Podcasts about Smell

Guided Visualisation: Smell AwarenessA gentle guided visualisation to bring you into the present moment through smell, part of a series connecting you with each of your senses. This practice guides you to notice the scents around you and how your breath carries them, helping you feel more grounded, present and connected to your body.Please do not listen whilst driving or operating heavy machinery.Head to thenakeddoula.com for the Fearless Birth Toolkit, the Fearless Birth book & journal, and more digital guides to support your fearless birth.

Full show - Tuesday | Kids are gross | News or Nope - Taylor Swift, the Colorado Railroad Museum, and Anne Hathaway | What should Erica get her husband for his birthday? | Best smell ever | Song Showdown Winner - Spelling | Passing a cop | Enraged Erica - Taylor Swift hate | Deez nut rolls | Stupid stories www.instagram.com/theslackershow www.instagram.com/askslacker www.instagram.com/ericasheaaa www.instagram.com/thackiswack www.instagram.com/radioerin

ON THE LATEST EPISODE OF "CALL ME MISTRESS", MIA AND CHARLES SITS DOWN TO TALK ABOUT A SISSY HUCOW WHO NEEDS TO BE BRANDED, SOME TLC FOR AN ADULT BABY, AND SMELLIN' DEM PITS!THERE'S SO MUCH FUN ALL IN ONE EPISODE JUST FOR YOU!WWW.MIAREYHOT.COMWWW.THEMISTRESSSHOW.COM

Have you ever met someone who just oozed peace? The kind of person who you felt instantly safe with, even though you didn't know them? What would it be like if that's how people described you? Candace and Annie talk through what it means to be the aroma of Christ everywhere you go, including a moment at a Dairy Queen, and what courage looks like when it shows up in your everyday life rather than one dramatic moment. They open with a listener question about emotional eating, and Candace shares what her counselor taught her about naming why she reaches for food and refusing to keep secrets around it, and this episode closes with a listener question from Janice about holding onto faith through repeated hard seasons. You can find a free quiz from Annie's book at candace.com, and while you're there, sign up for email and text updates. Join the Together community at candace.com/together to ask questions and a prayer group with other listeners. Life is like a rollercoaster, but it's better when we go through it together! Connect with Candace Bure and Annie F. Downs. Candace on Instagram @candacecbure  Follow the Podcast on Instagram @candacecameronburepodcast  Follow the Podcast on TikTok @ccbpodcast Annie on IG/ TIKTOK: https://www.instagram.com/annieFDowns/ Annie on Youtube: https://www.youtube.com/channel/UCa-tPvY6HODihpmzjDV_KxA Sponsors For This Episode 316 Financial https://bank316.com/candace-cameron-bure CrowdHealth joincrowdhealth.com Code CANDACE IFCJ ifcj.com  GCU gcu.edu Nello drinknello.com Code CANDACE Learn more about your ad choices. Visit megaphone.fm/adchoices

Erica loves the smell of a cold hotel room...whatever that means! What's your favorite smell?

Can Smell Training Help Your Brain? Simple Olfactory Exercises for Brain Fog and MemoryNeed help?https://drhughwegwerth.com/Can your sense of smell help exercise your brain?In this episode, Dr. Hugh Wegwerth explains how the olfactory system, or your sense of smell, connects closely with important areas of the brain involved in memory, emotions, and brain function.You will learn how simple smell-training exercises may be used as a gentle way to stimulate the brain.In this episode, you will learn:How smell signals travel from your nose into your brainWhat the olfactory bulb and olfactory nerve doWhy smell has a strong connection with memory and emotionsHow the hippocampus is involved with memoryHow the amygdala connects smells with emotional memoriesWhat neuroplasticity means in simple termsHow repeated smell training may help the brain build stronger connectionsHow to practice smell training at homeWhy using familiar scents like orange, peppermint, lavender, and eucalyptus may make training easierWhy testing each nostril separately may be usefulHow smell training may be a gentle brain exercise for people dealing with brain fog or reduced sense of smellA Simple Smell-Training ExerciseChoose several familiar scents.Try scents such as:OrangePeppermintLavenderEucalyptusLemongrassClose one nostril and gently smell one scent.Then switch sides and test the other nostril.Before looking at the label, try to identify the smell.If you cannot recognize it at first, that is part of the exercise. Repeating the process may help train your brain to recognize smells more easily.Think of it like going to the gym.You may start by lifting a light weight. Over time, your muscles become stronger.Your brain can also change and adapt. This ability is called neuroplasticity.The goal of smell training is simple:Stimulate the olfactory systemChallenge the brainPractice identifying smellsBuild stronger brain connections over timeDr. Hugh also discusses research on olfactory enrichment, memory, brain stimulation, and healthy aging and explains why scientists are interested in the connection between smell and brain health.If you are interested in brain fog, memory problems, cognitive health, olfactory training, neuroplasticity, concussion recovery, or natural ways to exercise the brain, this episode will give you a simple introduction to how smell training works.Topics discussed:Olfactory bulbOlfactory nerveSmell trainingBrain fogMemoryNeuroplasticityHippocampusAmygdalaCognitive healthBrain rehabilitationEssential oilsOlfactory enrichmentBrain functionDr. Hugh WegwerthFunctional MedicineThis podcast is for educational purposes only and is not intended to diagnose or treat any medical condition.

Sounds of Darkness 670908 - The Smell of Death

Proletarian writers | 26 August 2026 With the interests of rulers and the ruled-over diverging ever more sharply, the means used to divide our ranks are becoming ever more poisonous. Britain's national flag represents a history of empire, colonialism and the oppression and exploitation of workers at home and abroad, yet it is used to foster a false sense of shared history and shared interests. Native-born British workers are asked to identify with their ‘own' ruling class – to celebrate its crimes while vilifying those of their fellow workers who were born elsewhere. In reality, there are two nations in Britain: that of the British exploiters on the one side and that of the British exploited on the other. All workers, no matter where they were born, are today groaning under the burdens of inflation, unemployment, poverty, housing crisis, healthcare crisis and war drive that are the result of continued rule by the British imperialist financiers. And it is they whose interests the Union Jack really represents. Reproduced from the Class Consciousness Project, with thanks. ------------------------------------------------ Subscribe! Donate! Join us in building a bright future for humanity! www.thecommunists.org www.lalkar.org www.redyouth.org Telegram: t.me/thecommunists Twitter: twitter.com/cpgbml Soundcloud: @proletarianradio Rumble: rumble.com/c/theCommunists Odysee: odysee.com/@proletariantv:2 Facebook: www.facebook.com/cpgbml Online Shop: https://shop.thecommunists.org/ Education Program: https://thecommunists.org/education-programme/ Each one teach one! www.londonworker.org/education-programme/ Join the struggle www.thecommunists.org/join/ Donate: www.thecommunists.org/donate/

Welcome back to our weekend Cabral HouseCall shows!   This is where we answer our community's wellness, weight loss, and anti-aging questions to help people get back on track!   Check out today's questions:    Dana:  I'm a 42 year old woman in perimenopause. During the middle part of my cycle, around when ovulation should be happening, I notice that my urine has a very strong smell compared to the rest of my cycle. This lasts about a week. I'm not dehydrated and I don't eat anything differently during this time than I do any other time of the month. This has been going on monthly for at least 6 months but probably closer to a year or more. Is there any cause for concern? What could be causing this? Is this something that can be expected with hormone fluctuations, and if so, why would it have started now but not been going on the rest of my life?      Anonymous: I'm in perimenopause and working with a functional medicine doctor who determined that all 3 of my sex hormones were low. She has put me on several supplements including Pregnenolone. After taking the supplements I noticed that I was experiencing joint pain while not having changed anything else diet or exercise wise. After some removing and adding back I determined that it is the pregnenolone that is causing the joint pain, she finds it very odd. What reasons would this be happening? I live in a country where I can't order your supplements, what would be the best things to take to help boost hormones if I can't take pregnenolone?       Anonymous: Hi Dr CaBral! I recently got my IUD out due to constant spotting and some news about family getting cancer from years of hormone replacement. After having one for many years on and off, I thought it best to let my body just get back to it's natural state. I did a 7day detox and started taking progesterone support for a month after. After 3 months my cycles have returned back to normal, but I've started losing my hair, have dry skin and just dragging all the time now. My chiropractor/naturopath muscle tested and ovaries were not optimal at all, thyroid was a 2 out of 10, my system is showing blocked and my body is having a hard time detoxing on it's own. Overall I'm very healthy and was not having issues until now. I don't have the money to test right now. What can I do to get back on track?       Mackenzie: About a year and a half ago, I started getting what seems to be eczema flare ups around my eyes, specifically my eyelids and outer corners of my eyes. When it flares up, my eyelids become red, swollen, itchy and watery. The skin becomes thick and very dry and flakey. Around the time it began, I did move into a new building, and my partner has noticed a spot on his neck similar to what I get around my eyes. It seems to flare up more when I eat too much sugar/gluten, but I also sometimes have flares when I don't eat those things. Recently it has only flared when I have a virus, ie a cold/flu or HSV outbreak. I'm an IHP1, and recently completed the Vita-Min Tox test and the only thing noted was slightly high aluminum levels which I am working on. What do you rec. I focus on next? Thank you!!       Anonymous: Hello Dr.Cabral, hope you are well. Regular viewer of your weekly ask cabral content. Not asking for medical advice but wanting to support my immune system during immunotherapy for my liver. They mention potential autoimmune side effects, I know your releasing a new resource or course regarding cancer. Hoping you touch on Immunotherapy on it. I read your research page. It was very extensive and helpful.       Thank you for tuning into today's Cabral HouseCall and be sure to check back tomorrow where we answer more of our community's questions!    - - - Show Notes and Resources: StephenCabral.com/3886 - - - Get a FREE Copy of Dr. Cabral's Book: The Rain Barrel Effect - - - Join the Community & Get Your Questions Answered: CabralSupportGroup.com - - - Dr. Cabral's Most Popular At-Home Lab Tests: > Complete Minerals & Metals Test (Test for mineral imbalances & heavy metal toxicity) - - - > Complete Candida, Metabolic & Vitamins Test (Test for 75 biomarkers including yeast & bacterial gut overgrowth, as well as vitamin levels) - - - > Complete Stress, Mood & Metabolism Test (Discover your complete thyroid, adrenal, hormone, vitamin D & insulin levels) - - - > Complete Food Sensitivity Test (Find out your hidden food sensitivities) - - - > Complete Omega-3 & Inflammation Test (Discover your levels of inflammation related to your omega-6 to omega-3 levels) - - - Get Your Question Answered On An Upcoming HouseCall: StephenCabral.com/askcabral - - - Would You Take 30 Seconds To Rate & Review The Cabral Concept? The best way to help me spread our mission of true natural health is to pass on the good word, and I read and appreciate every review!  

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Earlier this month, world model company Runway introduced GWM Worlds 2, a research preview that “turns high-fidelity video and audio generation into real-time interactive simulation.” Runway calls this an “autoregressive diffusion” model; with autoregressive describing how it generates over time.One new feature in particular caught our eye: WorldPrompt, a proposed input format for specifying a generated world and the actions within it. It allows you to fix some aspects of a simulated environment — including the first frame — and then create a series of timestamped events. The events, or actions, can even be prompted in real-time.To understand the implications of WorldPrompt, we spoke to Kamil Sindi, Runway's CTO, and Robin Kahlow, its Principal Research Scientist for generative video and multimodal AI. We also have exclusive comments from Anastasis Germanidis, co-founder & co-CEO of Runway, courtesy of a podcast swyx and Vibhu did with him.Who's building real-time interactive world models?First, some context about world models that can generate interactive video and audio in real-time.Runway is reportedly valued at $5.3 billion, based on its most recent fund raise of $315 million in February. Its first release, GWM Worlds, was launched last December.Alongside Runway, there are several other notable projects in this domain: Google DeepMind's Genie 3 (which also generates at 720p and 24 fps), Odyssey-2 Pro, and World Labs' RTFM (Real-Time Frame Model). We've summarized their differences in the following table:Given the complexity and massive latency demands of real-time video and audio generation (which we'll get into below), all of the projects listed above have limitations. For instance, Google notes that Genie 3 “can currently support a few minutes of continuous interaction, rather than extended hours.”But as our interviews with Runway show, real progress is being made.The central idea of WorldPromptWorldPrompt, a new feature in GWM Worlds 2, helps differentiate Runway from its competition. You can think of it as a control layer for characters, cameras and the environment. As Kahlow put it, it's a way to “control all the different subjects in the world” — similar to a computer game.“Like, if there's an NPC [Non-Player Character] somewhere, the NPC might walk up to you and say something. So you could achieve the same thing with this kind of model, where you can have very detailed control over everything in the scene.”As the name suggests, WorldPrompt is a prompting mechanism — not a programming language. So, unlike virtual world games like Minecraft or Roblox, GWM Worlds 2 doesn't offer scripting capabilities or the ability to control state. But there's a power to that, as Sindi pointed out.“You can create promptable worlds on-demand with video and audio in sync, across all these different domains and environments. That's not a distant-future hypothetical thing,” he said.But there are also limitations to prompting a world model. We asked how reliably the model would follow an instruction to create, for example, a law of gravity or a certain ability in a character?“Yeah, so it's a research preview,” Kahlow replied. “So it's not perfect, of course, and there are still flaws. It really depends on how difficult the action is. I would say movement works quite reliably.”Sindi added that more training plus scaling the data and models is resulting in “better following.”How a video model becomes a real-time runtimeDespite the current limitations of GWM Worlds 2 — especially if you compare it to pre-designed and scriptable worlds like Minecraft or Roblox — the true promise of world models like Runway is that they'll eventually lead to fully self-generated, real-time games and experiences. Which is an extremely hard engineering problem, as Kahlow reminded us.“There are two challenges. One is making the model not generate a whole clip at once. So instead, you want it to generate frame by frame while you're looking at it. And the other challenge is actually making the generation fast, so you can play it in real time.”GWM Worlds 2 offers real-time interactive worlds streamed in continuous 720p video at 24 frames per second (fps) and audio at 48,000 Hz.Runway achieved this firstly by taking its foundational audio-video generation model and fine-tuning it to the new WorldPrompt format, so the model can follow that. It then post-trains the model to generate autoregressively.“And after that, we work on making it real-time through distillation methods,” Kahlow added.Co-CEO Anastasis Germanidis offered more technical details in our podcast with him. He told us that the process starts from “bidirectional diffusion that basically generates an entire video at once and [makes] it autoregressive.” This allows the model to “generate one frame or a few frames at a time.”Germanidis described two possible forms of distillation in order to make it real-time: distilling a larger model into a smaller one or reducing its diffusion steps. As a general example, he said a model might go from around 50 denoising steps to four, with some quality loss but potentially comparable results.The challenges of real-time generationGermanidis admitted that there were issues with how it generates real-time interactive video.“The biggest challenge with autoregressive models is error accumulation,” he said. “You're feeding generated frames back into the model to generate the next frames, and if there are any small errors, they accumulate over time.”Sindi told us there are also challenges dealing with “infinite generations” of content.“There's all these challenges around what context to keep, what to discard that's not important. And so there's all these optimizations we have to think about, so we're not blowing up our GPU memory.”Another current limitation is long-term memory. “The model does not have perfect memory,” Kahlow said. “That's still an open research problem.”Causality and correctnessWhile performance is the primary challenge for Runway at this time, its world model also has to produce plausible consequences when a user takes different actions.Germanidis used the example of simulating football; he pointed out that online video training data contains more successful goals than failed goal attempts, so a video model might render the first more convincingly.“If I take this action versus this action, you want it to generate equally realistic outcomes,” he told us. “That's, I think, the big gap between video models and world models: that idea of counterfactual generation.”Sindi told us that evaluation gets harder the more complex interactions get.“If you have this multi-prompt, multi-character, multi-scene [environment], how do you really understand what was causal and what was not?”To try and solve that, Runway has some automated verifiable tests. But since GWM Worlds 2 is a research preview, Kahlow noted that doing tests yourself is also advisable — “trying out your model to see what doesn't work is really important.”More than gaming — there are agent use cases tooGaming is the obvious use case for what Runway is building, but there are others. Kahlow mentioned robotics — for example using a simulated environment to test how a robot works.Another, more intriguing, use case is to use it to test agents at scale.“Having thousands of simulated environments is much less challenging if you have a suitable model like GWM Worlds,” Kahlow said.But how does an agent know what's changed in the world — is there a structured state that it can read, or is it just the generated video and audio that it's consuming and understanding?“So there's no structured state here,” Kahlow replied. “It's just observing the same thing you might observe in real life, just [in this case] from cameras.”Sindi noted that GWM Worlds can also be used for “synthetic data generation for agents.”Finally, Germanidis suggested there's potential to use these world models alongside reasoning models.“You're maybe using some reasoning [for] planning of the scene, and then you're passing it into the diffusion head that's actually generating the pixels.”Anastasis Germanidis* LinkedIn: https://www.linkedin.com/in/agermanidis/* X: https://x.com/agermanidisTimestamps00:00:00 Introduction00:05:17 Runway's Origins and the Bet on Generative Video00:12:23 The Stable Diffusion Story00:18:44 Gen-2, Controllability, and the Weekend Hack00:23:02 From Video Generation to World Models00:28:03 Learning From the World, Not Just Language00:35:04 Sora, Runway's Existential Crisis, and Gen-300:39:39 Why Real-Time Video Is Inevitable00:43:06 Interface World Models: Software Without Code00:50:25 The Fully Neural Operating System00:55:11 World Models for Robotics01:02:32 Robot Policies and World Action Models01:07:47 The Lucid Dream Test01:11:41 Video Agents and Omni Models01:23:12 Artists, AI, and Creative Workflows01:27:14 Physical AI and the Future of World ModelsTranscriptIntroduction: Runway, Creative AI, and the Early ThesisSwyx [00:00:00]: Okay, we're here with, Anastassios from Runway, with, me and Vibhu in the studio. Welcome.Anastasis [00:00:08]: Good to be here.Swyx [00:00:09]: Congrats on all your success and progress with Runway. You're opening offices all over the world. Did you envision this when you first started out?Anastasis [00:00:16]: Not quite. I think even when we started, we had this idea that, It was more a matter of when, not if, we were seeing the early generative models of 2016, 2017, and just extrapolating, assuming, we resolution, quality increases predictably over time. There's gonna be a point where most of content will be generated, and that was maybe the initial thesis of Runway was we will need, as a result of those generative models, rethink how creative tools are made. and as we built out the research behind, our generative models, it then became clear that they were useful far beyond that as well.Anastasis' Background: Art, Simulation, and Machine LearningSwyx [00:00:57]: And it is more obvious now with, like, the real-world stuff and the world models that we'll talk about later. I'm just kinda curious how you go from a background in, like, Zocdoc and, computer vision into Runway. Like, take us back to that early conversations with Chris and, whoever else is on your founding team.Anastasis [00:01:14]: I was always splitting through those two worlds. One was the I had my own art practice. I was making a lot of interactive art, I think for a long time. and then on the other side, I was working in startups, and I was working as a ML engineer, as a backend engineer at different companies. I've always been interested in, coding and computation, and especially interested in simulation and brought it back into my early artwork as well. And at the same time, I was interested inSwyx [00:01:43]: The personal site has a few, right?Anastasis [00:01:44]: Yeah.Swyx [00:01:45]: Is there one that we should pull up? Just in case there's something that's like. I just like to go down memory lane.Anastasis [00:01:50]: Yeah.Swyx [00:01:50]: Okay, what is this?Anastasis [00:01:51]: So this was, a project that I made, I think back in 2015, where I built this software that would give, voice instructions to people in a gallery space. So it would coordinate interactions between people. And so it will first give you an identity, like you're an, architect, you're 30 years old, and, you like sports. and then it would match you with another person, and you have this completely generated interaction. language models were not quite there at the time, and so it was it was a mix of some templates and some, like, some Markov chain-generated text, and it would just completely simulate these small talk conversations between, everyone in the gallery space. so was always very fascinated on the one hand with, generative models and, like, the early machine learning work that was being at that time. But at the same time, there was this separate thread of simulation and what it means. Like, what can we learn about humans by creating those very simple models of their interactions and their behavior?Early Generative Art: pix2pix, GANs, and Uncanny ValleyVibhu [00:02:56]: Did you generate the prompts or, the 30-year-old, whatever? Was it you generating them? How'd you, how'd youAnastasis [00:03:03]: Exactly. So the program would just generate- those, from. Yeah, a lot of it would be Mad Libs style of justVibhu [00:03:10]: YesAnastasis [00:03:10]: You have lists of different professions, lists of different,Vibhu [00:03:14]: HobbiesAnastasis [00:03:15]: Personality types, lists of different, ages, things like that. And then it would just combine those things together. And then maybe the next project we go is, Uncanny Valley, Uncanny Road, which wasSwyx [00:03:27]: GansAnastasis [00:03:27]: One of the first projects that, we built with, one of my two co-founders, Chris. This was taking, pix2pixHD, which was one of the early image-to-image models that NVIDIA released back in 2016 or 2017. and it was a model that would take a semantic map of a scene and then generate a photorealistic, let's call it, output. very early days, so it was not very high-fidelity outputs, but it w I think was the first image-generation model that could generate at 1K resolution. And it was all trained on self-driving datasets. So the semantic categories it would support were only, things you would encounter on the road. So it would be pedestrians, traffic signs,Vibhu [00:04:16]: StoplightsAnastasis [00:04:17]: Bikes, stoplights. And so that was one of our first indications that we built this and people were making all this, like, very surreal imagery of, yeah, a million plus a million pedestrians or a million traffic signs or, like, gigantic humans. And it was a indication that you could take a model that was trained on this very boring dataset, essentially, of, like, not that many interesting things happen when you're on the road, and then you can repurpose it and go very out of distribution and make something that was artistically compelling. And that was It's a summary of the thesis of Runway in some ways, that you can take the same generative models, and if you look at them from another direction, if you build interesting tools around them and you give them to artists, they're gonna do things that you don't expect.Vibhu [00:05:02]: Very cool. I like the, UX of it. You're just given an empty canvas, try whatever, do whatever. And then the other one, like, you see everyone with wired headphones? Like, that's, that's a sign that it's, it's veryAnastasis [00:05:16]: The AppleVibhu [00:05:17]: YeahAnastasis [00:05:17]: Apple, your version.Vibhu [00:05:17]: Original ads. Yeah. Take us to today. You've been doing this for seven years at Runway. How have we got to this? Like, how do we go from driving simulator data to all this? And you cover the whole stack of generative media?From Creative Tools to a Research LabAnastasis [00:05:33]: Interestingly, we're almost back in, we're, we're full circle. We're, we're now applying our models and beyond creative tools into real-world scenarios. But it was a, it was a long journey. It was very early on we realized the first version of Runway was a way to easily use the, all the open source model of the day, things like pix2pix to. and give them to artists. That was the initial idea, is those models are too difficult to use if you're not a machine learning engineer. Like, what happens when you give them to artists? Very quickly, we realized we needed to build a research org, inside of Runway, and that happened maybe on year one. And, a lot of the mandate there was. The image-generation models of the time, the video generation models of the time, or there were barely any video generations all the time, but they were not quite there where they could be productionized and brought into tools that would be part of creative workflows. so we need to push the frontier of the research. And so maybe the first four years of Runway, research was almost happening on the background until there was a moment in 2022, with latent diffusion, with, DALL-E 2, where, there was that step function change, and you guys maybe remember around the time.Swyx [00:06:49]: I started in this space because of latent diffusion and Stable Diffusion.Anastasis [00:06:54]: Yeah.Swyx [00:06:54]: Because I was like, “Wow, this is not only, like, feasible, it is doable on consumer hardware.”Anastasis [00:07:01]: Exactly, yeah.Vibhu [00:07:01]: I think the delta is also huge. Like, I learned pix2pix. Like, this was intro to ML, the TensorFlow, like, Jupyter, Google Colab notebooks were like this, and then you have a sudden step function change, with diffusion and whatnot. Any other ones since that. Like, there were clear examples of what early diffusion were to get to here. Any other changes in key technology research?Green Screen, Rotoscoping, and Early RunwayAnastasis [00:07:26]: Between, 2018 when we started and 2022?Vibhu [00:07:29]: Yeah.Anastasis [00:07:29]: So one of the early work that we did in Runway was solving segmentation, image and video segmentation. It was a very important problem because most VFX involves essentially separatingSwyx [00:07:42]: RotoscopeAnastasis [00:07:42]: Subjects. Yeah, rotoscoping. Extremely manual process. Nobody enjoys doing that. and so a lot of the early days of Runway was building this tool. It was called Green Screen, and it was for a long time the main thing that people were using Runway for. It ended up being used in, Everything Everywhere All at Once and a bunch of other high-visibility films and series. But that was essentially, Runway for a long time was a post-production tool until latent diffusion and generat- Gen-1, Gen-2, happened.Swyx [00:08:12]: Cool. let's, let's go past that moment. You've come a long way. Then you started releasing your own models. Maybe describe that journey as well.Scaling Video Models and the Bet on 1,000 A100sAnastasis [00:08:20]: Yeah, so we go to the other point, yeah, in mid-2022 when it became clear that we're doing research at a fairly small scale of compute, and it became clear that, like, scaling laws would apply to, image and video gen in the same way that we're applying to language generation. So we made a big bet, and I think at so at the time, we signed this deal to build a cluster of a thousand A100s, which at the time we were a Series B startup. That was a almost, slightly irrational decision maybe, but we really believed that if we trained a video model at a large scale, we would get, like, a great model at the end. And at the time, the goal or we set the goal around fall of 2022 of what is, what does the latent diffusion, Stable Diffusion moment look like for video? And at the time, the best model of the time was called CogVideo. it was one of the early video models. It was very 256 by 256 resolution, very not very high quality. and so we decided we're gonna build out this cluster, and we're gonna just invest in, like, in building out our own video model. it became clear as we're training Gen-1 that it was difficult to get to fully. we wanted to build text-to-video, but it became clear to us that an easier starting point would be to start from video to video. Because when you have a stronger conditioning, it's, it's an easier problem to restylize an existing video versus generate the video from scratch. And so we released Gen-1 first back in, it was January of, 2023. Yeah.Vibhu [00:10:04]: It's just a fun visual podcast, honestly. Like, if we can see February 2023, what was the state of stuff?Gen-1: Video-to-Video and Depth ConditioningAnastasis [00:10:10]: It's so interesting ‘cause at the time when you see those results, you think this is so incredible, and this is like, it's almost like image generation or video generation is solved. And then you look back a few years after, and it's like, it's It's just like you get used to the results very quickly, with those models. But at the time when we started seeing those results, it was, it felt quite incredible, and the level of, like, quality that you could get. And, so the Gen-1 was a depth-conditioned video model, so it would turn. it would take a input video, it would predict. it would it would first convert it into the depth map, and then we would generate, pixels with a latent diffusion model.Swyx [00:11:01]: Yeah, very effective.Vibhu [00:11:02]: Yeah. I didn't realize how distracting the blog post would be. Sorry.Anastasis [00:11:05]: Yeah, but, one of my favorite examples of on those, on Gen-1 was both, if you go up to mode three or mode two, there was this storyboard use case where people would makeVibhu [00:11:18]: OohAnastasis [00:11:18]: WouldVibhu [00:11:20]: You can mess around with theAnastasis [00:11:20]: Make a city out of books or out of boxes, and then they would shoot a video with their phone and then translate it into a photo-photorealistic output. There was all these ways in which those models were starting to be used for storyboarding and also for really. and then if you go to mode four, like, of taking untextured 3D scenes and then turning them into photorealistic output. So we saw a lot of use cases early on where people that were familiar, were power VFX editors would just take a blender, render, and then they would get translated in with Gen-1 or create a scene in Unity and then take a capture a video of it and then translate into, restylize it. So I still think video to video is powerful. I think we had a recent video-to-video model as well, and it's one of my favorite ways of using those models is essentially using them to use ground truth video as, like, the initial inspiration and then translate into different styles or different outputs.Stable Diffusion, Stability AI, and Open SourceSwyx [00:12:23]: But I think we're gonna go into, like, the rest of Runway and catch people up to speed today. I did wanna cover the, let's call it the Stable Diffusion controversy, or, what happened with Stability AI, whatever. I think there was a two sides of the story. I think there's part of that is a normal thing of, like, people, join and leave companies, but what is the, retrospective now that, there's been some years behind it?Anastasis [00:12:49]: Yeah, it's a very, it's a very long story to go into. I think it wouldSwyx [00:12:53]: Which I remember you wrote a really long post about.Anastasis [00:12:56]: We would probably cover the whole hour to go into it in more detail. But, essentially, there was the latent diffusion paper that came in, I think that was at the end of, 2021. And then Patrick Esser, who was one of the researchers behind, latent diffusion, and he worked at Runway at the time, he built latent diffusion in collaboration with Robin Rumbach and a few other folks back, in the in, CompVis, which was, a labSwyx [00:13:26]: Like a research group, yeah.Anastasis [00:13:27]: And, after releasing the early latent diffusion model, they, essentially they were. the goal was to keep working on versions of the model, scale it up, incorporate new data, incorporate new tasks. And Stable Diffusion was the same model, but trained on more compute, and then with a few more tricks, like a classifier-free guidance paper came at some point, I think in the early 2022. And thatSwyx [00:13:52]: Which, like, was a big prompting improvement.Anastasis [00:13:55]: Yeah.Swyx [00:13:55]:?Anastasis [00:13:56]: That improved results. it was trained on better data, so like, the esthetic subset of LAION, but it was effectively, the same underlying architecture. And there was that big training run, that, happened on Stability's cluster. Stability financed that run. And looking back at that story, I think it was the work to build and train that model was done. It was a, it was a research project. It was done as part of, like, continuation of the latent diffusion work. It then, I think it the model became very successful, and it, I think there were the. And I think as a result of its success, other companies tried to, figure out the commercialization path for it. But for us, it was very important that we try to, we make sure that we. It was meant to be an open source research project, and so the we decided that we should continue releasing versions of it, since that was the original goal of Stable Diffusion, and that led to releasing Stable Diffusion 1.5. There was maybe a day of, a bit of, miscommunication there, but ultimately that was resolved very quickly within hours. so yeah, there wasSwyx [00:15:12]: OkayAnastasis [00:15:12]: Not a niceSwyx [00:15:13]: I just wanted to. you have toAnastasis [00:15:15]: Yeah.Swyx [00:15:15]: You're one of the main players in that journey, and so it's nice to hear from the source of, like, what happened. Yeah.Anastasis [00:15:22]: Yeah. I think it's all, it's all in the past nowSwyx [00:15:26]: YeahAnastasis [00:15:26]: I would say. and, like, both companies, Stability took its own path, Runway took its own path.Swyx [00:15:32]: Yeah. There's still. James Cameron is backing the new Stability, whatever they're doing with the Hollywood studios.Anastasis [00:15:38]: Right.Swyx [00:15:38]: I don't know what they are doing. I think one thing that impresses me, and I'm happy to move on, is that back in the that time, let's say, like 2021, 2022, there was this community of people that you were involved in that was researching all this stuff, right? And, like, from everyone I talked to who was active then, it seemed like it was fairly obvious that somebody would do the hero training run that would produce Stable Diffusion. So, like, I guess the question is, like, you had the you were you had made investments. You were you had the foresight. Is it accurate to say, like, that is reflective of, like, what people were thinking at the time? Or was it still very much like, “Well, we'll use it as, like, a post-production tool or something. I don't know.”? Like, where in the sentiment were we that maybe you can think back to, like, what the community was like back then?The Early Creative AI CommunityAnastasis [00:16:28]: I reminisce and I think very fondly those early years, from like 2018 to 2022, because it was a very small community that, as you said, were very convinced that this was gonna be a big thing. And at the time, anyone who. Because it was such a small circle and, everyone who would, like, be part of that circle and, like, make projects with it would, immediately get, go viral. so likeSwyx [00:16:55]: And you didn't know who they are, right? They're just some name on a, GitHub or Hugging Face somewhere.Anastasis [00:16:59]: Exactly, yeah. So I remember one of the first big viral moments of creative AI was, there was the neural style transfer paperSwyx [00:17:09]: HuhAnastasis [00:17:09]: ThatSwyx [00:17:10]: Something dreaming?Anastasis [00:17:11]: I think it was called neural style transfer.Swyx [00:17:14]: Okay.Anastasis [00:17:14]: There was also Deep Dream, the puppy sliceSwyx [00:17:16]: YesAnastasis [00:17:16]: Which was, also really cool. but, yeah, there was this project that, Jim Kogan, who was an early advisor of Runway and one of those,Swyx [00:17:25]: Marketing guysAnastasis [00:17:26]: Big, creative AI, folks, he literally just, like, showed a video of himself taking the New York Subway and going over the Williamsburg Bridge and then stylized it with, I think in the style of Van Gogh or, like, one, painter. And that was. Like, at the time, that was, like, so cool and it went viral and it was completely revelation to people that you could do this with generative models. And that was only, it was less than. It was maybe 10 years ago. So just, like, as an indication of, like, how quickly things have gone.Vibhu [00:18:02]: It's pretty crazy. Like, even since then, you've got people at every level of the stack. You've got devs, creatives, artists, hobbyists. You've got everyone using it. And for people that tried stuff early, they'll remember how hard it was to use regular diffusion, right? Like, nowadays, you can use your favorite ChatGPT image gen or whatever, give a sentence, get a beautiful output. But diffusion was like, the whole ultra HD, 4K, high resolution. Like, prompting these things was very different. anything you learned on the tooling side, like from the offerings you guys have now, so like creatives, devs, you really took the. Research and brought it to everyone to use. anything interesting there to share?From Gen-2 to Controllable Video GenerationAnastasis [00:18:44]: We had to build the entire model serving infrastructure for video diffusion models. There was nothing else, already, like, because we had Gen-2 was the first text-to-video model, I think, out in the market. So many things that we learn over time. I think the I think the biggest one was, like, we. it was very clear early on that text-to-video was not gonna be the answer. Like, you. Like, people wanted a lot more control than that, and so we invested in, like, control building on top of those models very quickly. how do you use the camera trajectory as control? How do you use an initial input frame as control? So that was a very early learning for us. With text-to-video was, like Gen-2 was an amazing, step function improvement in the quality of video models, but it was used much more in an exploratory way because there was nothing to ground it to. There was no reference that you could bring into it. There was no. You couldn't really control the camera motion. You couldn't control the object motion. And so the first year, in 2023, was really all about what are all the interesting ways in which we can condition those models? And it was a lot of just post-training rounds on top of the base model to figure out, like, what, -- how do people wanna control them? And so there was, like, this quick succession of the we it was called Motion Brush, which was you could, like, you could draw arrows and dictate where things should move in the scene.Vibhu [00:20:09]: That's so cool.Anastasis [00:20:09]: There was camera control that was you could just describe, like, how you want the camera to move in the scene. And because we work with filmmakers from the most of the history of Runway, we immediately got this feedback and got this, decided that this was worth investing in. And so control ability became a big theme, I think, very early on as we were building, as we were building those models. Something fun that I haven't really talked about too much was just how Gen-2 came to be out of Gen-1. So it was a bit strange because we announced Gen-2 two months after Gen-1 andHow Gen-2 Came From a Weekend HackVibhu [00:20:43]: We're accelerating.Anastasis [00:20:44]: It was before Gen-1 was even generally available. But Gen-1 was a depth-to-video model, so it would take a depth map and it would convert it into RGB. and we couldn't get, text or image-to-video to work directly, and that's why we started from depth to video. but, and we had discussions of like, okay, we need to spend the next six months investing in text-to-video, maybe increasing the compute scale or the model scale, like train a larger model. And I had this weekend project idea, which was, what if I take a model that, starts from text input and converts to depth maps and then use Gen-1 to convert the depth maps Into RGB?Vibhu [00:21:29]: It would probably work.Anastasis [00:21:30]: And so Gen-2 was that.Vibhu [00:21:32]: Oh. The hackathon pipeline.Swyx [00:21:35]: The weekend hackathon pipeline.Anastasis [00:21:36]: Yeah.Vibhu [00:21:37]: But it looks good.Anastasis [00:21:38]: And it worked pretty well. there were if you, with the knowledge that it has this, like, two-stage pipeline, you can tell in some cases that the structure of the video looks a bit off because you had to generate the depth first before you go into the output video. But it worked and it allowed us to bring this to our, to users very quickly. But it's now it's interesting because, like, people are coming back to this almost two-stage approach. Like, if you look at the Reve text-to-image model that came a few months ago, it had this planner model that would generate bounding boxes before it fed that into the diffusion transformer.Swyx [00:22:19]: Yeah, Ideogram also the same day.Anastasis [00:22:22]: Yeah.Swyx [00:22:22]: I remember that was very strange that both of them came out the same day with the same exact innovation.Anastasis [00:22:26]: It's a small community, I think.Swyx [00:22:28]: I'm like, this is like, this is completely coincidental, right?Anastasis [00:22:32]: People talk. So yeah, there's, there's definitely something into this approach. And, now, like every single like, video generation model in production uses a complex prompt completion pipeline under the hood. I think that's no secret that there is. ThatSwyx [00:22:48]: Humans are terrible at prompting.Prompt Rewriting, Camera Control, and the Seed of World ModelsVibhu [00:22:51]: I think across the board.Anastasis [00:22:51]: Yes.Vibhu [00:22:52]: But yeah, I think like the original Sora one blog post even told you that what happens after your input is rewriting your prompt. It's much more descriptive about what you would want.Anastasis [00:23:02]: Exactly. I, And there was the DALL-E 3 paper beforehand that, was the first public, description of the fact that synthetic captions and really detailed captions work really well. And then Sora built on that. Yeah, so it was 2023. We were releasing all these updates to Gen-2, like the camera control, Motion Brush. And there was something very interesting about camera control because it was the first time that you felt that instead of, like, you were creating video, you were creating a short video, you were navigating inside the world. And I think camera control was maybe the seed of some of the ideas that we had around world models and really opening up that research direction. We realized, it was this era and this series of, Gen-1 and Gen-2 models really proved to ourselves, yeah, this is theSwyx [00:23:56]: Cool.Anastasis [00:23:57]: So this is not the original camera control. This was the updated camera control on top of Gen-3. But yeah, I think it made those models usable to filmmakers, I would say. The so camera control was very popular. And so we realized, there is one way of seeing those models, which is, you're just as content creation machines, and there is the other way, which is you're. As you're predicting video in order to predict video well, you need to simulate the world in an increasing and increasing capacity. And if scaling laws apply on video, just like they apply on language models, then as we scale the compute that we put into those models, then they're gonna be able to simulate physics, they're gonna be able to simulate human actions and dynamics increasingly well and predictably well. That was the thesis about around our efforts on world models, and we spin up this research group to just focus on the world models and how do we turn the video generation models that we're building into something broader and something that would be useful beyond, also content creation as well.Swyx [00:25:04]: And that was roughly when?Anastasis [00:25:06]: Yeah, so that was inSwyx [00:25:06]: OhAnastasis [00:25:07]: In late 2023.Vibhu [00:25:08]: Interesting. like, I think, a lot of people have been saying a lot of video gen model companies have all pivoted to world models these days, but like, 2023, you're posting it. oneWorld Models: From Video Generation to SimulationSwyx [00:25:21]: It's, it's debatable whether it's a pivot.Vibhu [00:25:23]: Yeah.Swyx [00:25:23]: Like, arguablyVibhu [00:25:24]: YeahSwyx [00:25:24]: That's what you always had to do anyway, right?Anastasis [00:25:26]: It's in a way an expansionVibhu [00:25:28]: YeahAnastasis [00:25:28]: Of the applicationsVibhu [00:25:29]: YeahAnastasis [00:25:29]: Of the models as they become more capable.Vibhu [00:25:31]: The early signs, it seems like the original models you guy had, guys had, people would say it's very not bitter lesson pilled, right? You're adding, rewriting prompts, you're having all these one-off things, but that's just the state of the tech as it was versus the future of as you said, you can scale it up as, we can scale up to world models.Anastasis [00:25:50]: Yeah. So it just became. And if you looked at the outputs of Gen-2Vibhu [00:25:56]: YeahAnastasis [00:25:56]: It was not. I think it was not obvious to people that this would scale to become a general simulator of the world. Like, you had very limited movement, you had, very low fidelity or low resolution, like obvious mistakes in human anatomy, like all kinds of limitations. But it was just, the idea was that's just GPT-two, and GPT-two, it can barely generate, like, coherent sentences. Similar, Gen-2 can barely create coherent video, but if you scale it up, you're gonna. There is no reason why it shouldn't work in a way. It's, And I think that was. That's, that's always the mindset of Runway is like this extrapolation of, like, if, like, even when we started in 2018 and you looked at the results of the day, you need to look more at the trend of, like, where we were in 2018 versus when we were at the, when the first GAN came out in twenty, four 2014 or twenty, fifteen. And, you started from, like, thirty-two by thirty-two images of faces, and then by the time in 2018, you could generate, street images at the 1K resolution. And it was the same with world models, very early signs of something much bigger.Swyx [00:27:08]: Yeah. I was gonna say, like, it's diffusing into focus. Like, if you look at our visible output from year to year, it looks like a diffusion process itself.Anastasis [00:27:17]: Yeah.Vibhu [00:27:17]: Especially watching the early, like, old blog posts, you can really see the choppiness, the details.Anastasis [00:27:24]: Yeah. Like human civilization starting from random noise and thenVibhu [00:27:27]: YeahAnastasis [00:27:27]: Denoising intoSwyx [00:27:28]: Yeah. Just run it a hundred years.Anastasis [00:27:30]: Civilization.Swyx [00:27:30]: Yeah.Vibhu [00:27:31]: That's how you're on track, you're still noising, right?Swyx [00:27:34]: Yeah. I like the way that you guys phrased it when you, announced it in June, which is, oh, that you had a video essay. “The human mind is no longer the center of AI. Our world is.” Right? Which is, let's, let's call it the past five years of LLM-based AI is very much like trying to emulate human preferences and human speech. But now that's, like, mostly solved. I think that's, like, some of the context of your essay, which you also wrote around the time. And now it's like the focus is on modeling the world accurately.Scaling Laws for Video and Why Predicting Pixels MattersAnastasis [00:28:03]: Exactly, yeah. So the way we see it is, there is that, initial mission statement of DeepMind, which is, solve intelligence and then use it to solve everything else. But I think it's starting from everything else, could be valuable of, like, starting from. there is just so much complexity, and detail in the world that in order to. That it's, it's hard to learn directly from just human descriptions of the world. Like, we're assuming that, like, language models learn from everything that humans have written about the world, like our own understanding as of, the twenty twenties. And there is just so much that we don't know and so much that's not captured by existing text, about both the low level dynamics of the world, like we're not describing in detail. if I tell you to describe, like, how do you tie your shoes, that's a very difficult thing to describe in words, but it's very obvious thing to demonstrate. And so I think there's been. And there's, more of X paradox, like we're constantly underestimating all the complexity that goes into very, like, things that we do subconsciously as humans, and we don't even necessarily always have the words to describe them. And so in my mind, the simulating the world and simulating, physics, simulating the dynamics of the world has always been underestimated, compared to, we place too much emphasis on the things that are easy to talk about. but there is just all this complexity and richness of the world that if we just try and train directly on that observational data instead of training on how people describe the world, we would learn something new that we wouldn't otherwise know.Swyx [00:29:54]: You think that the present architectural paradigm is fine? You don't need, like, another layer, like JEPA, like another famous, New York AI leader would say?Anastasis [00:30:05]: We're a very pragmatic research lab. If, we have evidence that an approach works better than the approach that we're taking, then we have no qualms to taking it. We just have seen no indication that video prediction itself doesn't scale. And even if you look now, not just our work, but the work of others, you're seeing in robotics some of the most promising work, starts from video prediction models, and then you adapt them to also the action models, for example. so there is very little evidence that you need something else and that your time is better spent on a novel architectural change compared to improving data and improving the, and scaling the current approach. And so, We don't have any indication that. the, there is that counterargument that I think there was a tweet by Yann LeCun a few days ago that, understanding the dynamics of the world is very different than, generating, cute videos.Swyx [00:31:05]: And your answer is no, they're the same thing.Anastasis [00:31:07]: Yeah, they're the same thing.Swyx [00:31:08]: My cat videos are the same as understanding physics.Anastasis [00:31:11]: Right, because if you wanna generate. video models can cheat and, like, they could you could give, like, successive dif shots of the scene in a way that doesn't require you to simulate difficult physics. There is like, all these different ways in which you can hide the deficiencies of the model, and it's important not to be too tricked by the performance of the current video models. It's easy to, cherry-pick examples and think that video models are further advanced than they are. So there is a lot more work that we need to do to improve those models. But in my mind, very similar to language, and, like, we've. you go from barely coherent sentences to something that, could hold a conversation with a human to something that could can operate autonomously for a day and, like, create entire code bases. And the main difference, there is some architecture improvements along the way, but the main thing is scale. And so it's the same bet for video, and we have no indications that this is saturating. Like, we have benchmarks that we use for measuring the physics of those models, and we see those predictably improve as we scale those models. So there is. If you want to Google up, Physics-IQ, is one of those benchmarks that measures how well does the model perform at solid mechanics or fluid dynamics or optics.Vibhu [00:32:32]: I'm curious if you've seen any emergence, any scaling law around this.Swyx [00:32:37]: Yeah, he's saying there is a scaling law, right?Anastasis [00:32:39]: Exactly.Vibhu [00:32:40]: Yeah,Anastasis [00:32:40]: So the way those models, those benchmarks work is you. the researchers have gone and, like, captured, a few videos that are representative of different physical phenomena, and then you can take the first frame and then pass it through an image-to-video model and then generate a rollout that shows what should happen next. So you have, a ball hanging from the ceiling, and then you use that as input, and then you the model predicts how the ball should fall on the ground. and this measures. we have an intuitive understanding of physics. I know, you can imagine what will happen next if I drop this bottle. So it's measuring that same intuitive physics understanding of those models, and we've measured that at different model scales, and we see, and compute scales, and we see that the score on physics IQ predictably improves. There's other, tricks and techniques that you can make to improve the score even further, but even scale alone helps, in the model learning better physics.Swyx [00:33:40]: My main sympathy with Yann LeCun is the, Plato's cave allegory, right? Like, you're, you're, like, learning on the output of a thing, not the internal process of a thing, and it's very noisy. And, if only you could observe the internals of a thing. It's hard to observe the internals of a human mind, but you can very much observe, or at least we have a whole branch of science and physics that we're ignoring on how to model Physics and movement and, gravity and, other interactions. and we're just, like, throwing away all of that and just saying just scale data, which is very much the lesson of unsupervised learning, but it feels wrong. that's the main idea.Anastasis [00:34:21]: I think the history of machine learning is, at large, it feels wrong.Swyx [00:34:25]: Yeah. It's a bitter lesson, right? Yeah. It's, it's, it's the simple answer to that.Vibhu [00:34:29]: I guess, how much can you scale? So, like, even on, let's say, the video generation side, like, there's one side of video understanding. Video generation, are we still gonna have tools where it's like, I wanna generate two hours, twenty hours? there's a infra way to do it in batches and stitch it together, but, like, do we just keep scaling? Do we just continue long generation consistency, all that at scale? And, like, tying it into where we're at now from we looked at Runway two to four point fiveGen-3, Sora, and Runway's Scaling InflectionAnastasis [00:34:58]: Yeah.Vibhu [00:34:58]: Like, technically, what advancements have we made to today, and then where do you see things still going?Anastasis [00:35:04]: So part of the answer is definitely scale. and that was. We learned that lesson in a big way for with Gen-3. So Gen-3 was the model we released the year after, like in 2024. That was a few months after Sora was released. so yeah, there's an interesting story of that came to be as well. Gen-3 for us was, the first time that we really needed to build. we had to learn all the lessons that the language model world learned in two in three years in the span of a few months. one of the biggest changes of Sora was using diffusion transformers instead of convnets. So a lot of the early, latent diffusion models were all, convnets for the diffusion model part. And the diffusion transformer paper came at some point in 2023, and it showed scaling laws for image, diffusion transformers. And we realized at that point that we needed to invest in infrastructure for model parallelism, for really scaling training to larger than, a few billion parameter models. And we spent maybe the, most of the fall of 2023 building out our infrastructure for distributed training. And we had a lot of false starts and a lot of failure in trying to scale, image and video diffusion transformers. And at that point, February 2024, Sora comes out, and the results areAnastasis [00:36:35]: Very much superior to what Gen-2 could produce. There were a lot of, a lot of chatter on Twitter about Runway. Runway's done. like, there is no way Runway will catch up. And if you remember, also OpenAI in the early twenty-It felt very, like it's aSwyx [00:36:56]: To the moonAnastasis [00:36:57]: It's a formidable opponent now, but at that point, it, they were on the top of their game. nobody could even get close to them. There was maybe Gemini was just the first version of Gemini had just released. So when OpenAI came with Sora and it was such a big jump of like quality, it gave me, there was like an existential crisis for a few hours. But that, I think the amazing thing about Runway and like I think the, we've been around eight years now, which is almost we're dinosaur in AI, and we had to like, we had there was a lot of those moments we had to learn, adapt very quickly and build out skill set in the team that we didn't have. And so, if you ask anyone what is their favorite time at Runway that was there during that time, it was that push in like three months to get to a model better than Sora. and it, we scaled 10x the model scale, the model size and the, compute that we were training on. we figured out model parallelism. We had zero expertise in that. And then we came out with Gen-3 during that summer. So that was a big turning point, I think, for the company where the research org grew very quickly, and we really started pursuing this vision of the general world model, in earnest, I think after Gen-3 was out.Swyx [00:38:12]: Yeah. that's the amazing thing about building when you're building. There's no stack to. You have to invent everything yourself. You have to be completely full stack. Now I think like there are inference specialists like Fal or whatever that can help with like, model serving, and I think you guys work with them as well. but yeah, like it's, it. But at the time, it was just. It's very interesting to think about what you do when Sora comes out and people are questioning whether your company should still exist.Distillation, Turbo Models, and Real-Time VideoAnastasis [00:38:41]: Yeah. And yeah, there was no, there was no VLM of diffusion models. Like, we had to build the whole model serving infrastructure and make things efficient. And a few months after we released Gen-3, we released the Turbo version, which I think was the first step-distilled model in production.Swyx [00:38:56]: That was a whole trend that we covered as well. Yeah.Anastasis [00:38:59]: So that allowed us, to serve those models at the larger scale, ‘cause I think the first version of Gen-3 was quite, expensive to serve.Swyx [00:39:09]: I think the whole like trend in like consistency models, Lightning and, Turbo and all these things somehow didn't really stick around. I don't know if you have any reflections on this. Because at the time, I was like, “Well, everything should start with a distilled model first, and then you can upscale,” right? It. your bigger models just turn into fancy upscalers, but like you should always draft with a smaller model and faster model, right? Because you can get it so quickly, like near real-time.Anastasis [00:39:39]: Yeah. I would not be so sure to say that didn't stick around. I think that, it's, it's likely to. that there is a lot of step-distilled models that are actively used in production. there is still a gap in quality compared to the, non-distilled model. but in my mind, we're still. there is a two to three year offset from language models. So the things that, So it's just a matter of time before there is better distillation techniques. we use. Right now we have a real-time model core character that I think is the largest deployment of real-time video models, that's a step-distilled model, and it's actively being used. It's a very specific use case compared to a general video model. So this is aSwyx [00:40:27]: Very cool, by the way.Anastasis [00:40:27]: This is avatars stuff, right?Swyx [00:40:28]: Consistency, character.Anastasis [00:40:30]: Yeah. So this is a talking avatar, model. we were able to. we optimized the hell out of it, and it generates at 24 FPS, and it's a, it's a step-distilled autoregressive video model. So if we look at our world model direction, a big component of it is starting from the bidirectional diffusion that generates entire video at once and making autoregressive shows. So you generate one frame or a few frames at a time. so there's a lot that goes into that pipeline of getting to a real-time model. It's first you need to make it into a causal autoregressive model, and then you just turn it into. You need to do some additional step distillation to get it to be real-time. and I think that part is just starting. I'll be very surprised if we're, two years from now, we don't primarily use real-time models. To me, real-time video generation is just inevitable that, it has much better user experience, it's much cheaper to serve, and, the quality gap between the base model and the real-time model is only gonna close as we figure out better, distillation techniques. And we made a lot of progress there internally on maintaining the quality of the base model when we distill them.Swyx [00:41:49]: How much of this is transferable? So is it the same base model? Like if you're doing diffusion across the whole sequence and you're converting it to step autoregressive distillation, is this like distillation where you still need to train both, you can use the same base and converter? What's that process like to go from regular model to something that's real-time on a technical level?Anastasis [00:42:11]: So the nice thing about diffusion models is you have, two axes of distillation. So there is the. You can distill to a smaller model, which resembles what you do in LLMs, or you can distill in terms of taking less steps, less diffusion steps. So you could take a model that generates in fifty steps and generate in four steps and get to, You have some performance, degradation, but very often you get comparable outputs. So you can even take the large frontier model and distill it with step distillation and get to a real-time performance, and that's what we've seen. So, depending on the use case, in some cases we might also serve with a smaller model, but in a lot of use cases, we just use theSwyx [00:42:56]: Step distillationAnastasis [00:42:56]: The frontier model, and we're able to make it work in real-time.Swyx [00:42:59]: I think this might be a good time to cut over to his laptop to show off some of the real-time stuff that you're doing.Interface World Models and Neural SoftwareAnastasis [00:43:06]: This is one of the research updates that we did recently. so we've been working and f in getting our general world models to, different applications. one of them that we think is very compelling is using general world models as essentially, an interface, a universal interface to software. This is a version of our world model that's called an interface world model. and the idea is that it essentially, replaces, the, front end of a software application. It renders the pixels directly of an interface and is trained to predict what happens next as a result of, a click or another interaction you have with the interface. So this is all pixels. it's there is no HTML, CSS, React that's powering this interface. This is directly at the output of our real-time, video generation model, and it takes clicks directly as input.Swyx [00:44:09]: And drags, click and drag.Anastasis [00:44:12]: Right. So it supportsSwyx [00:44:13]: Ooh.Anastasis [00:44:14]: Yeah, clicks. It supports drags. it also supports scrolling. and the amazing thing about this is that you can effectively describe in the prompt how you want different elements, like what do you want the behavior of different elements to be. So it's almost you're you can turn, an interface from, markup language description of, like, an HTML interface, and instead you can just describe the interface. if I press this button, I expect this to happen. If I press this button, this should happen. And it's useful, we believe, both for prototyping, for, like, just testing, like, what different interactions would feel like. you can also add audio to it. So it's a video audio generation model. So you get you essentially can describe both what the visual outcome should be of your click and also what the if there is a sound effect that comes out of it. So we believe that's gonna be a much more flexible way of building software. Just render. It just, in why generate the code that generates the pixels? Just generate the pixels directly.Anastasis [00:45:18]: It's the end-to-end philosophy applying applied to front ends.Anastasis [00:45:25]: So we think there is a few interesting use case. So you can build creative tools on top of it.Anastasis [00:45:32]: We think that, for any use case that involves a lot of exploration or, like, educational use case where you wanna learn about a new concept and you want some visualization and like, and open-ended exploration, we think those this is a very powerful, approach. you can imagine new forms of, design, industrial design software that could emerge as a result of those models. And this is all, generated in real-time as well. So, you can build a lot of interesting camera transitions and forms of interaction that are very difficult to build otherwise. And one way in which we evaluate this is what if you try to generate the same interface with Claude by just, prompting Claude, “Here's an image reference of my interface that I made in Figma or that I created somewhere else. create this particular interaction,” which in this case it's, drag that object, upwards. and beyond it being slower, it's also very difficult to capture some interactions by just fully, with just LLMs. So we think that this is likely to be the way that a lot of the future, like, software in the future will be created. and one of the additional benefits is personalization might be a lot easier done with those models. Like, you can essentially try out different prompts based on who is visiting the interface. You can, more easily, prompt engineer the interface to have larger size, text for more accessibility reasons, or you can make this or, like, if you have a particular aesthetic preferences. So we're very excited about this approach. It's early days, and I think we'll need to, make it more cost-effective as well to serve those models ‘cause, running a real-time video model versus just purely rendering HTML, there's -- the computational needs are much higher. but we do see a lot of potential in this approach to building front-end interfaces.Swyx [00:47:47]: So we covered this similar thing with Flipbook before with our, Ethan Hara episode with Groq, video. And yeah, I think it's very engaging visually. I think it's maybe very good for education, but it's it does sound expensive. I think there's an upper bound to how expensive it will be, though, right? Like, the inference cost will go down over time. You'll figure out ways to optimize it. Effectively, when it pauses, you don't you're not receiving human input. You don't have to generate anything, right? So.Anastasis [00:48:14]: Yeah, you could also. Like, in this case, you have ambient motion, so there is parts of the screen that might. if you're let's say you wanna, visit Paris and then you get this interface that allows you to explore.Swyx [00:48:29]: People walking. Yeah.Anastasis [00:48:29]: You have people walking or, like, things happening. But, it's, it's a no Yeah, it makes it more expensive because you need to run the model all the time. Maybe you have some looping mechanism so you don't need to do that. But all those things, I think, is stuff we'll need to figure out.Toward a Fully Neural Operating SystemSwyx [00:48:44]: Yeah.Anastasis [00:48:44]: I think our first consideration is let's make this clearly find some use cases where it's clearly a much more compelling interaction compared to traditional interfaces. And then it's a matter of time before it becomes more cost-effective to serve.Swyx [00:48:58]: Yeah. When it comes to the people walking, I think the approach that makes the most sense to me is Nick.Anastasis [00:49:04]: Nick.Swyx [00:49:04]: Oh, God. I keep messing up their name. With Chris Manning and Fanny Yan. I don't know if you've come across them, where they. Mapped to some game engine. I think it's Unity or something, or Godot. And they you can script some NPC behavior behind that and train on that. Whereas here, you can really imagine whatever you want. Like, that is a UI, right? Like, and it feels, like, more tractable, I guess, to, create a world model of software that is interactable because we have many of examples of that, and you can, do your fancy RL environment stuff on that than it is scaling up to embodied and real-world physical use cases. But this is a nice first step.Vibhu [00:49:43]: Or, there's the opposite of you have, like, one B models, three 50 million parameter language models. It just gets so small that they're just predicting, like, fishes moving.Swyx [00:49:53]: Small models are now 120 B, so.Vibhu [00:49:57]: Ultra mini on device.Vibhu [00:49:58]: But, no, I think it, like, it puts it into perspective, at least the car one for me, like, the applications, right? The amount of work to do that, sure, you only make one model year car per year, but applying this, it's also a cost-saving to have to manually make all this, right? So it opens up a lot of possibilities, too. I'm curious if you extend this out two, three years, so where do you see things going even further?Anastasis [00:50:25]: Effectively, the end game of something like interface world models is you have, a fully neural operating system. So I think, Andrej Karpathy has written about that quite a while back. But it's, You, I think to me it's, it's a bit, it's a bit odd that, we have, for example, with an interaction with an LLM of today, you have this LLM that can talk to you about anything. It can You can take the conversation in any direction. You can It's very general, so it can solve all those different tasks, but you interact with it through a very rigid interface. And so to me, it's just a matter of time before the interface itself becomes learnable and becomes, part of the whole loop of, like, you're not just delivering. You're delivering an application end-to-end, and that means you're delivering the language model, but you're also delivering the render and the pixels and that's also a learnable component. And the concept of applications might not necessarily. I think we'll need to figure out new abstractions for software. the concept of application comes from this idea that you need, separate code bases to describe, to, for, to power each individual, tool and each individual application. But you might think of something a lot more unified if you're. if you have, a video model that's generating the interface as you go. so it can take context from an LLM and allow you to combine different functionalities that traditionally would live in different applications. So it's a, it's a way to solve, software end-to-end, effectively. We also see this as a powerful way to train computer use agents as well. so this is, one way to see this as. And in general, with world models, there is those two directions. One is world models for humans and world models forSwyx [00:52:24]: AgentsAnastasis [00:52:24]: To train agents.Swyx [00:52:25]: Yeah.Anastasis [00:52:25]: And so for every new work of, world models that we do, we have this both uses become possible. So this is a powerful synthetic data generator for training computer use models. It could become, a live, RL environment that you could use to do online RL with a computer use agent, and you can get wide diversity of different interactions, kinds of interfaces, just generated on the fly that, to improve the how robust the, your agent, becomes. So that's the same also with the world models that we're working on for a robotics use case as well.Long Context, Error Accumulation, and Autoregressive VideoSwyx [00:53:02]: Is there a research breakthrough that you're Waiting for that would unlock the next set of use cases that you really wanna pursue?Anastasis [00:53:10]: Long context is a very important one, so being able to maintain consistency for long periods of time, and that depends on the use case. So for our characters model, for example, or for the interface world model, it's easier to maintain long sessions of interaction. If you go into more open-ended worlds that you navigate and you take arbitrary actions in, we, like, there is more the context at which you can and duration which you can generate becomes limited much more quickly.Swyx [00:53:40]: Yeah.Anastasis [00:53:40]: So we see more degradation and error accumulation happening. so the biggest challenge with autoregressive models is error accumulation, is you're feeding generative frames back into the model to generate the next The next frames. And if there is any small errors, they accumulate over time. That's not a new problem. It's a problem that LLMs also have, and we've seen the ability to generate now really long outputs. So it's a solved problem, but it's definitely still a challenge.Swyx [00:54:08]: Yeah. And what is the state of the art? so for Grok, it would be like 10 to 20 seconds of context going in there for video.Anastasis [00:54:16]: With our characters models, we're able to generate up to 30 minutes of video autoregressively.Swyx [00:54:21]: Yeah. But that's just for the avatars.Anastasis [00:54:24]: Yeah. So if we look at, GWM Worlds, which is more our open-ended world exploration model, it's, it's on the order of a few minutes, which is Yeah, soSwyx [00:54:35]: Probably enough for people because you have to cut to the next scene anyway, right?Anastasis [00:54:40]: Yeah, it's not, it's not the ideal game experience if you have to restart every few minutes. So I think. But, I think it's. Yeah, for certain kinds of game experiences, you can work around it.

Sue thinks there is a "Suitcase Smell" in her luggage after she travels, but Kendra disagrees....

Sue thinks there is a "Suitcase Smell" in her luggage after she travels, but Kendra disagrees.... the listeners called in to share their thoughts and give some tips!

Discover how our sense of smell can transport us back to meaningful memories, shape our emotions, and influence the brain systems involved in memory and mood.Summary: Smell is one of our most powerful and underappreciated senses, with a unique ability to evoke memories and emotions. On this episode of The Science of Happiness, we look at the science behind smell's close relationship with memory, emotion, and our environment and we explore how paying attention to the scents around us can bring us back into our bodies and help us feel more connected to the present moment. How To Do This Practice:  Step outside: Spend 10–15 minutes somewhere you can notice natural scents, such as a park, garden, or neighborhood. Breathe through your nose: Take a few slow breaths in through your nose and notice the scents carried in the air. Pay attention: Notice what catches your attention; don't be concerned with trying to identify smells Follow your curiosity: Move toward different plants, trees, flowers, or other natural elements and see how their scents change. Notice what comes up: Pay attention to any memories, emotions, or sense of place that a particular scent evokes. Stay present: Take a moment to appreciate the experience and notice how you feel after giving your sense of smell your full attention. Scroll down for a transcription of this episode.Today's Guests:SAMIN NOSRAT is a chef, TV Host, and best selling author of the book "Salt, Fat, Acid, Heat."ciaosamin.comLUCIA JACOBS is a Professor Emerita of Psychology at UC Berkeley. psychology.berkeley.edu/people/lucia-f-jacobsRelated Science of Happiness episodes:What Humans Can Learn From Trees: https://tinyurl.com/48te84psAre You Remembering the Good Times: https://tinyurl.com/ysbwrnr4An Awe Walk Through History and Possibility: https://tinyurl.com/mr3arrbcRelated Happiness Break episodes:How to Be in Harmony in Nature—Wherever You Are, With Yuria Celidwen: https://tinyurl.com/5n6pfsn2How To Ground Yourself in Nature: https://tinyurl.com/25ftdxpmThe Unexpected Joy of Slow Looking: https://tinyurl.com/4uudwwc2Message us or leave a comment on Instagram @scienceofhappinesspod. E-mail us at happinesspod@berkeley.edu or use the hashtag #happinesspod.Help us share The Science of Happiness! Leave us a 5-star review on Apple Podcasts or share this link with someone who might like the show: https://tinyurl.com/2p9h5aapTranscription: https://tinyurl.com/368p4u5v

Something is happening within you as you surrender your life to God and grow more in Jesus – You are becoming so incredibly attractive. You have a certain glow about you. You stand out. There’s something magnetizing about you. There’s a deep joy within you and it just seeps out of your pours. Others are seeing it! Something supernatural happens when your life is lived in close relationship with God. You can’t explain it and you can’t duplicate it in any other way. Let me tell you a story … At our Redwood Forest Retreat this past weekend, there was a lady named Kayla. Kayla is a sold-out, bold and courageous follower of Jesus. She knows exactly what Jesus saved her from and she lives every moment of her life in loud praise of him for that rescue and redemption. Life hasn’t been easy for her, but God has done a radical work of redemption in her. Let me tell you, you don’t spend time with Kayla and walk away the same. The Holy Spirit she carries in her truly does shift the atmosphere. On the final morning of our retreat, everyone except for Kayla went down to the shore for a time or worship, cold plunge and baptisms. Kayla said the Holy Spirit had prompted her to stay behind in the retreat house to spend alone time with him. That’s rare for her because Kayla has 10 kids and is actively involved in a street ministry in Sacramento. Sitting with God in this glorious cottage in the redwoods was perfection for her. While we were all floating around in freezing cold water allowing God to breath into us, Kayla was singing and praising back at the retreat house. Without any of us knowing, she was specifically praying to be a Christ-like-fragrance. Hmmmm, have you ever prayed that? Well, me neither! 2 Corinthians 2:15, “Our lives are a Christ-like fragrance rising up to God.” We returned to the retreat house within an hour to find the praise music blasting. And one of our retreat girls, Janiel, caught a whiff of the most beautiful perfume. It was coming from Kayla. In fact, the fragrance was so unique and beautiful, Janiel turned to Kayla’s sister and asked if she knew what perfume Kayla was wearing. Later we found out about her prayer that morning to be a Christ-like-fragrance. How wild is that? The Holy Spirit’s work in you makes you a beautiful fragrance!!!!!! Now, understand why. Why does a life surrendered to Jesus and lived in close relationship with him make you stand out with a glow? Why does it change your very fragrance? Well, this isn’t about you. This isn’t about you being noticed. This isn’t about you looking better. This isn’t about anyone admiring you. Trust me, this isn’t about you smelling good. This is about JESUS! Philippians 1:11 MSG, “Live a life Jesus will be proud of: bountiful in fruits from the soul, making Jesus Christ attractive to all, getting everyone involved in the glory and praise of God.” There it is – the Holy Spirit’s work in us with the results of love, joy, peace, patience, kindness, goodness, gentleness, faithfulness, and self-control all growing in us – this makes Jesus Christ ATTRACTIVE! Our surrendered lives make Jesus look good to others! And yes, that makes us stand out, that makes people see us different, that can even make us smell different – to the point that they ask, “What’s up with her, what does she have, and how do I get some?” But we have a unique way of making everything about us. We forget this isn’t about YOU being attractive – this is about JESUS BEING ATTRACTIVE IN YOU! Come back to that, Sis. You don’t need anyone to give you glory or praise. If that’s what you’re seeking, this has gotten twisted. And really, that happens so easily – I know it got really twisted for me for a really long time. God has been so patient with me. His grace over me has been undeserved. He humbled me and continues to humble me so I untwist this – it was never about me – it was always about Jesus. MAKE JESUS ATTRACTIVE! Then what happens as we make Jesus attractive with the way we live our lives? Go back to the rest of that scripture – We get “everyone involved in the glory and praise of God.” I sat back and noticed exactly how this happens while at retreat. We sat around a firepit on opening night and each shared what God is doing in our lives right now. Many had praises of how God has worked things out for them. Some had stories of how God was still carrying them through a reality they would have never chosen, yet they could see his fingerprints in the details. With each shared story we could see God’s glory and participate in his praise. While our stories were different, we could relate to God’s faithfulness on our own journey and apply his promises to our own lives. Every time someone shared a piece of their story, we all got involved in the glory and praise of God! On a very practical level, that’s how it happens! And let me tell you, Jesus was so attractive in our circle around that firepit! The fragrance rising up was glorious! So, Sis, this is what I want you to remember: You don’t have to try to be attractive. You just have to stay close to Jesus. Stay surrendered. Stay in His Word. Stay in His presence. Let the Holy Spirit keep doing His beautiful, sometimes uncomfortable, always transformational work inside of you. Because when you spend enough time with Jesus, He starts showing up on you. His love starts coming out of your mouth. His joy starts showing up in your face. His peace starts changing the way you respond. His kindness starts changing the way you treat people. His goodness starts changing the way you live. His self-control starts changing what you say yes and no to. And suddenly, without trying to be impressive, you become a living invitation to Jesus. People see something different. They feel something different. They may not even know what it is at first, but they notice. They wonder. They ask. “What’s different about you?” “How are you so peaceful?” “How did you get through that?” “Why aren’t you bitter?” “What do you have that I don’t have?” And that’s your moment. It’s not me. It’s Jesus. That’s the fragrance. That’s the glow. That’s the attraction. Not so people will notice you, but so they will notice Him. Your life becomes a little window through which someone else gets a glimpse of Jesus. Your story gives someone else courage. Your peace gives someone else hope. Your praise reminds someone else that God is still faithful. Your surrendered heart becomes an invitation for someone else to know the One who changed you. All around you, Jesus is calling people to him, and he’s using you as the reflection of his love and life-changing power. Those whom he is calling to him will be attracted. Those who are not being called, well – they won’t like you at all. You need to know that so you’re not discouraged. After Paul tells us about being a sweet perfume and Christ-like-fragrance rising up to God, he prepares us for the 2 very different ways that is received in this world. 2 Corinthians 2: 15-16, “BUT this fragrance is perceived differently by those who are being saved and by those who are perishing. To those who are perishing, we are a dreadful smell of death and doom. But to those who are being saved, we are a life-giving perfume.” Remember this – it’s not up to you who is invited into that life-saving relationship with Jesus. This isn’t about you. To those Jesus is inviting, you will help attract them to him. To those who are not, you will be repulsive. You won’t be liked. They will not be receptive to you. Can you be okay with that? Can you continue to show up has God’s sweet perfume in this world, even when some reject you, even while some ridicule you, even while some are hateful towards you? Or will you decide you’re too fragile for the criticism of a few so you stop showing up for the ones who are ready to respond to Jesus? I’m so grateful Jesus didn’t sit out his mission because of the ones who would ridicule him. I’m so grateful he didn’t cancel his coming because some would be ugly. He came anyway. He taught anyway. He loved anyway. And he gave his life anyway. Now he asks us to do the same. Stop being detoured by those who don’t like this Jesus in you. Stop playing little and hiding your fragrance and your glow because they don’t receive it well. It’s not about you – this is about Jesus! And there are people around you who desperately need it! Make Jesus attractive. Not with your perfection. Not with your performance. Not by pretending you’ve got it all together. Just live so close to Jesus that He can’t help but rub off on you. And then walk into the room. Carry His fragrance. Shift the atmosphere. And let everybody around you get involved in the glory and praise of God. Because the most beautiful thing about you should never be you. It should be Jesus. Follow Pamela on Instagram – https://instagram.com/headmamapamela Or Facebook – https://www.facebook.com/pamela.crim Find out more about BIG Life – http://biglifehq.com

Gloom and Bloom turns 5! To celebrate Christine and Tayler quiz their true crime knowledge and answer some deeply random icebreaker questions. Sit back, open your earholes and celebrate five years of this podcast. Spank you for listening. Do less God bless. Gloom & Bloom out!

September 23, 2026 ~ Chris Renwick, Jamie Edmonds, and Steve Courtney talk with Michigan State head coach Pat Fitzgerald about the upcoming game against Nebraska. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Apparently cigarettes and THC are cool again, because everything is cyclical, including addictions. Great news for fans of 1960s vices. Also great news for people who want to do a lot of coke in about ten years.Topics:Cindy Crawford's son Presley Gerber dies in rehabCigarettes and the smoking thereofScented candles and detergents

It's the our favorite season: awards. And this marks the 6th annual Smell ya Later awards, brought to you by none other than your hosts and their impeccable taste and expertise to bestow our beloved scents with their flowers in such esteemed categories as: The Honda Award For Best Accord or Note The Tynan Sinks Award for Biggest Fruit The Lactose Intolerant-Presenting Award for Best Milk Fragrance  The 'We Told You So' Award for Best Milk-Substitute Fragrance  The 'Not All Men' Award for Best Men's Scent  The 'Surprise Bitch, Bet You'd Thought You'd Seen The Last of Me' Award for Best Flanker The "This One's Got A Little Sweetness To It” Award For Being Not Too Sweet Best Pick-me Gourmand (gourmand for people who don't like gourmands) The Biggest Slay The Most Unexpected Gag The Kris Jenner Facelift Award For Best Legacy Fragrance Revamp The Sable Yong + Tynan Sinks Award for Best Collab The “Ladies And Gentlemen, H.E.R.” Award For Best Girl Smell The 'Not All Men' Award for Best Men's Scent  Most 'Oh, this old thing?' Beautiful Nothing Scent The 'Go Girl, Give Us Nothing' Award for Best Body Mist [What we smell like today: Serviette Immacula, Essential Parfums Ambre Latte]

In this episode I answer an unusual but very real intellectual-property question: Can you patent a smell? I explain why a scent itself generally cannot be patented, but the chemical composition that creates it, the process used to manufacture it, or a device that releases it may be patentable. I also discuss when keeping a fragrance formula as a trade secret may make more sense than disclosing it in a patent, and how, in rare cases, a distinctive scent can even function as a trademark. The episode explores how patents, trade secrets, and trademarks can work together to protect different aspects of a scent-based product, and why inventors should think carefully before disclosing their formulas or inventions to the public.

Grab your tinfoil hats and your swim trunks, because this week on 2 Men with a Mic, Mike and Mitch are diving into the deep end—literally. Fearing an impending economic collapse and global warfare, Mike did what any rational, level-headed dad would do: he bought his son a massive swimming pool. Now he's sweating over the utility bill and panicking that he might have to drain it if the weather turns chilly. Priorities, right? Once we log the hours on pool maintenance, the guys tear down the latest geopolitical panic. From Trump, Iran, and the government secretly eyeing your bank account, to why you should probably start trading your dollar bills for gold bars. Plus, Mitch is adjusting to a brand-new job, navigating the steep learning curve of their corporate processes, and trying not to have too many "brain farts" . Naturally, the conversation spirals beautifully out of control from there. We unpack a weirdly tense Facebook misunderstanding about Christianity, debate the bleakness of the movie The Road, and expose the deep state's alleged plan to clear out 90% of the population by 2030 while billionaires hide on superyachts. To wrap it all up, we've got a killer episode of the twilight zone where a woman bumps off her wealthy uncle for the inheritance, only to realize he replaced himself with a tormenting robot clone. You can't make this stuff up

Max Hartley '29 has been at Cornell for one month—and somehow he's already everywhere.The 20-year-old sophomore transfer is studying in ILR, singing with Last Call A Cappella, running, building businesses and creating Sillage—what he calls “Letterboxd for fragrance fans.”We talk about leaving a college he loved for Cornell, finding his people as a transfer, getting the knock on his dorm-room door that changed his Cornell experience, and why he can sometimes identify a stranger's cologne just by walking past them.Plus, can you guess what our game is about? We called it "Do Tell, the Smell." Max is absolutely amazing and we loved him. Shout out to his mama, Gabby, our sorority sister whom we ADORE, for the introduction.Not sponsored by or affiliated with Cornell UniversityAnd if you are reading this from Cornell Admissions or Administration, you're welcome. What an endorsement.

It's all in your routine.Your skin is your biggest organ... what's in it and what's on it matters.Eat good and smell good.On this podcast, I keep it 1000… people need what will help them be better.I speak the real on here.It ain't about picking sides.You either right… or you ready to correct ya behavior here.Need Sea Moss?@chanbepoddin@shegetsitpodChan & Pods Youtube Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Journey Church International is a difference making church in Lees Summit, MO with an exciting kids program, bible-based teaching and an inviting atmosphere.

This week, Felder answers questions about the everything that can happen in your garden, from armadillos tearing it up to potatoes growing in a pot. Let's get dirty!Email Felder anytime at FelderRushing.Blog and listen Friday and Saturday mornings at 9 to The Gestalt Gardener on MPB Think Radio. In the meantime, in Felder's words, "get out and get dirty."If you enjoyed listening to this podcast, please consider contributing to MPB: https://donate.mpbfoundation.org/mspb/podcast Hosted on Acast. See acast.com/privacy for more information.

It's Friday, Sept 18th, 2026 and here is your weird news update featuring some of the odd, and fun things from the news. This is What a Weird Week.Show notes page is shownotes.page. Stream and Subscribe HERE.  10 Bouncing and Solving: it's a way of life. https://www.upi.com/Odd_News/2026/09/11/canada-Guinness-World-Records-rubiks-cube-pogo-stick/5691789143596/ and the video link https://www.youtube.com/watch?v=poAcEireE5U9 Slow Jogs and Brain Scans. https://studyfinds.com/a-very-slow-jog-may-be-all-it-takes-to-lift-mood-and-sharpen-focus/ 8 Yellowstone Lost and Found. https://www.popsci.com/environment/yellowstone-national-park-lost-hats-summer-2026/ 7 Ladies, is this survey about bras your truth? https://talkerresearch.com/nearly-3-in-5-women-ditch-bras-as-soon-as-they-get-home/ 6 Lady demolishes Giant Burrito. https://www.foxnews.com/outkick-sports/professional-eater-inhales-burrito-reclaim-title-worlds-fastestHonorable Mention: Scientists disagreeing on basic stuff? https://www.popsci.com/science/physicist-big-bang-survey/ 5 I love the smell of chocolate in the morning (on leg day). https://www.sciencedaily.com/releases/2026/09/260914102445.htm 4 Solving World Hunger and Plastic Waste through new cookie technology! https://www.sciencedaily.com/releases/2026/09/260912220033.htm3 Girl Scout Cookies for Dogs. https://www.huffpost.com/entry/how-sweet-girl-scouts-cookies-are-going-to-the-dogs_n_6aa1a0fae4b030763605fed8 2 Peanut Butter Floor Followup. https://www.yahoo.com/entertainment/articles/dutch-peanut-butter-artwork-proves-092951043.htmlBonus: Mini Horses as therapy?! Yes. It's science. https://studyfinds.com/teens-felt-calmer-three-minutes-mini-horse-donkey/ Bonus: Silent Mode for Phones doesn't do what you think it does. https://studyfinds.com/what-keeping-phone-on-silent-says-about-you-2180/ 1 Firefighters rescue man, mow his lawn. https://people.com/firefighters-finish-mowing-mans-lawn-after-he-s-rushed-to-the-emergency-room-12113394

Dr. Michael Leon on Smell Training, Memory, Sleep, Alzheimer's Risk, and Brain Longevity Your sense of smell may reveal more about your brain health than you realize, and stimulating it while you sleep may improve memory, sleep quality, and cognitive function. **Visit https://memoryair.com/ and use code DAVE15 for 15% off. **Host Dave Asprey sits down with Dr. Michael Leon, Professor Emeritus of Neurobiology and Behavior at UC Irvine and one of the world's most cited scientists, to explore why smell may be one of the most overlooked tools for brain health and longevity. Dr. Leon explains why the olfactory system has unusually direct access to the brain's memory and emotional centers, why smell often declines alongside memory after age 60, and why reduced olfactory function has been associated with Alzheimer's disease, cognitive decline, depression, and increased all-cause mortality. They also discuss how COVID, chronic congestion, pollution, stress, and aging can impair smell without people realizing it. The conversation dives into olfactory enrichment, including research showing major improvements in memory when older adults were exposed to multiple scents during sleep. Dr. Leon explains why novelty matters, how nighttime scent exposure may increase deep sleep and reduce nightmares, and why olfactory stimulation is being studied in dementia, PTSD, depression, and autism. Dave also explores connections between smell, GLP-1 drugs, exercise, rapamycin, spermidine, oxytocin, hormones, mitochondrial function, and other longevity interventions. This is essential listening for anyone interested in memory, sleep, Alzheimer's prevention, brain aging, smell training, dementia, PTSD, autism, longevity, neuroplasticity, biohacking, and protecting cognitive function as you age. You'll Learn: -Why your sense of smell often declines alongside memory -How smell connects directly to the brain's memory and emotional centers -Why poor olfactory function is associated with Alzheimer's risk and mortality -How chronic congestion may affect memory and brain health -What COVID-related smell loss may mean for long-term cognitive health -How olfactory enrichment can stimulate memory centers while you sleep -Why one study reported a 226% improvement in memory in healthy older adults -How scent exposure may increase deep sleep and reduce nightmares -Why novelty and rotating scents appear to matter for neuroplasticity -How smell training is being studied in dementia, depression, PTSD, and autism -Why several longevity interventions are also associated with improved olfaction -How GLP-1 drugs may affect smell, food enjoyment, memory, and emotion -Why professional wine tasters may offer clues about protecting the aging brain Thank you to our sponsors! - KILLSwitch | If you're ready for the best sleep of your life, order now at https://www.switchsupplements.com/ and use code DAVE for 20% off - PredictiveMind™ | Get your Brain Pattern Mapping report at predictivemind.io/dave and use code DAVE for 10% off. - Fatty15 is on a mission to support Healthy Aging for All, including all ages and stages of life. You can get an additional 15% off their 90-day subscription Starter Kit by going to fatty15.comDAVE and using code DAVE at checkout. - LMNT | Right now, grab any LMNT drink mix and they'll throw in a free sample pack. Go to drinklmnt.com/dave to get yours. Dave Asprey is a four-time New York Times bestselling author, founder of Bulletproof Coffee, and the father of biohacking. With over 1,000 interviews and 1 million monthly listeners, The Human Upgrade brings you the knowledge to take control of your biology, extend your longevity, and optimize every system in your body and mind. Each episode delivers cutting-edge insights inhealth, performance, neuroscience, supplements, nutrition, biohacking, emotional intelligence, and conscious living. New episodes are released every Tuesday, Thursday, Friday, and Sunday (BONUS). Dave asks the questions no one else will and gives you real tools to become stronger, smarter, and more resilient. Keywords: Michael Leon, smell training, olfactory enrichment, sense of smell, memory improvement, brain aging, Alzheimer's disease, dementia, deep sleep, nightmares, PTSD, autism, depression, COVID smell loss, olfactory system, neuroplasticity, MemoryAir, essential oils, cognitive decline, all-cause mortality, GLP-1, rapamycin, spermidine, oxytocin, longevity, brain health, sleep optimization, memory loss, olfactory stimulation Resources: • Visit https://memoryair.com/ and use code DAVE15 for 15% off. • Get My 2026 Clean Nicotine Roadmap | Enroll for free at https://daveasprey.com/2026-clean-nicotine-roadmap/ • Dave Asprey's Latest News | Go to https://daveasprey.com/ to join Inside Track today. • Danger Coffee: https://dangercoffee.com/discount/davetube • My Daily Supplements: SuppGrade Labs (15% Off) • Favorite Blue Light Blocking Glasses: TrueDark (15% Off) Timestamps: 00:00 — Smell and Your Brain 01:25 — Intro 06:52 — Why Smell Goes Unnoticed 10:59 — Making MemoryAir 15:46 — Smell and Dementia 20:00 — Smell Predicts Lifespan 25:32 — Testing Your Sense of Smell 28:33 — Autism and Olfactory Therapy 36:23 — Biohacking Your Nose 42:50 — GLP-1 and Olfaction 45:55 — PTSD, Nightmares, and Sleep See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week we talk about 9/11 stories, Lindsey Clancy, Wolverine, using AI, geriatric politicians, politics, Blue does improv, and more! Come follow us: http://www.beenhadproductions.squarespace.com/bthanbti SoundCloud: https://soundcloud.com/bthanbtiI Facebook: https://www.facebook.com/BthanBTI/ Twitch: https://www.twitch.tv/bthanbti Twitter: @BthanBTI iTunes: https://itun.es/i6SJ6Pw YouTube: https://www.youtube.com/c/BlackerThanBlackTimesInfinity Rescue + Residence https://www.rescueresidence.org/ Donate: https://www.givebutter.com/R_R_Champions

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Matt and Brian invade Kowloons after a true Shindy experience. Brian meets Frankie Kazarain! Joe Shoes opens da show after winning the FWF tag team titles! Episode, more stories and moree Weekly Purchases! (208) The incarnation of Dean Malenko,  (Episode 207)Social Media: X: @JGeorgeTheMovie, @MajorWFPod , @TheMattCardona , @Myers_Wrestling, @majorpodnetwork @Silverintuition Instagram: @MajorWFPod , @TheMattCardona , @Myers_Wrestling, @SmartMarkSterling , @majorpodnetwork @jgeorge.mp4  

(Part 3)Jack's back with shiny new arteries and he's feeling better than ever. The same can't be said for Mr. Farley, or for Cumulus Media. Maybe if they had both listened to more Jesus Tapes, they'd have done better.

This Is Spinal Tap Review takes Born to Watch somewhere few podcasts dare to go: backstage with Britain's loudest band, where amplifiers go to eleven, drummers have an alarming mortality rate, Stonehenge has serious measurement issues, and a beautiful piano composition can somehow be called “Lick My Love Pump”.Whitey, Damo and Dan are back to revisit Rob Reiner's 1984 mockumentary masterpiece, This Is Spinal Tap, a movie that barely made a ripple when it first arrived but went on to become one of the most influential comedies ever made. More than four decades later, the question is simple: is Spinal Tap still funny, or has the volume finally been turned down?For Whitey, the film has grown with every viewing. Watching it as a teenager meant missing half the jokes, but coming back to it years later reveals just how clever the movie really is. Damo is firmly aboard the Tap train, while Dan comes into this one having seen plenty of famous scenes over the years without previously sitting through the whole film from start to finish.That gives us the perfect mix for a Born to Watch review.The boys dive into what made This Is Spinal Tap so revolutionary. Rob Reiner, Christopher Guest, Michael McKean and Harry Shearer created something that looks and sounds so much like a genuine rock documentary that audiences could be forgiven for wondering whether Spinal Tap was actually real.And that is where the genius lives.There are no desperate punchlines or actors screaming at the audience to tell them where the joke is. The characters play everything completely straight. The stupidity is delivered with total sincerity, whether Nigel Tufnel is protecting a guitar that cannot even be looked at, Derek Smalls is calmly navigating another band catastrophe, or David St. Hubbins is watching his musical empire slowly fall apart.Then there are the moments that have become comedy folklore.Stonehenge.The amps that go to eleven.“Lick My Love Pump”.Smell the Glove.The constantly changing drummers.Getting hopelessly lost backstage.And some very questionable objects stuffed inside some extremely tight trousers.The boys pick apart their favourite scenes, with Dan loving the absurd brilliance of "Lick My Love Pump", Damo championing Nigel's priceless guitar collection scene, and Whitey finding himself laughing harder at the film than he ever has before.But this episode goes well beyond simply quoting the classics.The crew ask whether This Is Spinal Tap became the blueprint for the mockumentary format that followed. Would shows such as The Office and countless other mockumentary films and television series have existed in quite the same way without Reiner and the Tap boys showing everyone how it could be done?There is also plenty of love for the supporting cast and cameos. Billy Crystal, Dana Carvey, Fran Drescher, Fred Willard, Bruno Kirby, Paul Shaffer and Anjelica Huston all enter the conversation as the boys realise just how much talent is scattered throughout the film.Naturally, the episode also explores Spinal Tap's extraordinary musical history. The band's fictional back catalogue might contain some of the greatest album titles never released by a real band, from Intravenous DeMilo and Shark Sandwich to Smell the Glove, Silent but Deadly and the magnificent Bent for the Rent.Then it is time for all the regular Born to Watch madness.The Good, the Bad and the Ugly digs into what still works, what might require multiple watches to truly appreciate, and whether there is actually much "ugly" to complain about. The boys agree this movie is packed with jokes that are incredibly easy to miss the first time around, making repeat viewings almost essential.There is also Question Time, Quick Fire, Film School for F-Wits, plenty of musical detours and, naturally, another Kick Arse Credit Song from Dan.More than 40 years after its release, This Is Spinal Tap remains one of those rare comedies whose influence has become almost bigger than the movie itself. Its jokes have entered everyday language, its characters feel strangely believable, and its commitment to playing absolute stupidity completely straight remains almost impossible to replicate.So grab your guitar, prepare the miniature Stonehenge, sniff the feedbag and make sure your amplifier has that all-important extra number.Because Born to Watch is turning this episode up to eleven.Join the Born to Watch crew If you love movies but don't believe they need to be treated like sacred works of art, you've found your people. Follow the podcast, share the episode with a mate, jump onto the socials and tell us which movie deserves the Born to Watch treatment next.#ThisIsSpinalTap #ThisIsSpinalTapReview #BornToWatch #MovieReviewPodcast #SpinalTap #RobReiner #ChristopherGuest #80sMovies #ComedyMovies #Mockumentary

Stugotz and Mikey A smell of football after a weekend spent on the couch. The Jets beat the Titans. The Bills and Josh Allen beat the Houston Texans. The Giants beat the Cowboys. The Dolphins are still bad.See omnystudio.com/listener for privacy information.

Looking for more dating hell stories? https://www.youtube.com/playli... In this episode of r/DatingHell we have the displeasure of another series of dating fails. Dating is always difficult, but our OPs decide to give these specimens the benefit of the doubt... And it almost goes terribly wrong every single time. This is the reality of bad first dates in dating hell. I'm glad I don't hafta worry about this stuff anymore. It doesn't matter what your background is, you always need to treat people like people and not use them simply to get off. Neckbeards seem to learn this lesson particularly slow and it really does make my blood boil... So we must bring it to light so others don't suffer alone. For your fill of neckbeard stories we've got you covered with the freshest weeaboo, niceguy, and neckbeard happenings on reddit. Stick with ReddX for your daily dose of cringe with a side-dish of relatability. You might even feel good for dessert... But who can say? ------------------------------------------------------------ #reddit #datingadvice #firstdate Discord: https://discord.gg/Sju7YckUWu Twitch: https://www.twitch.tv/daytondo... PayPal: https://www.paypal.me/daytondo... Patreon: http://patreon.com/daytondoes Twitter: http://www.twitter.com/daytond... Facebook: https://www.facebook.com/ReddX... Subreddit: https://www.reddit.com/r/ReddX... Amazon link to my mic: https://amzn.to/3lInsRR ReddX merch: https://teespring.com/stores/r... Character art: https://twitter.com/DarkleyStu... Creepypasta channel: https://www.youtube.com/Dayton... Gaming channel: https://www.youtube.com/dayton... Wifey's channel: https://www.youtube.com/channe... ------------------------------------------------------------ Playlists: Full neckbeard stories: https://www.youtube.com/playli... All neckbeard stories: https://www.youtube.com/playli... All legbeard stories: https://www.youtube.com/playli... RPG Horror Stories: https://www.youtube.com/playli... Weeaboo tales: https://www.youtube.com/playli... ------------------------------------------------------------ Podcasts: Spotify: https://open.spotify.com/show/... Soundcloud: https://soundcloud.com/reddxy iTunes: https://podcasts.apple.com/us/... Google Podcast: https://podcasts.google.com/fe... Spreaker: https://www.spreaker.com/show/... Podchaser: https://www.podchaser.com/podc... Deezer: https://www.deezer.com/us/show... Podcast Addict: https://podcastaddict.com/podc... JioSaavn: https://www.jiosaavn.com/shows... Also on Castbox, Audible, and iHeartRadio! Have you ever met a neckbeard or a nice guy? They are frustrating to deal with, but luckily you aren't alone! These r/neckbeardstories from Reddit are among the top posts of all time and include some of the funniest Reddit stories ever posted on the neckbeard stories subreddit! rSlash NeckbeardStories have all kinds of funny neckbeards in them, but especially the nice guy. And the weeaboo. There is a wide spectrum of neckbeards, and this is but a small slice of it. Listening to ReddX's neckbeard stories playlist is a great experience! These neckbeard stories Top Posts of All Time from Reddit are made for you to enjoy any time you feel like it, so be sure to save my rSlash neckbeard stories playlist to your favorites! While there are many rslash channels that read r/neckbeard stories and r/prorevenge from reddit, each channel has their own way of performing them. Some of the top rSlash entitled parents channels I recommend checking out are the original rSlash, Redditor, fresh, r/Bumfries, VoiceyHere, Mr Reddit, Storytime and Darkfluff. These Reddit story channels inspired me to start my own Reddit story channel, with a focus on Entitled Parents stories and at times going into the r/pettyrevenge and r/choosingbeggars subreddit as well. Because most of my audience prefers Entitled Parents stories of Reddit, I tend to just stick with reading the r/EntitleParents Top Posts of All Time. But I also enjoy getting up close and personal with neckbeards and weeaboos from time to time. Subscribe to ReddX for the freshest daily Reddit content. I post relatable readings of Reddit posts and Reddit stories every single day! Journey with me as I relate these amazing Reddit stories to my personal life journey. I'm greatly inspired by the top reddit posts of all time videos and reddit stories on YouTube which is why I started doing them myself. YouTube: https://www.youtube.com/channe... Discord: https://discord.gg/Sju7YckUWu Twitch: https://www.twitch.tv/daytondo... PayPal: https://www.paypal.me/daytondo... Patreon: http://patreon.com/daytondoes Twitter: http://www.twitter.com/daytond... Facebook: https://www.facebook.com/ReddX... Merch: https://reddx-shop.fourthwall....

Jonathan Green is Jordana's little brother. He joins the show today to talk about his experience 25 years ago working for the SEC in 7 World Trade Center. He shares how he saw a “smoking hole” in the first tower on TV as he waited in line for coffee downstairs and the succession of events that eventually led him into the street. Adam asks about his headspace and processing during the event. Jordana asks about finally connecting with family and how hard it was to get information and how impossible it was to reach anyone by phone.

The post You smell like Jesus…and you can’t help it. appeared first on Key Life.

This is a catch-up version of James O'Brien's Mystery Hour. To join the game, call 0345 60 60 973, Thursdays at 12pm.

 "We want to build a platform and a fundamental capability that makes the world smell better… and we know from the fundamental understanding of how scent works that getting better at scent that delights you actually helps us get better at applications in scent that can protect and can heal." —Alex Wiltschko Digitizing smell sounds like science fiction until you meet someone who's spent two decades chasing it. In this episode, Justine Reichman sits down with Alex Wiltschko, founder and CEO of Osmo, a company on a mission to give machines a sense of smell — and, eventually, to help detect disease before symptoms show up. Alex's path started long before Osmo. A PhD in olfactory neuroscience, five years leading Google's digital olfaction team, and a personal loss — his father's death from brain cancer — all converged into a single question: what if scent could tell us things about our health that we can't yet hear? This conversation covers how Osmo's AI model, OI One, is learning to create and detect scent, why the company deliberately started in fragrance instead of diagnostics, and what digital olfaction could mean for the next decade of human health. This episode is for anyone curious about AI's next frontier, the science of scent, or what it looks like to turn personal grief into a decades-long body of work. Key takeaways: Scent is built from a surprisingly small alphabet — roughly 20,000 to 30,000 molecules make up every smell on Earth. Osmo intentionally avoided starting with disease detection because the science wasn't ready; fragrance became the training ground that builds toward harder problems. Osmo's AI tool, Osmo Studio, now generates starting scent compositions that professional perfumers treat like a collaborative apprentice. Synthetic fragrance ingredients can actually be more environmentally efficient than natural ones, challenging a common assumption about "natural" being automatically better. Alex believes the next generation of professionals won't go "deep then senior" — they'll orchestrate AI agents wide first, creating entirely new kinds of jobs. The same molecules behind a loved one's hug can show up in food and fragrance, revealing scent as a shared chemical language across all of biology. Listen to the full episode to hear Alex's take on where scent technology is headed next.  https://tinyurl.com/Essential-Ingredients-Podcast  Meet Alex:  Osmo AI CEO, Alex Wiltschko, is a pioneer in the field of olfactory science. He founded Osmo in 2022, after years of research at Google Brain, where he developed an AI model capable of predicting how molecules smell based on their structure. Wiltschko's work has led to significant advancements in computational olfaction, including the creation of an AI-powered fragrance house and the digitization of real-world scents. His mission is to democratize fragrance creation, allowing independent brands to access advanced scent technology and develop custom fragrances that resonate with their unique stories and identities.  Website LinkedIn Instagram X Connect with NextGen Purpose: Website Facebook Instagram LinkedIn YouTube Podcast Chapters: 01:18 Meet Alex Wiltschko: From Grief to Digitizing Smell 04:26 Why Scent Is the Oldest Language on Earth 08:29 Leaving Google to Found Osmo 13:20 How AI Is Reshaping Alex's Own Craft 17:14 Will AI Replace Jobs? Alex's Honest Take 28:23 Building an Interdisciplinary Team for Osmo 34:48 Where Osmo's Scents Already Exist in Your Life 42:19 Decoding the Alphabet of Scent 45:13 The Future: Smell as a Health Signal  THE PRIMES  ✨ You're more capable than you have ever been, and somehow more invisible than ever. You keep handing out advice you do not take yourself. You keep saying 'after this next thing' to your own life, and the people around you have no idea because, from the outside, everything looks fine— that is exactly what The Primes was built for.

Women's US Open match had to be stopped because of the strong smell of weed. Man shot his cousin during heated argument over whose enchiladas were spicier. Police are trying to find the thieves who stole 70,000 pints of delicious Guinness stout. Weird AF News is the only daily weird news podcast in the world. Weird news 5 days/week and on Friday it's only Floridaman. SUPPORT by joining the Weird AF News Patreon http://patreon.com/weirdafnews - OR buy Jonesy a coffee at http://buymeacoffee.com/funnyjones Buy MERCH: https://weirdafnews.merchmake.com/ - Check out the official website https://WeirdAFnews.com and FOLLOW host Jonesy at http://instagram.com/funnyjones - wants Jonesy to come perform standup comedy in your city? Fill out the form: https://docs.google.com/forms/d/e/1FAIpQLSfvYbm8Wgz3Oc2KSDg0-C6EtSlx369bvi7xdUpx_7UNGA_fIw/viewform Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join me as we uncover sensory organs and feet in unlikely places. — Support and sponsor this show! Venmo Tip Jar: @wellthatsinteresting Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@wellthatsinterestingpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Bluesky: @wtipod Threads: @wellthatsinterestingpod Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@wti_pod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Listen on YouTube!! Oh, BTW. You're interesting. Email YOUR facts, stories, experiences... Nothing is too big or too small. I'll read it on the show: wellthatsinterestingpod@gmail.com WTI is a part of the Airwave Media podcast network! Visit AirwaveMedia.com to listen and subscribe to other incredible shows. Want to advertise your glorious product on WTI? Email me: wellthatsinterestingpod@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Volume 103 of Brad & Mira For the Culture...Mira issues a correction after spreading misinformation about Johnny Carson and Porter Wagoner...Mira gets a new tattoo...the Otherppl podcast is about to turn 15....Brad lands a huge interview...Angry Adam is AWOL...the Tom Cruise nostalgia tour continues...Days of Thunder 2 is in the works...Anne Hathaway to co-star...Randy Quaid weighs in...Hunter Biden appears on yet another podcast...reports that Joe visited him in his crack den in the presidential motorcade...met a homeless crack addict named Bicycles...the serial Butt Sniffer of California strikes again...Mira begrudgingly absolves Bill Maher and Mel Gibson...Dolly Parton's 100th birthday song...& more... *** ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Otherppl with Brad Listi⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ is a weekly podcast featuring in-depth interviews with today's leading writers. Available where podcasts are available: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, etc. Get ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠How to Write a Novel,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ the debut audio course from DeepDive. 50+ hours of never-before-heard insight, inspiration, and instruction from dozens of today's most celebrated contemporary authors. Subscribe to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brad's email newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support the show on Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Merch⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Email the show: letters [at] otherppl [dot] com The podcast is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠proud affiliate partner of Bookshop⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, working to support local, independent bookstores. Learn more about your ad choices. Visit megaphone.fm/adchoices

In the waning days of summer, we at The Curious Clinicians were in the mood take things back to the rains of spring. This episode is a reboot from our archives of one originally posted on March 27, 2025. Hannah dove into a question inspired by nature: Why do humans have such a keen smell for petrichor, aka the scent of rain?

Reeling from her short rendezvous in the witness protection faerie realm, Sookie continues to be shocked by HOW MUCH has changed. Eric wants her to be HIS, Bill is the freaking king, and everyone is telling her that she's in CRAZY danger if she doesn't accept Eric's offer for protection OR hide out somewhere. Taratoni returns to Bon Temps and is quickly reminded of WHY she left this crazy-ass place. Arlene struggles with her evil baby, and Jason finds himself in a compromised position in Hotshot. OH! and Marnie wants to raise a human being from the dead... no big! Rewatch, Listen & Laugh as Mikie wonders about Katie's benefits package, Ash considers adopting a 'Pam' Vibe, and Alaina gives Sookie a new nickname! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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The key guy, stay hydrated, and foreskin. The serial 'butt sniffer' has been arrested, again. JLR new car synopsis. Hockey player sues after he claims he cannot have sex with his wife after being hit in the head with a puck. Duji likes the smell of her stinky feet. How much money would it take to no longer has sex with your spouse? Seqouia Capital's partner, Doug Leone, claims he had a root canal without Novocaine so he could attend a meeting. Coaches in Pennsylvania get into a physical altercation during a little league football game. Police activity in Charlie's neighborhood. Rover is the devil. JLR tries to make a video call. Someone has been parking in Rover's spot. See omnystudio.com/listener for privacy information.

Duji likes the smell of her stinky feet. How much money would it take to no longer has sex with your spouse? Seqouia Capital's partner, Doug Leone, claims he had a root canal without Novocaine so he could attend a meeting.See omnystudio.com/listener for privacy information.

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08/31 Hour 2: John Keim Joins The Junkies - 1:00 Why Have Men Stopped Doing This Before Dates - 22:00 Junkies Blitz: Scariest Duo In NFL History - 35:00