigant Source of Web Traffic Crypto.com places $70M bet on AI.com domain ahead of Super Bowl Frontier AI agents violate ethical constraints 30–50% of time, pressured by KPIs How To Think About AI: Is It The Tool, Or Are You? LEO! Reliability of LLMs as medical assistants for the general public: a randomized preregistered study HBR: AI Doesn't Reduce Work—It Intensifies It As AI enters the operating room, reports arise of botched surgeries and misidentified body parts Waymo Exec Admits Remote Operators in Philippines Help Guide US Robotaxis Medicare's new pilot program taps AI to review claims. Here's why it's risky Section 230 Turns 30; Both Parties Want It Gone—For Contradictory Reasons Meet Gizmo: A TikTok for interactive, vibe-coded mini apps The Evolution of Bengt Betjänt Uber Eats adds AI assistant to help with grocery shopping Is having AI ghostwrite your Valentine's Day messages a good idea? As Saudi Arabia's 100-Mile Skyscraper Crumbles, They're Replacing It With the Most Desperate Thing Imaginable YouTube Argues It Isn't Social Media in Landmark Tech Addiction Trial 'Man down:' Watch Amazon delivery drone crash in North Texas Understanding Neural Network, Visually Leo's AI Journey The TIMELINE TWiT x 2 in Super Bowl commercials Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: preview.modulate.ai Melissa.com/twit spaceship.com/twit

Leo Laporte and Paris Martineau go head-to-head over whether today's AI breakthroughs are truly unprecedented or history repeating itself. Hear what happens when the show's hosts use cutting-edge tools to challenge each other's optimism, skepticism, and predictions for the future of work. Something Big Is Happening Building a C compiler with a team of parallel Claudes Amazon's $8 billion Anthropic investment balloons to $61 billion Google is going for the jugular — by doubling capex and outspending the rest of Big Tech Google's Gemini app has surpassed 750M monthly active users OpenAI's Meta makeover ChatGPT's deep research tool adds a built-in document viewer so you can read its reports Alexa+, Amazon's AI assistant, is now available to everyone in the U.S. Amazon Plans To Use AI To Speed Up TV and Film Production AI didn't kill customer support. It's rebuilding it Worried about AI taking jobs? Ex-Microsoft exec tells parents what kind of education matters most for their kids. A new bill in New York would require disclaimers on AI-generated news content AI Bots Are Now a Signifigant Source of Web Traffic Crypto.com places $70M bet on AI.com domain ahead of Super Bowl Frontier AI agents violate ethical constraints 30–50% of time, pressured by KPIs How To Think About AI: Is It The Tool, Or Are You? LEO! Reliability of LLMs as medical assistants for the general public: a randomized preregistered study HBR: AI Doesn't Reduce Work—It Intensifies It As AI enters the operating room, reports arise of botched surgeries and misidentified body parts Waymo Exec Admits Remote Operators in Philippines Help Guide US Robotaxis Medicare's new pilot program taps AI to review claims. Here's why it's risky Section 230 Turns 30; Both Parties Want It Gone—For Contradictory Reasons Meet Gizmo: A TikTok for interactive, vibe-coded mini apps The Evolution of Bengt Betjänt Uber Eats adds AI assistant to help with grocery shopping Is having AI ghostwrite your Valentine's Day messages a good idea? As Saudi Arabia's 100-Mile Skyscraper Crumbles, They're Replacing It With the Most Desperate Thing Imaginable YouTube Argues It Isn't Social Media in Landmark Tech Addiction Trial 'Man down:' Watch Amazon delivery drone crash in North Texas Understanding Neural Network, Visually Leo's AI Journey The TIMELINE TWiT x 2 in Super Bowl commercials Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: preview.modulate.ai Melissa.com/twit spaceship.com/twit