Podcasts about Hawaiian

Get ready to "hang ten" and do various other surfing things, because this week's episode is about riding the waves on those big ol' boards (surfboards). We discuss surfing's ancient Hawaiian roots, the invention of the surfboard leash, Duke Kahanamoku and all of the Beach Boys' cool surfing songs.For full-length weekly bonus episodes check out the TCGTE Patreon!Like the show? Rate Us on Apple Podcasts Hosted on Acast. See acast.com/privacy for more information.

Narrator: Thomas Jones

Lani Cran-Petrie runs Kapapala Ranch on the south flank of the Big Island of Hawai'i with her husband, Bill. This episode with Lani begins a series on ranching in Hawai'i. Lani describes the improbable history of cattle in the middle of the Pacific Ocean, from a king's gift of livestock to the hide-and-tallow trade through the sugar plantations that shaped which lands ranches kept, the collapse of in-state slaughter in 1992, the shipping containers and airplane crates that now move Hawaiian calves to mainland grass, and a long relationship with Ellensburg, Washington. She also tells the personal story of ranching for 17 years on thirty-day permits on state land, thirteen years of fighting at the state capitol to keep the ranch, ten million gallons of water storage built on faith, and the herd-breaking of "inexperienced" cattle with dogs, exclosures, and an air horn. The Art of Range is supported by RanchBot Monitoring Solutions. Host: Tip Hudson Music by Lewis Roise Producer: Matt Ziegler, WSU College of Agricultural, Human, and Natural Resources Communications Visit the episode page at artofrange.com for the transcript of this interview and links to other resources mentioned in this episode.

Welcome to Season 6, Episode 34! This might be the world's easiest trivia question, but what multibillion dollar sport began as a fun pastime in Hawaii? If you guessed surfing, you'd be right, and that's our main story this episode.  Long before surf shops, professional competitions, or the Beach Boys songs Surfin' USA and Surfer Girl, people across Polynesia had been riding waves for generations. And Hawaiʻi became the cultural center of surfing. Hawaiians developed surfing, preserved it, and ultimately helped teach much of the rest of the world how to do it.  In this episode we talk about the early history of surfing, how it developed over the years, some of the important people who spread enthusiasm about surfing, and more. In our recurring we discuss what we've been watching and talk about Hadestown in theaters and Beef on Netflix.  If you like what we do, please share, follow, and like us in your podcast directory of choice or on Instagram @AAHistory101. For previous episodes and resources, please visit our site at https://asianamericanhistory101.libsyn.com or our links at http://castpie.com/AAHistory101. If you have any questions, comments or suggestions, email us at info@aahistory101.com. Segments 00:25 Introduction 05:08 The Early History of Surfing, From Heʻe Nalu to the World 24:13 What Are We Watching? Hadestown and Beef

A thousand miles south of Hawaii, in the middle of the Pacific Ocean, a series of tiny islands form an atoll, called Palmyra. Palmyra Atoll is part of four protected U.S. marine monuments, forming the country's largest environmental conservation area. It is also home to a thriving ecosystem of birds, marine life, and one of the most pristine coral reefs in the world.No people live on Palmyra full time, and it is rare for journalists to be granted access. But the Trump administration is now trying to roll back longstanding protections by opening nearby waters to commercial fishing. NPR's Lauren Sommer was given access to visit Palmyra Atoll. Newly back from her trip, she tells host Ayesha Rascoe about everything she saw. They talk about the wildlife, the ocean, the reefs, and what the islands and offshore waters mean to native Hawaiians, conservationists, and commercial fishers.If you are interested in seeing photos from Lauren's trip to Palmyra Atoll, you can find them here.Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show's perks include sponsor-free listening. Learn more at plus.npr.org.See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

The wooden boards made by lifelong surfer and cultural practitioner Tom “Pōhaku” Stone (Kanaka Maoli) are heavy and cumbersome compared to the space-age composite boards most modern surfers prefer, but they are a connection to his father, a master board maker, and the generations of Kanaka Maoli surfers before him. Stone is among a growing number of Native Hawaiians nurturing the cultural significance of the sport at a time when many others are focused on technique, expensive gear, and image. Surfing's rise in popularity means pressure away from the spiritual and healing elements that are so important to Hawaiian culture. We'll talk with Native surfers about the origins of surfing and how that can map a more meaningful path for the sport's future. GUESTS Kaliko Kahoonei (Kanaka Maoli), waterman Tom “Pohaku” Stone (Kanaka maoli), cultural practitioner Sunny Kazama, surfer and college student at the University of San Diego Break 1 Music: He’eia [A Surfing Chant] (song) Halau Hula Ka No’eau [Hawai’i Arts Ensemble] (artist) Break 2 Music: Another Night to Cry (song) Blue Moon Marquee (artist) Scream, Holler, and Howl (album)

When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI's $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, running tens of millions of simulations for Fortune 100 clients like CVS and 85–99% accuracy vs human focus groups. Time to catch up on why this Second Summer of simulation is working!From creating Smallville, the landmark 2023 paper on Generative Agents that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if we could simulate the world before making decisions in it? In this episode, the Simile co-founder and CEO joins us to unpack the path from generative agents to digital twins, why today's frontier models still fail to capture how humans actually behave, and what it would take to eventually simulate all 8 billion people on Earth.We go deep on Simile's approach to modeling human behavior: long-form interviews, observational and transaction data, randomized controlled trials, population-level and individual-level models, and post-training on the causal mechanisms behind why people make decisions. Joon explains how his research created digital twins that reproduced human behavior and attitudes 85% as accurately as people reproduced their own responses, why models optimized to be rational can be bad simulations of irrational humans, and why understanding “social physics” may require changing model weights rather than simply prompting frontier LLMs.We also explore the much larger ambition behind simulation: testing products and policies before deploying them, finding counterintuitive paths toward desired outcomes, modeling emergent behavior across entire societies, and potentially tackling problems like climate change, democratic instability, and UBI. Joon reflects on scaling laws for simulation, the economics of data-center-scale simulated worlds, the connection to Thomas Schelling and psychohistory, why simulation is surprisingly similar to painting, and whether we might already be living in one.We discuss:* How Smallville and Generative Agents led to Simile* Why Joon's team asked: “What if we can just recreate the world that we live in?”* Why useful personal agents require deep models of their users* Memory architectures, Markdown files, and the limits of prompting* “Social physics” and behavioral foundation models* Why web data captures what people say more than what they actually do* Interviews, transactions, observational data, and randomized controlled trials* Why predicting the future matters less than understanding how to shape it* How Simile creates representative simulated populations* Simulation versus prediction and the connection to Foundation's psychohistory* How to evaluate simulations instead of simply stacking LLM hallucinations* Creating digital twins of 1,000 real people and reaching 85% behavioral accuracy* Why frontier models can struggle to reproduce real human behavior* Why good simulations need to reproduce human biases and mistakes* Post-training models on randomized controlled trials* Population-level versus individual-level simulation* Scaling laws for human simulation* The long-term ambition to simulate all 8 billion people on Earth* Whether simulations could help solve climate change or detect collapsing democracy* Thomas Schelling and the history of agent-based modeling* Why future simulations could require an entire data center* Multi-agent simulations and what happens when simulated people interact* Replacing expensive human panels with synthetic populations* Why market research is only the starting point for simulation* Why Joon sees simulation as surprisingly similar to painting* Using simulation to study questions like UBI* Whether we are already living in a simulation* Why AGI and simulation may be the twin technologies of advanced civilizationsJoon Sung Park* LinkedIn: https://www.linkedin.com/in/joonspark* X: https://x.com/joon_s_pk* Website: https://www.joonsungpark.com* Simile: https://www.simile.comTimestamps00:00:00 Introduction and Joon's Path from Art to AI00:01:46 Smallville, Generative Agents, and the Origins of Simulation00:05:03 “Let's Just Create a World” and the Future of Personal Agents00:09:53 Social Physics and Behavioral Foundation Models00:14:08 Prediction vs. Simulation: How Do You Shape the Future?00:16:59 How Simile Models Real People and Populations00:25:35 Evaluating Simulations, Digital Twins, and 85% Accuracy00:30:23 Post-Training Models to Reproduce Human Behavior00:40:04 Scaling Laws and Simulating 8 Billion People00:43:10 From Schelling to Society-Scale Agent Simulations00:46:13 The Cost and Economics of Simulating the World00:52:05 Real-World Use Cases, Synthetic Populations, and the Market00:57:27 The Future of Simulation, Painting, and UBI01:04:23 Are We Already Living in a Simulation?01:06:08 Building Simile and HiringTranscriptIntroduction: Joon Sung Park, Simile, and the Story So FarVibhu [00:00:00]: Today, we have Joon in the podcast. Excited to kick this one off. Very exciting company. I wanna kick off and ask you the question, talk us through the story of your life. How have you gotten here?Joon [00:00:13]: Yeah, for sure. I'm really excited to be here. A story of my life. So I was born in Korea, and I lived there for a good 11 years or so of my life, and then my family moved to Boston. So we moved when I was 11, and my parents were doctors, so they were going through their postdoctoral studies. My dad was a surgeon, so he was doing his sabbatical years at the Boston Children's Hospital. So I grew up there, not too close to tech. I was very much a music and artsy, painting kind of guy.Vibhu [00:00:49]: Painting.Joon [00:00:49]: Exactly. I got into painting a little bit later, in high school, but that's what I used to do. And then I grew up mostly in the East Coast after Korea. So I lived a good number of years in New Hampshire, and then I went to college in Pennsylvania. And I got into more of this tech scene, in college. So I was originally trained to be an artist. I thought that would be my professional career. So it wasn't a hobby. It was like, “Hey, let's make a living out of this.” And then gradually, I got really interested in this idea of, hey, the greatest artist often creates their own medium, and the best medium that we had available today was in computation. So I decided to go deeper into that, and one thing led to another, and we can go deeper into this, but I decided that research was something that I gradually got interested in, and here I am.Smallville, Generative Agents, and the 2023 Breakout PaperSwyx [00:01:46]: So there's a lot that you packed into the research components. You had one of the best papers of 2023, which was the generative agents paper, commonly known as the Smallville paper.Swyx [00:01:58]: Feel free to call back to anything else that you mentioned, but most people would have heard of you from this. Do you have any statistics on how many people have, like, read it? arXiv gives you something, right? Some stats.Joon [00:02:10]: Yeah, it's a good question. How many people have read it, I'm not sure.Joon [00:02:14]: I know we do keep track of citations, and they are going up quite fast.Swyx [00:02:23]: Yeah, Google Scholar has 7,200 citations.Vibhu [00:02:25]: I feel like it made a bigger hit than that, and it was a pretty instrumental paper. It got cited so many times.Swyx [00:02:34]: It is frequently the answer when people ask, “What is the best paper you've read recently?” It's this one.Vibhu [00:02:39]: I thought the memory component was pretty underrated. It was a very good early memory system, and one of the biggest papers.Foundation Models and the Search for Killer ApplicationsJoon [00:02:47]: Yeah, so maybe I can talk a little bit about how this particular paper came together. So when I got into research, it was back in 2020 when I started my PhD program at Stanford, and that was the year, when we were about to get GPT-3 to be available. So we already had GPT-2, and you could sense that there was this new class of models that was just becoming available in the market, and the team got very intrigued. And the general consensus was, “Well, is this model going to be useful for anything?” “It's really strange that these models are not trained to do any particular task.” But we decided to take a bet. So a large group of scholars at Stanford, and it was led by one of my co-founders, Percy Liang, and we came togetherSwyx [00:03:35]: Who coined foundation models.Joon [00:03:36]: Who coined the term foundation models. We wrote this paper, where that term came from called Opportunities and Risks of Foundation Models. And during that process, really the thing that I started to think deeply about was, here is a model that is fundamentally new in our ecosystem. The reason why this was new was it wasn't, again, trained to do anything in particular, but its premise was it could do anything and everything. It was like a stem cell, if you were to take a biology analogy. And I got really interested in this idea that, well, if we were to really think about what are the killer applications that this particular technology would enable, what would that be? Many of my colleagues were using this for simple classification, simple generations. Interesting that these models can do that, but from an interaction perspective, not that interesting. We've known how to do that for many decades. And what we came down to was these models are trained on this very broad data from the web, right? So these are human behavioral data. It's social media, Wikipedia, all these data. So if you poke at the right angle, then you could see human behavior that would just pop out that's quite realistic, and we've never seen that before.The Time Machine Game and Recreating the WorldJoon [00:04:45]: So that got us really interested. The exercise that we decided to do, with this particular group of colleagues, Michael Bernstein, Percy Liang, and myself, who ended up becoming my co-founder at Simile, we sat down and we played this game that we call the time machine game.Joon [00:05:03]: Imagine we were to get on a time machine and fast-forward 10 years and look back. What would have been the single application that will have mattered that would be the most interesting and inspiring? And when we thought, “Well, what if we can just recreate the world that we live in?” it's really hard to get more ambitious than that. Like, let's just create a world.Joon [00:05:24]: And that's where we started. And initially, we had this paper that was a precursor to the generative agents paper called Social Simulacra.Swyx [00:05:32]: Before you go further, were there other candidates for the most ambitious thing in the time machine exercise? What was number two or number three?Personal Agents, User Models, and Why Simulation Came FirstJoon [00:05:44]: There is a close second that we were considering, which ended up becoming more of these automation tools, especially the vision around really personalized agents that would do things for you.Swyx [00:05:59]: That's also happening.Joon [00:06:00]: It's also happening. But it was interesting for us, right, in that the reason why, we decided to go with the idea of simulation, one, I was a huge science fiction nerd, and this idea of creating simulation, I was personally really just fascinated. I loved the idea. It's really cool to see, like, a game town like this and just see these agents live in it. But at the same time, my bet was if you were to create a really amazing personal assistant out of this technology, what you need first is an amazing model of your users. So I told a model, “Hey, can you go buy late dinner for me?” And it orders Hawaiian pizza, and I do not like pineapples on my pizza. Then it totally failed. The way for it to not make that mistake is only by having a deep understanding of who I am. And I gave a very simple and dumb example here, but you can imagine how this core understanding of people is instrumental. This is how, if we have our family and closest friends, they have a good mental model of who we are. That's the basis of our social connection. So our bet also was this technology around simulation, creating accurate representation of people ought to precede the more complex agents that would automate the world that we live in. So that was the bet. But that was a very close second, and I'm still very much fascinated by it. I think there's a lot of interesting work that's going around. My hot take here, though, is I don't think we've seen a true personal assistant that's useful, in ways that meet the ambition of that particular line of work. I think there are early applications that are interesting, and if you talk to even ChatGPT nowadays or Claude, they know a lot about us. So a lot of the generation it's doing, I do think it's much more tailored, but I think the ambition is quite large in that field, and I don't think we quite have all the right ingredients just yet.Swyx [00:08:01]: So OpenClaw and these personal agents, what do you want to see from them that they don't currently have?Memory, Markdown, and the Limits of PromptingJoon [00:08:09]: I do think it's slowly getting there, but I do generally want them to have much deeper understanding of the person. Right now, you look at the models. OpenClaw, what it's leveraging is a Markdown file, and I think it's quite clever, right? So if you look at the generative agents paper, this was the same intuition that we had, where initially when we were creating the memory architecture for the generative agents, and, like, this is, like, back in 2022, so we didn't really quite have the idea of even agentive architecture or the term agent. But the intuition that we shared with some of the work that's coming out today was we initially thought, “Well, do we want to make the memory into, let's say, knowledge graph? Do we want to train a bespoke model?” All of these things. And what we decided to do was, “No. Just forget about all this.” These language models are quite good at modeling text and understanding and reasoning about text. So just put everything in a Markdown file or a text file. You're done. I thought that was quite interesting that we could do that, and there's a lot of strength in doing that. But also, there are limitations. It's the way you retrieve and make sense of data that's extremely large, it takes a lot of work. So I think that technology is getting better. I also do, however, think, there are certain things you just cannot shape just by prompting the model. So to some degree, you do need to touch the parameters of the model itself. So there is this work that I do think does need to happen, and it is happening. The question is, how far can we take it? How do we source data, and how do you also create an ecosystem where people are continuously feeding data to this model so it's learning about you?Vibhu [00:09:50]: What's the intuition between why you need to do it in the model?Social Physics and Behavior Foundation ModelsJoon [00:09:53]: My intuition behind the actual when do you train or even post-train a model versus just prompt a model is if the model has to learn the underlying physics of the world that it's operating in. So it has to learn new social physics. The places where it doesn't have to train are the places where it already has the physics. We trust the physics. It already has the base statistics, but it's just trying to react to an environment. Then I think you can just prompt your way into getting the actions out of it. I don't think the models that are out in the open have yet learned the complete mapping of social physics of humanity. This is one of the core theses of Simile, right? And one of the core reasons why that is the case is if you look at the data that the model was trained on, these models were trained on the web data, like, whatever was available on the web. And these are really interesting data sets, but they are fundamentally the self-exposed attitudinal data with some behavior data that's sprinkled around here and there. And it has yet to learn the really deep behavioral nature of people, not just what people say they do online, but what they do in real life. And this is one of what I would consider to be the dark knowledge of humanity that we haven't quite captured. And it's these data that would also need to get factored into the model creation.Vibhu [00:11:21]: You call it behavior foundation model.Vibhu [00:11:23]: There's a good one-liner here, but outside of that, what type of data do you need? What are you changing on the model level? How do you go about modeling, doing a behavior foundation model?The Three Data Buckets: Interviews, Behavior, and CausalityJoon [00:11:35]: We think about data in three buckets. So one bucket is interview data. It's quite interesting. Rich qualitative data is interesting. It's not behavioral, but we would literally ask people, “Hey, tell me the story of your life.”Vibhu [00:11:53]: It's just what we're doing here exactly.Joon [00:11:54]: The question that you all asked at the beginning of this interview literally is the question we also ask. And we ask our participants to go a little bit deeper, than how far I went. Maybe I can give more of my life story in lieu of this. But the reason why that data is interesting is by learning about this very long-tail information about people, you get a lot of texture around this model, like, this person as a model. So even understanding their childhood memory or even their trauma, their first love, these things, quite informative in ways that's really hard to predict. So that's one. Then there are two tranches of what I would consider to be the behavioral data. One kind of behavioral data is observational. So these might be like transaction data, or these might be data that you can get by scraping the web, right? So you can imagine why these data sets would be interesting, right, because they give you the base statistics of people's behavior.Joon [00:12:55]: But then there is the last category of data, that I personally think is perhaps the most important, which is the data that describes the causal mechanism, the whys of people. Some of this is covered by the interview data, the qualitative, because people talk about why they made certain decisions. But really, where you get to see the most behavioral aspect of this is in randomized controlled trials, like RCTs. Imagine you have the same setup, but you have a few different variables that you are trying to tweak. Can you get realistic human behavior out of it in ways where, imagine you had this particular option. Imagine you're even trying to choose whether you're going to drink coffee or not. The day you drink coffee versus the day you didn't drink coffee, does your behavior change? That's a data set that describes a causal mechanism. This is quite important in modeling people. The reason why this is important is oftentimes when people come to us, or not just to us, but the reason why people are interested in simulation isn't because they want to predict the future. If you're trying to win against the stock market, predicting the future is interesting.Prediction vs. Simulation: Shaping the FutureJoon [00:14:08]: But most people, most decision-makers, what they want to know is, how can we shape the future? It doesn't really help you to hear that your sales are going to tank in two quarters. They're just gonna say, “Wow, that sucks.” What they want to know is, well, what do we need to do now to avoid that future? That's the causal mechanism. And this is also very hard data to come by, right, because the world is our ground truth, but it happens once. So in a very controlled setup where everything is equal except for one variable, this kind of data set rarely happens. So this is a reason why this data set is both hard to come by and quite important if you're trying to model human behavior.Swyx [00:14:50]: So behavior, I think, is the hardest data set to acquire. What is out there? What is even possible? You're not going to know a lot of details about my life. I don't even have data for myself on my own health or habits, and I just don't log everything. So how can you have that data?Joon [00:15:14]: So we run a lot of randomized controlled trials.Swyx [00:15:17]: But you put people in the lab, they watch them sleep, or what?Joon [00:15:20]: We do care a lot about the consent process. People know that we invite them to be a member of this community to both share data and have themselves represented in different forms. But we bring a lot of people to the lab, or virtual lab, where we design experiments that would pose them real behavioral decisions. And often in these experimental setups, what makes the difference between what is attitudinal versus behavioral is whether the stake in your decision is real. That's ultimately what makes it behavioral. So in these setups, we are inspired by our colleagues in social sciences, psychology, and so forth. So when they run studies, the techniques they utilize is imagine there's an online store that you're inviting people to come by. Then whatever they purchase in this experiment, they actually get that item delivered. Like, these are the things that make the stakes real. So we run a lot of these experiments, and we also do partner with firms. Right now, we also have customers who are quite excited to at least give us a glimpse of the behaviors that their users exhibit so that we can get a little bit deeper understanding of how people behave in these different platforms.How Customers Use Simile: Populations, Queries, and ExperimentsVibhu [00:16:39]: I think on the customer side, they have a lot of data about their users, who has bought. They have the action data.Vibhu [00:16:47]: Can you walk us through an example of what someone comes to you for? What questions would they want solved? Do you customize a model for them? Do you have something off the shelf? What does that look like?Joon [00:16:59]: Today, when people leverage our models, it's often to better understand the population of their interest. So usually, the start of the relationship, we come together and hear about what population they want us to model, right? So it might be that if you're a CPG company that's selling to all of the US, then maybe it's fairly straightforward. You want to model the gen pop of the US. But at the same time, if there is a vertical or if there's a market that they're trying to go into, imagine, they want to better understand, let's say, people in their 20s and 30s living in California. That's a much more specific population. So we hear about this population, and we go recruit these people, with consent, and with incentives, and we collect some of their data and create a model of these people. Then what our product allows you to do is query them. So it can take as input a filter that is a description of the population that you want to talk to, just like the one I just mentioned, and an environment. The environment can literally be survey questions, behavioral experiments, It can be A/B testing. Oftentimes, the core use cases are things like concept testing, to start with. But also, people sometimes want to do focus groups or one of the fun use cases that we also serve is even modeling things like earnings calls for public companies.Joon [00:18:21]: So these are the use cases that we often start with.Swyx [00:18:23]: Concept testing, is that an established term? I've never heard of concept testing.Concept Testing, Gallup, and PoliticsJoon [00:18:27]: Yeah. So it has to do with they have, let's say, different messaging, different products, different ideas.Swyx [00:18:32]: It's like a marketing exercise.Swyx [00:18:33]: Okay, got it. Got it. Politics?Joon [00:18:36]: We do, have a strategic partnership with Gallup, and of course, Gallup is deep into policy space and so forth. Right now, we have not worked deeply with politics, like that area just yet, however.Swyx [00:18:49]: I'm curious if there is demand or if they really would have different needs that somehow fundamentally don't mix with your existing, users or people.Joon [00:19:00]: I think there's certainly demand.Joon [00:19:02]: But we are very much mindful of how this technology gets adopted and the societal impact that we'll end up having with this technology. And I do see politics as an area where a company has to be particularly thoughtful about the way they operate and make impact. So this is where we also want to make sure that we form enough of guardrail and perspective on how to leverage this technology before we go on to serve markets like the politics.Swyx [00:19:29]: I'll give people an example. one of my favorite shows is The West Wing. I don't know if people have watched.Swyx [00:19:34]: One of the key storylines is, like, the president has, multiple sclerosis, but they haven't. they need to figure out how to disclose it. So they run a poll with a fake governor and ask people to respond on the poll,Counterfactuals, Polling, and When Simulation Is UsefulSwyx [00:19:47]: They try to make decisions based on the results of that poll on, like, how well they'll be received, like where, how should we play this?Swyx [00:19:54]: And I'm like, well, I think those counterfactual things, I would use a simulation for this if I could trust it.Joon [00:20:01]: For sure.Joon [00:20:02]: In that show, how'd it go?Swyx [00:20:04]: In that show, it was, like a foregone conclusion. They were like, “We know it's bad. We just don't know how bad.” And then the poll came back. It was like, “It's really bad.” And then they just did it anyway.Joon [00:20:14]: Part of it is to show, right? So you're, you're looking at the ideaSwyx [00:20:17]: Maximizing drama.Joon [00:20:18]: How bad could it be? Oh, it's horrible.Swyx [00:20:20]: And to some extent, I think that is part of the trick of the, or the challenge or with being a customer of yours, which is that if I know it's. if I roughly know and can intuitSwyx [00:20:35]: What the effect is going to be, do I need you? What sensitivity of it, of effect do I need in order to make a decision, right? So for example, if I, my approval rating is 50%Swyx [00:20:48]: And I, they have this negative piece, news item comes out, and it drops to 30.Swyx [00:20:52]: If it drops to 20, if it drops to 40, do I care? No. It, I know it drops. It's negative. So when do I care about simulations?Joon [00:21:01]: You do something that's clearly bad, that's not popular, and people don't like you, like, yeah, it's likeSwyx [00:21:05]: You don't need a simulation.Joon [00:21:07]: Yeah. Well, so there are a couple of things. one is, there are use cases where, like every day, developers, designers, policymakers, marketers, every single day, they create assets. They create new products. And turns out, it's many of the decisions in hindsight is obvious. Yes, of course this is bad, but we still run those studies because understanding the magnitude and understanding how acute something is quite difficult, even if, we feel like, of course, like this makes sense. this is the reason why we make so many mistakes. Like, every time somebody goes online and say something that has huge backlash, you look at that and like, “What an idiot.” However, it's tough. That's one. There's also another aspect here, which is, again, this is the reason why simulation is different from prediction. In simulation, in the ideal case scenario. So what simulation is trying to show is it's trying to show each step of the way or each step that we need to take to get to a certain outcome, right? So in the most advanced simulations, sometimes the next step that we're suggesting might be quite counterintuitive. The analogy that I sometimes give, and I ground it in a more realistic example, but, I, as I mentioned, I'm a huge fan of science fiction, and I don't know how, many of the audience members have read, like, things like the Foundation series by Asimov.Simulation as a Path, Not Just a PredictionSwyx [00:22:37]: Oh, yeah. We've mentioned psychohistory a number of times.Joon [00:22:39]: Okay, fantastic. So I might be, talking to the right crew. If you read Foundation series, literally the first act is there's a group of scientists who have found out that, “Oh, our galactic empire is going to collapse, and we're going to have 30,000 years of unrest.” And they run psychohistory, the simulator that tries to teach them, “Okay, how can we keep this unrest to a 1,000 years?” And they plan this out, and the first step of that plan is to get the scientists who say, “Okay, this is coming,” exiled into this random place in this, galax- galaxy.Swyx [00:23:18]: Terminus.Joon [00:23:19]: Exactly. And that's so counterintuitive. Like, what a strange move that you literally sent the group of scientists who was raising voice around this potential collapse of galactic empire into nowhere. How is that the right first move? Well, it turns out in this particular simulation, that was the move.Joon [00:23:40]: It's these things, right? And the reason why these reasoning is possible is because you're showing the step function or each step that results in a particular outcome. So really what simulation allows you to do in its highest form is you give it not a problem or question, like what would people answer to the survey? That's not what we do. What we tell it is, “Here is a goal that we have. In the context of foundation, we want to keep the unrest to a 1,000 years. What is the path that we need to take now to get to that particular future?” And that's what simulation allows you to do. Now, translating that into real market, imagine you're a automobile company and you're about to release a, EV, and you're trying to understand, well, how do we market EV, to make sure that our stock price goes up? But what if the answer comes down that, well, you can market your EV in XYZ way, but that might change people's perception around the cars that's not EV and make your overall sales to go down. Not very intuitive, especially all you're trying to optimize is EV salesss, and that's the only thing that you're tracking, then that might result in a completely wrong solution, or at least different solution than what you would have expected, whether it's right or wrong.Joon [00:24:57]: That's the power of simulation.Swyx [00:24:58]: For listeners, we covered a similar topic with Mikhail Parakhin from Shopify, where they are working on SimGym. I don't know if he ever talked to you about it. it's very similar.Joon [00:25:07]: ISwyx [00:25:07]: The goal is increased conversion, but then the journey is very unusual.Joon [00:25:12]: Journey is unusual.Swyx [00:25:12]: Yeah. The-- He's trying to look for interventions on a shopping trajectory, which is similar to what you're saying. Like, it's not about the attitudinal, is your word for it.Swyx [00:25:24]: It's about behavior.Joon [00:25:25]: It's about behavior.Swyx [00:25:25]: And that's exactly the difference, right? It's, like, not about the near-term direction about-- but it's more about, like, how do you affect multiple turns of interactions.Vibhu [00:25:35]: You had a good quote at the start about this as well. It's not about people wanting to know the outcome. It's about how they can change it, change the way to get there, something like that. But I wanna take it back to how do we know this is grounded? LikeGrounding and Evaluating Digital TwinsVibhu [00:25:47]: How do you run evals? How do you test that simulations come through? if I was to do the same thing that you described with, say, your favorite LLM, Opus, GPT-5.6, have some agent to map out these thingsVibhu [00:26:02]: How different are the answers we would get if I give it the same goal, the same objective, make a decent system? You're saying that you need to change the model weight. You have your own solution to this. But how far off are we, and how do you check if it's grounded? you have some interesting stuff on your site that points to how you run real evals, but if you could take us through that side. I think that's one of the big concerns that people have. They're like, “LLMs hallucinate.”Vibhu [00:26:27]: “You're just hallucinating layer after layer,” right?Joon [00:26:30]: The way we do this, and this is the paper that we worked on after the generative agents paper that really became the, at least for Simile and also the field of simulation and synthetic panels, really became the foundation. Yeah, this is the paper. the paper is called Generative Agent Simulations of 1000 People. Here's what we've done. For this paper, we brought 1,000 people that's representatively sampled from the US to a virtual lab. And what we have done was we spent two hours collecting fairly wide-ranging data. In this particular study, we focused a lot on this interview data, that was, whose script was taken from this project called American Voices Project. And then we would also pair that with a lot of behavior data and so forth, whatever we can collect within two hours. And then we would send these people away for a couple of weeks. And during that time, I would use this data to create their digital twins. And I would bring the humans, participants back after 2 weeks and have them complete a battery of surveys, experiments, behavior studies. So we have the list here, which included things like behavioral economics games. We would run literally, like, Big Five personality test, General Social Survey. We would also go ahead and run the randomized controlled trials that were published on PNAS. And we would have their digital twins predict how the source individuals would have acted in these studies and surveys. And this is where we could replicate people's behaviors and attitudes 85 percent as accurately as people would replicate their own. So that was the first really paper that gave this validated results that we can model individuals in an accurate way. And what we ended up finding now, of course, in AI space, so this paper came out at the end of 2024. AI space, a year and a half, 2 years, that's a lifetime.85% Accuracy and Why Frontier Models Miss Human BehaviorSwyx [00:28:24]: Yeah. Just, for listeners who are not seeing the YouTube, I just wanna say, like, the headline figure is 85 percent accuracy, like, which is a big improvement over all the otherSwyx [00:28:34]: Methods that you showed.Joon [00:28:36]: But the part that was particularly striking to us, especially as we improved this technology even further, was the generative AI models like ChatGPT, Claude that's coming out, it does give you the right foundation. However, what they do not consider is the true attitudinal and behavioral aspect of people, especially in the population that you care about. So what these models are really good at today is they're trying to become the super rational, objective machines, right? So you go get their data from places like Mercor, Scale. You talk to professional programmers, scientists to create model that's amazing at reasoning. That's what they do. Simile doesn't care about any of this. The models that we're talking about here, what we're trying to create are models that are as dumb as I am, right? So if I make some mistakes, the model has to make the same mistake.Swyx [00:29:34]: Oh, that's very hard.Joon [00:29:35]: That's very hard.Swyx [00:29:36]: You're solving Murphy's paradox.Joon [00:29:37]: That's exactly. And this is a completely different data and training objective. This is also where we see quite a bit of discrepancy in the performance in human behavior prediction between the frontier models, Simile's model, and the models being created in this space, where in some cases, the model performance of frontier models go all the way down to 20, 30 percent, especially if you go into that more niche population on topics that our customers would care about. On more gen pop, it might be around 50 to 60 percent. So it's not very robust. Like, you wouldn't want to make your decision off of these and these findings. If you can bring that up to 85 percent, that is ultimately what people end up getting very excited about.Swyx [00:30:20]: Yeah. Do we wanna keep going on the paper, routes?Joon [00:30:23]: Yeah, for sure. So the last one, was an interesting one. So this, paper was the follow-up paper that we had, to the 1000 agents paper, where the idea was now can we augment the models even further and post-train a model based on a lot of randomized controlled trials? So this was an interesting one. The data is always the most interesting part of modeling in many ways. The data that we got here was there's this, there's this platform called Open Science Framework. So some, the audience might be familiar with this. And there has been, especially in the social sciences over the past 5 years or so, there has been this concern around replicability of studies. And so it was a bit of a crisis, the scientists acknowledged, where we rerun the study and we don't see the same finding.Post-Training on RCTs and Replication StudiesVibhu [00:31:12]: Oof.Joon [00:31:12]: It's tough. And the reason why it's there-- that was often the case was there's this survival bias where the papers that get published often need to maintain what we call the value of less than 0.05 in the experiments that we ran. That suggests that only-- there's only 5% chance that the results that we saw is false positive. But the tricky part was all the papers that were not published, and there's still a 5% chance that whatever we publish is totally just randomly generated. Like, there's a 5% chance that, hey, this effect is not real, but it just happened to be real because of the sampling bias. So because of that, what scientists started to do was they started to register their studies. So before running an experiment, they would go to this platform and say, “Here is the data. Here is the population that we're collecting, and here's the hypotheses.” And they would just say, “Here is our hypothesis.” Like, “This is what we believe.” And you cannot retroactively change those hypotheses. This is what gives us more scientific statistical confidence that whatever effect that you ended up seeing is true. So that ended up creating this really interesting platform where there's one platform that has now contains tens of thousands of real-world experiments and hypotheses. And a lot of these are really high-quality, like, professionally designed behavior studies and random- randomized controlled trials. So we got the data and the studies from this platform and used that to make a point. And this particular, model is not, something that we're serving commercially because this was a part of the open science. But this particular data set, helped us make a point that by collecting a lot of these randomized controlled trials, that are really well-designed, we can make significant improvement in model's capability to predict human behaviors. So that's what this paper was about.Vibhu [00:33:10]: Is this stuff done on a individual level? Like, do I need to tune the model per individual, per company? Is there foundation model changes and then some slight post-training? Anything you can share there?Population-Level vs. Individual-Level ModelsJoon [00:33:21]: So this particular model was trained. the data we had at the level of individuals, but this particular model was trained. We experimented with both. And this is what we end up doing at Simile too. We always train 2, distinct model. One is what we call the population-level model. The other is what we call the individual-level model. And both take very similar input, which is the description of a subpopulation or individual and a stimuli. In this particular work, we've done the same. Here, the results that we are reporting are much more geared towards individuals because we do think that is a harder task in many ways, but that's what we have done.Vibhu [00:34:02]: You seen anything on the questions that humans can solve that models can't solve? So likeHuman Biases, Mundane Choices, and What Models MissVibhu [00:34:09]: Currently, it's, I live 5 minutes walk away from a car wash. It's a 10-minute drive. Should I walk or drive?Joon [00:34:16]: Huh.Vibhu [00:34:16]: The model will say, “Oh, walk to the car wash.” And, you don't have your car.Vibhu [00:34:20]: Is anything like this a problem in simulation? You would assume, like, very simple for human to think about, but if the model is saying you should walk to the car wash, anything here?Joon [00:34:32]: It's less, what can we solve, but I think it's more about what biases or mistakes do people make that models miss. Like, imagine that you are, like the. When I was still at Stanford, I lived in Palo Alto. So it's about, I would say, 40-minute walk from the campus. You ask the model, “Okay, let's go home. What can I, what can I do?” It would likely call an Uber or, give me, the bus time. But for the longest time, I really liked walking back. And the reason why I wanted to do that was not for efficiency. It really helped me think. And I like to walk for, half an hour or 40 minutes or so a day, where I just get to, just think about ideas, research, just get lost in my thoughts. That's very human activity. Unless the model has seen that and understands the importance of that activity, it would miss these kinds of features. So that I think, is fundamentally what we're trying to model. Like, what is fundamentally human might not be the most efficient thing to do, might not be the right thing to do, but things that make us who we are.Swyx [00:35:43]: I'm curious if, there are some data sets that you really want that would materially help you. One version of this may be interesting, which is more valuable to you to acquire as a data set, all of LinkedIn, all of Twitter, all of Facebook?What Data Matters: Social Media, Transactions, and FacebookJoon [00:35:57]: It's a little bit hard to rank, in part because, there's, there's this product saying where no feedback is wrong because it teaches you something about your users. Doesn't matter what feedback.Joon [00:36:11]: I think it's a little bit like that.Swyx [00:36:12]: So just whatever is bigger.Vibhu [00:36:13]: What about a different domain? Say it was. What about all of Amazon data?Joon [00:36:17]: Oh, yeah.Vibhu [00:36:18]: Shopping data, right?Joon [00:36:18]: Shopping data. So Amazon data is interesting in that it's very much behavioral, although, like, what people do on social media, you could squint and say that is also behavioral. But the transaction data is always interesting. It is also most commonly available, however.Joon [00:36:33]: If we were to look at purely social media, like if you really, if I were, if I had to really pick, Facebook likely is interesting because I do think it is most a default version of people. Because you go to LinkedIn, it's very much professional environment. So people put up their, they have their guards up, right? And that still is interesting because that is true human attitude and behavior, but it is not your base state. you go to Twitter- Twitter, people have their own crazy personas, or depending on who you are. Like, my Twitter profile and, persona is very much, initially was I was very much an academic. “Hey, I'm here to share my studies.” Now, I share, things that's related to Simile. But Facebook is one of those more private space where people just connect with their friends. In that way, I do think it shows you a little bit more about who that person is. So if I had to pick, I'd likely pick, Facebook.Swyx [00:37:30]: Yeah. And you're interested in, like, the whole person and their background and philosophy. I, is it too clinical or too machine learning-oriented to just say this is just ways to inject variance and biases? The broad question, is, like, is this any better than a randomized, like, combinatorial explosion version? So we have a link to the TencentBillion Personas, Synthetic Demographics, and Bespoke DataSwyx [00:37:54]: Billion persona paper, where they did not do any of the groundwork that you are doing.Swyx [00:37:59]: They just did like a cross matrix of here's all the professions in the world, here's all the people, possible backgrounds in the world, do a dot product across all of them, and that's it. That's your prompt for a billion people.Swyx [00:38:12]: This will do something. I don't know if it'll do what you do, but it gets you some way, some percent of the way there.Joon [00:38:18]: So this was an interesting paper. Like, what I admired about this paper when it came out was the scale. And you do gradually want to be able to simulate really large societies and interactions. So the scale is definitely admirable. it is relying heavily on the known statistics that went into training the model. So to the extent that you believe that statistics is correct, this is not a bad way to go about this. But the thesis here, and this is something that we also have seen in the market, like if this works, then we have solved simulation.Joon [00:38:54]: It,Swyx [00:38:55]: Because I survey, like, okay, 5% of the US population is in construction.Swyx [00:39:01]: The other 5% is in medicine, whatever, right? And then you just keep going down the list, and then you do the other side. 5% has, like, the big 5 personalitySwyx [00:39:08]: Of, like, neurotic or whatever. That's it.Joon [00:39:11]: That's it. So if you believe that the underlying data set and the platform that we're leveraging has all the right statistics, then this will have solved it. you're at that point merely retrieving the knowledge that is already embedded in the model, in the model parameters. That's not, unfortunately, what we see, where there is such detailed and also niche knowledge about people that if you just take one example, it might feel very mundane, but it's quite rich when you put together, that you do need to do a lot of bespoke data collection to better understand people. And this is also, I think what makes this particular, job fun, which you want to deeply understand people, and the process of deeply understanding them requires a lot of attention to the details. And you do need to pay attention to and pay respect to the daily lives that people lead.Scaling Simulation: From Thousands to SocietiesVibhu [00:40:04]: I wanna talk about scaling simulation.Vibhu [00:40:07]: So what can't we simulate, what can we simulate, and how does scaling affect this? So how big are the models? What if we go from, 8B, like, couple 100 billionVibhu [00:40:18]: Like billion000 parameters, billion000? Do we get scaling? Any interesting emergence? Like, at a certain scale, at a certain amount of training, you uncover anything unusual and any learnings from that?Joon [00:40:31]: What we are seeing is at Simile, so we do post-train our own model. The thing that we're seeing is the early glimpse of scaling law in simulations. The more data about humans and more compute you ingest, you start to get predictive and predictable gains of the model performance in simulating it, simulating people.Vibhu [00:40:51]: Ooh. We need a scaling law curve.Joon [00:40:52]: It's scaling law. Whenever you find it's a beautiful thing. And we're starting to see the glimpse of it, which is quite exciting. But if you talk about the ambition of simulation as a whole, it's not merely about building a model. It's about building a model, then creating the agents that become the individuals in a much larger ecosystem. So they're creating this multi-agent simulation. Down the line, you want these multi-agent simulation to also live in a very rich environment, right? What we are really trying to get to at that point is, hey, can we create. All right, let's do a time machine game again, and 5 years, 10 years into the future, can we create a simulation of 8 billion people living on Earth? I think that's quite interesting. And that really is the vision. And once you get to that state, the questions that you can help answer for the society also start to change from my perspective. The answers are fundamentally about emergence of the emergent behavior of society and large groups of people.Joon [00:41:53]: So the questions that I get excited by, and maybe this is a stodgy- a bit. I have my, academic side of me.Joon [00:42:01]: And for me, it's questions like, can we help solve climate change? If you look at climate change as a problem space, this is what we, like social scientists would often call it the wicked problems, problem where you have many actors with competing incentives for trying to make a very complex decision and coordinating that coordination decision. Very difficult to really solve in real life, which is also the reason why we couldn't solve it. Can simulation help us solve that? Another one is, can we understand the signals for collapsing democracy, or can we understand or can we uncover the origin story of the monetary system? These are societal questions that we never really had a good way of answering. If we can create simulations of our society, you have to believe that these are the problems that we can solve. So that's really the ambition of this field. And, I also think, yes, I think there's a Nobel Prize to be won there, which wouldn't be surprising. And I think there's some amazing societal impact that we can have to help people make better decisions.Climate Change, Democracy, and Societal SimulationSwyx [00:43:04]: Nobel Prize in economics?Joon [00:43:06]: In economics.Swyx [00:43:06]: Oh, I see. I see. Rooting for you to write that paper.Joon [00:43:10]: One of these days. But, one of the scholars that I was deeply inspired by, When I was coming into the space of simulation, is this scholar, named Thomas Schelling.Schelling, Agent-Based Models, and the Nobel PrizeSwyx [00:43:23]: Schelling point?Joon [00:43:24]: So the canonical example of the work that he's done was he was one of the creators of agent-based modeling. So this was, like, in the 1970s and 80s. It's very early days, but this was truly one of the first exemplars of simulations. And one of the canonical model from that time, and of course many of these simulations are trying to tackle the societal problems that's most relevant for their era, it was called the model of segregation. So racial segregation was a big topic, that, we cared about. And what they've done was they created this grid world where they had red dots and blue dots. And these dots were, back in the day, like, they were the agents, and they had a simple rule that governed their behavior. If certain percentage of your neighbors are of different color and if that goes above certain threshold, then you move to a new location at random.Joon [00:44:21]: One of the striking finding of this paper or this agent-based model was for the longest time, people thought the segregation within society was caused by explicit and overt racism.Joon [00:44:34]: But if you look at this model, people's preference towards living with people of the same color, that preference can be very minute.Joon [00:44:42]: But the very small difference causes the society to segregate completely over time. This was very counterintuitive for a lot of people. And this particular work ended up informing housing policies. Mixed income housing, got really inspired by this work. And Thomas Schelling ends up winning the Nobel Prize for having laid the groundwork for very early versions of simulations. The opportunity that I do see here in the more scientific terms, is agent-based models for the longest, had impact in the 1980s, 90s, to some extent, early 2000s, but it has now gotten forgotten by the community a little bit. Because as you can imagine, red dots and blue dots is not really a rich description of people.Joon [00:45:31]: But with the emergence of things like generative AI and, in particular, generative agents, we do have an opportunity to create these agent-based models that are high fidelity enough to help us make really complex decisions. And that's the opportunity that I see. If that truly works, then yes, that is the work that will result in a Nobel Prize.Swyx [00:45:53]: Yeah. For what it's worth, and I grew up in Singapore. 80% of Singapore is in public housing, and public housing has, enforced racial quotas for exactly that reason, which is very interesting. okay, so we talk about scaling, we talk about all these, the agent possible applications.Cost, Reuse, and the Economics of SimulationSwyx [00:46:13]: I'm scared about the cost. if you even-- let's just keep it to the US, about 8 billion people.Swyx [00:46:21]: But, how much does it cost to model so many hundreds of millions of people?Joon [00:46:26]: Oftentimes today, we don't start at that scale, this stage of the, of industry and simulation as technology. But we can get our users extremely rich and meaningful insights even by modeling thousands, tens of thousands of people. And today what we do is every week we are collecting data on the scale of tens of thousands people's data, and we have panel partnerships that gets us to tens of millions of people globally. So that's what we do today.Swyx [00:46:55]: And just as a side note once you've collected one person for one studySwyx [00:46:59]: Can you reuse that same person for all the subsequent studies?Joon [00:47:03]: That's exactly right.Swyx [00:47:03]: Okay.Joon [00:47:04]: The beauty of this model and these agents is the fact that they are domain-agnostic.Joon [00:47:08]: That what you're really trying to understand is what is the fundamental nature of these people? What's their social physics? And there are a lot of, a lot of, people that does change over time. Like, even, like, even things like, how many times have you gone have you been to, like, CVS the past week? that will change. But there's so many traits about people that are also known to never change. Like, your risk tolerance doesn't really change over time. It's very consistent. So it's these things that we're trying to learn. But the scale we are operating is right now hundreds or, tens of thousands to hundreds of thousands. And in many of the core use cases that we are deployed in, and this is more than enough population, to cover those. Really, at that point, what you care about is less the number of people, but more do you have the right subpopulation of interest covered? And this is also the reason why people want a larger sample. It's not because they want, stronger statistical guarantees. It's more that can they filter down to any population of their interest. However, you can also imagine in 10 years, if we truly believe that the compute is going to scale, that we'll have much more availability for compute, and our ambition for simulation is also going to scale accordingly, there's definitely a reason for us to create an entire data center worth of simulations.Joon [00:48:35]: Or in my hunch here is I do think in the next some number of years, we will start creating simulations that will cost as much as training a foundation model. But perhaps it's going to be so valuable to the society that it would be a no-brainer. Right now, even today, like, we are training bunch of new foundation model just so we can say we trained one and we spent tens of millions. But if we can create a simulation at the level of society that would solve climate change, I would run that today. I would raise the money right now just to run that.Multi-Agent Simulation and Social InfluenceSwyx [00:49:10]: Amazing. the follow-up question is, does it also compound if you let the simulations talk to each other?Swyx [00:49:18]: Or do they already do that today? They don't, right, as far as I understand?Joon [00:49:22]: It depends on what simulation you're trying to run.Joon [00:49:24]: In the multi-agent simulation setup, the agents do talk to each other.Swyx [00:49:28]: Right, which is exactly Smallville, right?Joon [00:49:29]: That's right.Swyx [00:49:30]: But a lot of times, for example, in commerce, you're just by yourself, so there's no point talking. which is way cheaper.Vibhu [00:49:37]: But they use all these levels, right? Like, you decide what you will buy based on what other people around you buy and talk about, right?Swyx [00:49:43]: It depends.Vibhu [00:49:44]: It depends.Swyx [00:49:45]: Again, I'm, I'm coming at this from a cost point of view. I'm like, “Oh my God.” LikeVibhu [00:49:48]: I thinkSwyx [00:49:49]: If there is, like, some combinatorial thing of, like, thousands of people talking to thousands of people, then that one million X's might cost.Vibhu [00:49:56]: I have a very different view as the cost point aside. Like, running these studies in reality is a lot more expensive, right? Running any study like this is you gotta have people do it, you gotta sign people up. It's very expensive and sometimes, like, not feasible to run the study.Vibhu [00:50:14]: But the outcome or the decisions you make are very expensive on them, right? So spend X million on something that, the overall process costs 100 million might as well, right? There's, there's a lot of value to be had there. It's a small cost, but I'm excited on the cost side.Joon [00:50:33]: To some extent, and when you deploy technology, you often want to deploy in a way where you can replace existing budget or you can make things more efficient, and that is the best way to deploy. However, the way you capture the long-term value of the technology is making the argument that, no, it's the upside, that by making this better decision using simulation, you have saved yourself or made yourself hundreds of millions or even billions of dollars, and that's a case to be made.Vibhu [00:51:06]: Random tangent question. So if you're doing a lot of inference, a lot of model multi-agent stuff, are you at the point where it makes sense to, train a model that' very sparse? You're expecting to do multi-million dollar runs. Are you thinking about this in model architecture standpoint or inference efficiency, or, you're still at the research phase of it works, we're not super there yet?Joon [00:51:34]: Efficiency, we do think quite a bit about. this is technology that is deployed now in some of the largest enterprise companies in the world, and we do process significant number of queries, that are trying to, simulate the populations in the world. So efficiency is a consistent thing. we don't want to over-optimize too early, so I wouldn't say, like, this is the higher bid Right now, but this is definitely something that we think pretty carefully about.Swyx [00:52:05]: Yeah. Are there other case studies? So we, you talked about CVS, talked about Gallup, Deloitte, Wealthfront.Efficiency, Enterprise Use, and Real-World Case StudiesJoon [00:52:12]: Wealthfront is an interesting one, because one of the things they were trying to do, they were one of the first customers that wanted to do product testing that goes beyond just asking people what they think about, let's say, behavior experiments and so forth. So there, really what we had to do was reason about multimodal input, so images, but also you can also imagine, like, these agents traversing through Figma mockups or websites. So some of the things that our agents can also do is it can be given a domain, like, or, like, a website URL and go use it for a while. It's these things. And Wealthfront was one of the first, customers, that was very excited about this possibility.Vibhu [00:52:53]: What have people been asking? Like, is there any demand that we have not covered? Like, UI testing, right?Vibhu [00:52:59]: I wanna try a new. I wanna ship a new feature, test the UI, simulate how people will do it. Any interesting things that you're seeing demand for?Product Testing, Websites, and Synthetic PanelsJoon [00:53:08]: Today, a lot of the demand does come from like, the places where people have historically used human panels, we can now replace with agents, and these synthetic populations. And this is not replacing human panel. in many ways, the simulation that Simile is building is grounded. So the way that I think about this is we are trying to represent humanity at scale. And in that way, the use cases are what we would expect, but it's the scale of deployment that surprises me.Joon [00:53:44]: Turns out there are so many decisions that people make every day in these organizations, groups, and we want to be able to say, “We listen to people. We have consulted our users.” But in reality, that is rarely the case because getting to people and asking them many questions, it's difficult. It's both costly, time-consuming, but most importantly, people are just not available. If I had to answer 1000 survey questions for this one particular, vendor, even if I wanted to do that, like, I would never do it. And that's very much the case. What simulation can do is ensure that the voices of people are always represented in rooms where the decisions for them is made, right? So all the stakeholders of this particular product launch, ideally they're consulted. That's what this technology really is trying to enable.Market Size, TAM, and Human Decision-MakingSwyx [00:54:39]: In my mind, that means it skews towards more consumer focus, right? Like, anything with a wide enough customer base where you do benefit from the diversity that you represent. What are some rough statistics, just for people who are not familiar with this market in general, what's the market size that. I'm sure you have some, like, rough numbers. market size is, like, a vague questionSwyx [00:55:01]: But, like, how much do people spend?Joon [00:55:03]: So market research is a $100 billion industry.Joon [00:55:06]: But the thing about simulation is not a tool for market research. Simulation is a tool for human decision-making. So the question around what is a TAM here is quite tricky, right? Because it's easy to say, “Well, market research TAM is roughly 100 million or 100 billion.” so is it a TAM? And not really, right? Because in many ways, you're trying to inform all human decision-making. You're trying to inform every decision that are made about humans for humans. What is a TAM for that? It's really unclear. And I'll be honest. Like, I have a scientific background, I have a research background, so I didn't come into the field calculating, oh, what is the TAM for human decision-making? But I just had to assume, well, if we can inform every decision that is made about human for human, that has to be big.Swyx [00:55:58]: Some- something valuable.Joon [00:55:59]: Exactly.Swyx [00:55:59]: To some extent, you are a unicorn founder now, and you have to care as a CEO. But, like, I do think, like, yeah, when you go into these boardrooms with people that you're quoting millions of dollars of contracts for, like, you have to say, “Well, here's what you spend on humans-”Swyx [00:56:15]: “. And here's what we save you, and it's 85% similar.”Joon [00:56:19]: And certainly, the value case, is something that we care deeply about. Like, what is the value that we provide to the users and the decision-makers? But this is also where, like, as a founder, I think valuation only tells one very superficial aspect of the story, and I try not to think too much about valuation, in general, because that's not what also motivates a team or certainly doesn't. I'm, I-- Again, the interesting thing about researchers is we are happy living in academia, getting paid next to. we get paid okay. we don't get paid that much, as a researcher here in academia, but it's the impact and it's the, it's the value that we can provide to the individuals and the society that really drives us. And in that way, ultimately what drives us is the impact. Does the simulation we provide have a real impact in people's decision-making in ways that progresses our society forward? If the answer is yes, then yes. that has to be great business, and we see that in numbers, and we do care deeply about that upside story, but that's the heart of it.Where Simulation Goes NextVibhu [00:57:27]: Do you have any timeline predictions? So we talked about scaling laws of simulations.Vibhu [00:57:33]: You brought up, okay, maybe one day we can simulate how to solve climate change.Vibhu [00:57:38]: Where are we now?Vibhu [00:57:40]: If that's not the end state, what is an end state, and what does progress look like?Joon [00:57:45]: So what I sometimes tell people is simulation as industry, it feels a lot like where GPT-3.5, GPT-4 was, for the AGI saga, which is we have now technology that is powerful enough to do real damage on the verticals that we are tackling. At the same time, there's a lot of progress that is yet to come. And that's, I think, where this is. So the way I see it, I do think there will continue to be breakthroughs both in data, in algorithms, and there will be much more aggressive scaling that will also happen over the next few years. But I think that's roughly where we are.Swyx [00:58:27]: I think that was about the ro

What does disciple-making actually look like once people begin showing up?In the final episode of this conversation, Ralph Moore, John Honold, and Ken Makuakane move from vision to practice. They discuss launching Hope Chapel Kealapono, why the church's Hawaiian name was reimagined around the biblical idea of being "the fragrance of Christ," and what it means to create churches that equip people rather than keep them dependent.The conversation is filled with practical stories, from mentoring younger believers through messy relationships to why Ralph believes ministry should produce disciple-makers, not spectators. They also challenge some of the routines many churches take for granted, including why opening and closing every gathering with a ritual prayer can unintentionally diminish the life of prayer itself.If the first two episodes ask whether God is doing something new, this episode asks the next question: What kind of church will be ready when He does?

Get 15% of on Saily E-SimsThis podcast episode is sponsored by Saily. Saily is an ESIM service app created by the security experts behind NordVPN. Instead of paying absurd daily rates to your home carrier or swapping SIM cards on arrival, Saily gives you flexible prepaid data plans in over 200 destinations worldwide. Download Saily from your app store and use our code FREQUENTMILER at checkout to get 15% off your first purchase. https://saily.com/frequentmilerWith Tim based in Seattle, he's very familiar with the Alaska Atmos Rewards program. Today he's joining Greg to talk about some of the pros and cons of the program.(00:54) - Pro: Free to move points to others with an Atmos Summit card or a Hawaiian card(01:26) - Pro: Free stopover on most one-way awards.(02:14) - Pro: Award changes are free and easy(02:33) - Pro: Excellent award chart sweet spots (short-haul US, US-Oceania/Asia/South America, intra-Alaska).(04:06) - Pro: Relatively easy to acquire elite status(05:39) - Pro: Award flights booked through Alaska can earn status points based on distance flown, including partner awards(09:05) - Pro: Many partners beyond oneworld(11:20) - Pro: Various companion certificates can be very useful(15:34) - Con: Less robust route network than competitors like Delta, United, and American.(15:34) - Con: Atmos still doesn't allow awards with multiple partners outside of American, British Airways, and Finnair (although more are expected to be added this year).(20:25) - Con: $20 Partner award booking fee unless you have Summit cardSubscribe and FollowVisit https://frequentmiler.com/subscribe/ to get updated on in-depth points and miles content like this, and don't forget to like and follow us on social media.Music Credit – “Ocean Deep” by Annie YoderCheck out all of our other travel podcasts from around the worldThis podcast is part of the Voyascape Network, a collection of some of the world's best travel podcasts. Explore more at Voyascape.com. For advertising or sponsorship opportunities on this show and across the network, email advertising@voyascape.com or you can find more information at Voyascape.com/advertsing.

Savor Sonoma at Graton Resort & Casino: Carey Sweet on AYA, Live Fire & Vine & Sonoma County Wine Wine Road: Wine, When & Where Podcast Host: Katie Ambrosi Guest: Carey Sweet — longtime Sonoma County wine and food writer and Public Relations Manager at Graton Resort & Casino Episode Summary What's new at Graton Resort & Casino, and what can wine and food lovers expect from Savor Sonoma Live Fire & Vine? In this episode of the Wine Road: Wine, When & Where Podcast, Katie Ambrosi sits down with longtime Sonoma County wine and food writer Carey Sweet at Graton Resort & Casino in Rohnert Park, California. Carey shares her journey from covering the Sonoma County culinary scene as a journalist to joining the team at Graton, along with an inside look at the resort's major expansion, its growing culinary program, the new AYA restaurant, and the upcoming Savor Sonoma food and wine celebration on August 21–22, 2026. We also dive into the Live Fire & Vine Festival, featuring nationally known chefs cooking over live fire alongside a Sonoma County wine village, plus Graton's on-site farming program, sustainability efforts, upcoming restaurants and entertainment, and what makes Graton an increasingly important part of the Sonoma County food and wine scene. In This Episode Katie and Carey talk about: Carey Sweet's career covering Sonoma County wine, food, restaurants and hospitality and her transition from journalism to public relations at Graton Resort & Casino The major expansion underway at Graton, including a new smoke-free casino space AYA, Graton's new flagship restaurant led by Chef Roy Ellamar Chef Ellamar's California coastal cuisine with Asian, Hawaiian and Filipino influences Savor Sonoma, taking place August 21–22, 2026 The sold-out Friday Headliners Dinner and Saturday's Live Fire & Vine Festival Celebrity chefs including Aarón Sánchez, Marcus Samuelsson, Bryan and Michael Voltaggio, Nyesha Arrington, Charlie Palmer, Dustin Valette and Roy Ellamar The Aarón Sánchez Impact Fund, under the Emeril Lagasse Foundation, and its support of Latino youth pursuing culinary careers Graton's five-acre G5 farm and plans for the new 40-acre G40 farm Sonoma County sustainability, farm-to-table dining, living wages and community investment Graton's Sonoma County-focused wine program and Wine Director James Hernandez New and upcoming Graton restaurants including Revere (which is the rebranded 630 Park Steakhouse), Neon Kitty and Soco DoCo The Playbook's Detroit-style pizza and quesabirria tacos Graton entertainment, including John Legend, Third Eye Blind and plans for a new 3,600-seat theater Carey's favorite West Sonoma County food destinations What makes a great Sonoma County restaurant wine list Savor Sonoma 2026: Event Details Savor Sonoma takes place at Graton Resort & Casino in Rohnert Park, Sonoma County, on Friday, August 21 and Saturday, August 22, 2026. Friday, August 21: Headliners Dinner The Friday night Headliners Dinner is sold out and features a five-course collaborative dinner from acclaimed chefs including Aarón Sánchez, Charlie Palmer, Bryan and Michael Voltaggio and Roy Ellamar. Saturday, August 22: Live Fire & Vine Festival Time: Noon–5:00 PM Location: Poolside at Graton Resort & Casino General Admission: $165 VIP: $245, including the AYA after-party from 7:00–9:00 PM SOLD OUT Dress: Sonoma County elegant / resort wear Live Fire & Vine brings together acclaimed chefs cooking over open fire, Sonoma County and California wineries, live music and a poolside wine-country setting. Featured chefs: Aarón Sánchez, Chef, restaurateur and television personality known for MasterChef and Chopped Nyesha Arrington – James Beard Award finalist, alumna of "Top Chef," "Next Level Chef" and chef/owner of Native by Nyesha Cal-global restaurant in Los Angeles Marcus Samuelsson, Award-winning chef, restaurateur and Top Chef Masters winner Charlie Palmer, Sonoma culinary pioneer and founder of the Charlie Palmer Collective Bryan & Michael Voltaggio, Top Chef alumni and acclaimed restaurateurs Dustin Valette, Michelin-recognized Sonoma chef-vintner and founder of Valette Hospitality Roy Ellamar, Executive Chef of AYA at Graton Resort & Casino Wine Road Wineries at Savor Sonoma Live Fire & Vine We're especially excited to see several Wine Road member wineries pouring at Savor Sonoma. If you're attending Live Fire & Vine, be sure to look for these Wine Road wineries: A. Rafanelli Winery Bricoleur Vineyards Iron Horse Vineyards J Vineyards & Winery Ridge Vineyards Silver Oak Cellars These wineries are part of the Wine Road community representing the wines and wine experiences of Northern Sonoma County and Sonoma County wine country. Live Fire & Vine Chef Menu Aarón Sánchez Grilled Chicken Halves Congri, heirloom tomato and peach salad, Crystal Mojo sauce Marcus Samuelsson Whole Smoked Lamb Roasted pineapple, olive tapenade, roti and Scotch bonnet peppers Bryan & Michael Voltaggio Miso-Mushroom Cedar-Planked Cod Mushroom fideos, maitake mushroom, fennel pollen and Espelette aioli Dustin Valette Whole Pig Porchetta Smoked guanciale and white corn salad, Périgord truffle espuma Roy Ellamar Octopus Tinono & Pork Belly Lechon Sweet onions and Sungold tomatoes Nyesha Arrington Santa Maria-Grilled Tomahawk Ribeyes Kickback potato salad, charred spring onion and beef-fat vinaigrette Graton Resort & Casino Culinary Team G40 Vegetable Paella Pan-Roasted Camembert Local fruit and honey with Della Fattoria bread Cold Fruit Stand House-made chamoy, chili and lime salt Semolina Olive Oil Cake Whipped mascarpone and grilled summer stone fruit Wineries Pouring at Savor Sonoma Live Fire & Vine The Live Fire & Vine wine village features a broad selection of Sonoma County, Napa Valley and California wineries, including: A. Rafanelli Winery Aperture Cellars Bricoleur Vineyards Browne Family Wines Chappellet Hourglass J Vineyards & Winery Ledson Winery & Vineyards Martinelli Winery & Vineyards Ram's Gate Winery Ridge Vineyards Silver Oak Cellars Staglin Family Vineyard The Mascot Truchard Vineyards Turley Wine Cellars Valette Wines Vérité / Anakota Williams Selyem More About AYA at Graton Resort & Casino AYA is Graton Resort & Casino's new flagship restaurant, led by Chef Roy Ellamar, whose background includes working with legendary chef Joël Robuchon. The restaurant highlights California coastal cuisine with Asian, Hawaiian and Filipino influences while drawing ingredients from Graton's own farming program. Carey also talks about Graton's five-acre G5 farm and the planned G40, a 40-acre agricultural project designed to expand the resort's connection between farming, sustainability and its restaurants. New Restaurants & Entertainment at Graton Graton continues to expand its food, beverage and entertainment offerings. Carey gives us a preview of several projects, including: Revere: a reimagined version of the 630 Park Steakhouse with tableside presentations and a dramatic meat program. Neon Kitty: a playful, upscale concept inspired by Japanese convenience-store culture, expected to open in September. Soco DoCo: a brioche-based doughnut concept. The Playbook: serving casual favorites including Detroit-style pizza and quesabirria tacos. Graton is also expanding its entertainment offerings, with concerts including recent performances by John Legend and Third Eye Blind and plans for a new 3,600-seat theater as part of its hotel expansion. Carey Sweet's Sonoma County Food & Wine Picks In our rapid-fire round, Carey shares some of her favorite Sonoma County and West County destinations and discusses places including: Casino Bar & Grill in Bodega Valley Ford Creamery and Estero Gold cheese Rocker Oysterfeller's in Valley Ford Hazel in Occidental Cyrus in Geyserville SingleThread in Healdsburg Dry Creek Kitchen in Healdsburg She also shares her philosophy on Sonoma County restaurant wine programs: start with the wines and build the menu around what you want to drink. Also Mentioned in This Episode Graton Resort & Casino AYA The Playbook Tony's Revere/630 Park Steakhouse Neon Kitty Soco DoCo Douglas Keane and Cyrus SingleThread Dry Creek Kitchen Casino Bar & Grill Valley Ford Creamery Rocker Oysterfeller's Hazel About the Wine Road Podcast Wine Road: Wine, When & Where explores the wineries, winemakers, chefs, restaurants, events and personalities that make Northern Sonoma County wine country such a special place to visit. Follow the Wine Road for more stories and events from Alexander Valley, Dry Creek Valley and Russian River Valley, and subscribe to the podcast so you don't miss our next episode.  

Born in 1950, raised on the west side of LA, Craig R. Stecyk III is a multidisciplinary artist whose work spans film, fine art, commercial design, writing, and photography.  He's widely known for the "Dogtown Chronicles," which featured in Skateboarder magazine in the 1970s. In fact, Stecyk co-founded Zephyr, which spawned the hugely influential Z-Boys. During that time, in addition to documenting the scene through his writing and photography, he applied his singular graphic design sensibility to create the Rat Bones and the Dogtown Cross. Later, he co-wrote the award-winning 2001 documentary Dogtown and Z-Boys with Stacy Peralta, which further chronicled the Dog Town scene and its characters. Since the 1970s Stecyk's written many pieces about surfing, most notably "The Curse of the Chumash," which appeared in Surfer in 1976. Focused on Malibu, it blended local history, surf-skate mythology, and a heap of counterculture irony. His art installations include Road Rash, in which he scraped up roadkill, bronzed it, and returned it to the exact spot where he'd found it. In 1989 he made Papa Moana, featuring Hawaiian objects and artifacts. He helped curate Surf Culture: The Art History of Surfing, a 2002 exhibition at the Laguna Art Museum. He's written essays for several surf-related books, among them 1936-1942: San Onofre to Point Dume. A surfboard shaped and painted by Stecyk resides in the permanent archive of the Smithsonian. As filmmaker and artist Thomas Campbell puts it, "Craig's our patron saint of outsiderness, of being creative without bounds. His influence is so omnipresent you don't even see it." In this episode of Soundings, Stecyk sits down with host Jamie Brisick to talk about growing up in coastal Los Angeles, the Dogtown era, the strange artifacts that find their way into an artist's life, the challenge of making something that withstands time, and getting checked out of school by Miki Dora to go surf.  Presented by Rainbow® Sandals Produced by Jonathan Shifflett Music by PazKa (Aska Matsumiya & Paz Lenchantin) Become a TSJ member at surfersjournal.com

Edo Tanas joins the show after an incredible Hawaiian race season capped by his third straight Molokai 2 Oahu victory. We dig into the training, mindset and equipment development behind his season, including his move to Slingshot, how his approach to fitness and recovery has evolved, and the changing technique and gear at the highest level of downwind racing. Edo also tells the wild story of his Hawaiian island-chain project—foiling from the Big Island to Maui, Maui to Oahu and Oahu to Kauai on back-to-back days, including a seven-hour stretch on foil and some genuinely sketchy moments alone in the open ocean. Then we break down this year's brutal M2O, where Edo struggled to even get on foil at the start, watched the field disappear, and methodically worked his way back through the pack to take the win. It's a great conversation about racing, risk, efficiency, confidence, and just how quickly downwind foiling continues to evolve.

Lethal Mullet Podast: Episode #321: Top 5 Action TV Shows of the 1980's TOP 5 ACTION TV SHOWS OF THE 80s - RANKED. No sitcoms. No soaps. Just helicopters, Hawaiian shirts, duct tape, white blazers with no socks, and a bloke who leaps into other blokes. This week on the Lethal Mullet Podcast I'm counting down the 5 shows that raised us: 5. AIRWOLF - Billion dollar chopper held hostage by a bloke in a cabin who plays the cello. Peak 80s negotiation. 4. QUANTUM LEAP - Sam Beckett leaping into everyone's life trying to fix it. The only show where the hero could be a boxer, a mum, and a chimp in one week. 3. MAGNUM, P.I. - Ferrari you don't own, mansion you don't pay for, mustache that has its own ABN. The blueprint. 2. MACGYVER - Refused to carry a gun and became a verb. Stopped a nuke with a paperclip and made every dad think his junk drawer is tactical. 1. MIAMI VICE - MTV Cops. Pastel suits, Testarossa, gator called Elvis on a boat. It didn't just define the 80s, it WAS the 80s. Who did I rob? A-Team? Knight Rider? Tell me your #1 in the comments and I'll fight you respectfully.

Leslie Lopez has the latest at least seven killed after historic flooding with flash flood threats stretching from Ohio to West Virginia; Melissa Adan has details on tropical storm Lala delivering a devastating blow to the Hawaiian islands, with torrential rains and damaging winds leaving dozens of homes damaged and nearly 200 thousand customers without power; Morgan Norwood reports on the dramatic images of a deadly shooting at a crowded park during a concert in Lexington, Kentucky; Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sharai and Michael Varrati (from Midnight Mass) are wearing Hawaiian shirts and drinking tropical things while learning about Swamp Thing.Artwork created by Bri Tippetts. Check out her work at @britippettsart.Music Credits: Composed/Produced by LaRob K. Rafael. LaRob K. Rafael, piano/vocals, Jackson Kidder, bass, and Tiana Sorenson, vocals.Want More Time On Fierce Street? Then check out the links below!Follow all of our social media from our⁠ All My Links⁠.Subscribe to our ⁠Patreon⁠ for exclusive content and merchandise.

Ainslie MacLeod spent much of his life as a skeptic and professional illustrator before an extraordinary encounter with his deceased uncle in a Hawaiian bookstore changed the direction of his life. Today, Ainslie works as a psychic and spiritual teacher exploring past lives, reincarnation, purpose, intuition, and what he describes as the soul's journey. In this conversation, we explore Ainslie's belief that some of our unexplained fears, talents, relationships, and deepest callings may have roots beyond our current lifetime. We also unpack why so many people feel an increased urgency around purpose as they approach 40, how overthinking can drown out intuition, why journaling creates space to hear what we already know, and why community and belonging matter deeply during uncertain times. Whether you believe in past lives or simply remain curious about the mysteries behind who we become, this conversation asks a fascinating question: How much of who you are can actually be explained by the life you remember? EXCITING STUFF! My second book now available for pre-order! You're Invited: A Life-Changing Conversation with History's Greatest Wisdom Teachers Get your MENTAL FITNESS BLUEPRINT here! A special thanks to our mental fitness + sweat partner Sip Saunas   Connect with Marc: https://konect.to/marcchampagne   Timestamps: 00:00 — The question that opens every interview: “Who are you?” 05:43 — The bookstore encounter that divided Ainslie's life into “before” and “after” 08:37 — From illustrator and atheist to exploring psychic abilities 12:46 — The eerie coincidence minutes before Ainslie saw his deceased uncle 16:07 — What Ainslie believes past lives can reveal about who we are 17:36 — Could unexplained fears originate in another lifetime? 22:30 — The astral plane, life review, and what happens between lives 24:14 — Young souls, old souls, and the journey from “me” to “we” 28:11 — How Ainslie says his system was revealed to him 29:09 — Ainslie reads Marc's soul age and life pattern 32:59 — The surprising connection between premature death and fear of failure 35:32 — Why purpose can suddenly feel urgent around age 40 37:36 — Past-life talents, healing, creativity, and meaningful work 42:52 — How do you trust an inner knowing when the outside world remains uncertain? 43:25 — Why modern life can make it harder to become who we actually are 49:01 — Is humanity going through another shift in consciousness? 53:29 — How Ainslie navigates uncertainty and what still keeps him curious 57:41 — A practical exercise for strengthening intuition 58:57 — Why journaling clears the mental noise 60:10 — Community, belonging, and navigating a stressful world together 63:22 — The ripple effect of choosing to follow an unexpected calling * Special props

What is hula really communicating beyond the movements you see on stage?For many, hula is something they experience at a luau, but there is a deeper story, tradition, and cultural practice behind every movement, song, and detail.

Billy Pratt is a distinguished Hawaiian waterman, community leader, and dedicated guardian of a cultural legacy that reaches far beyond the islands. For decades, Billy has worked to preserve and perpetuate the values embodied by one of Hawaii's greatest icons, Duke Kahanamoku; Olympic champion, legendary waterman, and Hawaii's beloved Ambassador of Aloha. As president and longtime director of the Outrigger Duke Kahanamoku Foundation, Billy has helped advance opportunities for generations of young people through scholarships, athletic support, water safety, and community service. As a co-founder and chairman of the Hawaii Waterman Hall of Fame, he has helped ensure that Hawaiʻi's extraordinary watermen and waterwomen, and the traditions they represent, are honored, remembered, and celebrated. His commitment also helped bring Duke Kahanamoku's remarkable story to audiences around the world through the acclaimed documentary Waterman, on which Billy served as an associate producer. But Billy Pratt's legacy is about more than accomplishments. It is about stewardship, protecting Hawaiʻi's history, honoring those who came before, and inspiring those who will follow. He does through his service to numerous boards, committees and organizations all focused on making an impact.   Billy represents a powerful Hawaiian principle: that true leadership is not measured by recognition, but by service, responsibility, and what we leave for the next generation; and he does it all with incredible passion, purpose and “whacking it ‘til the wheels come off.”   0:00 – Introducing Billy & His Story 9:20 – Billy's Background & Early Years 19:45 – Finding His Path & Early Influences 31:10 – Major Turning Points Along the Journey 42:35 – Challenges, Setbacks & Lessons Learned 54:20 – Building Success Through Experience 1:06:05 – Mindset, Discipline & Personal Growth 1:18:30 – Stories That Shaped His Perspective 1:30:15 – Relationships, Community & Giving Back 1:42:40 – Lessons From a Life of Experience 1:54:25 – What Billy Values Most Today 2:05:10 – Final Reflections & Closing Thoughts

Join us as we go back to the 80s for the 1987 comedy classic Summer School! What better way to end summer and kick off the school year than this movie we loved. Lazy high school gym teacher Freddy Shoop (Mark Harmon) must cancel a dream Hawaiian vacation to teach a remedial English class of misfit students. Blackmailed by a strict vice-principal, Shoop uses unconventional teaching methods and bribery to connect with the kids. See the original podcast duo before there were podcasts Chainsaw and Dave. A pre look who's talking Kirstie Alley. Made by the great Carl Reiner of The Jerk fame but to me he played Saul in the Oceans movies. We even get Kalabar in this! So much fun give us a listen!

Kumu Hinaleimoana Wong is a cultural leader from the island of Oʻahu. She is a kumu hula, Hawaiian language and culture practitioner, filmmaker, composer, and community leader who has dedicated her life to preserving and perpetuating the ʻike, values, and traditions of our lāhui.Many know her from the award-winning PBS documentary Kumu Hina, which shared her story with audiences around the world and went on to win the GLAAD Media Award for Outstanding Documentary, the Independent Lens Audience Award, and the Frameline Documentary Jury Award. She also co-directed, produced, and narrated the Oscar-shortlisted animated short Kapaemahu, bringing the moʻolelo of Waikīkī's legendary māhū healers to an international stage.Along the way, she has been recognized as a White House Champion of Change, received the National Education Association's Human and Civil Rights Award, was named Native Hawaiian Educator of the Year, and was honored by USA Today as one of the Women of the Century for Hawaiʻi. She is also the composer of “Kū Haʻaheo E Kuʻu Hawaiʻi,” the powerful anthem that became connected to the movement to protect Mauna Kea and later earned Hawaiian Song of the Year at the Nā Hōkū Hanohano Awards.In this episode we talk story about growing up between two different cultures, her family, going to Kamehameha Schools, finding her identity, the roots of her Hawaiian knowledge, becoming Kumu Hina, what it means to be Hawaiian these days, her future plans, and so much more. Enjoy!Find Kumu Hina here:https://www.instagram.com/sharkgoddess808/Full episodes:

On this episode of the Perfect Cents Podcast, host Alex Becerra sits down with Shawn Kahan, co-owner of Yellow Brick Group and co-founder of the 'Our Street Night Market'. Shawn takes us through his incredible journey—from hustling t-shirts out of his car trunk at 17 after getting kicked out of school, to designing for NBA icons like DeMarcus Cousins, to building a multi-faceted creative agency in the heart of Sacramento. We'll dive into the origin of the 'Our Street Night Market', detailing how an event planned for a few hundred people unexpectedly drew over 11,000 attendees, inspired by his Asian and Hawaiian heritage and night market trips to Taiwan. He also honors the legacy of late developer Ali Youssefi, reflecting on the cultural impact of the Warehouse Artist Lofts (WAL), and offers profound advice for creative entrepreneurs on self-awareness, personal storytelling, and community building. Disclaimer: This podcast is for educational purposes and does not constitute financial, tax, or legal advice. SAFE is federally insured by NCUA and is an equal housing opportunity lender. Community & Local Favorites: Hanai Shave Ice Camellia Coffee Roasters Instagram - @camelliacoffeeroasters Majka Pizzeria Instagram - @majkabakes Southside Super Instagram - @southsidesuper Sacramento Little Saigon To check out the resources highlighted in this episode visit the links below. For more information about the upcoming Our Street Night Market visit: Our Street Night Market Instagram - @ourstreetmarket For more information about Yellow Brick Group visit: https://ybgroup.us/ Instagram - @yellowbrickgroup To learn more about SAFE Credit Union products and services visit: https://www.safecu.org/  To register for an upcoming Financial Wellness webinar visit: https://www.safecu.org/community/events To read the latest edition of SAFE's Beyond Everyday Banking blog visit: https://blog.safecu.org/ To contact the podcast team, email Podcast@safecu.org To watch this episode in video-format and access more financial education tips, subscribe to the SAFE Credit Union YouTube channel: https://www.youtube.com/@SAFECreditUnionCA

Can just five minutes a day help you begin releasing anger, resentment, and emotional pain you've carried for years?In this guided meditation from Renegade Remission, you'll practice a simple forgiveness visualization inspired by the Hawaiian tradition of hoʻoponopono, designed to help you gently release old hurts without excusing what happened or reconnecting with those who caused the pain.Using a calming boat visualization and a simple four-line prayer, this meditation helps you loosen the emotional tether that keeps your nervous system tied to past wounds so you can move forward with greater peace, freedom, and hope.Whether you're working toward forgiving someone else or learning to forgive yourself, this short practice can become part of your daily healing routine.In this episode you'll experience:A calming guided meditation you can return to again and againA simple visualization for releasing anger, resentment, and emotional painThe healing Ho'oponopono-inspired forgiveness prayerA gentle practice for forgiving yourself or someone who has hurt youA peaceful way to help your mind and body move forwardFor the science behind forgiveness and how chronic resentment may affect the nervous system, immune function, and healing, be sure to listen to the previous episode, Can Forgiveness Help Your Body Heal?Join my free email community for practical healing tools, research, survivor stories, and encouragement between episodes:https://TheRenegadeNutritionist.comDisclaimerThis podcast is for educational purposes only and does not offer medical advice. Consult your licensed healthcare provider before making any changes to your treatment or health regimen. Reliance on any information provided is solely at your own risk.This podcast explores stories and science around ALS, dementia, MS, cancer, mind body recovery, healing, functional medicine, heart disease, regression, remission, integrative medicine, autoimmune conditions, chronic illness, terminal disease, terminal illness, holistic health, quality of life, alternative medicine, natural healing, lifestyle medicine, and remission from cancer, offering hope and insights for those seeking resilience and renewal.

Winchester, Indiana's Hawaiian Steel Guitar Festival brings together musicians from across generations and cultures, welcoming Native Hawaiian artists alongside performers from across the continental United States. Kyle Long visited the festival and spoke with some of this year's performers including the Williams Twins, 96-year-old twin sisters who have been singing and playing guitar together at the festival for nearly 50 years.

Kennedy is back from Hawaii and ready to share every magical, wild, and hilarious detail from her dream wedding in Lanai! From getting hand-sewn into a custom dress to dancing so hard that they literally split the dance floor, Kennedalia takes you behind the scenes of her special day. Kennedy Now Available on YouTube:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://link.podtrac.com/kstw_yt⁠⁠ Follow on TikTok:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@kennedy_foxnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Join Kennedy for Happy Hour on Fridays!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://youtube.com/playlist?list=PLWlNiiSXX4BNUbXM5X8KkYbDepFgUIVZj⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week's WeatherBrains episode is all about Hawaii. Joining us tonight as Guest WeatherBrain is the Chief Meteorologist at Hawaii News Now.  She has given over 15 years of service and has provided trusted coverage for the Hawaiian Islands including tropical cyclones, earthquakes, tsunamis, fires, and other natural disasters.  She earned her Bachelor's degree in Atmospheric Ocean Science at San Fransisco State University.  Jennifer Robbins, welcome to WeatherBrains! Tonight's Guest Panelist is the Warning Coordination Meteorologist (WCM) at the NWS office in Honolulu.  He works Statewide with a wide variety of partners and earned his Bachelor of Science in Atmospheric Sciences from the University of Michigan in 1998.  He started at NWS Marquette MI in 1999, and has worked with the NWS Honolulu since 2006, and the WCM since 2017.  John Bravender, thanks for joining us tonight! Our email officer Jen is continuing to handle the incoming messages from our listeners. Reach us here: email@weatherbrains.com. Jennifer's early weather background (10:00) John's early weather background (15:30) What exactly is it like to forecast for the State of Hawaii?  (18:00) Difficulties forecasting with Hawaiian microclimates (20:00) Employee organization at NWS Honolulu (25:30) Torrential rainfall and major flooding in Hawaii caused by Kona lows (33:00) What exactly is a Kona low?  (42:30) What happened to the Central Pacific Hurricane Center? (49:00) 1992's Hurricane Iniki (50:00) Introduction of chickens to Hawaii in the wake of Hurricane Iniki (53:30) Fire weather threats and how it has changed in recent years (58:30) Tsunami risks and concerns in Hawaii (01:07:45) Warning protocol in the State of Hawaii regarding tsunamis and severe weather (01:19:30) The Astronomy Outlook with Tony Rice (01:25:30) This Week in Tornado History With Jen (01:27:30) E-Mail Segment (01:29:00) Sneak peak at future WeatherBrains episodes! (01:31:30) and more! Web Sites from Episode 1073:   Hawaii News Now First Alert Weather Honolulu, HI NWS Forecast Office Alabama Weather Network Picks of the Week: John Bravender - Homeowner's Handbook to Prepare for Natural Hazards James Aydelott - Okie James on Facebook: In 1936, the start of a truly hideous stretch of never-seen-since Summer weather in Tulsa Jen Narramore - Dyer County Historical Society Rick Smith - Out Troy Kimmel - Out Kim Klockow-McClain - Population structure and hybridisation in a population of Hawaiian feral chickens John Gordon - LoriGraceWX Monsoon Photography Bill Murray - Out James Spann - Proposed changes to WPC's Excessive Rainfall Outlook The WeatherBrains crew includes your host, James Spann, plus other notable geeks like Troy Kimmel, Bill Murray, Rick Smith, James Aydelott, Jen Narramore, John Gordon, and Dr. Kim Klockow-McClain. They bring together a wealth of weather knowledge and experience for another fascinating podcast about weather.

Get to know the goatfishes and their special place in Hawaiian culture. From keiki fishing for ʻōama with cane poles to the deeper meaning behind the endemic kūmū, we explore the efforts across the Hawaiian Archipelago to connect with and conserve these wonderful fish. Our guest is Jake Reichard with Hawaii's Department of Land and Natural Resources' Division of Aquatic Resources.

Zuckerberg faces questions over why superyacht reportedly declined to help stranded boat, Headline of the Week #1: Naked champion swimmer sccused of beating security guard to death with water bottle at Hawaiian resort, Investigation into illegal gambling operation at Missouri fairgrounds carnival booth leads to arrest

Who decides who can carry a firearm on your property and under what conditions? Does the Second Amendment presume permission or restriction? According to the Hawaiian legislature, they decide who carries and presumes restriction.

Episode 2011  Brought to you by our incredible sponsor: Better Help - Visit Betterhelp.com/HARDFACTOR  and join the 6 million people globally who have spoken with Better Help therapists  00:00:00 Timestamps 00:02:00 Memories of 2011 00:10:56 Japanese woman arrested for placing billions in fake orders on anime site 00:15:37 Hawaii congressional candidate gets KOed for being a drunk menace 00:30:49 Man with history of purposely setting wildfires may have set wildfire 00:39:14 Three lions die at Japanese Zoo… Wes is unaffected 00:42:03 More police using FLOCK Cameras to stalk people 00:43:57 RFK Eating Habits and Gag Reflex For more head over to patreon.com/hardfactor for weekly bonus episodes and most importantly HAGFD! Learn more about your ad choices. Visit megaphone.fm/adchoices

It's Friday, August 7. Here are today's top stories around Central Indiana. Want to go deeper on the stories you hear on WFYI News Now? Visit wfyi.org and follow us on social media to get local news every day. WFYI News Now is hosted by Barb Anguiano and produced by Zach Bundy. Subscribe wherever you get your podcasts.

Hour 3 of Jake & Ben on August 7, 2026 Tim's thoughts on the Latest Kawhi Leonard Story - Another No-Show Accusation Tim LaComb joins to talk about the Why College Sports Need Guard Regulations Audio Vault: Hear from the Guy who Beat Up the Crazy Hawaiian Congressional Candidate

This episode is a classic, and I am eternally grateful to Dr Byock for talking with this “small potatoes” podcaster back in March of 2023. Echoing other practices, including the ancient Hawaiian practice of Hoʻoponopono, Dr Byock talks about the importance of “I love you, I forgive you/please forgive me, thank you, and goodbye.” What might it mean to “make right”?For more information on Best Life Best Death please visit our website at ⁠⁠www.bestlifebestdeath.com⁠⁠Follow us on our social channels to receive pertinent and helpful resources on death, grieving, and more at:Facebook: ⁠⁠www.facebook.com/bestlifebestdeath⁠⁠Instagram: ⁠⁠www.instagram.com/bestlifebestdeath⁠⁠

From Olivia's Hawaiian adventure to Shauna's obsession with social media mascot Jimothy the raccoon, the Junkies cover it all in this pop culture-themed gabfest. Find out about Gwyneth Paltrow's perfect salad, the latest in romantasy and 'Bromantasy', and an obsession with 'Obsession' in this fun conversational episode. We have affordable and rewarding Patreon tiers! Be the first to hear new and uncensored content, if you dare! Click here: https://www.patreon.com/popculturejunkiepodcast/posts  Apple Podcast: https://podcasts.apple.com/us/podcast/pop-culture-junkie/id1536737728  Spotify:https://open.spotify.com/show/7k2pUxzNDBXNCHzFM7EL8W  Website: www.popculturejunkie.com  Facebook: PopCultureJunkiePodcast  Instagram: @pop.culturejunkie  Threads:@pop.culturejunkie   Bluesky: @pop-culture-junkie.bsky.social  Email: junkies@popculturejunkie.com  Shauna on Instagram: @shaunatrinidad   Shauna on Threads: @shaunatrinidad   • Olivia on Instagram: @livimariez 

JD completed the Epic Deca, which is 10 Ironman triathlons in 10 days across all six Hawaiian islands, and became one of three people in the world to ever finish it. He sold his house to fund it. He came home to a storage unit because he couldn't afford anywhere else to live. And he says the hardest part wasn't the race itself. JD is a military veteran, an engineer, a certified naturopathic practitioner, and an endurance athlete who has spent his life learning how to build the kind of mental fortitude that carries you through not just extreme physical challenges but the everyday ones that most of us are quietly battling. Depression doesn't leave after you climb the mountain, he says. It's how you cope with it that changes your life.  We get into how he prepared for the Epic Deca, why discipline is something earned through structure and systems rather than something you're given, how he breaks down terrifying goals into something actually executable, and what sustainable performance really means when you're also a father who wants to be able to run around at the park with his son. We also talk about writing his book, Hunger for More in Life, and one particular message he received from a reader that made every bit of it worth it.   IN THIS EPISODE:  What an Ironman endurance race entails, and what multiplying it by 10 across six Hawaiian islands looks like Why discipline is a byproduct of structure, not a personality trait you either have or don't The difference between motivation and discipline, and when to use each one What sustainable performance actually means, and why longevity is built in the connections you make along the way Why your goal probably isn't big enough if it doesn't scare you, and how to break it down so you can actually move How he applied the same engineering method he used to train for the Epic Deca to writing a book The reader message that made him understand why he wrote it   Find JD at HungryWarriorAcademy.com Book: Hunger for More in Life, available on Amazon Join over 20,000 souls who tune into weekly newsletters on the competitive advantage you get alcohol-free. Get on the Euphoric newsletter. Apply to be our next Thought Leader to master premium selling and thought leader positioning to publish your book and deliver your keynote onstage.  Euphoric the Club is the premier space to lose the desire for alcohol as you surround yourself with successful women who don't drink (and the women who are becoming them). Euphoric the Club includes full access to all of my alcohol-free programs to make alcohol meaningless as your dreams take center stage.  If you know you're meant to help other people change their relationship with alcohol and create a profitable online brand, be sure to get on the waitlist for the Empowered AF Coach 5x Certification – and get 5x certified as a world class alcohol-free empowerment coach, subconscious change coach, success coach, NLP practitioner, and hypnosis practitioner and implement our 0 to $100k Coach Method™ as your build a profitable brand.  Profiling successful people who don't drink and where the alcohol-free lifestyle and entrepreneurship collide. Subscribe to the Euphoric AF YouTube channel. Read Euphoric: my HarperCollins bestseller on losing the desire for alcohol while getting high on your dream life. Be sure to get your copy of Euphoric: Ditch Alcohol and Gain a Happier, More Confident You today or grab your free chapter here.  Follow @euphoric.af on Instagram.  Please do rate, review, and subscribe so we can continue spreading our message far and wide!

Brett and Danny are back to discuss all of the MLB trade deadline happenings! We discuss whether or not the Dodgers are ruining baseball after trading for Tarik Skubal, the Yankees' love of power-hitting first basemen, and which teams should have made more moves with the postseason right around the corner! We also talk about some notable individual performances this season, from a historic Triple Crown contender to Cal Raleigh's dropoff! As always, we touch on some off-the-field tangents such as how long to wait for a headliner to perform and the value of a Hawaiian shirt! Tap in for all that and more! For more from Danny Foxworth: Follow his YouTube Channel: https://www.youtube.com/@dannyfoxworth843 Follow him on IG: https://www.instagram.com/dannyfoxworth843/Search him up wherever you listen to podcasts:-”At The Plate with Danny Foxworth” for all of your baseball needs-”Since We Last Spoke with Danny Foxworth” for life advice, dope interviews, and everything in between-”Growing Up Lowcountry with Danny and Liz” for a look at how Charleston was before hotels took over-”A Wick-ed Good Time” for the candle review podcast you didn't know you neededWant more of what I'm doing? Tap into my Screen Shots weekly sports watch guide: brandonsilvers.comThe Rundown: 00:00 Intro01:06 Are the Dodgers ruining baseball?07:38 Disappointing Seasons: Team Edition16:50 Disappointing Seasons: Player Edition28:11 Players who need more love39:48 Teams that should have been more aggressive43:54 Winners and Losers52:33 Texas Rangers UpdateDon't forget to support Catch Da Beat Apparel Co.! Website: https://catchdabeatapparel.com/ Facebook: https://www.facebook.com/catchdabeatapparel/ Instagram: https://www.instagram.com/catchdabeatapparel/ Listen to the Beyond The Arc with Brandon Silvers podcast at: Apple Podcasts: https://podcasts.apple.com/us/podcast/beyond-the-arc-with-brandon-silvers/id1611971780 Spotify: https://open.spotify.com/show/2LeRaBW3J2yJSA0kU4WS3j Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy84M2Q2NjBlMC9w b2RjYXN0L3Jzcw Anchor: https://anchor.fm/byabrandonsilvers Send us an email at: beyondthearc843@gmail.com Beyond The Arc with Brandon Silvers breaks down today's hottest sports topics in a way that makes sense whether you're a rookie or a vet! Tune in to hear in-depth analysis, unique commentary, and more! Follow BTA on Twitter @BeyondTheArc843! For more from Brandon, follow him on Bluesky @brandonsilvers.bsky.social and on Instagram/Threads @thebrandonsilvers!

The Osage language was declared dead in 2005 after its last fluent speaker died, but revitalization efforts since then have built the number of proficient speakers to about 40. The Caddo Nation continues its extensive language revitalization efforts more than a year after its last fluent speaker walked on. It’s an uphill battle for most tribes in the U.S. to retain their language. The new book, “How to Kill a Language: Power, Resistance, and the Race to Save Our Words”, examines the global crisis of cultures losing their languages. In a New Yorker review of the book, philosophy instructor Nikhil Krishnan uses the book's premise to argue that the death of a language is sometimes “just how things go.” That touched off strong opposition from the language advocacy organization, The Endangered Languages Project. They and other organizations say such fatalistic thinking promotes misleading and harmful narratives and undermines efforts to preserve languages globally. We'll hear from Indigenous language advocates who argue no expense should be spared to revive languages before we lose them. GUESTS N. Ha’alilio Solomon (Native Hawaiian), assistant professor of Hawaiian language at the University of Hawai'i at Mānoa Dr. Myrna Cunningham (Miskito), Indigenous Peoples rights activist and educator Skyler Kuczaboski (Leech Lake Band of Ojibwe), grants administration support for the Minnesota Indian Affairs Council

What if astrology was colonized too? In this episode I trace colonial mentality back to my Ilocano grandmother in Hawaii, the plantation caste system, and the Hawaiian sovereignty movement, then connect it to the real history of Johannes Kepler and Galileo as court astrologers before what I call the Great Separation. I get into why astrology got pushed out because it was bad for business, not because it was wrong, and I share the eight ways I decolonize how I practice and teach astrology today. If you have ever felt like parts of your chart were "in fault," this one is for you.

What happens when tiny GPS trackers and sneaky songbirds collide in one neighborhood? In this episode about animal behavior and bird tracking technology, Mindy and Guy Raz take you on a hilarious mystery-filled avian adventure to uncover a surprising scientific discovery about Hawaiian honeycreepers! Along the way, you'll learn how scientists used miniature GPS trackers to follow these colorful birds, only to discover that some of them were secretly stealing nest-building materials from their feathered neighbors! From outrageous neighborhood accusations to real-world bird burglaries, this episode is packed with laugh-out-loud hijinks, fascinating science, and a mystery that keeps everyone guessing. By connecting laughter to learning, this animal science episode shows how curiosity, observation, and technology help scientists uncover nature's most surprising secrets.At the Neighborhood Snooping Association's annual meeting, Baby Dennis is running the show, Gramma G-Force is stuffing donuts into her purse, and suspicious behavior is everywhere... But when a young neighbor accuses Gramma G-Force of stealing pieces of his backyard blanket fort—and presents GPS tracking evidence to prove it—the meeting erupts into chaos! Before long, the neighborhood mystery transforms into an unforgettable journey into the forests of Hawaii, where scientists used the very same kind of tracking technology to follow one of nature's most surprising nest-building thieves.Get ready for a whirlwind adventure filled with neighborhood snooping, hilarious courtroom-style chaos, scientific detective work, and plenty of bird-sized mischief. From GPS maps covered in mysterious scribbles to daring nest heists high above ancient Hawaiian lava fields, Mindy and Guy reveal how satellites, wildlife research, and a little curiosity can unlock amazing discoveries about the world around us. This is the Who, What, When, Where, Why, How, and Wow in the World of the sneakiest songbirds, the Hawaiian honeycreepers, brought to life with humor, curiosity, and a whole lot of WOW!✨ Don't miss the chance to explore even further with Wow in the World:Grownups can visit tinkercast.com/join-twaaw to join the World Organization of Wowzers (WOW) and unlock exclusive activities, birthday cards, quarterly mailings, first dibs at events, and a welcome kit with an autographed photo of Mindy & Guy Raz! Plus, Grownups help support our podcast and our mission to create content and experiences that connect laughter to learning, curiosity to innovation, and kids to the WOWs in their world!This episode of Wow in the World is a perfect blend of storytelling and science, inviting kids and families to solve a neighborhood mystery, discover how GPS technology helps scientists study wildlife, and uncover why some of Hawaii's most colorful birds have become nature's most unexpected nest burglars—all while laughing, learning, and wowing together.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this Wednesday Night Dharma Talk, Roshi Norma Wong, a Zen priest of Native Hawaiian and Hakka Chinese descent, offers a Zen and indigenous perspective on spirituality and governance. Norma grounds the talk in an unbroken relationship to place and lineage, opening with the Hawaiian chant E Ho Mai, calling in the ancestors and declaring: “There is no human on the face of the Earth who was not… Source

In this episode, Rivers, Sam, and Carter are hangin' out at Disgraceland Studios with NO GUEST NEEDED! We kick this one off by testing out an energy drink called "Yahweh" with white Jesus on the outside of the can and the holy spirit inside. Then we chat about a recent incident at the grocery store where Sam works and the weird Hawaiian surfing cult that former Director of National Intelligence Tulsi Gabbard was a part of since birth. Queen's "Another One Bites the Dust" is our JAM OF THE WEEK! Tune in now and praise be!    Follow the show on social media @TheGoodsPod  Rivers is @RiversLangley  Sam is @SamHarter666 Carter is @Carter_Glascock  Subscribe on Patreon for the UNCUT video version of this episode as well as TONS of bonus content!  http://patreon.com/TheGoodsPod

There's a jumbie in a jalopy and the spirits are flowing during happy hour on St. Thomas. Plus, young Lopaka meets a mysterious girl hanging by an abandoned pickup. Joyride There's a jumbie in a jalopy and the spirits are flowing during happy hour on St. Thomas. Thanks, Greg, for sharing your story! Produced and scouted by Paulina Creque, original score by Doug Stuart, artwork by Teo Ducot. The Pickup LIVE Young Lopaka meets a mysterious girl hanging by an abandoned pickup in Maui. Thank you to Lopaka for once again taking us with you on a journey to the other side. If you want to hear more stories from Lopaka or learn about his Hawaiian ghost tours – visit his website Mysteries of Hawaii. This story was told at Spooked LIVE in Oakland. Instrumentals by Clay Xavier and Simon Keyser-Petty. Engineering by Miles Lassi. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What if one of the most important dates in Hawaii history is also one most visitors never learn about?For Hawaii travelers and people who love the islands, understanding July 31 helps explain why Hawaiian sovereignty is not just history, but part of a living conversation today.

Ben & Paul start the 8am hour by letting Woodsy enjoy some of his Hawaiian vacation, and we hear about Benny's trip to Las Vegas this weekend for his son's 21st birthday. Then we get to today's MLB Reacharound before the manager of the Padres, Craig Stammen, joins the show for The Manager's Report on a Friar Friday to talk about "pitching chaos", the trade deadline, and more!

18 months into JCBA negotiations, talks have slowed with key sticking points around pay banding for larger narrowbodies, vacation and sick leave provisions, and other cost and control items. The Transition and Process Agreement (TPA) is guiding how new and growth aircraft are assigned—recently assigning 737 freighters to Alaska pilots and an A330 freighter to Hawaiian pilots until seniority list integration (SLI). The TPA protects minimum fleet and block-hour levels for each pilot group until SLI, complicating plans to replace Hawaiian 717s with 737-800s in Honolulu. If the JCBA is ratified, SLI could take up to about 13 months to complete; next negotiation meetings are scheduled for August 18–19. Pilots are encouraged to stay engaged through updates and local events.

Join us for a powerful chant to dispel anything negative and bring in the good and a discussion about the ancient Hawaiian art of Huna Healing!  Dr. Elizabeth Bonet interviews the one and only Belinda Farrell about the Healing Modality of Huna.  This episode starts off with a Huna chant, explores swimming with Dolphins, how Belinda became a stunt car driver, and how she became a healer, first healing herself with Huna.   As a Certified Master Hypnotherapist, NLP Master Practitioner, Huna Practitioner, and Reconnective Healing Practitioner, Belinda is effective at getting results and enhancing performance in people's lives. Belinda trained and worked as part of Tony Robbins' team, became a professional Precision Stunt Car Driver for TV commercials and films in her 40s, and later became a healer herself.   Belinda is the author of an audio CD and the book, "Find your Friggin' Joy." You can learn more about her at her website: http://www.hunahealing.com   -------------- Support the podcast through Buy Me a Coffee! https://buymeacoffee.com/drlizbonet Support the Podcast & Help yourself with Hypnosis Downloads by Dr. Liz! http://bit.ly/HypnosisMP3Downloads Do you have Chronic Insomnia? Find out more about Dr. Liz's Better Sleep Program at https://bit.ly/sleepbetterfeelbetter Search episodes at the Podcast Page http://bit.ly/HM-podcast --------- About Dr. Liz Interested in hypnosis with Dr. Liz? Schedule your free consultation at https://www.drlizhypnosis.com Winner of numerous awards including Top 100 Moms in Business, Dr. Liz provides psychotherapy, hypnotherapy, and hypnosis to people wanting a fast, easy way to transform all around the world. She has a PhD in Clinical Psychology, is a Licensed Mental Health Counselor (LMHC) and has special certification in Hypnosis and Hypnotherapy. Specialty areas include Anxiety, Insomnia, and Deeper Emotional Healing. A problem shared is a problem halved. In person and online hypnosis and CBT for healing and transformation.  Listened to in over 140 countries, Hypnotize Me is the podcast about hypnosis, transformation, and healing. Certified hypnotherapist and Licensed Mental Health Counselor, Dr. Liz Bonet, discusses hypnosis and interviews professionals doing transformational work. Thank you for tuning in!

Ben & Woods start the 8am hour with Woodsy telling us about how he spent his day yesterday in Kauai, and how much fun he had going down the big water slide at the pool. Then we play a quick game of Real or Fake on a Throwback Thursday before we are joined by Eno Sarris from The Athletic for our weekly Smart Baseball segment as we wrap up the show an hour early and head over to this week's Epic Padres Roundtable! Listen here!

Whether you're riding bikes to the cutest curated public art galleries, roller skating to some local hip-hop, or trying delicious Hawaiian shaved ice for the first time, August is the month that reminds you that summer is ready when you are. To help you have the most memorable August ever, the team at City Cast Portland has rounded up their top picks in food, entertainment, and everything in between. Discussed in today's episode: Camp Sage PDX Sidewalk Joy Ride Pioneer Court House Square Concerts PDX Hip Hop Week Piano.Push.Play. Portland Fruit Tree Project Become a member of City Cast Portland today! Get all the details and sign up here. Who would you like to hear on City Cast Portland? Shoot us an email at portland@citycast.fm, or leave us a voicemail at 503-208-5448. Want more Portland news? Then make sure to sign up for our morning newsletter and be sure to follow us on Instagram. Looking to advertise on City Cast Portland? Check out our options for podcast and newsletter ads at citycast.fm/advertise. Learn more about the sponsors of this July 30th episode: Portland Bureau of Transportation Rose City Comic Con Pickathon

That's right, we're doing sequels now. Josh and Hayden keep the sleepers conversation going with DK and Heifetz for Part 2 of the epic. Kyler Murray (01:33) is far and away in the best situation of his career. Then they discuss several players on the Commanders (13:19), Giants (24:31), and Chargers (39;11), before the convo steers towards naming random NFL players in July and evolves into dissecting T-Pain's catalog. (00:00) Intro (01:33) Everyone at once: Kyler Murray (13:19) Norris and DK: Scary Terry (and Chig?) (20:51) Commanders, Giants, and Chargers (Oh my!) (52:05) Big, fast Packer (56:27) Scootin' Tuten Reminders: 1. LIVE SHOW COMING NEXT MONTH: We'll be in Los Angeles for a live show at The Fonda Theatre in Hollywood on Thursday, August 27. Tickets are on sale now. Get all details here: https://www.theringer.com/events. Get your tickets now! Go go go. 2. Our prayers to The Seven continue. Please gift us your wisdom for the 2026 Hottest NFL QB Rankings. Also, Craig's Millennial Bangers Month continues, and we're looking for punishment ideas for Year 2 of The Ringer Fantasy Football League. Email us: ringerfantasyfootball@gmail.com 3. Movie club is coming back— eventually. Watch 'Kingpin' to make sure you're ready to rock whenever we figure that out, with Craig's Hawaiian adventures ongoing. 4. Don't miss out on our Discord: https://discord.gg/BrcmaHFdqd 5.. Bookmark our 2026 Fantasy Football Rankings (last updated May 7): https://theringer.com/fantasy-football/2026-preseason 6. Follow us on Instagram and TikTok at @ringerfantasyfootball. DK is a huge Instagram guy, a star even. Hosts: Danny Heifetz, Danny Kelly, and Craig Horlbeck Producers: Cameron Dinwiddie, Abou Kamara, Carlos Chiriboga, Nikhil Behal, Austin Gayle Learn more about your ad choices. Visit http://podcastchoices.com/adchoices Learn more about your ad choices. Visit podcastchoices.com/adchoices

Craig is out bucket-mogging locals in Hawaii, so the show opens with Heifetz and DK arguing about what the episode is going to be about in front of Yahoo's Hayden Winks and Josh Norris. Hayden is buying everyone's Kyle Pitts (04:45) stock. Josh makes the case for Sean Payton's newest playmaker (13:41). DK is getting all hopped up over Ricky Pearsall (19:50) again. Buy the dip on megastars like Saquon Barkley (27:44) and A.J. Brown (33:11). Then, DK and Heifetz run through some emails about Usain Bolt, hot sauce, and more hockey history (47:45). (00:00) Intro (04:45) Winks: An RFFS legend (derogatory) (13:41) Norris: Craig's nemesis (19:50) DK: Hopefully healthy Ricky Pearsall (27:44) Norris: Sleeper Saquon?! (33:11) Heifetz: Swole Batman (39:43) Emails!!! Reminders: 1. LIVE SHOW COMING NEXT MONTH: We'll be in Los Angeles for a live show at The Fonda Theatre in Hollywood on Thursday, August 27. Tickets are on sale now. Get all details here: https://www.theringer.com/events. Get your tickets now! Go, go, go. 2. Our prayers to The Seven continue. Please gift us your wisdom for the 2026 Hottest NFL QB Rankings. Also, Craig's Millennial Bangers Month continues, and we're looking for punishment ideas for year two of the Ringer Fantasy Football League. Email us: mailto:ringerfantasyfootball@gmail.com 3. Movie club is coming back eventually. Watch 'Kingpin' to make sure you're ready to rock whenever we figure that out, with Craig's Hawaiian adventures ongoing. 4. Don't miss out on our Discord: https://discord.gg/BrcmaHFdqd 5. Bookmark our 2026 Fantasy Football Rankings (last updated May 7): https://theringer.com/fantasy-football/2026-preseason 6. Follow us on Instagram and TikTok at @ringerfantasyfootball. DK is a huge Instagram guy, a star even. Hosts: Danny Heifetz and Danny Kelly Guests: Hayden Winks and Josh Norris Producers: Cameron Dinwiddie, Abou Kamara, Carlos Chiriboga, Nikhil Behal, and Austin Gayle The Ringer is committed to responsible gaming. Please visit https://fanduel.com/playwithaplan to learn more about the resources and helplines. Learn more about your ad choices. Visit http://podcastchoices.com/adchoices Learn more about your ad choices. Visit podcastchoices.com/adchoices

Comedians Chloe Radcliffe (The Tonight Show, Command Z, Is This Thing On?) and Tone Bell (Survival of the Thickest, Coyote Versus Acme, Fam) join Jameela for an hour of bodies malfunctioning at the worst possible moments, in front of the worst possible audiences.Tone explains the fertility surgery that left him with an unfortunate mullet situation south of the border. Chloe dishes on the film et she left almost as toxic as the non-alcoholic beverage she was there to advertise. And a house party takes a turn for the kinky and extremely public after an under-21-year-old Tone Bell resolves not to touch the dirty ice.Plus, a Misery Loves Company confession involving a Hawaiian party, an airborne bikini bottom, and an unplanned night sleeping pantsless on a cardboard box.Chloe is on tour now and brings her solo show Cheat to Joe's Pub in New York this August. Tone is on tour now too, with a new podcast with his mom, Valentone's Day, launching in August on iHeartRadio.Follow Chloe Radcliffe at chloeradcliffe.comFollow Tone Bell at tonebell.comJameela's Substack is A Low Desire To Please, you can also find her on Instagram, TikTok and YouTube.Our consulting producer is Colin Anderson.Wrong Turns was created and produced by Jameela Jamil and Stewart Bailey. Hosted on Acast. See acast.com/privacy for more information.