Podcasts about Welling

Editor's note: CuspAI raised a $100m Series A in September and is rumored to have reached a unicorn valuation. They have all-star advisors from Geoff Hinton to Yann Lecun and team of deep domain experts to tackle this next frontier in AI applications.In this episode, Max Welling traces the thread connecting quantum gravity, equivariant neural networks, diffusion models, and climate-focused materials discovery (yes, there is one!!!).We begin with a provocative framing: experiments as computation. Welling describes the idea of a “physics processing unit”—a world in which digital models and physical experiments work together, with nature itself acting as a kind of processor. It's a grounded but ambitious vision of AI for science: not replacing chemists, but accelerating them.Along the way, we discuss:* Why symmetry and equivariance matter in deep learning* The tradeoff between scale and inductive bias* The deep mathematical links between diffusion models and stochastic thermodynamics* Why materials—not software—may be the real bottleneck for AI and the energy transition* What it actually takes to build an AI-driven materials platformMax reflects on moving from curiosity-driven theoretical physics (including work with Gerard ‘t Hooft) toward impact-driven research in climate and energy. The result is a conversation about convergence: physics and machine learning, digital models and laboratory experiments, long-term ambition and incremental progress.Full Video EpisodeTimestamps* 00:00:00 – The Physics Processing Unit (PPU): Nature as the Ultimate Computer* Max introduces the idea of a Physics Processing Unit — using real-world experiments as computation.* 00:00:44 – From Quantum Gravity to AI for Materials* Brandon frames Max's career arc: VAE pioneer → equivariant GNNs → materials startup founder.* 00:01:34 – Curiosity vs Impact: How His Motivation Evolved* Max explains the shift from pure theoretical curiosity to climate-driven impact.* 00:02:43 – Why CaspAI Exists: Technology as Climate Strategy* Politics struggles; technology scales. Why materials innovation became the focus.* 00:03:39 – The Thread: Physics → Symmetry → Machine Learning* How gauge symmetry, group theory, and relativity informed equivariant neural networks.* 00:06:52 – AI for Science Is Exploding (Not Emerging)* The funding surge and why AI-for-Science feels like a new industrial era.* 00:07:53 – Why Now? The Two Catalysts Behind AI for Science* Protein folding, ML force fields, and the tipping point moment.* 00:10:12 – How Engineers Can Enter AI for Science* Practical pathways: curriculum, workshops, cross-disciplinary training.* 00:11:28 – Why Materials Matter More Than Software* The argument that everything—LLMs included—rests on materials innovation.* 00:13:02 – Materials as a Search Engine* The vision: automated exploration of chemical space like querying Google.* 01:14:48 – Inside CuspAI: The Platform Architecture* Generative models + multi-scale digital twin + experiment loop.* 00:21:17 – Automating Chemistry: Human-in-the-Loop First* Start manual → modular tools → agents → increasing autonomy.* 00:25:04 – Moonshots vs Incremental Wins* Balancing lighthouse materials with paid partnerships.* 00:26:22 – Why Breakthroughs Will Still Require Humans* Automation is vertical-specific and iterative.* 00:29:01 – What Is Equivariance (In Plain English)?* Symmetry in neural networks explained with the bottle example.* 00:30:01 – Why Not Just Use Data Augmentation?* The optimization trade-off between inductive bias and data scale.* 00:31:55 – Generative AI Meets Stochastic Thermodynamics* His upcoming book and the unification of diffusion models and physics.* 00:33:44 – When the Book Drops (ICLR?)TranscriptMax: I want to think of it as what I would call a physics processing unit, like a PPU, right? Which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known, as possible even. It's a bit hard to program because you have to do all these experiments. Those are quite bulky, it's like a very large thing you have to do. But in a way it is a computation and that's the way I want to see it. You can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in.[01:00:44:14 - 01:01:34:08]Brandon: Yeah, it's a pleasure to have Max Woehling as a guest today. Max has done so much over his career that I've been so excited about. If you're in the deep learning community, you probably know Max for his work on variational autocoders, which has literally stood the test of prime or officially stood the test of prime. If you are a scientist, you probably know him for his like, binary work on graph neural networks on equivariance. And if you're a material science, you probably know him about his new startup, CASPAI. Max has a long history doing lots of cool problems. You started in quantum gravity, which is I think very different than all of these other things you worked on. The first question for AI engineers and for scientists, what is the thread in how you think about problems? What is the thread in the type of things which excite you? And how do you decide what is the next big thing you want to work on?[01:01:34:08 - 01:02:41:13]Max: So it has actually evolved a lot. In my young days, let's breathe, I would just follow what I would find super interesting. I have kind of this sensor. I think many people have, but maybe not really sort of use very much, which is like, you get this feeling about getting very excited about some problem. Like it could be, what's inside of a black hole or what's at the boundary of the universe or what are quantum mechanics actually all about. And so I follow that basically throughout my career. But I have to say that as you get older, this changes a little bit in the sense that there's a new dimension coming to it and there's this impact. Going in two-dimensional quantum gravity, you pretty much guaranteed there's going to be no impact on what you do relative, maybe a few papers, but not in this world, this energy scale. As I get closer to retirement, which is fortunately still 10 years away or so, I do want to kind of make a positive impact in the world. And I got pretty worried about climate change.[01:02:43:15 - 01:03:19:11]Max: I think politics seems to have a hard time solving it, especially these days. And so I thought better work on it from the technology side. And that's why we started CaspAI. But there's also a lot of really interesting science problems in material science. And so it's kind of combining both the impact you can make with it as well as the interesting science. So it's sort of these two dimensions, like working on things which you feel there's like, well, there's something very deep going on here. And on the other hand, trying to build tools that can actually make a real impact in the world.[01:03:19:11 - 01:03:39:23]RJ: So the thread that when I look back, look at the different things that you worked out, some of them seem pretty connected, like the physics to equivariance and, yeah, and, uh, gravitational networks, maybe. And that seems to be somewhat related to Casp. Do you have a thread through there?[01:03:39:23 - 01:06:52:16]Max: Yeah. So physics is the thread. So having done, you know, spent a lot of time in theoretical physics, I think there is first very fundamental and exciting questions, like things that haven't actually been figured out in quantum gravity. So that is really the frontier. There's also a lot of mathematical tools that you can use, right? In, for instance, in particle physics, but also in general relativity, sort of symmetry space to play an enormously important role. And this goes all the way to gauge symmetries as well. And so applying these kinds of symmetries to, uh, machine learning was actually, you know, I thought of it as a very deep and interesting mathematical problem. I did this with Taco Cohen and Taco was the main driver behind this, went all the way from just simple, like rotational symmetries all the way to gauge symmetries on spheres and stuff like that. So, and, uh, Maurice Weiler, who's also here, um, when he was a PhD student, he was a very good student with me, you know, he wrote an entire book, which I can really recommend about the role of symmetries in AI and machine learning. So I find this a very deep and interesting problem. So more recently, so I've taken a sort of different path, which is the relationship between diffusion models and that field called stochastic thermodynamics. This is basically the thermodynamics, which is a theory of equilibrium. So but then formulated for out of equilibrium systems. And it turns out that the mathematics that we use for diffusion models, but even for reinforcement learning for Schrodinger bridges for MCMC sampling has the same mathematics as this theoretical, this physical theory of non-equilibrium systems. And that got me very excited. And actually, uh, when I taught a course in, um, Mauschenberg, uh, it is South Africa, close to Cape Town at the African Institute for Mathematical Sciences Ames. And I turned that into a book site. Two years later, the book was finished. I've sent it to the publisher. And this is about the deep relationship between free energy, diffusion models, basically generative AI and stochastic thermodynamics. So it's always some kind of, I don't know, I find physics very deep. I also think a lot about quantum mechanics and it's, it's, it's a completely weird theory that actually nobody really understands. And there's a very interesting story, which is maybe good to tell to connect sort of my PZ back to where I'm now. So I did my PZ with a Nobel Laureate, Gerard the toft. He says the most brilliant man I've ever met. He was never wrong about anything as long as I've seen him. And now he says quantum mechanics is wrong and he has a new theory of quantum mechanics. Nobody understands what he's saying, even though what he's writing down is not mathematically very complex, but he's trying to address this understandability, let's say of quantum mechanics head on. And I find it very courageous and I'm completely fascinated by it. So I'm also trying to think about, okay, can I actually understand quantum mechanics in a more mundane way? So that, you know, without all the weird multiverses and collapses and stuff like that. So the physics is always been the threat and I'm trying to apply the physics to the machine learning to build better algorithms.[01:06:52:16 - 01:07:05:15]Brandon: You are still very involved in understanding and understanding physics and the worlds. Yeah. And just like applications to machine learning or introducing no formalisms. That's really cool.[01:07:05:15 - 01:07:18:02]Max: Yes, I would say I'm not contributing much to physics, but I'm contributing to the interface between physics and science. And that's called AI for science or science or AI is kind of a super, it's actually a new discipline that's emerging.[01:07:18:02 - 01:07:18:19]Speaker 5: Yeah.[01:07:18:19 - 01:07:45:14]Max: And it's not just emerging, it's exploding, I would say. That's the better term because I know you go from investments into like in the hundreds of millions now in the billions. So there's now actually a startup by Jeff Bezos that is at 6.2 billion sheep round. Right. Insane. I guess it's the largest startup ever, I think. And that's in this field, AI for science. It tells you something that we are creating a new bubble here.[01:07:46:15 - 01:07:53:28]Brandon: So why do you think it is? What has changed that has motivated people to start working on AI for science type problems?[01:07:53:28 - 01:08:49:17]Max: So there's two reasons actually. One is that people have been applying sort of the new tools from AI to the sciences, which is quite natural. And there's of course, I think there's two big examples, protein folding is a big one. And the other one is machine learning forest fields or something called machine learning inter-atomic potentials. Both of them have been actually very successful. Both also had something to do with symmetries, which is a little cool. And sort of people in the AI sciences saw an opportunity to apply the tools that they had developed beyond advertised placement, right, or multimedia applications into something that could actually make a very positive impact in society like health, drug development, materials for the energy transition, carbon capture. These are all really cool, impactful applications.[01:08:50:19 - 01:09:42:14]Max: Despite that, the science and the kind of the is also very interesting. I would say the fact that these sort of these two fields are coming together and that we're now at the point that we can actually model these things effectively and move the needle on some of these sort of science sort of methodologies is also a very unique moment, I would say. People recognize that, okay, now we're at the cusp of something new, where it results whether the company is called after. We're at the cusp of something new. And of course that always creates a lot of energy. It's like, okay, there's something, it's like sort of virgin field. It's like nobody's green field. Nobody's been there. I can rush in and I can sort of start harvesting there, right? And I think that's also what's causing a lot of sort of enthusiasm in the fields.[01:09:42:14 - 01:10:12:18]RJ: If you're an AI engineer, basically if the people that listen to this podcast will be in the field, then you maybe don't have a strong science background. How does, but are excited. Most I would say most AI practitioners, BM engineers or scientists would consider themselves scientists and they have some background, a little bit of physics, a little bit of industry college, maybe even graduate school that have been working or are starting out. How does somebody who is not a scientist on a day-to-day basis, how do they get involved?[01:10:12:18 - 01:10:14:28]Max: Well, they can read my book once it's out.[01:10:16:07 - 01:11:05:24]Max: This is basically saying that there is more, we should create curricula that are on this interface. So I'm not sure there is, also we already have some universities actual courses you can take, maybe online courses you can take. These workshops where we are now are actually very good as well. And we should probably have more tutorials before the workshop starts. Actually we've, I've kind of proposed this at some point. It's like maybe first have an hour of a tutorial so that people can get new into the field. There's a lot out there. Most of it is of course inaccessible, but I would say we will create much more books and other contents that is more accessible, including this podcast I would say. So I think it will come. And these days you can watch videos and things. There's a huge amount of content you can go and see.[01:11:05:24 - 01:11:28:28]Brandon: So maybe a follow-up to that. How do people learn and get involved? But why should they get involved? I mean, we have a lot of people who are of our audience will be interested in AI engineering, but they may be looking for bigger impacts in the world. What opportunities does AI for science provide them to make an impact to change the world? That working in this the world of pure bits would not.[01:11:28:28 - 01:11:40:06]Max: So my view is that underlying almost everything is immaterial. So we are focusing a lot on LLMs now, which is kind of the software layer.[01:11:41:06 - 01:11:56:05]Max: I would say if you think very hard, underlying everything is immaterial. So underlying an LLM is a GPU, and underlying a GPU is a wafer on which we will have to deposit materials. Do we want to wait a little bit?[01:12:02:25 - 01:12:11:06]Max: Underlying everything is immaterial. So I was saying, you know, there's the LLM underlying the LLM is a GPU on which it runs. In order to make that GPU,[01:12:12:08 - 01:12:43:20]Max: you have to put materials down on a wafer and sort of shine on it with sort of EUV light in order to etch kind of the structures in. But that's now an actual material problem, because more or less we've reached the limits of scaling things down. And now we are trying to improve further by new materials. So that's a fundamental materials problem. We need to get through the energy transition fast if we don't want to kind of mess up this world. And so there is, for instance, batteries. That's a complete materials problem. There's fuel cells.[01:12:44:23 - 01:13:01:16]Max: There is solar panels. So that they can now make solar panels with new perovskite layers on top of the silicon layers that can capture, you know, theoretically up to 50% of the light, where now we're at, I don't know, maybe 22 or something. So these are huge changes all by material innovation.[01:13:02:21 - 01:13:47:15]Max: And yeah, I think wherever you go, you know, I can probably dig deep enough and then tell you, well, actually, the very foundation of what you're doing is a material problem. And so I think it's just very nice to work on this very, very foundation. And also because I think this is maybe also something that's happening now is we can start to search through this material space. This has never been the case, right? It's like scientists, the normal way of working is you read papers and then you come up with no hypothesis. You do an experiment and you learn, et cetera. So that's a very slow process. Now we can treat this as a search engine. Like we search the internet, we now search the space of all possible molecules, not just the ones that people have made or that they're in the universe, but all of them.[01:13:48:21 - 01:14:42:01]Max: And we can make this kind of fully automated. That's the hope, right? We can just type, it becomes a tool where you type what you want and something starts spinning and some experiments get going. And then, you know, outcome list of materials and then you look at it and say, maybe not. And then you refine your query a little bit. And you kind of do research with this search engine where a huge amount of computation and experimentation is happening, you know, somewhere far away in some lab or some data center or something like this. I find this a very, very promising view of how we can sort of build a much better sort of materials layer underneath almost everything. And also more sustainable materials. Our plastics are polluting the planet. If you come up with a plastic that kind of destroys itself, you know, after, I don't a few weeks, right? And actually becomes a fertilizer. These are things that are not impossible at all. These things can be done, right? And we should do it.[01:14:42:01 - 01:14:47:23]RJ: Can you tell us a little bit just generally about CUSBI and then I have a ton of questions.[01:14:47:23 - 01:14:48:15]Speaker 5: Yeah.[01:14:48:15 - 01:17:49:10]Max: So CUSBI started about 20 months ago and it was because I was worried about I'm still worried about climate change. And so I realized that in order to get, you know, to stay within two degrees, let's say, we would not only have to reduce our emissions to zero by 2050, but then, you know, another half century or even a century of removing carbon dioxide from the atmosphere, not by reducing your emissions, but actually removing it at a rate that's about half the rate that we now emit it. And that is a unsolved problem. But if we don't solve it, two degrees is not going to happen, right? It's going to be much more. And I don't think people quite understand how bad that can be, like four degrees, like very bad. So this technology needs to be developed. And so this was my and my co-founder, Chet Edwards, motivation to start this startup. And also because, you know, we saw the technology was ready, which is also very good. So if you're, you know, the time is right to do it. And yeah, so we now in the meanwhile, we've grown to about 40 people. We've kind of collected 130 million investment into the company, which is for a European company is quite a lot. I would say it's interesting that right after that, you know, other startups got even more. So that's kind of tells you how fast this is growing. But yeah, we are we are now at the we've built the platform, of course, but it's for a series of material classes and it needs to be constantly expanded to new material classes. And it can be more automated because, you know, we know putting LLMs in as the whole thing gets more and more automated. And now we're moving to sort of high throughput experimentation. So connecting the actual platform, which is computational, to the experiments so that you can get also get fast feedback from experiments. And I kind of think of experiments as something you do at the end, although that's what we've been doing so far. I want to think of it as what I would call a sort of a physics processing unit, like a PPU, right, which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known as possible, even. It's a bit hard to program because you have to do all these experiments. Those are quite, quite bulky. It's like a very large thing you have to do. But in a way, it is a computation. And that's the way I want to see it. So I want to you can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in. And that's the vision we have. We don't say super intelligence because I don't quite know what it means and I don't want to oversell it. But I do want to automate this process and give a very powerful tool in the hands of the chemists and the material scientists.[01:17:49:10 - 01:18:01:02]Brandon: That actually brings up a question I wanted to ask you. First of all, can you talk about your platform to like whatever degree, like explain kind of how it works and like what you your thought processes was in developing it?[01:18:01:02 - 01:20:47:22]Max: Yeah, I think it's been surprisingly, it's not rocket science, I would say. It's not rocket science in the sense of the design and basically the design that, you know, I wrote down at the very beginning. It's still more or less the design, although you add things like I wasn't thinking very much about multi-scale models and as the common are rated that actually multi-scale is very important. And the beginning, I wasn't thinking very much about self-driving labs. But now I think, you know, we are now at the stage we should be adding that. And so there is sort of bits and details that we're adding. But more or less, it's what you see in the slide decks here as well, which is there is a generative component that you have to train to generate candidates. And then there is a digital twin, multi-scale, multi-fidelity digital twin, which you walk through the steps of the ladder, you know, they do the cheap things first, you weed out everything that's obviously unuseful, and then you go to more and more expensive things later. And so you narrow things down to a small number. Those go into an experiment, you know, do the experiment, get feedback, etc. Now, things that also have been more recently added is sort of more agentic sort of parts. You know, we have agents that search the literature and come up with, you know, actually the chemical literature and come up with, you know, chemical suggestions for doing experiments. We have agents which sort of autonomously orchestrate all of the computations and the experiments that need to be done. You know, they're in various stages of maturity and they can be continuously improved, I would say. And so that's basically I don't think that part. There's rocket science, but, you know, the design of that thing is not like surprising. What is it's surprising hard to actually build it. Right. So that's that's the thing that is where the moat is in the data that you can get your hands on and the and actually building the platform. And I would say there's two people in particular I want to call out, which is Felix Hunker, who is actually, you know, building the scientific part of the platform and Sandra de Maria, who is building the sort of the skate that is kind of this the MLOps part of the platform. Yeah. And so and recently we also added sort of Aaron Walsh to our team, who is a very accomplished scientist from Imperial College. We're very happy about that. He's going to be a chief science officer. And we also have a partnerships team that sort of seeks out all the customers because I think this is one thing I find very important. In print, it's so complex to do to actually bring a material to the real world that you must do this, you know, in collaboration with sort of the domain experts, which are the companies typically. So we always we only start to invest in the direction if we find a good industrial partner to go on that journey with us.[01:20:47:22 - 01:20:55:12]Brandon: Makes a lot of sense. Over the evolution of the platform, did you find that you that human intervention, human,[01:20:56:18 - 01:21:17:01]Brandon: I guess you could start out with a pure, you could imagine two directions when you start up making everything purely automatic, automated, agentic, so on. And then later on, you like find that you need to have more human input and feedback different steps. Or maybe did you start out with having human feedback? You have lots of steps and then like kind of, yeah, figure out ways to remove, you know,[01:21:17:01 - 01:22:39:18]Max: that is the second one. So you build tools for you. So it's much more modular than you think. But it's like, we need these tools for this application. We need these tools. So you build all these tools, and then you go through a workflow actually in the beginning just manually. So you put them in a first this tool, then run this to them or this with sithery. So you put them in a workflow and then you figure out, oh, actually, you know, this this porous material that we are trying to make actually collapses if you shake it a bit. Okay, then you add a new tool that says test for stability. Right. Yeah. And so there's more and more tools. And then you build the agent, which could be a Bayesian optimizer, or it could be an actual other them, you know, maybe trained to be a good chemist that will then start to use all these tools in the right way in the right order. Yeah. Right. But in the beginning, it's like you as a chemist are putting the workflow together. And then you think about, okay, how am I going to automate this? Right. For one very easy question you can ask yourself is, you know, every time somebody who is not a super expert in DFT, yeah, and he wants to do a calculation has to go to somebody who knows DFT. And so could you start to automate that away, which is like, okay, make it so user friendly, so that you actually do the right DFT for the right problem and for the right length of time, and you can actually assess whether it's a good outcome, etc. So you start to automate smaller small pieces and bigger pieces, etc. And in the end, the whole thing is automated.[01:22:39:18 - 01:22:53:25]Brandon: So your philosophy is you want to provide a set of specific tools that make it so that the scientists making decisions are better informed and less so trying to create an automated process.[01:22:53:25 - 01:23:22:01]Max: I think it's this is sort of the same where you're saying because, yes, we want to automate, yeah, but we don't see something very soon where the chemists and the domain expert is out of the loop. Yeah, but it but it's a retreat, right? It's like, okay, so first, you need an expert to tell you precisely how to set the parameters of the DFT calculation. Okay, maybe we can take that out. We can maybe automate that, right? And so increasingly, more of these things are going to be removed.[01:23:22:01 - 01:23:22:19]Speaker 5: Yeah.[01:23:22:19 - 01:24:33:25]Max: In the end, the vision is it will be a search engine where you where somebody, a chemist will type things and we'll get candidates, but the chemist will still decide what is a good material and what is not a good material out of that list, right? And so the vision of a completely dark lab, where you can close the door and you just say, just, you know, find something interesting and then it will it will just figure out what's interesting and we'll figure out, you know, it's like, oh, I found this new material to blah, blah, blah, blah, right? That's not the vision I have. He's not for, you know, a long time. So for me, it's really empowering the domain experts that are sitting in the companies and in universities to be much faster in developing their materials. And I should say, it's also good to be a little humble at times, because it is very complicated, you know, to bring it to make it and to bring it into the real world. And there are people that are doing this for the entire lives. Yeah. Right. And it's like, I wonder if they scratch their head and say, well, you know, how are you going to completely automate that away, like in the next five years? I don't think that's going to happen at all.[01:24:35:01 - 01:24:39:24]Max: Yeah. So to me, it's an increasingly powerful tool in the hands of the chemists.[01:24:39:24 - 01:25:04:02]RJ: I have a question. You've talked before about getting people interested based on having, you know, sort of a big breakthrough in materials, incremental change. I'm curious what you think about the platform you have now in are sort of stepping towards and how are you chasing the big change or is this like incremental or is there they're not mutually exclusive, obviously, but what do you think about that?[01:25:04:02 - 01:26:04:27]Max: We follow a mixed strategy. So we are definitely going after a big material. Again, we do this with a partner. I'm not going to disclose precisely what it is, but we have our own kind of long term goal. You could call it lighthouse or, you know, sort of moonshot or whatever, but it is going to be a really impactful material that we want to develop as a proof point that it can be done and that it will make it into the into the real world and that AI was essential in actually making it happen. At the same time, we also are quite happy to work with companies that have more modest goals. Like I would say one is a very deep partnership where you go on a journey with a company and that's a long term commitment together. And the other one is like somebody says, I knew I need a force field. Can you help me train this force field and then maybe analyze this particular problem for me? And I'll pay you a bunch of money for that. And then maybe after that we'll see. And that's fine too. Right. But we prefer, you know, the deep partnerships where we can really change something for the good.[01:26:04:27 - 01:26:22:02]RJ: Yeah. And do you feel like from a platform standpoint you're ready for that or what are the things that and again, not asking you to disclose proprietary secret sauce, but what are the things generally speaking that need to happen from where we are to where to get those big breakthroughs?[01:26:22:02 - 01:28:40:01]Max: What I find interesting about this field is that every time you build something, it's actually immediately useful. Right. And so unlike quantum computing, which or nuclear fusion, so you work for 20, 30, 40 years and nothing, nothing, nothing, nothing. And then it has to happen. Right. And when it happens, it's huge. So it's quite different here because every time you introduce, so you go to a customer and you say, so what do you need? Right. So we work, let's say, on a problem like a water filtration. We want to remove PFAS from water. Right. So we do this with a company, Camira. So they are a deep partner for us. Right. So we on a journey together. I think that the breakthrough will happen with a lot of human in the loop because there is the chemists who have a whole lot more knowledge of their field and it's us who will help them with training, having a new message. And in that kind of interface, these interactions, something beautiful will happen and that will have to happen first before this field will really take off, I think. And so in the sense that it's not a bubble, let's put it that way. So that's people see that as actual real what's happening. So in the beginning, it will be very, you know, with a lot of humans in the loop, I would say, and I would I would hope we will have this new sort of breakthrough material before, you know, everything is completely automated because that will take a while. And also it is very vertical specific. So it's like completely automating something for problem A, you know, you can probably achieve it, but then you'll sort of have to start over again for problem B because, you know, your experimental setup looks very different in the machines that you characterize your materials look very different. Even the models in your platform will have to be retrained and fine tuned to the new class. So every time, you know, you have a lot of learnings to transfer, but also, you know, the problems are actually different. And so, yes, I would want that breakthrough material before it's completely automated, which I think is kind of a long term vision. And I would say every time you move to something new, you'll have to start retraining and humans will have to come in again and say, okay, so what does this problem look like? And now sort of, you know, point the the machine again, you know, in the new direction and then and then use it again.[01:28:40:01 - 01:28:47:17]RJ: For the non-scientists among us, me included a bit of a scientist. There's a lot of terminology. You mentioned DFT,[01:28:49:00 - 01:29:01:11]RJ: you equivariance we've talked about. Can you sort of explain in engineering terms or the level of sophistication and engineering? Well, how what is equivariance?[01:29:01:11 - 01:29:55:01]Max: So equivariance is the infusion of symmetry in neural networks. So if I build a neural network, let's say that needs to recognize this bottle, right, and then I rotate the bottle, it will then actually have to completely start again because it has no idea that the rotated bottle. Well, actually, the input that represents a rotated bottle is actually rotated bottle. It just doesn't understand that. Right. If you build equivariance in basically once you've trained it in one orientation, it will understand it in any other orientation. So that means you need a lot less data to train these models. And these are constraints on the weights of the model. So so basically you have to constrain the way such data to understand it. And you can build it in, you can hard code it in. And yeah, this the symmetry groups can be, you know, translations, rotations, but also permutations. I can graph neural network, their permutations and then physics, of course, as many more of these groups.[01:29:55:01 - 01:30:01:08]RJ: To pray devil's advocate, why not just use data augmentation by your bottle is in all the different orientations?[01:30:01:08 - 01:30:58:23]Max: As an option, it's just not exact. It's like, why would you go through the work of doing all that? Where you would really need an infinite number of augmentations to get it completely right. Where you can also hard code it in. Now, I have to say sometimes actually data augmentation works even better than hard coding the equivariance in. And this is something to do with the fact that if you constrain the optimization, the weights before the optimization starts, the optimization surface or objective becomes more complicated. And so it's harder to find good minima. So there is also a complicated interplay, I think, between the optimization process and these constraints you put in your network. And so, yeah, you'll hear kind of contradicting claims in this field. Like some people and for certain applications, it works just better than not doing it. And sometimes you hear other people, if you have a lot of data and you can do data augmentation, then actually it's easier to optimize them and it actually works better than putting the equivariance in.[01:30:58:23 - 01:31:07:16]Brandon: Do you think there's kind of a bitter lesson for mathematically founded models and strategies for doing deep learning?[01:31:07:16 - 01:31:46:06]Max: Yeah, ultimately it's a trade-off between data and inductive bias. So if your inductive bias is not perfectly correct, you have to be careful because you put a ceiling to what you can do. But if you know the symmetry is there, it's hard to imagine there isn't a way to actually leverage it. But yeah, so there is a bitter lesson. And one of the bitter lessons is you should always make sure your architecture is scale, unless you have a tiny data set, in which case it doesn't matter. But if you, you know, the same bitter lessons or lessons that you can draw in LLM space are eventually going to be true in this space as well, I think.[01:31:47:10 - 01:31:55:01]RJ: Can you talk a little bit about your upcoming book and tell the listeners, like, what's exciting about it? Yeah, I should read it.[01:31:55:01 - 01:33:42:20]Max: So this book is about, it's called Generative AI and Stochastic Thermodynamics. It basically lays bare the fact that the mathematics that goes into both generative AI, which is the technology to generate images and videos, and this field of non-equilibrium statistical mechanics, which are systems of molecules that are just moving around and relaxing to the ground state, or that you can control to have certain, you know, be in a certain state, the mathematics of these two is actually identical. And so that's fascinating. And in fact, what's interesting is that Jeff Hinton and Radford Neal already wrote down the variational free energy for machine learning a long time ago. And there's also Carl Friston's work on free energy principle and active entrance. But now we've related it to this very new field in physics, which is called stochastic thermodynamics or non-equilibrium thermodynamics, which has its own very interesting theorems, like fluctuation theorems, which we don't typically talk about, but we can learn a lot from. And I think it's just it can sort of now start to cross fertilize. When we see that these things are actually the same, we can, like we did for symmetries, we can now look at this new theory that's out there, developed by these very smart physicists, and say, okay, what can we take from here that will make our algorithms better? At the same time, we can use our models to now help the scientists do better science. And so it becomes a beautiful cross-fertilization between these two fields. The book is rather technical, I would say. And it takes all sorts of things that have been done as stochastic thermodynamics, and all sorts of models that have been done in the machine learning literature, and it basically equates them to each other. And I think hopefully that sense of unification will be revealing to people.[01:33:42:20 - 01:33:44:05]RJ: Wait, and when is it out?[01:33:44:05 - 01:33:56:09]Max: Well, it depends on the publisher now. But I hope in April, I'm going to give a keynote at ICLR. And it would be very nice if they have this book in my hand. But you know, it's hard to control these kind of timelines.[01:33:56:09 - 01:33:58:19]RJ: Yeah, I'm looking forward to it. Great.[01:33:58:19 - 01:33:59:25]Max: Thank you very much. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

In recognition of NAPE week in Houston, we are delighted to welcome back David Bat, President of Kimberlite Research, to explore the latest OFS activity, trends, and technologies. David brings more than 30 years of experience spanning upstream, power, and oilfield research. Prior to joining Kimberlite in 2015, he served as VP and General Manager of Constellation New Energy, President of Welling & Company, and President of Stream-Flo USA. He began his career as a geologist with Chevron. Kimberlite is an international oilfield research firm that draws on insights from more than 20,000 hours of annual interviews with industry professionals to analyze market trends and benchmark performance for oilfield equipment and service providers. We were excited to hear David's perspective and latest insights. In our conversation, we cover Kimberlite's research model, the data it captures from operators, and how the firm uses AI as an enabling tool. David shares Kimberlite's 2026 operator sentiment and activity outlook and highlights regional hot spots for expansion (including Latin America, the Middle East, Norway, and West Africa) and discusses key technologies improving recovery and efficiency, as well as the runway for further gains. We compare international versus North American market structure, noting that the “Big Four” hold roughly 80% share across much of the international/offshore oilfield services market, while North America is highly fragmented with many specialty providers. We touch on the Permian as a global incubator for innovation, the Haynesville as a proving ground for high-temperature tools, David's longer-term outlook for the Lower 48 Tier 1 runway, operator-to-operator differences in service outcomes, and supplier performance dispersion and benchmarking, with performance and fit varying by basin. We explore upstream digital transformation strategies, why domain expertise matters for applying AI, hydraulic fracturing digital dynamics, and where digital value is expected to emerge, especially in production optimization. We also cover why consolidation is viewed as desperately needed in oilfield services yet hard to execute, Canada's market dynamics, and the strong demand for qualified personnel and quality equipment in international and offshore markets. David shares his exploration outlook, potential drivers of improved recoveries, newer tech players, and Kimberlite's Net Promoter Score (NPS) work, which he says correlates strongly with future financial performance and competitive strength; fewer than 10% of the OFS companies Kimberlite tracks exhibit truly distinguishing, scalable, "elite" customer-focused characteristics. A few select slides from David's presentation are linked here. It was a wide-ranging discussion and we're grateful to David for sharing his expertise with us all. Mike Bradley kicked off the discussion by noting that the 10-year U.S. bond yield appears to have stabilized in the 4.0% to 4.10% range after plunging last week on a cooler-than-expected January CPI report. In crude markets, WTI price has been stuck over the last several weeks between $60-$65/bbl and inched a little lower to start this week (~$62/bbl) following reports that Iran and the U.S. have a “general agreement” on the basis for a potential nuclear deal, which could eventually lead to an ease in Iranian sanctions. An agreement in the next couple of weeks could lead to an additional pullback in oil prices if the oil market narrative shifts away from a modest “war premium” towards the IEA's 2026 global “oil glut” (~3.7mmbpd) narrative. On the natural gas front, he highlighted that the recent Arctic-driven winter premium for prompt gas price (~$3.00/MMBtu) and 12-month strip (~$3.50/MMBtu) have been completely u

Quintin, Tristan, Andrea, Welling, and Hayden rank the worst 25 movies of 2025. Which movies will enter the list out of War of the Worlds, Electric State, and Snow White? Find out now!

Episode Notes S7E5 -- Join us as we dive into the mind of Voice Actor Kevin Urban. He'll be in the house telling tales from Darth Vader to Avengers Academy and much much more!! Kevin Urban is an American voice actor known for his distinctive baritone and work across digital media, video games, commercials, and live event announcing. He began his career in 2013 narrating content for the YouTube channel Tats Tops Videos, where several horror themed videos he voiced reached millions of views and helped establish his early online reputation. His success led to professional crossover work in games and advertising. In 2017, he voiced Korg in Marvel: Avengers Academy during the Thor: Ragnarok expansion, as well as He Man and Thulsa Doom in Family Guy: The Quest for Stuff. He later voiced Muarim in Fire Emblem Heroes and Gator, a Crothal character, in the mobile expansion XCom Legends. In 2021, he gained wider recognition for voicing the Helix voice pack in Elite Dangerous with HCS Voice Packs. HELPFUL LINKS: VETERANS: https://www.va.gov/.../mental-health/suicide-prevention/ ADDICTION: https://lp.recoverycentersofamerica.com/.../continuum-of.../ Due you know someone that has lost their lives due to addiction? Or even someone that has made a full recovery? Reach out to Johnny Whitaker so they can help to celebrate the lives lost/ lives recovered at overdoseawareness0831@gmail.com ___________________________________________ Follow our guest http://voices-by-kevin.com/ https://www.imdb.com/name/nm9493864/ ______________________________ Toking with the Dead: https://www.stilltoking.com/ ————————————— Follow Still Toking With and their friends! https://smartpa.ge/5zv1 ————————————— Produced by Leo Pond and The Dorkening Podcast Network MORE ABOUT THE GUEST: Beyond character work, Urban has voiced commercial projects including an IBM advertisement and, in 2024, reached a new milestone as the opening Voice of God tour announcer for AJR's The Maybe Man Tour, appearing at major venues such as Madison Square Garden and TD Garden. In 2025, he voiced Welling in Kennedy Phillips' audio drama series Klutch! A Kobld Story. Kevin Urban is represented by DDO Artists Agency in New York.

On this Monday edition of 5 Clubs, Gary Williams reviews key developments from the weekend in golf, highlighted by the performances of Chris Gotterup and Patrick Reed.Golf course designer and World Curling President Beau Welling joins 5 Clubs with Gary from Italy to discuss his wide ranging career, current projects with TGR Design, and the evolution of modern golf architecture. Welling shares insight into how data, playability, and course design can challenge elite players while remaining accessible for golfers of all skill levels, along with a look at the growing demand for golf worldwide.Luke Clanton then joins the show to talk about his fast rise from elite amateur golf to earning his PGA TOUR card through PGA TOUR U. Clanton breaks down what it felt like playing under the spotlight at the WM Phoenix Open, why pressure is something he embraces, and how he's adjusting to life on tour from training and adding weight, to staying grounded with perspective from his family.They also discuss Clanton's comfort in a TV driven environment like TGL, what he's learning from being around the game's best, including Rory McIlroy and Scottie Scheffler, and how he keeps his routine and mindset consistent as expectations grow.The episode also looks at Patrick Reed's early season success overseas, his wins on the DP World Tour, and what that momentum could mean moving forward as he continues to compete internationally and in major championships.0:00 Opening Thoughts2:59 Recap of Weekend Winners14:00 Beau Welling27:50 Luke Clanton42:59 Patrick Reed wins in Qatar

This is Part Two of Two of ‘The Beast of Belvedere' by Murder Mile UK True Crime.From April 1983 to July 1984, a series of sadistic sex attacks were perpetrated on women and young girls on trains or near train stations on three routes from Central London to the South-East of England and Kent, they were the Bexleyheath Line, the North Kent Line and the Dartford Loop. This prolific serial rapist never disguised his face, he attacked in broad daylight, and he stuck to the areas he knew so well. But who was he?Locations: The Dartford Loop began at Charing Cross, Waterloo East or London Bridge, and called at Hither Green, Lee, Mottingham, New Eltham, Sidcup, Albany Park, Bexley and Crayford. The Bexleyheath Line called at Lewisham, Blackheath, Kidbrooke, Eltham, Falconwood, Welling, Bexleyheath and Barnehurst. The North Kent at Lewisham, Blackheath, Charlton, Woolwich, Arsenal, Abbey Wood, Belvedere, Erith and Slade Green. As well as Birch Walk in Erith, Dartford station, Bursted Wood, Lesnes Abbey Woods, etcDate: April 1983 to July 1984Victims: unnamedCulprit: ? Five time nominated at the True Crime Awards, Independent Podcast Awards and the British Podcast Awards, Murder Mile is one of the best UK / British true crime podcasts covering only 20 square miles of West London. It is researched, written and performed by Michael of Murder Mile UK True Crime Podcast with the main musical themes written and performed by Erik Stein and Jon Boux of Cult With No Name and additional music, as used under the Creative Commons License 4.0. A full listing of tracks used and a full transcript for each episode is listed here and a legal disclaimer.Follow me on SOCIAL MEDIA · Instagram· FaceBook· ThreadsSUBSCRIBE via PatreonSupport this show http://supporter.acast.com/murdermile. Hosted on Acast. See acast.com/privacy for more information.

Quintin, Tristan, Andrea, Welling, and Hayden rank the best 25 movies of 2025. Which movies will enter the list out of Sinners, Superman, and Sentimental Value? Find out now!

This is Part One of Two of ‘The Beast of Belvedere' by Murder Mile UK True Crime.From April 1983 to July 1984, a series of sadistic sex attacks were perpetrated on women and young girls on trains or near train stations on three routes from Central London to the South-East of England and Kent, they were the Bexleyheath Line, the North Kent Line and the Dartford Loop. This prolific serial rapist never disguised his face, he attacked in broad daylight, and he stuck to the areas he knew so well. But who was he?Locations: Train on The Dartford Loop starting at Charing Cross, Waterloo East or London Bridge, and called at Hither Green, Lee, Mottingham, New Eltham, Sidcup, Albany Park, Bexley and Crayford. The Bexleyheath Line called at Lewisham, Blackheath, Kidbrooke, Eltham, Falconwood, Welling, Bexleyheath and Barnehurst. The North Kent at Lewisham, Blackheath, Charlton, Woolwich, Arsenal, Abbey Wood, Belvedere, Erith and Slade Green. As well as Birch Walk in Erith, Dartford station, Bursted Wood, Lesnes Abbey Woods, etcDate: April 1983 to July 1984Victims:unnamedCulprit: ? Five time nominated at the True Crime Awards, Independent Podcast Awards and the British Podcast Awards, Murder Mile is one of the best UK / British true crime podcasts covering only 20 square miles of West London. It is researched, written and performed by Michael of Murder Mile UK True Crime Podcast with the main musical themes written and performed by Erik Stein and Jon Boux of Cult With No Name and additional music, as used under the Creative Commons License 4.0. A full listing of tracks used and a full transcript for each episode is listed here and a legal disclaimer.Follow me on SOCIAL MEDIA · Instagram· FaceBook· Threads SUBSCRIBE via PatreonSupport this show http://supporter.acast.com/murdermile. Hosted on Acast. See acast.com/privacy for more information.

Kevin Martin and Jungle Jim Jerome are joined by the President of World Curling, Beau Welling. The guys talk about the recent rule changes, new handles, and everything about the Olympics!Subscribe to Inside Curling on YouTube to get all the interviews, clips and more. Subscribing on YouTube is the best way to show your support for Inside Curling and help the show grow, and it's free!https://www.youtube.com/@InsideCurlingYou can follow Inside Curling on your favorite social channels:Twitter: https://x.com/CurlingInsideInstagram: https://www.instagram.com/insidecurlingpodcast/?hl=enFacebook: https://www.facebook.com/InsideCurling/TikTok: https://www.tiktok.com/@insidecurlingInside Curling is hosted by Kevin Martin and Jungle Jim JeromeProduced, edited and mixed by Mike Rogerson.Recorded by Mason Rogerson. Hosted on Acast. See acast.com/privacy for more information.

Dillon Hunter & Carter Welling 1-17 by Phil Kornblut, Chris Burgin, and Josh Cohen

Two relatively new managers join us this week to reflect on their starts to lives at their new clubs. Ramsgate boss Lee Martin looks back at his ill-fated spell at Welling and the lessons he learned from it, discusses the step up to the Isthmian Premier for the Rams and his squad overhaul as he looks to lead the club up the table.And it's six wins from seven for Craig Stone since his appointment at Ashford United - he discusses the dramatic comeback win over AFC Croydon, how he's helped to spark the club into life and the potential and togetherness at the club.There's all the rest of the news from across the county and the usual chat and nonsense, including weekends away, fomo, James Nesbitt's hair and more besides... Hosted on Acast. See acast.com/privacy for more information.

Nick Davidson & Carter Welling 1-11 by Phil Kornblut, Chris Burgin, and Josh Cohen

Quintin, Tristan, and Welling have to ensemble eight traps to protect their houses from the Wet Bandits this holiday season. Who will build the strongest traps? Find out now!

Quintin, Welling, and Michael rank the twelve best George Clooney movies in honour of Jay Kelly releasing this month. Will Ocean's Eleven, Michael Clayton, or From Dusk Till Dawn enter the list? Find out now!

Singer, songwriter, guitar player who is wrapping up a very busy year being out on the road, having performed in 2025 in 23 states, plus Mexico and Belize. Along the way she released a new single, back in July, and now she is making an album from 2020 available in vinyl format. Last year she was the Americana / Folk / Female Vocalist of the Year at the Josie Awards, which came two months after releasing a ten-song album. Her top five songs on Spotify alone are approaching a combined total of 135 thousand streams.

Beau Welling of Beau Welling Design joins the Break80 Podcast to discuss some of his upcoming projects including a new golf club in Texas, the expansion of the TGL green and additional hole designs and golf architecture and design. Subscribe to the Break80 Podcast on Apple & Spotify for weekly golf content. Learn more about your ad choices. Visit megaphone.fm/adchoices

Water week! I mean, literally, in that sense, sadly, but we still have a packed show for you, with two top interviews. Dover keeper Mitch Walker discusses their form after a third win in a row which takes them above their points tally from the last time they were in National League South and he chats about the feelgood factor and being the oldest player in the side. And, with thanks to Radio Wings and Nigel Jones, we have an in-depth chat with new Welling boss Ryan Maxwell, who discusses the challenges both on and off the pitch at Park View Road following his first win at the helm at the weekend.There's all the rest of the news from across the county, including a look ahead to this weekend's FA Vase clashes and a top of the table barnstormer in the SCEFL, and all the usual chat and nonsense, including the lack of water, more Matt stalking and takeaway plans. Hosted on Acast. See acast.com/privacy for more information.

In honour of Wicked For Good; Quintin, Andrea, and Welling rank the fifteen greatest witch films of all time. Which films out of Wizard of Oz, Blair Witch Project, or Weapons will enter the list? Find out now!

Det sker ikke så tit, at taberen af et valg er mere kendt end vinderen. Men de fleste i Danmark kender nok navnet på hende, der som den første socialdemokrat i hundrede år lige har tabt kampen om den vigtigste borgmesterpost i hele landet. Overborgmesterposten i København. Pernille Rosenkrantz Theil er tidligere minister. En slagfærdig debattør, som i den grad har fyldt i offentligheden. Men de færreste ville nok for tre uger siden have genkendt Københavns nye overborgmester Sisse Marie Welling, hvis de havde mødt hende i metroen. Alligevel fik hun flere personlige stemmer end både Pernille Rosenkrantz Theil og Enhedslistens Line Barfoed – selv om Enhedslisten blev det største parti. Hvordan tog Welling magten? Hvad vil hun med København? Og hvad er hun for en? Som politiker og som person. En tidlig morgen hundrede dage før kommunalvalget tog Politikens Ida Nathan hjem til en dengang lidt overset københavnsk borgmester for at følge hende gennem dagen og finde nogle svar. Ida Nathan er gæst i dagens ’Du lytter til Politiken’.See omnystudio.com/listener for privacy information.

De tre røde overborgmesterkandidater i København er under beskydning af hver deres personangreb: SF's Sisse Marie Welling for at svigte ældre på plejehjemmene, Socialdemokratiets Pernille Rosenkrantz-Theil for at have været for Jeppe Kofod-venlig og Enhedslistens Line Barfod for at have været for marxistisk anlagt tilbage i 1980'erne. Og selv om de alle tre får svaret godt for sig, virker personangrebene – især det mod Welling. Vi taler også om forfatter Johanne Mygind, som i ”et godstog af en pr-kampagne” har beskyldt sin anmelderroste forfatterkollega Kim Blæsbjerg for at snuppe hendes familiehistorie, da de to havde en affære. Spektakulært og velturneret – men fordi han får svaret godt igen, ender hun efter Asbjørn Haugstrups mening med at stå ”noget afpillet” tilbage. Eksperter: Anna Rørbæk, selvstændig rådgiver, og Asbjørn Haugstrup, Innargi Vært og redaktør: Marie Nyhus Lyd og teknik: Rakkerpak Productions Klip og lydmix:  René Slott Musik: Christian Schødts-Sørensen  

Quintin has three teams of four battle it out for the championship belt of Movie Trivia glory. Will Sush's team of Jack, Trex, and Blake keep the title? Will Tristan's team of Hayden, Nick, and Sam reclaim the victory after losing the belt last year? Or will Welling's team of Andrea, Michael, and Isaac earn the victory after getting second place two years in a row? Find out now in the biggest podcast PopTopic has ever released. 12 people on one call, five gruelling trivia rounds, and over three hours!

Quintin, Tristan, Andrea, and Welling rank the top twelve greatest home invasion films of all time. Will The Strangers, Home Alone, or The Purge enter the list? Find out now.

Olympic Gold Medalist and World Curling Hall of Famer, Kevin Martin and Jungle Jim Jerome sit down with President of World Curling, Beau Welling. They discuss all the major changes and announcements from world curling this week.Please Subscribe to Inside Curling on YouTube, it's the best way to support the show:https://www.youtube.com/@InsideCurlingYou can follow Inside Curling on your favorite social channels:Twitter: https://x.com/CurlingInsideInstagram: https://www.instagram.com/insidecurlingpodcast/?hl=enFacebook: https://www.facebook.com/InsideCurling/TikTok: https://www.tiktok.com/@insidecurlingInside Curling is hosted by Kevin Martin and Jungle Jim JeromeProduced, edited and mixed by Mike Rogerson. Hosted on Acast. See acast.com/privacy for more information.

Quintin, Andrea, Welling, and Jack rank the top 12 greatest football movies of all time in honour of Him, a football movie nobody watched. Which movies out of Remember the Titans, Friday Night Lights, and 80 for Brady will make the list? Find out now.

This month we had a fascinating conversation with Bart Welling, whose presentation at the ASLE Conference this last summer was caught by Lindsay! Bart's research was informed by his own road trip around the country, a month-long, 12,000-mile trip. This chat was particularly special as Bart is still completing his book project, and we aim to have more episodes in the future with more research-in-progress!   Bart walked us through his new book project, "Resisting Energy: The Long Struggle Against Irresponsible Power," that looks at the modern debates over fossil fuels and energy, arguing we need to rethink energy (including "clean" energy) with the laborers who are often treated as dispensable.     For more of Bart Welling:   Email: bhwellin@unf.edu   ASLE EcoCast: If you have an idea for an episode, please submit your proposal here: https://forms.gle/Y1S1eP9yXxcNkgWHA   Twitter: @ASLE_EcoCast Lindsay Jolivette: @lin_jolivette Alex Tischer: @ak_tischer   If you're enjoying the show, please consider subscribing, sharing, and writing reviews on your favorite podcast platform(s)!   Episode recorded September 26nd, 2025 CC BY-NC-ND 4.0

Quintin, Andrea, Welling, and Jack rank the top 15 movies released in the year 2015. Which movies will enter the list out of Mad Max Fury Road, Inside Out, and Ex Machina? Find out now!

Or A Cast of Squirrels and OttersJoin us as we journey through Superman's live-action legacy — from Kirk Alyn to David Corenswet!How comics, animation, and radio shaped (or failed to shape) his on-screen portrayalsWhy audiences embraced some Supermen and rejected others, and the socioeconomic forces at playThe impact of evolving technology on bringing the Last Son of Krypton to lifeWhy Superman always shines brightest in the darkest of timesListener stories: Who was your first Superman?...and yes, we also talk about Dean Cain being a dick.Join Our Riotous DC Debauch!Site: https://dconscreen.comStore: https://bit.ly/DCoStorePatreon: https://patreon.com/dconscreenApple: http://bit.ly/DCoSReviewSpotify: http://bit.ly/DCSCREENSpreaker: https://bit.ly/DCoSSpreakerSubscribe to David C. Roberson's Substack

In this episode, I sit down with the amazing Tara Welling — a former professional runner who raced for Nike and Skechers — to hear her powerful story of grit, growth, and finding joy again in the sport she loves.Tara takes us back to her first miles in elementary school, through her rise to the professional circuit, and into the realities most people never see — the burnout, the pressure, and the struggles with body image that came with competing at the highest level. She shares how stepping away from the sport allowed her to rebuild a healthier relationship with running, one rooted in balance, joy, and self-respect.We also talk about what it's like to run during pregnancy, the transition into motherhood, and how she's now pouring her experience into coaching. Through her work with RunDoyen, Tara helps runners of all abilities tap into personalized training, the right mindset, and the power of community support.This conversation will remind you that running is not just about chasing times — it's about chasing what lights you up inside. Whether you're chasing a PR or simply trying to fall in love with running again, Tara's story will leave you inspired to run your own race.Tara Welling is a former professional runner for Nike and Skechers, a 2x National Champion in the Half Marathon and 15k, and a 4x U.S. Olympic Trials Qualifier (2012 – 10k & 5k track, 2016 – 10k & 5k track, 2020 – marathon, 2024 – marathon).Now a coach with RunDoyen and a mom of two, Tara combines her elite-level experience with a personalized, supportive approach to help runners of all levels reach their goals — whether that's chasing a PR, building consistency, or finding joy in the process.If you want to connect with her, you can find her at the links below!tara.erdmann11@gmail.comhttps://www.rundoyen.com/https://www.instagram.com/tara_welling/00:21 Tara's Early Running Journey02:41 Choosing Running Over Soccer05:54 College Running Experience07:11 Body Image and Nutrition in Running12:20 Training and Motherhood19:16 Professional Running Career22:02 Burnout and Rediscovering Joy in Running26:23 Training with Sketchers28:57 Finding Joy in Running29:44 Running During Pregnancy33:23 Balancing Motherhood and Running33:42 Olympic Trials Experience40:34 Coaching Philosophy and Approach43:41 Personalized Training PlansJoin the Real Life Runners Team today! https://www.realliferunners.com/teamJoin the Team! --> https://www.realliferunners.com/team Thanks for Listening!!Be sure to hit FOLLOW on Apple Podcasts, Spotify, or your favorite podcast player Leave a review on Apple Podcasts. Your ratings and reviews really help and we read each one! Come find us on Instagram and say hi! Don't forget: The information on this website is not intended to treat or diagnose any medical condition or to provide medical advice. It is intended for general education in the areas of health and wellness. All information contained in this site is intended to be educational in nature. Nothing should be considered medical advice for your specific situation.

In this episode of the Real Estate Pros Show, host Erika interviews Paul Moore, founder of Welling's Capital. Paul shares his journey from a staffing company to becoming a successful real estate investor, emphasizing the importance of learning from mistakes and seeking recession-resistant assets. He discusses the strategies behind Welling's Capital, including finding hidden value in underperforming properties and the significance of great operators in real estate investments. The conversation also touches on networking, building relationships, and future goals for Welling's Capital. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true ‘white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a “mini-mastermind” with Mike and his private clients on an upcoming “Retreat”, either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas “Big H Ranch”? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Welling discusses the philosophy behind Mercer's aggressive acquisition strategy, which has increased assets under management by seven-fold since he joined the company in 2017. Host: Greg Bartalos. Learn more about your ad choices. Visit megaphone.fm/adchoices

Quintin, Tristan, Andrea, and Welling rank the top 12 movies with a villain protagonist in honour of Bad Guys 2 releasing in theatres. Which movies will make the list out of American Psycho, The Shining, and A Clockwork Orange? Find out now.

In this episode of Intermittent Fasting Stories, Gin talks to Alyssa Welling from West Des Moines, IA.Gin has a new YouTube Channel! Visit https://www.youtube.com/channel/UC_frGNiTEoJ88rZOwvuG2CA and subscribe today so you never miss an intermittent fasting tip, a support session, or an interview with a past IF Stories guest or expert.Are you ready to take your intermittent fasting lifestyle to the next level? There's nothing better than community to help with that. In the Delay, Don't Deny community we all embrace the clean fast, and there's just the right support for you as you live your intermittent fasting lifestyle. You can connect directly with Gin in the Ask Gin group, and she will answer all of your questions personally. If you're new to intermittent fasting or recommitting to the IF lifestyle, join the 28-Day FAST Start group. After your fast start, join us for support in The 1st Year group. Need tips for long term maintenance? We have a place for that! There are many more useful spaces beyond these, and you can interact in as many as you like. Visit ginstephens.com/community to join us. An annual membership costs just over a dollar a week when you do the math. If you aren't ready to fully commit for a year, join for a month and you can cancel at any time. If you know you'll want to stay forever, we also have a lifetime membership option available. IF is free. You don't need to join our community to fast. But if you're looking for support from a community of like-minded IFers, we are here for you at ginstephens.com/community. Alyssa is an administrative assistant for the parks and recreation department. Alyssa explains how she initially dismissed IF as “unhealthy” when someone first mentioned it to her, but grew curious after plateauing on Weight Watchers following two close pregnancies. She recounts how, beginning in early 2020, she dove into fasting podcasts and adopted a gentle 16:8 approach, gradually shortening her eating window as her comfort and understanding grew. Alyssa describes how immersing herself in fasting resources helped her unlearn pervasive diet culture messages like the need for constant meals and snacks.The conversation delves into Alyssa's challenges and milestones, from her significant weight fluctuations due to multiple pregnancies and postpartum experiences, to the setbacks she faced after a bout of Covid that caused her to regain some of the weight she had lost. Then, Alyssa became pregnant with her third child, which meant she needed to take a break from IF. After her third baby was weaned, Alyssa went back to IF, but she didn't see the weight loss she was hoping for. Despite that, she never abandoned IF, citing the mental clarity and stress reduction it provided as reasons to stick with the lifestyle regardless of the scale.A pivotal point in Alyssa's journey came when she confronted the reality that her eating habits—particularly mindless binging and snacking during her eating window—were undermining her progress. Diagnosed with ADHD and binge eating disorder, she used calorie tracking for awareness and shifted her focus to intentional, satisfying meals, and avoided grazing and finishing her children's leftovers. Alyssa added regular, enjoyable treadmill walks to her routine and cut out alcohol, which improved her food choices and boosted her well-being. These changes, paired with intermittent fasting, helped her shed over 100 pounds, reaching a weight lower than she dreamt possible, and transforming both her confidence and quality of life.Alyssa wraps up by offering heartfelt advice for those starting out with intermittent fasting: don't expect drastic changes overnight and avoid focusing on a specific finish line. She emphasizes that lasting success comes from treating IF as a sustainable lifestyle, allowing ample time to adapt, maintaining a clean fast, making foods work for your body, and not being afraid to make adjustments if progress slows. Alyssa also encourages listeners to be open about fasting without shame and to remember that growing bodies—like those of children—need to eat differently. Ultimately, she underscores that giving yourself the grace to adjust and the patience to persevere are the keys to enjoying the many benefits IF has to offer.Get Gin's books at: https://www.ginstephens.com/get-the-books.html. Good news! The second edition of Delay, Don't Deny is now available in ebook, paperback, hardback, and audiobook. This is the book that you'll want to start with or share with others, as it is a simple introduction to IF. It's been updated to include the clean fast, an easier to understand and more thorough description of ADF and all of your ADF options, and an all new success stories section. When shopping, make sure to get the second edition, which has a 2024 publication date. The audiobook for the second edition is available now! Join Gin's community! Go to: ginstephens.com/communityDo you enjoy Intermittent Fasting Stories? You'll probably also like Gin's other podcast with cohost Sheri Bullock: Fast. Feast. Repeat. Intermittent Fasting for Life. Find it wherever you listen to podcasts. Share your intermittent fasting stories with Gin: gin@intermittentfastingstories.comVisit Gin's website at: ginstephens.com Check out Gin's Favorite Things at http://www.ginstephens.com/gins-favorite-things.htmlSubscribe to Gin's YouTube Channel! https://www.youtube.com/channel/UC_frGNiTEoJ88rZOwvuG2CASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Biff and Al travel to Greenville to sit down with Beau Welling. We hear about golf course design and his involvement with the USA and World Curling. scgolf.org

DC Theatrical Films - Part Three   Quintin, Tristan, Hayden, and Welling rank every single theatrically released DC movie in three episodes leading up to the new James Gunn Superman film. In the final part, they rank the best 16 movies. Where will The Dark Knight, V for Vendetta, and Superman fall on the list?

Episode 100: This week, Kyle Van Pelt talks with Dave Welling, CEO of Mercer Advisors.  With 25 years of experience in wealth management, Dave has an extensive track record of serving clients and helping businesses and people define and achieve the next level of success.  Together, Kyle and Dave unpack the human side of Mercer's incredible growth story, reflecting on how the firm's partnerships have fueled its scale and shaped its culture. From his unlikely entry into the RIA space to overseeing 95+ acquisitions since 2017, Dave shares insights on staying purpose-driven, maintaining empathy, and choosing growth as an integral part of an organization's DNA. In this episode: (00:00) - Intro (01:31) - The journey to Mercer's 100 partnerships (03:17) - Dave's money moment (06:45) - How Dave's past experiences have influenced his present career (11:05) - Why firms choose to partner with Mercer Advisors (14:45) - Mercer Advisors' organic growth strategies (17:11) - Talent attraction and growth as part of Mercer's DNA (19:13) - The continuous journey of improvement (23:51) - Leveraging technology experience on the RIA side (27:49) - The best time to invest in technology solutions (31:06) - The lessons Dave learned from working with Charles Schwab (34:28) - Dave's thoughts about the future of Mercer Advisors (37:34) - The role of AI in orchestrating workflows in the organization (39:36) - Dave's Milemarker Minute Key Takeaways Don't view growth as merely an outcome but rather as an integral part of your organization's DNA. Foster an environment that encourages individuals to learn, take on new responsibilities, and improve continuously. When pursuing mergers or acquisitions, focus on integrating new teams into the existing structure rather than simply aggregating entities. The goal should be to enhance capabilities, improve client experiences, and create synergistic opportunities for all involved. Before a transaction, engage in deep conversations with potential partners to understand their current challenges, unfulfilled opportunities, and aspirations. Help them determine if a partnership genuinely aligns with their long-term goals and will lead to a better future for their clients and team. View technology as an enabler for scaling your operations and ensuring consistent service delivery. Before implementing new tech, standardize your core processes. Then, invest in platforms that not only support current operations but also allow for significant future growth. Quotes "Growth is part of our DNA. Growth is part of our culture. And the people that thrive here are interested in growing in some way." ~ Dave Welling "The healthiest thing you can do for talented individuals of any age, at any stage of their careers, is provide an environment of growth so people can carve a path and jump into that next opportunity." ~ Dave Welling "Growth isn't just adding assets, adding clients, and getting a bigger AUM number. Growth is just progress." ~ Dave Welling Links  Dave Welling on LinkedIn Mercer Advisors Nitrogen Charles Schwab Black Diamond Wealth Platform Paragon Wealth Strategies The 5 Types of Wealth Connect with our hosts Milemarker.co Kyle on LinkedIn Jud on LinkedIn Subscribe and stay in touch Apple Podcasts Spotify YouTube Dave Welling is the Chief Executive Officer at Mercer Advisors. All expressions of opinion reflect the judgment of the author as of the date of publication and are subject to change. Mercer Global Advisors Inc. is registered with the Securities and Exchange Commission and delivers all investment-related services. Mercer Advisors Inc. is a parent company of Mercer Global Advisors Inc. and is not involved with investment services.

In honour of F1 releasing in theatres; Quintin, Welling, and Jack rank the best 12 Brad Pitt films of all time. What films out of Se7en, Inglorious Bastards, and Bullet Train will enter the list? Find out now.

DC Theatrical Films - Part Two Quintin, Tristan, Hayden, and Welling rank every single theatrically released DC movie in three episodes leading up to the new James Gunn Superman film. In the first part, they rank the worst 16 movies. Will the four of them put films like Catwoman, The Flash, and Batman v Superman on the list? Find out now!

DC Theatrical Films - Part One   Quintin, Tristan, Hayden, and Welling rank every single theatrically released DC movie in three episodes leading up to the new James Gunn Superman film. In the first part, they rank the worst 16 movies. Will the four of them put films like Catwoman, The Flash, and Batman v Superman on the list? Find out now!

Josh Welling is a MTB creator who runs the channel Chicken Sendies. Instagram here: https://www.instagram.com/chicken.sendies/Support for the Segment Podcast are brought to you by:THE SEGMENT / DISCOUNT CODES / SUPPORTERSYT Industrieshttps://us.yt-industries.com/Etnies MTB Shoes: Promocode TheSegment30https://etnies.com/collections/bike-mtb Versus Tires: www.versustires.comTASCO MTB Apparel 15% offhttps://tasco-mtb-2.kckb.st/3bb12b05Promo Code: SEGMENT24 Spy Optic: https://www.spyoptic.com/Promo code SEGMENT20  20% off your purchaseKapu CoffeePurchase "The Sender" here: https://kapucoffee.com/pages/segment25% of the proceeds help the charity "Making Spirits Bright" which helps get kids outside and on bikes.https://msbfoundation.org/Kali Protectiveshttps://kaliprotectives.com/collections/full-face/products/dh-invader?variant=41188142481502Promo Code Segment25Mother Earth Brew Company: https://www.motherearthbrewco.com/PelliBikeCare: https://www.pellibikecare.com/Strong Coffee: 15% off https://strongcoffeecompany.com/?ref=Segment30Or use promo code SEGMENT15 at checkout. To become a Podcaster for Free try this link:   https://streamyard.com/pal/c/4674191405613056PHAT Lids: https://www.phatlids.com/Use promo code SEGMENT to get 10% off at checkout. Reads for Podcast: YT Industries was founded by Markus Flossmann in 2008 YT stands for Young Talent and reflects its founder's approach to life: No matter the age, it is never too late to explore your hidden talent or passion and to try something new. YT bikes are distinguished by high quality for an exceptional price.  Head to yt-industries.com to find your Young Talent, and Live Uncaged."Mother Earth has been producing award-winning beers since 2010. Check out their beer finder at findmotherearthbrewing.com or visit one of their tap rooms in Socal and Idaho. Pelli Made and headquartered in Boulder, Colorado, PELLI specializes in advanced bike cleaning and protection.  PELLI line has been designed to clean, protect, and maintain bikes with formulas purpose-built for bikes – no more soapy water in a fancy bottle.  With the industry's first RideRepel graphene protection for bikes, PELLI allows anyone to make bike maintenance faster, easier, and safer so you can CLEAN LESS, RIDE MORE.  VERSUS  TIRES Join the stoke. With the accordian walls that conform to the surface to give you ultimate grip while getting styling you out by offering colors to your ride.   TASCO- Get on board with the TASCO stoke.  MTB apparel made by riders for riders.  ETNIES- Built by skateboarding in 1986 and still leads the way in action sports and now including MTB.  Strong Coffee: Welcome to STRONG Coffee, a brand built for those who strive to reach their natural greatness. It's not just a coffee; it's a movement. S.T.R.O.N.G. stands for Striving To Reach Our Natural Greatness, and that's what we're all about.We understand the power of coffee and the drive to get things done. That's why we've crafted the world's premier on-the-go coffee drink mix, a game-changer in the coffee and supplement arena. STRONG Coffee delivers a specialty coffee experience in a healthy, ready-to-use powder. Packed with instant organic coffee, grass-fed collagen protein, and MCT oil powder, it fuels your mind and body, letting you channel your energy into what truly matters.No brewing. No blending. No BS.Embrace the STRONG lifestyle and fuel your potential. Get ready to sip, savor, and conquer. Elevate your coffee experience with Strong Coffee – where greatness meets your mug. Act now and optimize your daily ritual!

Quintin, Andrea, Hayden, and Welling rank the greatest movies from the year 2000. Which films will enter the list out of Gladiator, Castaway, and American Psycho? Find out now.

Quintin, Tristan, Andrea, and Welling rank the twelve best movies directors made after winning Best Director at the Academy Awards. Which movies will they pick between Roma, Avatar, and Apocalypse Now? Find out now!

Why does nobody talk about this episode!? We have a blast revisiting this Season 6 sleeper in Episode 12: LABYRINTH! After showering Welling with love for one of his most dynamic performances in the series we talk about big Martian Manhunter realizations, Lex's green screen legless reveal, and the idea of Clark being full vulnerable throughout this episode… And we talk to Al Gough :) Thank you to our sponsors: ❤️ Betterhelp: https://betterhelp.com/talkville

In honour of the new Minecraft movie releasing this week; Quintin, Tristan, Hayden, and Welling rank the worst movies to be based on video games. Which movies will make the list between Five Nights at Freddie's, the original Mario Bros Movie, and Borderlands?

Things are heating up in Season 6 this week as we explore WWE cameos and new character introductions in Episode 8: STATIC! Always a blast when Welling is in studio, and this week did not disappoint… The guys discuss the improv of Bautista lifting Tom over his shoulders, the morality of Lex's static stab, and behind the scenes techniques to keep intensity during scenes where characters are not seen or heard from. Oh yeah, and a whole lot of Bautista love this week!!! Thank you to our sponsors: ❤️ Betterhelp: https://betterhelp.com/talkville

To get live links to the music we play and resources we offer, visit www.WOSPodcast.comThis show includes the following songs:Carrie Welling - Goodbye You FOLLOW ON SPOTIFYBecky Boyland - Waiting for Wisdom FOLLOW ON SPOTIFYReghan Cutler - Swear Jar FOLLOW ON SPOTIFYAnya Cantor - Haunted Heart FOLLOW ON SPOTIFYCELIA - Breathe FOLLOW ON SPOTIFYManinder Murfin - Wonder How We Wandered FOLLOW ON SPOTIFYDuxius - Real Us FOLLOW ON SPOTIFYLynn Johnson - Bobby FOLLOW ON APPLE MUSICCapas x Rachael Medhurst - Awoken FOLLOW ON SPOTIFYFour Cold Walls - Born Again - Angel Mix FOLLOW ON SPOTIFYFor Music Biz Resources Visit www.FEMusician.com and www.ProfitableMusician.comVisit our Sponsor Sara Diana at saradiana.com Visit our Sponsor Michelle Wilson at moldtheheart.com/good-newsVisit our Sponsor Track Stage at https://profitablemusician.com/trackstageVisit our Sponsor Kick Bookkeeping at http://profitablemusician.com/kickVisit www.wosradio.com for more details and to submit music to our review board for consideration.Visit our resources for Indie Artists: https://www.wosradio.com/resourcesBecome more Profitable in just 3 minutes per day. http://profitablemusician.com/join

Paris Marx is joined by Taylor Welling and Kathryn Friesen to discuss how they formed wall-to-wall unions in the video game industry and their thoughts on broader challenges like layoffs and corporate consolidation.Taylor Welling is a producer and union member at OneBGS and Kathryn Friesen is quest designer and member of the World of Warcraft GameMakers Guild.Tech Won't Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Support the show on Patreon.The podcast is made in partnership with The Nation. Production is by Eric Wickham. Transcripts are by Brigitte Pawliw-Fry.Also mentioned in this episode:OneBGS and the World of Warcraft GameMakers Guild each won their union votes in July 2024.More video game workers have already been laid off in 2024 than did in all of 2023.Microsoft and the Communication Workers of America signed a labor neutrality agreement in 2022, to take effect 60 days after its acquisition of Activision Blizzard closed. In May, that agreement was extended to ZeniMax Studios.Microsoft laid off 1,900 gaming workers in January and closed four internal studios in May.Blizzard provides swords, shields, and helmets to employees celebrating 5, 10, and 20 years at the company.The ZeniMax Workers Union struck an agreement with their employer on the use of AI.Nicole Carpenter at Polygon put together a list of video game unions and an explainer on the rise of video game unions.Communication Workers of America has more information on unionizing as part of their CODE-CWA campaign.Support the show

To get live links to the music we play and resources we offer, visit www.WOSPodcast.comThis show includes the following songs:Anthea 'Jewels - Life Keeps Me Movin' On Stephanie Rabus - One Moment at a Time FOLLOW ON SPOTIFYCarrie Welling - I Wish I Was Water FOLLOW ON SPOTIFYAlisha Liston - Unwritten Melody FOLLOW ON SPOTIFYAudrey Callahan - Crown FOLLOW ON SPOTIFYConstance Hauman - Falling into Now FOLLOW ON SPOTIFYAlicia Mathewson - Freedom Is An Inside Job FOLLOW ON SPOTIFYChorus Of Courage - Climb featuring Lisa Iwanycki FOLLOW ON SPOTIFYKimberlye Gold - Rope of Faith FOLLOW ON SPOTIFYRebecca Drimmel - Stay Strong FOLLOW ON SHAZAMYvette Medina - Everything Is Gonna Be Alright FOLLOW ON SPOTIFYFor Music Biz Resources Visit www.FEMusician.com and www.ProfitableMusician.comVisit our Sponsor Bandzoogle at bandzoogle.comVisit our Sponsor Reel Magic at profitablemusician.com/magicVisit our Sponsor Miss Queue at missqueueband.comVisit our Sponsor Lourdes Pita at lourdespita.comVisit www.wosradio.com for more details and to submit music to our review board for consideration.Visit our resources for Indie Artists: https://www.wosradio.com/resources

Sleeper top tier episode this week as Tom Welling and Michael Rosenbaum revisit Smallville Season 5 Episode 7 SPLINTER! We get a healthy dose of ‘behind the actor's studio' as Welling discusses what went into Clark's evolution of paranoia and impatience in this episode. Outside of that Michael gets a pleasant surprise while rewatching Lexana begin and we all eagerly await Marsters' appearance on this pod… soon. __________________________________________________

John Welling is the co-founder of a non-profit whose mission is to bring sight to the blind. On this week's episode, he discusses not only physical blindness but spiritual blindness and why he believes that God and Jesus Christ can heal both through faith and the desire to be healed. 2:53- What Are Cataracts?5:30- Prevalence in Africa8:45- Possible Impact12:36- Guiding Miracles16:20- Daybreak Vision Project20:15- A True Story23:50- Faith To Be Healed29:42- Spiritual Blindness36:24- Spiritual Eyes and Stony Hearts40:09- Blessed To Participate42:35- What Does It Mean To Be All In the Gospel of Jesus Christ? “It has to be something that He does for us over time and we have to be willing to undergo the operation.” —John Welling Daybreak Vision Project - http://daybreakvisionproject.org Elder Maxwell on Educating our desires - churchofjesuschrist.orghttps://www.churchofjesuschrist.org › ...“According to the Desire of [Our] Hearts” Elder Kim B. Clark pride talk - https://speeches.byu.edu/talks/kim-b-clark/ye-stripped-pride/ Elder Maxwell on pride - https://speeches.byu.edu/talks/neal-a-maxwell/meek-lowly/ Clayton Christensen - “The strong help the weak and the weak help the strong and no one cares about who's weak and who's strong.” https://www.fairlatterdaysaints.org/testimonies/scholars/clayton-m-christensen  See omnystudio.com/listener for privacy information.

Tom Welling (Smallville, Lucifer) joins us this week for our 300th episode. He was our first guest, so we couldn't think of anybody more perfect for our 300th … We catch up on a lot with Welling - the rewards and challenges of fatherhood, his desire to be of service to others, and self reflections on his career to this point. We also get into stressful stories on set Smallville, his heart warming Keanu story, and resisting Brendan Fraser.  Thank you to our sponsors: ❤️ Betterhelp: https://betterhelp.com/inside