Podcasts about second summer

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

What happens when an empty warehouse, a group of idealistic musicians and one visionary DJ help spark a musical revolution? Mike Pickering was there for every beat.

On this episode of 3 Championship Drive, Lance Caporossi reacts to Ebuka Okorie's second NBA Summer League performance, breaking down what impressed him, where the rookie still needs to improve, and what Pistons fans should realistically expect moving forward.Lance also discusses whether it's time to start buying stock in Chaz Lanier after another impressive showing. Is Lanier forcing his way into Detroit's long-term plans, or is it too early to get carried away?The conversation then shifts to Dwane Casey's latest comments on Jalen Duren. Did Casey reveal any new insight into Duren's future with the Pistons, and what could it mean for Detroit's plans going forward?Finally, Lance looks ahead to the upcoming NBA season and breaks down just how competitive the Eastern Conference could be. Where do the Pistons stack up against the conference's top contenders, and what will it take for Detroit to make another leap?If you're looking for Detroit Pistons news, Ebuka Okorie analysis, NBA Summer League reactions, Chaz Lanier discussion, Jalen Duren updates, Eastern Conference outlook, and Pistons offseason coverage, this episode of 3 Championship Drive is for you.If you enjoyed this episode, make sure to follow 3 Championship Drive on Spotify and subscribe on YouTube for daily Detroit Pistons coverage. From trade rumors and free agency to NBA Draft scouting reports and game analysis, we've got Pistons fans covered all year long. Leave a 5-star rating, share the podcast with another Pistons fan, and join the conversation in the comments. New episodes every week.

The Big Mates discuss Mr. Oizo, the Second Summer of Love, Space Jam, and Debut by Björk. Adam, Steve, and Lucas begin their dissection of her first solo album by looking at how Björk wrote and recorded the album, the collaborations she sought to help her, and the thought behind the various styles found on the record.They also find time to explore a brief history of the relationship between the UK and electronic dance music, before starting the track-by-track analysis of the album, exploring the composition, sound, lyrics, meaning, and context for each song in turn - all from three differing perspectives, from being deeply into music and analysis, to not caring for art or critique, and everything in between!How does Björk kick off her solo career? What do we know about electronic dance music? Where are Lucas' security weaknesses? Find out on this episode of What Is Music?Our next episode is out next week, Monday June 29th, and will continue the deep-dive into Björk's first album!Join the conversation on:Bluesky: https://bsky.app/profile/whatismusicpod.bsky.socialThreads: https://www.threads.net/@whatismusicpodInstagram: https://www.instagram.com/whatismusicpodE-mail: whatismusicpod@gmail.comGet access to more shows, exclusive bonus content, ad-free episodes of this show, and more music discussion by subscribing to our Patreon!Head to patreon.com/whatismusicpod and receive up to two new episodes of our various shows every week (including our album club and monthly themed playlists!), ad-free archives of What Is Music?, and access to our Patron-only Discord server for even more music (and non-music) discussion!Support our show when starting your own podcast!By signing up to Buzzsprout with this link: https://www.buzzsprout.com/?referrer_id=780379Check out our merch!https://whatismusicpod.redbubble.comDonate to our podcast!https://ko-fi.com/whatismusichttp://whatismusic.buzzsprout.com/Support the show

Chi pensa che rave illegali, smiley e acid house siano fenomeni degli anni 2000, ha la memoria corta: c'è stato un momento, alla fine degli anni '80, in cui milioni di giovani britannici smisero improvvisamente di identificarsi con il rock tradizionale, con il pop sintetico e persino con le vecchie rivalità tribali del decennio precedente. Quel momento prese il nome di Second Summer of Love (oltre venti anni dopo la prima Summer of Love di San Francisco) e coincise con l'esplosione dell'Acid House, dei rave clandestini e di una nuova cultura notturna destinata a influenzare tutta l'Europa, Italia compresa.La Second Summer of LoveIl fenomeno si sviluppò principalmente tra il 1988 ed il 1989 nel Regno Unito, oltre 20 anni dopo la celebre Summer of Love degli hippies a San Francisco, ma i suoi effetti continuarono per anni, gettando le basi della club culture moderna, della musica dance contemporanea e persino di un diverso modo di vivere la socialità giovanile.

Rave Stabs WAV DiSCOVER | 01 November 2020 | 595 MB Three decades since the Second Summer of Love was in full swing, pay homage to rave culture’s heritage with […]

The Second Summer is an alternative power pop band from the Chicagoland area drawing inspiration from Cheap Trick and the Gin Blossoms. In this interview, Peter Kreten sits down with Steve Gatland from The Second Summer to learn how the band came together, why the hook is what matters most to him, and why YOU should take a chance on going to a local show. Photo Credit: Steve Gatland and The Second Summer. Used with Permission

Tonight's Guest WeatherBrain is a Professor of Meteorology at Penn State University.  He's a former Weather Channel Storm Analyst and co-author of "Philadelphia Area Weather Book".  Dr. Jon Nese, it's great to have you back on the show tonight. Our second Guest WeatherBrain is the author of "Gettysburg's Lost Love Story: The Ill-Fated Romance of General John Reynolds and Kate Hewitt" and has over three decades of experience working with naval intelligence.  Jeffrey Harding, welcome to WeatherBrains! Our email officer Jen is continuing to handle the incoming messages from our listeners. Reach us here: email@weatherbrains.com. "Second Summer" vs "Indian Summer" (05:00) Extreme hardships of Civil War soldiers (12:00) NOAA reanalysis capability regarding the Gettysburg Campaign (15:00) Weather observations available to Civil War-era professionals in early 1860s (21:30) When the reanalysis data disagreed with the soldier's diaries (25:30) 1863's meteorological impacts and the turning point of the Civil War (32:00) Temperature difference between gray and blue uniforms while in blazing heat (37:00) Wet bulb globe temperature guidelines (49:45) Flash flooding and Lee's retreat after Battle of Gettysburg (53:00) Greg Forbes and his involvement in the Gettysburg book (01:02:00) The Astronomy Outlook with Tony Rice (No segment this week - stay tuned!) This Week in Tornado History With Jen (01:21:20) E-Mail Segment (01:22:45) and more! Web Sites from Episode 1028: Alabama Weather Network "The Philadelphia Area Weather Book" by Jon Nese, Glenn Schwartz and Edward Rendell "Gettysburg's Lost Love Story: The Ill-Fated Romance of General John Reynolds and Kate Hewitt" by Jeffrey J Harding Picks of the Week: James Aydelott - Okie J in front of funnel cake stand Jen Narramore - Tornado Talk Podcast: September 30th, 1959 Ivy-Mechums River, VA F3 Tornado Rick Smith - Out Troy Kimmel - Two hunters die after being struck by lightning while hunting in Florida flatlands Troy Kimmel - Young elk hunting friends who vanished in Colorado wilderness were both killed by lightning strike Kim Klockow-McClain - Fujiwhara typologies discussion John Gordon - What is a sting jet? Bill Murray - Spanning Alabama Ep. 3 - Rickwood Field (YouTube) James Spann - 403rd Wing on X: Lightning Cockpit Video The WeatherBrains crew includes your host, James Spann, plus other notable geeks like Troy Kimmel, Bill Murray, Rick Smith, James Aydelott, Jen Narramore, John Gordon, and Dr. Kim Klockow-McClain. They bring together a wealth of weather knowledge and experience for another fascinating podcast about weather.

Who doesn't love a comfort TV show? It's those shows that you re-watch over and over again. Today on the Carpool, Kelly and Lizz discuss their "Model Line-up" of comfort TV shows. They both have a pretty good list and neither will contain "Gilmore Girls."  Before they get to that, it's time to talk about the Second Summer that is currently happening in Missouri. Kelly wants a fall drink, but it's too warm outside for a hot drink. Will an Olipop do? Lizz is getting excited to break out the fall decorations, but not as excited as she is to watch the new season of "Dancing with the Stars." It's been a while, but the advice segment is back this week answering questions on mom guilt and how long you can wait to upgrade your car. Speaking of upgrades, in Industry News Kelly reveals that more people are upside down when they trade in their car. Finally, it's all about Souptember in Ditch The Drive-Thru with a super yummy ham and bean soup recipe. 

Dan Stark and Hope Hamilton both returned to The Express News Group newsroom in 2025 for their second consecutive summer as full-time interns. Stark and Hamilton join the editors on the podcast to discuss their experiences and most memorable articles and to reflect on what they learned that they will carry with them into their future careers.

Trevor Fung is a true pioneer of the UK dance scene whose open-minded approach to music helped spark a movement that transformed global club culture. From the golden glow of Amnesia in Ibiza to the raw energy of Rage in London, Trevor has never followed trends - he's set them. Though often described as one of the scene's unsung heroes, his early influence was pivotal in inspiring the Second Summer of Love, leaving a lasting impact on dance music. Now in his fifth decade as a DJ, Trevor continues to share his spirit of discovery with new generations around the world, solidifying his status as a true original.FOLLOW US Instagram: @houseculturenetSpotify: House Culture - Perfect PlaylistYouTube: @houseculturenet|| Support this show http://supporter.acast.com/houseculture. Hosted on Acast. See acast.com/privacy for more information.

For the second summer in a row, kids in Durham will not be able to enjoy some of the city's biggest parks. It comes 2.5 years after Duke researchers discovered "alarmingly high" levels of lead in the soil there. WRAL Investigates' Sarah Krueger is asking officials when the parks will reopen, how much it'll cost, and where they'll find the money.

Rave Stabs WAV DiSCOVER | 01 November 2020 | 595 MB Three decades since the Second Summer of Love was in full swing, pay homage to rave culture’s heritage with […]

Ugh- second summer is upon the farm...  Temps in the 80's once again and drought..  Dry, dusty drought...Walnuts getting picked up from the yard- the bumper crop that keeps giving.  Prices are down to $12/100 lbs "after" the nuts have gone through the huller/dehusker machine.  Pffffff.....Goats are fine, garden winding down.  Acorn needs to plant the garlic but it is so danged warm!  Blind Hog is about over his cold he had this week, now Acorn has a bit of sore throat.  What comes around goes around...Good news is that the finish mower is hooked onto the tractor- need new back wheels/tires but fingers crossed!  So far, so good!

At the table this week, the fellas discussed: (4:53) What is an animal you wish we had domesticated instead of dogs? (13:27) What is one “you had to be there” moment you look forward to explaining to your kids? (21:15) Which Nickelodeon GAS show would you want to be on? --- Support this podcast: https://podcasters.spotify.com/pod/show/theblt/support

Welcome back to another episode of The Criminal Connection Podcast.Today, The Podfather welcomes Andy Swallow, one of the most important street culture influencers that you've never heard of.Hear all about Andy's life, from being founding part of West Ham United's Hooligan Firm, The Inter City Firm, to his days running Centreforce Radio, a pirate radio station that was instrumental during the Second Summer of Love period of acid house and rave music culture in the UK.Now sit back and enjoy the show.Big thank you to our sponsors:HDB Services - www.hdbservices.co.ukiME - https://i-me.tech/Marc Oliver Bespoke Tailoring - https://marcoliver.com/?utm_source=podcast&utm_medium=criminalVIP Security Services - https://www.vipsecurityservices.co.uk/ - 10% discount code for all services purchased using code VIPCCP24Wyldecrest Events - https://wyldecrestevents.com/?ref=criminalconnectionpodcast - 5% discount code for all services purchased using code CCP5OFF Hosted on Acast. See acast.com/privacy for more information.

Podcast #698 has its nose in everybody's business including Ramones, The Sleazoids, New Race, Soul Asylum, Las Nubes, Remorsefully Numb, Throw That Beat In The Garbagecan!, Swiftumz, & The Second Summer.

*Note that there's a swear in this episode in case you have little people around. Also Kate's sound quality is a bit warbly at times but doesn't hinder the conversation.I'm delighted to welcome my first guest to the podcast! Kate Codrington is a mentor, author, speaker, facilitator, artist and podcaster. She's the author of Second Spring: the self-care guide to menopause, and her second book, The Perimenopause Journal, will be out September 2024 (Find her full bio here.) Kate and I had a conversation about this season's theme "Old stories. New possibilities."Kate shares about the season she's in as, at 58 yo, she moves closer to Second Summer. She shares what this feels like in her body, life, and work of this season. We also talk about staying in discomfort and how the work of this season prepares us for what's next.She shares her observation that in the wellness industry or those of us working online often feel pressure to project an idealized version of life and self.She shares about her current growth edge which is having courage to trust in the liminal spaces. And also allowing her insides (or her full inner truth/Self) a more honest expression in conversation and community.and more!LINKS/RESOURCESKate's Free resource library: https://mailchi.mp/a8a0fa08678a/resource-library Kate's Website: https://www.katecodrington.co.uk/ Kate on IG: https://www.instagram.com/kate_codrington/ Support the podcast: https://buymeacoffee.com/alifeinprogress

Between 1988 and 1994, the UK scrambled to make sense of acid house, with its radical new sounds, new drugs and new ways of partying. In a recent piece for the paper, Chal Ravens considers a reappraisal of the origins and political ramifications of the Second Summer of Love. She joins Tom to unpack the social currents channelled through the free party scene and the long history of countercultural ‘collective festivity' in England.Read more, and listen ad free, on the LRB website: lrb.me/acidhousepod Hosted on Acast. See acast.com/privacy for more information.

Welcome to our first SheerLuxe Middle East podcast. Here, our founder Georgie Coleridge Cole is joined by SL contributor Tamara Jabi, Carmel Harrison, stylist and co-founder of Second Summer, and Reem Kanj, the co-founder of Ego & East – to talk about personal style, regional brands, where they're eating out and what they're watching. Plus, they discuss their beauty discoveries, and where to visit this year.AD | British Airwayshttps://www.britishairways.com/en-gb/destinations/middle-east Hosted on Acast. See acast.com/privacy for more information.

Welcome to our first SheerLuxe Middle East podcast. Here, our founder Georgie Coleridge Cole is joined by SL contributor Tamara Jabi, Carmel Harrison, stylist and co-founder of Second Summer, and Reem Kanj, the co-founder of Ego & East – to talk about personal style, regional brands, where they're eating out and what they're watching. Plus, they discuss their beauty discoveries, and where to visit this year.AD | British Airwayshttps://www.britishairways.com/en-gb/destinations/middle-east Hosted on Acast. See acast.com/privacy for more information.

Indian Summer aka Second Summer usuall occurs in November, but most folks associated it with warm weather in Autumn....But We haven't had a first killer frost yet...It gets colder this week!

What should you do on a beautiful "Second Summer" or "St. Martin's Summer" day in Chicago? Find out!

In today's story, Second Summer, Hillary overthinks her way to a coffee dateToday's prompt was based on the weather. October is my favorite time of year, yet fall is often interrupted by second summer, a time when hot sunny days return for one last gasp before the chill of fall fully sets in. As always, the story was written from the prompt, with no planning and very little editing. If you enjoy today's story, please share it with your friends and leave a review for Freely Written. Thank you!More about Susan QuiltySusan Quilty mainly writes novels, including two standalone novels and her current YA series: The Psychic Traveler Society.  Susan's short stories for Freely Written are created during quick writing breaks and shared as a way to practice her narration skills before she dives into recording audio versions of her novels.Website:  SusanQuilty.comFacebook: Freely WrittenThe Freely Written Book: Freely Written Vol. 1Freely Written merch: Bitter Lily Books ShopSupport the show

We're bringing back summer for a week. Every year it seems those warmer temperatures creep back in, some call it second summer. Right in between false fall and actual fall. MPR News Chief Meteorologist Paul Huttner joined MPR News host Cathy Wurzer. For the latest weather information, follow MPR News' Updraft blog.Use the audio player above to listen to the full conversation.Subscribe to the Minnesota Now podcast on Apple Podcasts, Google Podcasts, Spotify or wherever you get your podcasts.   We attempt to make transcripts for Minnesota Now available the next business day after a broadcast. When ready they will appear here.

In this episode Matt and Chris explore board games with a nature theme and in doing so, discover how the nature of games is changing.   Jump to a specific section: 00:00  The Nature of Games 06:30 Parks 24:50 Herbaceous 35:00 Second Summer 43:05 Living Forest   Please remember to like and subscribe to the Escape Into Board Games podcast   Listen to the show:  http://escapeintoboardgames.com/ Join our Facebook community:  https://www.facebook.com/groups/escapeintoboardgames Instagram:  https://www.instagram.com/escapeintoboardgames/ YouTube:  https://www.youtube.com/channel/UCUEDSFl8opkv7_Pd0ECoeqQ TikTok:  https://www.tiktok.com/@escapeintoboardgames Send us an email:  escapeintoboardgames@gmail.com   Support the show at: Shirts and more: https://www.geekygoodies.com/escapeintoboardgames https://www.buymeacoffee.com/escapeintobgs     #EscapeIntoBoardGames #TheNatureOfGames #NatureGames #BoardGames #BoardGameReviews #BoardGamePodcast

I'm home from Summer on the East Coast, ready to begin Second Summer in Southern California (find out what this means). I talk about my big blue birthday party on Broadway and the surprise visitors who flew across the country. In this episode I welcome new listeners I met (in-person) in Boone, North Carolina through Laura McKowen's weekend retreat at Art of Living Center. I answer questions, discuss Fall Wise Circle Enrollment, and share ideas related to this juicy thought by Brianna Wiest: “Your new life is going to cost you your old one. It's going to cost you your comfort zone and your sense of direction. It's going to cost you relationships and friends. It's going to cost you being liked and understood. It doesn't matter. The people who are meant for you are going to meet you on the other side. You're going to build a new comfort zone around the things that actually move you forward. Instead of being liked, you're going to be loved. Instead of being understood, you're going to be seen. All you're going to lose is what was built for a person you no longer are. Let it go.” You don't want to miss an appearance by Harvey Rose (from one of our play sessions) and my new friend, Dharamjeev. She reads a Mary Oliver poem, ‘At Blackwater Pond', live from Beech Forest, during our visit to Provincetown, Massachusetts.

Blue Beetle posted an (almost) record low opening for the DCEU era. I break down the numbers, plus new records for Barbie and Oppenheimer, A24's sneaky summer hit, and more. Reclaim your health and arm your immune system with convenient, daily nutrition at https://DrinkAG1.com/DAN Go to https://TryFirstleaf.com/MURRELL to sign up and get your first SIX hand-curated bottles of wine for under $8 a bottle!

Here together are all four parts of the shows recently released, taking an entirely new approach to the fabled ‘second Summer of Love', the mainstream's own term for the emerging Acid House/ Rave scene of 1988. Guesting on this Roundtable discussion are Dom and Chris of Sheep Farm Studios, and Matt Sergiou of the Occult Beatles and Conspiro Media sites. Between us we ask questions that few, if any other researchers ever publicly have in 35 years, questioning whether that scene could have evolved organically, or whether it bears all the hallmarks of being yet another government/ military-sponsored social-engineering psy-op.Big thanks to Gregg Vardy for the video editing.*Musical Truth Volume 2, which contains two chapters on social-engineering through dance music culture, can be purchased here:https://www.amazon.co.uk/Musical-Truth-2-Mark-Devlin-ebook/dp/B07B3VS88J/ref=sr_1_1?crid=1HLN2LAAN1OU0&keywords=musical+truth+2&qid=1690534935&sprefix=musical+truth+2%2Caps%2C816&sr=8-1My Linktree - the one-stop shop for all my various platforms:https://linktr.ee/markdevlinDetails of all upcoming events are here:www.djmarkdevlin.com/events/For anyone who has found value in my work and would like to make a donation towards it being able to continue, you can do so at Buy Me A Coffee here:https://www.buymeacoffee.com/markdevlinOr, to make a direct donation via www.paypal.com, find me under the e-mail address markdevlinuk@gmail.com there.To order Root Wellness natural health/ immune boosting products as featured in a previous Good Vibrations episode:https://www.therootbrands.com/markdevlin

Here's the fourth and final episode in this series, taking an entirely new approach to the fabled ‘second Summer of Love', the mainstream's own term for the emerging Acid House/ Rave scene of 1988. Guesting on this Roundtable discussion are Dom and Chris of Sheep Farm Studios, and Matt Sergiou of the Occult Beatles and Conspiro Media sites. Between us we ask questions that few, if any other researchers ever publicly have in 35 years.Under discussion this time are … MDMA and LSD, Leo Zeff, Alexander Shulgin, George Merck, Dr. Henry A Murray, M.I.T., the Boston Group, the Unabomber, Timothy Leary, the Castalia Foundation, the Hacienda, Tony Wilson, New Order, Guy Debord, King Mob, Afrika Bambaataa, the Paradise Garage, Soft Cell, and a whole lot more.Big thanks to Gregg Vardy for the video editing.*Musical Truth Volume 2, which contains two chapters on social-engineering through dance music culture, can be purchased here:https://www.amazon.co.uk/Musical-Truth-2-Mark-Devlin-ebook/dp/B07B3VS88J/ref=sr_1_1?crid=1HLN2LAAN1OU0&keywords=musical+truth+2&qid=1690534935&sprefix=musical+truth+2%2Caps%2C816&sr=8-1My Linktree - the one-stop shop for all my various platforms:https://linktr.ee/markdevlinDetails of all upcoming events are here:www.djmarkdevlin.com/events/For anyone who has found value in my work and would like to make a donation towards it being able to continue, you can do so at Buy Me A Coffee here:https://www.buymeacoffee.com/markdevlinOr, to make a direct donation via www.paypal.com, find me under the e-mail address markdevlinuk@gmail.com there.To order Root Wellness natural health/ immune boosting products as featured in a previous Good Vibrations episode:https://www.therootbrands.com/markdevlin

For the video version:https://www.bitchute.com/video/f00kwcAZm2Pm/We're on the 35th anniversary of the fabled ‘second Summer of Love', which was the mainstream's own term for the emerging Acid House/ Rave scene of 1988. Guesting on this Roundtable discussion are Dom and Chris of Sheep Farm Studios, and Matt Sergiou of the Occult Beatles and Conspiro Media sites. In the third of four episodes which ask questions that few, if any other researchers ever have, we examine the alarming parallels between this scene and the 1960s hippie/ ‘counter culture' movement of 21 years previous. Under discussion this time are: Tony Colston Hayter and the Sunrise raves; the dubious background of his PR man Paul Staines; the Sun both “exposing” and endorsing “evil” Acid House … in the same edition!; the similarity between LSD being “exposed” by the media in the 60s and Ecstasy in the 80s; James Palumbo and the Ministry of Sound; the Leah Betts affair; the Rettenden murders; Channel 4's live ecstasy experiment; Carl Cox's vaccine endorsement; Fatboy Slim; David Guetta; worrying aspects of Paul van Dyk, and much more.Come back soon for the final episode in this series.Big thanks to Gregg Vardy for the video editing.*My Linktree - the one-stop shop for all my various platforms:https://linktr.ee/markdevlinDetails of all upcoming events are here:www.djmarkdevlin.com/events/For anyone who has found value in my work and would like to make a donation towards it being able to continue, you can do so at Buy Me A Coffee here:https://www.buymeacoffee.com/markdevlinOr, to make a direct donation via www.paypal.com, find me under the e-mail address markdevlinuk@gmail.com there.To order Root Wellness natural health/ immune boosting products as featured in a previous Good Vibrations episode:https://www.therootbrands.com/markdevlin

#pelicans #neworleanspelicans #pelicansnew #nbasummerleagueBig Q & DC recap the New Orleans Pelicans 2nd Summer league game in Los Vegas verses the Golden St Warriors.The New Orleans Pelicans defeat the Golden State Warriors, 94-86. Dereon Seabron led the way with 25 points, 7 rebounds and 3 assists for the Pelicans, while Dyson Daniels added 17 points, 15 rebounds and 8 assists in the victory. Lester Quinones tallied 26 points and 4 3pt. FG for the Warriors, while Brandin Podziemski added 10 points, 9 rebounds and 10 assists in the losing effort. The Pelicans improve to 1-1 in Summer League, while the Warriors fall to 0-2Hit the Link Tree for the socials!https://linktr.ee/thepromedianetworkPlease subscribe, like & share the shows link!

Adam Mares, Harrison Wind, Eric Wedum and Dev Johnson are live from Circa Stadium Swim to give their final thoughts on the Nuggets' first Summer League game and look ahead to tonight's matchup with Atlanta. What do the fellas want to see from Peyton Watson, Jalen Pickett, Julian Strawther and Collin Gillespie vs. the Hawks? Also, Espo from PHNX and Will Gotlieb from CHGO join to give their takes on the Nuggets' championship run. Will Gottlieb's Nuggets takeaways - 3:00 Is Suns-Nuggets a rivalry? - 5:00 Jokic is the best player in the world - 8:30 Underwhelmed by KD's playoff run? - 9:30 The case for the Nuggets to repeat - 13:30 The case for the Suns - 14:30 The decision - 17:00 Was PWAT worse on rewatch? What stood out? - 22:30 Does Peyton see himself as a star? - 26:00 What do we want to see tonight? - 28:50 Collin Gillespie - 30:00 Hunter Tyson - 35:40 Tonight's scouting report - 38:30 Who are we most excited to watch? - 43:00 Favorite thing we've eaten? - 48:30 Nuggets as fighters - 51:00 Which playoff game would you want to watch from the pool? - 51:40 Remaining two-way deals? - 53:00 BUY TICKETS HERE: https://gametime.hnyj8s.net/c/3442941/1441543/10874 TAILGATE WITH US: https://bit.ly/3fwCPha  Breck Brew Ultimate Gameday Experience: https://thednvr.com/brecksweeps/ Find the nearest Mile High City Golden Ale near you at https://www.breckbrew.com/brew-finder/  Visit jivehyve.com and get your order delivered today! Roman: Go to https://ro.co/DNVR today to get 20% off your entire first order.  Visit https://dkng.co/DNVR to sign up for DraftKings Sportsbook using the code “DNVR” Gambling Problem? Call 877-8-HOPENY/text HOPENY (467369) (NY), If you or someone you know has a gambling problem, crisis counseling and referral services can be accessed by calling 1-800-GAMBLER (1-800-426-2537) (CO/IL/IN/LA/MD/MI/NJ/OH/PA/TN/WV/WY), 1-800-NEXT STEP (AZ), 1-800-522-4700 (KS/NH), 888-789-7777/visit ccpg.org (CT), 1-800-BETS OFF (IA), visit OPGR.org (OR), or 1-888-532-3500 (VA). 21+ (18+ NH/WY). Physically present in AZ/CO/CT/IL/IN/IA/KS/LA(select parishes)/MD/MI /NJ/ NY/OH/PA/TN/VA/WV/WY only. VOID IN ONT. Eligibility restrictions apply.  BONUS bets: Valid 1 per new customer. Min. $5 deposit. Min $5 bet. $200 issued as bonus bets that expire 7 days (168 hours) after being awarded. See terms at sportsbook.draftkings.com/basketballlterms. No Sweat: Valid 1 per customer. NBA same game parlay bets only. Min 3-leg. First bet after opting-in must lose. Paid as one Bonus Bet Token based on amount of initial losing bet. Max. wagering limits apply. Bonus Bets expire 7 days (168 hours) after being awarded. Ends at the start of the final NBA game each day when offered prior to 2/16/23 @ 10PM ET. See terms at sportsbook.draftkings.com/basketballterms  When you shop through links in the description, we may earn affiliate commissions. Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Learn more about your ad choices. Visit megaphone.fm/adchoices

For the video version:https://www.bitchute.com/video/WP6iilo4wtg2/ We're on the 35th anniversary of the fabled ‘second Summer of Love', which was the mainstream's own term for the emerging Acid House/ Rave scene of 1988. Guesting on this Roundtable discussion are Dom and Chris of Sheep Farm Studios, and Matt Sergiou of the Occult Beatles and Conspiro Media sites. In the second of four episodes which ask questions that few, if any other researchers ever have, we examine the alarming parallels between this scene and the 1960s hippie/ ‘counter culture' movement of 21 years previous. Under discussion this time are the drugs, the suspect Military Intelligence Complex connections of many of the key players, the changing nature of the sounds, and the sinister side of the iconic smiley yellow face. Come back soon for the rest of the episodes in this series. Big thanks to Gregg Vardy for the video editing. * My Linktree - the one-stop shop for all my various platforms: https://linktr.ee/markdevlin Details of all upcoming events are here: www.djmarkdevlin.com/events/ For anyone who has found value in my work and would like to make a donation towards it being able to continue, you can do so at Buy Me A Coffee here: https://www.buymeacoffee.com/markdevlin Or, to make a direct donation via www.paypal.com, find me under the e-mail address markdevlinuk@gmail.com there. To order Root Wellness natural health/ immune boosting products as featured in a previous Good Vibrations episode: https://www.therootbrands.com/markdevlin

For the video version:https://www.bitchute.com/video/nnEQlXb6dln2/This series has exposed many social engineering psy-ops in its time, but this is one that hits very close to home for myself and my guests, as we were all personally caught up in it. Guesting on this Roundtable discussion are Dom and Chris of Sheep Farm Studios, and Matt Sergiou of the Occult Beatles and Conspiro Media sites. We're on the 35th anniversary of the fabled ‘second Summer of Love', which was the mainstream's own term for the emerging Acid House/ Rave scene of 1988. In the first of four episodes which ask questions that few, if any other researchers ever have, we examine the alarming parallels between this scene and the 1960s hippie/ ‘counter culture' scene of 21 years previous. From the music, to the drugs, to some of the personnel and agencies involved, there is reason to suspect that the late 80s scene represented a military-grade re-boot and re-packaging of what had been done before, aimed at a new generation on the opposite side of the Atlantic. Come back soon for the rest of the episodes in this series. Big thanks to Gregg Vardy for the video editing. My Linktree - the one-stop shop for all my various platforms: https://linktr.ee/markdevlinDetails of all upcoming events are here: www.djmarkdevlin.com/events/For anyone who has found value in my work and would like to make a donation towards it being able to continue, you can do so at Buy Me A Coffee here:https://www.buymeacoffee.com/markdevlinOr, to make a direct donation via www.paypal.com, find me under the e-mail address markdevlinuk@gmail.com there.To order Root Wellness natural health/ immune boosting products as featured in a previous Good Vibrations episode:https://www.therootbrands.com/markdevlin

The term Today's Market means something different to whoever you ask. This episode Andrew and Audra break down the actual conversations they're having with clients and the potential clients. Andrew Galler's Market Minute examines the statistics and what real-life real estate activity is like as of now.  Plus, we dive into the must do maintenance items to tackle in June. Don't procrastinate drop a line to The Portland is Home Team at hello@realtyworksgroup.com and have them help you get it DONE!  Newsletter from the Gallers:Hello Friends!Doubtless you have heard the (true!) joke about the 11 seasons of Oregon…right? I think it goes like this: Winter, Fool's Spring, Second Winter, Spring of Deception, Third Winter, Mud Season, Actual Spring, Summer, False Fall, Second Summer (1 week) and Actual Fall. I'm not certain if last Saturday was Fool's Spring (seems a tad late for that?) or Spring of Deception…regardless, the point is that I feel this is how the Real Estate Market is right now.  We are experiencing layers of distortions from the cumulative effects of the pandemic and the associated financial side effects. Of note:  Continued high interest rates (and they fluctuate wildly day-to-day) The fact that somewhere in the neighborhood of 80%+ of all homeowners are locked in at interest rates below 3% (or so) Sellers staying off the market and  buyers with no home to sell blocked out of the market because their payment is too high for the home they want to buy.  It's a log jam, people!  So, where does that leave us? We STILL have very low inventory + healthy demand in Portland. We are still experiencing multiple offer situations…but they are hit & miss and hard to predict which homes will yield offers. We are seeing homes that are well-priced and super market-ready garnering multiple offers. As we know, life is going forward regardless of the news cycles and we are always here to consult, advise, go to lunch or just chat! Please feel free to contact us anytime.  We always cherish your support and our ability to help you, your friends and families!

☕️ ☕️ ☕️ Buy me a cup or 2 of creative fuel: https://www.buymeacoffee.com/solluckman ⏳ LIMITED-TIME OFFER: Laugh along w/ the Complete Text of MUSINGS FROM A SMALL ISLAND w/ a Free 7-Day Trial of SLUUU at https://solluckman.substack.com/p/limited-time-offer-laugh-along-w ... While you're at it, sample a wealth of additional premium content, including my award-winning novels, CALI THE DESTROYER and SNOOZE, and my international bestselling book on sound healing, POTENTIATE YOUR DNA.

Ethel Hollister's Second Summer as a Campfire Girl

We discuss the second book in the Sisterhood of the Traveling Pants series.Book talk starts at 16:25.LINKS:PatreonOur merchGLU TwitterGLU InstagramDiscordWebsiteSuggest topicsOur theme song is by Leggy. You can email us at girlslikeusshow@gmail.com.Girls Like Us is part of the Frolic Podcast Network. You can find more outstanding podcasts to subscribe to at Frolic.media/podcasts!

Campus mail, Conscious escapism, and attunement. Dave Scher (Farmer Dave and The Wizards Of The West, Beachwood Sparks) “Farmer Dave and the Wizards of the West combine classic California surf soul with neo Psicodelia and electronic dance music for a hypnotic, Cosmic, uplifting, and profoundly groovy situation. Farmer Dave Scher is a renowned Southern California musician known for playing with Elvis Costello, Interpol, alternative Sub Pop country darlings Beachwood Sparks (founding member), Cass Mccombs, Jenny Lewis, Animal Collective, and many others. This fall, Farmer Dave & WOW will release their album, Second Summer on Curation records. Love and join the Ohana with Farmer Dave and crew!” Excerpt from https://fdandwow.com/bio Dave Scher: Instagram: @timelessdave Website: farmerdavescher.com Farmer Dave and The Wizards Of The West: Bandcamp: https://curation-records.bandcamp.com/album/fdwow-usa-release Instagram: @farmerdaveandthewizards Website: https://fdandwow.com Merch: https://fdandwow.com/store The Vineyard: Instagram: @thevineyardpodcast Website: https://www.thevineyardpodcast.com Youtube: https://www.youtube.com/channel/UCSn17dSz8kST_j_EH00O4MQ/videos

Jaren does a solo pod and details the Mavericks loss in summer league to the Jazz and the Mavericks reportedly going to see Dennis Smith He's workout in Las Vegas as first reported by Dalton Trigg. He also talks about Luka's comments to the Spanish media in regards to his future with the Mavericks and the city of Dallas as well as what direction he'd like the front office to take. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/mainstreammavs/support

This episode is also available as a blog post: https://thecitylife.org/2022/05/20/little-island-announces-second-summer-season/ --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/citylifeorg/message Support this podcast: https://anchor.fm/citylifeorg/support

When you talk about the history of house music, you have to talk about Dave Seaman. Dave Seaman joined Super Progressive to talk about his label Selador and upcoming Seladoria shows, becoming the editor at Mixmag magazine, his residency at Shelley's, forming Brothers in Rhythm, Renaissance mixes, Global Underground mixes in Buenos Aires, South Africa, Melbourne, and Lithuania, and his Bape collection.Dave is truly a house music legend and we can't thank him enough for joining our podcast. 00:00: - Selador & Seladoria05:08 - First records and experiences with the underground music scene07:54 - Falling in love with New York, club culture, and breakdancing09:37 - Mixing for the first time10:50 - Getting a job at Mixmag11:59 - Clubbing during the Second Summer of Love14:36 - The inside story of Dave getting the job at Mixmag20:10 - Initial Mixmag responsibilities22:37 - When the dance music community was born26:05 - Shelley's Residency27:35 - Brothers in Rhythm 28:26 - The legacy of Shelly's Residency31:50 - Mixmag Vol 1 feat. Carl Cox34:30 - Walking the line between pop and underground38:00 - Returning to Leeds39:55 - How the Renaissance relationship began42:04 - Stress Records45:42 - Getting Anthony Pappa a job48:00 - Global Underground in Buenos Aires49:44 - Buenos Aires Clip for GU51:54 - The role the host city plays in GU55:07 - Bomb scare at GU022 Melbourne gig57:20 - The magic of Melbourne1:00:04 - The chaotic life of a DJ1:04:12 - Bape collection

Remember, we welcome comments, questions and suggested topics at thewonderpodcastQs@gmail.com   S2E28 TRANSCRIPT: ----more---- Mark: Welcome back to the Wonder Science-based Paganism. My name's Mark.  Yucca: and I'm Yucca. Mark: And today we're going to talk about the August Sabbath, the midpoint between the summer solstice and the autumnal Equinox, which is celebrated by many pagans as one of the eight stations on the wheel of the year.  Yucca: It's also one of those tricky ones in terms of what is it called?  Mark: Right. That's the first thing we need to talk about. What do you call this thing? How do you pronounce that? And so forth and so on from there.  Yucca: Yeah. Well, I often use Lamas because it's the one I can spell of the ones that other people might know what, what I'm talking about. I also think of it as the Second Summer and It's just that, that beautiful, wonderful holiday, which we'll get into the meaning for it later. But I almost don't even think of it having a name. I just associate it with what's happening during the season for us. So it's our monsoon holiday. Mark: Right, right. Yeah. Llamas comes from the middle English meaning loaf mass.  So in Europe it's very associated with bread and the green harvest, which happened right about now in the course of the year in the countries that had that kind of agricultural cycle. And so it's also associated with all of the products of green, like beer and bread and you know, all the associated things that you can make with grain. Another word that is commonly used in the pagan community is Luna SSA, which is spelled with a variety of extra consonants.  Yucca: Pronounced Luna, Luna, Luna said neither of which. Correct pronunciations for Irish. Mark: Right. And I choose not to use that name because when I was naming the Sabbaths around the course of the wheel of the year and just generally conceptualizing atheopagan ism generally I didn't want to be drawing from any particular culture. I want it to be very clear that this was a modern interpretation of paganism that didn't stem from Celtic culture or Norse culture or Germanic culture or Greek culture or Egypt culture. You know, for, for a number of reasons, one of which is that I feel strongly. My spirituality being a forward-looking spirituality about living in the world today and our vision for the future. And also because I wanted to avoid a cultural appropriation. So  Yucca: name also is in reference to a God. Is it not? Mark: yes, yes, Lugh, who is a God that I don't know anything about.  Yucca: Yeah. Mark: So what I have been calling this, I, I, for a while, and in the book I call it Summer's End, but. Really, it just isn't the end of summer here. If that doesn't work very well. So I've moved from that to Summer's Waning. And also just to the term Dimming, because this is the time of year when it begins to become clear that the days are getting shorter again. It's been long enough since the summer solstice that you can really tell. You're not getting those very little. Nights anymore. It's the days are still long. They're just not as long.  Yucca: yeah, that's getting noticeable. Hmm. I love the waning that connects it back to some of the. The lunar term terminology that we use as well, even though it's a solar holiday, it's, it's connecting those two just with the language.  Mark: Right, right.  Yucca: Although in my, my climate, the sun is, the days are getting shorter, but the summer itself, definitely not coming to an end, but this is the height of summer for us. You know, summer solstice is.  Mark: Yeah.  Yucca: Still it's summer, but it's still spring ish. It's really the end of spring, but this is truly summer for us at this point.  Mark: What'd you say it was high summer where you are.  Yucca: really sure. How to, what that word would really mean to be high summer.  Mark: okay. Okay.  Yucca: Because I would associate high summer with being like the very middle of summer. And I suppose it is, but the way seasons transition is not nice and smooth the way that it looks in the picture books. Right. It's just us often. It's okay. Boom. Sees it as changed. Whether it's changed, it's all different or it just kind of like. Slogs along, just like, okay. Not making up its mind, which season it is.  Mark: right.  Yucca: Yeah. Mark: Where I am in California. We have the buffering effect of the ocean and that tends to sort of smooth things out. I've I've lived in places and been places where. The changing of the season is like the slamming of a door.  Yucca: Yeah. Mark: you have these relatively warm, but kind of wan days in October and then bang and it snows and it's winter time and it stays wintertime for months.  Yucca: Yeah. Mark: So it really just depends on where you are. And as we've so often said, paganism is. At its heart. At least we think a spirituality of place. It's a bit being aware of where we are in the course of the year and where we are on the planet and in the cosmos and paying attention to that and incorporating that into what we celebrate spiritually. So What we're describing in terms of what we practice and what we choose to do and so forth you know, can all be thrown out the window if that's not what is going on, where you live. You know, the, the, the paganism of where you live should be the spirituality of that place.  Yucca: I suspect someone listening from Samoa is going to be in a completely different situation than either of us.  Mark: Yes.  Yucca: So, yeah. Well, before we go too much, further, and mark, there was a poem that you wanted to share.  Mark: Oh, yes. Yes. I, I completely forgot that. And now I'm remembering, Yucca: Hmm. Mark: so I have a cycle of eight poems about the wheel of the year. And this is the one for this season which is called Gifts of a Problem Sabbath which is for Dimming or Summer's Waning: Hidden, you spring upon us from the calendar: ah! The Marblemouthed Holiday is upon us again! What shall we call it? Lammas, or Lughnasadh how on Earth Do you pronounce that, but worse, what does it mean?   Behold the midpoint, the blazing furnace of August. Ritual? Indoors, perhaps, but not under that Sun.   Rather, let us go to the places of water to bask, To where berries hang heavy among the thorns, Knowing it all starts now the cascade of food pouring From the good Earth. Break A stalk of barley, saying this is my heritage this Is emmer wheat is einkorn is the tough grass of the Fertile Crescent Bred to bake my loaves. And bake one then, a crusty yeasty rosemary Dome for tearing with the hands. Eat warm with butter or oil, Feel the Life milling in your teeth, and swallow: This good life sprung abundant from the collision of Earth's magic, Time and art and science. We are a making people. Our hoes and lore Midwife the coming of apples and squash, peppers, tomatoes. The Great Gathering begins now.   Yucca: It's beautiful. Thank you for sharing that.  Mark: Thank you.  Yucca: Yeah. Mark: Yeah this is traditionally the time of the first harvest and where I am. We've been having stone fruit and and garden vegetables and so forth, kind of pouring out for a period of months now. But. In many places where it's colder and further to the north and the angle of the sun is not quite as strong on the, on the leaves right about now is when you start being able to get some food other than like butchered lambs and eggs and things like that. And so it's kind of an exciting time, but it's also a time that's really associated with work. I talked about the summer solstice as Conceptualized as I see it as kind of a holiday of leisure because all the, all the plants are in the ground and all the work to foster them has happened. And other than keeping critters for meeting it, you just basically have to wait until it's ready to harvest. Well, now it's time. And so I associate. This holiday also with work and vocation, and also with technology with tools because You know, there there's a, a real charming quality to the aesthetic that's associated with modern paganism, the sort of medieval Europe, Renaissance, medieval Europe kind of aesthetic. But if you route all of your. You're framing in that you miss out on the many benefits of modernity and technology is amazing. It's done incredible things for us. It has, it has caused our quality of life nearly universally throughout the world to rise at least to some degree.  Yucca: Not equally,  Mark: no, not at all. Not at all, but, but still it has enabled us to create a great deal, more food than we were able to otherwise, and to communicate over vast distances and to explore space and to process information in, in such rapid, incredible ways and to develop medical technology, to expand our lifespans and  Yucca: Go to the bottom of the ocean and all kinds of things. Yeah.  Mark: Right. All kinds of  Yucca: Do this. We, we pointed out a lot, but just how amazing this is. So as we record, we're looking at each other's faces from, we should actually figure out how many miles apart we are, but  Mark: we should.  Yucca: far yeah.  Mark: yeah. pretty far.  Yucca: Recording this and then putting it on the internet and then you, the listener are downloading it and you might be listening to it in your car or your pocket or wherever it is that you are just so boggling. Right? Mark: My, my partner in the was saying this morning, the 21st century is amazing. We're old enough to remember when the 21st century was really going to be the future. And that was, you  Yucca: cars  Mark: in 2001, a space Odyssey and all that kind of stuff. So It didn't quite work out that way, but there's still a lot. That's really remarkable about where we have arrived as humanity. And so I think about technology at this time and technological advance and, you know, I do stuff like defragment my heart drive and, you know, make sure that everything is backed up to the cloud and just some sort of maintenance things that this gives me a point in the calendar to focus.  Yucca: Yeah. just good to have those scheduled in there or else they just don't happen until your hard drive crashes. And then you're panicking. Mark: And then, then you're crying and you're sending your hard drive off to Texas to have the data pulled off it and buy some very expensive service, which I had to do once. And it was no fun.  Yucca: Hmm. Yeah. Well, I, I love that. Take that you have bringing the, bringing a recognition and celebration. Yeah. To our practices on things that aren't thought of as traditionally pagan and yet are so important to our lives. And when our paganism is about our lives and our experience with the world, it's really important to include all of it. Not just the pretty romantic stuff, but you know, the whole picture, that whole cycle. Mark: Exactly. Exactly. So, and we can do that while not glossing over the many negative impacts that the advance of technology have caused. You know, we can certainly, I mean, it's not exactly the time of year for grieving, but we can certainly, you know, mark. Those impacts in our recognition, but that doesn't mean that we should ignore those accomplishments. You know, very much like this was the traditional time of the Olympic games in ancient Greece. And so many people associate athletic contests and sort of feats of athleticism with this holiday as well. And there's, there's sort of a mod modern equivalent to that because it's, this is the time when people go to the beach and play volleyball, and there's a lot of sort of outdoor recreation happening,  Yucca: Yeah. Mark: but I feel like the sorts of. Achievements that we can most celebrate in this time are much more cerebral achievements than they are athletic achievements. I mean, athletes do amazing things and that's wonderful and records continue to be broken over and over for how fast people can be and how strong people can be and all that kind of stuff. But the transformative nature of some of these technologies, can't be under spoken. There, they simply have been game changers for humanity. And it's, it's important for us to, you know, raise a glass door, scientists and engineers who have who have brought these things to us.  Yucca: Yeah, definitely. Mark: So how are you planning on celebrating this, this season, your monsoon season?  Yucca: Well, first of all, this is the first real monsoon we've had in probably near a decade. I haven't.  Mark: Well,  Yucca: Yeah, so we're still, so I'm in the Southwest. I'm in Northern New Mexico high desert that's 7,000 feet. Not sure what that is and meters, I can look that up, but we're in a very dry, somewhat extreme environment. And this is the time of year that we get rain. And the whole region, I think pretty much the whole half of the continent has been experiencing drought recently. But we've gotten some rain and traditionally what happened will be dry. All your dry, dry, dry. We might get a little bit of moisture, snow storms in the, in the winter, need that for the, the mountains to get that snow pack in there, but then months of dry and then the monsoons come and there's storms that come in the afternoons, the, the mornings are clear and cool. And then we'll start to creep up, get hot. And then the monsoons come and they rain down. And this is the only time of year that things are green and they haven't been green in years. So it's amazing right now I'm looking out the window and there's little. There's new grass. There's grass, seedlings, grass has sprouted up in just the past few weeks and there, most of that grass is not going to make it. Unfortunately we can, you know, as land managers do what we can to try and, you know, put a little bit of mulch down and try and imitate the biology that was lost that this land needs. But this is the time of. This is the time of the, of the grass, the grasslands, the Rangers just blooming back, popping up. So we see this as our monsoon season, but it's, it's the celebration of the grassland. our, our approach for the wheel of the year is, well, there's, what's going on in terms of the Earth's position with the sun and the temperatures and all of that. But we also associate each season with some part of the biosphere that humans are intimately connected with and dependent upon. So. You'll or winter solstice is the time that we celebrate the forests. But this is the time of year that we celebrate the grasslands, the brittle environments. So a brittle environment is one like this, where you might get moisture, but it's not uniformly distributed throughout the year. And so different types of life have to exist in systems like this are our recovery processes are different than the non brittle environments that. moisture, whether it's a lot or a little, they get regular, so they can have very different decomposition processes than us. So we celebrate that grass. And for me, it's very special as my first degree was okay. Range ecology and management and working in restoration. So that's something that's just an eye that I have for anyways. I just love it and I'm fascinated by it and work in it. But it's the celebration of the grasses.  Mark: Yeah.  Yucca: we're doing lots of playing outside, mostly in the mornings in the evenings because the middle of the day is rough. When the storms are coming, running out and playing in the storms And we get it. So seldomly that it's like, oh, kids go get muddy to get as muddy as he possibly can. And as the adults, we will be cheering with with some beer, which we aren't big drinkers. We might have maybe a bottle or two a month of either beer or cider, but it's the celebration of the grasses. And that's, you know, that's where it comes from. So that's, what's going on on our side.  Mark: Great. That's great. I honestly don't know what I'm going to be doing this year. Sometimes I have invited people out to the coast because we're, we're like 25 miles from the Pacific ocean. Maybe 30 and the Pacific ocean is pretty impressive. I mean, I've been living relatively near it all my life. That's an awful lot of water. And and it's very fierce. It's it's misnamed. The Pacific ocean is, is definitely misnamed. The Atlantic coast doesn't get nearly the kind of ferocity in terms of waves and so forth if the Pacific coast does. But this time of year, it's a nice time to go to the beach and barbecue something. And. Play around and just be outside because we've been moving. And because of all the tumult that's been happening in my life right now, I haven't been able to put anything like that together yet, but I I'm still considering putting out feelers to some friends and seeing if they'd like to go out to the coast for for a little gathering and ritual next Saturday or Sunday. So that would be, and, and I should say that the actual midpoint between the solstice and the Equinox is around the 7th of August. So you've got, you've got a while in there to find a time that works for you and do something that feels appropriate to the season. Obviously. In a modern context, weekends tend to work out better for a lot of people. So that's what I tend to focus on. But Yeah. so that's, that's the sort of thing that I'm thinking. And also on the atheopagan isms, zoom mixer that we do on Saturday mornings, we're doing a ritual as well on zoom.  Yucca: Nice. Mark: Yeah. So I had something else also that I wanted to read that I had forgotten about, but now I remember which is that this is also the point in the season that the earliest of the gray it's tend to happen. And it may not be that may not be true this year because we've had so little in the way of water that everything is, is behind. But  Yucca: And intense heat and your area as well,  Mark: intense heat. Yes. We've. We've had a lot of reasoning and, and I mean last year, pretty much everybody's crop was lost because of smoke taint because of the smoke from the wildfires. Now this year, the question is, is there going to be anything that isn't turned into raisins to harvest? So pretty rough on the, on the grape industry right? now. But anyway because the, the traditional song, John Barleycorn must die is associated with this holiday. And it's also frequently the time when the harvest of the grapes, which we call the crush happens around here. I rewrote John Barleycorn Must Die as Joan Zinfandel Must Die. Zinfandel is a variety of grapes. That's grown around here quite a lot. It's a rich red wine and it's, it's very delicious. So I will read this redone version of John Barleycorn must die called Joan Zinfandel Must Die. There were three menne of the West County, their fortunes for to trye And these three menne swore upon an Oaken Tree Joan Zinfandel must dye   They've planted, trellised, and shorne her limbs And left her bare abed And these three menne swore a solemn vow Joan Zinfandel was ded.   They let her lye for a very long time, 'til the rains from heaven did fall And little Dame Joan sprowted out bright buds, and so amazed them all They've let her stand 'til Harvest Day 'til her arms were greene as grass And little Dame Joan's borne some full round fruit: a fulsome, ripened lass   They've hired menne with their knives so sharp to cut her fruit from her arms They threwe her into a wagon then, and rolled her unto the barn They brought her to the crushing floor where they crushed her to a mash, Squeezed her blood into fermenters, and added yeast: a dash.   They racked her to a barrel of oak, where dark and coolness dwell And there they made a solemn oath on poor Joan Zinfandel They've hired men to load her high with mighty lifts of forke And the bottler he has served her worse than that For he's bound her behind a cork.   And little Dame Joan in the crystal cup and she's brandy in the glass And little Dame Joan and the crystal cup proved the bravest lass at last The good folk they can't cook nor serve, nor live this life so well And the merchant he can't seal deal nor debt without a little Zinfandel   Yucca: great. I love your reference to the forklifts in  Mark: Yeah. The mighty lifts of forke...  Yucca: Well, yeah, there's something just charming about taking the kind of old timey language and tunes and applying it to the modern world.  Mark: Yeah. I agree. I agree. Yeah. So. As always, we hope you really enjoy this holiday that you, you take time to celebrate this moment in the year and look around and see what's happening in your local environment and with your local your local, agricultural and, and biotic cycles. And And as always seek happiness, seek joy because this, this is all too short Yucca: Yeah. Mark: we need to celebrate it as we go.  Yucca: Yes. Mark:  Thank you for this Yucca. It's been really a great time to have a conversation.  Yucca: Likewise, Mark. 

Thursday on Political Rewind: First lady Jill Biden is in Savannah today. Her visit is designed to encourage younger Georgians to become vaccinated against COVID-19. The Georgia Department of Public Health reports that only 6% of those between ages 12 and 15 have been fully vaccinated, even as the new school year approaches at the end of the summer break. Compared to other states, overall rates of immunization remain low in Georgia. Only 39% of residents are fully vaccinated, according to health department data. Low vaccination rates continue to be a concern as epidemiologists consider how best to contain the virus.  "This is really a pandemic of unvaccinated people," journalist Keren Landmen said. "The more spread we have among unvaccinated people — it's not just that there are consequences for [the unvaccinated], but there are also consequences for the virus. It gets more fit and more able to evade the defenses that vaccinated people have." Overall, the pandemic's grip on the state has loosened. New cases and hospitalizations have fallen to new lows, and deaths from the virus have become far more rare. As a result, Gov. Brian Kemp lifted the restrictions he had imposed more than a year ago. But because Georgia remains in the lower tier of states for putting shots in arms, especially in rural areas, how should public health officials respond to this latest stage of the pandemic? And what are best practices for the public as current rates of infection, and vaccination, remain low? Panelists: Dr. Carlos del Rio — Executive Associate Dean, Emory School of Medicine and Grady Health System Dr. Keren Landmen — Epidemiologist, Health Journalist Andy Miller — Editor, Georgia Health News Kevin Riley — Editor, The Atlanta Journal-Constitution

Acid House NFTs | Genesis'88 NFTs | NFTs FutureWayne Anthony discusses the option of digitally archiving EDM history including The Second Summer of Love in 1988. Wayne is internationally recognised for staging some of the biggest illegal Acid House (Rave) parties in history. It was the effort of his organisation Genesis'88 and a handful of other large scale party promoters that pioneered a series of events never experienced in the UK. Genesis'88 flyers are highly sought and sell for hundreds of pounds. Wayne shares some thoughts and opinions on how promoters, artists and musicians can reclaim ownership over their creative output. Wayne was the first person to mint an Acid House NFT in the form of a Genesis'88 Chapter 1 flyer. A fitting beginning for archiving a generational shift unlike any other in history. Wayne has already created limited edition Acid House artwork for minting into NFT and will continue to explore this area.Host: Wayne Anthony (Genesis'88 / Class of 88 Author)Supporting the PodcastWe have only recently launched the video and audio podcast, which means we really need the support of our viewers and listeners. The team will provide high quality interviews at every endeavour. Once published we kindly ask YOU to help share the message. This is accomplished in the following ways. Tell everyone that will listen about the podcast. LIKE the posts wherever you see them. Leave a REVIEW and COMMENT, let us know how we're doing. It's important that you SUBSCRIBE to our Youtube Channel. SIGN UP for our newsletter, we don't spam. FOLLOW us on Social Media and SHARE, COMMENT. If you own a website feel free to EMBED our videos. We need YOUR help to grow, do it now before you forget. THANK YOU NFTs (Counter Culture): https://rarible.com/wayneanthony88Official Merch, Stickers & More: https://acidted.redbubble.comNetworkWebsite: http://theeightyeightpodcast.com/Youtube Channel: https://www.youtube.com/c/TheEightyEightPodcastInstagram: https://www.instagram.com/the88podcast/Twitter: https://twitter.com/The88PodcastFacebook: https://www.facebook.com/Theeightyeightpodcast/Support this podcast at — https://redcircle.com/the-eighty-eight-podcast-introduction-00/donations

Creator of Banned Board Game ‘Rave' 1990Patrick Treloar of The Wow Lab is the creator of a interactive board game called RAVE. The Second Summer of Love had come to pass and Patrick like countless others was caught up in the cultural shift of the moment. In 1990 he hatched a plan to produce said board game and within a relatively short period the completed boxed RAVE game was sitting in his living room. The company battles to get the game into shops for Christmas 1990. Supplying retail giants such as Virgin Mega Stores, WH Smiths & Woolworths in 1991. The game graced shelves for six weeks before a ban was introduced that started with Virgin Mega Stores. Patrick Treloar shares many stories about the journey from conception to distribution and collection.Host: Wayne Anthony (Genesis'88 / Class of 88 Author)Guest: Patrick Treloar (The Wow Lab)NOTE: MATURE LANGUAGEIn This Episode*   In The Days before Acid House*   Kenneth Tappenden v Wayne Anthony*   Hero Super Cop Kenneth Tappenden*   The Games Conception*   Sensationalised Acid House Press*   Legalising MDMA for Medicinal & Research*   Designing the Rave Game*   Getting It Into Shops*   Testing the Gameplay*   Distributing Games to Retail Outlets*   Employing Consultants - Emptying the Pot*   Reading Gameplay Cards (Vibe, Stash, Dance Cards)*   Designing the Games Graphic*   Virgin Ban Rave Game After Richard Branson Phonecall*   Collecting the Board Game from Retail Outlets*   Developing the New Rave GameOfficial Merch & Products: https://acidted.redbubble.comResourcesSupporting the PodcastWe have only recently launched the video and audio podcast, which means we really need the support of our viewers and listeners. The team will provide high quality interviews at every endeavour. Once published we kindly ask YOU to help share the message. This is accomplished in the following ways. Tell everyone that will listen about the podcast. LIKE the posts wherever you see them. Leave a REVIEW and COMMENT, let us know how we're doing. It's important that you SUBSCRIBE to our Youtube Channel. SIGN UP for our newsletter, we don't spam. FOLLOW us on Social Media and SHARE, COMMENT. If you own a website feel free to EMBED our videos. We need YOUR help to grow, do it now before you forget. THANK YOUOur NetworkWebsite: http://theeightyeightpodcast.com/
Youtube Channel: https://www.youtube.com/c/TheEightyEightPodcast Instagram: https://www.instagram.com/the88podcast/
Twitter: https://twitter.com/The88Podcast Facebook: https://www.facebook.com/Theeightyeightpodcast/Support this podcast at — https://redcircle.com/the-eighty-eight-podcast-introduction-00/donations

Book: https://bit.ly/356FBCi Welcome to the twelfth episode of podcast Comprehensible Slovak for those who are learning Slovak Language. In this episode I will talk about my first second in the USA and. My new webpage: https://comprehensibleslovak.weblahko.sk/ Transcript: https://comprehensibleslovak.weblahko.sk/K-stiahnutiu/Podcast%2012.pdf?1604824153 Please leave feedback at comprehensibleslovak@gmail.com

Acid House 1988 | Police Raids | The DungeonsEarly Acid House initiates may remember the Rave at the Cave. A mechanics railway archway in Elephant Castle, South London. A venue which hosted a series of iconic events at the height of the Second Summer of Love 1988. Attracting up-for-it party enthusiasts from all corners of the city.Two of the original promoters DJ EllisDee & Steve Whyte (DJ Chalk E White) share their untold stories. This small underground venue is widely ignored by history. Podcast host Wayne Anthony attended most of the events staged there. Rave at the Cave was brought to dramatic closure when raided by a police squad that rolled up on a train. Accompanying the raiding party was investigative TV news program World in Action. On that very night across London in Aldgate East, Wayne Anthony and partner Andrew were holding their first Genesis'88 event.Watch on Youtube: https://youtu.be/l4PyWmFt4vAShare, Like, Subscribe, Comment & Follow;Website: http://theeightyeightpodcast.com/Youtube Channel: https://www.youtube.com/c/TheEightyEightPodcastInstagram: https://www.instagram.com/the88podcast/Twitter: https://twitter.com/The88PodcastSupport this podcast at — https://redcircle.com/the-eighty-eight-podcast-introduction-00/donations

The Anfield Wrap on Citytalk this week has Sean Rogers and Ben Johnson joining Neil Atkinson to look ahead to the summer for Liverpool Football Club. What sort of plans with Jurgen Klopp be putting in place and what sort of plans should he put in place? Liverpool changed their shape this season - Klopp 433 being something we hadn't seen much of last year. Could he do something like that again? What sort of transfer moves should Liverpool be looking at making? Neil, Sean and Ben look at all the angles. Learn more about your ad choices. Visit megaphone.fm/adchoices