Podcasts about Sung

Orchids are the botanical poster children for plant-fungi interactions. Every orchid has a close relationship with at least one species of orchid. Understanding how these relationships play out from orchid roots and across ecosystems is key to orchid understanding and conservation. Joining us to talk about the complexity of understanding these relationships is Dr. Melissa McCormick of the Smithsonian Environmental Research Center and the North American Orchid Conservation Center. Listen in and learn about what it takes to study orchids and their fungi and how that knowledge improves orchid conservation efforts. This episode was produced in part by Atis, Sarracenia, Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The market's long winning streak has investors wondering whether a crash is waiting in the wings. Don and Tom look at the S&P 500's run, the lost decade that followed the 1990s boom, and why international diversification changed that outcome dramatically.They also explain why market timing asks the impossible: missing the worst days sounds wonderful, but missing the best days can be devastating. The less theatrical answer is still the useful one—make a plan, understand your tolerance for risk, diversify broadly, and sit still.Then it's on to a near-retiree offered a portfolio stuffed with individual stocks, whether international bonds belong in a simple portfolio, why a professionally managed 20-fund portfolio is different from a DIY one, and how to rebalance when Roth and traditional accounts complicate the job.3:33 — A historic market streak—and what might follow4:31 — The lost decade diversification softened7:08 — Why timing the best and worst days fails9:22 — The boring answer: plan, diversify, be patient14:04 — Individual stocks on the eve of retirement?23:02 — A quick Celebration restaurant detour24:28 — Do international bonds belong in your portfolio?27:38 — When 20 funds are too many—or not32:24 — Rebalancing across Roth and traditional accountsQuestions? Comments? Click!

Elvis wanted Dolly Parton's biggest hit, "I Will Always Love You," before ultimately giving it to Whitney Houston.See omnystudio.com/listener for privacy information.

The Proclaimers have only had a handful of hits but they're songs that have kept expanding for nearly 40 years. And the World Cup was a reminder of how far they've reached. Craig and Charlie Reid talk to us here about first adventures onstage, talent shows, the tour circuit, the new album ‘You May Offend' and … … the moment the Proclaimers took off … first records bought in Woolworths in Fife (including the less-than-prophetic World Cup anthem Easy Easy) … the fraternal voices of the Everly Brothers … seeing Joy Division supporting Buzzcocks and feeling “the heat and charisma” of Ian Curtis … the unique way they write songs … getting royalties when your hits are sung in televised football stadiums … their first gigs playing Stones, Kinks, Clash and Pistols covers plus a Talent Show in '77 on a bill with “a lassie singing Scottish ballads and possibly a performing dog” … recording at Rockfield and the ghost of Bohemian Rhapsody ... their new video imagining John & Yoko as they might be today … how easy it is to offend Gen-Z … and hitchhiking 60 miles to see Hibs and writing ‘The Joyful Kilmarnock Blues' about it. Order ‘You May Offend' here: https://proclaimers.lnk.to/youmayoffendHelp us to keep The Longest Continuous Conversation In Rock'n'Roll going: https://www.patreon.com/wordinyourear Hosted on Acast. See acast.com/privacy for more information.

The Proclaimers have only had a handful of hits but they're songs that have kept expanding for nearly 40 years. And the World Cup was a reminder of how far they've reached. Craig and Charlie Reid talk to us here about first adventures onstage, talent shows, the tour circuit, the new album ‘You May Offend' and … … the moment the Proclaimers took off … first records bought in Woolworths in Fife (including the less-than-prophetic World Cup anthem Easy Easy) … the fraternal voices of the Everly Brothers … seeing Joy Division supporting Buzzcocks and feeling “the heat and charisma” of Ian Curtis … the unique way they write songs … getting royalties when your hits are sung in televised football stadiums … their first gigs playing Stones, Kinks, Clash and Pistols covers plus a Talent Show in '77 on a bill with “a lassie singing Scottish ballads and possibly a performing dog” … recording at Rockfield and the ghost of Bohemian Rhapsody ... their new video imagining John & Yoko as they might be today … how easy it is to offend Gen-Z … and hitchhiking 60 miles to see Hibs and writing ‘The Joyful Kilmarnock Blues' about it. Order ‘You May Offend' here: https://proclaimers.lnk.to/youmayoffendHelp us to keep The Longest Continuous Conversation In Rock'n'Roll going: https://www.patreon.com/wordinyourear Hosted on Acast. See acast.com/privacy for more information.

The genus Prunus gives us apricots, plums, cherries, and almonds, but also a ton of under appreciated plant diversity. Prunus around the world have managed to adapt to a surprising variety of environmental conditions and have a lot to teach us about plant evolution as a result. That is why they are the focus of Dr. Richie Hodel's lab. Join us for a wonderfully deep dive into how he and his colleagues are trying to understand the evolutionary secrets of this incredible genus. This episode was produced in part by Nelly, Chelz, Jbert, Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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

Monika Strubegger hat viel Erfahrung mit Planungssystemen. Einige Jahre hat sie digitale Bullet Journals entworfen und auch ihr eigener voller Alltag verlangt nach mehr als einer simplen To-Do-Liste. Weil die meisten Systeme aber entweder schön oder funktional sind - aber selten beides - hat sie Planoid entwickelt. Eine App, die so viel Spaß macht und so flexibel ist wie ein Bullet Journal, aber zugleich viel mehr Struktur und Funktionalität mitbringt, die das Planen erleichtern. Wir sprechen heute darüber, was Planoid kann, für wen es gedacht ist und wo man es bekommt. Wenn du zu den ersten gehören willst, die die neue App nutzen, setz dich schnell auf die Warteliste: https://www.planoid.app/ -- Mails an: info@zeitplanerin.de Zeitplanerin auf Discord: https://discord.gg/dRVCSYvDDV Zeitplanerin auf Instagram: https://www.instagram.com/zeitplanerin/ Zeitplanerin-Magazin abonnieren: https://zeitplanerin.de/newsletter/ Zeitplanerin auf Youtube: https://www.youtube.com/channel/UCDdAKA41HqQNuU719-7fzdw

Habitats face pressures from all sorts of threats. Illegal logging, mining, and poaching are driving extinctions, excellerating climate change, and hurting communities everywhere. How can we use laws to change this? That is what Senior Lecturer at Lancaster University and Executive Director of Conservation Litigation Dr. Jason Phelps is here to talk about. Conservation Litigation is a wonderful organization that exists to "to hold those who harm nature meaningfully responsible for remedying the harm they cause – whether to biodiversity, habitats, climate, animal welfare or human wellbeing." Join me and Dr. Phelps as we discuss this mission in detail and learn how you might be able to help. This episode was produced in part my Sarracenia, Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Für Menschen auf der Organspende-Warteliste zählt jeder Spender. Doch seit Jahren gibt es deutlich weniger Organe als benötigt. Jetzt gibt es einen neuen Anlauf für die Widerspruchslösung: Wer nicht Nein sagt, wäre grundsätzlich Spender. **********In dieser Folge mit: Moderator: Marcel Bohn Gesprächspartner: Britta Wagner, Deutschlandfunk Nova**********Ihr könnt uns auch auf diesen Kanälen folgen: TikTok und Instagram .

Keine einfache Kost, … dieses Buch! Ein Buch, geschrieben für alle, die sich über die schwindende Zahl der Kirchgänger wundern, über die immer größere Menge der Kirchenaustritte, über die immer leerer werdenden Kirchen, mehr wissen wollen. Das autobiographische Werk von Dr. Michael Rasche liest sich wie eine Offenbarung: Zeigt doch die verlogenen und bestechlichen Macht-Strukturen sowie die Doppelmoral des Klerus auf. Das Nicht-Hinsehen-Wollen bei offenkundigen Missbrauchsfällen. Die Empathielosigkeit gegenüber den Opfern. Und dabei wirft der ehemalige Priester nicht mit Dreck. Seinem Buch gab Dr. Michael Rasche den Titel „Bekenntnisse: Auflösung eines katholischen Lebens“ und es ist sehr persönlich und reflektierend. Der ehemalige katholische Priester und Philosophieprofessor schildert seinen Weg in die Kirche, den Alltag als Geistlicher und den schrittweisen, aber konsequenten Ausstieg. Michael Rasche war u.a. als Seelsorger tätig, hat Sterbende begleitet und Kinder getauft und an der Universität hat er über die Kirche geforscht, gelesen und nachgedacht. Er wollte die Kirche tiefer verstehen, ihre Lehre, ihre Strukturen, ihre Menschen, ihre Krise. Doch je mehr er verstand, desto mehr löste sich das auf, woran er geglaubt hatte. Michael Rasche entschied sich schließlich, dieses katholische Leben hinter sich zu lassen und zu heiraten. In unserem Podcast-Gespräch tauchen wir zu seinem Leben & Buch in seine katholische Geschichte ein. Eine kurze Entdeckungsreise auch zum Inneren der Kirche … Ich wünsche Ihnen Kurzweil bei unserem Gespräch. Herzlichst Ihre Claudia Lutschewitz Interessante Links zu Michael Rasche: https://michaelrasche.eu/ https://michaelrasche.eu/michael-rasche/ https://michaelrasche.eu/michael-rasche/publikationen/bekenntnisse/ https://www.youtube.com/watch?v=CAHcouIWbI0 https://www.ku.de/ppf/fachgebiete-lehrstuehle/ppf/philosophie/team/ehemalige-teammitglieder/pd-dr-dr-michael-rasche https://ku-eichstaett.academia.edu/MichaelRasche https://www.linkedin.com/in/michael-rasche/?locale=en

Bodyshaming ist Bodyshaming ist Bodyshaming völlig egal, wer hier gegen wen schlägt. Fatshaming ist schlimm, Skinnyshaming aber auch. In dieser Folge geht es genau darum. Um die Frage, ab wann es Okay ist, zurückzuschlagen, ob es wirklich schlank gegen dick und umgekehrt sein muss und ob wir vielleicht besser dran wären, wenn wir Teil der Lösung wären anstatt Teil des Problems zu sein. Habt viel Spaß an dieser Folge.

In this episode Derek (Vice Grip Garage) sits down with Sung Kang, who you may know from the Fast and Furious Franchise. Sung Kang is also a car enthusiast who has a passion for the car community. Derek and Sung discuss Sung's upcoming movie "Drifter", his childhood mentor who fueled his passion for cars, and Derek gets a special insight on what project cars Sung currently has in his garage.

- Thông báo Kết luận của Tổng Bí thư, Chủ tịch nước Tô Lâm về tổng kết thực tiễn và nghiên cứu sửa đổi, bổ sung Điều lệ Đảng - Hải Phòng thu hút hơn 3,2 tỷ USD vốn đầu tư trực tiếp nước ngoài FDI, trong 7 tháng qua. - Hôm nay, Tòa án Nhân dân Thành phố Hà Nội xét xử Chủ tịch Tập đoàn Mỹ Hạnh, với cáo buộc chiếm đoạt hơn 850 tỷ đồng của các nhà đầu tư liên quan dự án Sâm Ngọc Linh.- Gỡ thẻ vàng IUU: Đã đến lúc phải “tạo chuyển biến thật”. - Ít nhất 111 người thiệt mạng sau trận động đất 7,4 độ tại Colombia - Meta, Google và Tiktok đối mặt với cáo buộc thiết kế khiến trẻ em kéo dài thời gian dùng.

Wie komme ich als Händler:in oder Dienstleister:in zu einer passenden bargeldlosen Bezahllösung? Diese Frage stellt sich spätestens dann, wenn ein Geschäft neu eröffnet, ein bestehendes Bezahlsystem modernisiert oder ein zusätzlicher Verkaufskanal aufgebaut wird. Dirk Pieper, Teamleiter Bankenregion Nord/Ost bei VR Payment, diskutiert in dieser Folge, welche Fragen sich Händler:innen vorab stellen sollten: Wo wird verkauft? Welche Zahlarten erwarten die Kund:innen? Welche Technik passt zum Geschäft? Und wie hängen Terminal, Kasse und Onlineshop zusammen? Außerdem spricht er darüber, warum Payment immer aus Sicht der Kund:innen gedacht werden sollte, welche Rolle die Volksbanken Raiffeisenbanken bei der Beratung spielen und welche typischen Fehler sich beim Einstieg leicht vermeiden lassen. Kurz gesagt: ein praktischer Payment-Check für alle, die Bezahlen einfach, passend und zukunftsfähig aufbauen möchten. Fragen und Wünsche zum #PaymentPower Podcast gerne an: podcast@paymentpower.de

Solemnity - The Solemnity of the Assumption of The Blessed Virgin Mary –15th August 2026 Image Credit: Photo Description - https://creator.nightcafe.studio/creation/iue9MPjiBnbqTkWZp2AD/the-assumption-of-the-blessed-mary-into-heavenly-glory?ru=Paul-Evangelion Readings FIRST READING: Revelation 11:19; 12:1-6, 10 Psalm: Ps 44:10-12, 16. "The queen stands at your right hand, arrayed in gold." SECOND READING: 1 Corinthians 15:20-26 GOSPEL ACCLAMATION, (Alleluia, alleluia! Mary is taken up to heaven, and the angels of God shout for joy. Alleluia!). GOSPEL: Luke 1:39-56 ++++++++++++ Blessed Virgin Mary, assumed body and soul into heaven, pray for us—so that we may be made worthy of Christ's sure promises. Amen. ++++ References: Fr Paul W. Kelly https://aleteia.org/2019/08/14/beautiful-thoughts-from-the-saints-on-marys-death-and-assumption also see- https://www.ncregister.com/blog/the-assumption-of-mary-12-things-to-know-and-share-27jd571n?amp Image Credit: Photo Description - https://creator.nightcafe.studio/creation/iue9MPjiBnbqTkWZp2AD/the-assumption-of-the-blessed-mary-into-heavenly-glory?ru=Paul-Evangelion +++++++++ On this special (Solemnity of) the Assumption Of Mary Brothers and sisters, let us acknowledge our sins and so prepare ourselves to celebrate the sacred mysteries. Lord Jesus, you glorified your mother, the ark of God. Lord have mercy. You raised the Blessed Virgin Mary, body and soul, into heavenly glory. Christ have mercy. Mary's assumption is the first fruits of the victory you won for the human race. Lord have mercy. May almighty God have mercy on us, forgive us our sins, and bring us to everlasting life. Amen. ++++++++++++++++++++++++++ PREFACE: Glory of Mary assumed into heaven (solemnity) Euch.Prayer: 3 Memorial Acclamation 1. We proclaim your Death, O Lord, and profess your Resurrection until you come again. ++++++++ Archive of homilies and reflections: http://homilycatholic.blogspot.com.au To contact Fr. Paul, please email: paulwkelly68@gmail.com +++++++++++++++++++++++++++++ To listen to the weekly homily audio podcast, please click this link here: https://soundcloud.com/user-633212303/tracks Further information relating to the audio productions linked to this Blog: "Faith, Hope and Love - Christian worship and reflection" - Led by Rev Paul Kelly Prayers and chants — Roman Missal, 3rd edition, © 2010, The International Commission on English in the liturgy. (ICEL) Scriptures - New Revised Standard Version: © 1989, and 2009 by the NCC-USA. (National Council of Churches of Christ - USA) "The Psalms" ©1963, 2009, The Grail - Collins Publishers. Prayers of the Faithful - " Together we pray" by Robert Borg. E.J. Dwyer, Publishers (1993). (Sydney, Australia). Sung "Mass In Honour of St. Ralph Sherwin" - By Jeffrey M. Ostrowski. The Gloria. Copyright © 2011 ccwatershed.org. Hymn – "Rainfall – Mother of Mercy." Music by Paul W. Kelly. 1994, 2021. Words adapted by Paul W. Kelly, based on the Traditional Salve Regina Hymn. Arranged & with additional lyrics by Stefan Kelk. 2021. https://www.airgigs.com/user/stefankelk Marian Hymn – "Whom Earth and Sea and Sky Proclaim." Traditional 6th Century Hymn. Melody: Bartholomäus Gesius (d.1613). #376 - Brébeuf Hymnal. From https://www.ccwatershed.org/hymn/ Marian Hymn - "Salve Regina Mater Misericordiae." (Traditional 11th Century). Melody: Mainz (1712), Hymn #783 - Brébeuf Hymnal. From https://www.ccwatershed.org/hymn/ Magnificat (Praise and sing to God) - Music by Paul W. Kelly. (1985, 2010, 2021), Lyrics inspired by Magnificat (Luke 1:46–55). Music arranged, with adapted lyrics by Stefan de Freyne Kelk. [https://www.airgigs.com/user/stefankelk] July 1, 2021. [ Production - KER - 2026] May God bless and keep you. ++++++++++++++++++++++++++++

Moritz, Sebastian www.deutschlandfunk.de, Wirtschaft am Mittag

Jesus Is All That I Need, Sung By Rosette Phillips

Twentieth Sunday in Ordinary Time. Year A - Sunday, August 16, 2026 (EPISODE-598) Readings for Sunday, August 16, 2026 - Twentieth Sunday in Ordinary Time. Year A FIRST READING: Isa 56:1, 6-7 Ps 67:2-3, 5, 6+8. "O God, let all the nations praise you" SECOND READING: Rom 11:13-15, 29-32 GOSPEL ACCLAMATION (cf. Matt 4:23). Alleluia, alleluia! Jesus preached the good news of the Kingdom. And healed all who were sick. GOSPEL: Matt 15:21-28 Image Credit- https://creator.nightcafe.studio/creation/xHU2RyTN1BccBNwTzuTv/on-the-outskirts-of-a-town-a-canaanite-woman-begs-jesus-to-heal-family-member-who-is-ill-in-the-far-?ru=Paul-Evangelion +++++ References: Fr Paul W. Kelly MISSION 2000 – PRAYING SCRIPTURE IN A CONTEMPORARY WAY. YEAR A. BY MARK LINK S.J. Image Credit- https://creator.nightcafe.studio/creation/xHU2RyTN1BccBNwTzuTv/on-the-outskirts-of-a-town-a-canaanite-woman-begs-jesus-to-heal-family-member-who-is-ill-in-the-far-?ru=Paul-Evangelion +++ Archive of homilies and reflections: http://homilycatholic.blogspot.com.au To contact Fr. Paul, please email: paulwkelly68@gmail.com To listen to the weekly homily audio podcast, please click this link here: https://soundcloud.com/user-633212303/tracks Further information relating to the audio productions linked to this Blog: "Faith, Hope and Love - Christian worship and reflection" - Led by Rev Paul Kelly Prayers and chants — Roman Missal, 3rd edition, © 2010, The International Commission on English in the liturgy. (ICEL) Scriptures - New Revised Standard Version: © 1989, and 2009 by the NCC-USA. (National Council of Churches of Christ - USA) "The Psalms" ©1963, 2009, The Grail - Collins publishers. Prayers of the Faithful - " Together we pray" by Robert Borg'. E.J. Dwyer, Publishers, (1993) . (Sydney Australia). Sung "Mass In Honour of St. Ralph Sherwin" - By Jeffrey M. Ostrowski. The Gloria, Copyright © 2011 ccwatershed.org. - "Faith, Hope and Love" theme hymn - in memory of William John Kelly - Inspired by 1 Corinthians 13:1-13. Music by Paul W. Kelly. Arranged and sung, with additional lyrics by Stefan Kelk. 2019. "Quiet Time." Instrumental Reflection music. Written by Paul W Kelly. 1988, 2007. & This arrangement: Stefan Kelk, 2020. - "Today I Arise" - For Trisha J Kelly. Original words and music by Paul W. Kelly. Inspired by St Patrick's Prayer. Arranged and sung, with additional lyrics by Stefan Kelk. 2019. Sound Engineering and editing - P.W. Kelly. Microphones: - Shure MV5 Digital Condenser (USB) Editing equipment: NCH software - MixPad Multitrack Studio Recording Software NCH – WavePad Audio Editing Software. Masters Edition v 12.44 Sound Processing: iZotope RX 6 Audio Editor [Production - KER - 2026] May God bless and keep you. +++++++++++++++++++++++++++++

Puerto Rico may not be a very large island but its forests certainly are complex. Historically, Puerto Rico lost nearly 95% of its forest cover due to human activities but humans are also playing an important role in how they grow back. Understanding how historical land use and human management have influenced the regrowth of Puerto Rico's forests has been a major part of Dr. Ariel Lugo's scientific career. From naturalized and invasive species to the impacts of hurricanes and community empowerment, Dr. Lugo takes us on a deep dive into the complex world of the forests of Puerto Rico. This episode was produced in part by Nelly, Chelz, Jbert, Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

"Who is the man that adjudicates the law? Who is the man who issues the verdict? Who is the man who administers the sentence? That man, of course, is Dr-edd!" -Sung as a 50's radio jingle.  Spotify: https://open.spotify.com/show/46c3C827AUwbjV5oEsrhon?si=c191cad0e73d40ee Apple Podcasts: https://podcasts.apple.com/us/podcast/pod-of-dreams/id1611180213

- Tổng Bí thư, Chủ tịch nước Tô Lâm chủ trì phiên họp Ban Chỉ đạo về tổng kết thực tiễn, và nghiên cứu sửa đổi, bổ sung Điều lệ Đảng.- Sáng nay, các đại biểu Quốc hội thảo luận ở Tổ về: Dự án Luật Hòa giải ở cơ sở (sửa đổi); Dự án Luật sửa đổi, bổ sung một số điều của Luật Xuất bản và Dự án Luật sửa đổi, bổ sung một số điều của Luật Người lao động Việt Nam đi làm việc ở nước ngoài theo hợp đồng.- Hội nghị Ngoại giao lần thứ 33 tiếp tục chương trình với phiên họp toàn thể về đối ngoại Đảng và đối ngoại nhân dân.- Bộ Giáo dục và Đào tạo quyết định tổ chức thi lại tất cả các môn đối với thí sinh tại Điểm thi Trường Trung học Phổ thông Chuyên Tuyên Quang.- Mưa lớn kéo dài gây sạt lở, ảnh hưởng tới giao thông và đời sống người dân nhiều địa phương khu vực Tây Bắc.- Giới chức Mỹ cho biết đang tiến gần tới một thỏa thuận với Iran nhằm mở lại eo biển Hormuz, bày tỏ kỳ vọng các bên có thể đạt được đồng thuận ngay trong ngày hôm nay. Giá dầu thế giới lập tức hạ nhiệt. - Các tập đoàn công nghệ cam kết đầu tư hơn 1.000 tỷ USD cho hạ tầng trí tuệ nhân tạo AI.

Alte Kühlschränke, zerschlissene Kleidung, dazwischen stinkender Unrat: Die Stadt Essen prüft, ob sie mit Videoüberwachung gegen wilden Müll vorgehen wird. Ist das der richtige Schritt? Oder geht das zu weit? Diskussion mit Kriminologin Gina Rosa Wollinger und Moderatorin Carolin Courts Von WDR 5.

Epiphytes of one kind or another are ubiquitous components of ecosystems around the globe, but we still know little about what they are doing up in the forest canopy. For instance, how do epiphytes influence the water cycle of various ecosystems? Figuring out how epiphytes interact with the water cycle can help us refine models of drought, climate change, and so much more. Joining us to talk about this is Dr. John Van Stan who you may remember from Episode 457 of the In Defense of Plants Podcast. He and his colleagues are working on refining the concept of the "Epiphyte Area Index" that will help us better understand a model vital ecosystem processes such as hydrology. This episode was produced in part by Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Joon Sung Park is the Founder and CEO of Simile, the AI simulation company building foundation models of human behaviour; allowing companies to test how real people may think, decide and act before making a decision in the real world. Simile has now raised $300 million in total, including a $200 million Series B announced last week at a $2 billion valuation, led by Greenoaks and Index Ventures. AGENDA: 00:00 We Will Pay $100M for a Single Query on Some Models 10:00 Why Stock Markets May Not Exist in 5 Years Time 15:00 The Best Companies All Have Unique Data Acquisition Strategies 19:00 The Best AI Companies Have Clear and Fast Reward Functions 24:00 How We Sign Fortune 500 Companies for $10M Contracts in Weeks 32:00 Does Similie Kill Kalshi and Polymarket? Prediction vs Changing the Future 42:00 Inside Similie's $300M Raise; What Every Founder Needs to Know    

- Kỳ họp không thường lệ thứ Nhất, Quốc hội khóa XVI khai mạc ngày 3/8 này sẽ xem xét, quyết định 33 nội dung.- Điện gió ngoài khơi: Động lực mới hiện thực hóa khát vọng Quốc gia biển mạnh.- Ngành Dệt may Việt Nam vượt áp lực, hướng tới mục tiêu xuất khẩu 48 tỷ USD trong năm nay.- Mỹ đạt thỏa thuận giải giáp Hamas, hướng tới chấm dứt xung đột tại Gaza.- Truyền thông và người dân Nhật Bản ca ngợi hình ảnh 5 thanh niên Việt Nam cứu người trong thảm họa động đất tại Kumamoto.

Je bedrohlicher die Hitze, desto lauter wird der Ruf nach einer flächendeckenden Versorgung mit Klimaanlagen. Davon ist Deutschland noch weit entfernt. Die Forschung an effektiveren, umweltfreundlicheren Systemen läuft auf Hochtouren – doch gibt es keine anderen Möglichkeiten, für Kühlung zu sorgen?

Welcome to Madang.Madang is the outdoor living room of the world. Here, we invite you to sit and tune into unreserved, remarkable conversations with renowned authors, leaders, public figures, and scholars on religion, culture, and everything in between.This is the 62nd episode of Madang Podcast hosted by Baptist News Global featuring Drs. Sung Uk Lim and Amy Lindeman Allen. Sung Uk Lim is Associate Professor of New Testament at the United Graduate School of Theology, Yonsei University, South Korea. He is a research fellow in the Department of Old and New Testament Studies at the University of the Free State. He serves on the editorial boards of the Journal of Biblical Literature, Horizons in Biblical Theology, and Political Theology and is chief editor of Korean New Testament Studies. He is the author of Otherness and Identity in the Gospel of John, Amy Lindeman Allen is Indiana Christian Church Associate Professor of New Testament at Christian Theological Seminary. She is on the editorial board of the Journal of Childhood and Religion. She is the author of For Theirs is the Kingdom, The Gifts They Bring, and coeditor of the forthcoming volume New Testament Families in Global Perspectives. They are the coauthor of Parenting Beyond Boundaries in Mark's Gospel. On this episode of Madang Podcast hosted by Baptist News Global, Lim, Allen and I talk about their new book, Parenting Beyond Boundaries in Mark's Gospel. We discuss Markan parenting, ethnoracial identity, collaborative parenting, othering, Syrophoenician mother, and so much more.Listen to Madang Podcast on Spotify, Apple, Facebook Reels, or wherever podcasts are streamed.I am grateful to the sponsors of this Madang Podcast episode.Eerdmans PublishingI am so grateful to Eerdmans for sponsoring this episode of Madang Podcast. Please get your copy of Parenting Beyond Boundaries in Mark's Gospel by Lim and Allen today. It is a part of Eerdmans' biblical studies program, which serves the academy, pastors, and churchgoers with the highest quality of scholarship. It is a wonderful read of Mark and parenting, and this book will open your eyes to the bible. Please check out other excellent books from Eerdmans by visiting www.eerdmans.com2. Please join me at the Wild Goose Festival. I will be giving a talk on When God Became White and Christian Nationalism, Lisa Sharon Harper and I will be discussing how race, gender, history, and power have shaped both the church and society. I will also do a live Madang Podcast with Thomas Jay Oord. Use discount code “A-GK” to get 50.00 off registration. Go to www.wildgoosefestival.org

主題：AI如何協助牙醫診治胡美健、Dr Jill Sung DDS

Die Rolle der Religion wird bei der Betrachtung terroristischer Taten zu oft unterschätzt. Und das Konzept der "radikalen Erlösung" außer Acht gelassen, meint Beatrice de Graaf, die zu den Themen Sicherheit und Radikalisierung forscht. Beatrice de Graaf ist Fakultätsprofessorin auf dem Lehrstuhl Geschichte der Internationalen Beziehungen an der Universität Utrecht. Ihren Vortrag mit dem Titel "Was Terroristen hoffen", hat sie am 9. Juni 2026 in der Aula der Universität Bamberg im Rahmen der Hegel-Woche 2026 gehalten. Diese stand unter dem Motto: Die Fanatiker – überall? Wir alle? **********+++ Deutschlandfunk Nova +++ Hörsaal +++ Deutschlandradio +++ Wissenschaft +++ Forschung +++ Vortrag +++ Geschichtswissenschaft +++ Zeitgeschichte +++ Terror +++ Terrorismus +++ Religion +++ Radikalisierung +++ Radikalität +++ Dschihadismus +++ Dschihad +++ Islamismus +++ Extremismus +++ Erlösung +++ The Radical Redemption Model +++ **********In dieser Folge mit: Moderation: Katja Weber Vortragende: Beatrice de Graaf, Fakultätsprofessorin auf dem Lehrstuhl Geschichte der Internationalen Beziehungen an der Universität Utrecht**********Ihr hört in diesem Hörsaal:2:58 - Beginn des Vortrages: Vorbemerkungen7:32 - Radikalisierung, Extremismus, Terrorismus - und eine Leerstelle13:37 - Welche Rolle spielt Religion bei der Radikalisierung?32:19 - Erlösung im nicht-religiös grundierten Terrorismus. Und gamifiziert auf social media41:40 - Erlösung und Geopolitik**********Quellen aus der Folge:Beatrice de Graaf: The Radical Redemption Model - Terrorist Beliefs and Narratives. New York, 2025; Online Edition, Oxford Academic, 21. November 2024.Beatrice de Graaf zu religiösen Erlösungshoffnungen von Politikern und Terroristen in "Tag für Tag", dem Religionsmagazin im Deutschlandfunk**********Mehr zum Thema bei Deutschlandfunk Nova:Dschihadismus: Junge Männer im Sog der SubkulturDesinformation: Wie sie unseren Umgang mit Wissen ruiniertRechtsextremismus: Die Vordenker der Neuen Rechten**********Den Artikel zum Stück findet ihr hier.**********Ihr könnt uns auch auf diesen Kanälen folgen: TikTok und Instagram .

Mehr Klimaanlagen im Hitzesommer: Immer mehr holen sich ein Gerät in die Wohnung. Drohen Stromengpässe, wenn ihr Verbrauch steigt? Wie sehr heizen sie Städte auf? Klar ist: sie sind nur ein kleiner Beitrag zum Hitzeschutz. Ein Podcast mit Jan Kerckhoff.

Rare plants aren't rare for the same reasons. They aren't even rare at different points in time. Figuring out the causes and consequences of plant rarity on a species by species basis is both very hard and very important. Ecologists have to get creative with time, money, and other resources. Join me and Dr. Varina Crisfield as we explore the topic of plant rarity in Canada's boreal forests. This episode was produced in part by Jbert, Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On The Wire With the August 3rd MLB trade deadline bearing down, Adam and Kevin work through an unusually heavy injury news day. The back half is built around FAAB strategy for the stretch run: where to spend on power, speed, and volume/ratio pitching with only eight FAAB Sundays left, plus a reminder to raise your risk tolerance the further back you are in the standings. Welcome and News (0:00:00–0:20:00) Cody Bellinger exits Saturday's game with an apparent leg injury sliding into second base Players Discussed: Cody Bellinger, Max Schuemann, Jasson Domínguez, Spencer Jones Dodgers expect Enrique Hernández and Edwin Díaz back from the IL this week Players Discussed: Enrique Hernández, Edwin Díaz, Mookie Betts, Tommy Edman, Kyle Tucker, Teoscar Hernández, Max Muncy Connor Prielipp rejoins the Twins rotation for Sunday's start Players Discussed: Connor Prielipp, Joe Ryan, Taj Bradley, Zebby Matthews Rangers place Josh Jung on the IL, recall Josh Smith Players Discussed: Josh Jung, Josh Smith, Ezequiel Duran Astros lose Spencer Arrighetti to the IL, call up Bryan King Players Discussed: Spencer Arrighetti, Bryan King, Ethan Pecko, Ronel Blanco More News (0:20:00–0:50:00) Mets place Juan Soto on the IL with a calf strain Players Discussed: Juan Soto, Jorge Polanco, Brett Baty, Luis Robert Jr. Jr., Carson Benge, Eric Wagaman, Jared Young Rays activate Steven Matz, option Chris Roycroft to Triple-A Players Discussed: Steven Matz, Chris Roycroft, Griffin Jax, Ian Seymour, Shane McClanahan, Nick Martinez, Drew Rasmussen Addison Barger done for the season after elbow surgery Players Discussed: Addison Barger Cody Bellinger's injury confirmed as a hamstring strain Players Discussed: Cody Bellinger Matt McLain heads out on a rehab assignment for the Reds Players Discussed: Matt McLain, Edwin Arroyo, Ke'Bryan Hayes, Eugenio Suárez Brewers get David Hamilton back, muddying the infield timeshare Players Discussed: David Hamilton, Cooper Pratt, Joey Ortiz, Braden Shewmake Orioles' catching situation worsens as Samuel Basallo joins Rutschman on the IL Players Discussed: Adley Rutschman, Samuel Basallo, Jonathan Rodriguez, Chadwick Tromp, Sam Huff Athletics lose J.T. Ginn to the IL, recall Mason Barnett Players Discussed: J.T. Ginn, Mason Barnett José Ramírez activated, Khalil Watson optioned back to Triple-A Players Discussed: José Ramírez, Khalil Watson, Daniel Schneemann, Angel Martínez, Gabriel Arias Wyatt Langford exits Saturday's game, awaiting X-ray results Players Discussed: Wyatt Langford, Alejandro Osuna Atlanta gets Martín Pérez back, options JR Ritchie Players Discussed: Martín Pérez, JR Ritchie, Bryce Elder Royals trade for Nate Pearson, place Bobby Witt Jr.. on the IL Players Discussed: Nate Pearson, Max Martin, Bobby Witt Jr.., Andrew Velazquez, Nick Loftin, Tyler Tolbert, Konnor Griffin, Josh Rojas Tigers place Jack Flaherty on the IL, recall Ty Madden Players Discussed: Jack Flaherty, Ty Madden, Keider Montero, Troy Melton, Tarik Skubal, Casey Mize, Framber Valdez FAAB Recommendations, Hitters (0:50:00–1:10:00) Power (RBI, HR) Players Discussed: Christian Encarnacion-Strand, Nelson Velázquez, Ty France, Tommy White, Nick Loftin Speed (SB, R) Players Discussed: Anthony Seigler, David Hamilton, Jim Jarvis, Victor Robles, Dane Myers, Leody Taveras, Taylor Walls, Mauricio Dubón, Brewer Hicklen, Mike Yastrzemski, Ronald Acuña Jr. Jr. Opportunity (AB, AVG) Players Discussed: Spencer Horwitz, Jake Mangum, Konnor Griffin, Jake Cronenworth, Sung-mun Song FAAB Recommendations, Pitchers (1:10:00–1:20:00) Volume (Wins, Ks) Players Discussed: Tyler Mahle, J.P. Sears, Tomoyuki Sugano, Brady Singer, Colin Rea, David Peterson, Carson Whisenhunt, Kohl Drake, Luinder Avila Ratios (ERA, WHIP) Players Discussed: Dylan Dodd Closers (Saves) Players Discussed: Carlos Estévez, Ryan Zeferjahn, Andrés Muñoz, Dennis Santana Wild Card and Closing Advice (1:20:00–1:30:00) Joshua Baez headlines the stash watch list as the trade deadline nears, with Pedro Ramirez already cutting into playing time in Chicago Players Discussed: Joshua Baez, Kristian Campbell, Pedro Ramirez, Michael Conforto, James Triantos Spend FAAB, raise risk Join Our Discord & Support The Show: PL+ | PL Pro - Get 15% off Yearly with code PODCASTProud member of the Pitcher List Fantasy Baseball Podcast Network Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Feldmann, Milena www.deutschlandfunk.de, Deutschland heute

VOV1 - Chủ tịch Quốc hội Trần Thanh Mẫn vừa ký ban hành Pháp lệnh sửa đổi, bổ sung một số điều của Pháp lệnh Ưu đãi người có công với cách mạng. Pháp lệnh sẽ có hiệu lực từ ngày 1/1/2027.Pháp lệnh sửa đổi, bổ sung một số điều của Pháp lệnh Ưu đãi người có công với cách mạng vừa ban hành có nhiều chính sách mới hết sức quan trọng, thể hiện trách nhiệm, sự quan tâm, tri ân sâu sắc của Đảng, Nhà nước, nhân dân đối với những người đã hy sinh xương máu bảo vệ nền độc lập, tự do cho Tổ quốc và xây dựng, bảo vệ Tổ quốc, làm nghĩa vụ quốc tế. Một trong những nội dung quan trọng của Pháp lệnh là sửa đổi quy định về công nhận liệt sĩ đối với thương binh hoặc người hưởng chính sách như thương binh chết do vết thương tái phát. Cùng với đó là bổ sung đối tượng được công nhận là người có công và chế độ, chính sách ưu đãi người có công với cách mạng - Nhiều điểm mới trong Pháp lệnh sửa đổi, bổ sung một số điều của Pháp lệnh Ưu đãi người có công với cách mạng vừa ban hành. Pháp lệnh có hiệu lực từ ngày 1/1/2027.-  Các tỉnh, thành phố dự kiến sẽ điều chuyển và sắp xếp lại trên 20 nghìn cán bộ quản lý giáo dục, trong đó hơn một nửa sẽ được bố trí làm giáo viên trực tiếp đứng lớp- Người dân trong diện giải tỏa để phục vụ cải tạo rạch Văn Thánh ở TP.HCM: mừng vì môi trường sạch nhưng lo vì sinh kế bấp bênh tại nơi ở mới. - Mưa lớn ở khu vực xã Mường Than của tỉnh Lai Châu tiếp diễn khiến Quốc lộ 32 và Quốc lộ 279 đoạn qua đây tiếp tục bị chia cắt.- Hạ viện Mỹ thông qua nghị quyết hạn chế quyền tiến hành chiến dịch quân sự tại Iran-  Ngân hàng Trung ương Châu Âu giữ nguyên các mức lãi suất chủ chốt, đồng thời cảnh báo "gián đoạn nguồn cung năng lượng" tái diễnChủ tịch Quốc hội Trần Thanh Mẫn

Cloning may seem like a futuristic topic largely reserved for science fiction but plants are doing it all the time. Clonality is one of the many aspects that can make plant species successful across the landscape. It can also greatly impact the way we approach plant conservation efforts. Despite the importance of cloning in plants, we still know very little about how its influences plant population dynamics. Which plants are clonal? How long can clones live? How does cloning influence pollination? These questions and more are what drive people like Dr. Ashley Morris. Join us as we look at why she is so fascinated by cloning and conservation in plants. This episode was produced in part by Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Immer mehr Jugendämter sind überfordert. Es kommt zu Fehlern in der Jugendbetreuung. Werden Jugendliche gar zu Tätern, werden in der öffentlichen Debatte schnell Forderungen laut, diese Kinder und Jugendlichen „wegzusperren“. Was hilft stattdessen und was nicht?

Daisy trees, petrels, and pink iguanas... The Galápagos Islands are home to unique endemic species found nowhere else in the world. Sadly, the ecosystems that support them are under threat from invasive species and outright destruction. If something isn't done to turn the tide, species will be lost forever. Luckily, organizations such as Jocotoco Conservation Foundation are hard at work slowing and hopefully reversing this trend. Join me and Juan Alejo Chávez as we discuss the efforts to restore daisy trees (Scalesia pedunculata) and other native plants that comprise this unique forest ecosystem. This episode was produced in part by Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Social Media kann süchtig machen. Ein Jugendverbot ist trotzdem keine gute Idee, erklärt unser Redakteur Hagen Terschüren. Außerdem: Die Rückkehr der Chatkontrolle und was an den geplanten Änderungen am Informationsfreiheitsgesetz problematisch ist. Marcus Richter, Aida Baghernejad, Hagen Terschüren, Annabell Brockhues, Dennis K www.deutschlandfunkkultur.de, Breitband

A sermon preached by Rev. Ginger E. Gaines-Cirelli with Foundry UMC, June 28, 2026, fifth Sunday after Pentecost. “We Know Who We Are” series. ​​​ Texts: Romans 6:3-11; Luke 24:28-35​​​​   Humans are storytelling creatures. Our stories help us understand who we are and how life works. They teach us how people have lived and thought and loved and struggled through the ages. They give us a framework for how to be in relationship. Humans are also ritual-making creatures. Just as the stories we tell shape our sense of identity and reality, so too rituals shape our actions and the way we embody our values. Every culture has stories that shape human imagination and understanding. Every culture has rituals that shape human desires and loyalties. While powerful, formative, and often positive, we know stories can be told in ways that distort truth and do harm. And rituals can include habits that are unhealthy or destructive to persons or communities. Consumerism tells a certain story and has its rituals. White Christian Nationalism tells a certain story and has its rituals. Political tribes tell their own stories and have their rituals. Social media…well… All these things and more tell us who we are and what matters most. Christians also tell a story and practice rituals—it's a story of God's grace, mercy, and liberating love. And the rituals? Water. Bread. Cup. A few weeks ago, as we began focusing on the United Methodist way of living the Christian story, we thought together about the means of grace and the practices that shape us. We reflected on how we are all being formed by something. The question is: What is forming us? What stories, rituals, and practices are shaping our imagination, our desires, and our values? The sacraments are among the primary ways God shapes us into the people we are called to be. And because these rituals are so familiar, it is easy to participate in them without ever stopping to ask what they mean. Why do we call themsacraments? What do United Methodists actually believe is happening when we baptize someone or come to the Lord's Table? These are important questions to ask. Because if we are going to know who we are, then we need to understand the practices that have formed Christians for centuries and the theology that stands behind them. Let's begin with the word sacrament itself. United Methodists define a sacrament as “an outward and visible sign of an inward and spiritual grace.” In other words, sacraments are the places where the invisible grace of God takes visible form. I could reasonably argue that, with that definition, every act of beauty, love, tenderness, and justice are sacramental acts. But the two liturgical sacraments recognized by our tradition are those Jesus specifically commanded his followers to practice in the stories recorded in scripture: baptism and communion. Here again, our rituals are embedded in our stories and our stories are embedded in our rituals. Stories and rituals belong together. In many cultures, stories are not merely told. They are enacted. Danced. Sung. The story becomes part of the people through repeated actions that connect memory to the body. Christians do something similar. We do not merely tell the story of God's grace.We enact it. We embody it. In baptism, we tell not just one story, but many: the story of dying and rising with Christ, of being washed by grace and mercy, and of being claimed and named as God's beloved and part of the Body of Christ. The beauty of sacrament is that it can hold multiple meanings at once. And we don't simply talk about those things. We pour water. We listen for the sound of the flow. We feel the water on our skin. In communion, we tell the stories of Christ's sacrificial, self-giving love, of God's provision and faithfulness; we reaffirm the story of God's mercy—of forgiveness, reconciliation, and belonging. But we do not simply describe those things. We break bread. We share the cup. The story is embedded in these rituals. The rituals carry the story. And over time, the story carried by the ritual shapes the people who practice it. One United Methodist resource describes the sacraments as God's “show and tell.” I love that image. If you've ever watched a child during show and tell, you know that simply describing something isn't the same as holding it in your hands. God doesn't simply tell us that grace is real. God shows us. Think about it: God showed us by drawing near in flesh, in Jesus of Nazareth. Andthat is just the most extraordinary way God has revealed a willingness to work through physical things. The God who came to us in a body still meets us through tangible signs: Water. Bread. Cup. So let's linger with some of the stories our sacraments tell. First, baptism tells the story of grace that comes before our response. In many churches, baptism is understood primarily as a public declaration of faith—as a person's decision to accept God's love and to follow Christ. There is truth in that. But United Methodists begin somewhere else. We begin with God's action. Before we choose God, God chooses us. Before we respond to grace, grace is already at work in our lives. Before we seek God, God is seeking us. That conviction lies behind one of the practices that often raises questions: infant baptism. Why do we baptize babies who cannot yet profess faith for themselves?Because baptism is first and foremost a story about God's grace, not our achievement. It is a visible reminder that grace comes first. Before a child can speak a word, God has already spoken a word over them: Beloved. Of course, each person must eventually respond to God's grace for themselves. But regardless of age, baptism reminds us that the first move always belongs to God. Baptism also tells the story of belonging—to God and to one another. In baptism, God claims me. And God joins us. When we baptize someone, we are not simply celebrating an individual spiritual experience or handing someone a ticket to heaven. We are welcoming a new member into the Body of Christ. That is why the congregation makes promises. We promise to nurture, encourage, teach, pray, and journey alongside one another. Baptism tells us who we are—beloved children of God. And baptism tells us who we are together—a people, a community, a body, a family bound together by grace and by a shared story. Baptism also tells the stories of forgiveness and liberation. The waters are a sign of God's mercy and cleansing, assuring us that nothing we have done or will do lies beyond God's capacity to forgive, that we are not bound to the worst things in our past or present, but freed for better things in our future. And the waters tell yet another story. Paul tells us in Romans that in baptism we are united with Christ in his death and resurrection. We die to an old way of being.We are raised into new life. Baptism is not simply about where we have been. It is about who we are becoming. It's about claiming the freedom and power God gives us to live a new kind of life. So baptism is the sacrament that initiates us into the Christian life both as persons and community. And Communion is the sacrament that nourishes us along the wayand continually reconnects us to Christ, to one another, and to our neighbors. We call it the Lord's Supper because Christ is the host. We call it Holy Communion because we are united with God and one another. We call it Eucharist (from the Greek word for thanksgiving) because it is an act of thanksgiving. But perhaps the most important thing to understand is that communion is more than remembering a dead prophet. It is being present with a living Christ. Certainly, we remember Jesus at the table. But United Methodists believe something more is happening—that communion is more than merely symbolic. We believe Christ is truly present. We call it a holy mystery precisely because we don't claim to fully understand how. But we trust that Christ meets us here and offers grace through the sacramental meal. Once again, as with Baptism, the sacrament is both personal and communal. At thetable Christ invites, forgives, and nourishes me. At the table Christ forms, nourishes, and sends us. Personally, we come seeking grace, forgiveness, strength, comfort, courage, and renewal. But communion is never merely about “me and Jesus.” Paul reminds us in 1 Corinthians 10 that because there is one bread, we who are many are one body. At the table we practice belonging to one another. We remember that our lives are bound together. We learn gratitude, humility, reconciliation, and love. The table does not simply feed individuals. It forms a community. This conviction also helps explain why United Methodists practice an open table.You do not have to be a member of this church, or a United Methodist, or to have everything figured out, or even to be baptized. The invitation belongs to Christ our host. And because grace comes before worthiness, Christ's table remains open. I will never forget the moment when a committed atheist who had been attendingthe congregation I served with her fiancé for more than a year, presented herself in line to receive the elements saying, “I have no idea why I am here, but I just felt that I needed to come.” People might encounter Christ for the first time in the midst of the gathered Body of Christ around the Table. Because sometimes people are moved to respond before they have language for what is happening. Sometimes grace reaches us before we understand it. John Wesley strongly encouraged frequent communion because he believed it was one of God's most powerful means of grace. Early American Methodists often received communion only quarterly because circuit-riding preachers and ordained elders were scarce. What began as necessity became habit. The church I grew up in still practiced quarterly communion! But in recent decades we have reclaimed Wesley's conviction that we need all the sacramental grace we can get! And so we return again and again to water, bread, and cup. Simple, ordinary things.Yet through them the story of God's grace is told, embodied, and practiced.Through them God reminds us who we are. Through them God reminds us whose we are. And through them God continues to shape us—both as individuals and as a community—into the likeness of Christ. Because over time, the stories embodied in our rituals become the lives we learn to lead. Thanks be to God. Thanks be to God.

Dragonflies and damselflies are voracious aerial predators that help keep populations of other insects like mosquitoes in check. These amazing insects also require aquatic habitats to complete their life cycles. Simply put, without wetlands we don't have dragonflies and damselflies. However, not all wetlands will do. My guest Dr. Mary Ann Perron is here to discuss why native aquatic plants are absolutely essential to the success of these insects. Join us as we discuss what makes a good wetland for dragonflies and damselflies and learn what you can do to help them out in your own community! This episode was produced in part by Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Schwarz-Rot hat ein Reformpaket. Doch wird es die Wirtschaft in Schwung bringen? Wenn, dann wegen eines ungewöhnlichen Effekts.

Disturbances from fire and wind to insects and humans play a huge role in forest dynamics through time. Throw in the impacts of climate change, and these dynamics only get more complicated. Understanding how disturbances interact and influence how forests change through time is of great interest to people from all walks of life and that is why people like Dr. Kenneth Anyomi are hard at work studying them. Join us for a deep dive on how disturbances influence forest succession and the lives that depend on it. This episode was produced in part by Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  THE SHOW NOTES   Song, Sung, Blech Intro An Australian Guitar?  Interesting Fauna      - Peruvian Ghost Dog (Short Eared)           Atelocynus microtis Mortimer Decides to Call In Again      Ever Once More Damian Handzy's Facts That'll Fuck Y'up      - Libraries, Point Nemo, Polar Bears        & Grizzlies, Wasabi, more… Earth, Wind & Fire doc Religious Moron of the Week      - Church of LDS Tell Me Something Good      - Art Vending Machine Show close .........................   MENTIONED IN THE SHOW   GEO SOLO Friday July 3rd, 4:30 - 6:30 1812 Piano Bar & Lounge 1812 W Allen St, Allentown, PA 18104 Something Good .........................   UPCOMING SCHEDULE   GEO SOLOFriday July 3rd, 4:30 - 6:30 1812 Piano Bar & Lounge 1812 W Allen St, Allentown, PA 18104 Geo & SGU: Not-A-Con Sydney / NZ Skeptics Conference July 2026 Australian & New Zealand George Hrab solo at MUSIKFESTAugust 6th 58:00 pm Lyrikplatz The George Hraband at MUSIKFESTAugust 9th 5:30–6:30Liederplatz Episode 1000 of The Geologic Podcast Saturday, January 9, 2027 The Icehouse, Bethlehem, PA .........................   SUBSCRIPTION INTERFACE   You can now find our subscription page at GeorgeHrab.com at this link. Many thanks to the sage Evo Terra for his assistance. .........................   Get George's Music Here  https://georgehrab.hearnow.com https://georgehrab.bandcamp.com ................................... SUBSCRIBE! You can sign up at GeorgeHrab.com and become a Geologist or a Geographer. As always, thank you so much for your support! You make the ship go. ................................... Sign up for the mailing list: Write to Geo! Check out Geo's wiki page, thanks to Tim Farley. Have a comment on the show, a Religious Moron tip, or a question for Ask George? Drop George a line and write to Geo's Mom, too!

This episode of The Other Side of the Bell, featuring trumpet educator, improviser and composer Kris Tiner, is brought to you by Bob Reeves Brass. This episode also appears as a video episode on our YouTube channel, you can find it here: "Kris Tiner Trumpet Interview" And, find the expanded show notes, transcript and more photos here --- How do you turn improvisation into an album, without taking forever to finish? How do you know when it's ready and complete? Kris Tiner has been improvising his whole life, in fact, he would point out that we all are:  "We're all improvising right now. You get up and walk to the door, and which room do you go into next? That's an improvisation. What are you going to have for dinner?  You get in your car and you drive down the highway, that's an improvisation." Improvisation is a natural state of being for musicians, just witness when kids pick up an instrument and start exploring. But as adults (and professional recording musicians), well, time is money, the album's gotta get released, and you've got to decide when to stamp that recording and send it out into the zeitgeist. Kris shares some of the fascinating mindset of recording improvisational jazz pieces, as reflected on his brand new album, "Sung," a collaboration with pianist Cathlene Pineda. We also talk about the experience of providing music education in a small city, not a big urban hub, and the connections and community that can be found therein. Kris teaches trumpet, jazz, composition and improvisation as Professor of Music at Bakersfield College in California, helping students gain access to music and opportunities that they may not receive otherwise. Of whom one of those students was himself, having embarked on his musical education at CSU Bakersfield in the 1990s. A full circle journey, indeed. About Kris Tiner: KRIS TINER is a California-based trumpet artist, composer, and educator. His music has been performed on five continents, his 100+ recordings have been enthusiastically reviewed in the international jazz press, and he has performance credits on MTV, NBC, PBS and Comedy Central. Tiner has received awards from ASCAP, the American Composers Forum, Chamber Music America, Montalvo Arts Center, and in 2023 was recognized as the CMEA statewide jazz educator of the year. He is a member of the Empty Cage Quartet with recordings on Portugal's Clean Feed label, and he collaborates with guitarist Mike Baggetta in the duo Tin/Bag. Tiner also performs with the Cathlene Pineda Quartet, Psychic Temple, the Industrial Jazz Group, and the Bakersfield Symphony Orchestra. He is the Director of Jazz Studies at Bakersfield College, and has also taught at CalArts and CSU Bakersfield. Tiner is the founder of Epigraph Records, an independent label dedicated to new creative music recorded in Bakersfield. Episode Links: Sung, the new album: https://orendarecords.bandcamp.com/album/sung Website: www.kristiner.com Bandcamp: https://epigraph.bandcamp.com YouTube: https://www.youtube.com/kctiner Facebook: https://facebook.com/kctiner Instagram: @kris.tiner Bob Reeves Brass Events and Appearances: William Adam Trumpet Festival July 9-12, Southern Illinois University, Carbondale, Ill. Book your trumpet alignment here: https://trumpetmouthpiece.com/products/william-adam-trumpet-festival-valve-alignment-presale Podcast Credits: "A Room with a View" - composed and performed by Howie Shear Podcast Host - John Snell Photo Credits - AJ Rodriguez, Aviva Diamond, Talley Sherwood, Corey Stock Audio Engineer - Ted Cragg

How common or rare are species in an ecosystem? The answer to this might seem simple, but as with everything in nature, it is not. This question can even complicate how we think of habitat conservation and restoration. When we refine and implement scientific tools like species diversity indices, we need to make sure we are applying them correctly. Join me and Dr. Robert Warren as we explore measures of species diversity, the issues with improper use of these tools, and what that can mean in the context of invasive species and restoration. This episode was produced in part by Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When you start studying a group of plants, you never know what you are going to find. Sometimes it's important insights into pollination and seed dispersal. Other times it's how the uplift of mountain chains shapes wetlands and rivers. These are the kinds of discoveries that drive Dr. Ana Bedoya to study the riverweeds of the family Podostemaceae. These extreme aquatic plants are fascinating in the own right while also having a lot to teach us about a variety of scientific disciplines. This episode was produced in part by Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Plants are habitat. Heck, even a single leaf is habitat. Same goes for plant roots. This is especially true when we consider insects and fungi. But how do these organisms interact? How do they change over gradients of moisture, temperature, space, and time? Why do we consider some parasitic while others are mutualists? The world of ecological interactions is extremely complex but people like Dr. Chris Bivins are taking stabs at trying to gain insights piece by piece. Join us for an wonderfully deep dive on the amazing ways oaks, gall wasps, fungi, and mycoheterotrophic plants live out their mysterious lives together. This episode was produced in part by Chris, Gerald, Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What could be better than a tiny plant with an outsized impact on the world around it? Hornleaf riverweed AKA Podostemum ceratophyllum is one such plant. This tiny aquatic plant has so many mysterious surrounding it but what we do know is that it is foundational to the aquatic ecosystems in which it is found. Join me and Dr. James Wood as we take a deep dive on this unique aquatic plant and learn what you can do to help us understand and conserve it a little bit better. This episode was produced in part by Elise, Maggie, Mamie, A.J., Dallas, Channele, KC, Joe, Diane, Kim, Tanya, Neil, Matthew, April, Dana, Lilith, Sanza, Eva, Yellowroot, Wisewren, Nadia, Heidi, Blake, Josh, Laure, R.J., Carly, Lucia, Dana, Sarah, Lauren, Strych Mind, Linda, Sylvan, Austin, Sarah, Ethan, Elle, Steve, Cassie, Chuck, Aaron, Gillian, Abi, Rich, Shad, Maddie, Owen, Linda, Alana, Sigma, Max, Richard, Maia, Rens, David, Robert, Thomas, Valerie, Joan, Mohsin Kazmi Photography, Cathy, Simon, Nick, Paul, Charis, EJ, Laura, Sung, NOK, Stephen, Heidi, Kristin, Luke, Sea, Shannon, Thomas, Will, Jamie, Waverly, Brent, Tanner, Rick, Kazys, Dorothy, Katherine, Emily, Theo, Nichole, Paul, Karen, Randi, Caelan, Tom, Don, Susan, Corbin, Keena, Robin, Peter, Whitney, Kenned, Margaret, Daniel, Karen, David, Earl, Jocelyn, Gary, Krysta, Elizabeth, Southern California Carnivorous Plant Enthusiasts, Pattypollinators, Peter, Judson, Ella, Alex, Dan, Pamela, Peter, Andrea, Nathan, Karyn, Michelle, Jillian, Chellie, Linda, Laura, Miz Holly, Christie, Carlos, Paleo Fern, Levi, Sylvia, Lanny, Ben, Lily, Craig, Sarah, Lor, Monika, Brandon, Jeremy, Suzanne, Kristina, Christine, Silas, Michael, Aristia, Felicidad, Lauren, Danielle, Allie, Jeffrey, Amanda, Tommy, Marcel, C Leigh, Karma, Shelby, Christopher, Alvin, Arek, Chellie, Dani, Paul, Dani, Tara, Elly, Colleen, Natalie, Nathan, Ario, Laura, Cari, Margaret, Mary, Connor, Nathan, Jan, Jerome, Brian, Azomonas, Ellie, University Greens, Joseph, Melody, Patricia, Matthew, Garrett, John, Ashley, Cathrine, Melvin, OrangeJulian, Porter, Jules, Griff, Joan, Megan, Marabeth, Les, Ali, Southside Plants, Keiko, Robert, Bryce, Wilma, Amanda, Helen, Mikey, Michelle, German, Joerg, Cathy, Tate, Steve, Kae, Carole, Mr. Keith Santner, Lynn, Aaron, Sara, Kenned, Brett, Jocelyn, Ethan, Sheryl, Runaway Goldfish, Ryan, Chris, Alana, Rachel, Joanna, Lori, Paul, Griff, Matthew, Bobby, Vaibhav, Steven, Joseph, Brandon, Liam, Hall, Jared, Brandon, Christina, Carly, Kazys, Stephen, Katherine, Manny, doeg, Daniel, Tim, Philip, Tim, Lisa, Brodie, Bendix, Irene, holly, Sara, and Margie. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.