Podcasts about cheaper

When Doreen Orishaba helped build Africa's first electric car in 2011, skeptics dismissed it as a “toy for the Western world.” Now she's running dozens of electric buses across Kenya and Rwanda, moving thousands of passengers to work every day on zero-exhaust vehicles powered by near-silent engines. She breaks down what it actually takes to scale clean transport — and why skipping the gas station pit stop is closer than you may think.Learn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.

According to recent data from personal finance website NimbleFins, the average British family of four spent around £4,678 for a 9-night holiday abroad in 2023. And of that total amount, £1,828 went towards flights, nearly 40%, reflecting the reality that air fares still account for a high proportion of the total cost of a holiday.  And experts say that flight prices are set to continue rising in the coming years, as more expensive sustainable aviation fuels are brought in to replace traditional kerosene. With that in mind, let's discuss some ways in which you can make some savings on the most expensive part of your next holiday. What should I do if I'm buying online? When's the best time to make my booking? In under 3 minutes, we answer your questions! To listen to the last episodes, you can click here: ⁠⁠How much do surrogate mothers get paid?⁠⁠ ⁠⁠What is the Barnum effect?⁠⁠ ⁠⁠How to spot, prevent and treat heatstroke ?⁠⁠ A podcast written and realised by Joseph Chance. First broadcast: 14/01/2024 Learn more about your ad choices. Visit megaphone.fm/adchoices

Millennials didn't just change how people invest -- they changed what investing even looks like. Cheaper, faster, more automated, and occasionally more dangerous than anything that came before. The real question isn't whether to adopt their habits. It's which ones are actually building wealth and which ones are quietly lighting your portfolio on fire. Joe, OG, Jen Smith (Frugal Friends), and Doc G (Earn & Invest) sort the signal from the noise. What You'll Walk Away With The quiet Millennial investing shift that made building wealth more accessible than any generation before them -- and why most people missed it Why automation may be the single most powerful tool in your financial stack, and the one condition that turns it against you The difference between technology built to help you invest and technology built to keep you tapping the trade button How budgeting apps can create real spending clarity -- or accidentally trigger what the crew calls "procrasti-spending" Why fewer investment decisions often outperform more of them, and what the research actually says The hidden cost of frictionless trading and why the winning move is sometimes the most boring one available Where to take big swings if you want outsized rewards -- and why your long-term portfolio probably isn't the right arena How Millennials are diversifying beyond just assets, and what that broader thinking means for investors in their 40s The honest tension between values-based investing and long-term returns -- and how serious investors are navigating it without sacrificing either What growing portfolio customization actually means for everyday investors who aren't managing millions Why This Matters Now If you're in your 40s, you've watched an entire new financial infrastructure get built around a generation younger than you -- and you may be wondering what's worth borrowing. More access and more information don't automatically produce better outcomes. Knowing which Millennial habits genuinely compound over time, and which ones just feel productive, is the kind of edge that shows up in your account balance a decade from now. From the Basement OG makes his case for patience (again), Doc G steers things toward the bigger life picture, and Jen Smith grounds the conversation in the money habits real people actually use. Doug surfaces a trivia question involving a NASA probe budget -- and whether you think you know the answer or not, the basement scoreboard has a way of humbling even the most confident Stacker. Deeper dives with curated links, topics, and discussions are in our newsletter, The 201, available at https://www.StackingBenjamins.com/201 Enjoy! Learn more about your ad choices. Visit podcastchoices.com/adchoices

On Monday, Live Nation Entertainment Inc. reached a settlement with the Department of Justice (DOJ) a week into its antitrust trial. The government had argued that the company's subsidiary Ticketmaster constituted an illegal monopoly over the ticketing industry. As conditions for the settlement, Ticketmaster agreed to provide a standalone ticketing system for third-party use, divest from exclusive arrangements with up to 13 amphitheaters, reserve 50% of tickets for nonexclusive venues, and cap ticketing service fees at 15% for events in amphitheaters it owns. Ad-free podcasts are here!To listen to this podcast ad-free, and to enjoy our subscriber only premium content, go to ReadTangle.com to sign up!You can read today's podcast⁠ ⁠⁠here⁠⁠⁠, our “Under the Radar” story ⁠here and today's “Have a nice day” story ⁠here⁠.You can subscribe to Tangle by clicking here or drop something in our tip jar by clicking here. Take the survey: What do you think of the settlement? Let us know.Our Executive Editor and Founder is Isaac Saul. Our Executive Producer is Jon Lall.This podcast was written by: Will Kaback and audio edited and mixed by Dewey Thomas. Music for the podcast was produced by Diet 75.Our newsletter is edited by Managing Editor Ari Weitzman, Senior Editor Will Kaback, Lindsey Knuth, Bailey Saul, and Audrey Moorehead. Hosted on Acast. See acast.com/privacy for more information.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to measure AI proficiency impact beyond speed. You’ll discover why quality matters more than volume when AI accelerates work. You’ll learn a six‑level framework that lets you map your AI skill growth. You’ll see practical steps to protect your role in fast‑moving companies. 00:00 – Introduction 02:45 – The speed‑only trap 05:30 – Introducing the six‑level AI proficiency model 09:10 – Quality vs quantity in AI output 12:40 – Managing AI access and fairness 16:20 – Actionable steps for managers and individuals 20:00 – Call to action Watch the full episode to level up your AI leadership. Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-ai-proficiency-measuring-ai-performance.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about AI and the way the things that we are measuring in business to measure AIs, the productivity, the benefits that you’re getting out of it. One of my favorite apps, Katie, is called Blind. This is an anonymous confessions app for the business world where people who work at companies—mostly in big business and big tech—share anonymous confessions. They have to say what company they’re with, but that’s it. There were three posts that really caught my eye over the weekend. The first was from a person who works at Capital One bank who said, “Hi, I’m a junior software engineer.” Three years into my career, my co‑workers are pumping out so many poll requests with Claude code and blitzing through jobs that used to take three to five days in less than an hour. I feel like every day at the office is a race to see who can generate more poll requests and complete them than anyone else. The second one was from JP Morgan Chase saying, “I just downloaded Claude coat and wtf. I don’t know what to think. Either we are cooked or saved.” The third was from an engineer at Tesla who said, “I joined recently as a contractor and don’t have access to Claude. I’m slower than the others on my team and it stresses me out.” So my question to you is this, Katie: Obviously people are using generative AI to move very fast. However, I don’t know if fast is the metric that we should be looking at here, particularly since a lot of people who manage coders don’t necessarily manage them well. They don’t. For example, very famously, Elon Musk, when he took over Twitter, fired people who didn’t write enough code. He measured people’s productivity solely on lines of code written. Anyone who’s actually written code for a living knows you want less code written rather than more because there’s a certain amount of elegance to writing less code. So my question to you is, as we talk about AI proficiency—sort of AI proficiency week here at Trust Insights—what would you tell people who are managing people using AI about measuring their proficiency and measuring the results that they’re getting? Katie Robbert: So first, let me answer your question. No, I do not frequent—was it Blind? Yeah. Anyone who knows me knows that I am honest and direct to a fault. So no, that would annoy me more than anything—just say it to my face. But that aside, I understand why apps like that exist. Not every company builds a culture where an open‑door policy is actually true. The policy is: the door is open only if you have positive things to share; the door is closed if you have complaints. I sympathize with people who feel the need to turn to those kinds of apps to express concern, frustration, fear. It seems, Chris, that a lot of the fear over the past couple of years is: “Will AI take my job?” In those environments, leadership decisions about process and output are really pushing for AI to take the job. What I’m not seeing is what the success metrics are. If the metric is faster and more, then you’re missing the third most important one—quality. We don’t know what kind of quality is being produced. Given those short snippets of context, we can assume it’s probably mediocre. It’s probably slightly above the bar, but nothing outstanding—enough to get by, enough to keep the lights on. For some larger companies, that’s fine because you can bury mediocre work in the politics and red tape of an enterprise‑sized organization. No one really expects much more, which is a little sad. So what I would say to managers is, number one, if you’re not clear on what you’re being measured on, or if your success metric is faster and more, head for the hills—run. That is not good. I mean it in all sincerity; that is not going to serve you in the long run because those metrics are not sustainable. Christopher S. Penn: And yet that’s what—particularly at a bigger company—where I can definitely, obviously at a company like Trust Insights, we’re four people. Outcomes are something we all measure because we have a direct line to outcomes. If we sell more courses, book more keynote speeches, get more retainer clients, we all have a hand in that and can see very clearly the business outcome. At a company like JP Morgan Chase, Bank of America, or Capital One, there are hundreds of thousands of employees. Your line of sight to any kind of business outcome is probably five layers of management removed. The front line is way over there—tellers, for example. You write the software that writes the software that manages the system the tellers use. So you don’t have clear outcomes from a business‑level perspective. Because I used to work at places like AT&T where you are just a cog in the machine, your outcomes very often are either faster or more because no one knows what else to measure. Katie Robbert: In companies like that, those outcomes are—quote, unquote—good enough because of the nature of what you produce. Consumers have become so dependent on your company that we often talk about the really crappy customer service at cable and Internet providers. There are only so many of them, and they’re all the same. We have become reliant on that technology and have no choice but to put up with crappy service from the big providers. The same goes for the financial industry. We don’t have a choice other than to rely on these crappy companies because we aren’t equipped to stand up our own financial institutions and change the rules. It’s a big, old industry, and that’s why they operate the way they do. It’s disheartening. When it comes down to humans, you have to make your own personal choices. Are you okay contributing to the mediocrity of the company and never really advancing? Chris, what you’ve been saying—what is the art of the possible? They don’t know, but they also don’t care. They’re not looking to disrupt the industry. No other companies are starting up to disrupt them because they’re so massive; they’re okay with the status quo, changing at a glacial pace, if at all. It’s not a great story to tell. You might have a consistent paycheck, but you might not have a lot of passion for the work you do. It might just be clock in at nine, clock out at five, with two 15‑minute breaks and a 30‑minute lunch—and that’s fine for a lot of people. That works for survival. Outside of that work environment is where you find joy, passion, and the things you’re really interested in. All to say, the advice I would give to managers is: how much are you willing to put up with? Those industries aren’t going to change. Christopher S. Penn: So in the context of AI proficiency, what do you advise them to focus on? Knowing that, to your point, these places are so calcified, faster is one of the only benchmarks that matter, alongside constantly shrinking budgets. Cheaper is built in because you have to do 5 % less every year. How do you suggest a manager or employee who feels the fastest typist wins the day and gets the promotion—even if the quality is zero—handle this? The Tesla engineer example is interesting: they don’t have access to generative AI, co‑workers do, they’re much faster, and the contractor fears being fired. How do we resolve this for team members, knowing that these companies are so calcified that even if a department takes a stand on quality, the other twenty departments competing for budget will say, “Great, you focus on quality; we’ll take your budget because we’ll produce ten times more next year.” Even quality sucks. Katie Robbert: The Tesla example is an outlier. We don’t have context for why that person doesn’t have access to generative AI—maybe they’re brand new. Contractors don’t get access to paid tools, so that explains it. When we talk about levels of AI proficiency, generic training doesn’t work; it doesn’t stick. Companies and individuals need to assess their AI proficiency. We typically do this on a six‑point scale, from Basic to Advanced. Within each level are skill sets: Level 1—editing, correcting grammar, asking it to write code. Level 2—writing code and reading code. Level 3—building QA plans. Level 4—providing business or product requirements, agile cues, or building a project plan. It’s like a career path: today I’m a junior analyst, tomorrow I want to be a senior analyst. The same applies to AI proficiency. My recommendation for managers and individuals stuck in those situations—or anyone looking to level up their AI proficiency—is to look at what’s next, what you don’t know. In the case of Tesla or JP Morgan, they will only produce a limited variety of things. In banking, look at the use cases and how you’re using AI. If you’re building code, how do you automate while keeping a human in the loop? Human‑in‑the‑loop means literal human intervention; you’re not just setting it and forgetting it like a rotisserie chicken. You must ensure a human is paying attention. Perhaps your KPIs aren’t quality of output, but if you start delivering incorrect work, customers complain, and the company loses money, the quality of your output will suddenly matter. It doesn’t matter how fast you’re creating it. For the Tesla contractor who lacks internal AI tools, they can get access to their own tools and build their skill set: acknowledge they’re not as fast as full‑time employees, determine what they need to do to match or outpace them, and work on it in their own time if they care. In that instance, the person is worried about job security, so it’s probably in their best interest to act. Christopher S. Penn: I like how you analogize the six levels to basically the three levels of management. The first two levels are individual contributors; the next two are middle management; the final two are leadership—going from typing the thing to delegating it entirely to someone else. That’s a great analogy. I think after this episode I’m going to revise that chart to help people wrap their brains around it. What does the level of AI performance efficiency mean? It means you go from individual contributor to leader, eventually leading machines—not necessarily humans. The Tesla example worries me because the company is essentially asking contractors to bring their own AI tools—a data‑privacy and security nightmare. Still, when I think about our clients who engage us for AI readiness assessments, we see a hierarchy of people with different proficiency levels outpacing each other. Is it fair to say that people with more proficiency—or who invest more in themselves—will blow past peers who are not? Do those peers need to worry about career viability when a peer becomes a mythical 10× engineer or marketer? Katie Robbert: The short answer is yes, but that’s true in any career path. Unless you’re in a company that promotes someone based on appearance rather than ability, which is another conversation, it’s absolutely true. Levels of AI proficiency run in parallel with organizational maturity. AI proficiency can’t stand alone without a certain amount of maturity within the organization. We often talk about foundations—the five Ps: documented processes, platforms, good governance, and privacy. Those have to exist for someone to be set up for success and move through AI proficiency levels. Otherwise, they’re becoming proficient against creative garbage. That won’t translate to better career opportunities because, boiled down, it’s garbage in, garbage out—you become proficient at moving garbage around, and nobody wants to hire that. Christopher S. Penn: An essay from last year discussed the AI reckoning in larger companies. It said AI is doing what decades of management consulting couldn’t—showcasing as you apply AI to processes. Entire levels of management are unnecessary, doing nothing but holding meetings and sending emails. The essay posited that mid‑level managers may realize they only push paper from point A to point B. In those cases, what should people in those positions think about for their own AI proficiency, knowing that improving it will reveal that they add little value? Katie Robbert: As someone who’s spent most of her career managing, I’ve often had to defend my role. Once, an agency considered dissolving my position because they thought I didn’t bring anything to the table—obviously not true. The team that grew from three people to a $3 million profit center also knows that. Managers need to think about delegation: not just handing off tasks, but ensuring the right people are in the right seats. Coaching is a big part of the job—bringing people up through their proficiency levels. If I’m a middle manager using the individual‑contributor, manager, leadership matrix, how do I get out of that vulnerable middle spot? Maybe I need to create more workflows, find efficiencies, save the budget, identify level‑one champions, and build them up. Those are the things someone in that middle vulnerable section should consider, because they are vulnerable. Many companies have managers who don’t do squat. I’ve worked alongside those managers; it’s maddening. One thing that will evolve with the manager role is that you can no longer be just a manager. You can’t just manage things; you have to bring some level of individual contribution and thought leadership to the role. It’s no longer enough to just manage—if that makes sense. Christopher S. Penn: It makes sense. Over the weekend I was working on something for myself: as technology evolves and I delegate more to it, the guardrails for quality have to get stricter. I revised the rules I use with my Python coding agents—new, enhanced, advanced rules with more guidelines and descriptions about what the agent is and is not allowed to do. This morning my kickoff process broke, so I told the agent to fix it according to the new rules. I realized the previous application sucked, and I fixed it. Now it’s much happier. I think building quality guardrails will differentiate managers who take on AI management—not just people management. Yes, AI can be faster, but there’s no guarantee it’s better. If I’m a manager who gets faster and better results than peers who just hope it works, I keep my job. What do you think about that angle? Katie Robbert: It makes sense. Take the middle‑manager example: the VP says, “Client needs these five things.” The hierarchy follows—manager, then individual contributors. The middle person can step up, create a process, develop a proof‑of‑concept example based on the VP’s input, delegate with quality assurance, and cut down iterations. That saves time, saves budget, gets results faster, and reduces frustration because expectations are clear. Christopher S. Penn: The axiom we talk about when discussing AI optimization is bigger, better, faster, cheaper. Faster obviously saves time and money. We don’t often talk about bigger and better—doing things that add value that wasn’t there before. The value you create should be higher quality. To wrap up AI proficiency, we have three divisions, six levels, and a focus: if you’re worried about someone else being faster, be as fast and be better quality. Cutting corners for speed will catch up to you. If you have thoughts about how people are using—or misusing—AI in terms of proficiency, pop by our free Slack group at trustinsights.ai/analysts‑for‑marketers, where over 4,500 marketers ask and answer each other’s questions daily. You can also watch or listen to the show on any podcast platform or the Trust Insights AI TI Podcast. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data‑driven approach. Trust Insight specializes in helping businesses leverage data, AI, and machine learning to drive measurable marketing ROI. Services span from comprehensive data strategies and deep‑dive marketing analysis to building predictive models with tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology, MarTech selection and implementation, and high‑level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic, Claude, DALL‑E, Midjourney, Stable Diffusion, and Metalama. The firm provides fractional team members such as a CMO or data scientists to augment existing teams. Beyond client work, Trust Insights contributes to the marketing community through the Trust Insights blog, the In Ear Insights podcast, the Inbox Insights newsletter, livestream webinars, and keynote speaking. What distinguishes Trust Insights is a focus on delivering actionable insights—not just raw data. The firm leverages cutting‑edge generative AI techniques like large language models and diffusion models while explaining complex concepts clearly through compelling narratives and visualizations. This commitment to clarity and accessibility extends to educational resources that empower marketers to become more data‑driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a midsize business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever‑evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Inflation has been a problem in recent years, and there are warnings it could be again thanks to the war in the Middle East. But money correspondent Susan Edmunds has found it's not always one way traffic. She spoke to Ingrid Hipkiss.

In this episode of Crazy Wisdom, Stewart Alsop sits down with Andre Oliveira, founder of Splash N Color, a bootstrapped 3D printing e-commerce business selling consumer goods on Amazon. The two cover a lot of ground — from how Andre went from running 40 FDM printers out of South Florida to offshoring manufacturing to China, to how he's using Claude Code to automate inventory management and generate supplier RFQs across 200+ SKUs. The conversation stretches into bigger territory too: the San Francisco AI scene, the rise of AI agents and what they mean for the future of the internet, whether local on-device AI will eventually replace cloud-based tools, and why building physical products will stay hard long after software becomes easy. It's a candid, wide-ranging conversation between two self-taught builders figuring things out in real time. Follow Andre on X: @AndreBaach.Timestamps00:00 — Andre introduces Splash N Color, his Amazon-based 3D printing e-commerce business and explains the grind of running 40 FDM machines in South Florida.05:00 — The conversation shifts to Claude Code and how Andre built an inventory automation system to manage sales velocity and RFQs across 200+ SKUs.10:00 — Stewart and Andre compare notes on Opus 4.6, debate Codex vs Claude, and Andre breaks down the new Agent Teams feature in Claude Code.15:00 — Discussion turns to the San Francisco AI scene, the viral OpenClaw launch event that drew 700 people, and what's capturing the city's imagination right now.20:00 — The pair wrestle with data privacy, the illusion of it since 2000, and whether full transparency of personal data might actually serve people better.25:00 — Stewart pitches his vision of local on-device AI replacing cloud tools entirely, and they debate the 10–15 year timeline for mainstream societal adoption.30:00 — Andre traces his origin story: a high school dropout from Brazil who spotted a 3D printing opportunity on Facebook Marketplace and got lucky timing with COVID.35:00 — They explore whether AI-generated 3D models and DfAM will automate physical manufacturing, and why proprietary specs keep the space stubbornly hard.Key InsightsLifestyle businesses deserve more respect. Andre spent months feeling inadequate scrolling through Twitter watching founders announce funding rounds, before realizing his cash-flowing, location-independent business was already the goal. The social media version of entrepreneurial success warped his perception of what he actually had built.Claude Code is becoming an operating system. Stewart describes running Claude Code as having a second OS on top of MacOS — one that makes the underlying machine legible in ways it never was before. Both guests use it not just for coding but as a primary interface for understanding and operating their businesses.Agent Teams changes how work gets done. Andre explains that Claude's new multi-agent feature lets you assign a team lead and specialized roles that communicate with each other in parallel, essentially running an autonomous task force inside your terminal — a meaningful leap beyond single-instance prompting.Physical manufacturing will stay hard. Even as AI-generated 3D models improve, tolerances of 0.5 millimeters can mean the difference between a product working or not. Design for manufacturing is a separate discipline from design itself, and proprietary specs mean open source models rarely hit commercial quality.The internet is heading toward agents. Both guests agree that AI agents will increasingly handle tasks humans currently do manually online — booking services, making payments, coordinating logistics — with the human internet potentially becoming secondary to a machine-to-machine layer.Iteration is the real value of 3D printing. Andre pushes back on 3D printing as a business unto itself, framing it instead as a prototyping tool. The true value is rapid iteration on housing, tolerances, and fit — not the printer, but the speed of the feedback loop it enables.Technology compounds in layers. Andre closes with a tech-tree analogy: each generation normalizes the tools of the previous one and builds the next layer on top. Agentic coding today is what the internet was in the 90s — the foundation for something we can't yet fully see.

Kyle is back on Trip Tales! You may remember him from a previous episode where he shared about his family's all-inclusive ski trip to Club Med Charlevoix outside Quebec City. This time, Kyle, his wife, and their two boys (ages 9 and 14) from Charlottesville, Virginia traveled in December 2025 to Germany and Austria.Their adventure included exploring Munich, visiting charming small Bavarian towns, wandering Christmas markets, and skiing in the Austrian Alps. Kyle shares why skiing in Europe can actually be easier and more affordable than a typical U.S. ski trip, plus tons of practical tips for families who want to make a trip like this happen.This episode is available to watch on YouTube: https://www.youtube.com/@kelseygravesIf you'd like to share about your trip on the podcast, email me at: kelsey@triptalespodcast.comBuy Me A Coffee: https://buymeacoffee.com/kelseygravesFollow me on Instagram: https://www.instagram.com/kelsey_gravesFollow me on TikTok: https://www.tiktok.com/@mskelseygravesJoin us in the Trip Tales Podcast Community Facebook Group: https://www.facebook.com/groups/1323687329158879Mentioned in this episode:- Flying Dulles to Munich- Erding Therme indoor pool and spa in Erding, Germany- Bad Tolz: Christmas Market, glühwein, kinderpunsch, Lake Tegernsee Christmas Markets- Neuschwanstein Castle, Hohenschwangau Castle, Schlossbrauhaus in Schwangau- Garmish-Partenkirchen: Dorint Sporthotel, Christmas Market, Zugspitze- Innsbruck, Austria- Niederau, Austria: Hotel Staffler, Skiing in Hopfgarten, Westendorf, Kitzbuhel- Munich: Dachau, Novotel Munchen City, Hofbräuhaus MünchenTrip Tales is a travel podcast sharing real vacation stories and trip itineraries for family travel, couples getaways, cruises, and all-inclusive resorts. Popular episodes feature destinations like Marco Island Florida, Costa Rica with kids, Disney Cruise Line, Disney Aulani in Hawaii, Beaches Turks & Caicos, Park City ski trips, Aruba, Italy, Ireland, Portugal's Azores, New York City, Alaska cruises, and U.S. National Parks. Listeners get real travel tips, itinerary recommendations, hotel reviews, restaurant recommendations, and inspiration for planning their next vacation, especially when traveling with kids.

Alan Rozenshtein, research director at Lawfare, spoke with Cullen O'Keefe, research director at the Institute for Law & AI, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas at Austin School of Law and senior editor at Lawfare, about their paper, "Automated Compliance and the Regulation of AI" (and associated Lawfare article), which argues that AI systems can automate many regulatory compliance tasks, loosening the trade-off between safety and innovation in AI policy.The conversation covered the disproportionate burden of compliance costs on startups versus large firms; the limitations of compute thresholds as a proxy for targeting AI regulation; how AI can automate tasks like transparency reporting, model evaluations, and incident disclosure; the Goodhart's Law objection to automated compliance; the paper's proposal for "automatability triggers" that condition regulation on the availability of cheap compliance tools; analogies to sunrise clauses in other areas of law; incentive problems in developing compliance-automating AI; the speculative future of automated compliance meeting automated governance; and how co-authoring the paper shifted each author's views on the AI regulation debate.Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

Apple has announced a new, lower-cost entry-level phone and laptop. WSJ personal tech columnist Nicole Nguyen shares an inside look at the latest colorful devices — and what they mean for Apple's strategy going forward. Plus, companies offering prediction markets, where users can bet on anything from celebrity appearances to military strikes, are marketing to college students. Wall Street Journal investigative reporter Katherine Long explains the companies' strategies to sign students up. Peter Champelli hosts.  Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Austin chats with Pranav Raval (Aptos Labs) about Shelby, a new decentralized storage protocol designed to address the performance and cost limitations of earlier decentralized storage systems. The conversation dives into Shelby's architecture and market opportunities. Unlike previous systems that rely on unreliable “spare capacity” nodes, Shelby uses professionally operated data centers, erasure coding for reliability, and incentives for fast data retrieval. This design enables new use cases beyond simple file storage, including verifiable advertising analytics, IP-protected generative media, AI data marketplaces, and distributed AI inference at the network edge. Pranav explains how Shelby can position itself as infrastructure for data-intensive applications—especially those driven by AI—while offering an alternative to the expensive egress fees and regional data silos of traditional cloud providers. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Will the Texans be developing a somewhat "CHEAPER" ideology/strategy when it comes to O-Line room in H-Town for the 2026 football season..? PLEASE, GOD-NO!!

Some services, like barbering and childcare, cost way more than they did in the past and keep going up in price. On the other hand, a lot of manufactured goods, like TV's, have become less expensive. And the "Baumol effect" could explain why. Plus, we look at the rise of extra spicy foods on restaurant menus and what's at stake as cargo ships sit idle near the Strait of Hormuz.

Electrification is accelerating across the country — from heat pumps and high-efficiency HVAC to EV fleets and solar microgrids. But one critical question remains: Is our infrastructure ready?In this forward-thinking episode, we sit down with Jordan Lerner, Vice President of the West Region at Schneider Electric, to unpack the realities behind electrification, grid capacity and what true energy resiliency looks like in practice.We discuss:• Why “the negawatt is cheaper than the megawatt” — and what that means for HVAC professionals• How electrifying buildings and fleets impacts switchgear, service entrances and utility coordination• Creative funding strategies, including on-bill financing and public-sector grants• The growing role of solar, battery storage and microgrids in building resiliency• Why automation, recommissioning and simply “turning things off” can unlock massive grid capacity• How education and long-term maintenance planning are essential to successful energy transitionsFrom California's aggressive heat pump goals to Colorado's evolving energy mix, this conversation bridges the gap between HVAC innovation and electrical infrastructure realities. It's not just about sustainability — it's about resiliency, feasibility and smart energy management.For more information on Schneider Electric, visit https://www.se.com/.-------------------------------------------------------------------------------------------------------

Will you need to work until 72… or can you make retirement cheaper than you think?In this episode, Ed and Andrew unpack the retirement debate – from calls to raise the NZ Super age to surprising data showing many retirees might not need as much as they believe.You'll learn:The 4 ways to make your retirement significantly cheaper (or more expensive)The data showing retirement spending often falls over timeHow property investors use these levers to retire years earlierOnce you understand these four levers, you might realise you don't need as much as you thought – or you could retire sooner than planned.Don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠create your free Opes+ account and Wealth Plan here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.For more from Opes Partners:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the weekly Private Property newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠

I'm making a big shift in my business this year, and it might surprise you. Instead of chasing the biggest profits possible on every deal, I'm focusing on selling cheaper deals that move faster. Over time, I've learned that velocity of capital beats holding out for top dollar, especially in a changing market.Sellers are becoming more motivated, competition is lighter, and buyers are still active if you pay attention to where they're actually purchasing. My strategy is to target those active areas, price deals to sell quickly, and keep consistent marketing going so the pipeline stays full. This creates predictable income and removes the stress of waiting months for a deal to close.I also share how direct mail plays a huge role in this plan and why being conservative with your pricing can actually make you more profitable long term. If you want a steadier, more resilient land business, this approach can change everything.What's Inside: —Why faster deals create more consistent income—How motivated sellers are increasing opportunities—Why conservative pricing helps you stay competitive

All the Audible Originals and Wondery shows you can listen to. Sponsored by Riverside. Ready to grow your podcast beyond audio? One leading show expanded from audio to video with Riverside and saw 15% RSS growth. Scale without rebuilding your workflow. Start for free. https://podnews.net/cc/3334 Visit https://podnews.net/update/audible-standard-plan-2 for the story links in full, and to get our daily newsletter.

The new Audible Standard plan is $6 cheaper than the platform's existing "Premium" plan, which costs $14.95 per month. The new X chat app promises a way to send and receive messages without being distracted by your timeline. Learn more about your ad choices. Visit podcastchoices.com/adchoices

This is a clip from The Wanger Show #285 — “She-Hulk & House of the Dragon Both Premiere + The Last of Us Looks Cool” — originally streamed live on August 22, 2022. (Link: https://www.youtube.com/live/Xj5jhe5F-zs?si=oHBCa32RPc2s2Qca)In this moment from the larger episode, Phil shares a surprisingly simple hack for saving money on Adobe: just ask. Instead of accepting the full renewal price, he reaches out every year — and Adobe consistently offers to keep him at the discounted trial rate (sometimes even throwing in free months).We also talk about:• Why subscription services fight so hard to keep you• The psychology behind retention discounts• Why companies offer cheaper prices only when you try to cancel• A confidence-building exercise: ask for 10% off — anywhereIf you're a creative paying monthly for tools like Adobe Creative Cloud, this tip alone could save you hundreds.Watch the full episode of The Wanger Show #285 for more on She-Hulk, House of the Dragon, The Last of Us, and filmmaking talk with Phil. (Link: https://www.youtube.com/live/Xj5jhe5F-zs?si=oHBCa32RPc2s2Qca)

The Pentagon has reached a deal with OpenAI after a deal with Anthropic fell apart. Also, Apple releases a new midrange iPhone. Tech reporter Mike Dobuski tells us more.

If contractors get 50% more efficient with AI, who captures the margin improvement?In this episode of KP Unpacked, KP Reddy and Nick tackle a question that went viral in construction circles: with all these AI companies raising capital to serve contractors, will owners and developers actually see lower costs? Or will GCs pocket the efficiency gains and maintain pricing power? The conversation spirals into economic theory, prisoner's dilemma dynamics, and why the WebMD playbook might predict construction's AI future.But the deeper thread is about what happens when an entire conservative industry, one built on stability, 401Ks, and predictable careers, gets blindsided by deflationary technology moving too fast to adapt. KP shares observations from an M&A conference where 200 AEC executives think AI is "ChatGPT helping me pack for trips," while tracking former firm owners coming off PE non-competes who could launch AI-native competitors overnight. Nick introduces a viral economic report painting a bleak 2028 scenario where AI delivers on all its promises but unemployment hits 10.2% and the S&P drops 40%.Key topics covered:Why construction AI companies target contractors, not owners, and who captures the ROI when margins improveThe prisoner's dilemma: will a mid-market GC defect and pass savings to clients to win volume?How one multifamily GC is guaranteeing outcomes by controlling supply chains and offering territory exclusivityThe WebMD precedent: doctors used it first, then consumers took control, will owners do the same with AI?Why 200 M&A conference executives had no idea what's happening in AI beyond trip-planning with ChatGPTThe 2028 economic doomsday scenario: AI succeeds, unemployment hits 10.2%, S&P drops 40%, software companies collapseWhy the rate of AI advancement is too fast for human adaptation, six Claude updates since January 12thHow KP is tracking former AEC firm owners coming off PE non-competes using Claude Cowork 24/7Why IT departments are the biggest barrier to AI adoption in conservative firmsThe "Friday AI Day" thesis: carve out four hours every Friday to tinker instead of leaving earlyWhy KP's 70-year-old brother-in-law (retired physician) wants to learn coding to pre-screen insurance denialsThe opposite of Y Combinator: an incubator in Costa Rica for retired people who want to build AI startupsThought experiment: 60-year-old contractor with hand tools vs. 35-year-old with power tools at identical pricingWhy experience + AI tools is the winning combination and what it means for next-generation knowledge workersThe impossible prediction: what jobs will exist for kids born in 2020?If you're a contractor wondering whether to pass AI savings to clients, an owner trying to figure out when pricing pressure arrives, or a knowledge worker in a conservative industry watching the future unfold too fast, this episode will challenge every assumption about who wins when technology moves faster than adaptation cycles allow.Listen now.BuildingWorks & Brookwood Sponsors

Conor & Jaeden discuss the major advancements in Anthropic's new SONNET 4.6 model, highlighting its impressive performance compared to previous versions and its implications for both developers and everyday users. They also explore the significant improvements in AI's computer use capabilities and the growing importance of prompt injection attack resistance in enterprise deployments.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustleWatch on YouTube: https://youtu.be/5xFfI1BMbvYChapters00:00 Anthropic's Sonnet 4.6: A Game Changer05:05 The Evolution of Computer Use in AI10:25 Security Improvements and Future Implications See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to a special crossover edition of Hustle and Flowchart! In this episode, we're bringing you another conversation from The Next Wave podcast. Matt Wolfe is in the host's seat and our very own Joe Fier joins as a featured guest.This episode dives deep into the rapidly-evolving world of AI, highlighting the explosion of smarter (and cheaper) new models that are shaking up the industry. Matt and Joe break down the latest stories—from OpenClaw's headline-making move to OpenAI, to why Anthropic may have dropped the ball, and how Meta and other big tech players are responding. They discuss the wave of AI tools changing how businesses run, how agents are finally becoming useful (and affordable), and what this means for everyday users, developers, and entrepreneurs.Topics DiscussedOpenClaw's Impact & OpenAI's AcquisitionAI Agents Are Getting Useful (Not Just Gimmicks!)Cost vs Productivity: Are AI Tokens Cheaper Than Human Employees?Model Race: New Releases from Anthropic, Google, Meta, and xAIBusiness Applications: E-Commerce & Marketing DisruptionAI Creativity Debate: Can Machines Be Creative?Societal Impact & The Future of AIResources MentionedSeedance 2.0: https://www.seedance.com/OpenClaw: https://openclaw.ai/Manus: https://manus.im/Nano Banana: https://nanobanana.com/ElevenLabs: https://elevenlabs.io/Perplexity: https://www.perplexity.ai/If you found value in today's episode, make sure to subscribe to Hustle & Flowchart on your favorite podcast platform. Your subscription ensures you never miss an episode and helps us bring you more in-depth conversations on everything shaping the hustle and creator landscape. Don't forget to leave us a review and share the episode with someone curious about the future of AI!

Mike Johnson, Beau Morgan, and Ali Mac react to Atlanta Falcons General Manager Ian Cunningham being non-committal on free-agent linebacker Kaden Ellissin his scrum with the local media at the NFL Combine yesterday when asked if Elliss is a guy Atlanta wants back, and explain why they would hate to lose Elliss and want him back, but think the Falcons can find a cheaper option and better system fit at linebacker than Kaden Elliss.

Get our AI news cheat sheet: 20+ prompts for the latest models and tools https://clickhubspot.com/kps Episode 98: Is 2026 shaping up to be the year AI agents become indispensable—and outpace GPT-5? Hosts Matt Wolfe (https://x.com/mreflow)) and Joe Fier (linkedin.com/in/joefier) break down the explosion of new AI models, including Claude Sonnet 4.6, Gemini 3.1 Pro, and Grok 4.2, and explore how these tools are not only smarter but also significantly cheaper than previous state-of-the-art language models. This episode dives deep into the rise of agentic AI, the OpenClaw origin story, and how companies like Meta and ElevenLabs are racing to create integrated, emotionally-aware AI agents. Matt and Joe discuss the rapid democratization of AI, the impact of these advances on creativity and business operations, and the ongoing debate about slowing down AI before it accelerates beyond human control. Plus: practical demos, business tips, and a look at the hardware/software divide in global robotics. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Next Wave Podcast: AI Insights (06:09) Anthropic Blocks, OpenAI Welcomes (10:35) ClaudeBot: AI Team Assistant (20:50) Meta Integrates Manus AI Ads (22:04) AI vs Manual Ad Management (29:55) New AI Models Released (31:54) AI Models Improve, Consumers Unchanged (41:09) Chatbots: Everyday and Advanced Uses (43:57) Mixture of Experts Explained (47:23) AI-Powered Product Photo Creator (56:58) Debating Internet Advancement (01:00:36) To Scale: Human Evolution (01:03:42) AI Debate: Polarized or Balanced? (01:13:16) AI Creativity Still Needs Humans (01:16:40) AI's Future in Entertainment (01:24:15) Experience Enhances AI Creativity (01:27:08) Robots Struggle with Nuance (01:30:27) US-China Collaboration for Smart Robots — Mentions: Joe Fier: https://www.instagram.com/joefier/ Seedance 2.0: https://www.seedance.com/ OpenClaw: https://openclaw.ai/ Manus: https://manus.im/ Nano Banana: https://nanobanana.com/ ElevenLabs: https://elevenlabs.io/ Perplexity: https://www.perplexity.ai/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Alan Rozenshtein, research director at Lawfare, spoke with Cullen O'Keefe, research director at the Institute for Law & AI, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas at Austin School of Law and senior editor at Lawfare, about their paper, "Automated Compliance and the Regulation of AI" (and associated Lawfare article), which argues that AI systems can automate many regulatory compliance tasks, loosening the trade-off between safety and innovation in AI policy.The conversation covered the disproportionate burden of compliance costs on startups versus large firms; the limitations of compute thresholds as a proxy for targeting AI regulation; how AI can automate tasks like transparency reporting, model evaluations, and incident disclosure; the Goodhart's Law objection to automated compliance; the paper's proposal for "automatability triggers" that condition regulation on the availability of cheap compliance tools; analogies to sunrise clauses in other areas of law; incentive problems in developing compliance-automating AI; the speculative future of automated compliance meeting automated governance; and how co-authoring the paper shifted each author's views on the AI regulation debate. Hosted on Acast. See acast.com/privacy for more information.

Brendan Appel of the Sons of Speed sits in for Jill this week. Brendan and Tom open the show talking about the changing character of car engines, and how small turbocharged examples lack the character—especially exhaust note—of older, larger engines. Tom shares news regarding deep price cuts on the Tesla Cybertruck. Per Elon Musk, the new, cheaper Tesla pickup may not be available for long, so interested shoppers may want to act quickly. Brendan and Tom discuss what the price adjustment might mean for the resale value of existing examples of the controversially designed pickup truck. Still in the first segment, Tom reviews the 3-row Lexus TX luxury crossover. Listen in for his take. In the second segment Brendan and Tom welcome Zack Pradel of Shooting Cars to the show. Zack is just back from Japan where he drove a number of the country's “kei” micro cars. As it has been suggested that kei cars could be the answer to rising new-car sticker prices in the U.S., Zack's take on these tiny vehicles is especially interesting. In the last segment Zack joins Brendan for this week's quiz. The show wraps up with a quick look at the current Polestar model lineup. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Kyle Robert and Brian Twining get you set for the Autotrader 400 at EchoPark Speedway in Atlanta . The guys run through every driver on DraftKings to break down their favorite targets and fades for this weeks NASCAR DFS slate! Then they build FIVE GPP lineups for the race. But first, the guys talk through the updated Autotrader 400 outright betting board. Why is Carson Hocevar priced so short? Is Ryuan Blaney, Joey Logano or Chase Elliott worth a look? Who else is in play this week and how should YOU build your betting card?For more of our favorite bets and the full card make sure you are subscribed to the completely FREE Newsletter! It can be found at aoppodcast.substack.comAs a reminder, check out our friends over at @WINTHERACEP1  for an amazing selection of tools, games and discord. Their 100K simulations are among the best in market.00:00 Intro03:57 Autotrader 400 Updated Betting Odds31:16 Autotrader 400 High priced options33:08 Autotrader 400 Mid pack options34:46 Autotrader 400 Cheaper options39:42 Autotrader 400 GPP lineups

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The State is coming for your life, your wallet, and your reputation. Today on Wake Up America, Austin Petersen breaks down the horrifying reality of Canada's "Medical Assistance in Dying" (MAID) program. We're going deep on the case of Kiano Vafaeian, a 26-year-old blind man with type 1 diabetes whose "seasonal depression" was treated with a lethal injection rather than a winter coat and a light box.

Send a textIn this episode...--> Video games need to be cheaper to buy. At least, that's the opinion coming from attendees at the DICE convention in Las Vegas this week, where thousands of video-game makers have been asking each other the same question: What can we learn from Clair Obscur: Expedition 33?--> Video game stocks have been getting repeatedly KO'd in recent weeks following the launch of Google's new generative-AI tool, Project Genie, but experts are saying the program in reality is not the industry killer investors seem to think it is.--> Exactly nine months away from the release of Grand Theft Auto 6, Norwegian electronics retailer Komplett has promised it will give away free copies of the game to anyone giving birth on the game's launch day of November 19, 2026.--> Also: Top 3 New Releases, The Tale of Gamers Week (200th episode celebration!!)We love our sponsors! Please help us support those who support us!- Check out the Retro Game Club Podcast at linktr.ee/retrogameclub- Connect with CafeBTW at linktr.ee/cafebtw- Get creative with Pixel Pond production company at pixelpondllc.com- Visit Absolutely the Best Podcast: A Work in Progress at linktr.ee/absolutelythebest**Use this link to get a $20 credit when you upgrade to a paid podcast hosting plan on Buzzsprout! buzzsprout.com/?referrer_id=1884378Hosts: donniegretro, retrogamebrews, wrytersviewOpening theme: "Gamers Week Theme" by Akseli TakanenPatron theme: "Chiptune Boss" by donniegretroClosing theme: "Gamers Week Full-Length Theme" by Akseli TakanenSupport the show

Enhanced premium tax credits for the ACA Marketplace expired last year, leaving people to pay a larger share of — or full price for — their health coverage. This year, nearly 50,000 fewer Oklahomans selected a plan, and even more are expected to drop out amid higher costs. Consumers are now navigating the consequences of this expiration with limited choices.Mentioned in this episode:Social Media tags

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Artificial intelligence is being framed as innovation. But sometimes it sounds a lot like cost cutting. In this episode of Touch Point, hosts Chris Boyer and Reed Smith tackle a provocative question sparked by recent headlines describing workforce reductions as “AI productivity savings.” If thousands of jobs are eliminated under the banner of efficiency, is that transformation — or just margin management with better branding? Healthcare is under pressure to do more with less. AI is now embedded in marketing, access, scheduling, operations, and content workflows. But how are we actually measuring success? Is it: Revenue growth? Cost efficiency? Improved patient experience? Or simply labor reduction? Chris and Reed introduce a balanced AI value framework built around four dimensions: growth impact, cost efficiency, experience enhancement, and trust durability. Because in healthcare, productivity alone is not strategy — and cost savings without context can distort behavior. Then, they welcome guest experts Danny Fell and Dean Browell for a deeper executive-level discussion on how to position AI initiatives to the C-suite. How do you communicate long-term brand and trust value in a boardroom that applauds immediate cost reductions? And how do you avoid what they call “productivity theater” in the AI era? This episode challenges healthcare leaders to rethink ROI before AI reshapes the definition of value itself. Mentions From the Show:  Dean Browell on LinkedIn Danny Fell on LinkedIn Reed Smith on LinkedIn Chris Boyer on LinkedIn Chris Boyer website Chris Boyer on BlueSky Reed Smith on BlueSky Learn more about your ad choices. Visit megaphone.fm/adchoices

Mike Johnson, Beau Morgan, and Ali Mac close out hour three by talking about old cell phones and then answering people's questions about anything in the Morning Mailbag!

A Waymo costs $8. An Uber for the same ride? $17. The robotaxi price war is here, and it's changing everything. I break down who's winning, who's faking it (looking at you, Tesla), and why owning a car might soon feel like a gym membership you never use. Plus, your browser leaves fingerprints on every site you visit and a Pokémon card just sold for $13 million. Time to check that shoebox. Learn more about your ad choices. Visit megaphone.fm/adchoices

From Wall Street to Main Street, the latest on the markets and what it means for your money. Updated regularly on weekdays, featuring CNBC expert analysis and sound from top business newsmakers. Anchored and reported by CNBC's Jessica Ettinger. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

About time!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

No donuts today as Jill isn't feeling well (listen to her voice) and Tom says he's on a diet. The hosts open the show by discussing big Toyota news: The Highlander is going EV only for 2027. Listen in for Jill and Tom's take on this announcement. Also discussed is Jeep's new lower-cost V8 Wrangler model. Next, Tom shares a brief take on the very-affordable Chevrolet Trax in topline Activ trim. Should entry-level shoppers take a look at Chevy's least-expensive model? Listen in. Still in the first segment, the hosts co-review the sporty Alfa Romeo Stelvio Intensa small crossover. Jill and Tom agree that there is a lot here to like here, though the very-engaging Italian model is not without its compromises. In the second segment, Jill and Tom are joined by Evan Frank, Seat Engineering Manager for Nissan. Evan explains why denim especially is so tough on car and truck seats, and how Infiniti has been using a jeans-clad robot to test vehicle seats for long-term wear resistance. It's a great conversation. In the final segment, Jill is subjected to Tom's "Even More Spelling" quiz, plus, the duo discusses Cadillac's surprising commitment to electric vehicles, and a North American Car of the Year/Society of Automotive Engineers-sponsored scholarship program. Listen in for details. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Kyle Robert and Brian Twining get you set for the first race of the 2026 NASCAR season as Dayonta hosts the Daytona 500. The guys run through every driver on DraftKings to break down their favorite targets and fades for this weeks NASCAR DFS slate! Then they build FIVE GPP lineups for the race. But first, the guys talk through the updated Daytona 500 outright betting board. Who is in play this week and how should YOU build your betting card?For more of our favorite bets and the full card make sure you are subscribed to the completely FREE Newsletter! It can be found at aoppodcast.substack.comAs a reminder, check out our friends over at @WINTHERACEP1  for an amazing selection of tools, games and discord. Their 100K simulations are among the best in market00:00 Intro03:59 Daytona 500 Updated Betting Odds26:30 Daytona 500 High priced options30:22 Daytona 500 Mid pack options32:04 Daytona 500 Cheaper options32:18 Daytona 500 GPP lineups

Natalie Compton is the  Washington Post Travel Reporter  Natalie talks:Spring breakTraveling abroadWorking with a travel agent ... and so much more.    To subscribe to The Pete McMurray Show Podcast just click here

Who would've thought? Last month, PepsiCo cut snack prices. McDonald's has been cutting prices, too, and said it's paying off. Yesterday, the company released better-than-expected results for the tail end of 2025. Also, big revisions to datasets like yesterday's jobs report are becoming more common in an economy undergoing big shifts, and Germany is looking to recruit foreign-born skilled workers as harsher immigration policy and rhetoric make the U.S. less appealing.

Who would've thought? Last month, PepsiCo cut snack prices. McDonald's has been cutting prices, too, and said it's paying off. Yesterday, the company released better-than-expected results for the tail end of 2025. Also, big revisions to datasets like yesterday's jobs report are becoming more common in an economy undergoing big shifts, and Germany is looking to recruit foreign-born skilled workers as harsher immigration policy and rhetoric make the U.S. less appealing.

They Said It is a quick back and forth on what was said in the sports world. Today we hear from NFL players encouraging Will Campbell, Payton Tolle on his new pitch and Mike Vrabel on what he wants for the roster.

Amid a ballooning rental housing market across the Bay Area, Oakland rents are mostly staying flat. Today, the median San Francisco rent for a one-bedroom home is about 70% higher than in Oakland. While Oakland often trails the city's rental market, the gap is now far larger than in recent history. We'll discuss whether Oakland has cracked the code on making housing more affordable, or whether other factors may be driving people away. Guests: J.K. Dineen, Bay Area housing reporter, San Francisco Chronicle Chris Salviati, senior housing economist, Apartment List Tim Thomas, director, Eviction Research Network at UC Berkeley Learn more about your ad choices. Visit megaphone.fm/adchoices

President Trump is delivering huge wins for everyday Americans. In this episode, we break down the massive launch of TrumpRx — officially slashing prescription drug prices and putting Big Pharma on notice. No more getting ripped off — families are saving big on lifesaving medications. Plus, Trump's powerful Trump Accounts get the Super Bowl spotlight with an epic ad promoting wealth-building for American families and kids. Promises made, promises kept — stronger wallets and a stronger America. Avi Loeb joins the show to dive into black holes and the latest on 3I/ATLAS — mind-blowing science from a true American innovator.We also cover: Pat issuing corrections on the disgraceful "F the Mormons" chant at BYU — enough with the hate. Trump calls for a national day of prayer and fasting — faith and freedom first. AOC rushing to defend Don Lemon — birds of a feather. Kamala Harris drops her “big announcement” — relaunching her old HQ as a youth organizing hub (more failed Democrat energy). Trailer drop for the new Michael Jackson documentary. Google co-founder's girlfriend pushing "obtainable" luxury like yacht yoga and caviar breakfasts — tone-deaf elite nonsense. Karoline Leavitt drops truth bombs: Four innocent Americans tragically killed by an illegal alien semi-truck driver — and zero illegal aliens released into the U.S. in the last nine months under Trump. Border security works. 00:00 Pat Gray UNLEASHED! 00:17 "F the Mormons" Update 01:43 Winter Olympic Games 04:00 JD Vance & Marco Rubio Attend the Winter Olympics 08:07 Trump Announces TrumpRx.gov 11:38 New Guidelines Protecting Prayer in Schools 12:25 Trump Calls for Unity & Prayer 15:12 America NEEDS Religion! 17:33 Trump Jokes about Sleeping in Planes 21:34 More Roadblocks in Minneapolis 23:05 Antifa Man Arrested in Minneapolis 24:40 AOC Praises Don Lemon for Storming the Church 28:23 Kamala Harris' New Announcement 31:17 CNN Mocks Kamala's Announcement 32:08 HQ 6-7 Becomes HQ 6-8 33:44 Fat Five 50:57 Breakdown of Trump Accounts 1:12:09 Professor Avi Loeb Talks Black Holes 1:27:03 Nancy Guthrie Update 1:32:56 Nancy Guthrie's Son Speaks to Kidnappers Learn more about your ad choices. Visit megaphone.fm/adchoices

What’s Trending: The state of Washington is looking for a way to charge data centers for the entire cost of powering AI via the power grids. We go live to President Trump’s address that centers around the cost of pharmaceutical drugs. President Trump announced the new TrumpRx.gov as a place to get drugs for an affordable cost. // Big Local: There is a duo in Issaquah that are behind the giant 12’s banner that can be seen on I-90 and we learn more as to how and why they started doing it. A Pierce County business is coming under fire after a majority of their products were stolen Lululemon items. King County’s Marine Rescue Unit saved a man’s life that had fallen through ice at fish lake. // The Washington Post published an op-ed that called out Washington State Democrats over the push for the new income tax. 

Eric Berger details NASA's choice between expensive legacy contracts and cheaper commercial alternatives like Blue Origin for a necessary Mars communication satellite, weighing cost efficiency against institutional inertia.1917

DHS personnel are leaving Minneapolis, though Border Czar Tom Homan has outlined conditions. Investigators are reviewing new evidence in the search for Nancy Guthrie. Lawmakers have sidestepped a government shutdown but another deadline looms. US, Ukrainian and Russian peace deal negotiators are meeting in Abu Dhabi. Plus, ahead of the Super Bowl, some of your favorite snacks are getting cheaper. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Guest: Veronique de Rugy. De Rugy of the Mercatus Center examines the failure of Georgia's film tax credits, noting that productions eventually moved to cheaper locations despite billions in subsidies. She compares this to federal industrial policies like tariffs and Intel subsidies, arguing that government attempts to "pick winners" rarely produce sustainable economic results.1951 JACK DEMPSEY AND MAMIE VAN DOREN