Podcasts about Nerf

Fusion has been “ten years away” for decades — but one corner of the field just crossed a line that changes the conversation. In December 2022, Lawrence Livermore National Lab's National Ignition Facility achieved ignition: a self-sustaining fusion reaction that produced net energy. And they've repeated it.So what happens when you take the only fusion approach that's proven to work, and focus less on new physics… and more on building the industrial supply chain to do it again and again, cheaply and reliably? You get a field trip!In part one of a two-part field trip to Livermore, California, Molly visits Inertia Energy's “House of Fusion” to meet two of the company's co-founders:Jeff Lawson (yes, that Jeff Lawson — founder of Twilio and majority owner of The Onion) on the business case for commercializing ignition, and why Inertia thinks the economics are finally ready.Mike Dunn, former Lawrence Livermore power-plant designer and Stanford professor, on what it takes to turn a lab breakthrough into a power plant — from a gigawatt-scale “engine” that can follow renewables on the grid, to building a million precision fuel targets a day.We talk about:What “ignition” actually means — and why it's different from “fusion someday”Why Inertia is starting with the only physics regime that's been proven to produce net fusion energyThe two big bottlenecks: high-power diode lasers and mass-manufactured fusion targetsHow scaling semiconductor manufacturing could drive laser costs down (and why “1,000x” matters)What a fusion target is: a tiny fuel capsule inside a miniature “oven” (and why lead beats gold for economics)Why a fusion plant looks more like a high-RPM engine than a one-off experiment — and how that changes everythingPotential early markets beyond electricity: high-temperature process heat for steel, cement, and fertilizerWhat it looks like to build a fusion company in Silicon Valley: Apple/Waymo-style process engineers, high-end metrology, and a Nerf gun used as a stand-in for high-speed target trackingThunderdome. Yes, really.Links:Inertia Fusion: https://inertia.com/Everybody in the Pool: https://www.everybodyinthepool.com/Subscribe to the Everybody in the Pool newsletter: https://www.mollywood.co/Become a member for the ad-free version of the show: https://everybodyinthepool.supercast.com/Join our Discord! https://discord.gg/2EsDhwQC2z Hosted on Acast. See acast.com/privacy for more information.

Dr. Deb Muth 00:00:09 Hi there, how are you? Bob Miller 00:00:10 Excellent! Pedaling as fast as humanly possible, but doing okay. Dr. Deb Muth 00:00:14 Good, good. Well, I’m looking forward to our conversation today. This should be amazing. Bob Miller 00:00:20 Yeah, it should be a lot of fun. Dr. Deb Muth 00:00:22 Yeah, anything that’s off-limits for you in, our conversation? Bob Miller 00:00:28 No. Dr. Deb Muth 00:00:29 Okay, anything you want me to make sure we cover for you? Bob Miller 00:00:33 Well, I mean, is it okay if we put a little plug-in for our software? Dr. Deb Muth 00:00:35 Absolutely. Bob Miller 00:00:36 Yeah. Dr. Deb Muth 00:00:37 Absolutely. Bob Miller 00:00:36 Yeah. Dr. Deb Muth 00:00:37 Absolutely. Bob Miller 00:00:38 Hey, can we… can we do a screen share? Yes, we can. Yeah, because I want to show you some maps, and… Dr. Deb Muth 00:00:43 Okay. Things like that, yeah, so… Perfect. So just let me know when you want to do screen share. Bob Miller 00:00:48 Okay. Dr. Deb Muth 00:00:49 And yeah, feel free to plug your software wherever you want to. Bob Miller 00:00:53 Okay, well, good. Let me pull up a, a slide for that, and give me one second, I just want to shut the door to my office to get the noise down. Dr. Deb Muth 00:01:01 No worries. Bob Miller 00:01:16 And, how should I refer to you? Dr. Debb? Dr. Muth, what do you like? Dr. Deb Muth 00:01:18 Dr. Deb is great, or Deb, either way, I’m pretty informal, so… Bob Miller 00:01:22 Yeah, and… Bob is fine for me. Okay. Yeah. Yeah, there you go. Why people feel like they need this, son. Special name, it’s like, seriously. Dr. Deb Muth 00:01:33 Right? I agree. Bob Miller 00:01:35 When I work with my clients, it’s like, Dr. Millison, just, just bop, just, just bop. Dr. Deb Muth 00:01:41 Yep, that’s how I am, too. Just call me Deb, it’s good. Dr. Deb Muth 00:01:44 They feel a little awkward with that, you know? They’re not used to that, but… Bob Miller 00:01:48 Alright. And you’re a naturopath, medical doctor. Dr. Deb Muth 00:01:52 A nastropathic doctor and a nurse practitioner. Oh, nice. Yeah, so I got the best of both worlds, right? Bob Miller 00:01:58 Yeah, damn. Okay. Alright, so here we go… There we go. Alright, so I got that ready, and then I will do a, I will do a screen share. I think you’re gonna really, appreciate what we’ve come up with. We’ve come up with the concept of, Cellular CPR. Dr. Deb Muth 00:02:23 Oh, nice! Bob Miller 00:02:24 And that is, construct the cell membrane, Protect the cell membrane. And restore it if it’s damaged. Dr. Deb Muth 00:02:32 Love that. Bob Miller 00:02:34 I love that. Yeah, so that’s what we’re focusing on, and then how, You know, we want to get to the point that, you know, most people think of genetics, they think of, like, 23andMe or Ancestry. Dr. Deb Muth 00:02:44 Yeah. Bob Miller 00:02:45 And then you have the professional geneticists who are looking at, you know, odd things that could create a disease. We’re looking at functional genomics. Dr. Deb Muth 00:02:54 Which is so much better. Bob Miller 00:02:56 Yeah. Are you familiar with what we do here, or… Dr. Deb Muth 00:02:58 A little bit, a little bit. So, it’ll be new to me, too, so I’m excited. Bob Miller 00:03:03 And how much time do we have? Dr. Deb Muth 00:03:04 We have an hour, give or take a little bit on either side. Do you have a hard stop anywhere? Bob Miller 00:03:10 No, no, I put a, I moved my clients around, and I don’t have anybody till, 3.30, so we’re good. Okay. Dr. Deb Muth 00:03:16 Perfect. Alright. Bob Miller 00:03:18 It’s like we’re getting started early as well, so… Dr. Deb Muth 00:03:19 Yeah, we’re getting started a little bit early, so that’s good. Bob Miller 00:03:22 Yeah, I just got my office cleaned up, so… Dr. Deb Muth 00:03:23 Okay, good. All right, are you all set to get started? Bob Miller 00:03:28 I’m good to go, my friend. Dr. Deb Muth 00:03:29 I’m gonna just record a little intro and a little bit of a, hook for people, and then we’ll get started. I’ll ask you to kind of tell us a little bit about yourself, and then we’ll just take this conversation wherever it’s supposed to go. Bob Miller 00:03:39 Okay, you got it. Dr. Deb Muth 00:03:40 Alright, sounds good. So what if the reason you’re not healing isn’t your diet, your supplements, or your labs, but it’s actually your genes? Dr. Bob Miller is uncovering how genetic variants, when combined with modern toxins, explain why some of us stay sick no matter what we try. Today, we’re talking genetic pathways, detox blocks, and the new science every wellness warrior needs to know. Welcome back to Let’s Talk Wellness Now, the show where we uncover the root causes of chronic illness, exploring cutting-edge regenerative medicine, and empower you to heal from the inside out. I’m Dr. Deb, your medical detective, and today, our guest, Dr. Bob Miller, is a true pioneer in functional genomics. He’s a board-certified traditional naturopath and the founder of Neutrogenetic Research Institute. And he’s the leading groundbreaking research on how genetic variants influence chronic illness, inflammation, and detoxification. His work has been recognized on international stages, uncovering links between genetic expression and conditions like Lyme disease, mast cell activation, or MCAS, and mitochondrial dysfunction. I’m so excited to talk to Dr. Bob today. He is gonna reveal some things that even I don’t know about, so I’m excited to learn alongside of you guys. So… Dr. Bob, let’s get started. Tell us a little bit about yourself, and kind of how you got on this journey. Bob Miller 00:05:04 Well, that’s, that’s interesting. I was sort of like a mid-career coming to the natural health field, because in my early 30s, I found myself with a severe case of ulcerative colitis. Bob Miller 00:05:15 And I was in the hospital for 21 days. probably within hours of death, pleading to death. And they told me I’ve got one option, and that is cut out the colon and wear a bag. Didn’t sound like a lot of fun. Dr. Deb Muth 00:05:27 Not an option I would want. Bob Miller 00:05:29 So, you know, the medical folks wasn’t real happy with me, but I said, yeah, I’d like to explore some alternative things.Never thinking that I’d get into this field, and then I just, you know, worked with some herbalists and things that I found absolutely fascinating. So, that’s how I got into this around 30 years ago. And, haven’t looked back since, and just having a… having a blast as we now move into how our genetics impacts things. So, that’s what we’re gonna… that’s what we’re gonna talk about today. Dr. Deb Muth 00:05:58 I’m excited to talk about this genetic thing. When you started over 30 years ago, what kind of patience and problems first inspired you to dig deeper into that root cause healing and kind of get into the genetic piece of it? Bob Miller 00:06:10 Sure. Well, you know, as a… now, I’m in a part of the country called Lancaster County, Pennsylvania, where there’s a lot of Amish and Mennonite, and they gravitate towards these things.So, this is their first thing to do, and that doesn’t work, then they’ll go other routes. So, you know, back then, we just saw typical, you know, a little tired, constipation. You know, a little bit of fatigue, arthritis, those kind of things. But things have changed dramatically over the years, as people are now getting more chronically sick. You know, it’s worse than it’s ever been. And what we’re finding is the, the culprits Primarily is mold exposure and Lyme disease. When people get those two together, they’re just… it’s an inflammatory cascade that nobody can seem to unravel. So that’s where we spend a lot of our time. And we’re also spending a lot of time looking at mental health, like ADD, ADHD. And, we give… this year I’ll be speaking at three autism conferences. And we can dig into that a little bit as to why we think we’re seeing such a dramatic increase. And aside from autism, that used to be 1 out of 1,000, now it’s 1 out of 33, or 23. You know, we’re also seeing dramatic increases in ADD, ADHD. People are stressed out. And today, I think we’ll have the time to actually go through and show how environmental factors combine with genetics to cause that to happen. So we’ll… we should have a fun visit here today. And today, I think we’ll have the time to actually go through and show how environmental factors combine with genetics to cause that to happen. So we’ll… we should have a fun visit here today. Dr. Deb Muth 00:07:37 This should be a fun visit. We can cover lots of topics. I am so excited. So, you founded Nutri Genetic Research Institute in 2015. What did you hope to accomplish, and what kind of surprised you in your findings so far about that? Bob Miller 00:07:51 Well, you know, let’s back up at what, you know, genetics is used for. Everybody’s familiar with 23andMe and Ancestry that, you know, tells you where your ancestors came from. Then you have your professional geneticists. I mean, these are people with a degree in genetics. And they’ll look for, you know, very odd sort of things that are prone to relate to a disease. So there are disease-related genetics. Well, in functional, we don’t look at either of those. We look at For example, how you’re breaking down your fats and utilizing them. How you’re recycling your glutathione. How you might be handling your iron. And none of those are disease-causing on their own.And none of those are disease-causing on their own. But when they pile up on you, and then combine that with environmental factors, that’s when things start to go south on us. So, that’s what we’re doing, we’re looking at patterns. And our first foray into this was, we did studies on Lyme disease. And our first foray into this was, we did studies on Lyme disease. So, we looked at, like, I think 50 people with Lyme disease. We looked at their genome. So, we looked at, like, I think 50 people with Lyme disease. We looked at their genome. And we found patterns that were more evident in those with Lyme. Now, this doesn’t… these genetics don’t mean you get Lyme, it just means if you get Lyme, you react worse to it. And we found patterns that were more evident in those with Lyme. Now, this doesn’t… these genetics don’t mean you get Lyme, it just means if you get Lyme, you react worse to it. So, as you know, some people get Lyme, they go on a round of antibiotics, and they’re done. So, as you know, some people get Lyme, they go on a round of antibiotics, and they’re done. Others have a little more struggle, and then others are struggling terribly for years. So there’s an old adage of genetics loads the gun, environment pulls the trigger. Dr. Deb Muth 00:09:14 Yeah, that is so true, and I think when we’re talking about Lyme and mold and things like that, we forget sometimes that our genetics can predispose us to be more sensitive to those things, and if we have genetic pathways where we don’t clear things properly, it’s harder for us to get them out of the body. And then you add on that whole rain barrel effect that we’ve always used as a functional medicine term, right? If the barrel’s half full, you’re okay. If it’s full, and now it’s spilling over, it’s a bigger problem. Have you guys found, too, that some of these environmental things actually are changing the genetics of people, or how they’re processing their own genetics? Bob Miller 00:09:53 Well, let’s go back to, Genetics 101. But we’ll go back a little bit further. So, what an interesting mechanism, what a miracle the body is. Bob Miller 00:10:03 Fats, carbohydrates, proteins, drink water, breathe air, expose the sunlight, and somehow everything gets made. I mean, when you just step back and think about that, it’s like, It’s pretty darn amazing. Dr. Deb Muth 00:10:15 I always tell women, you know, the fact that we get pregnant and we have healthy pregnancies and births is a miracle, because if we had to try to control that, that wouldn’t work so well. Bob Miller 00:10:25 Right. Well, that’s another miracle. These microscopic sperm and egg, human being, 9 months later, it’s like. But even inside of us. We are making our hair, our skin, our nails, our blood vessels, our ATP, our energy, it’s all being created. Well, that gets created by enzymes. So, enzymes take one substance, combine it with something else, and make something new. Then another enzyme comes along and does the same thing. Your DNA is the instructions on how to make the enzymes. So, when we are conceived. If it’s a, if it’s a female, of course, it’s the XX, the two chromosomes. You know, we’ve… everybody’s seen those… the genetics that… Listed pair. So, if it’s a female, the father donated the X enzyme. And the mother has no choice but to give the eggs, so that’s female. If the father donates the Y, you have a male that’s in chromosome number 1. Then 2 through 23 is the rest of the instructions on how to make enzymes. So, what can happen? We can get what are called SNPs, single nucleotide polymorphisms. And SNPs just mean that the instructions to make the enzyme’s not quite as good. So, if one parent gives a SNP on the making of an enzyme, The enzyme’s fine. It works. But, general rule of thumb, It may only work at 70-80% of efficiency. Now, a good analogy is think of an 8-cylinder and a 6-cylinder car. If parents give you good information, that’s like having an 8-cylinder car. If one parent gives you that snip, it’s like having a 6-cylinder car. Now, is a 6-cylinder car a fine car? Sure. It’ll get you from point A to point B, but it’s just going to have the power of an 8-cylinder. Then if both parents give you a SNP on the same enzyme, it may be 30-40%, and that’s like having a 4-cylinder car. Sits in the driveway, looks the same, puts gas in it, everything. But if you’ve got a 4-cylinder car. Probably not a good idea to go cross-country pulling a trailer behind you up and down mountains. Dr. Deb Muth 00:12:29 This is true. Bob Miller 00:12:32 So… We can get an 8-cylinder, 6-cylinder, or 4-cylinder enzyme. Now, if it’s not under a lot of stress, if that 4-cylinder car is just taking you to the bank and the grocery store. It’s just as good as an 8-cylinder car. But if you gotta pull that trailer, and there’s a lot of stress on it, being mountains, it’s gonna struggle. Now, there’s one other little caveat to this, and that is some genetic mutations are gain-of-function. They actually work faster. Now, we have enzymes that do all kinds of things. We have enzymes that make and recycle our antioxidants, but we also have enzymes that make inflammation. No, that’s a good thing, because if we get a virus or bacteria, if you didn’t make inflammation to kill it, well, we’d all die of infection. So, you know, we tend to think of free radicals as bad, antioxidants as good. They both play an important role. But interestingly, some of the major enzymes that make inflammation, they can be overactive. They can be turbocharged. And when they’re stimulated by environmental toxins, they overreact. Bob Miller 00:13:40 And therein lies the problem. When they overreact, we have a problem. Bob Miller 00:13:46 So, if we have genes that overreact when stimulated. And then the enzymes that take care of inflammation are underactive. Then you’re gonna be more inflamed. You know, the majority of people that, you know, come for functional medicine Or naturopathic help, or… Inflammation that they can’t seem to get under control. Dr. Deb Muth 00:14:06 Right. Bob Miller 00:14:07 And we will be, you know, during this hour, we’re going to look at some of the pathways that make that happen. So, what we can do then, we can’t change our genetics. When you’re conceived, that’s the hand you’re dealt. When your life would be over, if someone would take some tissue and measure, it’d be exactly the same as conception. Does it change. Bob Miller 00:14:28 The enzyme’s ability to do its job may be compromised. Because remember I said there’s a, the enzyme takes a cofactor. So an enzyme takes substance A, cofactor, make substance B. Well, if that cofactor’s not there, the enzyme’s not going to work either. So, you could have an 8-cylinder car, and if there’s no gas in it, it’s not going anywhere. So… It’s the strength of the enzyme, it’s the cofactor to do the A to B conversion. And that’s what we’re going to get into. So, many people say, well, where did these SNPs come from? Nobody knows for sure. Sometimes they’re what’s just called de novo, when the sperm and egg go together, the instructions get mixed up a little bit. We do believe a lot of it came from a long time ago, when we were almost wiped out by sexually transmitted diseases. And those STDs were altering the genes when the conception, in other words, when the sperm went into the egg, the STDs were interfering. And causing the problem, so… I often joke, if you want to blame somebody. Blame your great-great-great-great-great-great-great-grandparents for, being a bit promiscuous, so… Dr. Deb Muth 00:15:31 Yeah, for being… having a little too much fun, right? Bob Miller 00:15:35 So, we don’t know for sure, but, you know, there are some that, But most of the SNPs that we get inherit from our parents. So, if you look at a child. And you look at the SNPs. 99.9% of the time, it came from one of the parents. Dr. Deb Muth 00:15:50 In identical twins, do they have the exact same identical makeup? Bob Miller 00:15:54 Yep, Dr. Deb Muth 00:15:56 But not in fraternal twins, correct? Bob Miller 00:15:59 No, no, those could be different, Jeff. Dr. Deb Muth 00:16:00 It could be different because they have different sacs, they’re not sharing that same genetic makeup. Bob Miller 00:16:04 Yeah, so keep in mind, both your mother and your father have, you know, the two And so you get one from one parent, one from another. Dr. Deb Muth 00:16:13 So… Bob Miller 00:16:14 Interesting situation. I had, 3, 3 boys. And, we were looking at an enzyme related to breaking down oxalates. Now, the mother and father each had one SNP, and that’s called heterozygous. Three boys, and they all come together, they’re Amish boys, they’re a lot of fun. And I looked at their genomes, and the one boy didn’t have any SNPs at all. And one had won. And the other one had two. Dr. Deb Muth 00:16:41 Interesting. Bob Miller 00:16:42 So, we don’t quite know how these things get handed off, but with the parents each having one, you could have a child with none, one, or two. So, the one, his ability to break down oxalates, which is fine. The other one was slightly impaired, and the other one was dramatically impaired. So, you can have 3 children, and it all depends what the parents have. Now, if a parent has a homozygous, or 2 copies. And the other parent has nothing. Every child will have one. Okay. If both parents are homozygous, that they both have two, Every child will have two. Dr. Deb Muth 00:17:19 too. Bob Miller 00:17:20 Yes, so that’s the way it works, but, you know, but it’s somewhat rare that both parents are homozygous on an enzyme, but it can happen. Dr. Deb Muth 00:17:27 Do we think that infections today, like Lyme disease or mold exposure, things like that, if the parent, the woman, primarily, I’m thinking, is pregnant, and she actively has these infections. Can those infections affect the genetics, kind of like a past sexual transmission did where we thought back in the day? Bob Miller 00:17:47 Yeah, I… I mean, I’m not that much of a geneticist to answer that for sure, but my thought would be no, that at conception, the pattern’s made. Dr. Deb Muth 00:17:55 Okay. And then that’s… that’s the hand you’re dealt. Bob Miller 00:17:58 Yeah. So, I tell people we have good news and bad news. The good news is we can compensate for the weakness. The bad news is we can compensate for the weakness. Dr. Deb Muth 00:18:09 That is so very true. Bob Miller 00:18:11 Yeah, we can’t, because I often get asked, so we’ll do some things now, and we’ll check my genes again, and they’ll be better. It’s like, nope. Dr. Deb Muth 00:18:18 Oh, – – Bob Miller 00:18:19 You gotta play the hands you’re dealt, so… Dr. Deb Muth 00:18:21 That’s right. Bob Miller 00:18:22 You can test your genetics… if you’re looking at the same enzyme, you can test it every year. It’s not gonna change. It’s like the blueprint. Dr. Deb Muth 00:18:30 It’s good and bad, right? It’s the one test you only have to do once in your lifetime. Bob Miller 00:18:34 No, unless, you know, like, our. Dr. Deb Muth 00:18:36 All the time. Bob Miller 00:18:37 Yeah, now our test looks at, called the Functional Genomic Analysis Test of your genomic Resource. We look at 220,000 steps. Dr. Deb Muth 00:18:46 Wow, that’s a lot. Bob Miller 00:18:47 That’s not all of them. Dr. Deb Muth 00:18:49 Right. Bob Miller 00:18:50 So, maybe in the next year, we’re gonna come out with our third version of the chip. And then, if someone wants to get those new things that weren’t on it, they’d have to repeat. But whatever we measured is gonna stay the same. Dr. Deb Muth 00:19:03 That’s a lot of SNPs to look at. Bob Miller 00:19:05 Keeps us busy. Dr. Deb Muth 00:19:06 But there’s still, but there’s still SNPs that we. Bob Miller 00:19:09 That we’d like to have that we don’t have, so… Bob Miller 00:19:11 We started out with version 1 on our genetic test, then we worked with version 2, and we’re already compiling a list of what version 3 would look like. So if somebody has our version 2, And we’re saying, you know what, it’d be nice if we could see these, well, then you’d repeat, but it won’t change what you already know, so… Dr. Deb Muth 00:19:29 Got it, got it. So, when you started out, and you started looking at the research of Lyme disease and chronic infections, which detox pathways are most important for people who struggle with those conditions? Bob Miller 00:19:43 Okay. You know what might make sense as we do a screen share, and I’ll actually show you the pathway. Does that make sense? Bob Miller 00:19:48 Alright, so… let’s see if I… let me just press the share… Dr. Deb Muth 00:19:52 Yep, you should just be able to press share. Bob Miller 00:19:54 And… number 2. Okay. Are we seeing the screen there? Bob Miller 00:20:01 Okay. Dr. Deb Muth 00:20:02 So, this is a map that we made. Bob Miller 00:20:05 And by the way, this is not… All-inclusive of all the things we look at, but we believe this is a core issue. So, where we’re going to start here, there’s something called the microglia. And the microglia are glial cells. They’re in the brain and the central nervous system. And they’re very interesting little creatures, because most of the time, and this is just a drawing of what they sort of look like. Most of the time, they’re in what’s called the M2 anti-inflammatory mood. What that means, these little guys pick up dirt, debris, Recycle them. Turns on an enzyme called interleukin-10 that’s anti-inflammatory. And just kind of does general housekeeping. And just kind of does general housekeeping. However, when a trigger comes along. However, when a trigger comes along. They… it’s the same glial cell, but it moves over to a very pro-inflammatory enzyme. A pro-inflammatory glial cell. And it triggers these 3 enzymes, Actually, these four. That are pro-inflammatory. Tumor necrosis vector alpha, Interleukin-6. NF Kappa B, Inos. Now, these create inflammation. So you might think, well, why is that good? Well, if you have some foreign invader, virus, bacteria coming in, parasite. If you didn’t have these guys coming to the rescue, you would just die of infection. So, these guys are your friend unless they’re your worst enemy. Because TNFA, and we’ll show you when we actually do a demo account, TNFA can be overactive. So, in other words, it over-responds. Interleukin-6 can be overactive. And if Kappa-B can be overactive. The INOS, and I’ll explain each of these as we go through a demo, can be overactive. Now, what that means is, you’re very good at killing virus and bacteria. But this is where autoimmune disease comes in, and just inflammatory conditions. Now, this is just speculation, but we think what happened is, as you know. Thousands of years ago, we didn’t have refrigeration, we didn’t have sewer, we didn’t have pure water, and we didn’t have antibiotics. So, if you made it to 40, you were an old-timer, because everybody was dying of infection. So, what we believe happened is, by what’s called natural selection, Having these overactive. A thousand years ago was to your advantage. Dr. Deb Muth 00:22:31 Hmm. Bob Miller 00:22:32 But now… We have pure water, we have refrigeration, we have sewers, we have antibiotics. But now we have environmental factors that are stimulating them. Now it’s to our disadvantage. And we’ll talk about that a little bit as it relates to the hemochromatosis genes and maybe the G6PD. Dr. Deb Muth 00:22:48 Yep. Bob Miller 00:22:49 Now, why are we becoming so inflamed? Let’s look at the triggers. Now, one of my, favorite expressions is. I was born all the way back in 1954. Dr. Deb Muth 00:23:01 And it was a different world back then. Bob Miller 00:23:05 These are some of the triggers. And we’ll get into these, but right now, high fructose corn syrup, And the high-fat diet. High fructose corn syrup only came about in 1968. So now we’re being exposed to high fructose corn syrup. Then… we didn’t have these, these viruses like COVID. Dr. Deb Muth 00:23:26 Yeah. Bob Miller 00:23:27 Now, there’s now pretty strong evidence that COVID Was actually, you know, made as a gain of function. It’s debated, and I’m not taking an opinion on it, but there’s some people who believe Lyme disease was also a part of experimentation. Dr. Deb Muth 00:23:40 Go. Bob Miller 00:23:41 Then we have molds, and it appears as though mold is getting stronger. you know, 20 years ago, when I was seeing folks, mold wasn’t on the radar. I would say 7 out of the 10 folks we speak to today have mold problems. Yeah, 20 years ago, we talked more about mold allergy being an issue versus mold toxicity being an issue. Right. So… I know some folks are, you know, speculating what’s happening, but one of the theories out there is that EMF is strengthening mold. I don’t know if you ever heard that theory, and I don’t… Dr. Deb Muth 00:24:13 I have. Bob Miller 00:24:14 I’m not claiming it’s true, but it’s an interesting theory. Then even, you know, your black mold from water-damaged buildings. Then our air pollution is getting worse. We’re getting more toxic metals. Dr. Deb Muth 00:24:26 You know, if we have a… Bob Miller 00:24:27 You know, we’re gonna look back someday and say, what were we thinking, smearing aluminum into our armpits? The, what were we doing putting mercury in our teeth? Then, you know, glyphosate. When I was a kid, there was no glyphosate. So, all of these herbicides and pesticides. Polychlorinated biphenols, And then EMF. So, we love our cell phones, you know, and I think unless you, or in the middle of the desert, or down in a cave, you’re being exposed to EMF somewhere. So, you know, we have our cell phones with us, we have, We have Wi-Fi, the towers are everywhere. And we don’t know long-term, but we may find that this can… this creates some inflammation. And I don’t know if you get any folks, but do you have any folks that have… are they EMF sensitive? Dr. Deb Muth 00:25:16 Oh yeah, we have a whole bunch of them. Bob Miller 00:25:18 Yeah, and then if you have any TBIs, So, plenty of things here. that will stimulate into the microglia, M1. Now, you could say, well. We’re all pretty much exposed to the same thing. Why do some people get hit harder than others? So here’s where we’re gonna start. There’s an enzyme called Nrf2 and RF2. And Nrf2 is the enzyme that senses when there’s inflammation. And turns on hundreds of anti-inflammatory enzymes. We’ll show when we do the demo, you can have genetic weakness on NERF2. And NERF2 inhibits and slows down microglia M1. supports M2. Now, if it’s not complicated enough, there’s an enzyme called KEEP1. And KEEP1 inhibits NRF2. And you can actually have gain of function on keep 1, that makes Keap 1 stronger. So… A lot of the people who land on my doorstep So… A lot of the people who land on my doorstep Both parents gave a mutation on KEEP1, making it overactive. Both parents gave a mutation on KEEP1, making it overactive. Dr. Deb Muth 00:26:31 Hmm. Dr. Deb Muth 00:26:31 Hmm. Bob Miller 00:26:32 Suppressing Nrf2, nerve 2 might be weak. So, nobody’s putting the brakes on, M1. And by the same token, Nerve 2 supports M2. Then there’s a process called mTOR and autophagy. mTOR stands for mammalian tard of rapamycin, the growth of new cells. And then autophagy, taking our dead cells and recycling them. We need a balance between the two of them. If we didn’t have mTOR, the sperm and the egg would never become the baby, the baby would never become the adult, we wouldn’t make new cells. But our cells are constantly, you know, the old cells dying off. Autophagy is where we take that debris from the cell and recycle it, just like a farmer Plows the crop under at the end of the year. The dead plant then becomes the fuel for the spring, your dead cell becomes the fuel for the spring, and that’s autophagy. So we’re gonna look back someday and say, what were we thinking? We give our animals growth hormones so they get fatter faster. Oh my. So, we consume those animals, and inventory runs faster. Now, for anybody who’s, You know, maybe above 40, 45 years old. Think back when you were 12, and what did girls look like? They were primarily flat-chested little girls. Now they look like 16-year-olds. Because environmentally, we’re jacking up mTOR. So, mTOR stimulates microglia M1, suppresses microglia M2. Probably 80% of the folks we visit with. This is the part of the problem. NRF2 is weak. mTOR is strong. Environmental factors come along. And this guy gets carried away. He doesn’t do that burst and move back. Stays here. We’re calling that How environmental factors create a locked-in, pro-inflammatory. and neurotoxic phenotype. In other words, once it starts, it just keeps… Feeding upon itself. Alright, so what happens now when microglia is overactive. it triggers these 3 enzymes, TNFA, N of kappa B, And interleukin-6. Each one of these can have genetics that make them run stronger. Then it stimulates an enzyme called NLRP3, Which makes what are called inflammasomes. Now, guess what inflammasomes can be? Your best friend or your worst enemy? Because they will, if you’ve got, again, a virus or bacteria, or possibly even some bad cells in the body. They will zap them. Well, that’s good. Unless it’s overactive. Unless it’s overactive. And then what it does, through interleukin-1 beta, makes excess glutamate. And then what it does, through interleukin-1 beta, makes excess glutamate. Anxiety, gut inflammation, OCD, ADD, autism. And, you know, glutamate, we’ll talk about that a little bit, but glutamate makes you intelligent, highly motivated go-getter. but can also be excitatory. And then, look what it does. Let’s see, do I have the drawing tool here? Yes, I do. Okay. So, it comes down through here, Makes the glutamate. Comes back up through here. through the ADORA 2A enzyme, Then we’ve got a feedback loop that feeds upon itself. Then, through interleukin-18, we make histamine. and mast cells. And then through histamine receptor site number 1, we come back and spin it. And now you’ve just got this spinning feedback loop. So, the glutamate will make you anxious, the histamine will give you allergies and make you anxious. And you’re allergic to everything, and you’re feeling horrible. Now, it doesn’t end there, Dr. Dad. It then goes on to make something called gast dermins that creates pyroptosis, where it actually starts punching a hole in the cell membrane. And you’re only going to be as healthy as your cells are. Just a little background. You know, we’re made up of trillions of cells, and each one of them has what’s called a lipid bilayer, made from lipids, which comes from fats. And you’re only going to be as healthy as those membranes are. So that’s why we coined an interesting phrase. Cellular CPR. Construct the cell. Protect the cell. And restore the cell membrane. And we believe that’s going to be revolutionary in the functional medicine world. So… It’s not hard to figure out that if you start punching holes in the cell membrane, that’s not a good thing, okay? Bob Miller 00:31:22 Now… There’s an interesting molecule called NAD. Thicotide adenoside dinucleotide. And anybody who’s in the, you know, listening to the health podcasts and things, they’re… They’re, they’re learning about NAD. And I’m going to show you a chart later, all the good things that NAD does, but For the most part, it helps what’s called sirtuins. And sirtuins are quite interesting. If anybody’s looking at longevity. The sirtuins is where they’re looking at.Because sirtuins turn on good things. Turn off bad things. And I’ll show some charts on that later. So for right here, this sirtuin uses NAD, to slow down NF-kappa-B. CERT 2 uses NAD to slow down an ORP3. So, if we’ve got genetic weakness on these, or we don’t have enough NAD, We don’t hold this pathway back. Make sense? Dr. Deb Muth 00:32:24 Yeah, makes perfect sense. Bob Miller 00:32:25 Now, I’ll show this a little bit later. So, people are like, oh, well, I’m gonna start taking some NAD. Dr. Deb Muth 00:32:31 Right. Bob Miller 00:32:32 And there’s functional doctors who give NAD intravenous. It was just this morning, I was talking to a woman who said, Oh my gosh. I went and got intravenous NAD, and it took me a month to recover from that. Dr. Deb Muth 00:32:45 Hmm. Bob Miller 00:32:46 what happens is, and I’ll show this in a little more detail, there’s an enzyme called CD38, that’s stimulated by NF-kappa-B. And it takes NAD, To make intracellular calcium. that stimulates NLRP3 and actually makes things worse. So, if we have this guy upregulated, and I’ll show a chart what does that. taking NAD will make you worse. Again, when I go into the software, I’ll show you that whole pathway, so… I would encourage people, you know, just don’t go out and start taking massive amounts of NAD, you know, stick your toe in the water, see how you do. Because everything you’ve heard about, how good it is, is true, unless this guy says, oh, thank you very much, let me make more inflammation. Now, this might be part of our innate immune system, that if we have some pathogen that’s gonna kill us. By golly, we want that to happen. But if this is happening by environmental factors, Then it’s detrimental. So the immune system that protected us a thousand years ago now might be turning on us because of the environmental factors that we showed earlier. All right. Then there’s an enzyme called PARP that’s NAD-dependent, and that actually repairs strain breaks in your DNA. Now, the next thing that happens… is there’s an enzyme called NADPH oxidase that gets stimulated. and something called INOS. Now, I’m sure most people know about nitric oxide. It’s a gas that dilates your blood vessels. That’s why sometimes they’ll even give people drugs, nitroglycerin, to boost their nitric oxide. That’s why people are doing beetroots and other things to boost their nitric oxide. But there’s an OS3 enzyme that makes the nitric oxide that’s good for blood flow. But there’s an INOS That makes nitric oxide to kill pathogens. probably might be the third or fourth time I’ve said this. That’s a good thing, unless it isn’t. So, if it’s killing some pathogen, great. It was just misfiring. it combines… With superoxide that’s made by this enzyme, and makes something called peroxynitrite, which is one nasty free radical that chews you up and spits you out. So, the NOx enzyme, NADPH oxidase, uses NADPH, To make this free radical called superoxide. If we have time, we’ll get into it. NADPH is what your body needs to recycle your antioxidants.So, I coined the phrase, the NADPH steel. Where the NOX enzyme takes this very important NADPH, And rather than being useful, makes superoxide. Now, again, is that fine if you’ve got some bacteria to kill? Of course. But if it’s just chronically running, it’s just making all this chronic inflammation. Then it makes something called hydrogen peroxide. And we need to clear hydrogen peroxide by 3 enzymes, catalase, thyroid reduction. And glutathione peroxidase. If we have genetic issues on here, or we don’t have the cofactors. There’s something called the Fenton reaction, discovered in 1895 by Dr. Fenton. Where hydrogen peroxide combines with iron to make what are called hydroxyl radicals. And guess what they do? They create lipid peroxides, That damages your cell membranes. Now, again, the body’s pretty darn amazing. We have glutathione, And here’s where your body’s taking glutathione and recycling it. But look who’s needed to recycle it. NADPH. So, if this guy up here is chewing it up, We don’t recycle our glutathione. And then an enzyme called glufon peroxidase 4, Takes this damaged lipid and repairs it. So, here we’ve got this protecting, we want to protect it by not having this happen. But then we also need this guy to do the restoration. So, there’s a lot that can go wrong in here, Dr. Deb. Dr. Deb Muth 00:37:07 There’s a lot that could go wrong. And I can imagine some of my listeners are thinking that lipid peroxidase, is that the same thing as what they’re thinking of when we talk about lipids and cholesterol? Is that the same process that’s happening there? Bob Miller 00:37:22 Well, no, no, the lipids can be used to make cholesterol, but here we’re talking about where they’re going to build the cell membrane. And they’re being… and they’re being, destroyed. If anybody would like to see a visual representation of this, just go on YouTube. And type in, ferrooptosis Animation. cool little video, it’s about 3 minutes long, and it shows the lipids coming over, being oxidized, and now GPX4 fixes them, so… YouTube, Pharaoptosis Animation, cute little video. It’s just that really… Shows vividly what we’re… what we’re talking about here. Now, this is… Dr. Deb Muth 00:37:59 And so this is very common, too. Like, a lot of people do hydrogen peroxide IVs. Dr. Deb Muth 00:38:04 And so, if somebody doesn’t know their genetics, they could have a problem with doing those, just like they could doing the NADHIVs, correct? Bob Miller 00:38:13 Sure, yeah, yeah, yeah. So, I’ve talked to so many, you know, of course, the hydrogen peroxide kills pathogens. I mean, that’s what it does. So… but I’ve spoken to so many people that said. I had one client that said they’ve never been the same after having one hydrogen peroxide infusion. Dr. Deb Muth 00:38:30 Interesting. Bob Miller 00:38:31 Yeah. So… it can be… I see why people use it, because it. Bob Miller 00:38:36 pathogens, But on the other hand. And now’s a good time to speak about… I don’t have it on here, but there’s a, there’s an enzyme called the HFE gene. And that is what causes you to absorb iron. And there’s mutations in it that cause something called hemochromatosis. Were you overabsorb iron? Now, true hemochromatosis is when both parents give you a mutation. But there’s now growing evidence even a heterozygous can cause a little bit more iron absorption, not to the human chromatosis point, but overabsorption. So, if you overabsorb iron, And you have too much hydrogen peroxide that’s not cleared, All kinds of inflammation. Now, what’s happened is sometimes this inflammation Will damage the red blood cells. And some well-meaning doctor says, oh, you need some iron. And they take iron and it makes it worse. So, can’t tell you how many people I’ve said, you’ve got the overabsorption of iron, and they say, well, that can’t be right, because I’m low in iron. Well, that could be because it’s being chewed up here. Dr. Deb Muth 00:39:40 Sure. GPX1 and TXN turn it into, to water. The, catalase turns it into water and oxygen. Dr. Deb Muth 00:39:58 Now, I see a lot of my clients who have mutations or SNPs on that GPX gene, on that glutathione gene. And they really struggle to clear a lot of their toxins. Bob Miller 00:40:12 Sure. Dr. Deb Muth 00:40:14 Yeah, absolutely. Well, GPX4. Bob Miller 00:40:18 is what, repairs, but you can see GPX1 Is what uses glutathione. To turn hydrogen peroxide. So, but it all depends upon having enough glutathione. Dr. Deb Muth 00:40:30 Yeah. Bob Miller 00:40:31 Well, guess who controls making a glutathione? Dr. Deb Muth 00:40:34 Nerf 2. Bob Miller 00:40:37 So, if you have a keep one weakness, or strength to two… I’m sorry, keep one is too strong. Nrf2 is too weak. You don’t make glutathione. So, when a lot of people do that, it’s like, well, I’m gonna take glutathione. Dr. Deb Muth 00:40:51 Right. Bob Miller 00:40:52 And some do great, and some do poorly. You know, because… and I’ll show this on one of the other charts. You can see here that the, The glutathione has to be recycled. And if we don’t recycle it, it actually turns into superoxide free radical. So… NADPH are the cofactors, For taking the oxidi… here’s oxidized glutathione, here’s reduced. So, this is a good glutathione. After it does its job, you can see it becomes oxidized.We need to recycle it. Well, if we have weakness on the enzyme that does that, or a weakness in Nrf2, or not enough NADPH. The oxidized glutathione never gets recycled. So, I’ve talked to a lot of people who said, oh, glutathione made me so sick, and say, well. Dr. Deb Muth 00:41:43 Yeah. Bob Miller 00:41:44 You need it, but you need to recycle it. Dr. Deb Muth 00:41:46 Can you speak for just a brief moment, too, about MTHFR? That is a very popular gene, it’s all over social media as the major gene, but can you speak to a little bit about that, and how that fits into this whole process of things? Because it is just such a small piece. Dr. Deb Muth 00:42:04 understanding genetics. Bob Miller 00:42:06 Yeah, to be honest, it drives me nuts. Dr. Deb Muth 00:42:08 Me too. Bob Miller 00:42:11 Alright, so… You know, there are people on social media I won’t say what I think, I’ll be kind. But… But the, And, you know, they might mean well. But they talk about, if you have MTHFR and COMT and PEMT, that’s… oh my goodness, that’s horrible, and we’ll fix that for you, and you’ll be fine. Bob Miller 00:42:36 it just irritates me to no end. And it really could get anybody who’s doing this legitimately in trouble. I mean, I’m afraid someday, you know, there might be some cracking down on this kind of nonsense. Now, to answer your question about MTHFR. Dr. Deb Muth 00:42:51 I mean, it really is, but I’ll tell you what, why don’t we hold that thought until I go to another map and I can actually… Okay. Bob Miller 00:42:56 But the real… the cliff notes is the MTHFR puts a methyl group on your folate, which is needed, but it has gotten way, way, way too much attention. And people learn they have MTHFR, and they start taking a multivitamin with methylfolate, then they take a B vitamin with methylfolate. Dr. Deb Muth 00:43:13 And they’re pushing it too hard. Bob Miller 00:43:15 Yeah. So I can’t tell you how many people I’ve helped by saying, stop it. Dr. Deb Muth 00:43:20 Yeah, take less of it. Bob Miller 00:43:21 Take less of it, yeah. So, yeah. Yeah, there’s a… If somebody, say, ranked the enzymes at their level of importance, MTHFR might be 40 or 50 on a scale of 100, you know. Keep one Nerf two. big deals. Dr. Deb Muth 00:43:40 deals. Bob Miller 00:43:41 NQO1 that I didn’t even talk about yet, NQO1, takes your, NA… your NAD goes into NADH, To make electrons for the electron transport chain. you need NQ01 to bring that back. If that’s not working, and I’ll show you on the NAD map how disastrous that can be. Now, the next piece is here, and I think You know, if you talk to any school teachers and say, if you’ve taught for more than 10 years, how are the kids today? Every one of them says, more ADD, ADHD, more autism. Just look at human beings, we’ve never been so agitated. You know, everybody, and it might be a social media thing, but people take a position on something, and if anybody doesn’t share that position, they view them as the enemy. Dr. Deb Muth 00:44:29 And it’s kind of scary what’s happening to us. Bob Miller 00:44:33 So, we can’t agree to disagree anymore. We see anybody who has a differing opinion as the enemy. And, you know, there was… there’s people that didn’t have Christmas dinners together, because they had political differences, like… Dr. Deb Muth 00:44:44 Excuse me. Bob Miller 00:44:45 can’t you put your political differences aside to have Christmas together, you know? Dr. Deb Muth 00:44:49 Right? Bob Miller 00:44:50 become that, you know, no matter what your position is, and I’m not saying anyone’s right or wrong, I’m just saying. You know, in the old days, they used to say that the Republicans and Democrats in Congress would argue policy and then go have dinner together. And now everybody’s all up in arms, angry. Dr. Deb Muth 00:45:05 Yeah. Bob Miller 00:45:06 So… There’s likely multiple reasons for that. But let me show you one of them. That, you know, to what degree this is… very important, we don’t know, but I think We’re beginning to believe this is very important. So, there’s something… there’s a neurotransmitter called GABA. And God buys the don’t worry, relax, be happy. Chill. Okay. Dr. Deb Muth 00:45:31 Nobody has enough of that anymore. Bob Miller 00:45:33 Well, yeah, you’ll be surprised what I’m gonna show you. So, let me see if I can find a, Let me see if I can find the right slide here. Let me look for it here. So, there’s something called a GABA receptor site. And here you can see… This is a neuron, and this is where you, The neuron normally is excitatory. However, there’s normally low chloride in the neuron. Dr. Deb Muth 00:46:09 Hmm. Bob Miller 00:46:10 So, GABA itself is neither relaxing. For excitatory, all GABA does, it opens up what’s called a chloride channel. And then chloride, which has a negative charge, will flow into the neuron. Follow me there? Dr. Deb Muth 00:46:26 Yep. Bob Miller 00:46:27 And as it does, it changes this from a positive charge to a negative charge, And it’s relaxing. and inhibitory. Dr. Deb Muth 00:46:34 Hmm. Bob Miller 00:46:36 Now, on the other hand, there’s enzymes called NKCC1, That will push chloride in. and KCC2 that will bring chlor… oops and bring chloride out. And then there’s a sodium channel. And, sodium has a positive charge. And glutamate will push that in. So, as long as this is happening. And GABA says, receptor sites, open, chloride goes in, Chill. However, If NKCC1 Pushes extra chloride in. KCC2 doesn’t pull it out. and GABA hits the receptor site, the GABA comes flowing out, Sodium comes in, And now it’s excitatory. So Gabba didn’t change. GABA just opened the receptor site, that’s all it does. Dr. Deb Muth 00:47:33 Yeah. Bob Miller 00:47:34 But it’s the chloride balance that’s going to determine whether this is relaxing or not. Now, these are the things that go along with when they lose that KCC2 or gain NKCC1. Pain and sensitivity, burning electrical, neuropathic pain. Normal touch hurts. Sound and light sensitivity. Tinnitus can flare. Headaches and migraines. Seizure tendency. Body jolts. Spasticity, cramps, stiffness, startle reflex. Trouble falling asleep, non-restorative sleep. Anxiety, stress, reactivity, that’s what we have now. Hyperarousal, panic-like surges, irritability, racing thoughts. Brain fog, slowed processing, working memory slip-ups. Mental fatigue. Episodes of racing hearts, sweaty palms, guts on edge. Those are all the things that happen when this GABA switch occurs. Now, here’s what happens, and this is what I’m going to be presenting at an autism conference. When you have a newborn, they need that NKCC dominant to develop. By early childhood, it should… or, sorry, early adulthood. we should move over to the KCC dominant, that’s the taking the chloride out. Nice-looking 25-year-old boys, functioning very well. However, when we get microglia M1 upregulated. Because of environmental toxins, processed foods, Tylenol, aluminum. they stay in NKCC1 dominant, and there’s ADD, ADHD, Autism, the whole spectrum. because… They’ve not moved over to the… They’ve not moved over to the KCC2. And again, this is caused by… Environmental factors. Stimulating the microglia. And then, interleukin-1, interleukin-18 weakens KCC2, interleukin-1 beta, Strengthens NKCC1. high chloride. We open up the chloride channel, In Rebell Excitatory. So, I think when, When the pediatricians get ahold of this, they’re going to be very excited to know that This could be why we’re seeing such a rise, and not just autism, but ADD, ADHD, anxiety, the whole shit mess. Dr. Deb Muth 00:49:58 thing. Bob Miller 00:49:59 Yeah, so… and you can see NF-kappa-B stimulates that. These stimulate it, and I think that’s why everyone’s getting so anxious. Now, there’s a little bit more to it, and we’ll get into this when we look at some of the maps, but… The, the glutamate, Which is excitatory. will stimulate the NMDA receptor, make more glutamate, And glutamate will inhibit KCC2. And then we also need an astrocyte To, take both ammonia And glutamate, and… Turn them back into glutamine. And I’m going to talk to you a little bit about arachidenic acid, and if we have too much arachidenic acid. or TNFA is upregulated, that doesn’t happen. Ammonia goes up, and there may be multiple reasons for this, but this is a reason why some of the autistic kids do flapping. Dr. Deb Muth 00:50:49 Hmm. Bob Miller 00:50:50 Because they’re not clearing their ammonia. And you can tell if somebody has high ammonia by… they get that old person smell, you know. Dr. Deb Muth 00:51:00 Yup. Bob Miller 00:51:01 your vehicle cycle’s not taking out the, the ammonia. Now, last pathway here. There’s growing interest in mast cell activation. So, back here, we talked about peroxynitride. And that will stimulate mast cells, and those are white blood cells that are your best friend, unless they’re your worst enemy. Then it’ll make histamine. And there’s enzymes called histidine decarboxylase that’ll make more. Dr. Deb Muth 00:51:28 I’m sure everybody’s heard of DAO, the enzyme that degrades histamine. Yep. Bob Miller 00:51:31 We can have genetic weakness, we don’t make that. There’s an enzyme called histamine and methyltransferase, That, That breaks down the histamine. Then if we don’t do that, it’ll get stuck in the histamine receptor site. And then it’ll make something called, renin. Which will cause angiotensinogen to turn into angiotensin. One, that turns into angiotensin II,And that’s where people make aldosterone, where they’ll get the, The swollen ankles and high blood pressure. But interestingly, there’s an enzyme called ACE2, that takes this guy and turns it into angiotensin 1-7, Which is anti-inflammatory and also inhibits… TNFA. Now, you can have weakness on ACE2, But… and anybody’s saying, that sounds familiar? Dr. Deb Muth 00:52:25 That’s where COVID comes in, using ACE2. Bob Miller 00:52:28 And now we just found there’s literature that if you get COVID long enough, it can actually make ACE2 not be able to work as well. So look what it does. It comes down here, stimulates the NADPH oxidase, More superoxide. More peroxynitrite. And we’re on a cycle here. We’ve actually named this the Home Cycle Hypothesis, the proposed feed-forward loop. That just keeps feeding on itself. All being caused by… Primarily, The environmental factors. But hitting those who have genetic weakness the hardest. That’s why. Dr. Deb Muth 00:53:08 To the people. Bob Miller 00:53:09 Don’t live in a moldy house. One person is sick as can be, and the other person says, well, you must be imagining things, because I don’t feel anything. Dr. Deb Muth Yeah. Same thing with long haul, right? Two people can both get sick, one gets sick and never seems to recover, and somebody else gets sick, and they have absolutely no problems with it at all. Bob Miller 00:53:30 Sure. Well, think about it, if you get COVID, and ACE2 is weak, and some of this other stuff is going on. This thing just starts feeding upon itself. Dr. Deb Muth 00:53:38 Keep creating more inflammation, more complications, nothing’s calming down. Bob Miller 00:53:43 Yeah. Now, you, you ask about, MTHFR. So, this is the, this is the, the software called Functional Genomic Analysis. There’s a demo report we have. So, let’s talk a little bit about, MTHFR. So, we actually have a map called a methylation map. Now, what happens is, when you do your saliva test, you, you know, you spit, you put some saliva. in a collection kit, goes to a lab, takes out the DNA data, sends it to the computer, and now you can actually see it visually. Okay. So, it’s gonna take a second for this, data to load up, it’s, and each of these Circles, each of these ovals, is an enzyme. And the data gets loaded up to see where it is. So, until it gets loaded up here, I didn’t preload this. There it goes. So… The primary thing about methylation is There’s a nasty substance called homocysteine that, if it’s too high, can really be detrimental. The body takes methylfolate, and combines with methyl B12, To bring this back up to methionine. And then through the MAT genes, we make SAMI, S-adml methionine. Which is involved in so many processes. Then after it does its thing, it turns back into homocysteine. And this thing needs to keep spinning around. That’s why, you know, it’s a good idea to keep homocysteine at, do you have a number that you’d like? 7, 8? What do you like for a number? Dr. Deb Muth 00:55:24 Yeah, I like mine below 7. Bob Miller 00:55:26 Yeah. So if the homocysteine goes too high. It, caused all kinds of problems. So, here’s where you ask about the MTHFR. So, here you can see on this individual. I click on MTHFR, and you can see it comes up here, here’s the C677. And you can see here where it says, variants. I’ll… I’ll draw in case somebody’s having a hard time seeing that. So, you can see there’s nothing in there. That means there’s no genetic mutations. If one parent would have given a mutation, there’d be a 1. If both parents did, there’d be a 2. Now, here’s why Yes, methylation is important, I’m not saying it isn’t important, but look at this MTHFRC677. In my software. Only 42.5% of the population does not have a mutation. 44.7% have won. 12.9 have 2. So, this isn’t some rare, oh my god, I’m gonna die… Kind of thing, yeah. Dr. Deb Muth 00:56:27 Right. Bob Miller 00:56:28 So, And then what happens is that, and again, I’m not dismissing methylation, I… we could do a whole show on methylation. Bob Miller 00:56:36 get it. But I think that what people are doing is they’re, they’re learning about MTHFR, they get it measured, they panic. They start taking massive amounts of methylfolate, which many times is to their detriment. Dr. Deb Muth 00:56:50 Well, it’s… and isn’t it true, too, with MTHFR, like, you have to also look at MTR, MTRR, and the more we stack up of those, the more complicated than MTHFR can be. It’s not… it’s not as simple as just saying MTHFR 677 versus 1298. It’s more complex than that, kind of like what you’ve already shown with some of the other things. There’s more to it than just that one little sliver. Bob Miller 00:57:17 Oh, sure, well, let’s take a look. So, remember I said there’s a cofactor? One of the cofactors is called FAD. Just a Bob Miller observation, that’s all. But when people have trouble with their riboflavin and they don’t have enough FAD, They’re doing much worse than people who have just a C677. So, right here, you could have perfect C677th. And if you don’t have the cofactor, it’s not gonna work, okay? Dr. Deb Muth 00:57:48 And as you said, there’s an MTR enzyme. Bob Miller 00:57:51 that takes methylfolate and methyl B12, to spin it around. So, here on this individual. here’s your… here’s your B vitamins, or I’m sorry, your B12s. There’s an enzyme called TCN1 that takes it from the stomach into the blood. Then there’s other enzymes that take it from the blood into the tissue. And if you’re having trouble here. Well, then you’re not going to have this working, so… Even if you don’t have MTHFR, And you have MTR, like this, no, I’m sorry, this person doesn’t. But they have the MTRR, and then they don’t have enough B12, this isn’t gonna work, aside from that. And then there’s a middle pathway. And then there’s enzymes called the MAT1. they take the methionine to the salmon. If that’s not working, we stick… we get stuck in methionine. So, it’s, it’s not just an MTHFR. And then, one of the things that people forget about. is through these CBS enzymes and CTH, We make cysteine, which is needed to make glutathione. The master antioxidant. So, it really is that… I call it the, The 3D chess game played underwater. Dr. Deb Muth 00:59:07 It really is. I mean, I see people who have CVS, COMT, glutathione, MGHFR genes. And some of them function just fine. Like, they have Like, I look at this person and I’m like, oh my gosh, I don’t know how they’re functioning because they’re double mutated on so many pathways, but yet they don’t have a lot of symptoms, they don’t have a lot of complications. Somehow their body has figured out a way to adapt to what it has so it can stay alive and it can function at a high functioning level. Bob Miller 00:59:36 Yeah, and they may be, you know, eating right? Yeah. Staying out of a moldy house. reducing stress. So, it’s diet, it’s stress, it’s genetics, environmental factors. So, yeah, we can’t just say somebody’s gonna be good or somebody’s gonna be bad. You know, some people get scared, oh, I got all these, it’s like, well… Bob Miller 00:59:56 Are you living in a moldy house? You know, and if you live in a moldy house and your glucuronidation pathway doesn’t do well, or if you’re, you know, a smoker, or you’re constantly eating junk food, I mean, all. Bob Miller 01:00:07 things come together. Although, you know, when we focus on genetics, we’re well aware that this is just a piece of it. You know, you could have identical twins, Genetically, and if one… Is exposed to mold and smokes and drinks and stressed out. They’re gonna be a whole lot sicker than their sibling. Bob Miller 01:00:28 Yep. Dr. Deb Muth 01:00:29 Yeah, it’s that concept of taking twins, and one gets raced with one family, and one gets raced with another family, and they don’t have the same… problems that… that each other have, you know? It’s a very unique situation, we don’t think about that enough. Bob Miller 01:00:44 Alright, so again, genetics loads the gun, environment pulls the trigger. So, if you’ve got a loaded gun, but you don’t have the triggers, you’re okay. Dr. Deb Muth 01:00:53 Yeah. Bob Miller 01:00:54 Yeah. So, remember I said I was going to talk about NAD? So, here’s NAD, and what it does, it turns into NADH. And what NADH does, it, Comes down this pathway, what’s called the electron transport chain. And that makes your ATP, that’s your energy. So, if this wasn’t working, we wouldn’t be alive, because we wouldn’t have energy. So it donates an electron, that’s why it’s called electron transport chain. So, we need NAD, To make this, to make the energy. But remember I said that NQ01, this would probably be, like, on my top 10 list of… Bob Miller 01:01:36 Much more important than MTHFR. This one takes NADH back to NAD. If we’re stuck over here, We’re low in this NAD+, But what happens is, NQO1 also provides CoQ10. And CoQ10 Is what’s needed for the electron transport chain to flow. So if we get too many electrons up here. And they don’t turn them into energy. They make a nasty free radical called superoxide. Okay. Now, NAD plus also makes NADPH, And that is needed. Remember I said we need to recycle our antioxidants. So, if we have a problem with FAD from riboflavin. Yeah, we don’t have enough NADPH, Glutathione’s not getting recycled, and you’re gonna be inflamed. And you take glutathione, you’ll feel worse. There’s another enzyme called thimoredoxin. Same thing, needs NADPH and FAD. And same way with your nitric oxide, there’s an enzyme called NOS3, That makes the nitric oxide that dilates your blood vessels. And if we don’t have enough NADPH or fat, You’re gonna make superoxide. Rather than nitric oxide. Now, remember

Get double the episodes, and keep FUT Weekly going (for just £3 a month) by becoming a Patreon over at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠bit.ly/morepod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. This includes an exclusive supporter podcast this week! EA Principle Gameplay Designer on FC, Gili Lopes, joins your hosts Josh and Ben to discuss the latest gameplay update in FC 26 and more: Chapters (please note, as Spotify inserts ads into run time, these timestamps will usually be behind when the topics starts): 00:00 Introduction to Gameplay Changes 01:15 Understanding the Bruiser Patch 07:16 Balancing Bruiser and Enforcer Mechanics 13:48 The Complexity of Defensive Mechanics 24:32 Changes to Intercept Play Style 34:22 Exploring Gameplay Mechanics and Depth 36:45 Understanding Team Press Changes 42:10 Balancing Responsiveness and Gameplay 51:51 Future Directions in Competitive Gameplay Learn more about your ad choices. Visit podcastchoices.com/adchoices

Olivier Bourquin : Nerf Vague et alimentation. Quel lien existe-t-il entre le nerf vague, la prise de poids et notre équilibre hormonal ? Pourquoi certaines personnes stockent-elles malgré une alimentation équilibrée ou une activité physique régulière ? Comment le stress, le sommeil, l'inflammation ou encore la respiration influencent-ils directement notre métabolisme ? Respiration nasale, cortisol, microbiote, glycémie, hormones, masse musculaire : Olivier Bourquin décrypte avec pédagogie les multiples facteurs qui dérèglent le corps bien au-delà des seules calories. Une approche profondément holistique pour mieux comprendre le fonctionnement du système nerveux autonome et retrouver un rapport plus apaisé à son corps et à sa santé.La série ROUTINES & RITUELS : Nerf Vague et alimentation avec Olivier Bourquin, nutritionniste et auteur de Cortisol, dopamine, sérotonine…La révolution des hormones et des neurotransmetteurs aux éditions Eyrolles. Pendant 4 semaines, nous allons découvrir comment le nerf vague, véritable lien entre le corps et le cerveau, influence notre stress, notre digestion, notre sommeil et comment l'alimentation peut en devenir un levier puissant. Une citation avec Olivier Bourquin :"Le corps, pour se défendre, une des premières choses qu'il fait, c'est de stocker. Il fonctionne de manière archaïque."À réécouter : Manger pour un nerf vague en pleine forme !Nerf vague, la clé pour enfin retrouver un sommeil réparateur !Les clés pour sortir du burn-out en réparant son système nerveuxRecevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook et TikTokAbonnez-vous sur Apple Podcasts / Spotify / Deezer / Castbox / YouTubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Olivier Bourquin :00:00Introduction nerf vague01:30Méfiance vis à vis des injonctions05:53Le rôle des mitochondries09:14Les freins à la perte de poids10:56Les questions à se poser17:23Cortisol et prise de poids20:11Rééquilibrer le système nerveux autonome23:32Importance du renforcement musculaireAvant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

The world's biggest superheroes are built on more than spectacle. They're built on identity, emotion and fandom. In this episode of Brand Slam, hosts Steve Rosa and Joe Kayata go inside Hasbro's Marvel universe with Mike Pullano, Senior Director of Global Brand Strategy & Marketing leading the Disney Marvel portfolio. From Spider-Man and Black Panther to X-Men, Deadpool and The Avengers, Mike shares how one of the world's most iconic entertainment brands continues to scale globally while staying emotionally connected to fans across generations. The conversation explores what it takes to balance storytelling with business performance, market simultaneously to kids, parents and collectors, and evolve legendary franchises without losing what made audiences fall in love with them in the first place. Mike also reflects on his 15-year journey at Hasbro, helping shape powerhouse brands including Monopoly, Nerf, Peppa Pig, Furby, Baby Alive and Super Soaker. Along the way, he breaks down the strategy behind licensing partnerships, global audience engagement and building fandom that lasts far beyond the screen. For marketers, entertainment leaders and brand builders, this episode offers a powerful look at how emotional connection, consistency and community continue to drive winning brands in a crowded entertainment landscape. Have an idea for a guest? Reach out at brandslam@addventures.com.

Et si nos échecs n'étaient pas des fins, mais des étapes essentielles vers la réussite ? Dans un monde où la performance et la réussite immédiate sont souvent valorisées, comment accepter l'échec et en faire un levier de progression ? Cette émission En quête de sens vous propose d'explorer les mécanismes psychologiques, les stratégies de résilience pour transformer vos échecs en opportunités. Découvrez ainsi comment changer de regard sur l'échec, adopter une mentalité de croissance et rebondir plus fort après chaque chute. Une émission pour comprendre que l'échec n'est pas une fatalité, mais une étape nécessaire vers le succès.Peut-on en finir avec les échecs à répétition ?Ludovic Leroux est spécialiste du système nerveux et ancien coach mental de sportifs d'élite, dont des athlètes olympiques. Il est notamment l'auteur du best-seller Nerf vague (Ed. Eyrolles) et Quand on peut, on veut ! (Ed. Eyrolles)Régis Rossi, conférencier professionnel. Il démontre, à partir des mécanismes de l'illusion, comment les émotions conditionnent nos perceptions, nos prises de décision et nos comportements. Il est co-auteur de L'art de l'attention, se concentrer dans un environnement de distractions » (Ed. Eyrolles)Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Olivier Bourquin : Nerf Vague et alimentation. Qu'est-ce qui mène réellement au burn-out ? Pourquoi certaines personnes s'effondrent-elles brutalement ? Et si ce n'était pas seulement une question de fatigue, mais un dérèglement profond de notre système nerveux autonome ? Olivier Bourquin nous plonge au cœur du fonctionnement du nerf vague, du stress chronique et des mécanismes biologiques qui conduisent à l'épuisement. Il partage les signaux d'alerte, les états de sidération, mais aussi les pistes concrètes pour retrouver l'équilibre : sommeil, respiration, vibration, micronutrition, cohérence cardiaque.La série ROUTINES & RITUELS : Nerf Vague et alimentation avec Olivier Bourquin, nutritionniste et auteur de Cortisol, dopamine, sérotonine…La révolution des hormones et des neurotransmetteurs aux éditions Eyrolles. Pendant 4 semaines, nous allons découvrir comment le nerf vague, véritable lien entre le corps et le cerveau, influence notre stress, notre digestion, notre sommeil et comment l'alimentation peut en devenir un levier puissant. Une citation avec Olivier Bourquin :"Le burn-out, c'est d'une telle violence que je considère ça comme une petite mort."À réécouter : Manger pour un nerf vague en pleine forme !Nerf vague, la clé pour enfin retrouver un sommeil réparateur !Recevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook et TikTokAbonnez-vous sur Apple Podcasts / Spotify / Deezer / Castbox / YouTubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Olivier Bourquin :00:00Introduction nerf vague00:35Le burn-out : un phénomène massif 01:62Dérégulation du système nerveux autonome 04:57L'expérience personnelle d'Olivier Bourquin 08:07Comment s'en remettre ? 13:45Réactiver son cortisol grâce à la micronutrition 16:16Les bienfaits des bols tibétainsAvant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Le CH commence bien face aux Hurricanes! Sports et société avec Jean-Charles Lajoie. Regardez aussi cette discussion en vidéo via https://www.qub.ca/videos ou en vous abonnant à QUB télé : https://www.tvaplus.ca/qub ou sur la chaîne YouTube QUB https://www.youtube.com/@qub_radioPour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

This week, Alex is joined by Marvel Snap creator and Marvel Yap co-host: Tuccrr! The duo kicks things off with a deep dive into the latest card releases. They discuss why the highly anticipated Punisher War Machine is currently falling flat in the meta, and debate whether the massive 4/12 stats on Akari are worth the awkward deck-building restrictions. Plus, they break down Muse, exploring how this new 3-Cost Ongoing card could revitalize mid-range Destroy decks featuring Weapon X and Dormammu.Next, Alex and Tucker play game designer and build their ultimate wishlist of Cards We Want Un-Nerfed. They debate the chaotic implications of reverting Marvel Snap's most infamous cards back to their original, overpowered states, including 3/5 Loki, 2-Cost Zabu, Original Ms. Marvel, 2-Cost Elsa Bloodstone, and the 2/4 Agent Venom.Finally, the hosts pitch some desperate reworks for the game's worst cards. Could Major Victory be redesigned as a High Evolutionary for the Guardians of the Galaxy? Does Mantis need to disable Objective cards? And why does Negasonic Teenage Warhead look exactly like Jack from Mass Effect?Join Alex Coccia and special guest Tuccrr as they chat about this and more on this episode of The Snap Chat—and catch Cozy and Alex every week as they discuss all things Marvel Snap.Have a question or comment for Cozy and Alex? Send them a Text Message.You've been listening to The Snap Chat. Keep the conversation going on x.com/ACozyGamer and x.com/AlexanderCoccia. Until next time, happy snapping!

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Olivier Bourquin : Nerf Vague et alimentation. Quel lien existe-t-il entre le nerf vague, notre sommeil, l'alimentation, notre fréquence cardiaque et notre niveau de stress au quotidien ? Comment nos habitudes, du café du matin au verre du soir, influencent-elles en profondeur notre équilibre nerveux ? Et si la qualité de notre récupération dépendait en grande partie d'un indicateur encore méconnu : la variabilité de la fréquence cardiaque ? Olivier Bourquin nous éclaire sur le rôle central du nerf vague dans la régulation du sommeil et de l'énergie. De la respiration nocturne aux choix alimentaires, des rythmes biologiques aux routines du coucher, il nous guide avec précision vers des ajustements concrets et accessibles. Un épisode essentiel pour retrouver un sommeil véritablement réparateur et soutenir durablement son système nerveux.La série ROUTINES & RITUELS : Nerf Vague et alimentation avec Olivier Bourquin, nutritionniste et auteur de Cortisol, dopamine, sérotonine…La révolution des hormones et des neurotransmetteurs aux éditions Eyrolles. Pendant 4 semaines, nous allons découvrir comment le nerf vague, véritable lien entre le corps et le cerveau, influence notre stress, notre digestion, notre sommeil et comment l'alimentation peut en devenir un levier puissant. Une citation avec Olivier Bourquin :"Plus votre variabilité de fréquence cardiaque est bonne, mieux votre nerf vague fonctionne et mieux aussi vous allez dormir."À réécouter : Manger pour un nerf vague en pleine forme !Recevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook et TikTokAbonnez-vous sur Apple Podcasts / Spotify / Deezer / Castbox / YouTubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Olivier Bourquin :00:00Introduction nerf vague01:30L'impact du nerf vague sur la fréquence cardiaque07:32Bouche fermée et qualité de sommeil11:31Retrouver un sommeil réparateurAvant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Patch 12.09 kommt mit lang ersehnten Neon Nerfs!! Reichen die aus, um die Frustration in der SoloQ und die Dominanz im eSports zu beseitigen? Außerdem schnacken wir über eine überraschend gute Flex Capsule, sowie die Entscheidungen in den VCT Playoffs.

Send us Fan Mail10,000 downloads later, we're still the same two humans figuring out marriage in real time, including the messy parts we'd love to skip. We start with gratitude for everyone who listens while cooking, driving, or trying to feel a little less alone, then we pivot into a story that proves how fast a tiny miscommunication can turn into a full-body anger response.We unpack what it feels like when you're “big mad,” why it can take hours to come down from that heat, and how stress and cortisol make emotional regulation harder than people think. We talk about the difference between reacting in the moment versus stewing in silence, when a timeout helps, and why “over-communicate” is often the simplest marriage advice that actually works. You'll also hear how a partner who's calm the next morning can be both a blessing and incredibly irritating when you're still stuck in the spiral.From there, we widen the lens to healthy relationships at home: letting kids see conflict resolution, repair, and reassurance so they learn that an argument doesn't mean the relationship is ending. We get into self-reflection, outside perspective, and how family-of-origin patterns, gender expectations, and even prior marriages can shape how we fight and reconnect. And because we're us, we end with what keeps things hopeful: dating your spouse, protecting fun, and using playful resets when tension rises, whether that's a tandem bike trust exercise, a ridiculous parrot squawk, or a Nerf battle.If this hits close to home, subscribe, share the episode with a friend, and leave a review so more people can find honest conversations about marriage communication, conflict, and repair. What's your go-to move to cool down and come back together?Please be sure to checkout our website for previous episodes, our psych-approved resource page, and connect with us on social media! All this and more at www.thelylaspodcast.com

Olivier Bourquin : Nerf Vague et alimentation. Quel rôle le nerf vague joue-t-il dans notre digestion, notre respiration et notre gestion du stress ? Comment notre alimentation quotidienne peut-elle soutenir, ou au contraire dérégler, notre équilibre ? Et si la clé de notre énergie, de notre calme intérieur et de notre santé globale passait par cette “autoroute” invisible entre le corps et le cerveau ? Olivier Bourquin nous invite à découvrir le rôle fascinant du nerf vague, véritable chef d'orchestre de notre système nerveux autonome. De la glycémie à l'inflammation, des choix alimentaires aux rythmes hormonaux, il nous montre comment retrouver une harmonie durable sans tomber dans les extrêmes. Un épisode éclairant pour reprendre les rênes de son équilibre intérieur.La série ROUTINES & RITUELS : Nerf Vague et alimentation avec Olivier Bourquin, nutritionniste et auteur de Cortisol, dopamine, sérotonine…La révolution des hormones et des neurotransmetteurs aux éditions Eyrolles. Pendant 4 semaines, nous allons découvrir comment le nerf vague, véritable lien entre le corps et le cerveau, influence notre stress, notre digestion, notre sommeil et comment l'alimentation peut en devenir un levier puissant. Une citation avec Olivier Bourquin :"Ce que vous mangez, ce que vous buvez peut influencer directement cette autoroute si passionnante qu'est le nerf vague."Recevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook et TikTokAbonnez-vous sur Apple Podcasts / Spotify / Deezer / Castbox / YouTubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Olivier Bourquin :00:00Introduction01:30Le rôle du Nerf vague et ce qui le dérègle05:31L'alimentation idéale pour soutenir le nerf vague20:30Le meilleur dîner pour favoriser le sommeilAvant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

We kick off with Three Word Week - Patsy becomes obsessed with her security‑camera neighbourhood watch, Alex unleashes Nerf‑gun mayhem, and Rio witnesses “old people privilege” in a supermarket queue. Plus, another round of Australia’s Funniest Mum, Car Names and Power Outages & What Are The Odds. We wrap with Athlete Songs for At Work Time Wasters!See omnystudio.com/listener for privacy information.

Notre répondeur vocal: https://www.vodio.fr/repondeur/311/Le fou rire, sujet atypique en sexo et très peu documenté. Avez-vous déjà vécu un fou rire après un climax sexuel ? Ou bien vous avez été témoin de fou rire à l'issu d'un climax sexuel ?Avez-vous déjà observé à quel point le fou rire et l'orgasme sont similaires ? Ils procurent tous deux de la joie profonde, de la détente musculaire, la plénitude en toute simplicité. Hors contrôle, spontanés, terriblement bienfaisants. Besoin d'aucun artifice, qu'un corps et un esprit détendu. Les deux phénomènes génèrent pleins d'hormones de bien-être ! La sexualité c'est aussi le rire, le fou rire, la légèreté, la complicité contagieuse. Terriblement contagieuse oserais-je dire. L'esprit curieux, ouvert, léger, observez le cœur capable de se laisser surprendre par un « fou rire sexuel ». Qui sais, cela pourrait vous arriver aussi, à l'improviste évidemment. Le sujet est curieux, mais plein de bon sens, cohérent et magique quand on y pense. Avez-vous déjà entendu parler de la gelatologie… c'est une blague ! Mais bien la gelotologie. L'étude du rire et de ses effets sur le corps ! Voilà un super sujet qui pour les curieu.x.ses de la sexualité. Le podcast propose une brève réflexion sur le sujet. On vous souhaite une belle écoute.Au plaisir de lire ou d'écouter vos retours. Pour les plus curieu.x.se, je vous invite à lire l'article qui joint le podcast sur le site du LHC : https://love-health-center.org/podcast/Merci à The Podcast Factory Org asbl pour la création de cette chaine podcast absolument délicieuse.#PodiBUZ, la marque éditoriale de The Podcast Factory Org asbl-vzwLe partenaire de vos podcasts pro et privés.Séquençage du podcast : [00:00:20] Introduction[00:00:41] Sexualité et fou rire[00:01:29] Un fou rire après l'orgasme[00:02:43] Vibrations et plancher pelvien[00:05:19] Fou rire et détente du corps[00:05:49] Nerf vague et Chi Nei Tsang[00:06:51] Le fou rire est contagieux[00:07:10] Une sexualité plus légère[00:08:51] Émotions et mémoire du corps[00:10:36] Les effets hormonaux du rire[00:11:36] Un phénomène encore peu documenté[00:12:49] Le prochain épisode sur le plaisir prostatiqueQuelques idées : • Pratique de « Chi Nei Tsang » ou d'auto massage inspiré du « Chi Nei Tsang ». Un massage taoïste profond du ventre, issu de la médecine chinoise traditionnelle, qui vise à harmoniser l'énergie (Chi) des organes internes (Nei Tsang). En travaillant sur l'abdomen, considéré comme notre "deuxième cerveau", ce soin libère les tensions physiques, détoxifie le corps et débloque les émotions négatives accumulées. Œuvrer pour soi-même à relâcher, libérer les tensions dans tous les organes de votre ventre, prendre conscience de manière plus précise de votre ventre et ainsi les sensations en lien avec votre génital et votre énergie sexuelle.• Tel le Chi Nei Tsang, en conscience s'auto-masser en douceur délicate les organes internes par la respiration. A chaque inspire, apnée, expire, apnée…etc. Ecoutez notre podcast sur le sujet : https://love-health-center.org/podcast/sexualite-et-respiration-68/• Tonifier et prendre conscience de son propre plancher pelvien. Ecoutez entre autres notre podcast sur le sujet (en anglais, mais sous-titré en plusieurs langues sur Youtube): https://love-health-center.org/podcast/katalin-szupkay-the-pelvic-floor-eng-podcast-entr-nous/• Prendre soin de votre système parasympathique et nerf vague• Pratiquer le yoga du rire• Essayer le massage sonore : https://www.peter-hess-academy.be/Elucubration passionnée : les vibrations sonores dans le corpsElément non mentionné dans le podcast, mais implicite : qui dit son, rire dit aussi vibrations. Ces oscillations délicieuses qui parcourent notre corps de l'intérieur. Saviez-vous que le son se propage beaucoup plus vite dans la matière (eau, os) que dans l'air. Quand on a un fou rire, le son, les sonores et les vibrations mécaniques traversent le corps de toutes parts. Mais simplement aussi, quand on parle, les vibrations traversent le corps très rapidement. Nos cellules sont informées par une micro vibration interne bien plus vite que le monde extérieur via la propagation dans l'air. Imaginez, st si le son et la vibration inaudible qui l'accompagne rebondissait entre la "toile" du tambour du plancher pelvien jusqu'au sommet du crâne, faisant des aller-retours d'échos entre ces 2 "paraboles" de part et d'autre de la colonne vertébrale. Mais aussi jusqu'à la plante des pieds. Certes les tissus mous et les changements de milieux atténuent l'onde, mais elle est néanmoins là. D'autre part, le son et les ondes qui traversent notre corps de haut en bas et de bas en haut massent subtilement au passage les organes, tissus, cellules, liquides qui se trouvent entre ces 2 pôles.(dans l'air (à ~20 °C) le son se déplace à ~343 m/s alors que dans l'eau c'est environ 1480 m/s et encore plus vite dans les solides comme les os, possiblement jusqu'à 3000 - 5000 m/s. Les vibrations se propagent donc directement et très rapidement dans ton corps via les os, et l'os du crâne. C'est ce qu'on appelle la conduction osseuse. Alors, dommage que l'on n'a pas d'os pénien pour expérimenter d'autres curieuses sensations. C'est entre autre à cause de la conduction osseuse que ta voix te semble différente quand tu l'entends enregistrée. J'aime voir les choses et les expériences avec un regard neuf, curieux, apprenant. Certes, le son et les vibrations se propagent vites en faisant des échos, mais sans récepteur (conscient) à quoi bon ? Quoique nos champs subtiles y sont probablement sensibles. Clin d'œil slow sex, la vitesse et la conduction c'est une chose, mais la qualité du son, des mots, des énergies véhiculées en sont une autre ????.Elucubration passionnée : les 3 diaphragmes, plancher pelvien, pulmonaire, et …Connaissez-vous le diaphragme sellaire ? C'est une petite membrane horizontale formée par une extension de la dure-mère (la couche la plus externe des méninges) située dans une dépression osseuse du crâne appelée la selle turcique. Cette membrane recouvre partiellement une structure clé : l'hypophyse (glande pituitaire). Glande endocrine essentielle en sexualité. Ce diaphragme participe à la compartimentation des espaces contenant le liquide céphalorachidien. Ce liquide est pour moi intimement lié aux éveils des sensations sexuelles. Non excité ce liquide est probablement moins chargé en électrolytes, que lorsqu'on est excité sexuellement suffisamment longtemps, ce liquide (présent tout le long de la colonne vertébrale) reçoit possiblement une partie des secrétions hormonales de plaisir sexuelle rendant sa conductivité et ses propriétés physiologiques tout autre. Bref, on pourra en parler une autre fois. Concernant les vibrations, les vibrations de son, de fou rire, font certainement vibrer cette membrane au niveau du cerveau. Un champ d'exploration et de découverte possiblement intéressantes dans les décennies à venir, qui sait ? Quoi qu'il en soit, vive les fou rires. Car avant tout, c'est simple, puissant, délicieux et c'est déjà largement suffisant.Bon voyage aventuriers et aventurières de la vieLe rire peut être une raison supplémentaire pour développer une vie sexuelle encore plus épanouissante. Développer la légèreté, l'humour, l'espièglerie, le fun, le jeu, les moments délicieusement absurdes, le lâcher-prise, l'audace amusante… La sexualité ce n'est probablement pas être sérieu.x.se, dogmatique, coincé, triste ou mental, mais ce n'est qu'un point de vue dans un monde où la liberté revient à chacun.e d'être créateur de sa vie (et vie sexuelle). De là, bonne route à chacun.e. Vive le sourire aussi et tous ses magnifiques effets.On vous souhaite expansion, fou-rires et état d'orgasme. Connectez-vous à notre chaine de podcast si vous le souhaitez (ça nous aide à être visible de plus d'humain) et à votre sourire intérieur comme un lien intime et réel avec votre énergie sexuelle.

Der Release des großen Vulkan-DLCs für Anno 117 ist geplatzt! Ubisoft zog in allerletzter Sekunde die Notbremse, denn ein kritischer Bug drohte, unsere hunderte Stunden alten Savegames zu zerstören. Zusammen mit Strategie-Experte Writing Bull atmen wir kurz auf, denn die Verschiebung war die absolut richtige Entscheidung. Doch danach machen wir den großen Reality-Check ohne rosarote Brille: Wo steht Anno 117 knapp ein halbes Jahr nach Release wirklich? Wir diskutieren über Ubisofts kurioses Planungs-Chaos (Hallo, Heroes of Might & Magic!), den dringend nötigen Nerf des übermächtigen Passivhandels mit Update 1.5 und klären die wichtigste Frage: Ist das Aufbau-Epos jetzt endlich in dem Zustand, den wir uns gewünscht haben? Schnappt euch eure Toga, lehnt euch zurück und diskutiert mit: Seid ihr froh über die Notbremse oder einfach nur genervt vom Hin und Her? Alle Links zum GameStar Podcast und unseren Werbepartnern: https://linktr.ee/gamestarpodcast

A storm's a comin', and this one has teeth! That's right, blood is in the water as we tear into the latest shark flick on Netflix, THRASH!! We open the floodgates of questions about this new streaming title, like why would anyone aim to become a professional poker player and a DJ? Why doesn't anyone listen to weathermen anymore? Who learns to shoot with a NERF gun? And why does Netflix think you're stupid? All this, plus variable super-strength, swearing orphans, TNT problems, Bait 3D, missed opportunities, Djmon Hounsu worship, steak subterfuge, and so much more!! Join us for one more bite at Animal Attack April on Kill By Kill!!  NOTE: We experienced some mic interference with Gena's audio, which occasionally cut out. This is the best quality we could get for the time we had available. Our apologies.    Part of the BLEAV Network.Get even more episodes exclusively on Patreon! Join Patrick's new newsletter SCREAM SHARE for weekly new/classic/and free to watch streaming horror picks, and join him for a virtual watch party on the 3rd Friday of every month!! Artwork by Josh Hollis: joshhollis.com Kill By Kill theme by Revenge Body. For the full-length version and more great music, head to revengebodymemphis.bandcamp.com today!Join the new Discord Server Convo here! Our linker.ee Click here to visit our Dashery/TeePublic shop for killer merch! Join the conversation about any episode on the Facebook Group! Follow us on IG @killbykillpodcast!! Join us on Threads or even Bluesky Check out Gena's newsletter on Ghost!! Check out the films we've covered & what might come soon on Letterboxd! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Avec : Benjamin Amar, prof d'histoire-géo. Juliette Briens, journaliste à l'Incorrect. Et Yael Mellul, ancienne avocate. - Accompagnée de Victor Pourcher et sa bande, Estelle Denis s'invite à la table des français pour traiter des sujets qui font leur quotidien. Société, conso, actualité, débats, coup de gueule, coups de cœurs… En simultané sur RMC Story.

Send us Fan Mail “Before fancy gyms, before TikTok trick shots—there was a plastic hoop hanging on a bedroom door and a foam ball that made you feel like Michael Jordan. In this episode, we're throwing it back to the 80s when Nerf basketball ruled the house. We're talking buzzer-beaters over the bed, dunk contests that ended in broken lamps, and the unwritten rules of ‘don't wake your parents.' Every kid thought they were one game away from the NBA—meanwhile, Mom's yelling about the dent in the wall. Crack a drink and relive the glory days when the court was your bedroom, the crowd was imaginary, and missing a shot? Not an option.” https://www.youtube.com/@onedrinkpodcast

New pod is out! We talk solid ties at a spring wedding, Derby looks for betting on a horse race, and the fantasy forward stylings of the Renaissance Pleasure Faire and making your vintage menswear work for LARPing with swords and Nerf blasters. The biggest discussion is our review of Esquire's Big Black Book Style Manual from F/W 2009 and S/S 2011. With its classic styling and expressive writing, it's quite surprising that this is from that infamous aughts period. Overall, it's quite different from what you can read from the magazine today— and most contemporary menswear media in general! 0:00 - Dressing for the Derby at Santa Anita Racetrack 20:40 - Wedding Stuff 28:16 - Esquire's Big Black Book 1:02:20 - Nerf and Ren Faire Ethan's Blog: https://alittlebitofrest.com/2026/04/19/larp-ing-around-at-nerf-the-horse-races-the-renaissance-faire/ https://alittlebitofrest.com/2026/04/19/esquires-big-black-book-f-w-2009-s-s-2011-is-suprisingly-okay/ Support us on Patreon and join the Discord: https://www.patreon.com/styleanddirection/ Follow us on Instagram! www.instagram.com/styleanddirection/ Podcast is produced by MJ

For all those who missed out on London, see you in Miami next week!Notion, the knowledge work decacorn, has been building AI tooling since before ChatGPT, with many hits from Q&A in 2023 and unified AI in 2024 and Meeting Notes in 2025. At the end of their last Make user conference, Ryan Nystrom teased Notion 3.0's Custom Agents - and they are finally embracing the Agent Lab playbook!Sarah Sachs and Simon Last of Notion join us for a deep dive into how Notion built Custom Agents, why it took years and multiple rebuilds to get right, and what it means to turn a productivity tool into an agent-native system of record for enterprise work.We go inside the product, engineering, evals, pricing, and org design decisions behind one of the most ambitious AI product efforts in software today — from early failed tool-calling experiments in 2022 to agent harnesses, progressive tool disclosure, meeting notes as data capture, and the long-term vision for software factories and agentic work.We discuss:* Sarah and Simon's path to launching Notion Custom Agents, and why the feature was rebuilt four or five times before it was ready for production* Why early agent attempts failed: no tool-calling standard, short context windows, unreliable models, and too much complexity exposed to the model* The “Agent Lab” thesis: not just wrapping a model, but understanding how people collaborate and building the right product system around frontier capabilities* How Notion thinks about roadmap timing: not swimming upstream against model limitations, but also building early enough that the product is ready when the models are* Why coding agents feel like the kernel of AGI, and how Notion is thinking about “software factories” made up of agents that spec, code, test, debug, review, and maintain codebases together* How Sarah runs AI engineering at Notion (“notes from Token Town”): objective-setting over idea ownership, low-ego teams comfortable deleting their own work, and a culture designed to swarm around fast-changing opportunities* The “Simon Vortex,” company hackathons, and why security gets pulled in early rather than late* How Notion organizes AI: core AI capabilities and infrastructure, product packaging teams, and a broader company mandate that every product surface must increasingly work for both humans and agents* Why prototypes have become much easier to build internally, and how “demos over memos” changes product development inside a tool the whole company already uses every day* Notion's eval philosophy: regression tests, launch-quality evals, and “frontier/headroom” evals that intentionally only pass ~30% of the time so the company can see where model capabilities are going* What a “Model Behavior Engineer” is, and why Notion treats eval writing, failure analysis, and model understanding as a distinct function rather than just software engineering* The changing role of software engineers in the age of coding agents, and why the new job looks less like typing code and more like supervising a rigorous outer system of agents, PRs, and verification loops* How the “software factory” should work: specs, self-verification, bug flows, subagents, and minimizing human intervention while preserving the invariants that matter* A live walkthrough of a Notion Custom Agent handling coworking space tenant applications by triaging email, enriching applicants with web search, and writing structured data into a Notion database* How agents compose inside Notion: shared databases as primitives, agents invoking other agents, “manager agents” supervising dozens of specialized agents, and memory implemented simply as pages and databases* Notion's take on MCP vs CLI: why Simon is bullish on CLI's self-debugging nature, where MCP still makes sense, and how Sarah thinks about capability, determinism, permissioning, and pricing alignment* The evolution of Notion's internal agent harness: from early JavaScript coding agents, to custom XML, to Markdown and SQL-like abstractions, to tool definitions, progressive disclosure, and a much shorter system prompt* Why Notion cares about teaching “the top of the class,” building for sophisticated operators rather than abstracting away too much capability for everyone* How agent setup works today: agents that can configure themselves, inspect their own failures, and edit their own instructions — with guardrails around permissions* How Notion prices Custom Agents: credits as an abstraction over tokens, model type, serving tier, web search, and future sandbox costs; why usage-based pricing was necessary; and how “auto” tries to match the right model to the right task* Why Notion is not eager to train a foundation model, where they do fine-tune and optimize today, and why retrieval/ranking is one of the most important investment areas as more searches come from agents rather than humans* Why Meeting Notes became one of Notion's strongest growth loops: not just as transcription, but as high-signal data capture that powers search, custom agents, follow-up workflows, and the broader system of record for company collaboration* Why Notion is more interested in being the place where collaboration data lives than in building hardware themselves — and how wearables or other capture devices may eventually feed into that systemSarah SachsLinkedIn: https://www.linkedin.com/in/sarahmsachsX: https://x.com/sarahmsachsSimon LastLinkedIn: https://www.linkedin.com/in/simon-last-41404140X: https://x.com/simonlastFull Video EpisodeTimestamps* 00:00:00 Introduction and launching Notion Custom Agents* 00:01:17 Why Notion rebuilt agents four or five times* 00:03:35 Building for where models are going, not just where they are* 00:05:32 The Agent Lab thesis, wrappers, and product intuition* 00:08:07 User journeys, leadership, and low-ego AI teams* 00:13:16 The Simon Vortex, hackathons, and bringing security in early* 00:16:39 Team structure, demos over memos, and building for agents* 00:20:25 Evals, Notion's Last Exam, and the Model Behavior Engineer role* 00:27:37 Evals as an agent harness and the changing role of software engineers* 00:30:42 The software factory: specs, verification, and agent workflows* 00:32:18 Live demo: a custom agent for coworking space applications* 00:35:08 Composing agents, manager agents, and memory as pages* 00:38:15 Notion Mail, Gmail, native integrations, and tools* 00:39:43 MCP vs CLI and the cost of capability* 00:44:13 When Notion uses MCP vs building its own integrations* 00:47:43 The history of Notion's agent harness rebuilds* 00:55:35 Power users, public tools, and the setup agent* 00:58:01 Self-fixing agents, permissions, and “flippy”* 01:01:13 Pricing, credits, and choosing the right model automatically* 01:09:01 Why Notion isn't training its own frontier model* 01:14:07 Retrieval, ranking, and search built for agents* 01:17:27 Meeting Notes as data capture and workflow automation* 01:21:18 Wearables, hardware, and Notion as the system of record* 01:23:45 OutroTranscript[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast. This is Alessio founder of Kernel Labs and I'm joined by swyx, editor of the Latent Space.[00:00:11] swyx: Hello. Hello. We're back in the beautiful studio that, uh, Alessio has set up for us with Simon and Sarah from Notion. Welcome.[00:00:18] Sarah Sachs: Thanks for having us.[00:00:19] Alessio: Thanks for having us. Yeah.[00:00:20] swyx: Congrats on the launch recently the custom agents, finally it's here. How's it feel?[00:00:26] Sarah Sachs: We ship things slowly. So it had been in Alpha for a little bit and at the point at which is it's an alpha, um, there's a group of people that are making sure it's ready for prod, and then there's a group of people working on the next thing.So sometimes some of these launches are a bit delayed satisfaction, so it's quite nice to remind yourself all the work you did because we do have a habit of like. Being two or three milestones ahead. Uh, just ‘cause you have to be, you know, you can't get complacent. Um, but it's been great that people understood how this is helpful.And I think that's just easier in general building AI tools today than it was two, three years ago. People kind of get it and so that user education, um, there's just, it was our most successful launch in terms of free trials and converting people and things like that. It was really successful, so yeah.But there's a lot to build.[00:01:12] swyx: Making it free for three months helps.[00:01:16] Sarah Sachs: Yep.[00:01:17] Simon Last: It was definitely super exciting for me because it's probably the fourth or fifth time that we rebuilt that.[00:01:22] swyx: Yes.[00:01:23] Simon Last: And I mean,[00:01:24] swyx: you've been building this since like 20, 22.[00:01:26] Simon Last: Yeah, I mean, like, it was even right when we got access to like GPT four in late 20 22, 1 of the first ideas we had is like, oh, okay, let's make an agent that I, we used the word assistant at the time, there wasn't really the word, the word agent yet, but, oh, we'll give an access to all the tools the notion can do, and then it, we run in the background like, like do work for us.And then we just tried that many times and it just. Was too early. Um,[00:01:48] swyx: I need to force you to like double click on that. What is too early? What didn't work?[00:01:52] Sarah Sachs: We were fine to, like, before function calling came out. We were trying to fine tune with the Frontier Labs and with fireworks, like a function calling model on notion functions.This is right when I joined. I joined because, um, we needed a manager as Simon was needed to be able to go on vacation. So, uh, that's, that's around when I joined, so you can speak much more to it.[00:02:11] Simon Last: Yeah, we did partnerships with both philanthropic and open AI at different times, uh, to try to, at the time the, I mean, when we first tried, there wasn't even a constant of like tools yet.We, we sort of designed our own like, like tool calling framework and then we tried to fine tune the models to, uh, to use it over multiple turns. Um, and because it, it didn't work well out the box, I think. Yeah. The models are just too dumb and the context thing was also way too short.[00:02:37] Alsesio: Yeah.[00:02:37] Simon Last: Um, and yeah, we just kind of banged our head against it for a long time.Uh, unfortunately it was always like, there was always like sort of. Glimmers that it was working, but um, it never felt quite robust enough to be like a useful, delightful thing. Um, until I would say, uh, the big unlock was probably like Sonic 3.6 or seven, uh, early last year. And that's when we started working on our agent, which we shipped last year.Um, and then, and then uh, uh, custom agents, kinda a similar capability and that, that one just took longer because we, we just wanted to get the reliability up a lot higher. ‘cause it's actually running in the background.[00:03:14] Sarah Sachs: And the product interface of like permissions and understanding, you know, this custom agent is shared in a Slack channel with X group of people and has access to documents that are surfaced to Y group of people.And the intersect experts, Y might not be whole. And so how do you build the product around making sure administrators understand that permissioning took multiple swings.[00:03:35] Alsesio: Everything is hard back at the end of the day. Yeah. I'm curious, like when the models are not working, how do you inform the product roadmap of like, okay, we should probably build, expecting the models to be better at some reasonable pace, but at the same time we need to, you know, you had a lot of customers in 2022.It's not like you were a new company or like no user base.[00:03:54] Simon Last: Yeah, I mean I think there's always the balance of, you know, like you want to be a GI pilled and thinking ahead and building for where things are going. Uh, but also you wanna be like shipping useful things. And so we always try to like, like keep a balance there.You know, we. We try to take clear, like a portfolio approach. You know, we're always working on multiple projects and, and we're always trying to work on, you know, maintaining things where that have already shipped, like, like shipping new things that are like eminently working well and make them really good.And, and then we wanna always have a few projects that are a little bit crazy. Um,[00:04:23] Alsesio: and what are the a GI peel projects that you have today? I'm curious about, uh, you don't have to share exactly what you're working on, but I'm curious what are things today that maybe in 18 months people will be like, oh, obviously this was gonna work[00:04:35] Sarah Sachs: 18 months.[00:04:37] Alsesio: Yeah, 18 months is, you know,[00:04:37] Sarah Sachs: it's a long time and Yeah. Yeah.[00:04:39] Simon Last: I mean, there's a number of things happening. I think one thing that's becoming more clear is I think like, like, uh, coding agents are the kernel of EGI, sort of, everything is a coding agent. Mm-hmm. I think that's, that's sort of one, one direction.Um, and then, yeah, the exciting thing about that is sort of your agent can sort of bootstrap its own software and capabilities and actually debug and maintain them. And so yeah, we're, we're, we're thinking a lot about that. And then, yeah, like, like another category of things that I'm, I'm really excited about is like, uh, we call the software factory also.People are using this, uh, this, this sort of word. Um, basically it just means can you create sort of like a, as automated as possible, a workflow for developing debugging. Mm-hmm. Merging, reviewing, and maintaining a code base and a service where there's a bunch of agents working together inside, and like, like how does that work?[00:05:28] Sarah Sachs: If you think back to your initial question, like, why did this take so long? I think something,[00:05:32] swyx: I didn't say that, but Yes. Okay. Go ahead.[00:05:34] Sarah Sachs: Why, what, what changed over the three and half years of trying[00:05:37] swyx: it? Exactly. Right. Because most people always say like, it didn't work yet. Then reasoning models came, then it worked.I was like, okay, let's go a little[00:05:43] Sarah Sachs: bit. That's, I mean, that's part of it, but I think the other part of it that I actually think is really what will set notion apart for every new capability is we have like. Two skills that are crucial when it comes to frontier capabilities. One is not letting yourself swim upstream.So like quickly realizing if you're just pressing against model capabilities versus not exposing the model to the right information, not having the right infrastructure set up. That and of itself is the skill of intuition. And the second is to see, okay, you're not swimming upstream. Which direction is the river flowing and what is like, how do we think ahead about the product and start building it even if it's not great yet, so that when it is there, we're ready for it.Right? And like those can sometimes feel like counterintuitive things. Like we can be trying to fine tune a tool calling model when they don't exist yet. And that the trick is to not do that for too long, but realize that there was something there. And we've had a lot of things which like, um, we're just like not swimming in the right direction with the streams.I think we had multiple versions of transcription before we got meeting notes, right? Oh, I gotta talk[00:06:39] swyx: about that. Yeah.[00:06:40] Sarah Sachs: Yeah. Um, and so. I, I, I think that like we, we really closely partner with the Frontier Labs on capabilities and we also have to have strong conviction on, as those capabilities move.Notion is about being the best place for you to collaborate and do your work. And how does that narrative change if the way that we work changes?Yeah.[00:06:58] swyx: Yeah. You told me you were a fan of the Agent Lab thesis, and this is, this is kind of it, right?[00:07:02] Sarah Sachs: Right. I show that thesis to so many candidates. Like I have it as like micro chrome autofill.Um, at this point, like it's one of my most visitations[00:07:10] swyx: because like, is this the, here's why you should work in notion and not open, open eye. I, it's like,[00:07:14] Sarah Sachs: here's, here's what's different about it.[00:07:16] swyx: Yeah.[00:07:16] Sarah Sachs: And here's why. It's not just a rapper. I actually think more and more people understand it's not just a wrapper.[00:07:21] swyx: Yeah.[00:07:22] Sarah Sachs: Um, and by the way, like in the beginning, parts of what we build are wrappers on functionality. That works well, of course, but that's not really the most, um. I would say that's not the product that, that drives revenue. And that's not necessarily always what users need.[00:07:35] swyx: I mean, you know, notion is the AWS wrapper, but like the, the wrapper is very beautiful and like very, very well polished.So[00:07:40] Sarah Sachs: like the analogy,[00:07:41] swyx: like[00:07:42] Sarah Sachs: the analogy that I've been coming back to his Datadog in AWS[00:07:45] swyx: Yeah.[00:07:46] Sarah Sachs: So, uh, Datadog could not exist with, without cloud storage. Right. That it's kind of fundamental that that works. Um, and AWS has like a CloudWatch product, but Datadog is an expert on understanding how people want observability on the products they launch.And we're experts in understanding how people wanna collaborate, and that's really where our expertise lies.[00:08:04] swyx: Totally.[00:08:04] Sarah Sachs: Um, regardless of the tools that we use,[00:08:07] Alsesio: I'm kind of curious how you think about implicit versus explicit expertise. I feel like Datadog is half and half implicit and explicit. It's like they understand across markets and industries what engineering teams usually look for.With notion, it's almost like more of the expertise is at the edge because you as a platform, you're like so horizontal that the end user is not really the same. Mm-hmm. Like with Datadog, the end user is always like, yeah, an engineering lead, a kinda like SRE related person with notion. It can be anything.So I'm curious how you put that expertise into a product versus, you know, obviously it, WS cannot build notion. It's, that doesn't quite work in this case, but[00:08:44] Simon Last: it's, it's a little bit differently shaped. I think, you know, a classic vertical SaaS, like the data is kind of like that. They understand their individual customer very deeply.It's kinda a narrow slice, um, notion has always been super horizontal. And our, our task has always been to sort of balance these two somewhat opposing forces of like, we're listening to our customers and what they want us to build. It's a broad slice. And then also we're thinking about like, okay, how do we decompose what they want into, uh, nice primitives that are, that are really nice to use and we'll, we'll get us like as much bang for the buck as possible.And then, you know. Maintain the whole system, make it all like, like super clean and nice to use.[00:09:22] Sarah Sachs: We still have user journeys. I mean, we still focus on like core. I actually think the failure of our team is when we focus too much on what are cools that are, what are tools that are[00:09:31] Simon Last: mm-hmm.[00:09:31] Sarah Sachs: Cool tools. I actually think that's when we make have the least velocity because you still need some sort of focus on a user journey.So like for instance, we'll all sit down every Friday and look at the P 99 of like the most token exhaustive custom agent transcript and just look at why it didn't do well and cut a bunch of tasks. Like we still focus on like, this has, like this should work. Email triaging should work. Mm-hmm. Right. And similarly, like when we're talking about before building, um, chatting, um, before we started filming about, okay, how can I do PDF export?Well that's functionality that then merits. Maybe we should build a tool that has access to a computer sandbox in a file system and the ability to write code. Right? Right. Um, but it's because we're thinking about the fact that our users to do their, to do their daily work, need to export PDFs, not because we're like, Hmm, I think a computer tool could be cool.Like, let's just see what happens. Mm-hmm. Like we, we have to focus on some user journeys, otherwise we just don't have like, enough strategy to, to prioritize.[00:10:29] swyx: I think there's a lot of like really strong opinions that you've had. Do you have like sort of like a towel of Sarah Sachs? Like, you know, like what, how do you run your team?Like I feel like you just have accumulated all these strong opinions. Obviously part, part of this is your, your token town thing.[00:10:43] Sarah Sachs: I think the TAs working with Service X is, um, you'd have to, it depends who you ask. Um, I think it depends if you're on my team or a partner Right. Or a vendor.[00:10:54] swyx: Yeah. There other people want to run their teams the way that you're Yeah.You're like bringing these things. And then also similarly, uh, Simon, when you did the custom agents demo, you had like, well, we've been using custom agents and here's the super long list of everything that we do. No humans ever read it. Right? That's what you said. I was like,[00:11:07] Sarah Sachs: yeah. So I think for, for me, um, something that I learned very quickly and became very comfortable with was that my job was not to be the ideas per person or the technical expert.My job was to make it so that everybody understood the objective, had a resource to help prioritize what they should work on, and had an avenue to prioritize what they thought was important. And I think that's true with all, all leadership, but I think especially on the AI team. Almost all of our best ideas come from prototypes, from people that have a cool idea because they saw a user problem, and it's a huge disservice if all of those ideas have to pass, like the sniff test of what me and a product partner or Simon and Ivan decided were the direction, right?Because a lot of what we're doing is leaning into capabilities, so. I think that's the first thing is like, I don't really view like the role of engineering leadership as like, uh, hierarchical, nor has it ever been, but especially now, like very willing to change direction based on, um, like proof is in the pudding.Yeah. And like, and I think we have rebuilt our harness three or four times. And when you do that, then the second rule of engineering leadership is like you need to build a team that's comfortable deleting their own code and is very low ego and is driven by what's best for the company. And, um, doesn't write design docs because they think it's their promotion packet.Right. And that's a culture that notion had long before I joined, but like our willingness to just swarm on different problems and um, redo things that we've built before because something has changed. Like, there's a lot of friction that can happen at companies when you do that. And it doesn't happen at Notion.And because it doesn't happen when new people join. Like they don't wanna be the ones that are saying, we shouldn't do this. I wrote that code. So then it's, you know, you, you create a culture that everyone thoughts and that culture comes directly, I think from Simon and Ivan though, um, because they're very open-minded.[00:12:50] swyx: Anything that you,[00:12:50] Simon Last: you'd add? I'm not a manager, like, like, like Sarah is. Um, a lot of my role is really to try to think a little bit ahead, make sure that we're, we're building on the right capabilities and then like the prototyping stuff. And yeah, it's really, really critical to always just be starting again.It's like, okay, this is new thing. What does this mean? What if we just rethought everything or wrote everything? And so I, I'm, I'm basically just doing that in a loop every six months.[00:13:16] swyx: Yeah. Do you believe in internal hackathons for this stuff?[00:13:19] Sarah Sachs: I think there's like two different versions. So one is like, we just have a, a, a solid bench of senior engineers that come and go on what we call the Simon Vortex and Productionizing what we built, right?Because when you're in the Simon Vortex, the velocity is super high. The direction changes daily, and it's meant to be like the equivalent of a SC Works lab. We don't need to do hackathons for that. We need to have senior engineers that we trust to come in and out of those projects. For instance, like management boundaries are really loose.Like you report to him, but you work for her right now. Yeah. That's something that when we hire managers, it's important they don't care about because we tend to form more structures. Yeah. Don't be too[00:13:54] swyx: territorial.[00:13:55] Sarah Sachs: We form more. It's after we ship things, not not before, just historically. Um, the second thing is we do have companywide hackathons.Actually we just had our demos day for the hackathon we had last week this morning. That's more for people that aren't directly working on the project, feeling like they have the time to pause and learn how to make themselves more productive or how they would use notion custom agents to build something.Or part of the hackathon was actually encouraging everyone across the company to build their own agentic tool loop, calling from scratch. Follow like an every blog post on how to do what I think because we want[00:14:26] swyx: just with the compound engineering one. Yeah.[00:14:28] Sarah Sachs: We want everyone to use cloud code in the company or whatever the coding agent they please and understand that fundamental.So we set aside a day and a half. We're all leadership, encourage everyone on their teams across the company to do it. So we have hackathons like that. I would say like kind of facetiously, like everything we build is a little bit like a hackathon until it graduates and puts on big boy pants and as a product ops rollout leader and has a assigned data scientists and stuff like that,[00:14:54] swyx: security review enterprise stuff,[00:14:56] Sarah Sachs: actually security reviews one of the things that we bring in first because it just slows us down way more and, um, causes a lot of tension and they build better product if they're involved early.So, um, that is probably the first person to get involved in something that's the[00:15:09] swyx: right PR approved answer.[00:15:10] Sarah Sachs: No, but it's not just PR approved. It like, um, um, it's[00:15:13] swyx: actually real. It's actually real. It's like, um, I'm just saying scar[00:15:15] Sarah Sachs: tissue.[00:15:15] swyx: Yeah,[00:15:16] Sarah Sachs: because like, you know, my background's also, I worked at Robinhood for a number of years.Yes. So like, uh, compliance and things like that, um, are a little bit more, you learn the hard way when it doesn't come naturally.[00:15:26] Simon Last: Yeah. I think the. The hackathon is really important for uplifting the general population, but like, if that's the only way you can build new things, you're kind of toast. I mean, it, it has to be like the daily processes, like, you know, building these new things.Um, and it has to be about, I think like, I think in the AI era a lot more leverage accumulates to the most curious and excited people. And so it's like we're all about just like activating that energy. You know, like if someone's protesting something on the weekend that they're excited about and it's important, that should be the main thing that we're doing.Yeah. Um, it's not a hackathon that we schedule once a quarter, it's just like, yeah. Daily process. Part of the culture.[00:16:02] Sarah Sachs: I mean, that's how we shift image generation and notion now. It was always this thing that would be kind of nice to have, but it wasn't really clear where that was necessarily aligned in product priorities.It'd be a lot of work. And we had someone on the database collections team, Jimmy, who was like. I really wanna do image generation for cover photos and inside notion. And we're like, if you wanna build it, like it's, do it please. Like we encourage you. We gave ‘em all the resources of working directly with Gemini and being able to like track the token usage and it working through endpoints.We gave them eval, support, everything, and then became a, a full project.[00:16:34] Alsesio: Yeah.[00:16:35] Sarah Sachs: That's why you can't have like ego as a, a leader. Like that's, that's how we work.[00:16:39] Alsesio: What's the size of the team today, both engineering and overall?[00:16:43] Sarah Sachs: I manage, uh, the team. That's what we'll call it. Core AI capabilities and infrastructure.That's about 50 people. But then we have per i partner teams that do packaging. So how it shows up in the corner chat versus custom agents versus meeting notes, that's another 30, 40 people. And, and then every team that has a product service at Notion that a user can interface with owns the tool that the agent interfaces with the editor team.The team that did CRDT for offline mode is the same team that handles how two agents, um, edit competing blocks. Mm-hmm. Right? It's the same problem. The team that built the underlying SQL engine is the same team that owns how the agent asks it to run a SQL query, and it does it performantly. And so from that regard, anyone working on product engineering is tasked with making them work for customers that are humans and agents because over time the majority of our traffic will be coming from agencies using in our interface, not humans.And so. Our objective is to make it so that the whole product org is building for agents.[00:17:40] Alsesio: Yeah. How has it changed internally? The activation bar is kind of lowered a lot. Like anybody can kind of create a prototype very, somewhat easily, especially if you're like an existing code base. Have you raised the bar on like what type of prototype people need to bring forward to gonna be taken?Not like seriously, but like, you know what I[00:17:58] Simon Last: mean? Yeah. I think the bar is lowered in many ways. Be like, one thing our, uh, our team built that is really cool is our, uh, our, our design team made a whole separate GitHub repo, uh, called the, the design Playground. And it's basically just to create a bunch of like, like helper components and you, uh, for, for quickly a throwing together UIs.And it's become like actually quite sophisticated. Like it has like an agent in there and like, uh, that's pretty fun. So like, we pretty much, like, they don't do mocks, they just make like, like full, full prototypes.[00:18:27] swyx: Here it is. It works.[00:18:28] Simon Last: They give you like a u rl. They're like, okay, all right. So we have to make the, like the real production version of that.Um, and then for engineers. A prototype looks like just making it a feature flag that actually works. Like that's sort of the bar.[00:18:39] Sarah Sachs: Something to understand that's really unique about notion. One of the reasons I joined we're super lucky is no one uses Notion in their job as much as people that work at Notion.[00:18:46] Simon Last: Of course.[00:18:47] Sarah Sachs: So I think there's very few companies, maybe if you worked on Chrome I guess, but like everything that we ship, we ship internally first and get a lot of really quick feedback. And also sometimes our dev instance is totally borked and you have to change a bunch of flags to get things done. And that's kind of like, but everyone, so people that do it ticketing, people that do supply chain procurement, recruiting, everyone is using the same instance of notion with like a lot of flags on for these prototypes people build.Um, and so we have this, Brian Levin, one of the designers on our team, I think evangelize this concept of demos over memos.[00:19:18] swyx: Ooh, too[00:19:20] Sarah Sachs: good. Um, which has been, uh, very good for building demos, and I think it's put a big pressure point on us to have really strong product conviction, because if anything can be demoed, you really need a strong filter of making sure that if you know, you're doing X amount of work, you're making the, you're, you're focusing on one tower, you're not just building a really flat hill.Right. That's actually where I think there has to be more conviction from our PMs, um, and our designers and, and well, the company really to have conviction of what journey we're going on.[00:19:52] Simon Last: But overall, I feel like it works pretty well. Like people, almost all the engineers have good enough taste to realize that like, this prototype doesn't actually make sense in the product, or, or it does.So it's not that common that I would see a prototype. It's like, oh, this makes no sense. Mm-hmm. It's like, you know, people are doing reasonable things and, and, and then it's just a matter of. Which things we build first and then often just, just figuring out how to turn it on and off. There's our, in the, in our like experimental chat ui, there's this, there's probably like, like a hundred check boxes in there.[00:20:22] Sarah Sachs: Kills me[00:20:23] Simon Last: the things you could turn on and off.[00:20:25] Sarah Sachs: Uh, but I think that, okay, so that is kind of true, Simon, but like being the person that manages the evals team, like there is a level of intensity that it adds to the platform team. So, you know, if we're gonna do image generation and notion, all of a sudden the way that we do attachments and the way that we, um, our LLM completion like cortex talks and expects tokens back and now it's getting images back.Like there's a lot of platform work that we do need to, like solidify a little bit. So sometimes it'll be in dev for a couple weeks before it makes it to prod just because we still have to like, make it robust, make it HIPAA compliant, ZDR compliant, figure out the right contracting with the vendor, whatever it is.And we need to eval it because we want the team. To still maintain what they build. That's the one thing is like if we have a bunch of prototypes, it can't just be like a small group of people that then maintain whatever end prototypes. So we have invested a lot of people in an eval and model behavior understanding teams that, we call it agent dev velocity.So your dev velocity building agents can be faster if we invest in that platform. And so we have a whole org dedicated to Asian, um, platform velocity so that you can build your own eval and then maintain it once you ship it. So if a new model release comes out and we, every[00:21:38] swyx: team maintains their own eval,[00:21:40] Sarah Sachs: we maintain the eval framework.Every team owns their own evals and a lot of them we've integrated to Optin, to ci, or we run them nightly and we have a team, uh, a custom agent that triggers to a team to look at the major failures. That's really critical because if we have like all these different surfaces now, a lot of it's on the same agent harness, so it's easier to maintain.It's just packaging of different agent harnesses, but new functionality of the agent. Let's say that like we wanna update like. Uh, you know, they deprecated, sonnet, um, four or whatever it is and we need to auto update. Are[00:22:11] swyx: they already? That's so, okay. Yeah. Actually wasn't that long ago.[00:22:14] Alsesio: Theywere[00:22:14] Alsesio: just 3.5.[00:22:15] Sarah Sachs: 3.537. Just got deprecated.[00:22:18] swyx: 3 7, 5 0.2 or, yeah. No,[00:22:20] Sarah Sachs: it's not. 5.2 is five point. Five point no. Yeah, five four is 40% more expensive than five two. So if they deprecated five two, you would hear they can, you would hear from me about that one. Um, but, uh, another conversation to have.[00:22:35] swyx: I have a cheeky evals question for you.Have you noticed any secret degradation from any of the major model providers?[00:22:40] Sarah Sachs: Secret degradation,[00:22:42] swyx: like. During the War Bay, when it's high traffic, it suddenly gets dumber.[00:22:47] Sarah Sachs: Yeah. I mean, not just between the, I mean, we definitely notice flakiness, we've definitely noticed, particularly for some providers, that things are slower during working hours and[00:22:57] swyx: there's a latency argument.Yes. Not a quality argument.[00:22:59] Sarah Sachs: No. I think the quality difference that's interesting is, um, even though companies that say they're selling the same, a, it's really into like quanti quantization, but like companies that say they're selling the same model through different vendors, whether it be through first party or Bedrock, Azure, et cetera.We do see different qualities sometimes, and that's not necessarily what's advertised.[00:23:21] swyx: Yeah. Kidney went to the point of like, if we, they shipped like this, like eval across all the providers and it was like very obvious we were secret equalizing and it was very,[00:23:28] Sarah Sachs: yeah. But[00:23:29] swyx: that's very embarrassing.[00:23:30] Sarah Sachs: You know, um, we hire Subprocess to figure that out for us.So we just wanna understand where it's regressing or where it's optimized. And sometimes we're okay with regressions that optimize latency if they're the appropriate regressions. Our job is to make sure we have the evals to understand the changes that are important to us. And even like when we're partnering with labs on pre-releasees of models, they'll send us multiple snapshots.And this is less about quantization, but more just regressions. Like they have shipped models that were not the snapshots that we wanted, and they have changed the snapshots that they shipped based on the feedback that we give. Because our feedback tends to be more enterprise work focused and not coding agent focused.And definitely those can be bummers, like, you know, uh, we know that this wasn't the version you wanted, but we'll help you make it work. I mean, we always make it work, but that definitely happens.[00:24:16] Alsesio: Yeah. Do you have, um, failing evals that you're just hoping, oh, that will have success eventually when a good model comes out?[00:24:23] Sarah Sachs: Uh, I mean, yeah. So I think. I mean, I could talk about this for 60 minutes, so I will limit myself. I think it's a real issue when people say evals and it's just like, that's quality, that's like unit, I mean, it's like saying testing. It's not just unit tests, right? So. We have the equivalent of unit test.Regression test. Those live in ci, those have to pass a certain percent, you know, within some stochastic error rate. Then we have, as you're building a product, evals of these aren't passing right now, and this is launch quality. So we have a report card and we need to, on these categories, you know, be it 80 or 90% of all of these user journeys to launch, and then what we have what we call frontier or headroom evals, where we actively wanna be at 30% pass rate.And that's actually been a effort that we took in partnership with philanthropic and OpenAI in the past maybe two or three months, because we actually hit a point where our evals were saturated and we weren't able to really give insightful feedback other than it wasn't worse. And not only is that not helpful for our partners, it's not helpful for us to understand where the stream is going.You know, going back to that analogy. And so we spent a lot of time thinking about. What notions last exam looks like, right? Mm-hmm. Not just humanities, last exam. Ooh, notions last exam. Mm-hmm. And, um, there's a lot of, you know, dreams about what that would look like. I know we've talked a lot about benchmarking, um, swix, but, uh, yeah.Notions last exam is a big thing inside the company and we have people, full-time staff to it exclusively. Mm. We have a data scientist, a model behavior engineer, and an full-time, um, evals engineer just dedicated to the evals that we pass 30% of the time.[00:25:56] swyx: What you're hiring for[00:25:57] Sarah Sachs: MBEs? I am hiring[00:25:58] swyx: What is an MBEA[00:25:59] Sarah Sachs: model?Behavior Engineer Model. Behavior engineers started with a title data specialist before I joined when they were working with Simon on like, uh, Google Sheets and like Simon just needed someone to look through Google Sheets and say, yes, no, this looks bad. This looks good. Right? And so we hired people with kind of diverse linguistics background.We had like a linguistics PhD dropout. Mm-hmm. And a Stanford ate new grad. And they're amazing. And they formed a new function basically. And over time we've built a whole team, um, with a manager who's now kind of reinventing what that role is with coding agents. So they used to be kind of manually inspecting code.Now they're primarily building agents that can write evals for themselves or LLM judges. There's a really funny day I can send you the picture where Simon, about a year and a half ago, was teaching them how to use GitHub. Um, and they're on the whiteboard and it was like, okay, I think it would be so much faster if our data specialists learned how to use GitHub and like learned how to commit these things in Dakota.And, and that was then and now I think, you know, coding has been a lot more accessible. Um, but moving forward it's this mix of like data scientist PM and prompt engineer because there's craft in understanding like even like what models can and can't do things. How do we define like that headroom? How do we define like what a good journey is?Um, is this model better or not? Why is this failing? There's some qualitative work, but then there's also like a lot of instinct and taste to it, and that's not necessarily software engineering. And so we have like very firm conviction and we have had for a number of years now that that is its own career path and we have always welcomed the misfits, so to speak.So we really firmly believe that you don't need an engineering background to be the best at this job. And that's what's quite unique about this particular role.[00:27:37] Simon Last: Yeah, this is something that I've been pretty excited about recently is we made an effort basically to treat the eval system as like an agent harness.So if you think about it, like, you know, you should be able to have an agent end-to-end, download a dataset, run an eval, iterate on a failure, debug, and, and then implement a fix. And ultimately you should be able to, you know, drive the full time process with a human sort of observing the, you know, the outer uh, system.So yeah, we went, went pretty hard on that. And that's, that's worked extremely well so far. It's like basically just to turn it into a coding agent, uh, uh, problem.[00:28:11] swyx: Your coding agent or just whatever[00:28:13] Simon Last: harness No coding agent. Yeah, code, cloud code. It should be totally general. Yeah. I think if it would be a mistake to like, like fix it on any, any particular coding agent.At the end of the day, it's just like CLI tools.[00:28:21] Sarah Sachs: It's like the same way that you would've a coding agent write the unit test. You should have a coding agent write the eval.[00:28:26] swyx: Yeah.[00:28:26] Sarah Sachs: But there's a lot of supervision in that still. We just don't believe that supervision has to come from software engineers because a lot of it is like, um, kind of you XREE and whatever, and these are the people that also triage failures and tell us where we should be investing next.[00:28:40] swyx: Yeah. I'm gonna go ahead and ask a spicy question. Is there a data, there are no software engineers at Notion.[00:28:46] Simon Last: Um,[00:28:46] Sarah Sachs: what does it mean to be a software engineer?[00:28:47] swyx: Exactly.[00:28:48] Simon Last: I mean, I think the way things are going is like we're on some continuum where. If, if you look back three years ago, humans were typing all the code and then we had auto complete, you're typing list of the code.Then we had sort of like filling agents, filling lines, and now we're getting into like agents doing longer range tasks where you can debug and implement a fix and then verify it works and you know, get your, get your PR even like, like Merion deployed. I think we're sort of just moving up the abstraction ladder and then the human role becomes more about observing and maintaining the outer system.There's a string of agents flowing through, like me prs what's going off the rails. Like what do I need to approve? Is there like a learning or memory mechanism that that works? So it's kind of a hard engineering problem. There's a, you know, there's, there's a lot to do there. I think we're just sort of moving up stack[00:29:34] Sarah Sachs: the same transition machine learning engineers have made, right?Like I haven't looked at a PR curve in a while.[00:29:39] swyx: Yeah. You used to do this stuff and now, um, auto research can do it,[00:29:42] Sarah Sachs: right? Like I think it depends on what you define as a software engineer.[00:29:46] swyx: Yes. It's, that's changing for sure.[00:29:49] Sarah Sachs: I think every software engineer in notion this summer went through like this, um, sheer, um, one of our engineering leads of the company called it, like every software engineer is going through the, the, uh, identity crisis that every manager goes through, where all of a sudden they realize their ability to write code is less important than their ability to delegate in context switch.And I think that is a transition out of being a software engineer. But[00:30:12] Simon Last: yeah. Yeah, there's a critical difference to being a manager, which is that like, it is actually very deeply technical. The problem, you know, humans are very like, like, like fuzzy and you can't like treat a team of humans like a, like a rigorous system where like, you know, prs like, like flow through and can be in like a block status and then what happens when they're blocked, right.With a set of agents, you actually can do that. And, and, and I think it's actually, there's a lot of interesting technical rigor that that goes into that it's like it's a technical design problem. Ultimately.[00:30:42] Alsesio: What is the design of the software factory that you're building?[00:30:46] Simon Last: Yeah, I mean, I think we're. Trying a lot of different things.I mean, ultimately you want to design a system that requires as little human intervention as possible, but like still maintaining the in variance that, that you care about. So yeah, we're exploring a lot different ideas there. I mean, I think I could talk about a few things I think are important there.Like, one thing I think is really important is, um, having some kind of like specification layer you can just commit marked on files. Mm-hmm. That works pretty well, but[00:31:15] swyx: it's nice to be notion man. I'm just saying like the spec, like Yeah. The natural home for specs is notion.[00:31:21] Simon Last: Yeah. Right. It can be a database of pages.Yeah. I mean, it needs to be something that is, you know, human readable and I viewable and I think that's pretty key. Another really key component is like the, the self verification loop. Yes. You need really, really good testing layers, basically. And that's a really deep, uh, uh, problem. But by getting that right, you know, and then, and then it's kinda like the workflow of like.What happens when there's a bug? How does it flow into the system? Like, is it like a subagent working on it? How does it make a PR and how does that get reviewed? And me, and then, you know, so there's like the, the flow or process.[00:31:56] swyx: Yeah. Cool. Uh, you know, one thing we did work out before you guys came in was this demo or this[00:32:01] Simon Last: agents[00:32:02] swyx: agent demo.Uh,[00:32:03] Simon Last: so every,[00:32:04] Alsesio: every time we do an episode, we try the product. Right. I don't think there's ever been an episode that I haven't tried. Yeah. Um,[00:32:11] swyx: and we, we try, try is a, a big word. Like since day one lane space has been on Notion, but this is the, this is the net new thing. Yes.[00:32:18] Alsesio: So this is for Nel Labs, which is the space we're in.So next week we're opening applications for tenants. So there's a web form, let me, we got this form done here. Uh, so, uh, before. Uh, the workflow would be I get an email, then I look at the person. It was like, should I spend time talking to this person? Then I respond, they respond back. So I build this. So the name it came up for on its own.Can you maybe h how do, how does it come up with its own name?[00:32:43] Simon Last: Yeah, that's a pretty app name. It's, it, it is just a random, it's a random, a name generator.[00:32:47] Alsesio: Oh, that's funny. It just came,[00:32:49] Simon Last: the fact that it picked that is, is kind of hilarious. I'm pretty sure it's just determined,[00:32:54] Sarah Sachs: resilient collector. I, I think I've never looked at the code for that.I've never second guessed it. I think it's kind of like a madlib situation.[00:33:00] Simon Last: Yeah, I think you're right. Yeah. It's, it's totally a, a deterministic. Oh, I thought it was great. Yes. Although, although when the, if you use the AI to set itself up, it can update its own name, so. Okay. Um,[00:33:11] Sarah Sachs: how did you create it? It, did you just do[00:33:12] Alsesio: classroom?I,[00:33:13] Sarah Sachs: okay.[00:33:13] Alsesio: I did, yeah. I'll say just check my inbox for applications for a coworking space. Keep a people, so it created the database for me. Which I have here. And I guess database is like an notion table because everything is notion. Um, and then whenever um, an email comes in, like here, it just creates a new role for the person.Mm-hmm. And then it uses web search to enrich the mm-hmm. The profile. So it kind of like searches the web and it's like, this is who this person is, this is when they say they wanna move in and kind of updates everything else. This is, I mean, it's not a GI, but to me, I don't wanna do this work. So it feels like, I mean, it took me maybe like 15 minutes to set up the whole thing.Um, and I really like that most of the information should live here. You know, it is not like some other tool asking me[00:34:01] Sarah Sachs: Yeah.[00:34:01] Alsesio: To like, bring my stuff there. It's like I would've probably already created an ocean thing.[00:34:06] Sarah Sachs: Mm-hmm.[00:34:06] Alsesio: So[00:34:07] Sarah Sachs: most of our biggest use cases and gains are from. That extra layer of human involvement in the process to make it so right.And so like one of our biggest use cases is bug triaging. So if someone posts something in Slack, can you just have a custom agent that lives there that has its own routing constitution of what team this belongs to, creates a task in your task database and then posts in that Slack channel, right? Like that's like one of the first things that we built internally, I think.And it's completely changed the way that notion functions as a company. Nothing falls through, well, most things don't fall through the crack. We don't know what we don't know. But it's not replacing people, it's replacing processes.[00:34:44] Alsesio: Yeah.[00:34:44] Sarah Sachs: Right.[00:34:45] Alsesio: And I'm curious how you think about composability of these things.So the other one I was working on is like a. These filler. So whenever somebody signs up as a tenant, kind of he'll sell the lease for them. There should probably some agent that is like office manager agent mm-hmm. That can handle the request, make the lease, and then, uh, give them a ADA access to the office and all of that.How do you think about that feature?[00:35:08] Simon Last: Yeah, so I mean, there's, there's two ways you can compose. One way is by using like the data primitives. So you can, you know, you, you could give, you have one agent, uh, be writing to the database and there's another agent that's walked in the database. So that's, that's one way that they, they can coordinate that's like a little bit more decoupled and mm-hmm.Works really well. Or you, you can couple them. So I, I think it's actually not released yet. Releasing it like next week is, uh, in the settings for an agent, you can give access to invoke any other agent.[00:35:34] swyx: Hmm.[00:35:34] Simon Last: So you can have them just. Just, uh, uh, talk directly. So[00:35:37] swyx: you, was there a limit on like, number of recursions or just,[00:35:40] Simon Last: um, probably,[00:35:42] swyx: you know what I mean?Like, you can just get an infinite loop that way there's[00:35:45] Simon Last: some kind of Yeah,[00:35:46] Sarah Sachs: I think it's, there is actually a number somewhere.[00:35:49] swyx: I believe I'm just, you know, like, you're, you're, someone's gonna screw up. You[00:35:51] Simon Last: should you try to see[00:35:53] swyx: Yeah. I mean, everything's gonna be paperclips.[00:35:55] Simon Last: Oh, yeah. Yeah. But, uh, but, but that's really useful.Yeah. So we, you know, like I just, I, I helped, uh, someone internally the other day, they had, they had built like over 30 custom agents for, uh, for our go to market team doing all kinds of different things. You know, for example, like researching, you know, like, like filling information about, about a customer or like, like triaging customer feedback or like, uh, something like that.Literally over 30 of them. And, and then he, and then he even made like a database of all the agents and then he is like, okay, and, and now I'm getting 70, over 70 notifications per day with just the agents are blocked on various things. Uh, and then I was like, oh, okay, cool. You know, the obvious thing to do there is to make a manager agent,[00:36:32] Sarah Sachs: right?[00:36:33] Simon Last: That's gonna sort of blocks be another abstraction layer in between your, your, uh, uh, 30 agents. Uh, so yeah, we, we send out with like a manager agent and then has access to invoke all the other agents and it's sort of like, like watching and observing them and then it sort of, it just creates a layer of abstraction.So instead of 70 notifications per day, it's like, like five. And then, and then the manager agent can help like, uh, debug and fix any problems with the,[00:36:54] swyx: does this is a concept of like an inbox or something like piece, you're basically saying that they can message each other?[00:37:00] Simon Last: Yeah.[00:37:01] Sarah Sachs: Well[00:37:01] swyx: they use the system of record, which, which is[00:37:02] Sarah Sachs: notion, so we[00:37:03] Simon Last: actually, yeah, we didn't make any special concepts at all.[00:37:06] swyx: They're interested to the motion notifications that I would've got,[00:37:09] Sarah Sachs: they can just like write a task to a database that the other agent's task to listening to, or they can actually call a web book to the agent, like they can just add the agent. Okay.[00:37:17] Simon Last: Yeah, I mean, this is something that, that we're still working on.I, I think we, you know, like, like generally, generally the way we do these things is, you know, you first make it possible, maybe like a sort of janky way. So I, I, I think the way I set ‘em up is like, you know, we created like a new database that was sort of like issues mm-hmm. That the custom agents were, were experiencing, and then gave them all access to file an issue and then the manager has access to, to read the issues.Um, and that works pretty well, essentially like, like give it its own like internal issue tracker just for the agents. And then, you know, if that becomes a, a concept that seems useful, generally maybe we will think of how to package it in. But I mean, generally we try to just keep it to composing the primitive if we can.You know, another example of this is we have no built-in memory concept. Memory is, is just pages and databases. And so if you wanna give a memory, just give it a page and give it. Edit access to that page and the[00:38:03] swyx: human can edit it. Agent can edit[00:38:04] Simon Last: it. Yeah. And so that works, that pattern works extremely well on it.And you know, depending this case, you can have it be just a page or it could be an entire database with, you know, or, you know, I can have sub pages is is pretty on what you can do with that.[00:38:15] Alsesio: So when I was setting this up, uh, I connected my inbox and it was like, do you wanna use Gmail or Notion Mail? And I'm like, I don't wanna use Eater, I just want you to do it.I'm curious how you think about, you know, notion, mail, notion, calendar, all of these kind of ui ux interfaces, full stack[00:38:29] Simon Last: notion.[00:38:30] Alsesio: Yeah. When like at the same time you have the agents abstracting them away from you in a way, you know, how do you spend like the product calories so to speak?[00:38:37] Simon Last: Yeah, I mean, I think it's pretty important that you don't have to use, not your mail to connect to the mail capability.So we can just connect to Gmail or, or whatever you want, uh, to use. And we're thinking of the mail service as being really great to the extent that it's really agent built, right? So maybe the mail app is just sort of a prepackaged agent that helps you automate your, your inbox.[00:39:00] Alsesio: Yeah, the auto labeling is great.Think[00:39:03] Sarah Sachs: the, when we, um, integrate with Gmail for instance, we have a series of tools available that are available via MCP or API to Gmail. When we integrate with Notion Mail, we have the Notion Mail engineering team to build us the, um, exact right tools that optimize latency, optimize performance and quality.They own that quality. Um, there's product leads there. They're directly thinking about the user problems that happen in mail. So it tends to be when we build integrations and connections, we build natively first. Um, and then think about, um, extending them generally just because it's also easier. Mm-hmm. Um, um, to build natively first.Um, so that tends to be how we phase things out.[00:39:43] swyx: Talking about integrations, you prompted me, so I gotta ask. M-C-P-C-L-I. What's going on? What's the[00:39:48] Simon Last: Yeah. Opinion. I think, I mean, I'm, I'm definitely bullish and excited about cli. I think there's a few really cool things about cli. So one really cool thing is like, um, is that it's in the terminal environment, so it gets a bunch of extra power.So it, you know, for example, it can like, like paginating and cursor through like long outputs. Um, and it has a progressive disclosure inherently. Uh, so, you know, you don't see all the tools at once. It's just, you see the CLI wrapper and you can like use the, the help commands and, and, and read files. And then I think the most important thing that's, that's super cool is that there, it's also inherently a, a bootstrapped.So if there's an issue, uh, the agent can debug and fix itself within the same environment that it uses the tool.[00:40:30] swyx: Mm.[00:40:30] Simon Last: Right. Like, you know, I think I saw a tweet this morning. Someone said, you know, my agent didn't have a browser, so I asked it to make all a browser tool and within a hundred lines of code, it gave itself a little browser, like, like wrapping the, the, the chromium API, um.That's pretty incredible. And then if there was a bug, it would just immediately try to fix it. Mm-hmm. Right. On the other hand, if you use an, you know, if you use like of, of the Chrome dev tools, MCP, I've had this issue where like, like sometimes the transport gets like messed up. If it gets messed up, the agent has no way to fix itself.It, it no longer has a browser, it's, it's not broken. Right. I think that's, that's pretty fundamental, but I would say like a lot of the, the bad things about it can be fixed. Uh, so I think like, as a progressive disclosure, that can be fixed with, with right harness. Like, it, it obviously doesn't make sense to show it all the tools all the time.That's not really inherent to the MCP protocol. It's just like how you wrap it and use it.[00:41:16] swyx: There's many poorly built MCPs because we didn't know.[00:41:19] Simon Last: Yeah, yeah. I mean it was just early, like, like the obvious thing is, uh, you know, to start with is, is to just show it all the tools and it's like, okay, now we have a hundred tools.Yeah. And like the tool calling actually works. So let's of[00:41:28] swyx: your success[00:41:29] Simon Last: give it a way to like, like filter to source the tools. So yeah, I would say like broadly speaking, I'm really bullish on cli. I'm still bullish on CPS and in a certain environment. I think in, in particular, CP is really great for when you want sort of like a narrow, lightweight agent.I think there's, there's definitely a lot of use cases where, where you don't want like a full coding agent with a compute run time. And also you want it to be like more tightly permissioned. MCP inherently has a really strong permission model, like all you can do is call the tools. A CLI is a little bit murkier.It's like, can I access the, if PI token are you, like, properly sort of like re-encrypt the token so it can't like exfiltrate it, it introduce a lot of like, like new issues, which are. Real and hard to solve. And MCP is just like the dumb simple thing that works and it that it's pretty good.[00:42:12] Sarah Sachs: I'll add two more perspectives, not from it working well for Notion, but how notion like commits to both platforms.Notion is dedicated to being the best system of record for where people do their enterprise work. So we will always support our MCP and so far as other people are using cps, right? So regardless of our perspective, we've put a lot of effort into our MCP and we have a fantastic team that we're building, um, to do more there.And the second thing I'll say, I think, um, we all think a lot, but lately I've been thinking a lot about making sure there's a value alignment and pricing, um, with capability.[00:42:43] swyx: Literally our next question[00:42:44] Sarah Sachs: and. Needing language to execute deterministic tasks feels wasteful and requiring on a language model to interface with third party providers seems wasteful for tasks that don't require it.And particularly because our custom agents are using usage-based pricing. We think of pricing as like the barrier of entry for use of our product, and we're quite committed to making sure that it's not wasteful. Um, not just because it's a bad deal for our customers, but it's also bad business. We wanna have as many buyers, like there's a, there's an elasticity of demand and so if we can have our agents properly execute code that calls on CLI deterministically, it's a one-time cost, right?Versus constantly having a language model integrate with an MCP over and over and over and paying those like repeated token fees and it's happening outside the cash window, then you're paying for it over and over and over and it's just kind of unnecessary and less deterministic when it doesn't have to be.[00:43:36] Alessio: Yeah, the open-endedness I think is like, the main thing is like, well, if I go write code to just call an API, I would never use an MCP. But then you need an NCP sometimes when you know what to call, but you don't want it to restart versus like, I think the it built a browser from scratch is like, it's great when you're doing it on your own, but like if your customers were having your AI write a browser from scratch every time and you had to pay the token cost of that, yeah.You'd be like, no, no. The Chrome dev tools CP is actually pretty great. Just use that. I'm curious, how do you make that decision? Like should it be. Just straight API call very narrow. Should it be an MCP? Should it be super open-ended?[00:44:10] Sarah Sachs: Do you mean for when we ship notion capabilities or when we add capabilities to[00:44:13] Alessio: notion[00:44:14] Sarah Sachs: AI or,[00:44:14] Alessio: I mean, you might have a capability that the only way to do is an open-ended agent, like an agent with a coding sandbox.[00:44:21] Sarah Sachs: Yeah. In Notion ai they're not explicit, not We also ship an MCP.[00:44:24] Alsesio: Yeah. Yeah. In B,[00:44:25] Sarah Sachs: yeah.[00:44:26] Alsesio: Internally. Okay. Like is there ever a discussion of like, we're not gonna ship it because we're not able to tie it down? Or are you happy to just like,[00:44:33] Sarah Sachs: um, no. I mean, there are a lot of things where we choose not to use MCP because we wanna add more high touch to quality.I think search an agent to find is like the largest instance of that, where we have. Um, slack and linear and Jira search and notion that is not using necessarily the search MCP functionality that is provided by those companies. And that's because it's quite critical we think, to how our agent trajectories work is for us to have a little bit more control on the functionality of the search journey.And so it usually comes from quality and there's a long tail of things and that's why we built an MCP client or an MCP server, excuse me, so that people can connect whatever they want. There's that long tail, right. But we, for search particularly, I would say that's like the primary entry point, but there are other connections as well that it's a little bit of secret sauce a

Anne Ghesquière reçoit Ludovic Leroux, expert du nerf vague, ancien rugbyman et coach d'athlètes. On entend souvent dire : « Quand on veut, on peut. » Et si c'était l'inverse ? Et si l'on ne pouvait vraiment vouloir qu'à partir du moment où quelque chose, en nous, est prêt ? Pourquoi, malgré nos efforts, restons-nous bloqués, procrastinons-nous ou luttons-nous contre nous-mêmes ? D'où viennent ces mécanismes invisibles qui nous freinent alors même que nous voulons avancer ? Comment transformer notre rapport à l'action ? Ludovic Leroux explore notre dialogue intérieur, éclaire les stratégies de protection de notre système nerveux et propose une approche concrète pour passer du blocage à l'élan. Prêts à réaliser des choses que vous n'auriez jamais imaginé faire dans votre vie ? Son livre, Quand on peut, on veut, est publié aux Éditions Eyrolles. Épisode #682Quelques citations du podcast avec Ludovic Leroux:"Plutôt que d'avoir de la volonté, est-ce que j'ai vraiment de l'engagement?""Nos défauts, ce ne sont pas des défauts, ce sont des réponses de notre système nerveux que l'on ne comprend pas.""On a plus peur de ce qu'on redoute que de ce qui se passe réellement."À réécouter : #503 Une vie sans limite grâce au nerf vague !#364 Se reconnecter au corps grâce au nerf vague #209 Réguler son nerf vague pour renouer avec la pleine confianceRecevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook et TikTokAbonnez-vous sur Apple Podcasts / Spotify / Deezer / Castbox / YouTubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Ludovic Leroux :00:00Introduction01:30Présentation de l'invité, Ludovic Leroux05:52Le schéma limitant de la volonté12:33Rêve et engagement19:47Le triangle de Karpman intérieur32:17Devenir un metteur en scène conscient40:16Rituels de sécurité44:49Le consentement intérieur48:41L'expérience de la douche froide51:07Du mode fuite à un espace sécure01:00:33Recréer le lien avec soiAvant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

I warn about AI and checking the facts, Crows attack humans at a 0% kill rate, and Out of time. Cheers!   This podcast is not legal advice and just for entertainment.

Joseph Blackman welcomed Brittany Thurston, a program manager in HR for the public sector, back to the podcast to discuss her creation of an internal leadership development cohort designed to provide genuine comprehension over traditional management theory. Brittany described the program's origins from an employee survey and its focus on self-management, personal values, and the "why" of public service. Key talking points included the curriculum's practical exercises—such as a trust-building "capture the flag" game using Nerf guns and "bounding overwatch" principles—as well as the importance of peer interaction and internal credibility. Brittany also highlighted the program's significant return on investment, costing less than $200 out-of-pocket compared to expensive external consultants, and concluded with advice for "internal entrepreneurs" to take risks and build tangible proposals to address organizational gaps. Give the show a listen and remember to thank your local Public Works Professionals.

I take a look at how the balance changes from last week have shaped up, before playing Herald Death Knight on the ladder. You can find the deck import code below the following contact links.  You can follow me @blisterguy on Twitch, Bluesky, and Youtube. Join our Discord community here or at discord.me/blisterguy. You can support this podcast and my other Hearthstone work at Patreon here. # 2x (1) Morbid Swarm # 1x (1) Murmy # 1x (1) Soulrest Ceremony # 2x (2) Command Claw # 2x (2) Hematurge # 2x (2) Infested Breath # 2x (3) Chillfallen Baron # 1x (3) Staff of the Endbringer # 1x (4) Husk, Eternal Reaper # 2x (4) Memoriam Manifest # 1x (4) Nightmare Lord Xavius # 2x (4) Obsessive Technician # 1x (5) Envoy of the End # 2x (5) Reanimated Pterrordax # 1x (5) The Curator # 2x (6) Experimental Animation # 1x (6) Ultraxion # 2x (7) Remnant of Rage # 1x (9) Arisen Onyxia # 1x (10) Deathwing, Worldbreaker #  AAECAYG2BwrUngbDgwefngf0qgfSrgeosQePvgfQvwfqyQeb1AcKh/YE2OUGgf0Gl4IHupUHkasH4rEHjr8HmsUH0MUHAAA=

In this episode I'm joined by Bill Fienup. He's the co-founder of mHUB, one of the world's leading hardtech innovation centers, located in Chicago, IL.We explore how he went from building Nerf gun prototypes at MIT to creating a space where thousands of hardware founders can prototype, test, and scale physical products. What started out as a meetup group and a spreadsheet, grew into a full ecosystem with millions of dollars in equipment and billions of dollars in economic impact.Bill shares how to test hardware ideas without burning capital, why most teams over-focus on feasibility instead of desirability, and how to validate what people will actually pay for before you build.If you're working on physical products, or funding them, this episode is a masterclass in how to test before you invest.Enjoy my conversation with Bill Fienup.TakeawaysStart with the problem, not the solution. The biggest risk isn't building something, it's solving a problem that customers don't care enough about to act on.Desirability and willingness to pay matter more than feasibility early. Teams often over-focus on building, but the real uncertainty is whether customers value the solution enough to pay.Test demand before investing in development. Simple experiments like landing pages or fake purchase flows can validate real interest before committing resources.Iterate in spirals, not stages. Move across desirability, feasibility, and viability repeatedly, increasing investment only as uncertainty is reduced.Avoid building the wrong thing the right way. Strong execution can't fix a fundamentally misaligned product, validation must come before scale.Use competition as validation. Existing solutions signal real demand and confirm the problem is worth solving.Focus on the majority, not edge cases. Designing for the loud minority can increase cost and complexity without improving overall product-market fit.Community can be a powerful starting point. MHub began as a meetup and shared spreadsheet, showing how real user pain can evolve into a scalable ecosystem.Guest LinksmHub's Website: https://www.mhubchicago.com/LinkedIn Profile: https://www.linkedin.com/in/fienup/ If your leadership team is about to make a big strategic bet, the real risk usually isn't the idea, it's the assumptions behind it that haven't been surfaced yet. A Decision Sprint is a focused 6–12 week engagement where we extract, map, and test those risks so leaders can make a clear Commit, Correct, or Cut decision before major capital moves. Learn more or apply at precoil.com.

A recent survey sent out by Citi has us speculating about changes Citi might be considering for the Citi Strata Premier℠ Card. This would include an increased annual fee and increased complexity. Citi might nerf the Strata PremierRead more about the Citi Strata Premiere refresh rumors here(02:55) - Current version vs potential version(09:44) - Why we're not a fan...Visit https://frequentmiler.com/subscribe to get updated on in-depth points and miles content like this, and don't forget to like and follow us on social media.Music Credit – Beach Walk by Unicorn HeadsMentioned in this episode:Visit FrequentMiler.com Did you know that Frequent Miller is also a website? At frequentMiller.com, you'll find all the latest deals, news about points, miles, and rewarding credit cards, the single best, Best Credit Cards page on the web, guides to all popular rewards programs, and many other terrific resources. If you'd like to get our posts sent to your email, go to frequentMiller.com/subscribe and sign up for free. https://frequentmiler.com/subscribe/Check out all of our other travel podcasts from around the worldThis podcast is part of Voyascape, a podcast network that brings together the world's best travel podcasts. You can find all of our podcasts from around the world at Voyascape.com. If you are interested in advertising or sponsored content on any of our shows you can find out more at the link below.Voyascape Podcast Network

Today on Ed & Red: Rating the lethality of Nerf guns; how Knight Rider shaped Ed's psyche; why standardized school testing and IQ tests don't really map intelligence; a quadraplegic cornhole player shoots his passenger while driving the car...yup, for real. Oh, America. 

This episode kicks off with the crew accidentally becoming full-time tech support for their parents, unraveling the chaos of multiple Microsoft accounts, mystery subscriptions, and the universal truth that one wrong click can derail an entire afternoon. What starts as a simple “can you fix this?” quickly spirals into a deeper debate about trusting salespeople, buying tech, and why older generations interact with modern devices like they're solving a puzzle with missing pieces. Along the way, things take a hard left into Nerf gun chaos, LEGO destruction scenarios, and the kind of wildly over-engineered solutions that only make sense on this podcast. We also reminisce about our favorite Star Wars experiences, ramble on with stories of the good ol' days, nerd out about current and upcoming Star Wars shows, books, and games, and talk a little bit about life. Thank you so much for supporting our channel! We love interacting with all of you! We look forward to talking with you guys every week about Star Wars, gaming, 3D printing, pop culture, movies, and everything else! If you want to show your love, consider sending us an email, joining our Discord, or following us on Twitch! We'll see you again soon! ------------------------------------------------------------------- Twitch: http://www.twitch.tv/riseofthepodcast Discord Server Link: https://discord.gg/DcuBKXVxJs Email us: contact@RiseOfThePodcast.com Facebook: https://www.facebook.com/riseofthepodcast Web: http://www.riseofthepodcast.com Twitter: http://www.twitter.com/rotptweets Instagram: https://www.instagram.com/riseofthepodcast Patreon: https://www.patreon.com/RiseofthePodcast Spotify: https://spoti.fi/3qzOazE iTunes: https://apple.co/3wAfwcI Google Podcasts: https://bit.ly/RotPGoogle Thanks for watching! Rise of the Podcast Episode 349: Old People and Technology Produced and Edited by 8r0wn13 ©2026 All Rights Reserved #Podcast #DuluthMN #StarWars

On today’s show: Ben's daughters are planning his divorce... Why Megan was sent off with a dramatic guard of honour and Nerf gun salute. Listeners share worst learner‑driver disaster as Ben is teaching his teenager to drive! Jono's Inland Revenue meeting is triggering anxiety... The best-spoken breakdowns in songs! Nicole Ryan joins with entertainment gossip behind Secret Life of Morman Wives! Sibling Survivors returns with brutal childhood stories Instagram: @THEHITSBREAKFAST Facebook: The Hits Breakfast with Jono, Ben & MeganSee omnystudio.com/listener for privacy information.

Good Morning and E News: Chuck Norris passed away and Justin Timberlake's DWI video has been released, Shia LaBeouf is in need of some assistance, Chappell Roan made a girl cry. Or did she?, Keith Urban is making a yacht rock album, Fake or For Real, and News That Didn't Make the News: How is your NCAA bracket?, What is speed-friend?, Who's the worst passenger to sit next to?, Is your sleep tracker making you anxious?, Second Date Update: Dating can be magical!, 1K Letter of the Day, Nerf wars, Tim got pooped on, and more… See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Sophie “Lightning” Jamison is a content creator and Creator Partnership Lead at Anomaly, where she directs the development and execution of the agency's creator strategy. She also runs her own TikTok account with over two million followers and previously served as CTTO at Nerf, where she spearheaded creator strategy initiatives.Jamison is known for her authentic approach and distinctive online presence, helping brands integrate creators in meaningful and culturally relevant ways. She has worked with leading brands across entertainment, lifestyle, and consumer goods, building creator programs that drive both cultural impact and measurable results. Named to the Forbes 30 Under 30 Class of 2024, she has been featured on numerous media outlets and podcasts, sharing insights on creator partnerships, influencer strategy, and the evolving digital landscape.

Enregistré au One to One Retail E-Commerce 2026, cet épisode s'attaque à un angle souvent négligé : l'expérience client post-achat à grande échelle.Laurent reçoit Fabien Kbaier, Senior Account Manager chez Infios - éditeur spécialisé dans l'exécution de la supply chain pour les grands comptes.Au programme :La promesse client : comment la construire en temps réel avant même la commandeL'Order Management System et l'art de trouver le meilleur nœud de distributionLes erreurs classiques des grands comptes sur les règles d'orchestrationLe cas Spirit Halloween : 50 magasins à 1 500 pop-up stores en quelques jours, +70% de ventesL'IA agentique et ce que ça change concrètement dans la gestion des exceptionsUn épisode concret pour toutes les marques qui font de la croissance sans avoir structuré leur supply chain en conséquence.Et quelques dernières infos à vous partager :Suivez Le Panier sur Instagram @lepanier.podcast !Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Girl Scout cookie wars, frozen candy hacks, and Jeremy mispronouncing absolutely everything. The crew spirals through tech frustrations, weird language trivia, and live chat chaos before diving headfirst into Star Wars, from Clone Wars debates to dream planets and the long-awaited KOTOR remake. Just when things settle down, a mysterious noise in the building sends Jeremy on a ghost hunt while the Nerf gun reward system completely falls apart. We also reminisce about our favorite Star Wars experiences, ramble on with stories of the good ol' days, nerd out about current and upcoming Star Wars shows, books, and games, and talk a little bit about life. Thank you so much for supporting our channel! We love interacting with all of you! We look forward to talking with you guys every week about Star Wars, gaming, 3D printing, pop culture, movies, and everything else! If you want to show your love, consider sending us an email, joining our Discord, or following us on Twitch! We'll see you again soon! ------------------------------------------------------------------- Twitch: http://www.twitch.tv/riseofthepodcast Discord Server Link: https://discord.gg/DcuBKXVxJs Email us: contact@RiseOfThePodcast.com Facebook: https://www.facebook.com/riseofthepodcast Web: http://www.riseofthepodcast.com Twitter: http://www.twitter.com/rotptweets Instagram: https://www.instagram.com/riseofthepodcast Patreon: https://www.patreon.com/RiseofthePodcast Spotify: https://spoti.fi/3qzOazE iTunes: https://apple.co/3wAfwcI Google Podcasts: https://bit.ly/RotPGoogle Thanks for watching! Rise of the Podcast Episode 346: The Best Girl Scout Cookie Produced and Edited by 8r0wn13 ©2026 All Rights Reserved #Podcast #DuluthMN #StarWars

Send a textThe moment you decide to end something beloved is the moment your standards get loud. We talk with author-engineer-artist Steve Sxak about closing the Marston House Cipher after 15 years of free, culture-first sessions—and why a final-season victory lap and documentary are the right way to honor it. The reasons are honest: parenthood, touring, writing, and an unwillingness to do a half-speed version of a pillar that helped define Philly's underground hip-hop.From there we dive into the shifting DNA of battle rap. Steve's watched the scene evolve from off-the-top, on-beat warfare to intricate, months-in-the-making a cappella performances. We break down the pros and cons of both, the real boundaries—words are open, hands are not—and the intangible skills that separate a punchline from a moment: timing, breath, and crowd control. Philly is the backdrop for it all—late nights, tight roads, and tighter communities that push you to grow or get left.Creation doesn't stop at the booth. Steve's touring with The Heroes League into SXSW's Nerdcore Days, carrying a mobile studio to capture spontaneous collabs. He's dropping a project every month across hip-hop, R&B, folk, and punk, plus a hard-knock record with Amsterdam's Skinny Bones the Godfather that's taking him to Europe and beyond. We also unpack the surprise hit of his YA novel, Invasion Of The Punk Rockers Who Drink Blood, how a joke title became a serious story about belonging and real-world monsters, and what it took to bring it to life.Underneath the accolades is a working parent's blueprint: homeschooling for flexibility and focus, kids in the room learning engineering and rhythm, and a studio practice that values preparation over posturing. If you've ever wrestled with when to close a chapter, how to protect your standards, or how to build a creative life that still makes room for Nerf wars and bedtime, this conversation lands. Subscribe, share with a friend who loves hip-hop and books with bite, and leave a review with your take: is anything off-limits in battle rap?Subscribe to our YouTube Channel: The SHITTS Podcast. Follow us on Spotify, Apple Podcasts, and iHeart Radio. Subscribe and comment.

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

Checking in with our budget correspondants at the Winter Games in Italy.  

We take you back to Italy for a nother update on the Winter Games. 

TBT to the Summer games in Paris.  Lots of sports and not enough "expertise". 

Scientists are focusing on VD... Valentines Day.  There are new discoveries every day! 

Science Minute investigates the phases of love for Valentines Day. 

More budget updates from the Winter Games.  Can we get a well check on Bob? 

Anne Ghesquière reçoit Stéphanie Brillant, journaliste, réalisatrice, productrice et conférencière. Qu'est-ce que l'amour ? Est-il une émotion, une énergie, une force biologique ou alchimique ? Pourquoi peut-il nous faire toucher le sommet comme provoquer les plus grandes douleurs ? Existe-t-il une intelligence de l'amour, au croisement du cœur, du corps et de la conscience ? Et si, pour mieux comprendre notre rapport à l'amour, il fallait dépasser le seul registre psychologique pour explorer aussi les sciences, la chimie, le nerf vague et même une forme d'amour quantique ?Stéphanie Brillant a enquêté sur l'une des forces les plus puissantes de la nature et nous invite à nous ouvrir à l'amour plutôt qu'à le chercher, pour nous libérer de nos entraves et laisser cette énergie nous transformer. Son livre, L'incroyable pouvoir de l'amour, est publié chez Actes Sud[SÉLECTION WEEK-END – METAMORPHOSE] L'épisode #348 a été diffusé, la première fois, le 8 décembre 2022.Quelques citations du podcast avec Stéphanie Brillant :"L'amour n'est pas un sentiment mais une énergie et les sentiments nous informent que cette énergie nous traverse.""Quand le nerf vague fonctionne bien, on est d'avantage capable de se connecter aux autres.""L'amour ce n'est pas la gentillesse, c'est la justesse."Recevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook & TikTokAbonnez-vous sur Apple Podcast / Spotify / Deezer / CastBox / YoutubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Stéphanie Brillant :00:00Introduction01:30 L'invitée02:36 Qu'est-ce que l'amour ?03:55 L'amour quantique05:25 Une expérience d'épiphanie du cœur07:14 Les 4 états de l'amour12:19 La conscience du cœur14:32 Le champ magnétique du cœur14:58 La mémoire du cœur16:48 Cœur et alignement17:50 Stress et maux du cœur18:32 Le vortex du cœur22:29 Trauma et acceptation26:03 Le péricarde29:20 Dialoguer avec ses organes30:47 Une respiration pour trouver l'homéostasie33:05 Nerf vague, nerf de l'amour37:20 Amour et évolution39:04 Le pire ennemi du cœur40:47 Reconnaître la peur délétère42:25 Peut-on prédire l'attirance ?52:53 La playlist de l'amour55:02 Peut-on être amoureux de plusieurs personnes ?55:51 La limérence 56:37 Bonne relation et qualité de dispute58:05 Le love bombing 59:31 Se réparer des blessures d'attachement 01:01:04 La jarre d'amour 01:02:05 Intégrer l'amour dans l'entrepriseAvant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

You move fast in this episode, stacking Quick Tips that shave friction off your day almost immediately. You tell Siri to take notes on command, record audio directly inside Notes with native transcripts, and pull off smarter gestures in CarPlay Maps and iOS 26 Safari that feel hidden in plain sight. You tame the Camera side button, rename files faster from Finder and app toolbars, and generally remind yourself that small muscle-memory tweaks compound into real time saved. This is the kind of workflow polish that keeps you ahead instead of catching up. Then the conversation sharpens. You dig into why troubleshooting advice can be too eager to fix the wrong problem, unpack what “absolute mode” thinking really means, and react to Apple's acquisition moves and fresh AirTag releases. Listener questions take you into practical territory like grabbing a single frame from video, sharing iCloud calendars with Android users, and understanding how features get quietly “nerfed,” leading to Pilot Pete’s perfectly named Newly Effectuated Reduced Functionality. You wrap with Cool Stuff Found that spans Vision Pro accessories, immersive gaming, and travel-ready power. The throughline is clear: know what still works, notice what's been taken away, and adapt before it costs you time. Don't Get Caught. 00:00:00 Mac Geek Gab 1127 for Monday, February 2nd, 2026 February 2nd: The Record of a Sneeze Day MGG Monthly Giveaway – Enter to win a copy of Copilot Money! The MGG Merch Store is Live! Quick Tips 00:00:01 Gene-QT-Hey Siri, Take a Note 00:03:48 Ian-QT-In Notes, Record Audio and Save the transcript natively! (Use the paper clip icon) 00:06:52 rnDoug-QT-1126-Zoom in CarPlay Maps with a special double-tap (and Peter, too) 00:10:32 Tom-1126-Hold down on URL Bar to close tab (and more) on iOS 26 00:11:13 Bill-QT-1126-Swipe Up on URL bar for All Tabs View on iPhone 00:12:53 Todd-QT-Camera Settings to Get Side Camera Button to do your bidding! 00:17:44 Bill-QT-1126-Rename files in Finder and from apps’ Toolbar Sponsors 00:21:24 SPONSOR: Tempo. For a limited time, Tempo is offering our listeners SIXTY PERCENT OFF your first box! Go to TempoMeals.com/MGG. 00:22:52 SPONSOR: Gusto. Get three months free when you run your first payroll when you start at gusto.com/MGG We Need To Talk 00:24:12 Craig-ChatGPT is too hasty to troubleshoot my tech issues ChatGPT Absolute Mode Hey, Did You Hear? 00:41:23 Apple acquires secretive Q․ai startup for $2 billion 00:45:40 New AirTags from Apple Your Questions Answered and Tips Shared! 00:50:21 Rob-How can I copy one frame from a video? yt-dlp (install with ‘brew install yt-dlp') PullTube and Downie (also available in Setapp) What does NERF stand for when someone kills functionality Newly Effectuated Reduced Functionality 01:03:04 Larry-How can I share my iCloud calendar with an Android user? OneCalendar Sync for iCloud Cool Stuff Found 01:09:04 Adam-CSF-Apple Vision Pro Dual Knit Band Demeo on Vision Pro 01:12:29 DLH-CSF-Anker Prime 25W 3-in-1 Travel charger 01:16:36 MGG 1127 Outtro MGG Monthly Giveaway Bandwidth Provided by CacheFly MGG's CES 2026 Sponsors Pilot Pete's Aviation Podcast: So There I Was (for Aviation Enthusiasts) The Debut Film Podcast – Adam's new podcast! Dave's Business Brain (for Entrepreneurs) and Gig Gab (for Working Musicians) Podcasts MGG Merch is Available! Mac Geek Gab YouTube Page Mac Geek Gab Live Calendar This Week's MGG Premium Contributors MGG Apple Podcasts Reviews feedback@macgeekgab.com 224-888-GEEK Active MGG Sponsors and Coupon Codes List BackBeat Media Podcast Network

Anne Ghesquière reçoit Ludovic Leroux, Coach certifié en Neurosciences Appliquée et expert Théorie Polyvagale. Et si notre manque de confiance ne venait pas de notre mental, mais de notre système nerveux ? Pourquoi nous sentons-nous parfois en insécurité sans raison apparente ? Peut-on réellement rééduquer notre nerf vague pour sortir de la timidité, apaiser l'anxiété et retrouver une sérénité naturelle ? Comment passer d'états de survie à des états de confiance durables ? Ludovic Leroux explore les mécanismes profonds de l'insécurité intérieure à travers la neurobiologie et la Théorie Polyvagale et transmet des outils concrets pour apprendre à réguler son système nerveux, développer une confiance incarnée et vivre en pleine présence. [SÉLECTION WEEK-END – METAMORPHOSE] L'épisode #209 a été diffusé, la première fois, le 8 juillet 2021.Quelques citations du podcast avec Ludovic Leroux :"Aujourd'hui, on n'a plus peur de mourir, on a peur de souffrir""Si j'ai des tensions au niveau des cervicales, ça veut dire que je ne peux pas voir le danger et ça me met en insécurité""Maintenant, dès que j'ai une pensée ou une émotion je l'observe plutôt que d'y réagir tout de suite"Recevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook & TikTokAbonnez-vous sur Apple Podcast / Spotify / Deezer / CastBox / YoutubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Ludovic Leroux :00:00Introduction01:30 L'invité02:54 La peur de monter sur scène04:50 Le mécanisme de la timidité06:15 Le parcours de Ludovic Leroux07:02 L'origine corporelle de la crainte08:38 Qu'est-ce qu'un coach certifié en neurosciences ?09:28 Le fonctionnement du système nerveux autonome10:43 La théorie polyvagale13:15 Le nerf vague dans le corps14:01 Quel usage de cette théorie ?17:04 Fascias et mémoire18:41 Nerf vague et les 3 consciences20:23 L'impact de l'enfance21:55 Lien nerf vague et types d'attachement 25:06 L'état ventral : le plus équilibré ? 28:04 Les niveaux de confiance 32:53 Comment switcher d'un état à un autre ?38:55 En cas de peur de l'avion 41:42 Quels outils ?43:10 La digestion des émotions 45:07 Les exercices recommandés 47:18 Quels bienfaits ? 48:15 Théorie polyvagale et hypersensibilité Avant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

(00:01) Aging Golfers and Hybrids This chapter explores the unique challenges and adjustments that come with playing golf as we age. We highlight the irony that as we have more time to enjoy golf, our physical capabilities often diminish, leading to the need for different strategies and equipment choices. The discussion includes adapting to the realities of aging, such as reduced clubhead speed and the benefits of incorporating more hybrids into our golf bags. We also share anecdotes and insights on how many golfers overestimate their current abilities based on past performances, which can lead to on-course frustration. The goal is to embrace these changes and continue to enjoy the game, potentially even striving to shoot our age in the future. (12:28) Techniques for Penetrating Bunker Shots This chapter explores the transformative journey of four elderly women learning to play golf more effectively. Initially, they struggled with common techniques that weren't suitable for their physical abilities, resulting in a lack of control and unsuccessful shots. We discuss how adjusting their grip and stance, specifically by hinging their wrists and standing the club vertically, helped them gain better control and achieve greater clubhead speed. By positioning the ball at the bottom of their divot and making a regular swing, they could easily navigate the sand and clear obstacles, ultimately improving their game. This approach underscores the importance of adapting techniques to individual needs, especially when physical strength is a limiting factor. (21:17) Improving Golf Swing for Seniors This chapter explores the nuances of grip pressure and balance in golf, especially for older players seeking to maintain or increase their swing speed. We discuss the common misconception that slowing down can lead to better control, emphasizing instead the importance of maintaining balance and grip control to generate more efficient power. Highlighting the challenges of translating force into relatable terms, we examine how changes in stance, grip, and posture can aid in achieving a faster and more balanced swing. The focus is on finding the right grip pressure that allows for control without sacrificing mobility, enabling seniors to optimize their swing for better distance and ball speed. (34:20) Improving Golf Swing Without Tech This chapter explores adjustments to make in your golf game as you age, focusing primarily on increasing swing speed without relying on high-tech equipment. We discuss using an alignment stick to identify the loudest point in your swing, indicating where the club is moving fastest, and how shifting that point can lead to speed gains. Techniques like turning your chest toward the target and enhancing wrist action are highlighted. While we recognize the value of launch monitors, we also acknowledge that not all instructors use them due to their cost. We suggest a simple, cost-effective training tool involving a rope and a Nerf ball to help improve swing speed, emphasizing that these low-tech solutions can be surprisingly effective in enhancing your game. (44:04) Golf Course Length Strategy for Seniors This chapter explores how to determine the appropriate course length by multiplying the distance you hit with a five iron by 36, offering a practical approach to tailor your game. We also share our excitement for the upcoming 52 weeks of shows, encouraging listeners to tune in regularly or catch up on past episodes at thoseweekendgolfguys.com. Reflecting on our journey over the past 11 years, we express gratitude for the audience's support and provide a reminder to follow Jeff's advice for improving your golf experience, particularly as you age.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

FULL SHOW: Tuesday, January 13th, 2026 Curious if we look as bad as we sound? Follow us @BrookeandJeffrey: Youtube Instagram TikTok BrookeandJeffrey.comSee omnystudio.com/listener for privacy information.

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