Podcasts about engines

Episode: 2753 Henry Laurence Gantt.  Today, we chart new territory.

Episode: 2641 Niagara Falls and the development of hydroelectric power.  Today, ghosts of Niagara.

SpaceTime Series 29 Episode 102 *SpaceX's Starship arrives at Christmas Island After some 24 days at sea, a SpaceX recovery team has successfully towed its test flight 13 Starship into the remote Australian Indian Ocean territory of Christmas Island.  The unplanned operation was hastily put together after the spacecraft unexpectedly held together following its splashdown off the Western Australian coast. *How old really is the universe? Astronomers have come up with a new way to work out the age of the universe finding it to be 13.6 billion years old – some 200 million years younger than previously thought. *Einstein's general relativity theory still stands More than 100 years after Albert Einstein published his iconic general theory of relativity, it remains science's best understanding of gravity and the universe on the cosmic scale. *The Science Report A new study shows that carrying a little extra weight could be beneficial as you get older. People lacking human connections more likely to turn to AI chatbots for companionship. The Southern Ocean and parts of the Pacific may be the best places to fertilise to remove CO2. How dogs have learnt to understand human facial expressions. Alex on Tech: The Galaxy passport sized Z Fold 8 tops the sales figures.

The Adult Improver Series returns to welcome back an accomplished guest. Kyle Boddy is the founder of Driveline Baseball, an influential company that provides training and performance guidance for professional and aspiring baseball players. Despite the demands of running a company and raising a family, Kyle values chess as a hobby and makes plenty of time for it. When I first interviewed Kyle in 2022, he was rated below 1000 USCF, but was working diligently and had a long-term hope of reaching USCF 2000. Four years later, he has stuck with it and made considerable progress, recently reaching a new peak of nearly 1550 USCF. In this follow-up, we discuss: Why he still loves openings, and how studying them deeply has given him a competitive advantage against many higher-rated opponents. How he combines old-school, analog training methods with sophisticated uses of AI and chess technology. The parallels he sees between improving at physical pursuits like baseball and improving at chess. The immense value he gains from being part of a vibrant chess community in the Pacific Northwest. It is inspiring to see Kyle's continued dedication to chess, and I look forward to following his continued progress in the coming years. 0:00- Intro Join the Perpetual Chess Patreon community: https://www.patreon.com/c/perpetualchess Join the free discord:  https://discord.gg/hN3CJsbGn More on the Adult Improver Series: Spotify Playlist: https://open.spotify.com/playlist/75Uoqz2BoRt2IiTCeOfuky?si=8fda103624514126 Website: https://www.perpetualchesspod.com/adultimprover Check out our sponsor,  Claude Co-work at Claude.ai/chess 04:22 Kyle Boddy joins 06:05 What keeps Kyle playing and improving? 07:36 Switching to 1.e4 and open games Mentioned: Anand-Nunn 1990 https://www.chessgames.com/perl/chessgame?gid=1018185 08:43 Why Kyle still loves studying openings 10:45 How Kyle actually studies openings 12:12 Studying games blindfolded 16:00 How Kyle uses AI for chess 18:19 Engines, Maia Chess and practical preparation 20:34 Kyle's tournament routine 24:19 How he trains tactics 26:48 Building a new opening repertoire 29:42 Daily chess habits 30:49 The importance of a chess community 34:17 Tournament chess in Seattle and beyond 35:20 Aging and adult chess improvement 37:45 Kyle's path toward 1800-2000 40:11 Improving at endgames 42:50 Understanding vs. memorizing openings 44:35 The Joey Votto chess bet 45:33 Chess's popularity among pro athletes 47:05 How much Kyle studies chess Can Adults Improve at Chess by NM Todd Bryant https://www.chess.com/article/view/can-adults-improve-at-chess 50:22 Blogging, AI and hiding your prep 52:53 Baseball vs. chess improvement 55:46 Will Kyle still be playing at 50?  56:00- Thanks to Kyle for joining and sharing his inspiring progress- follow his blog here: https://www.kyleboddy.com/blog/ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Episode: 2977 Thomas Jefferson, the Maison Carrée, and the Virginia State Capitol.  Today, Thomas Jefferson in love.

Episode: 3403 An old book about telephones reminds of a time before our technologies were not “black boxed.”  Today, we look under the hood.

Episode: 1620 The Indian canoe -- another perfected technology.  Today, birch-bark canoes.

Episode: 1619 Theatre of Machines -- forerunners of engineering handbooks.  Today, the first handbooks.

Episode: 1618 Today we wonder whether something other than one solution exists.  Today, the forgotten lecture in your math course.

Episode: 2631 The Double Slit Experiment.  Today, a mysterious experiment.

Episode: 3402  Absolute Zero: The hunt for the lowest possible temperature.  Today, absolute zero.

Collin survives Florida. Brandon survives Mobile Suit Gundam. We think about things.Collin survived Florida…barelyBrandon watched some animeMobile Suit Gundam Winghttps://en.wikipedia.org/wiki/Mobile_Suit_Gundam_Wing https://gundam.fandom.com/wiki/Model_Suit_Gunpla_Builders_Beginning_G Collin haiku Engines fall silentWaiting on the runwayHome feels far awayCheck out our other episodes: ohbrotherpodcast.comFollow us on InstagramCheck us out on Youtube

Episode: 3401 Samuel Smiles and James Nasmyth: Strange bedfellows.  Today, two views of a polymath.

Episode: 3400 In which we cause water to, like a Hell-broth boil and bubble within a nuclear reactor.  Today, For a charm of powerful trouble ...

Episode: 1617 Reflections on the dicey question of cause and effect in history.  Today, the connections problem.

Episode: 1616 Ivan Polzunov and early Russian steam engines.  Today, the steam engine comes to Russia.

Air-cooling a Volkswagen engine has always been as much science as it is art. For decades, enthusiasts have debated which fan shroud cools the best, what compression ratio is ideal, which cylinder heads run the coolest, and how today's fuels affect engine temperatures. This week on Let's Talk Dubs, we're joined by one of the most respected names in air-cooled Volkswagen engine development—Jake Raby. Jake shares the incredible story behind the extensive cooling research that changed the way many enthusiasts think about building reliable, high-performance air-cooled engines. Beginning in 2006, Jake embarked on an ambitious cross-country journey in his famous blue "BluebonicPlague" Beetle, outfitted with more than 20 sensors strategically placed throughout the engine. Every mile of the trip generated an enormous amount of real-world data, with over two gigabytes of information recorded to analyze everything from cylinder head temperatures and oil temperatures to airflow characteristics and cooling efficiency under actual driving conditions. Rather than relying on opinions or bench racing, Jake set out to answer the questions that Volkswagen enthusiasts have argued about for generations—with data. In this episode, we take a look into: The evolution of VW cooling system design. The strengths and weaknesses of the various fan shrouds and cooling kits available today. Why some cooling systems outperform others in real-world driving. The relationship between engine displacement, compression ratio, ignition timing, and operating temperatures. How cylinder head design dramatically affects engine longevity and cooling. The impact of modern ethanol-blended fuels on air-cooled engines. Common misconceptions about engine temperature and reliability. The testing methods Jake developed to remove guesswork from engine building. Whether you're assembling a mild street engine, building a powerful Type 4, or simply trying to keep your classic Volkswagen running cooler and more reliably, this episode is packed with decades of hard-earned knowledge backed by real-world testing and engineering. If you've ever wondered what really keeps an air-cooled Volkswagen alive—and what actually works versus what has simply become accepted folklore—this is an episode you won't want to miss. DTM Shrouds 912 Engine Teardown link Jake's Road Trip data www.vwtrendsmagazine.com www.rosswulf.com use code LTD 10 To get 10% off yur purchase ICON Pistons Here  

Episode: 1615 On learning to use coal.  Today, we learn why we shouldn't bring coals to Newcastle.

Episode: 2630 Determinism and the many worlds interpretation of quantum mechanics.  Tomorrow, and tomorrow, and tomorrow.

Episode: 3399  In which we see fog dressed in fancy clothes.  Today, we sing the merits of fancy fogs.

What does it take to build a race engine that delivers horsepower, reliability and performance at the highest levels of motorsports?Dennis Borem, President & CEO of ProMotor Engines, LLC, joins Joe Castello of WFO Radio for an in-depth technical discussion on building winning engines for road racing, drag racing and beyond.Borem shares decades of race engine development experience, covering:• Road racing engine power curves, torque and durability• Trans Am and TA2 engine development• Building 850+ horsepower NASCAR-derived engines• Compression ratios, ring packages and combustion efficiency• Finding horsepower through crankcase evacuation• Intake manifold tuning for different racetracks• Dyno testing, blueprinting and precision machining• Engine clearances, valve springs and component selection• Top Fuel engine service and 12,000-horsepower reliability• Balancing horsepower with engine life and maintenance intervalsFrom tightly controlled TA2 engines to high-horsepower Trans Am combinations and extreme NHRA Top Fuel applications, this episode provides a behind-the-scenes look at the engineering, machining and development required to produce reliable race-winning power.Featuring Dennis Borem, President & CEO, ProMotor Engines, LLC.Hosted by Joe Castello of WFO Radio.Watch more Race Industry Now technical webinars and interviews from EPARTRADE.Presented by ARP, Inc., PEAK, Fifth Third Bank Motorsports, Ferrea Racing Components, CTech Manufacturing, & Race-Fan.#RaceEngines #EngineBuilding #DragRacing #RoadRacing #Motorsports #ProMotorEngines #EngineTech #Horsepower #TransAm #TopFuel

Episode: 3398 In which a remarkable engineer, Jerome Hunsaker, begins a career that will help to define American air power.  Today, an engineer and an airplane.

Episode: 3397 In which old magazines returns us to a time when our reading was not limited by what we chose to read.  Today, what is a magazine?

https://youtu.be/eUqMjIq3r2U Brian Hong, Founder of Infintech Designs, Flowbots.ai, and BigEasyData.ai, is driven to Build AI Revenue Engines that create freedom by helping businesses generate more leads, sales, and revenue while increasing the productivity of their teams. By combining SEO, AI automation, business intelligence, and human expertise, Brian helps companies improve their marketing, systemize their operations, and enhance their people with AI rather than simply replacing them. In this conversation, Brian introduces his Team Building Framework—Attract and Assess A-Players, Productize and Systemize, Hire People Who Can Follow Instructions, and Enhance with AI Capabilities. He explains how placing people in roles where they can thrive creates stronger teams, why clear processes and blueprints make it easier to scale, and how AI can enhance employees by increasing their productivity instead of replacing them. Brian also discusses how SEO is evolving with ChatGPT and Google AI Overviews, why businesses need to build brand authority and entity breadth, and how business intelligence can identify the specific areas where AI can create the greatest revenue impact. — Build AI Revenue Engines with Brian Hong  Good day, dear listeners. Steve Preda here with the Management Blueprint Podcast, and today my guest is Brian Hong, the founder of Infintech Designs, Flowbots.ai, and BigEasyData.ai. These are New Orleans-based companies, including a digital marketing agency, focused on building more leads, more sales, and more exposure online with strategic SEO and digital marketing strategies. Brian, welcome to the show.  Thanks. Thanks for having me.  So you have quite a portfolio. I also read on your LinkedIn page that you invest in other companies, and then you support them as well. So it sounds like you have a lot of irons in the fire. But before we get into all that, my question to you is, what is your personal “Why,” and how are you manifesting it in your business, or businesses?  Why do I work so hard? Why do I want to build all these companies? To me, money creates freedom. I’m trying to bank as many freedom points as I can to live life on my own terms, and to do and have experiences with the people I love. That’s my “Why.”  Wow. How does that manifest in your businesses?  That’s a good question. I'm building AI automation to get my time leverage, to create duplication, so I can 10x the productivity of my employees. Not hire more people, but keep my A-players.Share on X Because if I have an A-team, or can cultivate an A-team, then I think I can bank more freedom points at a more efficient and scalable process. Don’t hire more people. Hire people intentionally, and 10x their productivity. That would be a domino effect to align with gaining more freedom points.  So what’s the maximum number of freedom points? Is it like a 100-point scale? What does it look like to have 100 freedom points?  It’s working because I want to, not because I have to. Because I love working. It’s living life on my own terms and focusing my time on things that I want to do. For instance, I have a house cleaner. I don’t want to clean the house. My time is better spent doing something else that I passionately want or love to do. Unless I loved cleaning houses. That’s fine. Maybe that’s therapeutic for some people. But it allows me to live life on my own terms. Money is the key that unlocks those opportunities to live life on my terms.Share on X  How do you maximize your freedom points? What does it look like when your freedom points are maxed out?  Then I’m working because I want to, not because I have to. I still want to work. I still want to build. I love building things. I’m not the type of guy who wants to go to the beach, sit on the beach, and do nothing all day. I might do that for an hour. I’ve got to be doing something. I have to be building. It’s just the way I’m programmed. Maybe I don’t want to work as much as I do now, but I can’t imagine a life doing nothing. To me, that doesn’t serve a purpose.  Yeah.  I like building. I love contributing. I love being a part of the equation of success. It's just fun to me. I get gratification out of it. I like creating jobs.Share on X I like creating communities. I like meeting people. It’s interesting to me. It fills my bucket. That bucket is filled to then, I mean, try and give me freedom points to then go spend some personal time creating experiences with the people I love, mainly my wife and my child.  That’s amazing. Okay, let me take a step back. You have multiple companies. You have Infintech Designs. You have a couple of AI companies as well. How does that portfolio work?  I essentially do this. I have a construction company as well, TurnKey Renovators, a GC for residential. I have a couple of e-commerce companies. Really, I’m doing the same thing over and over. Earlier in my life, I used to wait tables. My takeaway from that experience, from working at Applebee’s to fine dining, is: How many different dishes can you make with the same ingredients?  With my knowledge, my resources, and my skills, how many different things can I do with them? This is my version of it. All those companies, by the way, I’ve never stroked a check. I pretty much say, “Give me half your company, and I’ll help you grow it.” I’ve never cut a check because I give them what they really want, which is the outcome they want to achieve with that money. They want the money to help grow their company. What if I just help you grow your company?  So I ask for an equal seat at the table, and in exchange, I’ll install what I know and go grow it. I’m essentially doing that over and over. My time is spent on high-level decisions, systems, processes, automation, and marketing.  Yeah. Love it. You know, I always wondered about marketing agencies. If they really know how to grow sales, why are they not doing it for themselves, and why are they offering it to others? It sounds like you are drinking your own Kool-Aid, and you are using your own product.  Yeah. Definitely. We practice what we preach. I see some companies doing that because there’s also an abundance mindset. If I can do it for me, and I can do it for someone else, let me just create another revenue stream and do it for both of us.  Okay. That makes sense. This podcast is all about frameworks. I wonder, what is a framework that you have created or discovered that helps you be effective in what you do, and that you could share with the audience so they might also find a way to leverage it in their business?  I guess it depends on many things. From team building, it may be doing a DiSC Assessment and Kolbe tests to make sure we place each person in a situation where they thrive. Sometimes when things aren’t working, maybe the owner, the manager, or the person needs to look in the mirror and say, “This is my fault, not the employee’s fault.” “I didn’t set them up for success.” “I’m trying to stick a round peg into a square hole.” “I’m trying to put them in a position that they may not thrive in, and they’re not programmed to naturally do.”  So we’ll sometimes do these assessments, whether it’s a personality clash or a personality type, and make sure we place them in a role where they’ll thrive. So that could be a framework. Setting the employee up for success. Once we do have an employee, the better the plan, the better the outcome. So try to productize and systemize everything we do. If we have a blueprint people need to follow, then I can spend more of my time not finding specific talent and skills, but finding people who can follow instructions.  Because if we have the blueprint, and this is what you need to do, then I can get a lower-wage worker who doesn’t have a specialized skill. That specialized skill will be developed because I’m handing you the blueprint of what you need to execute.  So that’s the three-step framework. Set employees up for success by delegating tasks that fit their personality. Then productize and systemize. Then find people who can implement. To what extent does that work in the AI age? Are these people who just execute tasks according to instructions still solving the problems, or is that no longer working because of the fast pace of change?  It depends on what the activity is, but generally, and more often, it’s human enhancement, not human replacement. So instead of saying, “Let’s just say I have a web developer, and I get more business, so I need to hire a second web developer, web designer, programmer, then a third one, then a fourth one.” The new version today is: keep the one you have, and instead of hiring another human, 10x their productivity with an AI-driven solution.  Allow them to do more with less. Allow them to duplicate their activities so they focus on their revenue-generating activities, on the decisions and activities that AI cannot do, as of yet. That’s how we turn an A-player into an A-plus player. That’s how we turn a B-player into an A-player. That prevents me from having to hire people I don’t want working for me, which are C-players.  Isn’t there a risk that when you have too few players, even if they are A-plus, there’s too much dependence on a single person? Well, I mean, we’ll hire more than one. I have a seven-person leadership team. I have two main managers. I have a department head and then an associate, so there’s always some level of duplication. Then you have an AI layer in between that. So between all of that, yes, if someone gets struck by lightning or someone is sick, the ship needs to keep sailing. We can’t shut down the business.  Love it. What is driving growth in your business?  Relationships. SEO. Ranking in LLMs. Google AI Overviews. ChatGPT. I’d say those are the main pillars that are creating opportunities. I also own a conference, rockstarsconference.com. We’re entering our 15th year. That’s network value, positioning of expertise, and relationship building. Things that AI cannot replicate. Human connections. Then I also do SEO for myself, right? Our last handful of leads that came in through Flowbot.ai. This one particularly stands out. There was this roofing company that sent me an email. We actually talked on the phone.  He really blew up my ego and talked about how great I was. I thought he was a referral. I’m like, “Man, why does this person think I’m so great? It’s really odd.” I said, “Can I ask how you heard about me?” He’s like, “Oh, I spent the last two hours talking to Gemini because I discovered you through Google AI Overviews, and it just told me you’re great.” So I’m like, we’re entering a new world. That is a referral. It’s not from someone I know who spoke highly about me. It’s through a language model. Gemini said I was great, so this person believed I was great.  That’s amazing. That’s very cool. So you have these four pillars. I love it. Relationships, SEO, GEO—or whatever AI referrals you want to call it—and the conference. Would you bucket the conference into the same category as relationships, or is that more of a proactive way of creating a community beyond personal relationships? Is it the same thing?  It checks a lot of boxes. A few of my business partners were born out of that conference. New opportunities and getting clients were born out of that. Knowledge gain. Knowledge transfer that I gained to go implement. So it checks all the boxes. I’m gaining knowledge. I’m gaining relationships. I’m gaining partners. I’m gaining new systems. New processes. I’m gaining sparks, catalysts, and kind of tracks to go down and explore. So it kind of checks a lot of boxes.  Yeah. Love it. So the SEO and GEO piece, is it something that is static, or is it dynamically changing all the time?  Dynamically changing. It’s SEO 3.0, right? SEO is dead. It’s dead if you’re doing SEO the old way. Getting ranked in ChatGPT, the LLMs, and Google AI Overviews. Let’s just say it’s everything you do with SEO, plus more now because you have ChatGPT citations. You have sources that these LLMs frequently query. Then, in the world of SEO—the search engine Google—you have broad core updates. Broad core updates. Updates to the algorithm. That’s pretty much what it means.  They also occur within LLMs. So it’s pretty much do SEO, plus more. What is the plus more? If I had to distill it, it’s get brand mentions and actually become a brand. Do podcast interviews like this. Get press releases. Get write-ups. Be on SoundCloud. Do social media. Post on LinkedIn. Get write-ups in news and media publications. Appear in Google News. Have a website that has dynamic content. Create your topical map. The list keeps on going. Build your brand. That’s the SEO of today. That will put you in a position to get mentioned in ChatGPT and Google AI Overviews.  Yeah. That’s fascinating. I’m just thinking about my business. We had a website that actually got some referrals from AI. We even got some clients last year. Then we split the website into two websites, and things dried up. It was kind of an interesting situation. We still had the same amount of content, but we moved it to a different domain, and it did not register the same way. Do you see that often?  Yeah. You want Google and LLMs, at the most basic level, to have a better understanding of who you are, what you do, where you do it, and the services you offer through having something called breadth of entities. Entities are the nouns of the internet. Entities are a signal. A language. All Wikipedia pages are entities, but not all entities have Wikipedia pages.  They’re the nouns of the internet. It’s a layer of clarity for search engines, algorithms, and LLMs to understand who you are, what you do, and where you do it. It’s not the only signal, but at a foundational layer, that should be implemented. So what we’re talking about is creating content. What does that mean? Create content on your website. Don’t create content for the sake of creating content because anybody can create content with AI.  Create intentional content that satisfies the user and aligns with certain algorithmic components, such as Google's E-E-A-T: Experience, Expertise, Authoritativeness, and Trust.Share on X Everything we’re talking about is SEO. You want optimized content. You want pages. The first 150 to 200 words are important. The last 150 to 200 words are important. Add tables. Add bullet points. Make sure your content is clear. Position yourself with authority.  Have links pointing to it. Interlink it. These are all SEO kinds of activities. So SEO is alive and well, but there are new layers you need to add on top of that to create optimal positioning in Google AI Overviews and ChatGPT.  Yeah. I saw one of your videos on your LinkedIn page where you actually explained what is the wrong way to do SEO and the right way to do it. I think you had your alter ego disputing with you. Yeah. That was pretty funny. So that sounds like a lot of work. Can you delegate that to AI agents to do this kind of stuff?  Yes and no. It’s not like I just click a button and step away. It takes a human-in-the-loop system, and that’s what we’ve developed. So yes, I don’t need as many humans, but I still need humans.  So you said that in one of these companies you have 100 AI agents working on SEO, creating SEO impact for your clients. What is it that the AI agents can do, and what is it that you still need the human to do?  The AIs collect information, rapidly digest it, find patterns, perform pattern analysis, do research, and create content briefs. But there needs to be thought leadership. AI is very directional. It’s, “Go do this,” but we need a human to point it in the right direction. We need to create guardrails. We need to create a source of truth. It needs to know where to look for the right information. It needs direction on what to do with this information.  How should I digest it? How should I format it? How should I break up the heading tags? It needs that element where it can go do it, but the human is part of that last-mile conversion. So maybe the AI does zero to 80, and maybe the human does the 80 to 100.  Yeah. That’s very interesting. So what’s one thing that you’re actively trying to figure out in your business?  How to automate everything. Everything is a complete agentic workflow that is proactive, not reactive. Where I have a board of advisors every day looking at how they can serve me.Share on X Identifying the patterns in my life that I need to stop doing and they can do. Developing skills, if they don’t have them, to go execute that. Having a feedback loop to constantly improve.  This has become superintelligence. Agentic work, which is kind of here. That’s what maybe some people have heard about: OpenClaw. Then you have something called a Hermes agent. These things are here, but they need to be trained. They need to be fed the right information and given the right guardrails. But it has begun, and I’m trying to go down that journey.  Isn’t that overwhelming to think of all these details, managing these agents, and making sure they’re not going rogue or getting confused by what every one of them is doing?  It’s overwhelmingly exciting, but not overwhelmingly bad, because this is the worst it’s going to be, and it’s mind-blowingly good. It’s overwhelming because it’s so amazing and so awesome. It’s garbage in, garbage out. I am the architect trying to create the blueprint on how to control these agents. To me, that’s incredibly exciting and incredibly amazing. To be a part of this time in history, it’s like that feeling when I dropped out of college and this thing called the internet was born in 2000.  I knew the world wasn’t going to be the same again. That same feeling came again in 2022 when I heard about ChatGPT. I created my first AI company in 2023. I said the world isn’t going to be the same again. I have the same feeling I had in 2000, but times 100. So to me, it’s overwhelming, but overwhelmingly exciting.  Yeah. So what does one do if they want to get, okay, let’s say it’s me. I use ChatGPT actively, but I’m not building AI agents. What would you recommend that I do? How do I even get started?  What is your pain point? Is it communication? Is it writing emails? Is it reporting? It kind of depends, right? You can customize it based on your pain points. Where are you spending your time, and where should you be spending your time?  Yeah. That’s a good question. I think the first question is, what should I even use it for?  I can give you some ideas. A handful of things I use it for, but not limited to. I can give you use cases that we do for other people. So to construction company, inbound and outbound calls. We never miss a phone call. We answer every single one. We qualify the lead. We seamlessly connect to a CRM. We know if it’s a new customer or an existing customer. If it’s an existing customer, we can look at their history. We can now have an intentional conversation through voice.  I can clone that. I can qualify them. I can book the appointment. I can put it on the salesperson’s calendar. I can receive a text message. I can read the message. I can set the salesperson up for success. I can then pull their address. I can then pull their demographics. I know their net income. I know their affinities, their interests, their hobbies. I know whether their house has a pool. I know the number of bedrooms and bathrooms. I know their credit score. I know their disposable income.  My layer of intention is going to be very different if I have all of this data to interact with that person, either through a voice agent, an AI agent through SMS, through email, through voice, or I can pass that information to the salesperson so they know what they’re walking into. They know the opportunity. So we have lead scoring. We have prioritization. That's one thing we could do: taking over your appointment setting and lead qualification.Share on X Then we can create reporting.  Then we can create trend forecasting. We can turn your business into a mathematical equation. We know 10 leads equals 3 appointments, equals 2 shows, equals 1 person who shows up, average ticket $10,000. We know that formula. Then we say, “Well, we need to feed it more.” The math equation is 10 equals $10,000. Whatever that math equation is, that’s the position I want to be in. I want to make data-driven decisions. So AI is an accelerator to achieve that.  What’s at the top of the funnel? Is it advertising?  Yeah. It could be Facebook Ads. Google Ads. SEO. It kind of depends. Do you want expensive and fast, or do you want cheap and slow? Expensive and fast. When I say expensive, I mean cost per acquisition and cost per visibility. That’s going to be Google Ads, Facebook Ads, LinkedIn, TikTok—anything where you’re buying media. That’s going to be expensive because you have to pay on a per-click basis or a per-impression basis. The cheap and slow is going to be something like SEO.  Do the work now to feel the impact later. It’s signal building. You don’t have to pay on a per-click basis. You don’t have to pay on a per-impression basis. But you have to build signals. Those signals cost money. You have to do the work, but it’s not going to happen overnight. You do the work now to feel it later. It’s an investment. So ideally, you do both. You take a blended cost per acquisition because your SEO channels almost 99% of the time are going to have the lowest cost per acquisition. But speed is going to come from Facebook Ads and Google Ads. So you take the best of both worlds with a blended cost per acquisition.  Is the formula the same for business-to-consumer and business-to-business companies, or is it different?  Yeah. The algorithm doesn’t change. The algorithm is the algorithm. The messaging is different, but it’s the same across the board. The concepts are the same. There are some things, like in medical. Google specifically has something called YMYL—Your Money or Your Life. That’s going to be finance businesses, payday loans, and medical. Those things have a high impact on your life.  So they may have a little more scrutiny, and it might be harder to build trust and validation because of the category you’re in. In that aspect, yeah, the formula is a little bit different. But the activities you engage in are the same. You need to build content. You need to build your brand. You need to build links. You need to optimize your website. You need to create on social media. It’s all the same.  Yeah. Fascinating. So who is the ideal client that you would like to respond to this podcast?  Man, I get asked that, and I’m having more difficulty because I have a lot of companies in my portfolio, right? I have, as of now, about seven companies. I’d say companies that want to automate. Why do you want to automate? The first step of that is maybe building intelligence—business intelligence. You can’t improve what you can’t measure. What if we build a system where maybe you take two steps back to take 10 steps forward?  The two steps back is building business intelligence through AI-driven systems to have segmentation and attribution on exactly what’s happening. How many leads are you getting? Where are they coming from? What is your workflow? Create the math equation. Now we have a measurement. We have a benchmark. Now we can build custom AI agents to say, “This is what we need to focus on first.” So we have our foundational layer, our source of truth.  Maybe that’s a good first step, so you’re not doing a spray and pray. You can say, “Now I know what I need to do. Now I know where my problems are.” Let’s remove the emotion of, “I think.” It now becomes, “I know this is a problem.” Now let’s zoom in and say, “Well, how do we solve this problem?” Are leads the problem? Or is it connecting to the leads? Is it showing up to the appointment? Is it closing the deal? Are we closing deals, but the average ticket is low?  If we close one deal, is it upselling to a second deal? What is the one-year value? Lifetime value? First transaction value? If we don’t know that, then how do we create a math equation of success? How do we know what bucket we need to feed? How do we know where the problem is or isn’t? If we do know where it is, then we can say, “Let’s build a second AI agent.” How do we augment and enhance maybe lead-to-connection rate? Let’s build an SMS agent.  A voice agent. An outbound agent. Let’s build nurture and upsell. Let’s follow up in perpetuity, forever. Let’s tackle that first because we have clear, data-driven insights showing this is a problem. I would say people who want clarity on where their problem is, or maybe they know where their problems are. Then that could be a starting point. So it’s hard for me to answer because I’ve got my hands in so many different buckets.  I’m top of funnel. I’m middle of funnel. I’m bottom of the funnel. I’m top of funnel. Introduction. Brand. Product or service. Google Ads. Facebook Ads. SEO. GEO. I’m middle of funnel. Turning visitors into customers. That’s follow-up AI systems. That’s operational efficiencies. That’s touchpoints. That’s nurturing. I’m bottom of funnel. I’m business intelligence. Segmentation. Attribution. I can help with all stages. I just need to talk to businesses. Businesses that want to grow and generate more revenue. That’s my audience.  Love it. Love it. So if you have a business that wants to grow and generate more revenue, then make sure you check out Brian Hong on LinkedIn. Where else should people go if they want to learn about your companies?  Yeah. I’ve got Brian Hong Digital on Instagram. I’m trying to build my own personal brand. I’m about to relaunch some videos again. I’ve been busy with another acquisition of another marketing agency. I’d say check out the socials or send me an email through Flowbots.ai or InfinTech Design.  Okay. Sounds good. So check out Brian. I mean, that’s pretty amazing. The complexity that you’re managing. Not just the number of companies. The number of investee companies you’re in. The products you’re building. The conferences. It’s kind of mind-boggling how you’re managing that complexity. But I guess you have a couple hundred AI agents at your service. If you’d like to learn more and explore Brian’s products, go to his LinkedIn page.  Then you can connect to his different companies from there. If you enjoyed this conversation, make sure you stay tuned because every week I bring a couple of amazing entrepreneurs like Brian who will open your eyes to the opportunities ahead of you. So thanks, Brian, for sharing your knowledge and insights. Thanks for listening. Thanks, Steve. Appreciate it. Important Links: Brian's LinkedIn Brian's  website

Episode: 1614 Advice on how live our lives from 1836.  Today, we learn how to live our lives -- in 1836.

Episode: 1613 In which Michael Faraday helps us to parse the word, Genius.  Today, we watch genius at work.

Episode: 1612 Trying to tell the story of the worst battle.  Today, we wonder how to tell of history.

**Jeep Talk Show – New Jeep Scrambler Plans, Battery Trickle Charging Tips, Video Voicemails & More** Welcome back to the Jeep Talk Show, the longest-running and best Jeep podcast out there! Tony and Josh (back in the mix) dig into Jeep's upcoming Scrambler, why they think it's going to happen around 2028, the design details that have them both excited and pissed off (IFS front *and* rear? Side steps? Modular rear seats that flip for tailgating? A K5 Blazer-style removable hatch?), and whether this "halo" desert-racer two-door pickup is actually for Jeep people or just another attempt to chase the side-by-side market. They also cover: - Real-world trickle charger problems (and a better, simpler solution) - How to leave a proper video voicemail (and why the Camflare redirect is legit) - A listener video voicemail from Nathan in Pittsburgh - The new "Most Popular / Best Of" page on the website that remembers what you've already heard - Bonus segment teaser: Hard shackles vs soft shackles (YouTube members & Patreon only) This is pure Jeep Talk Show — honest opinions, zero corporate filter, and plenty of laughs. ### Timestamps 00:00 Intro and Call to Share 01:27 Scrambler Intro and Bonus Segment Tease 02:32 Scrambler Prospects and Voice Mail 03:27 Scrambler Concept and Naming Debate 04:58 Scrambler Timeline and Near‑Term Outlook 06:59 Scrambler Design and Utility Features 11:34 Scrambler Versatility, Halo Role, and Engines 13:05 Side‑Step Concerns and Design Critique 14:15 Mic Glitch and Quick Design Note 14:42 Editing Interlude and Halo Concept 15:27 Clarifying Halo Terminology 16:44 Engine Feasibility Discussion 18:10 Drivetrain Options and SRT Overview 19:21 Desert Racing Focus 20:13 IFS vs Solid Axle and Market Strategy 22:01 Front‑End Design and Styling Highlights 25:02 Cost Concerns and Trophy‑Truck Aspirations 26:17 Trophy‑Truck Speculation 27:29 Jeep Strategy vs Side‑by‑Side Market 30:46 Success Outlook and Listener Feedback 32:22 Listener Engagement Options 32:42 Interactive Listening Challenges 34:12 CamFlare App Explanation 38:51 CamFlare Installation and Submission Guidance 40:19 Personal Updates and Lockbox Mention 41:16 Trickle Charging Tips and New Charger 47:08 Bluetooth Load Tester Overview 48:16 Navigating Podcast Archive 50:07 Meta Discussion on Episode Length 53:26 Closing Remarks and Disclaimer ### Key Highlights - Jeep is finally admitting past mistakes and aiming the Scrambler at the high-speed desert / side-by-side crowd instead of pure rock crawling. - Expected powertrains include the 2.0 Hurricane, 3.6 Pentastar, and a possible 6.4 392 Hemi SRT version. - Tony's take: cool looking, interesting, but IFS (especially rear) means it's not a real Jeep for him. - Practical garage tip: many cheap trickle chargers draw power from the battery when "off." A simple automatic maintainer + smart plug schedule fixes it. - New website feature: jeeptalkshow.com/bestof (or "Most Popular" in the menu) ranks the top 50 episodes by downloads and remembers what you've already played. **Share the show.** Seriously. Even if you only half-enjoy it, tell somebody. We're not asking for much — just hit the share button. Drop a comment with your thoughts on the Scrambler (love it, hate the IFS, want a solid-axle version, etc.). Leave us a video voicemail at jeeptalkshow.com/voicemail (30 seconds, landscape mode, download Visit our website: https://jeeptalkshow.com/ Watch/Listen on Spotify https://jeeptalkshow.com/spotify Join our Discord Server: https://jeeptalkshow.com/discord Subscribe to our newsletter: https://jeeptalkshow.com/newsletter Help Support the show via Patreon: https://jeeptalkshow.com/patreon

Episode: 2627 Clash of the Titans: The Bohr-Einstein Debates.  Today, a clash of titans.

Episode: 3396 How we live with two competing vocabularies – technical and commonplace.  Today, treacherous words.

Episode: 3395 Century Magazine reveals how scientists were viewing the new X-Rays in the year after their discovery.  Today, X-Rays one year old.

Episode: 3394 An old book of WW-I aeroplanes reveals something about technological change in wartime.  Today, an old book with an unintended message.

Episode: 1611 Benjamin Franklin and Cotton Mather: ideologies diverge and converge.  Today, Benjamin Franklin and Cotton Mather.

Episode: 1610 Thoughts on the nature and purpose of experiments.  Today, we wonder why people do experiments.

Episode: 1609 Benjamin Franklin's experiments in thermal radiation.  Today, Benjamin Franklin thinks about theoretical and applied science.

Bob Zimmerman reports SpaceX's 13th Starship Super Heavy launch was a major success, demonstrating the reliability of Raptor 3 engines and the thermal protection system. Zimmerman highlights the shift toward a "capitalism model," where private companies manage missions for NASA. Meanwhile, a schizophrenic GAO report on NASA's workforce reductions suggests that budget cuts have not significantly impacted major projects, despite agency officials' claims that funding decreases are "disastrous." (15)

About James HaydenI've generated over $1B in revenue across SaaS, marketplaces, and enterprise services — and built first revenues for companies from zero across 140+ engagements.Book a Free 30-Min GTM Diagnostic →I build go-to-market engines for B2B companies that drive lasting revenue. Over 38 years, I've transformed sales teams, opened new markets, and created new revenue streams for more than 140 companies. I serve as a multi-company advisor to US enterprises, the government of New Zealand, and several Central American governments.My client and employer roster spans enterprise technology, SaaS, hospitality, automotive, and government sectors across four continents:Enterprise & Technology: Microsoft, Oracle, Cendant, TravelClick (acquired by Amadeus), Zipwhip (acquired by Twilio for $850M), Zumobi, Uniken, RESAAS, LodgIQ, FingermarkAutomotive: Ford, GM, Stellantis, BMW, Mercedes, Toyota, Lexus, KiaMedia & Partnerships: MSNBC, StarbucksGovernment & Trade: New Zealand Trade and Enterprise (NZTE), Government of Costa Rica, Government of GuatemalaStartups & Ventures: Hotelscan (successful exit), Ortega Expansion Consulting, Hayden Marketing Inc., Dignity For DivasWhen I took over TravelClick's lowest-performing division, it ranked last out of four. Within a year, I turned it into the company's top-performing unit — a turnaround that directly contributed to the company's successful exit. If your sales org needs a reset, this is the kind of result I deliver.I was a founding member of Hotelscan, where I built over 140 partnerships from scratch. That groundwork drove the company to a successful exit in 2019. I know what it takes to build revenue from zero — because I've done it repeatedly.I learned to sell young — door-to-door as a kid — and never stopped refining the craft. My methodology is built on decades of real-world results, not theory. I wrote Adapt or DIE to share the approach that has driven my results, available in paperback, Kindle, and audiobook.Don't forget to check our Expert Content Society LinkedIn Content Community here:https://www.thetimetogrow.com/expert-content-society

Episode: 2623 Thomas Carlyle and the Working of Free Markets.  Today, economic salvation.

Send us Fan MailThe way prospective clients choose lawyers, mediators, and divorce professionals is changing—and referrals are no longer the only factor that matters.In Part 1 of this four-part series, Sylvia introduces the first of four recommendation engines that influence whether someone decides to contact you: your clients. She explains why exceptional professional work doesn't automatically translate into referrals, reviews, or recommendations, and why the experience clients have throughout their journey often matters just as much as the outcome itself.You'll learn how communication, expectation setting, responsiveness, and the way you close a case all shape what clients say about you after the work is complete. Sylvia also shares three critical moments in every client journey that can have a greater impact on referrals and online reviews than many traditional marketing activities.If you want to create a client experience that naturally generates stronger referrals, more positive reviews, and long-term trust, Part 1 is the perfect place to start.What you'll learn:01:54 Four Recommendation Engines06:49 Engine One Your Clients08:05 What Clients Remember11:20 Communication and Expectations13:49 Three Referral Defining Moments15:47 Endings,  Reviews and Referrals18:06 Audit Your Client ExperienceResources: Sign up for our next FREE Workshop on August 12th, 2026. Feeling stuck about how to grow your practice, book a free strategy call here.#133 The One-and-Done Client Problem #117 How Professionals Lose Clients – And How To Fix It Fast #107 Your Intake Calls Are Telling You Exactly What to Say in Your MarketingClick here and don't forget to hit the "Follow" button so you never miss a new episode!Download Free Guide: How Lawyers and Mediators Can Attract More Ideal ClientsWant more insights like this?  Sign up for our newsletter.Sign up for our free LinkedIn newsletter on marketing your professional practice Connect with me on LinkedInJoin our online communitySubscribe to my YouTube channel  

Episode: 3393 In which the 1928 Curtiss Robin airplane was far more than it seemed to be.  Today, a ride in a bland airplane.

Episode: 3392  The Rise of Orientalism and its crescendo in the Roaring ‘20s.  Today, strange happenings in the 1920s.

Episode: 3391 In which Project Mohole looks inside Earth while Sputnik reaches outside.  Today, Inner Space versus Outer Space.

SpaceTime Series 29 Episode 89 A lucky 13th test flight for the world's biggest rocket The world's largest and most powerful rocket has successfully launched on its latest test flight bringing it a step closer to NASA's Artemis program's aim of returning humans to the lunar surface, and eventually on to Mars and beyond. Scientists identify the asteroid that killed the dinosaurs A new study has determined that the asteroid which slammed into the Earth 66 million years ago wiping out over 75 percent of all life on the planet including all the non-avian dinosaurs was most likely a rare CO type carbonaceous chondrite. SpaceX rocket about to crash into the Moon The spent upper stage of a SpaceX Falcon 9 rocket is about to slam into the visible side of the Moon, providing scientists with a new method of pinpointing exactly where objects strike the Moon, data that could help prepare for future lunar seismic experiments. The Science Report Warnings that a third of all heart related deaths due to ultra processed foods. New data suggests fewer people in Australia are now smoking. Scientists have identified high levels of vehicle tyre dust on local Brisbane balconies. Iran continuing its nuclear weapons program in a complex deep below Pickaxe Mountain. Skeptics guide to fake news click bait. Our regular guests: Alex Zaharov-Reutt from techadvice.life Tim Mendham from Australian Skeptics  

Episode: 1608 Three scale models of structures, with vastly different weights.  Today, we design for tension.

Episode: 1607 Continuous-aim firing: a diagnosis of an ill-received idea.  Today, we aim a gun from a rocking platform.

Episode: 1606 The Skycity: a concept struggling against its own Gothic weight.  Today, the skycity.

Episode: 2622 Watson: A computer system that plays Jeopardy!.  Today, Jeopardy!.

Episode: 3390 Geraldine Watson & The Big Thicket National Preserve.  Today, Geraldine Watson & The Big Thicket National Preserve.

Engines have cooled on 2026 MotoGP for the moment…but Adam, David and Neil gather to review the first half of the Grand Prix season with their picks and categories for Best & Worst (and more) from the eleven rounds to-date.

Episode: 3389  In which Carlo Antonio Testore's violins and other stringed instruments show him to be a different kind of Luthier.  Today, a luthier teaches us a lesson.