Podcast appearances and mentions of ben james

The following is AI-generated approximation of the transcript from the Equipping Hour session. If you have questions you would like to be addressed in followup sessions, please direct those to Jacob. Opening & Introduction Smedly Yates: All right, this morning’s equipping hour will be about artificial intelligence—hopefully an attempt to introduce this topic, help us think through it carefully, well, biblically. Let me just open our time in prayer. [Prayer] Heavenly Father, thank you so much for your kindness to us. Thank you for giving us all that we need for life and godliness, for not leaving your people adrift. Thank you for putting us into this world exactly in the era that you have. We pray to be effective, fruitful, in all those things which matter for eternity in this world, in this time, in this age. God, we pray for wisdom, that you would guide our discussion here. We pray that this would be of benefit and a help to Grace Bible Church. We ask it in Jesus’ name. Amen. Here’s the layout for this morning and for a future equipping hour. We’ll be talking for about 35 minutes, back and forth—Jake and I—and then at 9:35, the plan is to go to Q&A. So, this is an opportunity for you to ask questions. At that point, I’ll surrender my microphone and you guys can rove and find people. For the next 33 minutes or so, you can be thinking about the questions you’d like to ask. Jake’s going to do most of the talking in our time here. I’m going to set him up with some questions, but just by way of intro, I want to get some things out of the way as we’re talking about artificial intelligence. You might be terrified, you might be hopeful. I want to get the scary stuff out of the way first and tell you what we’re not going to talk about this morning. Is that fair? Artificial intelligence is here. Some of you are required to use it in the workplace. Some of you are prohibited from using it in your workspaces. There’s nothing you and I can do to keep it from being here. Some of the dangers, some of the things you might be wondering about, some of the things that make the news headlines—over the last two weeks, scanning the headlines, there was a new AI headline every day. One of the terrible things that we won’t talk about today is the fact that nobody knows what’s true anymore, right? How can we discern? But the reality is the god of this world has been Satan for the entirety of human history and he’s a deceiver from the beginning. There’s nothing new about lies. They might be easier and more convincing with certain technological advances. The lies might be more ubiquitous, but the same humanity and the same satanology are at play. We may be concerned about societal fracture and distrust. Some people, if they distrust new tech, will withdraw from society. Others will fully embrace it. And so you get a fracture in society—those with, and those without tech. Some people will just say, “If the digital world works, we’re going to use it.” That’s not the Christian perspective. We’re not simply pragmatists. We do care about what’s true and what’s right. Some are worried about AI chatbot companions that will mark the extinction of relationships, marriage, society. I probably fall into the category of those who assume that AI will mean the end of music or the death of music and other art forms. That’s just me, a confession. People run to end-of-the-world scenarios—the robots decide they don’t need us anymore or the collective conscience of AI decides that humanity is a pollutant on Mother Earth, and the only way to keep the earth going is to rid itself of humanity. The survival of the planet is dependent on our own extinction. So AI will bring about a mass human genocide and the end of homo sapiens on earth. We know that’s not true, right? We know how the world ends, and it doesn’t end by an AI apocalypse. So don’t worry about that. Some people worry that AI will be a significant civilization destabilizer. That might be true. But we know that God is sovereign, and we know where society and civilization end up: at the feet of Jesus worshipping him when he rules on the earth for a thousand years leading into the eternal state. So don’t worry about that either. Some believe that AI is the antichrist. Now we know that’s not true. What is the number of the beast? 666. And this year it got rounded up to 67. So we know AI is not the antichrist. 67 is the antichrist. And if you want to know why the numbers six and seven got together in the year 2025 and formed the new word of the year, ask your middle schooler. Is that all the scary stuff? Not even close. I have a family member who has worked in military intelligence working on artificial intelligence stuff for a long time. He said it’s way scarier than you could possibly imagine. Do you want to say any more other scary scenarios we shouldn’t be thinking about? Jacob Hantla: No, we’ll probably cover some of those. Smedly Yates: Okay, great. What we want to focus on today is artificial intelligence as a tool. Just as an axe can be a tool for good or evil, AI is a tool that either has opportunities for betterment or opportunities for danger. So we want to think about that well. What you have on stage here are two of the shepherds at Grace Bible Church. You’ve got Jake Hantla, who is the guy I want exploring artificial intelligence and telling us how to use it well—he has and he does. And then you have me; I intend not to use artificial intelligence for now. We’re on opposite ends of a spectrum, but we share the same theology, same principles, same concerns, and I think the same inquisitive curiosity about technological advances. I drive a car; I’m not Amish in a horse and buggy. I like tech. But on this one, I’m just going to wait and see. I’m going to let Jake explore. From these two different poles, I hope we can be helpful this morning to help us all together think through artificial intelligence. What is AI? Smedly Yates: Let’s start with this, Jake. What is AI basically? Jacob Hantla: At the heart of it, most forms of AI are a tool to predict the next token. That might not mean much to you, but it’s basically a really fancy statistical prediction machine that accomplishes a lot of really powerful outcomes. It doesn’t have a mind, emotions, or consciousness, but it can really effectively mimic those things because it’s been trained on basically all that humanity has produced that’s available to it on the web and in other sources. I’ll try not to be super technical, but I want to pop up a picture. Can you go to slide one? When we think of AI, large language models are probably the one that most of you will think of: ChatGPT, Gemini, Grock, Claude, things like that. Effectively, what it does when we’re thinking of language—it can do other things, like images and driving cars and other things, but let’s think of words—it takes basically all that humanity has written and learns to predict the next token, or we could just think of the next word. So, all of you know, if I said, “Paris is a city in…” most of you would say France. Paris is a city in France. How do you know that? Everyone here has learned that fact. Large language models have gone through a process of training where they learn facts, concepts, and grammar, so that they can effectively speak like a human in words, sentences, and paragraphs that make sense. So how did it get to that? On the right, there’s just a probability that “France” is the most probable next word. How did it get there? Next slide. I’ll go fast. Basically, it’s a whole bunch of tunable weights—think of little knobs or statistical probabilities that interlink parameters. These things get randomized—there are trillions of them in the modern large language models. They’re just completely random, and then it starts feeding in text. Let’s say it was “It was the best of times, it was the…” and it might say “gopher” as the next word when you just randomly start, and that’s obviously wrong. The right word would be “worst.” So, over and over and over again, for something that would take one computer about a hundred million years to do what they do in the pre-training, they have lots of computers doing this over and over until it can adequately say, “Nope, it wasn’t gopher. It should be worst. Let’s take another crack at it.” It just manipulates these knobs until it can act like a human. If you fed it a mystery novel and at the end it would say, “The killer was…” it has to be able to understand everything before to adequately guess who the killer was, or “What is the capital of France?” It compresses tons and tons of knowledge from all of the written text. Then you start putting images in and it compresses knowledge from images and experience from life into a whole bunch of knobs—basically, numbers assigned so it can have an output that is reasonable. Next slide. You take people—pre-training is the process where you’re basically feeding text into it and it’s somehow learning. We don’t even know—humans are not choosing which knobs mean what. It’s a black box. We can sort of start to figure out which knobs might mean things like masculinity or number or verbs, but at the end, you just have a big bunch of numbers. Then humans come in and train it—reinforcement learning with human feedback. They say, “This is the kind of answers we want this tool to give.” At the outcome, people are saying, “We ask it a question, it outputs an answer, we say that’s a good one, that’s a bad one.” But in this, you can see there’s lots of opportunity for falsehood or biases—unstated or purposeful—to sneak in. If you feed in bad data into the training set, and if it’s trained on all of the internet—all that humans have made—you’re going to have a whole lot of truth in there, but also a whole lot of falsehood. It’s not learning to discern between those things; it’s learning all those things. In reinforcement learning with human feedback, we’re basically fine-tuning it, saying, “This is the kind of answer we want you to give,” and that’s going to depend on who teaches it. Then the final step is people judging the answers: “This is the kind of answer we want, this is the kind we don’t want.” Lots of opportunity for biases to sneak in. That was a long answer to “What is AI?” It’s a prediction machine with a whole lot of math going on. What Sets AI Apart from Other Technology? Smedly Yates: Jake, what sets AI apart from previous technological advances, especially as it relates to intention? Jacob Hantla: Tech could be as simple as writing, the wheel, the airplane, telephones, the internet—all those things. All of those, in some sense, enhanced human productivity, strength, our ability to communicate. We could pick up a phone and communicate over distance, use radio waves to communicate to more people, but it was fundamentally something that humans did—magnified. A tractor takes the human art, the human attempt to cultivate a field, and increases efficiency. AI can actually do that. A human in control of an AI can really augment the productivity and effectiveness of a human. You could read a book yourself to gain knowledge or have AI read a book, summarize it, and you get the knowledge. But AI can, for the first time, generate things that look human. It’s similar in some ways, but it’s very different in that it’s generative. AI and Truth Smedly Yates: Tell me about the relationship between AI and truth. You touched on it a little bit before. Jacob Hantla: AI contains a lot of truth. It’s been trained on even ultimate truth. AI has read the Bible more times than any of us ever could. To a large degree, it understands—as AI can understand—a lot of true things and can hold those truths simultaneously in ways that we can’t. But mixed in is a lot of untruth, and there’s no… AI can’t have the Holy Spirit. AI isn’t motivated the same way we are to know what’s true, to know what’s not. So, AI contains a lot of truth and can help you get to truth. You can give it a bunch of true documents and say, “Can you help me? Can you summarize the truth that’s in here? Or actually just summarize what’s in here?” If what’s in there was true, the output will be true; if what’s in there was false, it will output falsehood. It doesn’t have the ability or the desire to determine what is true and what’s not. AI, Emotion, Values, and Worldview Smedly Yates: So, ability and desire are interesting words. Let’s talk about emotion in AI, values in AI, worldview, and regulation of data. For us, true/false claims matter—or they don’t—depending on our worldview and values. Is there a mystery inside this black box of values, of emotion? How do we think about that? Jacob Hantla: First, AI doesn’t inherently have emotion or values, but it can mimic it based on the data it’s been trained on. You can ask the same AI a question and, unless you guide it, it will give you likely a hundred different answers if you ask the same question a hundred times. Unless it’s been steered in one direction, some answers will be good, some will be bad—everything in between. It’s generating a statistical probability. It doesn’t inherently have any of those things but can mimic them. It can be trained to have the values of the trainers. You can have system prompts where the system is prompted to respond in a way that mimics values, mimics emotions. The danger is if you just accept what it says as truth, which a lot of people will do. You say, “I want to know a piece of data,” and you ask the AI and the answer comes out, and you accept it. But you have to understand the AI is just generating a response based on probabilities. If you haven’t guided it to have a set of values, you don’t know what’s going to come out—and somebody may hide some values in it. Gemini actually did this. I think it was Gemini 2, but if you asked for a picture of the Founding Fathers, it would—because it was taught in the system prompt to prioritize diversity—give you images of a diverse group of females or different races, other than the races of the actual Founding Fathers, because it was taught to prioritize that. It had a hidden value in it. You can guide it to have the values you want with a prompt. It’s not guaranteed, but this is the kind of thing I would encourage you to do if you’re using these tools: put your own system prompt on it, tell it what worldview you want it to come from, what your aim is, and you’ll get a more helpful answer than not. Is AI Avoidable? Smedly Yates: Is AI something we can avoid, ignore, be blissfully ignorant about, put our heads in the sand? Jacob Hantla: You could, but I think it’s wise that we all think about it. I’m not encouraging people to adopt it in the same way that I have or Smed has. But the reality is, the world around us has changed. It’s irreversibly different because of the introduction of this technology. That’s what happens with any technology—you can’t go back. Technological advances are inevitable, stacked from scientific discovery and advances. If OpenAI wasn’t doing what it’s doing, somebody else would. You can’t go back. You can’t ignore it because the world is going to be different. You’re going to be influenced by both the presence of it and the output of it. When you get called on the phone now with a very believable voice, it might not be the person it sounds like—AI can mimic what it’s been trained on. There’s thousands of hours of Smed’s voice; it won’t be long before Smed could call you and it’s not Smed. Or Scott Demerest could send you an email asking for a credit card and it’s not Scott. News reports are generated by AI; some of them are true, effective, good summaries, and some could be intentionally spreading disinformation or straight-up falsehood. If you’re not aware of the presence of these things, you could be taken advantage of. Some work environments now require you to do more than you could have otherwise, and not being willing to look at the tools in some jobs will make you unable to compete. Commercially Available AI Products: Benefits and Dangers Smedly Yates: Let’s talk about the commercially available AI products that people can access as a tool. What are the opportunities, the benefits, and what are some of the dangers? Jacob Hantla: There are so many we couldn’t begin to go through all of them, but the ones most of you will interact with are large language models—people just say “ChatGPT” like Kleenex for tissues. It was the first one that came out and is probably the most ubiquitous, one of the easiest to use, and most powerful free ones. There’s ChatGPT by OpenAI, Gemini by Google, Claude by Anthropic, Grock by X.AI (Elon Musk’s), DeepSeek from China (good to know that’s made/controlled by China), Meta’s Llama, etc. Do the company names matter? Yes. It’s good to know who made it and what their goals are, because worldviews are to some degree baked into the model. If you’re ignorant of that, you’ll be more likely to be deceived or not use the tool to the maximum. But with all of these, these are large language models. I drive around now with AI driving my car—ultimately, it’s a similar basis, but that’s not our focus here. Large language models open up the availability of knowledge to us. They’re superpowered Google searches. You can upload a bunch of journal articles, ask it to train you to mastery on a topic. For example, I was trying to understand diastolic heart failure and aortic stenosis—uploaded articles, had a built-in tutor. The tutor asked me questions, evaluated my understanding, used the Socratic method to train me to mastery. This could do in 45 minutes what would have taken me much longer on my own. Every tool can do that. The bad side: you could have it summarize articles for you, and now feel like you have mastery you didn’t actually gain. You could generate an essay or pass a test using it, bypassing the entire process of learning and thinking. Students: if you have a tool that mimics human knowledge and creativity, and you have an assignment to write an essay, and you turn in what the tool generated as your own, you’re being dishonest and you bypass the learning process. The essay wasn’t the point—the process was. Passing a test is about assessing if you know things. If the AI does it for you, you bypass learning. I liken it to going to the gym. The point isn’t moving the weights, it’s building muscle. With education, the learning process is like exercise. It’s easy to have AI do the heavy lifting and think you did it, but you didn’t get stronger. So, be aware of what you’re losing and what you’re gaining. The tool itself isn’t morally good or bad; it’s how the human uses it. The more powerful the technology, the greater good or evil can be accomplished. The printing press could distribute Bibles, but also propaganda. Using AI with Worldview and Preferences Jacob Hantla: When I interact with AI on the Bible, I put a prompt: “When I ask about the Bible or theology, you will answer from a conservative, evangelical, Bible-believing perspective that uses a literal, grammatical-historical hermeneutic and a premillennial eschatology. Assume the 66-book Protestant canon is inspired, inerrant, infallible, completely trustworthy, without error in the original manuscripts, sufficient, and fully authoritative in all it affirms. No sources outside of the 66 books of this canon should be regarded as having these properties. Truth is objective, not relative; therefore, any claim that contradicts the Bible so understood is wrong.” I’m teaching it to adopt this worldview. If you don’t set your preferences, you might get any answer. The tool can learn your preference over time, but it’s better to set it explicitly. Audience Q&A Presuppositions and Biases in AI Audience (Nick O’Neal): What about the values and agenda behind those who input the data? What discernment do the programmers have to put that information in? Jacob Hantla: That goes to baked-in presuppositions or assumptions in the model. Pre-training is basically non-discerning: it’s huge chunks of everything ever written—good, bad, ugly, in between. It’s trained not on a set of values. Nobody programs values in directly; the people making it don’t even know what's being baked in. The fine-tuning comes when trainers judge outputs and reinforce certain responses. System prompts—unseen by users—further guide outputs, reflecting company worldviews. Companies like OpenAI are trying to have an open model so each person can let it adopt their own worldview, but there are still baked-in biases. For example, recent headlines showed some models valuing certain people groups differently, which reflects issues in training data or the trainers' worldview. You’re right to always ask about the underlying assumptions, which is why it would be foolish to just accept whatever comes out as truth. In areas like engineering, worldview matters less, but in many subjects, the biases matter. Is There an AI Bubble? Audience (Matthew Puit): When AI came out, the costs rose artificially by companies. Is the AI bubble going to pop? Jacob Hantla: I don’t know. I think AI will be one of the most transformational technologies. It’ll change things in ways we anticipate and in ways we don’t. Some people will make a lot of money, some will flop. If I knew for sure, I could make a lot of money in the stock market. AI-Generated Worship Music Audience (Rebecca): I see AI-generated worship music based on Psalms, but it’s generated by AI. Is anything lost in AI-generated worship music? Jacob Hantla: AI doesn’t have a soul or the Holy Spirit. It can generate worship music with good doctrine, but that doctrine didn’t come from a place of worship. AI can pray a prayer, but the words aren’t the result of a worshipful heart. You can worship God with those words, but you’re not following a human author who was worshipping God. For example, my kids used Suno (an AI music tool) to set a Bible verse to music for memorization—very helpful. Some might be uncomfortable with music unless it was created by a human; that’s a preference. Creativity is changing, and it will get hard to tell if music or video was made by a human or by AI. That distinction is getting harder to make every day. Setting Preferences in AI Tools Audience (Lee): You mentioned putting your preferences in. How do I do that, especially with free tools? Jacob Hantla: Paid AIs get more processing power, context window, and can use your preferences more consistently. Free versions have some ability—you can usually add preferences in the menu. But even if not, you can paste your preferences at the beginning of your question each time: define who you are, what you want, what worldview to answer from. For example: “I’m a Bible-believing Christian,” or “I’m a nurse anesthesiologist.” That helps the AI give a better answer. Parental Guidance and Children Using AI Smedly Yates: What should parents be aware of in helping their kids navigate AI? Jacob Hantla: Be aware of dangers and opportunities. Kids will likely use these tools, so set limits and help them navigate well. These tools can act like humans—kids without friends might use them as companions, and companies are adding companion avatars, some with sinful tendencies. That can be a danger. For school, a good use is as a tutor: after a quiz, have your child upload the results and ask, “Help me understand where I’m weak on this topic.” But also, be aware of the temptation to use AI to cheat or shortcut the process of learning, discovery, and thinking. Which AI Model? Will AI Become Self-Aware? Audience (Steve): Is there a model you recommend? And does the Bible preclude the possibility of AI becoming self-aware? Jacob Hantla: There’s benefits and drawbacks to all. For getting started, ChatGPT or Perplexity are easiest. Perplexity lets you limit sources to research or peer-reviewed articles and can web search for verification—good guardrails. I build in prompts like “verify all answers with at least two web sources, cite them, and state level of confidence.” On self-awareness: AI will never have the value of humans—they're not created in God’s image, they’re made in our image, copying human behavior. Will they gain some kind of self-awareness? Maybe, in the sense of mimicking humanness, but not true humanity. They won't have souls. They may start to fool more people as they get better, but Christians should use AI as a tool, not ascribe humanity or worship to it. AI Hallucinations Smedly Yates: Do you have an example of a hallucination? Jacob Hantla: Yes, Ben James was preparing for an equipping hour session and found a book that fit perfectly—the author and title sounded right. He asked where to buy it, and the AI admitted it made it up. That happens all the time: the model just predicts the next most probable thing, even if it’s false. Hallucinations happen because it’s a probability machine, not a truth machine. This probably won’t be a problem forever, but for now it’s very real. Ask it questions about topics you know something about so you can discern when it’s off, or bake into the prompt, “verify with web search, cite at least two sources.” For Bible/theology, your best bet is to read your Bible daily so you have discernment; then use tools to help, not replace, your direct interaction with God’s Word. There’s a wide gap between knowing the biblical answer and having your heart changed by slow, prayerful reading of the text and the Spirit’s work. If we run to commentaries, YouTube sermons, pastors, or even study notes before we’ve observed and meditated, we’re shortcutting the Word of God. The dangers predate the internet. We’re out of time. We’ll have a follow-up teaching on AI. Submit questions to any elders or the church office if you want your question addressed in the next session. The post Equipping Hour: Biblically Thinking About AI (Part 1) appeared first on Grace Bible Church.

Ben James and Steffan Thomas discuss the Wales team to face New Zealand, as well as more off-field drama in Welsh rugby. EXCLUSIVE NordVPN Deal ➼ https://nordvpn.com/welshrugby Try it risk-free now with a 30-day money-back guarantee  Learn more about your ad choices. Visit podcastchoices.com/adchoices

10 years on from his passing, Ben James speaks to Kingsley Jones, Josh Navidi, Mark Jones, Rhys Williams and Xavier Rush about Jonah Lomu's impact on Welsh rugby. EXCLUSIVE NordVPN Deal ➼ https://nordvpn.com/welshrugby Try it risk-free now with a 30-day money-back guarantee  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ben James and Steffan Thomas discuss the Wales team to face Japan this weekend. EXCLUSIVE NordVPN Deal ➼  Try it risk-free now with a 30-day money-back guarantee  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ben James and Steffan Thomas reflect on Wales' autumn defeat to Argentina in Cardiff, as the Steve Tandy era began with a loss. EXCLUSIVE NordVPN Deal ➼  Try it risk-free now with a 30-day money-back guarantee  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ben James and Steffan Thomas sit down to discuss the Welsh Rugby Union's plans to cut from four teams to three and how that will affect Steve Tandy's first autumn in charge. EXCLUSIVE NordVPN Deal ➼  Try it risk-free now with a 30-day money-back guarantee  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Smylie Kaufman and Charlie Hulme kick off this week's episode catching up on dad life, bedtime chaos, and a wild rant about Brian Kelly's LSU exit before diving deep into the rise of sports gambling in professional golf — and whether it could ever impact the PGA Tour. Then, Smylie sits down with Mason Howell, the 18-year-old phenom who won the 2025 U.S. Amateur Championship — making him the third-youngest champion in history. Mason opens up about: • His emotional journey from small-town Georgia to golf's biggest stage • What it felt like to qualify for the U.S. Open and earn a Masters invite • Competing against top amateurs like Tommy Morrison and Ben James • The pressures of high school life after winning one of golf's biggest titles A can't-miss conversation about the next great name in golf. 00:00 Dad life updates and bedtime chaos 04:30 LSU, Brian Kelly, and college football chaos 11:15 Gambling scandals 19:10 Could golf ever face a gambling crisis? 27:10 How betting affects players and fans 31:40 Mason Howell Interview 32:00 Life after winning the U.S. Am — back to high school reality 33:40 Growing up in Thomasville and discovering golf 36:20 Qualifying for the U.S. Open at 18 years old 39:10 Competing at Oakmont and learning from the pros 43:15 The grind of the U.S. Amateur at Olympic Club 47:45 Facing Tommy Morrison and Ben James in match play 49:50 Taking down John Daly in a thriller 51:00 Securing Masters and Walker Cup spots 54:00 What's next for Mason Howell 1:12:10 Smylie's thoughts on the next wave of young golf talent 1:16:25 Comparing today's amateur game to the PGA Tour 1:20:00 Charlie's take: what makes great golfers stand out early 1:24:10 Smylie shares his Masters memories 1:29:00 Wrapping up — offseason plans and what's next on The Smylie Show

Ben James and MailOnline rugby writer Alex Bywater sit down to discuss Wales' autumn squad announcement - including the recall of Rhys Carre. EXCLUSIVE NordVPN Deal ➼ https://nordvpn.com/welshrugby Try it risk-free now with a 30-day money-back guarantee  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ben James and Steffan Thomas sit down to discuss the Scarlets' crisis, Cardiff's possible new investors and Steve Tandy's possible first Wales squad. EXCLUSIVE NordVPN Deal ➼ https://nordvpn.com/welshrugby Try it risk-free now with a 30-day money-back guarantee  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welsh Rugby Union director of rugby and elite performance Dave Reddin joins Ben James and Steffan Thomas on the latest episode following the end of the WRU's consultation process. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ben James and Steffan Thomas discuss the opening weekend of the new season, as well as the end of the WRU's consultation process Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ben James and Steffan Thomas sit down to discuss the start of the United Rugby Championship season, as well as Matt Sherratt's move from Cardiff to Wales just days before the first match of the new campaign. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ben James and Steffan Thomas discuss the latest news from the WRU's consultation into Welsh rugby, with the Dragons and WRPA having pushed back against it. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ben James and Steffan Thomas discuss the WRU's 'optimal system' that could see four professional clubs reduced to two, as well as hearing from WRU director of rugby and elite performance Dave Reddin about the plans. Learn more about your ad choices. Visit podcastchoices.com/adchoices

A thumping 3-0 win for Cardiff City over Rotherham means a very happy episode this week. Ben James and Tom Phillips are back while Ben Price takes a break and they discuss Swindon, Rotherham, transfers and rumours, and look ahead to a big week with Wimbledon and Luton to come... Hosted on Acast. See acast.com/privacy for more information.

We've probably run the Port Vale geography joke as far as it can! On this weeks episode, Alternative Wales' Ryan March joins as Ben Price is away, and Ben James returns from Burslem to discuss Cardiff City's 0-0 draw with the Valiants. The boys also discuss your tweets, the start of the season so far, and look ahead to the Carabao Cup and Rotherham. Hosted on Acast. See acast.com/privacy for more information.

Ben James was under the weather, so Ben Price takes the reins (sorry about that!) and is joined by Tom Phillips and Wales Online journalist (and friend of the pod) Glen Williams. They discuss the win over Peterborough, the meeting before the game with Mehmet Dalman, takeover talk, and what it is like to earn a living covering the mad world of Cardiff City.The original Cardiff City podcast. Talking all things Cardiff City, with news, views, opinions, and player interviews from Cardiff City fans past and present. There might also be some discussions about kebabs. Hosted on Acast. See acast.com/privacy for more information.

Ben James and Steffan Thomas discuss the classic second Test between the British and Irish Lions and Australia, including the Jac Morgan clearout in the dying seconds that continues to attract headlines. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas react to the news that Jac Morgan is in the Lions' squad for the second Test against the Wallabies, as well as the news that Steve Tandy is the new Wales coach. While in Melbourne, Ben also speaks to WRU CEO Abi Tierney. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas pick apart Wales' win over Japan in Kobe, as well as the WRU's announcement that a reduction to two or three teams will be considered. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas discuss Wales' 24-19 defeat to Japan in Kitakyushu, while Ben sits down with Wales full-back Blair Murray in Kobe ahead of the second Test. Learn more about your ad choices. Visit megaphone.fm/adchoices

In the 195th BlockTalks we speak with Ben James, founder of 404, who tells us about decentralized AI through the lenses of an architect. https://404.xyzhttp://x.com/404gen_http://x.com/6329

The Welsh Rugby Podcast is back with a bang! Ben James is out in the heat and humidity of Japan ahead of Wales' summer tour - join him as he sits down to chat with Wales centre Joe Roberts! John Jones also joins us on this weeks' show to go through the latest news and analysis in the world of Welsh rugby. Make due to sign-up to our 'Inside Welsh Rugby' newsletter, to keep up-to-date between podcast episodes. Sign-up here. Learn more about your ad choices. Visit megaphone.fm/adchoices

Nathan Smith, the U.S. Walker Cup captain, and Brad Faxon joined 5 Clubs on Golf Channel. Faxon led off the show talking about The Broadmoor, the host site of the U.S. Senior Open and how the players will need to adjust to the altitude in what Faxon thinks is the biggest event on the Champions Tour. Faxon also talked about Ernie Els, Phil Mickelson, Tiger Woods and Rory McIlroy. Smith discussed how good the new generation is with the depth at the collegiate and junior levels. He talked about Ben James, Jackson Koivin and Michael LaSasso as members of this year's team that will compete at Cypress Point.

In this kickoff episode of the AmateurGolf.com Podcast's Major Preview Series, host Brian takes you deep inside one of amateur golf's most prestigious events—the 63rd Northeast Amateur Invitational at Wannamoisett Country Club (WAHN-uh-moy-sit). With exclusive insights powered by data and AI, Brian breaks down the history, course strategy, elite field, and what it'll take to win. From defending champ Anthony Delisanti to rising stars like Ben James and Miles Russell, this preview gives you everything you need to watch—and who to watch—for one of the summer's most defining tournaments.Amateur Golf Links:AmateurGolf.comSubscribeInstagramTwitterFacebookYouTube

Ben James and Steffan Thomas reflect on the Scarlets' URC play-off defeat to Leinster, as the curtain comes down on the 2024/25 season for Wales' clubs. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas discuss the latest crisis in Welsh rugby, as well as the Scarlets' upcoming URC play-off clash with Leinster in Dublin. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week Phil is talking with Ben James - guitarist of The Heavy Souls. We discuss, surviving through thick and thin to get success in the music scene, jamming and instinctively feeling if a song is right and the joys of longer tracks on albums.  The Heavy Souls on Instagram Come and follow us on Instagram! We are at: Music Survival Guide Podcast Phil's Page Phil can be found at: www.vortissoundstudios.com Phil can be emailed at: Phil@philthemixengineer.com

Ben James and Steffan Thomas sit down to discuss the latest crisis in Welsh rugby, with the Ospreys and Scarlets having not signed the new PRA, as well as previewing the final weekend of the URC season. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and John Jones react to the British and Irish Lions squad announcement, while we hear from Jac Morgan following his call-up. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas discuss the Welsh team's hopes in South Africa, as well as this week's British and Irish Lions squad announcement. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas head to Bristol Bears' training base to speak to their head coach, Pat Lam. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas sit down to discuss the Ospreys' European exit, Judgement Day and the news that Steve Tandy is now favourite for the Wales job. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James speaks to business editor Sion Barry and CF10 chair Lynn Glaister after Cardiff were taken over by the Welsh Rugby Union. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas dissect the last weekend of United Rugby Championship, while looking ahead to the Welsh teams' chances in the Challenge Cup last 16. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ospreys head coach and former Wales wing Mark Jones sits down with Ben James to talk taking over at the Welsh region, his growth as a coach and racing Christian Malcolm. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas are joined by WRU CEO Abi Tierney to discuss where Welsh rugby goes next after Saturday's record defeat to England. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas sit down to reflect on Wales' 68-14 defeat to England and what comes next. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas preview Wales' final Six Nations clash with England. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas preview Wales' fourth Six Nations match with Scotland, while looking back on the weekend's URC action Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James is the Founder of 404, a Web3 platform revolutionizing 3D content creation by empowering users to build virtual worlds, games, and AR/VR/XR experiences without technical expertise. Leveraging decentralized technologies and advanced 3D generative models, 404 enables creators to bring their visions to life in real time, driving innovation in immersive digital content. Ben is also the CEO and Founder of Atlas, the Web2 counterpart of 404, focused on enhancing creativity in gaming and virtual world-building. A graduate of the Kenan-Flagler Business School at UNC (Magna Cum Laude) and holder of a Master's in Architecture from the University of Applied Arts in Vienna, Ben's work has been exhibited at renowned venues such as the A+D Museum in Los Angeles, the Venice Architecture Biennale, and the Storefront for Art and Architecture in New York.

Ben James is the Founder of 404, a Web3 platform revolutionizing 3D content creation by empowering users to build virtual worlds, games, and AR/VR/XR experiences without technical expertise. Leveraging decentralized technologies and advanced 3D generative models, 404 enables creators to bring their visions to life in real time, driving innovation in immersive digital content. Ben is also the CEO and Founder of Atlas, the Web2 counterpart of 404, focused on enhancing creativity in gaming and virtual world-building. A graduate of the Kenan-Flagler Business School at UNC (Magna Cum Laude) and holder of a Master's in Architecture from the University of Applied Arts in Vienna, Ben's work has been exhibited at renowned venues such as the A+D Museum in Los Angeles, the Venice Architecture Biennale, and the Storefront for Art and Architecture in New York.

Ben James and Steffan Thomas sit down to discuss Wales' much-improved performance in their defeat to Ireland. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas discuss Wales' team to face Ireland, Matt Sherratt's impact and the search for the next Wales coach. Learn more about your ad choices. Visit megaphone.fm/adchoices

One of the United States' most promising young golfers, Ben James is in his third year at the University of Virginia, where he's twice been named a first-team All-American.

Ben James and Steffan Thomas react to the breaking news that Warren Gatland has left his role of Wales coach midway through the Six Nations. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James speaks to Wales hooker Elliot Dee and Daily Mail writer Alex Bywater in Nice as Wales prepare for their Six Nations clash with Italy. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas react to Wales' team to face France in their Six Nations opener in Paris. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Daily Mail writer Alex Bywater sit down in Rome to discuss the Six Nations launch, while we hear from Warren Gatland and Jac Morgan. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ben James and Steffan Thomas return for the first podcast of 2025 as they react to Wales' Six Nations squad. Learn more about your ad choices. Visit megaphone.fm/adchoices