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This week on the Roach Koach Podcast it's all about Who's Tweeting, as Lorin and Matt go over Nu News, Roachamendations, new hot tracks and more. Topics this episode include:-Korn rumors! -Late breaking Korn rumors!-Who's Touring with Godsmack and Staind-New heat from UnityTX-Whos in those DMs-Lorin vs Fake Deftones-Look Outside Your Window arrives-Who's Festing In France-And The finale of Rippers for Roaches 2!Take a listen!The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

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In this special episode, Lesley Logan sits down with Pilates icons Brooke Siler and Maria Earle for a deeply personal conversation that goes far beyond the reformer. As they celebrate the 25th anniversary of The Pilates Body, they reflect on career evolution, friendships formed during lockdown, and the courage it takes to become more embodied as our bodies change. From life as expats to the intentional decision to redefine a global Pilates classic, this episode is a reminder that strength, trust, and confidence are built from the inside out. If you have any questions about this episode or want to get some of the resources we mentioned, head over to LesleyLogan.co/podcast https://lesleylogan.co/podcast/. If you have any comments or questions about the Be It pod shoot us a message at beit@lesleylogan.co mailto:beit@lesleylogan.co. And as always, if you're enjoying the show please share it with someone who you think would enjoy it as well. It is your continued support that will help us continue to help others. Thank you so much! Never miss another show by subscribing at LesleyLogan.co/subscribe https://lesleylogan.co/podcast/#follow-subscribe-free.In this episode you will learn about:How Maria and Brooke's friendship deepened during global lockdown.Why the Pilates Body aesthetic needed to be questioned and reframed.What a Pilates body truly means beyond appearance and performance.Rediscovering Joe Pilates' original archival work to guide embodied movement.Owning grit and sustained effort instead of attributing success to luck.Episode References/Links:The Pilates Body Book, Revised and Expanded Edition by Brooke Siler - https://beitpod.com/pilatesbodyrevisedBrooke Siler's Website - https://www.brookesilerpilates.comBrooke Siler's Instagram - https://www.instagram.com/brookesilerpilatesMaria Earle's Website - https://www.mariaearle.comMaria Earle's Instagram - https://www.instagram.com/maria_earleLocal Bookstores - https://bookshop.orgReturn to Life Through Contrology by Joseph Pilates - https://a.co/d/0eqSRfGNGuest Bio:Brooke Siler began her Pilates training in 1994 under Joseph Pilates' protégée Romana Kryzanowska at Drago's Gym in New York City where she spent a decade studying under Romana's masterful tutelage. She opened her award-winning Manhattan studio, re:AB Pilates, in 1997 and was quickly embraced by Hollywood's A-list from Madonna to Dustin Hoffman, but Brooke is probably best known for penning the New York Times' best-seller The Pilates Body. The Pilates Body has become the highest grossing Pilates book of all time and she has followed it with titles: Your Ultimate Pilates. Body Challenge, The Pilates Body Kit, The Women's Health Big Book of Pilates and the Pilates Weight Loss for Beginners dvd. In 2021 Brooke launched her long-awaited, passion-product, The Tensatoner™! Brooke has studied anatomy, physiology, kinesiology, fascial networks and cadaver dissection with teachers: Tom Myers (Anatomy Trains), chiropractic physician Dr. Joe Muscolino (Know The Body), Leslie Kaminoff & Amy Matthews (Yoga Anatomy) and podiatristMaria Earle is an internationally recognized Pilates educator known for her warm, charismatic teaching style and deeply embodied approach to movement. With more than 27 years of experience in Pilates and wellness, she draws from decades of hands-on teaching, studio ownership, and advanced education to guide practitioners toward sensation-led, authentic practice. Based in Barcelona, Maria leads postgraduate teacher trainings and online education through her Digital Studio, supporting movers at every stage of life. If you enjoyed this episode, make sure and give us a five star rating and leave us a review on iTunes, Podcast Addict, Podchaser or Castbox. https://lovethepodcast.com/BITYSIDEALS! DEALS! DEALS! DEALS! https://onlinepilatesclasses.com/memberships/perks/#equipmentCheck out all our Preferred Vendors & Special Deals from Clair Sparrow, Sensate, Lyfefuel BeeKeeper's Naturals, Sauna Space, HigherDose, AG1 and ToeSox https://onlinepilatesclasses.com/memberships/perks/#equipmentBe in the know with all the workshops at OPC https://workshops.onlinepilatesclasses.com/lp-workshop-waitlistBe It Till You See It Podcast Survey https://pod.lesleylogan.co/be-it-podcasts-surveyBe a part of Lesley's Pilates Mentorship https://lesleylogan.co/elevate/FREE Ditching Busy Webinar https://ditchingbusy.com/Resources:Watch the Be It Till You See It podcast on YouTube! https://www.youtube.com/channel/UCq08HES7xLMvVa3Fy5DR8-gLesley Logan website https://lesleylogan.co/Be It Till You See It Podcast https://lesleylogan.co/podcast/Online Pilates Classes by Lesley Logan https://onlinepilatesclasses.com/Online Pilates Classes by Lesley Logan on YouTube https://www.youtube.com/channel/UCjogqXLnfyhS5VlU4rdzlnQProfitable Pilates https://profitablepilates.com/about/Follow Us on Social Media:Instagram https://www.instagram.com/lesley.logan/The Be It Till You See It Podcast YouTube channel https://www.youtube.com/channel/UCq08HES7xLMvVa3Fy5DR8-gFacebook https://www.facebook.com/llogan.pilatesLinkedIn https://www.linkedin.com/in/lesley-logan/The OPC YouTube Channel https://www.youtube.com/@OnlinePilatesClasses Episode Transcript:Maria Earle 0:00  It feels great to be a part of something that is, it's bigger than me, it's bigger than the book, it's bigger than us together, it's bigger than all of it. It's about this reframing what it is to be in our bodies and to embodied and to celebrate all the different phases. I mean, my size has never defined me.Lesley Logan 0:27  Welcome to the Be It Till You See It podcast where we talk about taking messy action, knowing that perfect is boring. I'm Lesley Logan, Pilates instructor and fitness business coach. I've trained thousands of people around the world and the number one thing I see stopping people from achieving anything is self-doubt. My friends, action brings clarity and it's the antidote to fear. Each week, my guest will bring bold, executable, intrinsic and targeted steps that you can use to put yourself first and Be It Till You See It. It's a practice, not a perfect. Let's get started.Lesley Logan 1:10  All right, Be It babe, this is magical. If you had told me when I saw this podcast, I would have in this conversation, I would have like, no, what are you talking about? So while we normally don't talk a lot about Pilates on this podcast, everything is kind of Pilates to me. I have two incredible, humongously wonderful, brilliant, the biggest hearts of the entire world teachers on today's podcast, and we are going to talk about friendships and life and having brave conversations and and how do you accept an invitation to make an impact about something that is bigger than you? And this is really wonderful conversation. And so Maria Earle and Brooke Siler are our guests today, and we were talking about The Pilates Body book. And I'm honored. I can't believe I'm pinching myself that just fucking happened. I can't believe it. I can't believe I just got off like, two-hour chat with these wonderful women. What is my life? So anyways, I can't wait for you to hear this, and I do think it is a honest conversation about bodies and women and the things we go through. And I hope you love it and that you send it to a friend who needs to hear it, and you know, you tell us all about your favorite parts of it. Here they are. Lesley Logan 2:23  All right, Be It babe, we have like a dynamic duo. I'm not gonna lie, I also totally screwed something up when hitting getting everything ready, because I was so nervous and so excited, because I'm obsessed with both these women, I get to fan girl over them to their faces, which is very fun for me. So Maria and I got to officially meet in in Seoul Korea, but I had been following Maria Earle for a long time, and just watching she's just like, so graceful and so amazing and just wonderful everything she does. And I'm just like, I'm not graceful at all, but I just absolutely adored her. And I love like, I've spent time with her in Seoul, Korea, and so I feel like we'll always have a night in Seoul together. And then Brooke Siler, okay, so I went to, and you might not know this about me, Brooke, but I actually went to Pilates class, kind of kicking and screaming. I thought of that class was like a bunch of BS workout. I told the girl, it's an infomercial workout. It can't do what it claims, but I needed a friend. So I went to the class. And I was obsessed. Became obsessed with this class. I was like, oh, it was the most amazing thing I've ever done in my entire life. And I worked at South Coast Plaza, and I went to the bookstore, and I went to the fitness section, and I bought the Pilates book that was there, it was your book, I took it home, and I did every exercise like in the book. I started going to Pilates every single day. And you had a second book, and I bought that one. I was on the treadmill, like walking, like I was lifted, like I was obsessed. And then some, I moved to L.A., and someone's, like, can you be my Pilates instructor and like, kind of, you know, the internet and social media wasn't really a thing then. And then, fast forward to, I believe it was January of 2020, you were in L.A., and I was like, I have to go to this workshop. She doesn't know I'm so obsessed with her. And I went to the workshop and you taught an exercise a certain way that I had been teaching it that way, and I had no one had taught it to me like that, but I had just figured out like, and I pull straps I want my inner thighs up because it helps me get my butt on, helps me all these things. And you said it, and I was like, oh my God, I'm so validated right now. So anyways, I just had to tell you that, because, like, I you, like, even though I knew it was great, I just, like, needed someone like you to say it. I was like, this is amazing. So. Brooke Siler 4:31  Your little backup. Lesley Logan 4:32  Yeah, a little backup. So anyways, you've been part of my, like, be it till I see it as a Pilates person my whole life, and you and, like, for at least 20 years, and you didn't know it. But now I get to have the two of you on the Be It Till You See It podcast. So we'll start with Brooke. Brooke, can you tell everyone who you are and what you rock at? Brooke Siler 4:48  Yes. Well, first of all, thank you so much for having us. Me, us both. I, yeah, really excited to even have a conversation. I love being in a room with smart women. There's nothing better, really. So my name is Brooke Siler, as Lesley has already told you, I am an author. I'm a teacher. I started teaching in 1994 and then in 2000 I wrote the Pilates body, and it's been that fantastic 15 minutes of fame that has just gone on and on and on for me. I just am super blessed, super grateful. And yeah, I think that's who I am.Lesley Logan 5:25  Oh, my God, yeah, yeah. Then there's, I mean, like, when you have to, like, distill yourself down into a nutshell life, but it is, absolutely, we'll have to get into the 15 minutes of fame that keeps on giving you know for decades. Maria Earle, what do you rock at babe? Maria Earle 5:40  Hi. Also, thank you for putting this together. It's fun to be here with you two. So my name is Maria Earle, and I am a Pilates educator, and have been teaching Pilates since 1997 walked into the first Pilates studio a few years before that, and just never stopped. Anyway, I I'm based in Barcelona, Spain, and prior to that, I lived in New York City and had a Pilates studio for about eight years on the Upper East Side of Manhattan, and took a big leap of faith and moved abroad about 15 years ago, which it's funny when you put a number to it, but, yeah.Lesley Logan 6:29  I know, I know I feel really young until I realize how long I've been doing something. I'm like, oh, I mean, I'm still young, but also we aged in there.Maria Earle 6:38  So yeah, I have a Pilates studio here, and I run post graduate teacher training courses and online things. And, you know, trying to live my best life, basically.Lesley Logan 6:52  Yeah, do the best you can. Like, do the whole balance thing they all tell us to do. You're like, balance gotta work, the balance of work and life. And, you know, you have kids too, right, Maria? Maria Earle 7:01  I have one, though it feels like multiples, but there is only one. I'm like, yeah, yeah, there's one. Lesley Logan 7:10  Yeah, oh my gosh, okay, well, so I guess we can go, you know, we can go anywhere we want, but I actually would love to hear how the two of you got connected, because part of me goes like, did you know each other in New York? And the other part of me is like, so jealous when I hear that you've been doing Pilates since the 90s, like, I would wonder what my life would have been like had I learned it sooner. I'm always so jealous of people who did it in the 90s.Maria Earle 7:36  Yeah. You call that Golden Age.Brooke Siler 7:38  It really was. It really was a golden, I feel like it was, yeah, it was a Golden Age. Pilates. (inaudible) I feel like Maria and I maybe have orbited each other, because we seem to have been in a lot of the same places at the same times, but we didn't actually meet each other, until just 20, what did we determine it was? 2018?Maria Earle 8:01  2019Brooke Siler 8:02  2019 in Barcelona. I came over to teach a workshop at a studio there, and Maria was there, and she was Maria (inaudible) and it was her birthday, and I was like, oh, loud American, oh my gosh, in Spain, in this little studio. And, yeah, we, I, we just kind of got to chatting, but we didn't do much after that, did we? For a while.Maria Earle 8:28  We talked, I think we talked a few times, because we know are we allowed to say this about you living abroad already. Brooke Siler 8:36  I mean, I live abroad. Maria Earle 8:37  That's not a that's not a .Brooke Siler 8:39  No, it's not a secret. No, I live in the U.K.Maria Earle 8:42  So yeah, I think. Lesley Logan 8:44  What if Brooke is like, don't tell anyone I live in the U.K.Brooke Siler 8:50  I'm the witness protection program. But other than that.Maria Earle 8:53  Witness protection program, I was like, I don't know. You know, I'm not gonna. Anyway, so yeah, (inaudible) exactly. I think we connected. I mean, not only do we connect over, you know, Pilates or whatnot, but I think there was, like a real like, wait, you live in the U.K.? And you were like, wait, you live here now? We were both kind of like, well, what are you doing? What? And so there was, I think, you know, I remember a number of phone calls where we were talking about, you know, the, the challenge of, you know, uprooting your life. And in later years, you know, I mean, I didn't move here with children, but Brooke moved with children, and basically. Brooke Siler 9:41  Yeah, mine were nine and 11 when we moved. Maria Earle 9:43  You know, she needed to start running, like, from the get go. She needed to have all the things together, right? I, I moved here as a single person going, lalala. This is great. This is fun. And then, you know, sort of built my life deciding like, oh, I'm really going to stop. Here, and I'm going to make a life here for myself. And, you know, I've never looked back.Lesley Logan 10:07  Yeah, I think that's so I think this is so interesting, like, because we have a lot of people write in, like, how do you make friends when you're older? Like, I've moved and I think, like, that was obviously shared experiences. Like, you go somewhere, like everyone did you hear they went to a thing that they both are interested in, but then you you connect on another level. Like, I think that's the important part of like, having a friendship. Like, you have to, can't just be like, oh, we just go to Pilates class together. Like, there has to be this other shared thing. And it's like, oh, we're both expats, and we both had to, like, start a whole new life somewhere. And I'd imagine Brooke that it's quite challenging to do that with two kids, like, I imagine, like, because you had already written the book by then, the original Pilates Body Book, and then you move. And so then you're like, you have a whole life. You're a best selling author, and then you're like, a mom trying to get two kids into school.Brooke Siler 10:54  Actually, that was the whole point was I had been kind of this, the Pilates Body author, since 29 years old, 30 years old, right? So I was like, Who? And I started Pilates at 26 years old. So here I was 46 or something. I was like, who am I without this? Like, half my life has been this. Can I just be a mom? So when I moved here, I came with my husband's name, like, I was like, I'm not gonna say Siler, I'm not going to tell anyone I do Pilates. My stuff was in the garage. Like I am to be mom, and that's what I can't or mom, my kids totally do not have English accents, but so, yeah, that's what I was going to do. So I joined the PTA because I'm that person, and I, yeah, I made like, you know, we went to the pub and did the pub quizzes and did all that stuff while the kids were in school. I was mama, and of course, then what did I end up doing, teaching the teachers Pilates for free. I was like, hey, let me come and give you guys Pilates because you I like, how do you do this with kids that's so challenging. Let me do something for you. So I came and started teaching every Friday, giving them Pilates session, you, I can't get away. You can't get away from it like it's who you are. If you're a teacher, you're a teacher, and if your art is is Pilates. Like, you know, I feel like my, my vocation is teacher, and my, my medium is Pilates, you know.Lesley Logan 12:15  I understand that. I think like I, you were all going to teach something that happened, that we, you know, someone probably told all of us that we should become a teacher, and we're like, okay, I'll do that thing. Yeah, yeah.Brooke Siler 12:29  Pulled me back in. And it wasn't till lockdown. That's when Maria and I really came together, and that's when, yeah, my whole Pilates World opened right back up again.Lesley Logan 12:40  Interesting. So, like, did you guys? Because, I mean, obviously we've heard, like, I think it was Esther Peral was, like, the Covid was, like, the great accelerator, like, if you were gonna do something, it was gonna, you were gonna do it, and it's gonna do it faster. So you're either gonna, like, if you're gonna break up with someone, you broke up with them faster. If you were, like, Brad and I, we picked up our life and moved as well, and I did it three years earlier than we thought we ever could. And, and, and so, like, was that the great accelerator for your friendship? Was it a way that you guys got deeper because there was not as many distractions? How did that go?Brooke Siler 13:09  Yeah, what do you think Maria?Maria Earle 13:11  I think so. I mean, I so agree with the great accelerator. I mean, I always think about, I mean, for our friendship, for sure, but also, you know, stepping into, stepping into newness, in terms of professionally, stepping into things that, otherwise, you know, it was the kind of the kick in the ass that I needed for a number of things that I'm totally happy to talk about. Lesley Logan 13:36  Yeah.Brooke Siler 13:38  (inaudible) About it because we were, like a little women's group. There was four of us.Lesley Logan 13:42  Yeah, okay, if I obviously, what happens in a women's group stays in women's group. But like, if there's something we can talk about from women's group, I would love to because I think this is where, this is where a lot of women I find our listeners are, they can get really lonely, or they they want community, and they seek community, but then, you know, someone doesn't show up to something, and it gets easy to take it personally. Like, how did you guys have a women's group, and what did you just talk about?Brooke Siler 14:07  It was, it was a movement. I mean, we were working out together, is what it was. So, like, two, three times a week, we were working out together and.Maria Earle 14:15  And then doing a lot of chatting afterwards. (inaudible) Talk about, like, set your morning aside. I mean, like, don't book any clients until after 12. There is just, there's just too much that needs to pass.Brooke Siler 14:33  Everything, you know, everything that was happening in Covid that was so amplified was happening around us. And so we would sometimes, you know, we'd get on the we'd go to work out, but someone had had a morning, something had happened, someone had seen something and and we would, you know, tears and sharing, and yeah, we yeah, all the things happened, yeah, yeah. But it was an unlikely like, none of us really knew each other knew each other before. And, yeah, we're an interesting foursome, actually.Lesley Logan 15:03  I love but I love it because it's like, I think, you know, you said side of the time, and it just evolved naturally. But also, like, when women do get together and they're and they share that, and they can be vulnerable, you know, they say, like, you know, movement is how, like, we like, trauma can leave the body. We can heal the body. Like, it's so important. I have a yoga class that I go to, and the first few minutes are kind of somebody bitching about something, and then we get into the yoga and then by the time the yoga is over, whatever that was like, moved out of all of us. And then, and then you can wrap up the conversation, if somebody needs to. And I sometimes kind of wish it went an hour longer, you know, I can imagine what a wonderful way to, like, very therapeutic.Brooke Siler 15:44  There's the physical workout and the emotional workout. They both kind of conjoined. Maria Earle 15:50  Yeah and when you just, when you just commit to it, you just lock into it, and that just becomes your non negotiable. Like, that's just, that's just what I do on Tuesdays and Thursday mornings, like, you know, sometimes things would come up, but we.Brooke Siler 16:07  We're committed to one another, to ourselves and to one another. Lesley Logan 16:10  Yeah. And that's like, so, okay, this is the hard part, right? Because, like, we're all teachers here. And like, we have the clients who, like, you know, they want to come three times a week, and then they and then they book, you know, this coffee date and this thing. And then we have the teachers who also say they want these things, or the women who are like, not necessarily teachers, because this is not most of the people don't even do Pilates listeners. But like the people, like they're they want this, but it is a commitment, like it is an actual like, you are not just coming Tuesdays and Thursday mornings until noon, but you're making sure everyone in your life knows about it so that it's things do come up, but they're kind of rare, because there's rarely, like, an actual emergency that can't be done on another day, like, there's, you know. So how did you guys, like, how did did you tell, like, Maria you have a kid, did you tell your one kid and Brooke, I'm assuming your kids are a little older now, but like, were they aware that, like, hey, leave me alone. This is my private time. How did you get the commitment to be something you could come to without the pressures of, like, all the guilt of all being a mom?Maria Earle 17:07  I don't know. I blocked it out. Brooke Siler 17:09  Yeah, me too. What guilt? That was our time?Maria Earle 17:15  No, I don't know. It's funny because I actually, I.Brooke Siler 17:20  Also we have boys, I feel like that needs to be said (inaudible).Maria Earle 17:25  Yeah, maybe, I mean, you know, it could have been messy, like, I don't know, but I know that it was time, not only well spent, obviously, But it was time that was so important to me that I just, I figured out how to make it work. And, you know, maybe sometimes I could only log in for a little while, or, you know, sometimes I'd say, like, I gotta, I gotta go. I gotta go, you know, I I just, I want to, I want to check in. I want to say that I love you, and like, hi, but like, I have all this going on. I, that's it. That's all I got for you. They'd be like, you know, bye, we need just that little bit of like, you got this, you know. Lesley Logan 18:16  Well and it also it sounds so it sounds a little bit like one, you know, you needed it for yourselves, and like, you did that, and they were, like, unapologetic about that. And then two, you found the right people that would understand if you couldn't, and they wouldn't take it personally, and they wouldn't hold it against you. And I think that's where a lot of people have screwed up in their groups, of their friendships. It's like they kind of have kept people from a long time, and you know, like, aren't good at voicing what they need or or even knowing what they need. So then it, it gets muddled, and it becomes an uncomfortable situation.Brooke Siler 18:48  I'm I'm wondering now if maybe what worked in our favor was that we weren't friends beforehand, really. We kind of we, we solidified the friendship, but actually we grew the friendship in lockdown. So we were learning about each other. So it was not only the interest in showing up to move, but we were also interested, I think, you know, in each other and one another, and each one of us had so many amazing things happen to us. You know, Alicia started a podcast, and Karen, like, set up her studio. And, you know.Brooke Siler 19:18  Maria bought. Maria Earle 19:20  Oh yeah, I bought my studio (inaudible). Brooke Siler 19:23  We were there for for all these things, you know. And we could share, like, hey, what do you guys think? And each one of us so has a different kind of forte, and we just feel like the universe just kind of made that all happen. So, without too esoteric, it really was yeah meant to be we and we yeah I think it became that, like.Maria Earle 19:45  It became a rock.Brooke Siler 19:46  You do, yeah.Lesley Logan 19:48  Yeah, and then and, I mean, like, life the world is open. Have you been able to keep the Tuesday and Thursdays together, like you guys still hanging out? Brooke Siler 19:57  It became different. It's shape shifted. It's. Not the same. It's more like, you know, yes, the world is open. There's so many other things going on. I mean, listen, I had to write a book just to see Maria again. I mean, that there was that moment of like, yeah, after having written the book, I was then like, oh, someone actually has to be the model in this. Who and I just, it was immediate. It wasn't even, like, a second I didn't even have a second choice. Like, had she said, no, I was screwed.Lesley Logan 20:31  So, so, so we're, I mean, of course, everyone's like, hold on. We have so many questions about this. Like, women's group, but we're gonna move on, guys, because we only have so much time. But like, if you, if you Brooke Siler's name does not ring a bell from The Pilates Body book, but, but that we, you know, I've literally moved with every apartment. It ever moved with me and into this house, and it didn't even go into a closet, like it's on the shelf. You know, because I think it represents, like the time when I was, like, I was, I believe so much that people can have an independent Pilates practice. And because I was like, but this book gave me that, like, I was able to have an independent Pilates practice. And I I think that, like, that's so necessary for the world we all live in today, to have, you know, to have enough Pilates in our life, whether you're a teacher or not, you need to have some way of doing it. So I was trying to look it up before we started talking, when did you write this book the first time?Brooke Siler 21:24  I started writing it in 1999 and it was published in 2000. Lesley Logan 21:28  Okay, so that's wow, so it's been 25 years. So then you had so then you're like, I'm gonna write it again. I guess.Brooke Siler 21:36  I was like, we should celebrate. It's 25 years, and I still have people coming and saying, oh, my God, my career started because of Pilates, because of The Pilates Body, and that was the first book I ever had, and I've heard that for 25 years, and it felt like, definitely, you know, the, Pilates is bigger now than ever. And I was like, how amazing would it be if we if we did a 25th anniversary, and I brought my literary agent, and she was like, yes, love the idea. And then we brought it to an editor, and they were like, yes, love the idea. And they were like, but, and I just thought, actually, I could, you know, there's that one copy of the Joe Pilates book where it's two of his books together. I thought it was going to get off really easy and just combine the first two books. And so I said to the editor, can't we just put the two together and make it.Lesley Logan 22:21  This one too. Brooke Siler 22:22  Yes, exactly. Wouldn't that be perfect? And then I don't have to do anything. And they were like, No, you have to put new material in there. And I was like, oh, okay. So I hear the things that are of interest to me at this time, like I'm doing a lot of deep work on breathing. I'm doing a lot of deep work on this (inaudible) and that's a whole nother topic, but they chose one, and that was what I went with. And so when I started doing the deep digging, it was, I mean, I had already done the deep digging, I should say, but then starting to try to put it into terms that could be easily understood, and how to make it blend deeper with Pilates. And it was stuff that I was doing that we were doing in our Tuesdays, Thursdays, you know, I always come with ideas. I'm like, hey guys, let's try this thing I've been playing with. And there they were just always game. They were very generous with me and allowing me to test out all of my crazy ideas on them. And yeah, so this one just kept sticking. And then I was teaching online classes, and people were like, writing me afterwards, going, Oh my God, I feel amazing. I can't believe, like, what this feels like. And I was like, okay, cool. So I not only wrote it, but I was like, listen, it's 25 years. I'm going to rewrite all the they didn't give me a budget to do all the photos again. So the photos are the same as they were, and the layout is the same, but I pretty much rewrote everything, like, I updated the language and put in new variations and a lot of archival, you know, just bringing Joe into it, because lockdown, I dug deep, deep in Joe's, you know, treasure trove, and put, like, instead of looking outside of Pilates, I just went back in. I feel like it's that when you go to the dentist, and they used to have the treasure chest and you could pick a toy, it's like, I just went, I did a deep dive into the, Maria, I did a deep dive in and found all. Lesley Logan 24:11  Maria, your dentist didn't have a treasure chest because mine did. And an aquarium, okay? And I would watch the rocket fish go across like I was my favorite.Brooke Siler 24:20  Yes, exactly, yes. So I just yeah, I think, you know, I was pulling stuff out and trying stuff, and they were loving it. And that's the way my mind works. I feel like lockdown for me was an incredible like, everything shut down, out, out, and my brain just went absolutely mad creative. Like I just couldn't stop creating. It was, it was amazing. Lesley Logan 24:44  So you're listening to this everyone. The book is already out, like we're talking about this before I've had my hands on a copy. And of course, I'm like, now (inaudible) even more than I was when you first told me about it, but like I do so and I'm excited to hear what Maria's response was like. Like to also You were telling her, I'm gonna redo this. Like, there is something about, like, Okay, I think we should celebrate. It's gonna be easy. But then it's like, okay, great. Now I've get to redo it. The in the redoing, it's like, you there's things that you can change, because you've had 25 years of teaching on top of it, 25 years of testimonial, 25 years of hearing people say they love this, or have questions about this, like, not many people get a redo and in life, you know, so. So Maria, when she came to you and said she was redoing this, is there anything that like you were the most excited about, that you were like, like, what? What part did you get to explore with her, that you were excited to be in the book?Maria Earle 25:38  Well, my, my role is a very tiny, tiny little role.Lesley Logan 25:43  No way, no way, no.Brooke Siler 25:47  Let's just call bullshit on that. I mean, it's not.Maria Earle 25:50  That is not true. What I mean to say is that, basically, as Brooke said, right, she had been developing these ideas and had an opportunity to basically add a new section to the book. And needed, and needed wanted to have somebody to to be the model for that new chapter. And I got to be someone who sort of got to be in the behind the scenes, like I got to sort of be in her brain a little bit while she was, you know, having this explosive sort of creativity moment, you know, I got to, I got to experience firsthand, you know, her process. And that was amazing. And, you know, I mean, I guess we could joke a little bit about this Brooke, because she she said she sort of hinted to it earlier when she said that, you know, she wanted me to do the book, but you know, she was like, if she said, no, you know, what was I going to do, right? You know, so I think so it took her a little while because she knew that I might like run for the hills when she's asking me to be the, you know, the model.Brooke Siler 27:05  The Pilates Body to be out there. Yeah. Maria Earle 27:08  I was like, Brooke, are you crazy? You know, is like my first reaction, you know. So, you know, do you want to do this? You know, before I'm 50 or after I'm 50, you know, I do you? You know who you're talking to, right? You know I was like, so is this, like a wedding boot camp kind of thing that I need to, like, get myself, like, totally, like, in shape or whatever.Lesley Logan 27:49  Whatever that means, yeah, yeah, yeah.Maria Earle 27:51  And she was like, No, I want you to just be you and talk about leap of faith. Talk about, like, stepping into, like, the scary bits and saying, Okay, I I trust you, yeah, and I believe in your vision, and I want to step into that space 100% because it is what I believe. Like, let's celebrate, let's celebrate the body as it is, like, let's, let's give it a whole another dimension here, you know, let's cut through the bullshit of what it means to have a Pilates body, and let's reframe that dialog. And no, I'm not going to get photoshopped as much as I, you know that little my head is like, well, could. Brooke Siler 29:04  We had a lot of conversations. Maria Earle 29:05  Couldn't they just a little, no, right? So it's like this, like inner dialog of over months and months, you know? And that is powerful and beautiful. And I, I could not have asked for am better partner to to do that with, and, you know, a safe space to like, be, no, I'm going to step into this, and I'm going to do it big, and it's going to be, it's going to be yeah and and, yeah. It feels great to be a part of something that is, it's bigger than me. It's bigger it's bigger than the book. It's bigger than us together. It's bigger than all of it. It's, it's, it's, it's about this reframing what what it is to be in our bodies. And to embodied and to and to celebrate all the different phases. I mean, my size has never defined me, and I have been, you know, I am not the size I was when I was 25.Lesley Logan 30:18  Nor I and probably not, right? I I love that we're going here, because I just have to say, like, we're recording this two weeks after so my youtube channel hit 40,000 subscribers, which I'm at the time, this is where, and I was so freaking stoked, because, like, I did it without, like, putting I did it without, like, doing a, you know, tits and ass workout, without, like, you know, the fake Pilates, like, we'll call it Pilates, but it's just, mostly just sit ups, like, I did it without, like, put on, I did it with, like, just educational support. And I'm so proud of what we did. And on the day that we hit 40,000 somebody wrote, your stuff is really great, but you used to be thinner, and it was really, the videos are really great when you were thinner. What happened? Of course, other subscribers are like, this is not helpful. This is why teachers and trainers are afraid to gain weight. Like, wonderful, supportive stuff and to and like, my response to this per and the person doubled down. So in case we're wondering, like, maybe it's a cultural thing, like, we have a house in Cambodia, and people will inquire, like, oh, you're bigger. Why? Because maybe you're rich. They want it like, like, you know, like, that's kind of different cultures. Have different experiences. So, so I was trying to like, so in case we thought maybe it's a cultural translation thing. No, they doubled down. They said it's a calories in, calories out. She could have better discipline. Oh, and to which I got pissed off, because I don't, I don't have the body I had at you know, when I discovered, when I when Pilates discovered me at 22 like I am, first of all, I am no longer sick. I no longer have digestive issues. I now absorb nutrition. I also like happen to look a lot better with curves. Thank you very much. But I, for the record, like I told I went online and told people, yeah, I've gained 40 pounds. I am the most disciplined person I know. I probably do Pilates more than people other people do who have different bodies than me. You cannot have fat phobic comments on my channel. This is wrong for so many reasons. I hope you have space and grace for yourself and others when your body's changed, because they will and it's and I really appreciate you sharing that journey, Maria, about your body too. It's like, I think so many teachers and so many women are afraid to put themselves out there, whatever their thing is. We can even switch Pilates to being an author, being a speaker or being a doctor, like every woman is so afraid. Well, I don't look like whatever x is supposed to look like. And so people are going to judge me. And then, because they don't put themselves out there, because they're afraid they'll be judged, then the only people that are out there are 22 year olds in their super cute outfits that have never looked good on me. And so, of course, like so then people think that's what it is. And so then we have this whole misunderstanding. Brooke Siler 33:05  It's really, it's a, it's, yeah, it is dysmorphia, and it's a really sad commentary, and it's, and, you know, I'm, don't let me get started on a patriarchy, because I will. Lesley Logan 33:16  We can, but yeah. Brooke Siler 33:19  You know, it's, it's this. It's not only an unrealistic ideal, but like, who's even the one coming up with that shit? It's just ridiculous. And the thing is, we've all bought into it at some stage in our lives. And certainly it's something that, you know, it can be on so many different levels. But Maria and I were talking about this too. There was plenty of times, like, even, you know, you'd want to Photoshop this, or there's the cellulite there, and there's the whole thing, and in the end of the day, we're wiser than we've ever been in our lives. We are more powerful in our own ways than we've ever been in our lives. We can move beautifully in at our this age in our lives. I started taking tennis last year. I go three times a week. One, I've never in my life played tennis. I started at 56 you have to love that and like, fuck it. I don't care if my thighs are thicker. I'm like, really enjoying what I can do in this body. And that's what a Pilates body always was. I did even look back in 2000 when I wrote the book, the if you go through the three models at the beginning, there is a passage at the Afterword that says, I chose these three models because of their they were teaching because they're teachers. Their ability to do the actual movements and endure the long photo shoots of the day, they happen to work for me. So that was very easy. They were there. I didn't do like a whatever they call that, a model call, you know, they they worked for me, so it was perfect. They were amazing teachers who were had modern dance backgrounds, so they were strong as shit, and they were beautiful. And I wrote, I hope in earnest, that they that they inspire and don't intimidate. And I wrote that in 2000 because for me, I already knew it's not about having a skinny you know, body, a particular type of body. It was just they were there to model the work, and I knew they could do it. And these are longer days of shooting. So with Maria, I knew her. I knew her work, because we've been working out together for years, and I could see her power and what she could do with her body. And I thought actually in the way she moved, coming from Kathy Grant, but she has this beautiful way of moving different than what I experienced from Ramana. So I loved it, and I thought it fit so perfectly. And it was very much about, you know, it's got a lot of Maria in it too, which is this beautiful, you know, soul. It's about sensing internally. And so it's, it's a kind of, it's a really nice, I think, flip. It's not that the work. I mean, she killed it, I will say, and I'm just going to admit this, I knew she was going to do an amazing job. I really, I can't actually believe how incredible she was, really. And she knows I say this all the time to her, because she, she killed it. She was a superstar rock star, like, if she couldn't get the thing, she was like, save it. We'll do it again at the end. Like she just, there was determination, like, nothing I've ever seen. It was a very long day of shooting, and I it was like, yeah. I was like, wow, that was really the right choice. I mean, I knew it was the right choice from the beginning. It was, it was a no choice choice. She was a no choice choice. It was just gonna be Maria or it was gonna be no one, and thank God, she took a day, I think, like a day, right when I asked you, and then, like, the next day, she was like, right, I'm good. Because I remember saying to my husband, like, what if she didn't do it? Like, I needed to be her. It's just her. It just was her. It was like, meant to be you. So. Lesley Logan 36:40  Oh yeah, but I, and I, Maria, first of all, like, I don't, I you, there's something about you that's just so magical that you could even, I don't even know, I don't know if I could take the day, I probably would have been like, I'm fucking scared. And, you know, but you know, like, I don't what, what did you think about? What did you? Did you journal? Like, what did you, what? How did you how did you contemplate the decision? Because you're correct, it's hard to find the words for it. It is going to be bigger than this book is any bigger because, because the book was already bigger than Brooke already, and so and so. And also I just want to say, like, I love that there. I love that the height of Pilates being so popular. This book is coming out again, because I do think it brings some authenticity to the work that we're doing. So what did you do during the day to, like, come to the decision we all want to know how you contemplated?Maria Earle 37:30  Well, I think, I think definitely it was a process. It was a number of conversations, you know, and and I knew in my heart that I that I had to say yes, I knew that it would be a major regret if I let fear and you know, like the little the little naysayers, you know you shouldn't be doing that, or what business do you have? You know nobody wants to see you know you. I knew that all those little voices that I ultimately would regret letting them win. So I knew that I had to say yes, and then basically I had to work backwards from the yes to convince myself that I was okay and that, that, you know, and luckily, luckily, I got good people on my corner, so, so whenever I felt like I needed to, oh God, oh God, what have I done? I'm not ready for that. Wait. I need that boot camp, you know, I maybe, if I did lose, you know, the 20 pounds that I've gained, you know, in the past 10 years, perimenopause is kicking my ass, you know, what if I, maybe I could, oh, God, like whenever I would sort of hit those high rev panic moments, you know, I just have to go to Brooke and whoever else was, were my rocks, you know. And you know, while I'm like, circling and, you know, and I can't land right, and they would be like, it's okay, we got you. This is going to be amazing. This is this and that, and.Brooke Siler 39:20  (inaudible) believing the people that see you like you almost have to see yourself through others' eyes like it was no doubt in my mind that you were perfect, perfect, but I just that's you know, you had to go through your process to get there, and I had to respect that. But yes, I was going to tell you how amazing and beautiful and stay as you are and like, think about how many people get to look and say, Oh, I feel that's me. I'm there. I'm being represented. It's, yeah.Maria Earle 39:52  I mean, because it's important. It's about, it's about really stepping into, stepping into that space, and that stepping into that space is really scary, but I show up that way from my clients every day, yeah, but I don't necessarily show up for myself in that way, and that is something that I don't like to admit. So I am admitting it here, and I'm admitting it now, but you won't ever hear me say it again. No, I'm joking. (inaudible) Maybe now I'll be able to say it more often, which is, like, I, you know, I fall into the same body traps, you know, even though I, I will with my clients and with the teachers who I work with, and, you know, my friends, I like show up with body positivity, and you are beautiful and you are powerful. And I don't, let's not worry about the, you know, the extra little curvy there, like, let's get strong. Let's get moving. Because it's about the moving, and it's about feeling strong, feeling great in your body. It's not about how your body looks. I do that for people all day long. And then when it comes to myself, it's like, right? Until it's like eating you up inside. And so and so the process, the process is not overnight. It's like a long term, term thing. And you know, the book's gonna come out, and I'm probably gonna hide under my covers for every day. Lesley Logan 41:17  For a few minutes, and then we're all gonna drag you out.Brooke Siler 41:21  We're coming in after you for sure (inaudible0.Lesley Logan 41:25  I'm gonna text you the day after it comes out to make sure that you're like, I I appreciate and that you said those things, because it's true. Like, I think we all hear like we're all that for our clients, like they body shame themselves, like, hold on, we're reframing that. And in the process of loving the body that I'm growing into. And, you know, there is all the things, because we were raised in, as our brain was developing, we were raised with the five minutes of tone here, the this here, like I was in modeling, and, of course, like I was like, working out all the time. And you guys went at a commercial agent and a modeling agent, and on the same day, the modeling agent said you're not thin enough, and my commercial agent said you're getting too skinny. And I was like, oh, I don't actually know what to do today. Like, I don't know what to do today because I'm now not hireable in commercials, according to you, but I'm not hireable enough because the modeling agency want to be a fitness model, but I wasn't toned enough to be a fitness model, but I wasn't skinny enough to be a model, model, and so, like you so and so here's, here's what I did. You guys, my agents were across the street from a fonuts, which is, if you've ever been to L.A., it's a non fried, gluten free donut shop. Okay, so the donuts are not fried. It's only gonna happen in L.A. and I I fucking went to the donut shop. I was like, fuck it. I don't even know what to do, and I consciously eating my feelings. Right now, I am an adult enough to understand. I do not, I have a therapy session around this, but I was just like, no one is going to be happy. And that is what I like sat on this bus stop with my donut, and I remember, like, no one's happy, and I told my husband, I said, I think I'm gonna let go of the agents. And I don't know what that means, because I don't I wasn't like wasn't like, wasn't like, I was I wasn't a dream of mine, but I was also like, I can't like, I can't handle these people and my own thoughts, like my own reaction, like, I can't my own thoughts of like my body changing and who I'm becoming, and trying to get healthier and absorb B vitamins, you know, anything to live on this planet like, and also have outside people tell me things like, so I that was, that was when I actually let go of but I will say, like, because we all go through that we can be very body positive and still have these things about ourselves. And I, I think it's hard to admit, but it's also like, it's, it's just honest, and it's a process, because I do think that in people falling in love with their bodies and seeing different bodies doing these strong exercises, they're still going to have their own thoughts to themselves. I can't do that. That's not what my body like all the and we have to go, you're going to have all those thoughts, and you're still invited to this party, because, like, we should have always been moving for the health of it and not for the shape of it. And I don't know when we stop working out for the shape. I don't know when that stops, but I do appreciate your honesty there, Maria. And I think it's I'm excited for what people are going to say and see and do.Maria Earle 44:37  Yeah, and also I would say, I would say something about to sort of bring a couple threads through that in that deep dive that Brooke did, like really looking into the archival work and looking at, you know, the pictures that Joe took doing his mat work, like we we sat with the book, you know, during the photo shoot, like we sat with the book and we were like, how is he doing this? As opposed to, and no, no zero shade, but different than looking at a manual or the gorgeous models that were in book one, right, that were all contemporary or ballet dancers who were making shapes, beautiful shapes, that were in very much influenced by the an esthetic that comes from dance. So you know, Mr. Pilates' swan is not a full extension with fingertips facing the ceiling, right? But we have that in our manual as like, that's what the swan dive is supposed to look like, right? And so we bought into an esthetic that doesn't necessarily, really, it's not, it's an it's an it's just that, it's just the esthetic, period, right.Brooke Siler 46:09  It doesn't even serve the body in the same way that when you realize what Joe was asking, and I always kind of joke about this, how many times I looked at those pictures in the book before lockdown, you know, for years before, because Romana had them on her walls and all of that. And in my mind, he was not in great form, not matching what I was being told. So, like, he needs to do this, he needs to soften his knees. He needs to and then when I started, really, and I've read those books a lot of times. I mean, honestly, before lockdown, I had already they were dog eared and highlighted in every color anyway. But then I went back in and, you know, every time you reread something, you read it with new eyes you because it's where you are. You need it. It meets you where you are in that moment, and it met in this place that was so perfect, because I really read it, I really I heard it, I saw it, and I thought, let me try what he's actually saying, because I had not, not done that. I just, blind faith, went with what I knew from my teacher, of course, who you know again, no shade there, either. Like, fantastic. It got me so far. But then being able to take Joe's words and his vision and his you know, he wanted to help us really be in our bodies and move better during the day. So when we did it that way, when we really got into the nitty gritty of what he was asking, and then the feeling like Maria was saying after the photo shoot, that she was like, Oh my God, I feel incredible. Like, not exhausted, and, I mean, maybe exhausted from the energy of it, but like, the feeling in the body is a good feeling, as opposed to.Maria Earle 47:53  Not fighting the body I was not, I was not fighting myself doing the exercises. I think that's, I think that's really, I think there's really something to that, you know, that you're not in a battle against you and the exercise, or you and the shape, and you trying to get into the shape, be the shape and and, you know, you'll see, you'll see the pictures. It's, it's not rocket science. It's not anything incredibly incredible. It's actually pared down. It's actually not performative, and therefore it's, it's, it's gonna resonate at a different level. And for some people, they're gonna be, like, it's just that.Brooke Siler 48:42  I said there's gonna be people who just rip the new chapter off and throw it away.Maria Earle 48:46  Like, well, what is this? You know. But if you're ready for it and you're in, you're willing to, like, excavate, and do the, do the work, as they say, right, then you're going to be like, Oh, this is this. This there. This is different. This feels different. This is, this is me being in my body in a different way. It's in my body in my way, as opposed to in somebody else's way, where I'm trying to, you know, do that, yeah, that what's happening down there at the end of the line.Brooke Siler 49:34  Very internal chapter in its own way. You can, you can enjoy it for the beautiful photos. But really, what's happening inside Maria in it is what's really, it's about and, and it's, you know, it will, it will be a new thing that people can take or leave. But it's really, I dug deep, and then I combined it with this natural thing called pandiculation. Which is what dogs, our pets, do all the time. You know, this, this lengthening and it's and then when I looked at the archival footage, pictures of Joe and the videos, I was like, Wait, that's what he's doing. And that's what he was saying, natural law of nature, how we move. Watch the animals. I was like, you know it was. And so, yeah.Lesley Logan 50:23  Yeah, yeah. I, I'm, thank you for saying what pandiculation was because I was like, I'm gonna have to look that up.Brooke Siler 50:28  And by the time you're, you know, this comes out, you will.Lesley Logan 50:32  but I can't wait for that. But I it's true. Like, my, my dog gets out of bed every morning, and he does both stretches, right? And I like, look at that. I'm like, I don't, I don't get out of bed and go. Lesley Logan 50:41  But he, you know when he does it 30 or 40 times a day. And they do it every time they move, because we don't like if you try to stretch your dog, they don't like stretch. If you try to pull your dog's leg, they don't like that. What dogs are doing? Pandiculation was fascinating. And when we do it, when we it's basically the word for yawn and stretch. It was developed in the 70s, whatever. Anyway, when you yawn and stretch, we think we're stretching, but we're actually contracting. So when you do this, you're not actually stretching the front. You're contracting the back of you and then releasing. And it becomes a signal that's sent to the brain so you actually learn how to regulate your muscle tension. It's phenomenal. Joe didn't say the word pandiculation, but he absolutely asked us to do what the animals do, and that's what the animals do, because it circulates your blood. It's so freaking cool. I just can't wait. I honestly, you know. Lesley Logan 51:37  I keep watching. I sent Brooke a little gif of, like, someone like, watching the mailbox. I'm watching the mailbox. I'm like, she's like, Lesley, I don't have my copy yet. And I'm like. Brooke Siler 51:47  My copy, yeah, no, I can't wait. Lesley Logan 51:49  I I'm really, I'm really stoked for this. I think, I think also, we're ready. I think there's a huge part of the community that's ready for our conversation about this. I think women who are, like, seeking actual Pilates class, are seeking this conversation, and I think you're giving people permission to do it at home, which has always been something that, like, I'm a huge fan of like, I just think that, like, we keep saying we want Pilates to be accessible, but it's not necessarily like about the price of classes, y'all. It's like making sure they have the ability to do it independently, on their own, because I truly believe that that is where confidence is built. It's like creating this agency within themselves. Like, I can do this, you know, I can look at me, I can do these. I can do this move. I can I can feel this in my body, and then go on the day. Like, I think women especially need that internal strength and agency that, yes, it's great to have a teacher like any one of us, to have eyes on you and like to give you some actual corrections. But also, I think sometimes we are always outsourcing. People are like, what are we? Am I good enough to somebody else's opinion and and really, I just want women to have that. So when you Brooke told me about this, I was like, fuck yeah, I'm in whatever it is you're doing I'm in,Brooke Siler 53:06  Developing that sense of internal trust, instead of always asking for the approval to come from the outside. Way to get to start approving of ourselves, feeling that we can trust what we feel, what we know. I don't care if you're I always tell my class it doesn't matter what I say. Literally, if I come over and I'm in your face saying, lift your leg. Lift your if it is not right for you, do not do it. Do not listen to me. Please. You have full permission not to listen to me. Listen to you. Only you are in your body. Only you know what you're feeling. So it has to be a joint you know, conversation that's happening, it can't just come from one side, so I am also really here for the conversations that will come from this and, yeah.Lesley Logan 53:53  Okay, we, I think the three of us could talk for hours, and we're, I'm already, I sorry, I looked at the clock. Hope you have a few more minutes. We're gonna take a brief break, and then find out where people can find you, follow you, work with you and your Be It Action Items. Lesley Logan 54:08  All right, ladies, we'll go. So what Maria? Where do you hang out? Where's your favorite place? She's gonna drink her tea. Where's your favorite place for people to connect with you? How can they work with you? What do you got?Maria Earle 54:23  So people can look me up, find me, contact me through my website mariaearle.com I also have an IG handle that is my name, Maria Earle, and yeah, I would say those are the two best ways to connect with me.Lesley Logan 54:41  Perfect, Brooke, what about you? And where can they buy this book? If they haven't gotten it already?Brooke Siler 54:47  It will be at all your favorite booksellers. I hope, I mean it's, you know, Amazon, Barnes & Noble, all those kinds of great places. And hopefully we'll get it into, you know, small bookstores too. I love the old (inaudible) bookshops.Lesley Logan 54:59  But also, they don't sponsor the show, but I heard, I heard it's bookshop.org, y'all, if you want to support small business, small bookstops, you can look there and see if it's there. When you buy it there, then they send money to a local bookstore. I don't know how that works, but that's what the commercials say. And do you do you hang on Instagram? What's your website? Where can they find you for more?Brooke Siler 55:17  I think it's pretty simple. So it's BrookeSilerPilates, all one word, and that's the website. That's my Instagram handle, that's my Gmail account, BrookeSilerPilates@Gmail. (inaudible) It's a one-stop shop. Yeah, so you can and I'm very I do like, I am social. I do like sharing and hearing back from people. I feel like it's really funny on Instagram. I'll put something up and be like, tell me what you think. And everyone's like, this is great, but nobody answers like, the question, yeah. I'm like, no, no. I really mean it, like I actually want to be in a conversation with you, but.Lesley Logan 55:52  Yeah, no, I feel the same. Brooke, they don't, they don't do it for this year. Brooke Siler 55:55  Yeah. I don't need the flattery, like, thank you, but I don't need that. I just really, actually want to know what do you think and what do you what are you doing? And, yeah.Lesley Logan 56:04  Yeah, yeah. Well, you know what, that'll be our next that'll be our next thing is like, how do we get women to share what they're actually thinking without thinking what they're thinking is wrong, you know? But that's, that's another in the next 25 years. Okay, I feel like I have tons of takeaways, but I still we have to in the show how we always end it with our Be It Action Items, so bold, executable, intrinsic or targeted, steps people can take to be it till they see it. What do you have for us? Well, whoever wants to go first?Brooke Siler 56:34  I mean, yeah. I mean, so, you know, I listened to another podcast you did where that came up, and I realized that it was the orthodontist. She was wonderful, and yeah, and I was thinking I felt quite similarly. I just kind of never believed that I couldn't, that I can't. I just do I don't, I don't sit. And there are things that I sit in question for sure, I think I have, like many women, you know, the fear of being judged. Who the hell wants that? There's nothing nice about that. So there are times that, like putting myself out there can definitely, I can feel stopped, but I'm, I believe very much in pushing through that. And I, I have had a Buddhist mentor since for like, 18 years now and so. And she's always like, you know, the only way out is through. So you just, you push through. You go through that. So I push through fear. Like, if I see fear, I'm gonna head toward it. It may take me a while, but I'm going toward that number one and number two. I don't know if it's just some innate sense of confidence. I just when I have an idea, I want to share it. And when you, when I think of it as being something that I'm sharing, it doesn't feel like it's a scary thing. I'm like, I love it. You said you love it. Let's just do it, it. It's just like that. So I think, for me, when I think of it as sharing, rather than me doing something for you, then to react to it's much it just makes it much more palatable to move forward, because I love sharing. I'm a group, I'm a group, I'm a, I'm a. I like my independence. I like to be on my own. I do a lot of stu

You've been obsessing over your email open rates, but they're not the metric that actually makes you money.In this episode, Allison Hardy breaks down why your click rate is the real MVP of your email funnel, and how to improve it without rewriting every email you've ever sent. If your list isn't clicking, they're not buying...and that's a problem you can't afford to ignore. TAKEAWAYS:Clicks—not opens—are what drive sales and signal positive engagement to email providers like Gmail.If you're not training your email list to click early and often, asking them to click to buy later will fall flat.The PS section is prime real estate, don't let it go to waste without a clickable link.Placing your link multiple times (including near the top) boosts the chances your reader will actually take action.How you invite the click matters just as much as where it goes—clarity, variety, and benefit-focused language are key.LINKS YOU MIGHT FIND HELPFUL: Check out the blog post that accompanies this podcast episode for more details and resources.Want to learn more about creating a culture of clicking in your email funnel? Listen to episode #468.Want to learn how to strategically set up your P.S. for clicks? Check out Profitable P.S.'s! If your emails are getting opened but not clicked, VIP Week is where we fix the strategy behind that, and fast! Snag one of the 12 VIP Week spots available in 2026 by clicking here.Know you need email marketing support, but not sure what offer works best for you? Fill out this form, and Allison will be back in your inbox with a few options that fit you, your business, and your budget best.CONNECT WITH ALLISON:Follow Allison on InstagramDID YOU HAVE AN 'AH-HA MOMENT' WHILE LISTENING TO THIS EPISODE?If you are ready to take action from listening to this episode, head to Apple Podcasts and help us reach new audiences by giving the podcast a rating and a review. Music by: www.bensound.comLicense code: 8G1GJZZDCLKGU9NRArtist: : Benjamin Tissot

Bill Frost (CityWeekly.net, X96 Radio From Hell) and Tommy Milagro (SlamWrestling.net) talk Reality Check: Inside America's Next Top Model, Rental Family, 56 Days, Being Gordon Ramsay, The Night Agent, Girl on the Run: The Hunt for America's Most Wanted Woman, Murder in Glitterball City, The Last Thing He Told Me, Strip Law, Shoresy, American Dad!, Bar Rescue, Wonder Man, Vanished, Ponies, The ‘Burbs, Fox's Baywatch reboot, NBC's Rockford Files reboot, Rasslin' News, From, Dark Winds, A Man on the Inside, Genndy Tartakovsky's Primal, The Lincoln Lawyer, A Knight of the Seven Kingdoms, Have I Got News for You, and more.Drinking: Helles Bock lager from OFFICIAL TV Tan sponsor Bohemian Brewery.Yell at us (or order a TV Tan T-shirt) @TVTanPodcast on Threads, Bluesky, Facebook, Instagram, or Gmail.Rate us and comment: Substack, Spotify, Apple Podcasts, YouTube Music, YouTube, Amazon Podcasts, Audible, TuneIn Radio, etc. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tvtanpodcast.substack.com

Jack Chambers-Ward hosts a solo episode of Search With Candour recapping seven major SEO and digital marketing news stories from the first six weeks of 2026, previously covered in the Core Updates newsletter. He highlights Google's Universal Commerce Protocol (UCP) for agentic commerce and checkout capabilities, Google's Business Agent for brand-voice shopper conversations, and Google's Personal Intelligence initiative that personalises experiences by connecting Gemini to apps like Gmail, YouTube, Photos, and Search. He also covers Gemini-powered AI Insights in Google Trends, Chrome's agentic “auto browse” features that can complete multi-step tasks, a SparkToro study showing AI/LLM recommendations are highly inconsistent, and the February 2026 Google Discover core update aimed at reducing sensational clickbait, improving local relevance, and addressing self-promotional “self-ranking” listicles. Jack notes plans for ongoing monthly news recap episodes and points viewers to links in the show notes for all sources.Links to resources/references:https://developers.googleblog.com/under-the-hood-universal-commerce-protocol-ucp/https://support.google.com/brandprofile/answer/16410382https://blog.google/innovation-and-ai/products/gemini-app/personal-intelligence/https://blog.google/products-and-platforms/products/search/google-trends-explore-with-ai/https://blog.google/products-and-platforms/products/chrome/gemini-3-auto-browse/https://sparktoro.com/blog/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility/https://developers.google.com/search/blog/2026/02/discover-core-update00:00 Introduction02:34 Candour Website Builds: Why SEO Must Be Baked In From Day One04:17 Story #1: Google's Universal Commerce Protocol (UCP) for Agentic Commerce08:52 Story #2: Google Business Agent - Branded AI Chat for Retailers11:50 Story #3: “Personal Intelligence” and the Start of Fully Personalised Search15:09 Story #4: Gemini-Powered Google Trends Insights17:02 Story #5: Chrome “Auto Browse” & Gemini in the Browser22:54 Story #6: SparkToro Study: Why AI Brand Recommendations Are Inconsistent31:51 Story #7: February 2026 Google Discover Core Update34:35 Wrap-Up and upcoming episode

Episode 70 - Queen of the Damned. So much fun to talk vampires together. If my memory serves me correctly this is the first time I tell the story of the Vampire of Pizza Hut. Enjoy!The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

This week, Michael explores AI's intrusion into daily life with a healthy dose of skepticism. From fiber optic installations tearing up the neighborhood to AI-generated email summaries nobody asked for, he questions whether artificial intelligence is truly making our lives better.Michael shares his journey from early AOL email to today's Gmail, where AI now pre-summarizes messages he's perfectly capable of reading himself. He examines seven talking points about AI gratitude—covering time-saving features, creative partnerships, and instant learning—but pushes back on the hype with real-world frustrations.Along the way, he discusses the Tampa Bay Technology Center's existential crisis as membership dwindles, encounters AI-written books lacking personality, and navigates Google's AI-bloated search results. A candid, skeptical look at our AI-saturated world.

From rewriting Google's search stack in the early 2000s to reviving sparse trillion-parameter models and co-designing TPUs with frontier ML research, Jeff Dean has quietly shaped nearly every layer of the modern AI stack. As Chief AI Scientist at Google and a driving force behind Gemini, Jeff has lived through multiple scaling revolutions from CPUs and sharded indices to multimodal models that reason across text, video, and code.Jeff joins us to unpack what it really means to “own the Pareto frontier,” why distillation is the engine behind every Flash model breakthrough, how energy (in picojoules) not FLOPs is becoming the true bottleneck, what it was like leading the charge to unify all of Google's AI teams, and why the next leap won't come from bigger context windows alone, but from systems that give the illusion of attending to trillions of tokens.We discuss:* Jeff's early neural net thesis in 1990: parallel training before it was cool, why he believed scaling would win decades early, and the “bigger model, more data, better results” mantra that held for 15 years* The evolution of Google Search: sharding, moving the entire index into memory in 2001, softening query semantics pre-LLMs, and why retrieval pipelines already resemble modern LLM systems* Pareto frontier strategy: why you need both frontier “Pro” models and low-latency “Flash” models, and how distillation lets smaller models surpass prior generations* Distillation deep dive: ensembles → compression → logits as soft supervision, and why you need the biggest model to make the smallest one good* Latency as a first-class objective: why 10–50x lower latency changes UX entirely, and how future reasoning workloads will demand 10,000 tokens/sec* Energy-based thinking: picojoules per bit, why moving data costs 1000x more than a multiply, batching through the lens of energy, and speculative decoding as amortization* TPU co-design: predicting ML workloads 2–6 years out, speculative hardware features, precision reduction, sparsity, and the constant feedback loop between model architecture and silicon* Sparse models and “outrageously large” networks: trillions of parameters with 1–5% activation, and why sparsity was always the right abstraction* Unified vs. specialized models: abandoning symbolic systems, why general multimodal models tend to dominate vertical silos, and when vertical fine-tuning still makes sense* Long context and the illusion of scale: beyond needle-in-a-haystack benchmarks toward systems that narrow trillions of tokens to 117 relevant documents* Personalized AI: attending to your emails, photos, and documents (with permission), and why retrieval + reasoning will unlock deeply personal assistants* Coding agents: 50 AI interns, crisp specifications as a new core skill, and how ultra-low latency will reshape human–agent collaboration* Why ideas still matter: transformers, sparsity, RL, hardware, systems — scaling wasn't blind; the pieces had to multiply togetherShow Notes:* Gemma 3 Paper* Gemma 3* Gemini 2.5 Report* Jeff Dean's “Software Engineering Advice fromBuilding Large-Scale Distributed Systems” Presentation (with Back of the Envelope Calculations)* Latency Numbers Every Programmer Should Know by Jeff Dean* The Jeff Dean Facts* Jeff Dean Google Bio* Jeff Dean on “Important AI Trends” @Stanford AI Club* Jeff Dean & Noam Shazeer — 25 years at Google (Dwarkesh)—Jeff Dean* LinkedIn: https://www.linkedin.com/in/jeff-dean-8b212555* X: https://x.com/jeffdeanGoogle* https://google.com* https://deepmind.googleFull Video EpisodeTimestamps00:00:04 — Introduction: Alessio & Swyx welcome Jeff Dean, chief AI scientist at Google, to the Latent Space podcast00:00:30 — Owning the Pareto Frontier & balancing frontier vs low-latency models00:01:31 — Frontier models vs Flash models + role of distillation00:03:52 — History of distillation and its original motivation00:05:09 — Distillation's role in modern model scaling00:07:02 — Model hierarchy (Flash, Pro, Ultra) and distillation sources00:07:46 — Flash model economics & wide deployment00:08:10 — Latency importance for complex tasks00:09:19 — Saturation of some tasks and future frontier tasks00:11:26 — On benchmarks, public vs internal00:12:53 — Example long-context benchmarks & limitations00:15:01 — Long-context goals: attending to trillions of tokens00:16:26 — Realistic use cases beyond pure language00:18:04 — Multimodal reasoning and non-text modalities00:19:05 — Importance of vision & motion modalities00:20:11 — Video understanding example (extracting structured info)00:20:47 — Search ranking analogy for LLM retrieval00:23:08 — LLM representations vs keyword search00:24:06 — Early Google search evolution & in-memory index00:26:47 — Design principles for scalable systems00:28:55 — Real-time index updates & recrawl strategies00:30:06 — Classic “Latency numbers every programmer should know”00:32:09 — Cost of memory vs compute and energy emphasis00:34:33 — TPUs & hardware trade-offs for serving models00:35:57 — TPU design decisions & co-design with ML00:38:06 — Adapting model architecture to hardware00:39:50 — Alternatives: energy-based models, speculative decoding00:42:21 — Open research directions: complex workflows, RL00:44:56 — Non-verifiable RL domains & model evaluation00:46:13 — Transition away from symbolic systems toward unified LLMs00:47:59 — Unified models vs specialized ones00:50:38 — Knowledge vs reasoning & retrieval + reasoning00:52:24 — Vertical model specialization & modules00:55:21 — Token count considerations for vertical domains00:56:09 — Low resource languages & contextual learning00:59:22 — Origins: Dean's early neural network work01:10:07 — AI for coding & human–model interaction styles01:15:52 — Importance of crisp specification for coding agents01:19:23 — Prediction: personalized models & state retrieval01:22:36 — Token-per-second targets (10k+) and reasoning throughput01:23:20 — Episode conclusion and thanksTranscriptAlessio Fanelli [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, founder of Kernel Labs, and I'm joined by Swyx, editor of Latent Space. Shawn Wang [00:00:11]: Hello, hello. We're here in the studio with Jeff Dean, chief AI scientist at Google. Welcome. Thanks for having me. It's a bit surreal to have you in the studio. I've watched so many of your talks, and obviously your career has been super legendary. So, I mean, congrats. I think the first thing must be said, congrats on owning the Pareto Frontier.Jeff Dean [00:00:30]: Thank you, thank you. Pareto Frontiers are good. It's good to be out there.Shawn Wang [00:00:34]: Yeah, I mean, I think it's a combination of both. You have to own the Pareto Frontier. You have to have like frontier capability, but also efficiency, and then offer that range of models that people like to use. And, you know, some part of this was started because of your hardware work. Some part of that is your model work, and I'm sure there's lots of secret sauce that you guys have worked on cumulatively. But, like, it's really impressive to see it all come together in, like, this slittily advanced.Jeff Dean [00:01:04]: Yeah, yeah. I mean, I think, as you say, it's not just one thing. It's like a whole bunch of things up and down the stack. And, you know, all of those really combine to help make UNOS able to make highly capable large models, as well as, you know, software techniques to get those large model capabilities into much smaller, lighter weight models that are, you know, much more cost effective and lower latency, but still, you know, quite capable for their size. Yeah.Alessio Fanelli [00:01:31]: How much pressure do you have on, like, having the lower bound of the Pareto Frontier, too? I think, like, the new labs are always trying to push the top performance frontier because they need to raise more money and all of that. And you guys have billions of users. And I think initially when you worked on the CPU, you were thinking about, you know, if everybody that used Google, we use the voice model for, like, three minutes a day, they were like, you need to double your CPU number. Like, what's that discussion today at Google? Like, how do you prioritize frontier versus, like, we have to do this? How do we actually need to deploy it if we build it?Jeff Dean [00:02:03]: Yeah, I mean, I think we always want to have models that are at the frontier or pushing the frontier because I think that's where you see what capabilities now exist that didn't exist at the sort of slightly less capable last year's version or last six months ago version. At the same time, you know, we know those are going to be really useful for a bunch of use cases, but they're going to be a bit slower and a bit more expensive than people might like for a bunch of other broader models. So I think what we want to do is always have kind of a highly capable sort of affordable model that enables a whole bunch of, you know, lower latency use cases. People can use them for agentic coding much more readily and then have the high-end, you know, frontier model that is really useful for, you know, deep reasoning, you know, solving really complicated math problems, those kinds of things. And it's not that. One or the other is useful. They're both useful. So I think we'd like to do both. And also, you know, through distillation, which is a key technique for making the smaller models more capable, you know, you have to have the frontier model in order to then distill it into your smaller model. So it's not like an either or choice. You sort of need that in order to actually get a highly capable, more modest size model. Yeah.Alessio Fanelli [00:03:24]: I mean, you and Jeffrey came up with the solution in 2014.Jeff Dean [00:03:28]: Don't forget, L'Oreal Vinyls as well. Yeah, yeah.Alessio Fanelli [00:03:30]: A long time ago. But like, I'm curious how you think about the cycle of these ideas, even like, you know, sparse models and, you know, how do you reevaluate them? How do you think about in the next generation of model, what is worth revisiting? Like, yeah, they're just kind of like, you know, you worked on so many ideas that end up being influential, but like in the moment, they might not feel that way necessarily. Yeah.Jeff Dean [00:03:52]: I mean, I think distillation was originally motivated because we were seeing that we had a very large image data set at the time, you know, 300 million images that we could train on. And we were seeing that if you create specialists for different subsets of those image categories, you know, this one's going to be really good at sort of mammals, and this one's going to be really good at sort of indoor room scenes or whatever, and you can cluster those categories and train on an enriched stream of data after you do pre-training on a much broader set of images. You get much better performance. If you then treat that whole set of maybe 50 models you've trained as a large ensemble, but that's not a very practical thing to serve, right? So distillation really came about from the idea of, okay, what if we want to actually serve that and train all these independent sort of expert models and then squish it into something that actually fits in a form factor that you can actually serve? And that's, you know, not that different from what we're doing today. You know, often today we're instead of having an ensemble of 50 models. We're having a much larger scale model that we then distill into a much smaller scale model.Shawn Wang [00:05:09]: Yeah. A part of me also wonders if distillation also has a story with the RL revolution. So let me maybe try to articulate what I mean by that, which is you can, RL basically spikes models in a certain part of the distribution. And then you have to sort of, well, you can spike models, but usually sometimes... It might be lossy in other areas and it's kind of like an uneven technique, but you can probably distill it back and you can, I think that the sort of general dream is to be able to advance capabilities without regressing on anything else. And I think like that, that whole capability merging without loss, I feel like it's like, you know, some part of that should be a distillation process, but I can't quite articulate it. I haven't seen much papers about it.Jeff Dean [00:06:01]: Yeah, I mean, I tend to think of one of the key advantages of distillation is that you can have a much smaller model and you can have a very large, you know, training data set and you can get utility out of making many passes over that data set because you're now getting the logits from the much larger model in order to sort of coax the right behavior out of the smaller model that you wouldn't otherwise get with just the hard labels. And so, you know, I think that's what we've observed. Is you can get, you know, very close to your largest model performance with distillation approaches. And that seems to be, you know, a nice sweet spot for a lot of people because it enables us to kind of, for multiple Gemini generations now, we've been able to make the sort of flash version of the next generation as good or even substantially better than the previous generations pro. And I think we're going to keep trying to do that because that seems like a good trend to follow.Shawn Wang [00:07:02]: So, Dara asked, so it was the original map was Flash Pro and Ultra. Are you just sitting on Ultra and distilling from that? Is that like the mother load?Jeff Dean [00:07:12]: I mean, we have a lot of different kinds of models. Some are internal ones that are not necessarily meant to be released or served. Some are, you know, our pro scale model and we can distill from that as well into our Flash scale model. So I think, you know, it's an important set of capabilities to have and also inference time scaling. It can also be a useful thing to improve the capabilities of the model.Shawn Wang [00:07:35]: And yeah, yeah, cool. Yeah. And obviously, I think the economy of Flash is what led to the total dominance. I think the latest number is like 50 trillion tokens. I don't know. I mean, obviously, it's changing every day.Jeff Dean [00:07:46]: Yeah, yeah. But, you know, by market share, hopefully up.Shawn Wang [00:07:50]: No, I mean, there's no I mean, there's just the economics wise, like because Flash is so economical, like you can use it for everything. Like it's in Gmail now. It's in YouTube. Like it's yeah. It's in everything.Jeff Dean [00:08:02]: We're using it more in our search products of various AI mode reviews.Shawn Wang [00:08:05]: Oh, my God. Flash past the AI mode. Oh, my God. Yeah, that's yeah, I didn't even think about that.Jeff Dean [00:08:10]: I mean, I think one of the things that is quite nice about the Flash model is not only is it more affordable, it's also a lower latency. And I think latency is actually a pretty important characteristic for these models because we're going to want models to do much more complicated things that are going to involve, you know, generating many more tokens from when you ask the model to do so. So, you know, if you're going to ask the model to do something until it actually finishes what you ask it to do, because you're going to ask now, not just write me a for loop, but like write me a whole software package to do X or Y or Z. And so having low latency systems that can do that seems really important. And Flash is one direction, one way of doing that. You know, obviously our hardware platforms enable a bunch of interesting aspects of our, you know, serving stack as well, like TPUs, the interconnect between. Chips on the TPUs is actually quite, quite high performance and quite amenable to, for example, long context kind of attention operations, you know, having sparse models with lots of experts. These kinds of things really, really matter a lot in terms of how do you make them servable at scale.Alessio Fanelli [00:09:19]: Yeah. Does it feel like there's some breaking point for like the proto Flash distillation, kind of like one generation delayed? I almost think about almost like the capability as a. In certain tasks, like the pro model today is a saturated, some sort of task. So next generation, that same task will be saturated at the Flash price point. And I think for most of the things that people use models for at some point, the Flash model in two generation will be able to do basically everything. And how do you make it economical to like keep pushing the pro frontier when a lot of the population will be okay with the Flash model? I'm curious how you think about that.Jeff Dean [00:09:59]: I mean, I think that's true. If your distribution of what people are asking people, the models to do is stationary, right? But I think what often happens is as the models become more capable, people ask them to do more, right? So, I mean, I think this happens in my own usage. Like I used to try our models a year ago for some sort of coding task, and it was okay at some simpler things, but wouldn't do work very well for more complicated things. And since then, we've improved dramatically on the more complicated coding tasks. And now I'll ask it to do much more complicated things. And I think that's true, not just of coding, but of, you know, now, you know, can you analyze all the, you know, renewable energy deployments in the world and give me a report on solar panel deployment or whatever. That's a very complicated, you know, more complicated task than people would have asked a year ago. And so you are going to want more capable models to push the frontier in the absence of what people ask the models to do. And that also then gives us. Insight into, okay, where does the, where do things break down? How can we improve the model in these, these particular areas, uh, in order to sort of, um, make the next generation even better.Alessio Fanelli [00:11:11]: Yeah. Are there any benchmarks or like test sets they use internally? Because it's almost like the same benchmarks get reported every time. And it's like, all right, it's like 99 instead of 97. Like, how do you have to keep pushing the team internally to it? Or like, this is what we're building towards. Yeah.Jeff Dean [00:11:26]: I mean, I think. Benchmarks, particularly external ones that are publicly available. Have their utility, but they often kind of have a lifespan of utility where they're introduced and maybe they're quite hard for current models. You know, I, I like to think of the best kinds of benchmarks are ones where the initial scores are like 10 to 20 or 30%, maybe, but not higher. And then you can sort of work on improving that capability for, uh, whatever it is, the benchmark is trying to assess and get it up to like 80, 90%, whatever. I, I think once it hits kind of 95% or something, you get very diminishing returns from really focusing on that benchmark, cuz it's sort of, it's either the case that you've now achieved that capability, or there's also the issue of leakage in public data or very related kind of data being, being in your training data. Um, so we have a bunch of held out internal benchmarks that we really look at where we know that wasn't represented in the training data at all. There are capabilities that we want the model to have. Um, yeah. Yeah. Um, that it doesn't have now, and then we can work on, you know, assessing, you know, how do we make the model better at these kinds of things? Is it, we need different kind of data to train on that's more specialized for this particular kind of task. Do we need, um, you know, a bunch of, uh, you know, architectural improvements or some sort of, uh, model capability improvements, you know, what would help make that better?Shawn Wang [00:12:53]: Is there, is there such an example that you, uh, a benchmark inspired in architectural improvement? Like, uh, I'm just kind of. Jumping on that because you just.Jeff Dean [00:13:02]: Uh, I mean, I think some of the long context capability of the, of the Gemini models that came, I guess, first in 1.5 really were about looking at, okay, we want to have, um, you know,Shawn Wang [00:13:15]: immediately everyone jumped to like completely green charts of like, everyone had, I was like, how did everyone crack this at the same time? Right. Yeah. Yeah.Jeff Dean [00:13:23]: I mean, I think, um, and once you're set, I mean, as you say that needed single needle and a half. Hey, stack benchmark is really saturated for at least context links up to 1, 2 and K or something. Don't actually have, you know, much larger than 1, 2 and 8 K these days or two or something. We're trying to push the frontier of 1 million or 2 million context, which is good because I think there are a lot of use cases where. Yeah. You know, putting a thousand pages of text or putting, you know, multiple hour long videos and the context and then actually being able to make use of that as useful. Try to, to explore the über graduation are fairly large. But the single needle in a haystack benchmark is sort of saturated. So you really want more complicated, sort of multi-needle or more realistic, take all this content and produce this kind of answer from a long context that sort of better assesses what it is people really want to do with long context. Which is not just, you know, can you tell me the product number for this particular thing?Shawn Wang [00:14:31]: Yeah, it's retrieval. It's retrieval within machine learning. It's interesting because I think the more meta level I'm trying to operate at here is you have a benchmark. You're like, okay, I see the architectural thing I need to do in order to go fix that. But should you do it? Because sometimes that's an inductive bias, basically. It's what Jason Wei, who used to work at Google, would say. Exactly the kind of thing. Yeah, you're going to win. Short term. Longer term, I don't know if that's going to scale. You might have to undo that.Jeff Dean [00:15:01]: I mean, I like to sort of not focus on exactly what solution we're going to derive, but what capability would you want? And I think we're very convinced that, you know, long context is useful, but it's way too short today. Right? Like, I think what you would really want is, can I attend to the internet while I answer my question? Right? But that's not going to happen. I think that's going to be solved by purely scaling the existing solutions, which are quadratic. So a million tokens kind of pushes what you can do. You're not going to do that to a trillion tokens, let alone, you know, a billion tokens, let alone a trillion. But I think if you could give the illusion that you can attend to trillions of tokens, that would be amazing. You'd find all kinds of uses for that. You would have attend to the internet. You could attend to the pixels of YouTube and the sort of deeper representations that we can find. You could attend to the form for a single video, but across many videos, you know, on a personal Gemini level, you could attend to all of your personal state with your permission. So like your emails, your photos, your docs, your plane tickets you have. I think that would be really, really useful. And the question is, how do you get algorithmic improvements and system level improvements that get you to something where you actually can attend to trillions of tokens? Right. In a meaningful way. Yeah.Shawn Wang [00:16:26]: But by the way, I think I did some math and it's like, if you spoke all day, every day for eight hours a day, you only generate a maximum of like a hundred K tokens, which like very comfortably fits.Jeff Dean [00:16:38]: Right. But if you then say, okay, I want to be able to understand everything people are putting on videos.Shawn Wang [00:16:46]: Well, also, I think that the classic example is you start going beyond language into like proteins and whatever else is extremely information dense. Yeah. Yeah.Jeff Dean [00:16:55]: I mean, I think one of the things about Gemini's multimodal aspects is we've always wanted it to be multimodal from the start. And so, you know, that sometimes to people means text and images and video sort of human-like and audio, audio, human-like modalities. But I think it's also really useful to have Gemini know about non-human modalities. Yeah. Like LIDAR sensor data from. Yes. Say, Waymo vehicles or. Like robots or, you know, various kinds of health modalities, x-rays and MRIs and imaging and genomics information. And I think there's probably hundreds of modalities of data where you'd like the model to be able to at least be exposed to the fact that this is an interesting modality and has certain meaning in the world. Where even if you haven't trained on all the LIDAR data or MRI data, you could have, because maybe that's not, you know, it doesn't make sense in terms of trade-offs of. You know, what you include in your main pre-training data mix, at least including a little bit of it is actually quite useful. Yeah. Because it sort of tempts the model that this is a thing.Shawn Wang [00:18:04]: Yeah. Do you believe, I mean, since we're on this topic and something I just get to ask you all the questions I always wanted to ask, which is fantastic. Like, are there some king modalities, like modalities that supersede all the other modalities? So a simple example was Vision can, on a pixel level, encode text. And DeepSeq had this DeepSeq CR paper that did that. Vision. And Vision has also been shown to maybe incorporate audio because you can do audio spectrograms and that's, that's also like a Vision capable thing. Like, so, so maybe Vision is just the king modality and like. Yeah.Jeff Dean [00:18:36]: I mean, Vision and Motion are quite important things, right? Motion. Well, like video as opposed to static images, because I mean, there's a reason evolution has evolved eyes like 23 independent ways, because it's such a useful capability for sensing the world around you, which is really what we want these models to be. So I think the only thing that we can be able to do is interpret the things we're seeing or the things we're paying attention to and then help us in using that information to do things. Yeah.Shawn Wang [00:19:05]: I think motion, you know, I still want to shout out, I think Gemini, still the only native video understanding model that's out there. So I use it for YouTube all the time. Nice.Jeff Dean [00:19:15]: Yeah. Yeah. I mean, it's actually, I think people kind of are not necessarily aware of what the Gemini models can actually do. Yeah. Like I have an example I've used in one of my talks. It had like, it was like a YouTube highlight video of 18 memorable sports moments across the last 20 years or something. So it has like Michael Jordan hitting some jump shot at the end of the finals and, you know, some soccer goals and things like that. And you can literally just give it the video and say, can you please make me a table of what all these different events are? What when the date is when they happened? And a short description. And so you get like now an 18 row table of that information extracted from the video, which is, you know, not something most people think of as like a turn video into sequel like table.Alessio Fanelli [00:20:11]: Has there been any discussion inside of Google of like, you mentioned tending to the whole internet, right? Google, it's almost built because a human cannot tend to the whole internet and you need some sort of ranking to find what you need. Yep. That ranking is like much different for an LLM because you can expect a person to look at maybe the first five, six links in a Google search versus for an LLM. Should you expect to have 20 links that are highly relevant? Like how do you internally figure out, you know, how do we build the AI mode that is like maybe like much broader search and span versus like the more human one? Yeah.Jeff Dean [00:20:47]: I mean, I think even pre-language model based work, you know, our ranking systems would be built to start. I mean, I think even pre-language model based work, you know, our ranking systems would be built to start. With a giant number of web pages in our index, many of them are not relevant. So you identify a subset of them that are relevant with very lightweight kinds of methods. You know, you're down to like 30,000 documents or something. And then you gradually refine that to apply more and more sophisticated algorithms and more and more sophisticated sort of signals of various kinds in order to get down to ultimately what you show, which is, you know, the final 10 results or, you know, 10 results plus. Other kinds of information. And I think an LLM based system is not going to be that dissimilar, right? You're going to attend to trillions of tokens, but you're going to want to identify, you know, what are the 30,000 ish documents that are with the, you know, maybe 30 million interesting tokens. And then how do you go from that into what are the 117 documents I really should be paying attention to in order to carry out the tasks that the user has asked? And I think, you know, you can imagine systems where you have, you know, a lot of highly parallel processing to identify those initial 30,000 candidates, maybe with very lightweight kinds of models. Then you have some system that sort of helps you narrow down from 30,000 to the 117 with maybe a little bit more sophisticated model or set of models. And then maybe the final model is the thing that looks. So the 117 things that might be your most capable model. So I think it has to, it's going to be some system like that, that is really enables you to give the illusion of attending to trillions of tokens. Sort of the way Google search gives you, you know, not the illusion, but you are searching the internet, but you're finding, you know, a very small subset of things that are, that are relevant.Shawn Wang [00:22:47]: Yeah. I often tell a lot of people that are not steeped in like Google search history that, well, you know, like Bert was. Like he was like basically immediately inside of Google search and that improves results a lot, right? Like I don't, I don't have any numbers off the top of my head, but like, I'm sure you guys, that's obviously the most important numbers to Google. Yeah.Jeff Dean [00:23:08]: I mean, I think going to an LLM based representation of text and words and so on enables you to get out of the explicit hard notion of, of particular words having to be on the page, but really getting at the notion of this topic of this page or this page. Paragraph is highly relevant to this query. Yeah.Shawn Wang [00:23:28]: I don't think people understand how much LLMs have taken over all these very high traffic system, very high traffic. Yeah. Like it's Google, it's YouTube. YouTube has this like semantics ID thing where it's just like every token or every item in the vocab is a YouTube video or something that predicts the video using a code book, which is absurd to me for YouTube size.Jeff Dean [00:23:50]: And then most recently GROK also for, for XAI, which is like, yeah. I mean, I'll call out even before LLMs were used extensively in search, we put a lot of emphasis on softening the notion of what the user actually entered into the query.Shawn Wang [00:24:06]: So do you have like a history of like, what's the progression? Oh yeah.Jeff Dean [00:24:09]: I mean, I actually gave a talk in, uh, I guess, uh, web search and data mining conference in 2009, uh, where we never actually published any papers about the origins of Google search, uh, sort of, but we went through sort of four or five or six. generations, four or five or six generations of, uh, redesigning of the search and retrieval system, uh, from about 1999 through 2004 or five. And that talk is really about that evolution. And one of the things that really happened in 2001 was we were sort of working to scale the system in multiple dimensions. So one is we wanted to make our index bigger, so we could retrieve from a larger index, which always helps your quality in general. Uh, because if you don't have the page in your index, you're going to not do well. Um, and then we also needed to scale our capacity because we were, our traffic was growing quite extensively. Um, and so we had, you know, a sharded system where you have more and more shards as the index grows, you have like 30 shards. And then if you want to double the index size, you make 60 shards so that you can bound the latency by which you respond for any particular user query. Um, and then as traffic grows, you add, you add more and more replicas of each of those. And so we eventually did the math that realized that in a data center where we had say 60 shards and, um, you know, 20 copies of each shard, we now had 1200 machines, uh, with disks. And we did the math and we're like, Hey, one copy of that index would actually fit in memory across 1200 machines. So in 2001, we introduced, uh, we put our entire index in memory and what that enabled from a quality perspective was amazing. Um, and so we had more and more replicas of each of those. Before you had to be really careful about, you know, how many different terms you looked at for a query, because every one of them would involve a disk seek on every one of the 60 shards. And so you, as you make your index bigger, that becomes even more inefficient. But once you have the whole index in memory, it's totally fine to have 50 terms you throw into the query from the user's original three or four word query, because now you can add synonyms like restaurant and restaurants and cafe and, uh, you know, things like that. Uh, bistro and all these things. And you can suddenly start, uh, sort of really, uh, getting at the meaning of the word as opposed to the exact semantic form the user typed in. And that was, you know, 2001, very much pre LLM, but really it was about softening the, the strict definition of what the user typed in order to get at the meaning.Alessio Fanelli [00:26:47]: What are like principles that you use to like design the systems, especially when you have, I mean, in 2001, the internet is like. Doubling, tripling every year in size is not like, uh, you know, and I think today you kind of see that with LLMs too, where like every year the jumps in size and like capabilities are just so big. Are there just any, you know, principles that you use to like, think about this? Yeah.Jeff Dean [00:27:08]: I mean, I think, uh, you know, first, whenever you're designing a system, you want to understand what are the sort of design parameters that are going to be most important in designing that, you know? So, you know, how many queries per second do you need to handle? How big is the internet? How big is the index you need to handle? How much data do you need to keep for every document in the index? How are you going to look at it when you retrieve things? Um, what happens if traffic were to double or triple, you know, will that system work well? And I think a good design principle is you're going to want to design a system so that the most important characteristics could scale by like factors of five or 10, but probably not beyond that because often what happens is if you design a system for X. And something suddenly becomes a hundred X, that would enable a very different point in the design space that would not make sense at X. But all of a sudden at a hundred X makes total sense. So like going from a disk space index to a in memory index makes a lot of sense once you have enough traffic, because now you have enough replicas of the sort of state on disk that those machines now actually can hold, uh, you know, a full copy of the, uh, index and memory. Yeah. And that all of a sudden enabled. A completely different design that wouldn't have been practical before. Yeah. Um, so I'm, I'm a big fan of thinking through designs in your head, just kind of playing with the design space a little before you actually do a lot of writing of code. But, you know, as you said, in the early days of Google, we were growing the index, uh, quite extensively. We were growing the update rate of the index. So the update rate actually is the parameter that changed the most. Surprising. So it used to be once a month.Shawn Wang [00:28:55]: Yeah.Jeff Dean [00:28:56]: And then we went to a system that could update any particular page in like sub one minute. Okay.Shawn Wang [00:29:02]: Yeah. Because this is a competitive advantage, right?Jeff Dean [00:29:04]: Because all of a sudden news related queries, you know, if you're, if you've got last month's news index, it's not actually that useful for.Shawn Wang [00:29:11]: News is a special beast. Was there any, like you could have split it onto a separate system.Jeff Dean [00:29:15]: Well, we did. We launched a Google news product, but you also want news related queries that people type into the main index to also be sort of updated.Shawn Wang [00:29:23]: So, yeah, it's interesting. And then you have to like classify whether the page is, you have to decide which pages should be updated and what frequency. Oh yeah.Jeff Dean [00:29:30]: There's a whole like, uh, system behind the scenes that's trying to decide update rates and importance of the pages. So even if the update rate seems low, you might still want to recrawl important pages quite often because, uh, the likelihood they change might be low, but the value of having updated is high.Shawn Wang [00:29:50]: Yeah, yeah, yeah, yeah. Uh, well, you know, yeah. This, uh, you know, mention of latency and, and saving things to this reminds me of one of your classics, which I have to bring up, which is latency numbers. Every programmer should know, uh, was there a, was it just a, just a general story behind that? Did you like just write it down?Jeff Dean [00:30:06]: I mean, this has like sort of eight or 10 different kinds of metrics that are like, how long does a cache mistake? How long does branch mispredict take? How long does a reference domain memory take? How long does it take to send, you know, a packet from the U S to the Netherlands or something? Um,Shawn Wang [00:30:21]: why Netherlands, by the way, or is it, is that because of Chrome?Jeff Dean [00:30:25]: Uh, we had a data center in the Netherlands, um, so, I mean, I think this gets to the point of being able to do the back of the envelope calculations. So these are sort of the raw ingredients of those, and you can use them to say, okay, well, if I need to design a system to do image search and thumb nailing or something of the result page, you know, how, what I do that I could pre-compute the image thumbnails. I could like. Try to thumbnail them on the fly from the larger images. What would that do? How much dis bandwidth than I need? How many des seeks would I do? Um, and you can sort of actually do thought experiments in, you know, 30 seconds or a minute with the sort of, uh, basic, uh, basic numbers at your fingertips. Uh, and then as you sort of build software using higher level libraries, you kind of want to develop the same intuitions for how long does it take to, you know, look up something in this particular kind of.Shawn Wang [00:31:21]: I'll see you next time.Shawn Wang [00:31:51]: Which is a simple byte conversion. That's nothing interesting. I wonder if you have any, if you were to update your...Jeff Dean [00:31:58]: I mean, I think it's really good to think about calculations you're doing in a model, either for training or inference.Jeff Dean [00:32:09]: Often a good way to view that is how much state will you need to bring in from memory, either like on-chip SRAM or HBM from the accelerator. Attached memory or DRAM or over the network. And then how expensive is that data motion relative to the cost of, say, an actual multiply in the matrix multiply unit? And that cost is actually really, really low, right? Because it's order, depending on your precision, I think it's like sub one picodule.Shawn Wang [00:32:50]: Oh, okay. You measure it by energy. Yeah. Yeah.Jeff Dean [00:32:52]: Yeah. I mean, it's all going to be about energy and how do you make the most energy efficient system. And then moving data from the SRAM on the other side of the chip, not even off the off chip, but on the other side of the same chip can be, you know, a thousand picodules. Oh, yeah. And so all of a sudden, this is why your accelerators require batching. Because if you move, like, say, the parameter of a model from SRAM on the, on the chip into the multiplier unit, that's going to cost you a thousand picodules. So you better make use of that, that thing that you moved many, many times with. So that's where the batch dimension comes in. Because all of a sudden, you know, if you have a batch of 256 or something, that's not so bad. But if you have a batch of one, that's really not good.Shawn Wang [00:33:40]: Yeah. Yeah. Right.Jeff Dean [00:33:41]: Because then you paid a thousand picodules in order to do your one picodule multiply.Shawn Wang [00:33:46]: I have never heard an energy-based analysis of batching.Jeff Dean [00:33:50]: Yeah. I mean, that's why people batch. Yeah. Ideally, you'd like to use batch size one because the latency would be great.Shawn Wang [00:33:56]: The best latency.Jeff Dean [00:33:56]: But the energy cost and the compute cost inefficiency that you get is quite large. So, yeah.Shawn Wang [00:34:04]: Is there a similar trick like, like, like you did with, you know, putting everything in memory? Like, you know, I think obviously NVIDIA has caused a lot of waves with betting very hard on SRAM with Grok. I wonder if, like, that's something that you already saw with, with the TPUs, right? Like that, that you had to. Uh, to serve at your scale, uh, you probably sort of saw that coming. Like what, what, what hardware, uh, innovations or insights were formed because of what you're seeing there?Jeff Dean [00:34:33]: Yeah. I mean, I think, you know, TPUs have this nice, uh, sort of regular structure of 2D or 3D meshes with a bunch of chips connected. Yeah. And each one of those has HBM attached. Um, I think for serving some kinds of models, uh, you know, you, you pay a lot higher cost. Uh, and time latency, um, bringing things in from HBM than you do bringing them in from, uh, SRAM on the chip. So if you have a small enough model, you can actually do model parallelism, spread it out over lots of chips and you actually get quite good throughput improvements and latency improvements from doing that. And so you're now sort of striping your smallish scale model over say 16 or 64 chips. Uh, but as if you do that and it all fits in. In SRAM, uh, that can be a big win. So yeah, that's not a surprise, but it is a good technique.Alessio Fanelli [00:35:27]: Yeah. What about the TPU design? Like how much do you decide where the improvements have to go? So like, this is like a good example of like, is there a way to bring the thousand picojoules down to 50? Like, is it worth designing a new chip to do that? The extreme is like when people say, oh, you should burn the model on the ASIC and that's kind of like the most extreme thing. How much of it? Is it worth doing an hardware when things change so quickly? Like what was the internal discussion? Yeah.Jeff Dean [00:35:57]: I mean, we, we have a lot of interaction between say the TPU chip design architecture team and the sort of higher level modeling, uh, experts, because you really want to take advantage of being able to co-design what should future TPUs look like based on where we think the sort of ML research puck is going, uh, in some sense, because, uh, you know, as a hardware designer for ML and in particular, you're trying to design a chip starting today and that design might take two years before it even lands in a data center. And then it has to sort of be a reasonable lifetime of the chip to take you three, four or five years. So you're trying to predict two to six years out where, what ML computations will people want to run two to six years out in a very fast changing field. And so having people with interest. Interesting ML research ideas of things we think will start to work in that timeframe or will be more important in that timeframe, uh, really enables us to then get, you know, interesting hardware features put into, you know, TPU N plus two, where TPU N is what we have today.Shawn Wang [00:37:10]: Oh, the cycle time is plus two.Jeff Dean [00:37:12]: Roughly. Wow. Because, uh, I mean, sometimes you can squeeze some changes into N plus one, but, you know, bigger changes are going to require the chip. Yeah. Design be earlier in its lifetime design process. Um, so whenever we can do that, it's generally good. And sometimes you can put in speculative features that maybe won't cost you much chip area, but if it works out, it would make something, you know, 10 times as fast. And if it doesn't work out, well, you burned a little bit of tiny amount of your chip area on that thing, but it's not that big a deal. Uh, sometimes it's a very big change and we want to be pretty sure this is going to work out. So we'll do like lots of carefulness. Uh, ML experimentation to show us, uh, this is actually the, the way we want to go. Yeah.Alessio Fanelli [00:37:58]: Is there a reverse of like, we already committed to this chip design so we can not take the model architecture that way because it doesn't quite fit?Jeff Dean [00:38:06]: Yeah. I mean, you, you definitely have things where you're going to adapt what the model architecture looks like so that they're efficient on the chips that you're going to have for both training and inference of that, of that, uh, generation of model. So I think it kind of goes both ways. Um, you know, sometimes you can take advantage of, you know, lower precision things that are coming in a future generation. So you can, might train it at that lower precision, even if the current generation doesn't quite do that. Mm.Shawn Wang [00:38:40]: Yeah. How low can we go in precision?Jeff Dean [00:38:43]: Because people are saying like ternary is like, uh, yeah, I mean, I'm a big fan of very low precision because I think that gets, that saves you a tremendous amount of time. Right. Because it's picojoules per bit that you're transferring and reducing the number of bits is a really good way to, to reduce that. Um, you know, I think people have gotten a lot of luck, uh, mileage out of having very low bit precision things, but then having scaling factors that apply to a whole bunch of, uh, those, those weights. Scaling. How does it, how does it, okay.Shawn Wang [00:39:15]: Interesting. You, so low, low precision, but scaled up weights. Yeah. Huh. Yeah. Never considered that. Yeah. Interesting. Uh, w w while we're on this topic, you know, I think there's a lot of, um, uh, this, the concept of precision at all is weird when we're sampling, you know, uh, we just, at the end of this, we're going to have all these like chips that I'll do like very good math. And then we're just going to throw a random number generator at the start. So, I mean, there's a movement towards, uh, energy based, uh, models and processors. I'm just curious if you've, obviously you've thought about it, but like, what's your commentary?Jeff Dean [00:39:50]: Yeah. I mean, I think. There's a bunch of interesting trends though. Energy based models is one, you know, diffusion based models, which don't sort of sequentially decode tokens is another, um, you know, speculative decoding is a way that you can get sort of an equivalent, very small.Shawn Wang [00:40:06]: Draft.Jeff Dean [00:40:07]: Batch factor, uh, for like you predict eight tokens out and that enables you to sort of increase the effective batch size of what you're doing by a factor of eight, even, and then you maybe accept five or six of those tokens. So you get. A five, a five X improvement in the amortization of moving weights, uh, into the multipliers to do the prediction for the, the tokens. So these are all really good techniques and I think it's really good to look at them from the lens of, uh, energy, real energy, not energy based models, um, and, and also latency and throughput, right? If you look at things from that lens, that sort of guides you to. Two solutions that are gonna be, uh, you know, better from, uh, you know, being able to serve larger models or, you know, equivalent size models more cheaply and with lower latency.Shawn Wang [00:41:03]: Yeah. Well, I think, I think I, um, it's appealing intellectually, uh, haven't seen it like really hit the mainstream, but, um, I do think that, uh, there's some poetry in the sense that, uh, you know, we don't have to do, uh, a lot of shenanigans if like we fundamentally. Design it into the hardware. Yeah, yeah.Jeff Dean [00:41:23]: I mean, I think there's still a, there's also sort of the more exotic things like analog based, uh, uh, computing substrates as opposed to digital ones. Uh, I'm, you know, I think those are super interesting cause they can be potentially low power. Uh, but I think you often end up wanting to interface that with digital systems and you end up losing a lot of the power advantages in the digital to analog and analog to digital conversions. You end up doing, uh, at the sort of boundaries. And periphery of that system. Um, I still think there's a tremendous distance we can go from where we are today in terms of energy efficiency with sort of, uh, much better and specialized hardware for the models we care about.Shawn Wang [00:42:05]: Yeah.Alessio Fanelli [00:42:06]: Um, any other interesting research ideas that you've seen, or like maybe things that you cannot pursue a Google that you would be interested in seeing researchers take a step at, I guess you have a lot of researchers. Yeah, I guess you have enough, but our, our research.Jeff Dean [00:42:21]: Our research portfolio is pretty broad. I would say, um, I mean, I think, uh, in terms of research directions, there's a whole bunch of, uh, you know, open problems and how do you make these models reliable and able to do much longer, kind of, uh, more complex tasks that have lots of subtasks. How do you orchestrate, you know, maybe one model that's using other models as tools in order to sort of build, uh, things that can accomplish, uh, you know, much more. Yeah. Significant pieces of work, uh, collectively, then you would ask a single model to do. Um, so that's super interesting. How do you get more verifiable, uh, you know, how do you get RL to work for non-verifiable domains? I think it's a pretty interesting open problem because I think that would broaden out the capabilities of the models, the improvements that you're seeing in both math and coding. Uh, if we could apply those to other less verifiable domains, because we've come up with RL techniques that actually enable us to do that. Uh, effectively, that would, that would really make the models improve quite a lot. I think.Alessio Fanelli [00:43:26]: I'm curious, like when we had Noam Brown on the podcast, he said, um, they already proved you can do it with deep research. Um, you kind of have it with AI mode in a way it's not verifiable. I'm curious if there's any thread that you think is interesting there. Like what is it? Both are like information retrieval of JSON. So I wonder if it's like the retrieval is like the verifiable part. That you can score or what are like, yeah, yeah. How, how would you model that, that problem?Jeff Dean [00:43:55]: Yeah. I mean, I think there are ways of having other models that can evaluate the results of what a first model did, maybe even retrieving. Can you have another model that says, is this things, are these things you retrieved relevant? Or can you rate these 2000 things you retrieved to assess which ones are the 50 most relevant or something? Um, I think those kinds of techniques are actually quite effective. Sometimes I can even be the same model, just prompted differently to be a, you know, a critic as opposed to a, uh, actual retrieval system. Yeah.Shawn Wang [00:44:28]: Um, I do think like there, there is that, that weird cliff where like, it feels like we've done the easy stuff and then now it's, but it always feels like that every year. It's like, oh, like we know, we know, and the next part is super hard and nobody's figured it out. And, uh, exactly with this RLVR thing where like everyone's talking about, well, okay, how do we. the next stage of the non-verifiable stuff. And everyone's like, I don't know, you know, Ellen judge.Jeff Dean [00:44:56]: I mean, I feel like the nice thing about this field is there's lots and lots of smart people thinking about creative solutions to some of the problems that we all see. Uh, because I think everyone sort of sees that the models, you know, are great at some things and they fall down around the edges of those things and, and are not as capable as we'd like in those areas. And then coming up with good techniques and trying those. And seeing which ones actually make a difference is sort of what the whole research aspect of this field is, is pushing forward. And I think that's why it's super interesting. You know, if you think about two years ago, we were struggling with GSM, eight K problems, right? Like, you know, Fred has two rabbits. He gets three more rabbits. How many rabbits does he have? That's a pretty far cry from the kinds of mathematics that the models can, and now you're doing IMO and Erdos problems in pure language. Yeah. Yeah. Pure language. So that is a really, really amazing jump in capabilities in, you know, in a year and a half or something. And I think, um, for other areas, it'd be great if we could make that kind of leap. Uh, and you know, we don't exactly see how to do it for some, some areas, but we do see it for some other areas and we're going to work hard on making that better. Yeah.Shawn Wang [00:46:13]: Yeah.Alessio Fanelli [00:46:14]: Like YouTube thumbnail generation. That would be very helpful. We need that. That would be AGI. We need that.Shawn Wang [00:46:20]: That would be. As far as content creators go.Jeff Dean [00:46:22]: I guess I'm not a YouTube creator, so I don't care that much about that problem, but I guess, uh, many people do.Shawn Wang [00:46:27]: It does. Yeah. It doesn't, it doesn't matter. People do judge books by their covers as it turns out. Um, uh, just to draw a bit on the IMO goal. Um, I'm still not over the fact that a year ago we had alpha proof and alpha geometry and all those things. And then this year we were like, screw that we'll just chuck it into Gemini. Yeah. What's your reflection? Like, I think this, this question about. Like the merger of like symbolic systems and like, and, and LMS, uh, was a very much core belief. And then somewhere along the line, people would just said, Nope, we'll just all do it in the LLM.Jeff Dean [00:47:02]: Yeah. I mean, I think it makes a lot of sense to me because, you know, humans manipulate symbols, but we probably don't have like a symbolic representation in our heads. Right. We have some distributed representation that is neural net, like in some way of lots of different neurons. And activation patterns firing when we see certain things and that enables us to reason and plan and, you know, do chains of thought and, you know, roll them back now that, that approach for solving the problem doesn't seem like it's going to work. I'm going to try this one. And, you know, in a lot of ways we're emulating what we intuitively think, uh, is happening inside real brains in neural net based models. So it never made sense to me to have like completely separate. Uh, discrete, uh, symbolic things, and then a completely different way of, of, uh, you know, thinking about those things.Shawn Wang [00:47:59]: Interesting. Yeah. Uh, I mean, it's maybe seems obvious to you, but it wasn't obvious to me a year ago. Yeah.Jeff Dean [00:48:06]: I mean, I do think like that IMO with, you know, translating to lean and using lean and then the next year and also a specialized geometry model. And then this year switching to a single unified model. That is roughly the production model with a little bit more inference budget, uh, is actually, you know, quite good because it shows you that the capabilities of that general model have improved dramatically and, and now you don't need the specialized model. This is actually sort of very similar to the 2013 to 16 era of machine learning, right? Like it used to be, people would train separate models for lots of different, each different problem, right? I have, I want to recognize street signs and something. So I train a street sign. Recognition recognition model, or I want to, you know, decode speech recognition. I have a speech model, right? I think now the era of unified models that do everything is really upon us. And the question is how well do those models generalize to new things they've never been asked to do and they're getting better and better.Shawn Wang [00:49:10]: And you don't need domain experts. Like one of my, uh, so I interviewed ETA who was on, who was on that team. Uh, and he was like, yeah, I, I don't know how they work. I don't know where the IMO competition was held. I don't know the rules of it. I just trained the models, the training models. Yeah. Yeah. And it's kind of interesting that like people with these, this like universal skill set of just like machine learning, you just give them data and give them enough compute and they can kind of tackle any task, which is the bitter lesson, I guess. I don't know. Yeah.Jeff Dean [00:49:39]: I mean, I think, uh, general models, uh, will win out over specialized ones in most cases.Shawn Wang [00:49:45]: Uh, so I want to push there a bit. I think there's one hole here, which is like, uh. There's this concept of like, uh, maybe capacity of a model, like abstractly a model can only contain the number of bits that it has. And, uh, and so it, you know, God knows like Gemini pro is like one to 10 trillion parameters. We don't know, but, uh, the Gemma models, for example, right? Like a lot of people want like the open source local models that are like that, that, that, and, and, uh, they have some knowledge, which is not necessary, right? Like they can't know everything like, like you have the. The luxury of you have the big model and big model should be able to capable of everything. But like when, when you're distilling and you're going down to the small models, you know, you're actually memorizing things that are not useful. Yeah. And so like, how do we, I guess, do we want to extract that? Can we, can we divorce knowledge from reasoning, you know?Jeff Dean [00:50:38]: Yeah. I mean, I think you do want the model to be most effective at reasoning if it can retrieve things, right? Because having the model devote precious parameter space. To remembering obscure facts that could be looked up is actually not the best use of that parameter space, right? Like you might prefer something that is more generally useful in more settings than this obscure fact that it has. Um, so I think that's always attention at the same time. You also don't want your model to be kind of completely detached from, you know, knowing stuff about the world, right? Like it's probably useful to know how long the golden gate be. Bridges just as a general sense of like how long are bridges, right? And, uh, it should have that kind of knowledge. It maybe doesn't need to know how long some teeny little bridge in some other more obscure part of the world is, but, uh, it does help it to have a fair bit of world knowledge and the bigger your model is, the more you can have. Uh, but I do think combining retrieval with sort of reasoning and making the model really good at doing multiple stages of retrieval. Yeah.Shawn Wang [00:51:49]: And reasoning through the intermediate retrieval results is going to be a, a pretty effective way of making the model seem much more capable, because if you think about, say, a personal Gemini, yeah, right?Jeff Dean [00:52:01]: Like we're not going to train Gemini on my email. Probably we'd rather have a single model that, uh, we can then use and use being able to retrieve from my email as a tool and have the model reason about it and retrieve from my photos or whatever, uh, and then make use of that and have multiple. Um, you know, uh, stages of interaction. that makes sense.Alessio Fanelli [00:52:24]: Do you think the vertical models are like, uh, interesting pursuit? Like when people are like, oh, we're building the best healthcare LLM, we're building the best law LLM, are those kind of like short-term stopgaps or?Jeff Dean [00:52:37]: No, I mean, I think, I think vertical models are interesting. Like you want them to start from a pretty good base model, but then you can sort of, uh, sort of viewing them, view them as enriching the data. Data distribution for that particular vertical domain for healthcare, say, um, we're probably not going to train or for say robotics. We're probably not going to train Gemini on all possible robotics data. We, you could train it on because we want it to have a balanced set of capabilities. Um, so we'll expose it to some robotics data, but if you're trying to build a really, really good robotics model, you're going to want to start with that and then train it on more robotics data. And then maybe that would. It's multilingual translation capability, but improve its robotics capabilities. And we're always making these kind of, uh, you know, trade-offs in the data mix that we train the base Gemini models on. You know, we'd love to include data from 200 more languages and as much data as we have for those languages, but that's going to displace some other capabilities of the model. It won't be as good at, um, you know, Pearl programming, you know, it'll still be good at Python programming. Cause we'll include it. Enough. Of that, but there's other long tail computer languages or coding capabilities that it may suffer on or multi, uh, multimodal reasoning capabilities may suffer. Cause we didn't get to expose it to as much data there, but it's really good at multilingual things. So I, I think some combination of specialized models, maybe more modular models. So it'd be nice to have the capability to have those 200 languages, plus this awesome robotics model, plus this awesome healthcare, uh, module that all can be knitted together to work in concert and called upon in different circumstances. Right? Like if I have a health related thing, then it should enable using this health module in conjunction with the main base model to be even better at those kinds of things. Yeah.Shawn Wang [00:54:36]: Installable knowledge. Yeah.Jeff Dean [00:54:37]: Right.Shawn Wang [00:54:38]: Just download as a, as a package.Jeff Dean [00:54:39]: And some of that installable stuff can come from retrieval, but some of it probably should come from preloaded training on, you know, uh, a hundred billion tokens or a trillion tokens of health data. Yeah.Shawn Wang [00:54:51]: And for listeners, I think, uh, I will highlight the Gemma three end paper where they, there was a little bit of that, I think. Yeah.Alessio Fanelli [00:54:56]: Yeah. I guess the question is like, how many billions of tokens do you need to outpace the frontier model improvements? You know, it's like, if I have to make this model better healthcare and the main. Gemini model is still improving. Do I need 50 billion tokens? Can I do it with a hundred, if I need a trillion healthcare tokens, it's like, they're probably not out there that you don't have, you know, I think that's really like the.Jeff Dean [00:55:21]: Well, I mean, I think healthcare is a particularly challenging domain, so there's a lot of healthcare data that, you know, we don't have access to appropriately, but there's a lot of, you know, uh, healthcare organizations that want to train models on their own data. That is not public healthcare data, uh, not public health. But public healthcare data. Um, so I think there are opportunities there to say, partner with a large healthcare organization and train models for their use that are going to be, you know, more bespoke, but probably, uh, might be better than a general model trained on say, public data. Yeah.Shawn Wang [00:55:58]: Yeah. I, I believe, uh, by the way, also this is like somewhat related to the language conversation. Uh, I think one of your, your favorite examples was you can put a low resource language in the context and it just learns. Yeah.Jeff Dean [00:56:09]: Oh, yeah, I think the example we used was Calamon, which is truly low resource because it's only spoken by, I think 120 people in the world and there's no written text.Shawn Wang [00:56:20]: So, yeah. So you can just do it that way. Just put it in the context. Yeah. Yeah. But I think your whole data set in the context, right.Jeff Dean [00:56:27]: If you, if you take a language like, uh, you know, Somali or something, there is a fair bit of Somali text in the world that, uh, or Ethiopian Amharic or something, um, you know, we probably. Yeah. Are not putting all the data from those languages into the Gemini based training. We put some of it, but if you put more of it, you'll improve the capabilities of those models.Shawn Wang [00:56:49]: Yeah.Jeff Dean [00:56:49]:

This week we look to the Olympics and cutting-edge technology already shaping the Games. Security alert: An AI-powered children's toy from Bondu left over 50,000 chat transcripts (including kids' names, ages, personal details, and intimate conversations) completely exposed — accessible to anyone with a Gmail account due to a wide-open web portal. We discuss the massive privacy risks and what parents need to know about AI toys. Practical advice: Should you ever reply "STOP" to unknown or spam text messages? Why it can backfire and the safer ways to block unwanted texts. Plus: Should you store payment info on e-commerce sites? Tips for upscaling and reviving old routers, the best Android-compatible Bluetooth trackers (like Moto Tag, Pebblebee Clip, and Chipolo options for Google's Find Hub network), and picks for the best tech trends shaping 2026. We wrap with the latest tops in streaming to binge-watch! Real-world insights and tips you can use — subscribe and geek out with us every week!

This week on the Roach Koach Podcast we head back again to the year 2003, when nu-metal bands were not sure what to do next and made some strange choices. Lorin and Matt examine the choices made by From Zero on their second and final album, My So-Called Life. Topics this episode include:-We love lists!-Pending candidates for the Genius List-What is for dinner?-Covid vs Hobo Johnson-Nothing more nu-metal than a cover-Guy who saw From Zero at the Hayloft-“Rapunzel, send me your riff”-And Canon Talk, where Lorin and Matt decide if From Zero deserves a spot in the Nu-Metal Canon. Take a listen!The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

The best and worst first issue of January 2026 included fallout from Marvel's One World Under Doom event, the return of X-Force, Rogue going Rogue, Green Lantern going Raw and more! Seek us out under the Field of Geeks umbrella wherever you podcast, YouTube, or www.fieldofgeeks.com. We are also available on Facebook and Gmail under The Number 1 Comics Podcast.  Huge thanks to Raven Xavier for crafting our awesome theme. Check Raven out at https://ravexmusic.bandcamp.com/). #oneworldunderdoom #drdoom #uncannyxmen #xmen #rogue #xforce #cable #hellverine #msmarvel #dcko #greenlantern #ironman #superman #spiderman #amazingspiderman #marvelcomics #dccomics #comicbooks #comics

In this video our experts analyze and educate you on what happened and why with fact based, data based, verified and researched expertise reporting. For free and unbiased Medicare help, dial (656) 218-0931 to speak with my trusted partner, Chapter, or go to https://askchapter.org/nezFULL EPSTEIN PLAYLIST: https://www.youtube.com/playlist?list=PLpTZH0fRT3fASSrymWCJgut0iRhVX-SOnGet Access to Jeffrey Epstein's GMAIL here: https://www.jmail.world/▶ Reach out to me: https://bio.site/professornez▶Support the Channel and Buy us a Coffee: https://buymeacoffee.com/professornez

In Episode 265, Greg and Pam discuss full brains, engineering dilemmas, and knitting superpowers. Many thanks to CreativelyCasey and Goat for the episode introduction! We would love to have YOU record an introduction to the show! You can find details in the Ravelry Group Pages or on our website here. Check out our group on Facebook! We would love to have you join us there. GIVEAWAY: Check out our MONTHLY giveaway just because our listeners are AWESOME! You can enter the monthly giveaway using this Google Form. SUPPORT THE SHOW KnitPicks & Crochet.com We are KnitPicks and Crochet.com (owned by KnitPicks) Affiliates! This means if you are going to shop at KnitPicks or Crochet.com, and start by clicking their names, the Unraveling Podcast will get a small commission at no extra cost to you! It's an easy way to support the podcast passively. (Note: links to specific yarns or products will appear like https://shrsl.com/3xzh0 or https://tidd.ly/4mGsyws. These are correct and are custom links to track our account. They are safe!) Patreon You can financially support Unraveling…a knitting podcast on Patreon! Monthly membership levels are available at Swatch ($1), Shawl ($3), and Sweater ($6) and come with rewards like early access to book club episodes, access to a quarterly Zoom call, discounts on all Knitting Daddy patterns, and holiday cards. Everything available via Patreon is extra, the show remains unchanged and free. Financial support through Patreon helps us cover expenses like web hosting, prizes, prize shipping, and equipment upgrades. ***Our next Patreon & Community Zoom call will be on Saturday, February 28 at 2pm Eastern! All are welcome! Links will be posted in Patreon, Ravelry, and Facebook or email us if you need it.*** NOTES Greg's Projects Greg finished socks using the Fish Lips Kiss Heel pattern and String Theory Colorworks yarn in the Tau Lepton colorway. Greg finished socks using the Fish Lips Kiss Heel pattern and String Theory Colorworks yarn in the Dark Matter colorway. Greg is making up a hat in Leading Men Fiber Arts yarn, using Doodle Card Decks by Pacific Yarn Co. Pam's Projects Pam is working a pair of Fish Lips Kiss Heel Socks. She is using String Theory Colorworks yarn in the displacement base and the colorway Black Body Radiation. Pam worked on a thermal stitch crochet potholder using KnitPicks Dishie. She uses these wooden rings in 35mm. Pam uses the pattern/recipe from My Crochet Space. The written directions can be found here and the Youtube tutorial can be found here. Pam worked on Sun Salutation by Celia McAdam Cahill. She is using KnitPicks Gloss and Trailhead Yarns Cabot Trail. Pam worked on the Winding Road Scarf by Tetiana Otruta. She using yarn from Knitting Notions. Pam worked on (but forgot to talk about) Regular Guy Beanie by Chuck Wright using Fibra Natura Lima (the blue yarn). Pam started a Melt the Ice Hat by Paul S. Neary. She is using Patons Kroy Socks Fx in Geranium Colors, held double. Miscellaneous We mentioned PAKnitWit's new cowl pattern Mosaika and kbamr's new Advent Along KAL. martaschmarta mentioned a weaving in ends as you go technique by Ann Bourgeois. It is about 16 minutes in on this video. We talked about a couple of movies and TV show: Pluribus, Invasion of the Body Snatchers ('56) and John Carpenter's The Thing ('84). Pam mentioned the NCSU Nuclear Summer Program, applications are open. Pam turned off Google AI in her Gmail. We talked about the Walk for Peace Monks. Pam and Greg are planning to attend Carolina FiberFest March 13-14 and will have a meetup on the morning of Saturday, March 14 at 8am at Lucky Tree coffee shop in Raleigh. Some of our Denver area listeners are meeting to knit monthly. If you are in the area and want to join in, reach out to martaschmarta. Greg can also be found talking about knitting and playing Dungeons & Dragons at Crits and Knits. Affiliate Link Disclosure We are a KnitPicks Affiliate! This means that if you click on a KnitPicks link or Crochet.com, or the banner ad and make a purchase, we will receive a commission at no extra cost to you. This post contains affiliate links. That means that if you click on a link to Amazon and subsequently make a purchase, we'll receive a small commission from the sale. You pay the same, and the commissions will help cover our podcasting expenses. Our opinions are always our own. Find us all over the Internet Patreon: Unraveling…a knitting podcast Subscribe in iTunes: The Unraveling Podcast Podcast RSS Feed: Unraveling Podcast Facebook: Unraveling Podcast Instagram: @UnravelingPodcast Ravelry Group: Unraveling Podcast Greg is KnittingDaddy on Ravelry, @KnittingDaddy on Instagram, and also writes the KnittingDaddy blog. Pam is pammaher on Ravelry  and @pammaher on Instagram

John and Van look at the latest football intel, hoops news (including bama cheatin' again!), plus AU Golf domination and more! Watch the episode on YouTube:  https://www.youtube.com/@auwishbone301/streams Be a part of the AU Wishbone Family by becoming a patron of the shows:  https://www.patreon.com/vanallenplexico Contact the show via Twitter at @AUWishbone and via email: AUWishbone (at) Gmail dot com. Brought to you by White Rocket Entertainment. www.auwishbone.com www.plexico.net

OpenClaw is the hottest open source AI agent in marketing and in this episode Shawn Reddy from Cliqk pulls back the curtain. He walks us through the OpenClaw dashboard live, demonstrates social media scraping in action and shows the complete setup process so you can see exactly what it takes to get started. This isn't another episode about AI theory. Shawn shows us the real marketing use cases working today including social monitoring, content research and cross platform automation across Gmail, Slack and LinkedIn. You'll see the dashboard, watch social media scraping pull real time insights and understand what the setup looks like from start to finish. Then we confront the security risks head on. Wiz discovered Moltbook exposed 1.5 million API keys. Malicious plugins are exfiltrating private files. Prompt injection attacks are real. If you're handing an AI agent your credentials you need to hear this conversation. We also explore persistent AI memory for personalization at scale, Moltbook's 770,000+ agents and whether agent to agent interaction changes marketing forever, and the governance frameworks brands need before letting agents act on their behalf.

The way emails are prioritised in inboxes is changing. AI is now acting as an intermediary between you and your subscribers, deciding which emails get seen and which ones get buried. Gmail, Apple Mail, and Outlook are all rolling out AI-powered filtering that determines email placement based on relevance, not just send time. This doesn't mean email marketing is going the way of social media. But it does means engagement matters more than ever. When subscribers open, click, and reply to your emails, both the AI and your audience see you as valuable. The businesses that focus on real connection and strategic engagement will win. In this episode I cover: What Gmail, Apple Mail, and Outlook are doing with AI filtering right now Why engagement (opens, clicks, replies) is your secret weapon against deprioritisation Seven practical strategies to keep your emails visible and valued The shift: AI isn't out to get you. It's trying to serve your subscribers. When your emails genuinely connect, provide value, and spark action, both your subscribers and the AI will prioritise you. Focus on engagement and you'll stay visible where it counts. This of course is just the tip of the iceberg when it comes to email engagement. There is a lot more too it which is why I have a full course dedicated to the toping - Engaging Emails. Get it at yaelkeon.com/engage Next Steps: Hang out with me on Instagram @yaelkeon Write your next Engaging Email with my CustomGPT The Engaging Emails Studio Get a free Email Engagement Checkup Join The Email Experience Work with Me See omnystudio.com/listener for privacy information.

In today's fast-paced digital world, managing emails has become a daunting task for many individuals and organizations. With the sheer volume of emails received daily, sorting through them to find critical information can be overwhelming. Jessica Bay, the Product Manager from MAILVISTA, provides insights into how innovative solutions are transforming email management, making it simpler and more efficient.Email Management Made Simple and EfficientMAILVISTA aims to address the common frustration of email overload. As Bay points out, many users find themselves inundated with hundreds of emails daily, struggling to prioritize and locate important messages. The traditional methods employed by platforms like Gmail and Outlook, displaying emails in a chronological order, often exacerbate this problem. Users are left sifting through countless messages, leading to wasted time and increased stress.The solution offered by MAILVISTA is a paradigm shift. Instead of merely presenting users with a long list of emails, the platform intelligently categorizes and prioritizes incoming messages. By focusing on "low-value tasks," MAILVISTA allows users to concentrate on what truly matters. For instance, rather than seeing all 300 new emails, users are presented with a curated list of the most important ones - those that require immediate attention or responses. This streamlined approach not only saves time but also enhances productivity by ensuring that critical communications are never overlooked.Never Lose an Important EmailBay shares a relatable experience where an important email was lost amidst the chaos of an overflowing inbox. This scenario is all too familiar for many, highlighting the need for a solution that not only organizes emails but also ensures that vital messages are easily accessible. MAILVISTA addresses this issue by allowing users to personalize their email management experience. Users can specify which topics or projects should be prioritized, ensuring that relevant emails are always at the forefront.Affordability is another significant aspect of MAILVISTA's appeal. With a subscription model starting at just $5 per month, the service is accessible to a broad audience. This pricing strategy reflects the company's commitment to helping as many people as possible overcome their email challenges. The platform is designed to integrate seamlessly with existing email services like Gmail and Outlook, making the transition smooth and user-friendly.Bay's enthusiasm for the product and its potential is evident. As she discusses the company's plans for expansion, including a rollout in the United States, it becomes clear that MAILVISTA is poised to make a significant impact on email management. The product is currently in beta testing, with hopes for a full launch in the near future. This forward-thinking approach ensures that the platform will be refined and user-ready, addressing any issues before it reaches a wider audience.ConclusionIn conclusion, as our reliance on email continues to grow, so does the need for effective management solutions. MAILVISTA exemplifies how technology can simplify and enhance our daily tasks. By prioritizing important communications and minimizing the clutter of low-value emails, MAILVISTA is set to revolutionize the way we handle our inboxes. As we look forward to its broader availability, it is clear that the future of email management is not just about keeping up with the influx of messages, but about making email a more manageable and productive aspect of our lives.Interview by Don Baine, The Gadget Professor.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

In today's fast-paced digital world, managing emails has become a daunting task for many individuals and organizations. With the sheer volume of emails received daily, sorting through them to find critical information can be overwhelming. Jessica Bay, the Product Manager from MAILVISTA, provides insights into how innovative solutions are transforming email management, making it simpler and more efficient.Email Management Made Simple and EfficientMAILVISTA aims to address the common frustration of email overload. As Bay points out, many users find themselves inundated with hundreds of emails daily, struggling to prioritize and locate important messages. The traditional methods employed by platforms like Gmail and Outlook, displaying emails in a chronological order, often exacerbate this problem. Users are left sifting through countless messages, leading to wasted time and increased stress.The solution offered by MAILVISTA is a paradigm shift. Instead of merely presenting users with a long list of emails, the platform intelligently categorizes and prioritizes incoming messages. By focusing on "low-value tasks," MAILVISTA allows users to concentrate on what truly matters. For instance, rather than seeing all 300 new emails, users are presented with a curated list of the most important ones - those that require immediate attention or responses. This streamlined approach not only saves time but also enhances productivity by ensuring that critical communications are never overlooked.Never Lose an Important EmailBay shares a relatable experience where an important email was lost amidst the chaos of an overflowing inbox. This scenario is all too familiar for many, highlighting the need for a solution that not only organizes emails but also ensures that vital messages are easily accessible. MAILVISTA addresses this issue by allowing users to personalize their email management experience. Users can specify which topics or projects should be prioritized, ensuring that relevant emails are always at the forefront.Affordability is another significant aspect of MAILVISTA's appeal. With a subscription model starting at just $5 per month, the service is accessible to a broad audience. This pricing strategy reflects the company's commitment to helping as many people as possible overcome their email challenges. The platform is designed to integrate seamlessly with existing email services like Gmail and Outlook, making the transition smooth and user-friendly.Bay's enthusiasm for the product and its potential is evident. As she discusses the company's plans for expansion, including a rollout in the United States, it becomes clear that MAILVISTA is poised to make a significant impact on email management. The product is currently in beta testing, with hopes for a full launch in the near future. This forward-thinking approach ensures that the platform will be refined and user-ready, addressing any issues before it reaches a wider audience.ConclusionIn conclusion, as our reliance on email continues to grow, so does the need for effective management solutions. MAILVISTA exemplifies how technology can simplify and enhance our daily tasks. By prioritizing important communications and minimizing the clutter of low-value emails, MAILVISTA is set to revolutionize the way we handle our inboxes. As we look forward to its broader availability, it is clear that the future of email management is not just about keeping up with the influx of messages, but about making email a more manageable and productive aspect of our lives.Interview by Don Baine, The Gadget Professor.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

Piotr Wojtyla, Head of Threat Intel and Platform at Abnormal AI, is discussing their work on "InboxPrime AI: New Phishing Kit Fueling Scalable, AI-Powered Cybercrime." A new AI-powered phishing kit called InboxPrime AI is rapidly gaining traction in underground forums, automating the creation and delivery of highly believable phishing emails that mimic legitimate business communications and leverage Gmail's web interface to evade detection. First spotted in October 2025, the kit combines AI-generated content, template variation, sender identity spoofing, and built-in spam checks to maximize inbox placement and dramatically lower the barrier to running large-scale phishing campaigns. Its shift to a one-time $1,000 purchase and growing user base underscore the industrialization of phishing and highlight how quickly AI-driven attack tools are outpacing legacy email defenses. The research can be found here: ⁠⁠⁠InboxPrime AI: New Phishing Kit Fueling Scalable, AI-Powered Cybercrime Learn more about your ad choices. Visit megaphone.fm/adchoices

Piotr Wojtyla, Head of Threat Intel and Platform at Abnormal AI, is discussing their work on "InboxPrime AI: New Phishing Kit Fueling Scalable, AI-Powered Cybercrime." A new AI-powered phishing kit called InboxPrime AI is rapidly gaining traction in underground forums, automating the creation and delivery of highly believable phishing emails that mimic legitimate business communications and leverage Gmail's web interface to evade detection. First spotted in October 2025, the kit combines AI-generated content, template variation, sender identity spoofing, and built-in spam checks to maximize inbox placement and dramatically lower the barrier to running large-scale phishing campaigns. Its shift to a one-time $1,000 purchase and growing user base underscore the industrialization of phishing and highlight how quickly AI-driven attack tools are outpacing legacy email defenses. The research can be found here: ⁠⁠⁠InboxPrime AI: New Phishing Kit Fueling Scalable, AI-Powered Cybercrime Learn more about your ad choices. Visit megaphone.fm/adchoices

It's here! Episode 120 is being pulled up! Korn's Issues will always be a special one. Recorded in a hotel room in Nashville after doing Rock N' Pod and waiting HOURS for Nashville Hot Chicken. There's so much going on and it's the right kind of chaos. Enjoy!The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

What if search becomes.... proactive?

Serina breaks down a startling story about DNA, Tino's spooked by a Gmail setting, Nicasio made his stranded friend sleep in his car, and Matt talks about a man who explains why having an A.I. girlfriend is the right choice for him... Learn more about your ad choices. Visit megaphone.fm/adchoices

Join us LIVE on Mondays, 4:30pm EST.A weekly Podcast with BHIS and Friends. We discuss notable Infosec, and infosec-adjacent news stories gathered by our community news team.https://www.youtube.com/@BlackHillsInformationSecurityChat with us on Discord! - https://discord.gg/bhis

Hundreds of millions just got an AI glow up and didn't even notice.

This week on the Roach Koach Podcast it's all about Who's Tweeting, as Lorin and Matt go over emails, listener feedback, Roachamendations, and more. Topics this episode include:-Supporting the scene by going to FYE-Who's Emailing with Otep recs-Gambo Hemp featuring SCUM-Matt and corsets-Who's Festing at Inkcarceration 2026-Energy drink talk-And Rippers for Roaches 2Take a listen!The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

Apple made a big acquisition this week, released some big numbers on their quarterly results, and updated the very big number of active devices worldwide this week. Amazon and Spotify also had some big numbers to share this week, one of them not so great. Plus plenty of other tech news, tips, and picks to help you tech better! Watch on YouTube! - Notnerd.com and Notpicks.com INTRO (00:00) Apple Vision Pro launched two years ago today (04:30) 'Reddit for bots' Moltbook (probably) isn't being used to plot an AI uprising (06:40) MAIN TOPIC: Apple's Billions (09:25) Apple acquires Q.ai for a reported $2 billion Apple reveals it has 2.5 billion active devices around the world Apple announces all-time record in revenue, iPhone sales Apple shares trailer for new Top Dogs immersive 'doguseries' coming to Vision Pro DAVE'S PRO-TIP OF THE WEEK: Persistent proxy icon finder windows (19:35) JUST THE HEADLINES: (25:30) The LEGO Group and Crocs enter multi-year global partnership Scientists create programmable, autonomous robots smaller than a grain of salt SoundCloud data breach impacts 29.8 million accounts Seven of the world's ten best=selling smartphones in 2025 were iPhones An AI toy exposed 50,000 logs of its chats with kids to anyone with a Gmail account Los Angeles aims to ban single-use printer cartridges 'Reverse Solar Panel' generates electricity at night TAKES: Amazon confirms 16,000 job cuts after accidental email (30:20) Amazon shuts down controversial payment method (33:15) Spotify paid out $11B in royalties to music industry in 2025 (37:25) BONUS ODD TAKE: One Minute Park (40:40) PICKS OF THE WEEK:  Dave: Twinings Earl Grey Black Tea Individually Wrapped Bags, 100 Count (Pack of 1), Flavoured with Citrus & Bergamot, Caffeinated, Enjoy Hot or Iced, 100 Teabags (45:00) Nate: Memory Foam Replacement Ear Tips Compatible with AirPods Pro 2nd/1st Generation,with Noise Reduction Hole & Built-in dust Guard Screen,for USB-C Charging Case with Cleaner kit -Black (51:10) RAMAZON PURCHASE OF THE WEEK (56:00)

John and Van catch up on all the latest football and basketball news and analysis on the Plains! Watch the episode on YouTube:  https://www.youtube.com/@auwishbone301/streams Be a part of the AU Wishbone Family by becoming a patron of the shows:  https://www.patreon.com/vanallenplexico Contact the show via Twitter at @AUWishbone and via email: AUWishbone (at) Gmail dot com. Brought to you by White Rocket Entertainment. www.auwishbone.com www.plexico.net

Only 3% of venture capital funding goes to women-owned businesses. But here's the thing—it's not because your idea isn't good enough. It's because of foundational mistakes you're making before you even apply. Business strategist Ms. Cat (Catherine Mitchell) joins Sarah to break down exactly what keeps women entrepreneurs from accessing the billions in funding that's actually available. From choosing the wrong business name to using your personal Gmail account, these structural errors are disqualifying you before funders even look at your pitch. Ms. Cat walks through the NAICS code trap, why your LLC address matters more than you think, and the exact moment you should start looking for funding. Plus, she gets real about the burning desire you need to make the leap from side hustle to main hustle—and why entrepreneurship isn't for everyone. This conversation is part of Sarah's mission to put more money in the hands of more women.   WHAT YOU'LL LEARN The 5 foundational mistakes that disqualify businesses from funding—including why certain business names are considered "high risk" and how your NAICS code can knock you out of the game When to actually start looking for venture capital funding (and the capital gap test to know if you're ready) Why using your home address on your LLC is a red flag to investors—and what funders are really looking for when they Google your business The 3-4x rule for knowing when your side hustle is ready to become your main hustle Why funding challenges have nothing to do with your product or service—it's all about foundation and structure How women disqualify themselves before they even ask for funding (and how proper structure gives you the confidence to apply) The burning desire you need beyond just a good idea to survive entrepreneurship   READY TO BUILD A BUSINESS FOUNDATION THAT POSITIONS YOU FOR GROWTH? Ready to build a business foundation that positions you for growth and funding? Book a free 15-minute chat with Sarah to discover how you can work together. Book Your Free Call → https://app.acuityscheduling.com/schedule.php?owner=13047670&appointmentType=34706781 CONNECT WITH MS. CAT Podcast: Both Sides of the Check (available wherever you get your podcasts) Website: https://connectwithmiscat.com Instagram: https://www.instagram.com/connectwithmscat/ Facebook: https://www.facebook.com/connectwithmscat YouTube: https://www.youtube.com/@connectwithmscat   ABOUT MS. CAT (CATHERINE MITCHELL) Ms. Cat is a business strategist, entrepreneur, and co-host of the rising podcast Both Sides of the Check. She is the founder of Concept2Company, a program designed to help entrepreneurs structure their businesses for funding, make their first $10K in 30 days, and land consistent clients without leaning on friends and family. With years of experience guiding business owners through scaling, funding, and systems-building, Ms. Cat has built a reputation for simplifying complex strategies into step-by-step blueprints that actually get results. Her unique approach combines tough-love accountability with practical, actionable tools that help entrepreneurs go from idea to income. In addition to consulting, Ms. Cat owns her own tax software company, equipping professionals with training and mentorship under her ERO Expansion Hub mentorship program.   ABOUT SARAH WALTON Sarah Walton is a business coach, podcast host, and mentor who helps women entrepreneurs build businesses they love. She's the creator of the Abundance Academy, Effortless Sales, and the Game On Girlfriend® podcast. Sarah's mission is to put more money in the hands of more women while teaching authentic, heart-centered business strategies.   FREE GIFT FROM SARAH Get Sarah's Freedom Calculator and discover how much your business needs to make so you can finally be free.  → Download: https://sarahwalton.com/freedom   LEARN FROM SARAH Explore Sarah's online courses and free resources to start building your business with confidence.  Online Courses: sarahwalton.com/online-courses     Free Resources: sarahwalton.com/free-resources CONNECT WITH SARAH Website: https://sarahwalton.com/podcast  YouTube: https://www.youtube.com/@TheSarahWalton Instagram: https://instagram.com/thesarahwalton   RELATED GAME ON GIRLFRIEND® EPISODES YOU'LL LOVE Episode 312: Awakening, Abundance & Ancient Wisdom — Rewriting Your Money Story with Halle Eavelyn - https://sarahwalton.com/women-money-mindset-halle-eavelyn/ Episode 313: But What About the Money? Why Your Nervous System Determines Your Income - https://sarahwalton.com/money-mindset-nervous-system-income/ Episode 310: How One Courageous Conversation Led to Impacting 11.6 Million Lives with Carrie Rich - https://sarahwalton.com/financial-planning-women-entrepreneurs-carrie-rich/   LOVE THE SHOW? LEAVE US A REVIEW! Thank you so much for listening. I'm honored that you're here and would be grateful if you could leave a quick review on Apple Podcasts by clicking here, scrolling to the bottom, and clicking "Write a review." Your reviews help other women entrepreneurs find the show and get the support they need to build businesses they love. Thank you for being part of the Game On Girlfriend® community! (If you're not sure how to leave a review, you can watch this quick tutorial.)  

Yep - we are at the start of a new world - a world where AI is going to be 'even bigger than the internet'. And as the leaders of challenger brands in CPG, we've gotta lean in. In this episode of Brand Growth Heroes, I'm joined by one of my oldest and best friends, Paul Adams, CPO & Marketing at a multi-billion dollar company, Intercom AND he is building Fin.ai. If you're not in 'Tech' you may not have heard of him, but Paul Adams is one of the world's most prominent tech product designers, researchers, and authors -  recognised as one of the world's leading thinkers on the the intersection between humans and technology... and now between humans, commercialisation and AI.... amongst many other aspects of tech that most of us are not even privy to!  Described as "one of Silicon Valley's most wanted", he's also one of my closest friends, and I can't tell you how proud we are of the young man who rocked up to live with us in Balham in 2002 to work at Dyson, his very first job. After only a few years he was poached by Facebook, where he made the platform 'mobile' and then Google, where he worked on making Gmail, Google and YouTube mobile too. It was while working for these behemoths that he moved to San Francisco with his wife Jennifer, who's one of my three besties (Love you, Jen), and became globally renowned on the Tech speaker scene. In this episode, Paul argues that AI isn't just another new channel or tool. It's a platform shift on the scale of the internet and potentially bigger. We talk about why the moment we're in feels eerily similar to 1999, why marketing is getting less effective across the board, and why the brands that win next will look very different to the ones that won the last cycle.A bit more background on Paul:"Most Wanted" Status (2011): Paul Adams was highlighted by Fortune as a highly sought-after talent in Silicon Valley following his significant contributions to major tech firms.Google (Social Research): At Google, he led the social research team, and his work directly influenced the creation of "Circles," which became the foundational feature of Google+. He also worked on Gmail, YouTube, and mobile products.Facebook (Brand Experience): He later joined Facebook as the Global Brand Experience Manager, where he focused on research, design, and product strategy, working with marketers and advertising agencies.Intercom (Product Strategy): He joined Intercom as VP of Product in 2014, later becoming the Chief Product Officer.Thought Leadership: Adams is the author of Grouped: How Small Groups of Friends are the Key to Influence on the Social Web. His work on "The Real Life Social Network" is widely recognized as one of the most viewed presentations on the evolution of social networks.Background: Before his time in tech, he worked as a product designer at Dyson, where he designed electronic appliances. Current Status: As of September 2023, he was working as the Chief Product Officer at Intercom, focusing on product strategy in the age of AI.This isn't a tactical 'AI' for the sake of AI episode. It's a big-picture conversation about what's actually changing, what's already changed, and what brand builders need to understand to stay relevant over the next decade. it was this conversation that made me set up a buzzing new community called NextGen CPG -  a community for AI-native founders.   Take a look and see if you're eligible to join us hereUseful linksConnect with Paul Adams on LinkedIn https://www.linkedin.com/in/pauladams/Connect with Intercom The #1 AI Agent https://www.linkedin.com/company/intercom/Join the NextGen CPG WhatsApp community and LinkedIn page ============================================================Thanks to Brand Growth Heroes' podcast sponsor - Joelson, the commercial law firm=============================================================If you're a founder, you already know how much of your energy goes into building the perfect product, creating standout branding and connecting with your consumers.But don't forget that scaling a CPG business also comes with a maze of legal complexities that can make or break your business journey. From contracts, term sheets and regulatory compliance to protecting your brand's intellectual property as you expand, it's essential to get it right.And that starts with the right legal partner.So we're thrilled to introduce you to Joelson, a leading commercial law firm that specialises in guiding the founders of scaling CPG brands, as Brand Growth Heroes' sponsor.With long-term relationships with clients like Little Moons, Trip, Eat Natural, Bear Graze, and Pulsin, Joelson is also famous for advising the innocent founders in their landmark sale to Coca-Cola! As a female team, we are especially impressed by Joelson's commitment to championing female founders in CPG.Not many law firms are also BCorps, nor do they specialise in helping founders navigate the legal challenges of scaling without stifling the creativity and momentum that got you here in the first place. So thanks, Joelson—we're delighted to have you on board for the second year running.If you'd like to get in touch to find out more, why don't you drop them a line at hello@joelsonlaw.com==============================================.Please don't hesitate to join our Brand Growth Heroes community to stay updated with captivating stories and learnings from your beloved brands on their path to success!Follow us on our Brand Growth Heroes socials: LinkedIn, Facebook, Instagram and YouTube.Thanks to our Sound Engineer, Gyp Buggane, Ballagroove.com and podcast producer/content creator, Kathryn Watts, Social KEWS.

Bill Frost (CityWeekly.net, X96 Radio From Hell) and Tommy Milagro (SlamWrestling.net) talk Super Bowl LX, 2026 Winter Olympics, Madame Beja, Fallout, Mo Gilligan: In the Moment, The Muppet Show, Is It Cake? Valentine's Special, Relationship Goals, Ella McCay, The Lincoln Lawyer, The ‘Burbs, TPUSA All-American Halftime Show, Rasslin' News, R.I.P. Moira and Lamont, A Knight of the Seven Kingdoms, Star Trek: Starfleet Academy, The Hunting Party, Ponies, The Copenhagen Test, and more.Drinking: Espresso Martini canned cocktails from OFFICIAL TV Tan sponsors Five Wives Vodka & Ogden's Own Distillery.Yell at us (or order a TV Tan T-shirt) @TVTanPodcast on Threads, Bluesky, Facebook, Instagram, or Gmail.Rate us and comment: Substack, Spotify, Apple Podcasts, YouTube Music, YouTube, Amazon Podcasts, Audible, TuneIn Radio, etc. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tvtanpodcast.substack.com

Cybersecurity isn't just a technology issue, it's a family and financial issue. In this episode, Julina is joined by cybersecurity expert Sam Disraelly, Founder of Your Tech Department, to discuss the real online risks individuals and families face every day, from phishing scams to identity theft and account takeovers. You'll learn simple, practical steps to better protect your personal and financial information and build confidence navigating today's digital world. Timestamps:04:50 – The two types of cyber attacks people face07:00 – How COVID, Colonial Pipeline, and now AI changed the threat landscape10:45 – Why you should NOT click links in emails 12:30 – The Google search trap & the fake USAA site story 15:15 – The most common mistake families make17:00 – Passwords: “Long, Strong, Unique” 19:00 – Why built-in browser password managers (Google/Chrome/Apple) are risky22:15 – How to move your passwords into a real password manager 24:30 – The hidden dangers of free email accounts27:30 – The Optimum.net warning30:20 – What your email MUST be able to do (2FA, login visibility, session control)31:30 – Verizon outage example: why SMS 2FA can fail32:40 – Kids & teens online: AI, images, and why this is getting scarier34:00 – DNS filters: the most powerful tool parents don't know about38:00 – Pi-Hole and network-level protection at home39:10 – The easiest habits to start TODAY41:00 – Use a trusted partner before you click 48:00 – Three email strategy50:00 – “Plus addressing” with Gmail to control spam52:30 – Cyber insurance in homeowners & umbrella policies 56:30 – Sam's takeaway: 95–98% of attacks are stopped by 3 thingsConnect with Julina Ogilvie:WebsiteYouTubeLinkedInEmail- jogilvie@principlewealthpartners.comConnect with Sam Disraelly:https://yourcyber.team/https://yourcyber.news/https://www.linkedin.com/in/aridisraelly/The information provided is for educational and informational purposes only and does not constitute investment advice and it should not be relied on as such. The statements and opinions expressed in this podcast are those of the author. PWP cannot guarantee the accuracy or completeness of any statements or data. For current PWP information, please visit the Investment Adviser Public Disclosure website at www.adviserinfo.sec.gov by searching with PWP's CRD #290180

The Roach Ryderz and Indigo Angels have spoken and the next episode to be pulled up is Toxicity by System of a Down. It was our 100th Episode and it's LOADED. SO many key moments are in this episode including the creation of our sweet little boy Charel$ Man$ion. Please enjoy!The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

FREE Master Class: The Farm Marketing Fix Sign Up HERE Are you a farmer struggling to turn a profit despite working harder than ever? In this episode, farm marketing expert Charlotte Smith answers the most common questions from over 2,000 farmers who attended her recent webinar—and the answers might surprise you. Charlotte explains why social media is a distraction for most farmers and why email marketing should be your number one priority. She breaks down a counterintuitive truth: at farmers markets, your primary job isn't making sales—it's capturing email addresses. Why? Because the lifetime value of a single customer can reach $5,000 or more, compared to a one-time $50 purchase you may never see again. You'll learn practical steps including how to collect emails legally (and why using your personal Gmail can get your account shut down), which email platforms work best for farmers, and how to keep customers buying all winter long—even when the farmers market closes. Charlotte also addresses the overwhelm that keeps farmers stuck: how to find time for marketing when you're already exhausted running the farm. Her solution involves creating two hours of protected "focus time" daily to work on money-making activities rather than constantly reacting to interruptions. Whether you're a beginning farmer or have been in business for decades without turning a profit, this episode provides the foundational marketing strategy that's helped Charlotte's clients achieve results like going from $45,000 to $300,000 in annual revenue. Click HERE and Let's Meet! Chat with us to see if The Profitable Farmer can break you out of marketing misery.

Google quietly removed the Gmail feature that let you pull all your email into one inbox. If you relied on Gmail as your central hub, it's time to rethink your setup. Here's what no longer works and the options that still do.

In this episode of Pretty Lies & Alibis, we break down the day Brendan Banfield finally took the stand in his murder trial, following the dramatic collapse of the defense's private investigator under cross-examination. Prosecutors methodically challenged the PI's claims about phone locations, FetLife activity, Telegram usage, and Gmail account creation, emphasizing that multiple devices existed in the household and that the witness could not determine who was actually operating them.The Commonwealth highlighted key moments when Christine was active on her laptop while illicit accounts were accessed elsewhere, weakening the defense narrative.Brendan Banfield then testified about his long marriage to Christine, their careers, family life, and their young daughter. Jurors were shown numerous family photos as the defense attempted to humanize him, though prosecutors objected to what they argued was repetitive emotional evidence. Banfield admitted to having an affair with the family's au pair, Juliana, describing how it began while Christine and their daughter were out of town. He denied any planning related to Christine's murder. He also walked through the morning of the killings, describing leaving early for work, stopping at McDonald's, receiving a panicked call from Juliana about a strange man entering the house, unsuccessfully trying to reach Christine, and then driving back home.Become a supporter of this podcast: https://www.spreaker.com/podcast/pretty-lies-and-alibis--4447192/support.ALL MERCH 10% off with code Sherlock10 at checkout  - NEW STYLES Donate: (Thank you for your support! Couldn't do what I love without all y'all) PayPal - paypal.com/paypalme/prettyliesandalibisVenmo - @prettyliesalibisBuy Me A Coffee - https://www.buymeacoffee.com/prettyliesrCash App- PrettyliesandalibisAll links: https://linktr.ee/prettyliesandalibisMerch: prettyliesandalibis.myshopify.comPatreon: https://www.patreon.com/PrettyLiesAndAlibis(Weekly lives and private message board)

I built a tool that scans my LinkedIn connections, Gmail, calendar, CRM, and past sales calls to surface the best deals I should be going after. It ranks opportunities, suggests angles, and even drafts outreach. I built the whole thing in under an hour using Claude Code. In this video, I break down how it works and how you can build the same kind of deal-sourcing system for your own business without being an expert coder. Chapters (00:00) AI Deal Sourcer Overview (00:34) Real Deal Sourcing Story (01:21) Strategic Deal Analysis (02:45) Monetizing Your Network (03:46) Claude Code Walkthrough (04:07) Real-Time Deal Triggers (05:42) LinkedIn And Gmail Integration (07:09) AI Outreach And Angles (09:01) Scaling Relationships With AI

It's time!!!! For Roach Koach X we are pulling up some of our favorite episodes, voted on by Patreon Patrons. Today we it's time to get down with the sickness and boy oh boy this episode ages like FINE WINE. So grab The Guy and get Ready for Roach Koach X.The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

This week on the Roach Koach Podcast we take a listen to one of the “Bands to Watch 2004”, and dive into the sophomore album by Earshot, appropriately titled Two. Topics this episode include:-A singer who plays guitar??-Drums by Chas Stumbo-Humble brag concerts-“Nu-metal oak”-Incredibly depressing lyrics-The top song on your Zune-The Winter Soldier-And Canon Talk, where Lorin and Matt decide if Earshot deserve a place in the Nu-Metal Canon. Take a listen!The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

People are buying Mac minis to run a bot. Seriously. We explain the ClawdBot (now Moltbot) frenzy, what it does, and why some folks are convinced this definitely requires a $700 Mac. CALL 1-774-462-5667 Boost This Episode: Grab Sats with River!⚡ Strike Makes it Quick it Grab Sats in 100s of Countries Boost with FountainShow Notes:Subaru Aftermarket, Performance & Replacement Parts | Subimods — Subimods.comTesery - Tesla Premium Accessories StoreAmazon.com: How Amazon Automotive helps you find the perfect fitting parts: AutomotiveMoltbot — Personal AI Assistant BIG NEWS: We've molted! Clawdbot → Moltbot Clawd → Molty Same lobster soul, new shell.Architecture - Moltbotclawdbot is a security nightmare - YouTubeClawdHubOcean BunkerHangar HomeHandy Skills:self-improving-agent — ClawdHubgog — Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.excel — ClawdHubremind-me — ClawdHubauto-updater — ClawdHubhumanizer — ClawdHubweather — ClawdHubgithub — ClawdHubagent-browser — ClawdHubMusic:On the Road to Austin By ChrisLAS

Guest Bio: Ivana Taylor has spent 35 years translating complex marketing into simple, executable strategies. She's the founder of DIYMarketers.com, where she helps entrepreneurs compete without enterprise budgets. She's a self-described AI power user who tests tools for six hours a day. And she's built follow-up systems for everyone from manufacturing companies to consultants.   Key Points: AI has fundamentally changed prospecting and outreach—making it faster, cheaper, and more targeted—but only when combined with clear strategy and direct sales fundamentals. The Old Way Is Broken Cold outreach traditionally means endless spreadsheets, bad or outdated contact data, spray-and-pray marketing (webinars, lead magnets, mass email blasts), and huge time investment with little guarantee of ROI. Buying lists or relying solely on inbound marketing is increasingly ineffective. What Still Works Direct sales and direct outreach remain the most reliable growth strategy. Success starts with absolute clarity on your Ideal Prospect; industry, role/title, geography and specific expertise or problem area. Without this clarity, AI just produces faster garbage. How AI Changes Prospect List Building AI dramatically reduces the manual labor of prospect research. Instead of hours of Googling and data entry AI can find names, companies, websites, social profiles, and sometimes contact info and AI can organize data into usable spreadsheets. AI works best in small-to-medium batches (10–50 at a time). Tools Mentioned for Prospecting & Enrichment General AI platforms (for defining criteria and searching): ChatGPT, Claude and Gemini. Spreadsheet & research automation: GenSpark (noted for strong spreadsheet creation) Data enrichment & contact info (especially B2B): Apollo.io, Hunter.io, Clay.com Outreach & CRM tools: Nimble.com (emails sent directly through Gmail for 1:1 feel) Deal-finding for tools: AppSumo (one-time purchase tools) What AI Can (and Can't) Do AI can build targeted prospect lists faster. Find websites, LinkedIn profiles, phone numbers, and some emails. Segment prospects by expertise or role. Reduce human error in outreach sequences. Ai can't guarantee perfect data (bounces still happen). Replace human judgment. Eliminate the need to review and understand each prospect. Best Practices for AI-Powered Prospecting Always review and "get your hands dirty" with the data. Read prospect websites and make personal notes. Expect some bad data—scrubbing is still required. B2B data is far easier to find than consumer data. Free versions of tools are sufficient to test and validate workflows. Outreach Strategy Matters Use AI to support structured outreach sequences, not spam. Follow a 3–5 touch email sequence. Personalization improves responses. Segment based on expertise, role, or interest. Automation reduces mistakes while preserving a personal tone.    Guest Links: FREE GIFT Business by Referral Course: https://diymarketers.trainercentralsite.com/course/business-by-referral  Promo Code "WENDY25"   AI + Sales Tools from the Podcast ChatGPT – Use it to write outreach emails, brainstorm follow-ups, or summarize client notes quickly and naturally. Genspark – Great for researching topics and generating accurate, human-like marketing or sales content fast. Perplexity – Ideal for researching prospects, finding their websites, social links, and key insights before reaching out. Hunter.io – Find and verify professional email addresses so you always reach the right person. Apollo.io – Combines verified contact data with built-in email outreach and engagement tracking in one platform.   Learn More Visit DIYMarketers.com – Simple, actionable marketing strategies for small business owners who want to do marketing on less than $17 a day. Fix Your Marketing Problem in Less Than 24 Hours – Fill out the form, tell me your marketing challenge, and I'll send personalized recommendations in less than 24 hours.   About Salesology®: Conversations with Sales Leaders Download your free gift, The Salesology® Vault. The vault is packed full of free gifts from sales leaders, sales experts, marketing gurus, and revenue generation experts. Download your free gift, 81 Tools to Grow Your Sales & Your Business Faster, More Easily & More Profitably. Save hours of work tracking down the right prospecting and sales resources and/or digital tools that every business owner and salesperson needs. If you are a business owner or sales manager with an underperforming sales team, let's talk. Click here to schedule a time. Please subscribe to Salesology®: Conversations with Sales Leaders so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! To learn more about our previous guests, listen to past episodes, and get to know your host, go to https://podcast.gosalesology.com/ and connect on LinkedIn and follow us on Facebook and Instagram, and check out our website at https://gosalesology.com/. 

John and Van look at the latest happenings in the transfer portal, as the Tigers continue to build up their depth, plus the big wins at Florida and Ole Miss. And lots more! Watch the episode on YouTube:  https://www.youtube.com/@auwishbone301/streams Be a part of the AU Wishbone Family by becoming a patron of the shows:  https://www.patreon.com/vanallenplexico Contact the show via Twitter at @AUWishbone and via email: AUWishbone (at) Gmail dot com. Brought to you by White Rocket Entertainment. www.auwishbone.com www.plexico.net

It's time!!!! For Roach Koach X we are pulling up some of our favorite episodes, voted on by Patreon Patrons. Today we it's time to get down with the sickness and boy oh boy this episode ages like FINE WINE. So grab The Guy and get Ready for Roach Koach X.The Crack, the Butt Rock Bracket is here on the Roach Koach Patreon! Subscribe today! Rate, review, and follow Roach Koach on Apple Podcasts and Spotify! We'd appreciate it! Questions about the show? Have album recommendations? Just want to say hi? We'd love to hear from you! Contact the show @RoachKoach on Twitter, Roach Koach on Facebook , Roach Koach on Instagram, or send an email to RoachKoachPodcast at Gmail. Follow the show on Youtube and TikTok! Find every episode of Roach Koach and order your Roach Koach T-shirt at Roach Koach dot com.

Automaker BYD is the leader in a group of Chinese car companies whose global exports have risen beyond expectations, with BYD replacing Tesla as the world's biggest electric vehicle seller. WSJ's Stephen Wilmot explains the political challenges that could slow BYD's growth. Plus, WSJ personal tech columnist Nicole Nguyen discusses Google's new AI email rollouts — including features that attempt to summarize Gmail inboxes and write responses. Peter Champelli hosts. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Wait.... AI can do THAT now?

There's a new biggest name in EVs, and if you live in the US, you pretty much can't buy one. But before we get to that, we have some stuff to catch up on: The Verge's Hayden Field joins us for a round of “Big Deal Medium Deal Small Deal” with some AI news, from the launch of ChatGPT Health to the recent viral moment for Claude Code. After that, The Verge's Andy Hawkins joins the show to explain how BYD recently eclipsed Tesla as the world's largest seller of electric vehicles, what makes its cars so desirable, and when you, too, might be able to buy a Dolphin Surf. Finally, David tackles a question from the Vergecast Hotline (call 866-VERGE11 or email vergecast@theverge.com!) about giving your kids iPads instead of iPhones, and whether all screen time is created equal. Further reading: Car influencers love Chinese EVs — and China loves them back Tesla's fourth quarter sales fell a lot more than expected From Inside EVs: A Guide To BYD, The Chinese Automaker That Just Surpassed Tesla Anthropic wants you to use Claude to ‘Cowork' in latest AI agent push Anthropic shakes up C-suite to expand its internal incubator OpenAI launches ChatGPT Health, encouraging users to connect their medical records Google brings buy buttons to Gemini and AI search Grok is undressing children — can the law stop it? Google is taking over your Gmail inbox with AI Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Luke joins the show from Burbank, California, where he was on a big-budget HBO set all day. He and Andrew also discuss the school staff from Archie Comics as well as some of the cartoon characters they used to crush on.