Podcasts about Cocoa

The Smart 7 is an award winning daily podcast, in association with METRO that gives you everything you need to know in 7 minutes, at 7am, 7 days a week...With over 18 million downloads and consistently charting, including as No. 1 News Podcast on Spotify, we're a trusted source for people every day and the Sunday 7 won a Gold Award as “Best Conversation Starter” in the International Signal Podcast Awards If you're enjoying it, please follow, share, or even post a review, it all helps...Today's episode includes the following guests:Guests Oprah Winfrey - Space Fan and former TV HostEmily Ratajkowski - Actress and Model Will Guyatt - The Smart 7's Tech Guru Dr Ana Angelova-Volpovi - Director of Regenerative Dentistry at Kings College LondonWilliam Curley - Pâtissier Chocolatier Jonathan Parkman - Head of Cocoa, at Marex Mariel Benjamin - Assistant Professor of Allergy and Immunology at the University of Michigan Health Doctor Tania Elliott - Clinical Instructor at NYU Langone Health and spokesperson for the American College of Allergy, Asthma and ImmunologyProfessor Nikku Madhusudhan - Astrophysicist at the University of CambridgeJohan Erlag - Project Manager at SVT Play, Swedish State Broadcaster Contact us over @TheSmart7pod or visit www.thesmart7.com or find out more at www.metro.co.uk This Episode is presented by Mike Wooller, written by Liam Thompson and produced by Daft Doris. Hosted on Acast. See acast.com/privacy for more information.

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Wendy's makes light of Katy Perry's flight on Blue Origin. New body cam video and 911 calls released in Cocoa house party involving school principal Your texts on the Cocoa House Party. Ryan Schmelz on Dems using time off to attack Trump. Dana Bqsh clarifies that CNN does not hate America.

Welcome to part five of the B.rad podcast highlight series! In this episode, we dive into the juicy, interesting, and possibly controversial topic of diet. You will hear quotes from some of my favorite guests and key moments over the years, focusing on my “meat and fruit” lifestyle—the animal-based, protein-centric, nutrient-dense eating style that I’ve honed through years of experimentation and immersion. We’ll revisit my first interview with Dr. Paul Saladino from 2019, when he was first starting to rise and drive the increasing popularity of the carnivore diet movement, plus hear compelling insights from other experts. If you want impactful, eye-opening quotes on diet, protein-centric eating, and the animal-based approach, this episode is a must-listen! TIMESTAMPS: Animal organs, nose to tail, are the most nutrient dense foods in the diet. [00:50] Plants are the backup foods. Plants have defense chemicals that can be toxic depending on your sensitivity. [03:16] Fruit is the least objectionable type of food. The longer you cook something, the more you degrade the nutritional value. [09:26] If you do have a history of digestive distress or an assortment of autoimmune or inflammatory conditions, it is highly likely that you can draw a correlation to the foods that you consume in your diet. [15:03] Try an experiment on yourself if you have any digestive discomfort. Eat just steak, salmon, and eggs for a week or two. See if your diet should change. [16:53] Much information about ancestral nutrition has come from studying the Hadza. [18:55] We have to make a clear distinction between natural nutritious carbs and the nutrient deficient, heavily processed carbs, [21:47] Fasting periods will result in greater nitrogen loss no matter how fat adapted you are. [28:25] Timing of food goes hand-in-hand with timing of being asleep and awake. [30:13] “You simply will not get fat if you eliminate processed foods.” (Dr. Robert Lustig) [32:26] Jay Feldman says: “If we were to evaluate the use of interventions like ketogenic diets, calorie restriction, or intermittent fasting, we would see that they're generally a terrible idea because they're disastrous for energy production.” [37:15] If you are going to take supplements, get the very best, highest quality, highest potency, least objectionable form. [42:37] We humans can have issues like mental health that relate to our diet. [45:53] Be aware of the stress impacts of what you are doing with fasting or cold plunge and such activities. [47:42] If you buy the 2 or 3 dollar chocolate bar, you are no doubt supporting child labor and ripping off the farmers. [51:56] The body has a natural, deep-seated biological drive to survive. And its most prominent dietary need is to consume sufficient protein. [57:03] LINKS: Brad Kearns.com B.rad’s Superfruits B.rad’s Shopping Page B.rad’s Whey Protein Superfuel BradNutrition.com B.rad Nutrition Chart Brad's Shopping Page BornToWalkBook.com B.rad podcasts- All Episodes Peluva Five-Toe Minimalist Shoes Podcast with Dr. Tommy Wood Dr. Paul Saladino Metabolic Correlation between high fructose corn syrup and obesity Jay Feldman.com Askionosie Chocolate Podcast with Askinosie Podcast with Rodriguez We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: KetoneIQ: Save 30% off your first subscription order & receive a free six-pack of Ketone-IQ with https://ketone.com/BRAD Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon.See omnystudio.com/listener for privacy information.

I welcome Michael Brandt, co-founder and CEO of Ketone IQ, to the show for a conversation about supplemental ketones! Ketone IQ offers supplemental ketones, or ketones on the go, for an instant high performance energy source. I have talked about the ketogenic diet for many years, writing many books with Mark Sisson about the amazing benefits of the ketogenic state for anti-inflammatory and immune boosting and antioxidant and protein sparing, and the keto diet has risen to popularity and become a huge fad. However, it is a little difficult to adhere to this extremely strict dietary protocol to limit carbs to the extent that you force your liver to make ketones internally. So a wonderful breakthrough in high performance supplemental technology is the availability of consuming what they call exogenous ketones—outside source of ketones—directly for athletic performance recovery and improved brain function. I have been excited about this technology for many years now and tested these products out over time, and while Michael does talk a little bit about his product, this episode is not really a commercial show. You will hear about the benefits of ketones in general, and we also talk about his own high performance athletic training, athletic training regimen, and how pursuing these daunting goals that we put up there with our competitive aspirations carry over into all aspects of daily life. I hope you enjoy this conversation, which ended up being a really interesting one centered around being the best you can be and learning about this exciting, cutting edge intervention for your training, which is supplemental ketones. You will hear all about my experience using this product on my Cactus to Clouds hike, how I felt an immediate boost in mental clarity, as you often hear about people talking about when it comes to following a ketogenic diet. If you’re an athlete, it is a really useful supplement because it plays an important role in athletic performance by keeping your brain engaged and well fueled so that your body can work as best as it can—there’s a reason why he’s got Tour de France athletes using them, as well as Ironman Legends, and MMA fighters. It’s really cutting edge stuff and I think you're going to get a lot of value out of it and probably want to try the product. If you do, I have a special discount for you and I think you'll be pleasantly surprised at how effective supplemental ketones are. The Ketone IQ product is a special type of formulation called a ketone diol that has a longer lasting duration in your bloodstream. I think it’s a great product, one I use a lot myself, and I welcome the idea to learn more about it. Enjoy this episode with Michael Brandt, a former marathon runner with such an interesting story to share, who founded Ketone IQ on the heels of getting a huge grant from the United States government to research the benefits of supplemental ketones for soldiers. Michael Brandt (@michaeldbrant) is an avid triathlete and marathoner, and co-founder and CEO of KetoneIQ. A lifelong student and leader of designing products around new technologies and emerging needs. Prior to starting KetoneIQ, he received his BS in Computer Science & Design at Stanford, was a Product Manager at Google, and Adjunct Professor at the Academy of Art in San Francisco, California. LINKS: Brad Kearns.com B.rad’s Superfruits B.rad’s Shopping Page B.rad’s Whey Protein Superfuel KetoneIQ Website @MichaelBrandt on Instagram We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: KetoneIQ: Save 30% off your first subscription order & receive a free six-pack of Ketone-IQ with https://ketone.com/BRAD Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon.See omnystudio.com/listener for privacy information.

Cocoa Motion Quiz by Maine's Coast 93.1

This morning, we are joined by Greg to talk on the current market including Ag & Oil. Next, John and Bill join us for a discussion on the Elite 8 in NCAA March Madness. Next, John joins us to discuss the history of Chicago's mob. Finally, Nancy joins in to discuss the Chicago housing market […]

President John Dramani Mahama has emphasized the need to pay cocoa farmers a fair price for their produce, which he believes is the most effective incentive to boost production in the country. This approach, the President says, will discourage farmers from selling their lands to illegal miners and engaging in activities like Galamsey

I have a great discussion to share with you from Philip Pape, the host of the Wits and Weights podcast. I had the pleasure of joining him on his show, and he was a really sharp guy with some nice, focused, and quantified insights about how to lose excess body fat the right way. If you visit witsandweights.com, you'll see some nice free offerings of his free metabolic assessment, nutrition coaching, nutrition guides, and some great content at the Wits and Weights podcast. In this episode, you will hear us discuss the fitness industry, what he's doing, and the always popular topic of trying to drop excess body fat. Phillip stated what I believe to be a life changing insight about weight loss by saying: it all starts with strength training. You have to work on building muscle in order to succeed, even with dietary transition, because if you don't, you're going to fall into old habits—you're going to get hungry, you're going to want to chomp on something. As you will learn in this show, when you start working hard on strength and resistance training, you are going to have muscles actively taking glucose in from the bloodstream and replenishing the larger muscle, the more muscle mass that you build, as well as recovering from the workouts where you are burning glucose in the workout, burning glycogen, and then replenishing stored glycogen. What an interesting and very simple takeaway—that it's not just about locking in on your diet, watching your portion sizes, and all the things that we've been programmed for so long to think is the main starting point to getting the physique that you dream of. It starts with hard work and pumping the iron. We also have a fascinating conversation in the middle where we talk about this theme that I've talked about on the podcast often—the fully fueled approach to fitness and longevity, where you're eating more food, moving more frequently, recovering faster, and living longer. This topic came up as Phillip was describing a gaining phase that he goes through in his training where he's doing some strenuous workouts, the hypertrophy style workout, and deliberately and systematically consuming more calories over a sustained period of time, whether it's a month or six weeks. And during that time period, what a surprise!—he has more energy, he's more active, he’s tapping his foot more at his desk and feeling great and recovering and building muscle. So I think it's a nice reflection on the importance of fueling yourself with natural, nutrient dense food exclusively, and then getting to work and working those muscles. That is the path to not only getting off that stubborn, excess body fat that might have been sitting there even when you're doing hard work on your diet, but to opening a new portal and exposing yourself to new possibilities. Enjoy this show with weight loss and fat reduction body composition expert Philip Pap of the Wits and Weights podcast. TIMESTAMPS: Philip Pape talks about the best way to lose weight is with strength training. [00:56] When you start the program with Philip, you start with self-awareness of how much you are eating, what you’re eating, the composition of there food and the movement and the training you are already doing. [08:41] What is the muscle centric approach? Burning calories is not the best way to lose weight.[11:14] What is the biggest offense to healthy living and longevity? [16:05] When you have a lot of muscle mass on your body, or you're stimulating the muscles in aworkout, the glucose is going into the muscle to refuel and replenish. [19:34] How’s it that a person can have good muscle mass but still need to lose weight? [21:52] Philip explains how and why he purposely gains weight as he is trying to put on more muscle. [23:22] The consumption of more calories is fueling a more ambitious training regimen. [31:37] How does one deal with the struggle of reducing excess body fat when they have been “doing all the right things?” [37:17] Steady state cardio is touted for weight loss. How does that compare to lifting and just moving more every day? ? [40:13] How important is the HRV monitor? [56:35] Just getting started, you don’t have to have a big gym-full of equipment. [01:02:26] LINKS: Brad Kearns.com B.rad’s Superfruits B.rad’s Shopping Page B.rad’s Whey Protein Superfuel Wits an Weights Born to Walk Carnivore Scores Food Ranking Chart We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: KetoneIQ: Save 30% off your first subscription order & receive a free six-pack of Ketone-IQ with https://ketone.com/BRAD Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon.See omnystudio.com/listener for privacy information.

The Mark Moses Show is joined by Chris Bonanno to get his thoughts on the NCAA Tournament as we head into Sweet 16 Matchups this weekend in the world of College Basketball and how is his Cocoa High School Baseball Team is doing so far to start the 2025 season.  Follow Mark on all your favorite Social Media Platforms at @markmosesshow  Mark broadcasts from the Anidjar & Lavine Accident Attorneys Studio.  #Podcast #MarkMosesShow #Basketball #Marchmadness #Orlando #Magic   

Bienvenue dans le deux-cent-quatre-vingt-dixième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Nouveaux Macs - Mac Studio M4 Max & M3 Ultra + Macbook Air M4 Swift-build - Maintenant en code-source libre Cmd-Maj-O - Fonctionne sur les sites en DocC Jellyfin - Maintenant sur iOS Ecoutez cet épisode

Anthony Labruna on how Venezuela was warned over taking its expelled citizens back. Cocoa adding fluoride to its water but Florida congressional bill looks to ban it from drinking water. Jeff Monosso on Tesla pulling out of car show. Recent Tesla destruction in the US is ridiculous.

As of March 20, 2025, cocoa and coffee—two of the world's most beloved commodities—are facing an uncertain future. Rising global demand, volatile prices, and the intensifying impacts of climate change are reshaping the landscapes where these crops thrive. For consumers, this means higher costs and potential shortages of chocolate and coffee. For farmers, it's a battle against shifting environmental conditions and economic pressures. Here's a look at what lies ahead for these iconic beans. Hosted on Acast. See acast.com/privacy for more information.

Welcome back to another highlight show! In this episode, we continue our series of relationship tips and insights from some experts I’ve interviewed over the years. You will hear from Dr. Wendy Walsh about the top 3 qualities men and women seek (qualities that are based on deep-seated wiring, that we can’t ignore or reject), advice from Jillian Turecki on the right and wrong questions to ask while dating, why we can make bad decisions during the first two years of a relationship, why we downplay negatives and red flags, and what happens when we get too stuck on rationality. Got relationship problems? They likely stem from your own issues—your own personal life problems, self-esteem issues, etc. You will also learn what 7 things destroy attraction and hear wonderful insights from Mia Moore, who highlights the adverse effects of becoming socialized to believe that relationships are mainly about hard work. Mia discusses how life experience, including both positive and negative aspects of past relationships, can frame one’s perspective and personal growth for future relationships. Another important part of relationship health? Parenting. If you have kids, don’t make the (common) worst mistake most parents make (putting kids before the priorities of nurturing a loving partnership)! Mia mentions the “cheerleader” concept of relationship dynamics: Do you want a mature, authentic, dynamic adult relationship with conflict, frank discussion, negotiation-compromise-resolution, or do you just want a cheerleader to stand by and cheer you on? According to Mia, you can have both—a cheerleader and an authentic partner, and you will also hear some great applicable tips for healthy communication—recognizing and avoiding passive-aggressive dynamics, the power of dismissive language, being aware of how you use “but” in the middle of a sentence, developing the ability to listen more and talk less, how to allow for healthy venting without going overboard, the importance of working on emotional control and sensitivity, and more! TIMESTAMPS: What are the qualities we are looking for in a partner based on our biological wiring [00:46] It is important to be authentic. [05:16] What should you talk about when first dating? [06:25] People that look good on paper, might not be a good match. [07:44] The chemical attraction is there, but sometimes we make bad decisions. [10:59] Don’t downplay red flags that you may notice. [13:15] Be comfortable around each other. You don’t have to dress up or put on an act. [14:09] There are seven things that destroy relationships. One is stress. [15:31] Master your inner voice, and you master your life. [16:17] Are relationships really such hard work? [19:58] There are helicopter parents and lawnmower parents. How does that effect your relationship? [23:32] Do opposites attract or is a better match with someone who is more aligned with your behaviors and values? [27:06] As we get older, we get set in our ways. [29:58] Say something once and have the expectation that your message will stick. [30:50] Do you say “whatever?” Using “but” in the middle of a sentence usually negates what you said before. [31:47] Resolve to listen more and talk less. No one learns anything by talking. (Confucius) [36:10] Think about what kind of partner you want? [41:06] LINKS: Brad Kearns.com B.rad’s Superfruits B.rad’s Shopping Page B.rad’s Whey Protein Superfuel Podcast with Jillian Turecki Podcast with Mia Moore We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: KetoneIQ: Save 30% off your first subscription order & receive a free six-pack of Ketone-IQ with https://ketone.com/BRAD Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon.See omnystudio.com/listener for privacy information.

In this episode, you will hear about the many benefits of creatine—widely known for its role in muscle building and athletic performance. Recent research has highlighted its potential benefits for cardiovascular health: a 28-day study demonstrated that creatine supplementation led to a 1.4% improvement in blood vessel function, a change associated with a 13% reduction in the risk of cardiovascular events like heart attacks or strokes. Participants also experienced a nearly five milligram per deciliter drop in fasting blood glucose levels, and a significant 17 milligram per deciliter decrease in triglycerides, both important markers of heart health. The dosing protocol in the study involved an initial loading phase of 20 grams daily that's separated into four five gram scoops for five days, followed by a maintenance dose of five grams daily for the remaining 23 days. Another study showed that just seven days of high dose creatine, 20 grams daily, improved artery stiffness in older adults, a key risk factor for cardiovascular disease. In this show, you will learn just how creatine works to support heart health beyond boosting energy production. Because creatine increases cellular ATP levels, creatine acts as an anti-inflammatory and antioxidant supporting vascular tone and endothelial function. It also energizes blood vessels, helping them maintain their ability to expand and contract for optimal blood flow. While creatine is not a substitute for exercise or a healthy diet, these findings suggest it could serve as a valuable addition to a heart healthy lifestyle. Unlike many medications, creatine offers these benefits with minimal risk of side effects. Whether you're focused on improving athletic performance, cognitive function, or longevity, creatine's wide ranging benefits make it a supplement worth considering. From supporting muscle strength to promoting better heart health, creatine is emerging as an all around powerhouse for enhancing overall wellness. Consider adding five grams daily to your routine for long-term health benefits. If you haven’t tried supplementing with creatine before, it has zero flavor and dissolves super easily into beverages. Click here to learn more and order my B.rad 100% Pure Micronized Creatine Monohydrate Powder: https://a.co/d/efHAxNH TIMESTAMPS: Creatine does much more than muscle building. While creatine is not asubstitute for exercise or a healthy diet, these findings suggest it could serveas a valuable addition to a heart healthy lifestyle. LINKS: Brad Kearns.com B.rad’s Superfruits B.rad’s Shopping Page B.rad’s Whey Protein Superfuel B.rad Creatine Monohydrate We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: Save 30% off your first subscription order & receive a free six-pack of Ketone-IQ with https://ketone.com/BRAD Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon.See omnystudio.com/listener for privacy information.

Let’s talk about VO2 max—a laboratory cardiovascular performance test that began rising to prominence in the mainstream medical, fitness, and biohacking communities in the 2010’s as an excellent way to measure general cardiovascular health, disease risk, and longevity potential. It’s great to see the integration of performance-oriented metrics into wellness and medicine, and in this episode, I tell you all about VO2 max, its ability to predict your longevity, why some say it’s a superior way of predicting longevity, as well as why it can, in some ways, be overrated. In this episode, I discuss all aspects of the VO2 max test—what it is, what it means, how to train for it, and how it rose to prominence, despite being a key performance metric for endurance athletes to predict competitive potential for decades. I explain how the VO2 max test works (by measuring your amount of oxygen usage as the test gets increasingly harder), why most cardiologists are now touting VO2 max as superior to anything found in bloodwork, EKGs, and other routine screenings, the insights about your health that you can learn from taking the test, why the VO2 max test can be overrated, why the performance metric Running Economy is considered a better predictor of competitive success than VO2 max in elite running circles, the reason why VO2 max scores vary between men and women, and more! LINKS: Brad Kearns.com B.rad’s Superfruits B.rad’s Shopping Page B.rad’s Whey Protein Superfuel We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: Ketone-IQ: Save 30% off your first subscription order & receive a free six-pack of Ketone-IQ with https://ketone.com/BRAD Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon.See omnystudio.com/listener for privacy information.

Cocoa Speaks is a Nashville based comedian who shares her heart and her joyful energy with us. She opens up about the impacts of ADD meds as a child, trying again as a college athlete and now, for the first time in adulthood, she is trying it again and looking forward to the focus it could bring into her life. A self identifying “Hooper” she talks about how different the environment is on a team compared to the sparing within the comedy scene. Seeking out joyous vibes to be her best creative self, she knows that is where she thrives. She also shared the pain that comes with having multiple miscarriages and how the people around her reacted and handled the loss with her. She is truly so fun and wants to live an entire life having fun for a living and we see it for her. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit imfineitsfine.substack.com/subscribe

Bienvenue dans le deux-cent-quatre-vingt-neuvième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Fireside Cocoa - Les impressions de Philippe iPhone 16e - Le moins cher des iPhones? MapleScan - Fait au Canada Alternatives UE - Cherchez-vous une alternative à l'hégémonie américaine? Spices - Créez des vues de débogage en SwiftUI Arm64-to-sim - Pour les frameworks récalcitrants Astuce Finder - Renommer plusieurs fichiers simultanément BusySimulator - Faites semblant d'être occupé Astuce IA - Le mot en F toujours utile Ecoutez cet épisode

Please welcome my good friend, Tania Teschke back to the show! Tania is the author of the book Bordeaux Kitchen, which by many accounts is the best book ever written in the ancestral health scene—it is an absolute encyclopedia of healthy living, French food, wine, and culture. She has studied under some of the finest chefs and sommeliers and brings you the full scoop in this episode with all kinds of tips about nutrition and health, including a discussion about the integral role animal organs have played in not just French cuisine, but in many different cuisines around the world. This show will inspire you to bring organ meats back to your routine dietary patterns, and we talk about the value of the cultural aspect of food in France, as well as the importance of being mindful of what you put on your skin and Tania’s wonderful product line, The Bordeaux Kitchen. I’ve been using her lip balm and deodorant for the last few years and they’re all fantastic. When you think of all the offensive chemicals in mainstream beauty and body products (especially the ones that contain endocrine disrupting chemicals), it’s such a relief to know that there are skincare and cosmetic products formulated with clean ingredients, that work well, and are easily available on Etsy. LINKS: Brad Kearns.com B.rad’s Superfruits B.rad’s Shopping Page B.rad’s Whey Protein Superfuel BordeauxKitchen.com (Book) The Bordeaux Kitchen: An Immersion into French Food and Wine, Inspired by Ancestral Traditions We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! Ketone-IQ gives you high performance energy on the go.Save 30% off your first subscription order and receive a free six pack of Ketone-IQ! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon.See omnystudio.com/listener for privacy information.

with Brad Friedman & Desi Doyen

More on dividend growth investing  -> Join our market newsletter!  Following brief upward momentum after we first bought Hershey, the stock proceeded to slide downward. Cocoa prices remain elevated, and there is significant uncertainty surrounding the short-term impacts on the company's operations. However, Hershey's recent earnings report shows that the company is more resilient than it may appear.Despite a 20% stock decline, Greg emphasizes that there are still many things to like about Hershey. Simply put, there is much more to the story than the current price of cocoa. Going a bit deeper, Greg examines the cocoa supply chain, specifically the impact of weather and geopolitical issues on production in major countries like Ivory Coast, Ecuador, and Ghana, highlighting several factors that suggest a possible future drop in cocoa prices. He further discusses Hershey's superb hedging strategies, strong balance sheet, and potential for high returns through dividends and stock growth within the next decade. Ultimately, Hershey's attractive valuation, dividend yield, and potential dividend growth allow investors to start with an advantage. In closing, Greg presents a Suber Bowl analogy to underscore the patience required for long-term investing, contrasting it with the short-term focus prevalent in current market analysis. 00:00 Introduction to The Dividend Mailbox02:16 Revisiting the Hershey Story05:37 Hershey's Market Position and Challenges07:36 Cocoa Market Dynamics12:04 Hershey's Financial Health and Strategy15:29 Investment Strategies and Long-Term Outlook25:50 Rant on Market Commentary and Short-Term Thinking31:14 Super Bowl Analogy and Final Thoughts37:50 Conclusion and Contact InformationSend us a textIf you submit a question to us and we use it in an episode, we will send you an official The Dividend Mailbox Yeti® Tumbler -> Email us at ethan@growmydollar.com.Notes & Resources:DCM Investment Reports & ModelsVisit our website to learn more about our investment strategy and wealth management services.Follow us on:Instagram - Facebook - LinkedIn - TwitterIf you enjoy the show, we'd greatly appreciate it if you subscribe and leave a review

Susan Bratton, the sex expert, is back for this episode and she brings the heat as usual. Please listen to our first show where we talked about all things sexuality and received her many tips and tricks and exciting stories getting you fired up to improve your sex life. But in show number two, I thought we would start with the idea that a lot of couples are less than their best in this category these days. Susan took that ball and ran with it and rattled off 5 main reasons why sexual intimacy could be faltering in your love relationship, and you will hear her share three awesome tips to help you revive your sex life and the best way to regain lost intimacy in your relationship. Be sure to also check out all the free course material, downloads, and videos Susan has available on her website—she really does give quite a bit to the community, has helped so many people, and has become a good friend of mine. She really is so caring and interested in helping people improve their relationship. Susan Bratton is an author, award-winning speaker, and serial entrepreneur who teaches passionate lovemaking techniques to her fans around the world. She has authored and published 20 books, including Relationship Magic, The Passion Patch (which she mentioned during the show), and 30 Romantic Tricks That Work Like Magic. She also has her international number one Amazon bestseller, Sexual Soulmates: The Six Essentials for Connected Sex. You will hear a ton of practical tips and information during this show, as well as a really nice big picture perspective about why relationships might fall off their game a little bit, and most importantly, how to get it back quickly. As Susan explains, there is great research showing that when you have a healthy sex life, you live longer, you have better immune function, you have better anti-cancer protection, you have more longevity, you have more energy, you have better sexual hormone health—all things that really do contribute to a better life. Enjoy listening to this show and make it a top priority to take note of all the suggestions and recommendations that she offers up. TIMESTAMPS: Many couples can use some advice to enhance their sex life. This is the podcast to give some tips. [00:52] This is a stressful world we live in, and sometimes there are frustrations outside the bedroom that prevent couples from getting inside the bedroom. [06:30] Low energy is a big factor. [11:32] Much of what we see in the movies, TV, and in books is based on men’s arousal patterns. [14:04] Make a commitment to have a better sex life. You will live longer. [19:41] It is normal for women to take longer to get aroused. [23:17] Learn how to hold each other and touch each other. [28:25] Men tend to overestimate their skills because the testosterone makes them very confident. [31:19] Susan offers a 5-step process that couples can do themselves. [33:06] Be more fun to have sex with. Go to sexlifebucketlist.com. [40:13] Orgasmic intercourse is a learned skill. [51:19] Is there a huge percentage where it's psychological and there's nothing wrong with the plumbing? [53:11] LINKS: Brad Kearns.com B.rad’s Superfruits B.rad’s Shopping Page B.rad’s Whey Protein Superfuel Podcast with Susan Bratton Susan Bratton.com Sexual Soulmates Soulmateembrace.com Susan Bratton Books The Magic Pill Method SexLifeBucketList.com The Queen Drive desire.com Join Brad for more fun on: Instagram: @bradkearns1 Facebook: @bradkearnsjumphigh Twitter: @bradleykearns YouTube: @brad.kearns TikTok: @bradkearns We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon. See omnystudio.com/listener for privacy information.

Send us a textS5 E95 - Tirzepatide for Sleep Apnea & Ryze CocoaIn this episode, Michelle and Daniel explore the newest developments in the use of tirzepatide for treating sleep apnea. They share personal updates and discuss their experiences with new technologies and podcasting remote setups. They delve into the impact of GLP-1 medications on weight loss, mental health, and sleep apnea. Additional topics include the critical balance of lifestyle changes with medication use, the risks associated with GLP-1 medications, and upcoming medical trials for sleep apnea treatments.00:00 Introduction and Podcast Updates00:25 Remote Recording Experiences00:47 Discussion on Podcasting Events03:25 In-Person Events and Giveaways03:41 Rise Cocoa and Nighttime Habits04:06 Tirzepatide and its Implications08:44 Potential Benefits and Risks of GLP-1 Medications16:07 Concerns about Long-term Use27:05 Final Thoughts and Listener AdvisoryWatch on YouTube at https://youtu.be/kmUSmCOdCjgTheme music "Happy Days by FSM Team" courtesy of  https://www.free-stock-music.comLearn More at:Daniel Baughn, Ph.D. at https://www.danielbaughn.com/Michelle Zetoony, M.D. at https://www.dosleep.com/Support the showPlease go to the following page to support the show: https://www.buzzsprout.com/1692604/supportsleeptakeout@gmail.comTheme music "Happy Days by FSM Team" courtesy of https://www.free-stock-music.com Support the showPlease go to the following page to support the show: https://www.buzzsprout.com/1692604/support www.youtube.com/@sleeptakeoutwww.danielbaughn.comwww.dosleep.comsleeptakeout@gmail.com

In this week's Market Minutes recap, hear from our team of investment experts as they share their perspectives on the latest market and economic activity. Our panel shares detailed insights into CPI inflation data, retail sales, corporate earnings, the credit market, and commodity trends.   Speakers:Brian Pietrangelo, Managing Director of Investment StrategyGeorge Mateyo, Chief Investment OfficerRajeev Sharma, Head of Fixed IncomeStephen Hoedt, Head of Equities02:00 – The Consumer Price Index (CPI) reported an increase of 3.0% for all items year-over-year for January, higher than the prior month02:43 – Retail sales declined 0.9% month-over-month in January 03:39 – Comments on recent economic data and how it seems inflation is still running hotter than expected07:04 – While fourth quarter 2024 earnings have performed above expectations, it is expected the overall growth for 2025 will be less than 15% 11:27 – Remarks on the credit market as they continue to not show volatility due to the increased demand 15:51 – Comments on trends in commodities, such as copper and gold 18:16 – Final comments about remaining invested and diversified within your portfolio Additional ResourcesKey Questions: Do the California Wildfires Put Any Investment at Risk? | Key Private Bank Key Questions | Key Private BankSubscribe to our Key Wealth Insights newsletterEconomic & Market ResearchWeekly Investment BriefFollow us on LinkedIn

"With just two months in government and no budget released yet, how could I announce a new cocoa price? When asked in Parliament about cocoa pricing and chocolate consumption on Valentine's Day, I highlighted the achievements of our previous government and outlined our plans for the future. At no point did I mention a 70% increase. This claim is false and should be disregarded,"- Hon. Eric Opoku, Minister for Food and Agriculture, clarifies.

Cocoa arrival numbers and weather tell of a promising season ahead Major cocoa and chocolate producers are concerned about how cocoa prices can affect their financial performance and projections for the year Q4 2024 grind showed a decline in demand: Will Q1 2025 grind help with the trajectory? McKeany-Flavell's 2025 Spring Market Seminar: Industry Trends & Consumption Live online event! Wednesday, April 23, 2025 Registration is now open! Host: Eric Thornton, Senior Commodity Advisor Expert: Marilyn Adutwum, Data Analyst

Climate Change and the Future of Chocolate: Is Cocoa Farming at Risk? by Radio Islam

The Den of Thieves with other special guest records our annual barrel aged beer episodes. This year we added some of our favorite local breweries, Atrium and Butchertown. This episode we discuss Atrium's Thief of Time, and Goose Islands 2024 Macaroon Stout and 2021 Cocoa and Coconut. 

In this show, I break down and analyze comments from my recent interview with one of the greatest female middle distance runners in the world, the American record holder Shelby Houlihan. It was a pleasure to drive up to Flagstaff, Arizona to meet Shelby at her high altitude training camp as she prepares for her long awaited comeback after a ridiculous four year suspension for a very questionable doping violation. In our interview, which you can listen to here (or click below under "links"), we talked about the tragedy she experienced when she had her career taken from her right in the middle of her prime, right as she was getting ready for the Olympics—then having to sit for four years. You will learn about the nuances of how that whole incident went down and the injustice of the anti-doping system in the world of elite sports. Of course we have to keep these sports clean, but can there be room for some imperfections and some victims too? You will also hear about the many aspects of what it's like to be an elite athlete, how Shelby expanded her horizons and her competitive disposition to try to become a more well-balanced person by getting her master's degree in sports psychology, and much more. Shelby said such amazing, thoughtful comments during the interview, and I think so many of her comments are truly profound insights that will help you as you navigate the very difficult challenge of designing an optimal training program that balances stress and rest (and also keeping your ego in check) as you pursue ambitious competitive goals. These big picture insights are especially helpful now, as the biohacking scene is currently getting a little out of hand—focusing on a regimented, high-tech, glossy, glitzy approach towards pursuing longevity, instead of just covering the basics—and the Blue Zones movement is getting torched by The New York Times’ revelation of the manipulation behind their messaging and how they drew inaccurate conclusions from the data they gathered. It all comes down to basics and consistency, so this show will highlight important insights about Shelby’s approach, from details of her weekly training patterns to how she is deliberate about what she does to unwind and rest during the off competitive season, and how she generally balances the physiological impact training has on her body. LINKS: Brad Kearns.com Brad’s Shopping page B.rad Whey Protein Isolate Superfuel - The Best Protein on The Planet! Available in Four Delicious Variations: Vanilla Bean, Cocoa Bean, Peanut Butter, and Unflavored! B.rad Superfruits - Organic Freeze-Dried Exotic Fruit Powder! Natural Electrolyte Hydration & Energy Powder BradKearns.com/olympian-shelby-houlihan-on-elite-training-resiliency-mindset-and-her-2025-comeback/ Shelby Houlihan talks about her controversial and unjust doping suspension in 2022 Instagram @Shelbo800 Join Brad for more fun on: Instagram: @bradkearns1 Facebook: @bradkearnsjumphigh Twitter: @bradleykearns YouTube: @brad.kearns TikTok: @bradkearns We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! Male Optimization Formula with Organs (MOFO): Optimize testosterone naturally with 100% grassfed animal organ supplement Brad's Favorites on Amazon I have a newly organized shopping experience at BradKearns.com/Shop. Visit here and you can navigate to my B.rad Nutrition products (for direct order or Amazon order), my library of online multimedia educational courses, great discounts from my affiliate favorites, and my recommended health&fitness products on Amazon.See omnystudio.com/listener for privacy information.

Wondering what to do for Valentine's Day for all those special Valentines in your life? Bootie and Bossy to the rescue with a recipe for FIVE POUNDS of our Aunt Annie's homemade fudge, also known as “Overseas Fudge” because it will withstand a military transport plane. And that's our Aunt Annie, rocking the yellow pantsuit in the ‘70s—how could it not be good when it comes from her?! The well-spattered recipe from 1968 is fool-proof and delicious, and even if you eat one pound yourself, you'll still have four pounds left to send to everyone else.But there's more to the story here, as we discovered when we read Lee Edwards Benning's Oh Fudge! A Celebration of America's Favorite Candy with Nearly 300 Mouth-Watering, Fully Tested Recipes. While fudge began as an accidental discovery (as its name suggests), it was Emelyn Battersby Hartridge, a freshman at Vassar in 1888, who began the trend of fundraising through fudge-making at women's colleges. Soon the women at Smith and Wellesley had their own recipes that they whipped up over a gas lamp after lights out at 10:00 PM. They even wrote songs about it:We love the sight of the fudge-pan bright,We love the sight of the spoon,And better by far than the light of the starIs the gas, now outshining the moon.Then gather around with whispers profoundFor the bell has rung ten at night,With the transom shut, at our very last cutWe'll sing to the fudge-pan bright . . . --Lee Edwards Benning, Oh Fudge! A Celebration of America's Favorite Candy (New York: Henry Holt), p. 9.Who says that they did not know how to party back then? And fudge-making is still fun now, just like our Aunt Annie, who is also a master of many crafts, including pet portraits! So sing the song to the fudge-pan bright and whip up some chocolate magic—the Cocoa bean is, after all, from the genus Theobroma, Greek for “Food for the Gods.” Then send it off to all your Valentines—they will definitely feel the love!

In der heutigen Folge sind die talentierten Rapperinnen Bounty & Cocoa zu Gast! Die beiden erzählen ihre inspirierende Geschichte darüber, wie sie zur Musik gekommen sind und entdeckt wurden. Dabei geben sie Einblicke in ihren Weg durch die Musikindustrie und sprechen offen darüber, wie es ist, als Frau in diesem Business Fuß zu fassen. Ein zentrales Thema ist auch der Umgang mit Rassismus – sowohl auf der Bühne als auch hinter den Kulissen. Bounty & Cocoa teilen ihre Erfahrungen, Herausforderungen und wie sie diese meistern. Eine ehrliche und spannende Folge über Musik, Empowerment und den Kampf gegen Vorurteile! Alle Kanäle | Bounty & Cocoa https://www.instagram.com/Bountyxcocoa https://www.instagram.com/b3llabounty https://www.instagram.com/realcocoahontaz.rd https://www.facebook.com/p/Bounty-Cocoa-100067099807337/ http://www.youtube.com/@bountycocoa Tickets für die Block Party: https://www.eventim.de/artist/bounty-und-cocoa Alle Kanäle | Die Deutschen https://linktr.ee/diedeutschen

Rocky Schneider with the Downtown Community Partnership shares the news about the upcoming Coffee and Cocoa Crawl, how to get tickets and why Hayden from "Living the Dream Pottery" has been working overtime to make a LOT of handmade mugs!See omnystudio.com/listener for privacy information.

Bienvenue dans le deux-cent-quatre-vingt-huitième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Bambu Lab - La controverse CotEditor - Éditeur en code source AppIconKit - Pour que vos utilisateurs changent l'icône de votre application AutoDock - Cachez votre dock en fonction de la taille de vos écrans Swift concurrency - Un glossaire Ecoutez cet épisode

The Mark Moses Show is joined by new Athletic Director David Kintigh of Cocoa High School to breakdown why he accepted the job and his expectations for year one at Cocoa.  Listen to The Mark Moses Show weekday afternoons from 3-6 pm eastern on Sports Radio 107.9 FM/1560 The Fan & Sportsradio1560.com. You can also listen to Mark Mid days on 95.9 The Rocket. Follow him on social media @markmosesshow #podcast #interview #mosesshow #Football 

Welcome to this special episode of the B.rad podcast, where Brad Kearns visits American record holding middle distance runner Shelby Houlihan at her high-altitude training camp in Flagstaff, AZ. This is an incredibly powerful and in-depth discussion about all aspects of what it's like to compete in elite level sport. Shelby has just completed her four-year layoff from a highly unjust and controversial doping suspension and is returning to competition as the 2025 US and world indoor season approaches. This wide-ranging discussion is a master class on developing the ideal perspective and mindset of a champion athlete. Shelby has been through hell like few other athletes - her livelihood and status in elite sport taken away in an instant with the four-year suspension. Please watch our first interview where we discuss the details of her doping violation and her legal case and the incredible injustice and lack of due process that athletes face if they test positive. We recap it a bit in this show, and You’ll learn about the nuanced dynamics of doping in high level sports., how the system works, and how we might do things better and more fairly. You learn about how a champion athlete has to cultivate a singular focus and narrow mindset but how this can lead to disappointment and frustration when you attach too much of your self esteem to results. its double edge sword but we talk about the sweet spot where you can still be a vicious competitor but also a well-balanced person. You learn about how Shelby spent her off time still training at a high level, doing some incredible time trials, getting a masters in sports psych, and making a great effort to broaden her perspective about life and sport. You learn about the business of T&F, a somewhat unpleasant topic when you realize how even the greatest athletes have very tenuous career prospects. This is a woman who has dedicated her life to elite sport and it was an honor to see such amazing resilience and maturity as she tells her incredible story. You don't have to be a track fan to deeply appreciate this interview. Please listen to the entire riveting two hours as we get the lowdown from someone who is about to go wild on the track and get some more records and titles. TIMESTAMPS: Shelby Houlihan has quite a story to tell about her experience with the anti-doping system. [02:02] After her four-year suspension, Shelby is looking forward to coming back into competition, although she is feeling frustrated. [05:15] For her comeback she still doesn’t want to use super spikes. She wants to run fast naturally not faster because of her shoes. [08:20] There are people, the haters, that don’t believe Shelby’s story. [14:06] Track and Field journalism field is rather small. Have they treated Shelby fairly? [18:09] Even when disqualified, Shelby ran because it was her identity. [20:57] Teaching sports psychology is a good place for her with all her experience. [25:52] A lot of athletes have a hard time with retirement….trying to figure out who they are without competition. [29:57] Has Shelby been able to cheer her friends on even though she, herself, isn’t running? [32:43] The biggest problem with elite athletes is over-training. [38:20] There are many injured athletes that return to competition too soon. If you rush it, you’re going to pay later. [54:48] Upon Shelby’s suspension, she lost her sponsors. [57:53] Unfortunately, some other elite athletes were not supportive of Shelby. Most athletes don’t understand what happens with the testing system. [01:02:11] Many athletes are doping and fans like to watch the sports. [01:08:51] How is Shelby going to handle the comeback? She hopes it will still be fun. [01:12:35] How will the crowd receive her? [01:16:24] How did she handle the fact that she knew she was clean, but had accept the suspension? [01:18:58] How is the team environment with her comeback? [01:22:01] Why are shoe sponsors so important over other products? [01:31:24] The Beer Mile World Championship was a fun challenge. [01:31:41] How much importance does she put on breaking her records? How does aging effect the athlete? [01:42:54] What does Shelby’s training week look like? [01:50:10] LINKS: Brad Kearns.com Brad’s Shopping page B.rad Whey Protein Isolate Superfuel - The Best Protein on The Planet! Available in Three Delicious Flavors: Vanilla Bean and Cocoa Bean and our Newest Flavor, Peanut Butter! B.rad Superfruits - Organic Freeze-Dried Exotic Fruit Powder! Natural Electrolyte Hydration & Energy Powder Shelby Houlihan talks about her controversial and unjust doping suspension in 2022 Instagram @Shelbo800 Podcast with Shelby in 2022 Coe wins in Los Angeles Normatec NY Times article on Ingebrigsten Join Brad for more fun on: Instagram: @bradkearns1 Facebook: @bradkearnsjumphigh Twitter: @bradleykearns YouTube: @brad.kearns TikTok: @bradkearns We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! GAINSWave: Enhance sexual function with high frequency shockwave therapy. Buy 6 and get one treatment free with code: BRAD Take The Cold Plunge online course! B.rad Whey + Creatine Superfuel: Premium quality, all-natural supplement for peak performance, recovery, and longevity. Now available in Vanilla Bean, Cocoa bean, Peanut Butter, and Unflavored! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! 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This is the final episode of our podcast. Thank you so much to everyone who has listened and supported us over the years! We've loved doing the show. The post Episode 626: Something Has To Change appeared first on Core Intuition.

Manton and Daniel catch up on the latest developments in the WordPress vs. WPEngine kerfuffle, and continuing after-effects. They talk about Matt Mullenweg's tendency lately to deliver seemingly calm and encouraging messages that are nonetheless laced with evidence of his spite towards antagonists. Finally they talk about Automattic's decision to reduce its own contribution to WordPress Core development, and the implications for the rest of the WordPress community. The post Episode 625: What Fresh Hell appeared first on Core Intuition.

Bienvenue dans le deux-cent-quatre-vingt-septième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Advent of code - L'expérience de Philippe Bambu Lab - Cadeau de Noël de Philippe SwiftUI - Session en ligne par Apple Aperçus SwiftUI - Ils peuvent prendre de la place Sélecteur d'application - Des raccourcis clavier Kodex - Un éditeur de texte complet pour iOS avec iCloud Drive AquaUI - Un look rétro pour votre application Mac Ecoutez cet épisode

Daniel talks to Manton about his new Micro.one initiative, which aims to bring in new users to Micro.blog. They talk about the risks and rewards of offering a free trial, the sustainability of under-priced web services, and whether Manton can measure the success of his new pricing options. The post Episode 624: Reach More People appeared first on Core Intuition.

Manton ships a new Micro.blog feature for photo collections. Daniel and Manton talk about the virtue of providing third-party APIs to support the same kinds of features as you add them to the platform as first-party features. How to decide when to release a major, paid upgrade? Daniel weighs the possibility of subscription pricing for MarsEdit. And finally, teasing Micro.one and developing features and products in secret so that people can't talk you out of them before they ship. The post Episode 623: Talking Myself Out of It appeared first on Core Intuition.

Happy holidays! We'll be sharing snippets from Latent Space LIVE! through the break bringing you the best of 2024! We want to express our deepest appreciation to event sponsors AWS, Daylight Computer, Thoth.ai, StrongCompute, Notable Capital, and most of all all our LS supporters who helped fund the gorgeous venue and A/V production!For NeurIPS last year we did our standard conference podcast coverage interviewing selected papers (that we have now also done for ICLR and ICML), however we felt that we could be doing more to help AI Engineers 1) get more industry-relevant content, and 2) recap 2024 year in review from experts. As a result, we organized the first Latent Space LIVE!, our first in person miniconference, at NeurIPS 2024 in Vancouver.The single most requested domain was computer vision, and we could think of no one better to help us recap 2024 than our friends at Roboflow, who was one of our earliest guests in 2023 and had one of this year's top episodes in 2024 again. Roboflow has since raised a $40m Series B!LinksTheir slides are here:All the trends and papers they picked:* Isaac Robinson* Sora (see our Video Diffusion pod) - extending diffusion from images to video* SAM 2: Segment Anything in Images and Videos (see our SAM2 pod) - extending prompted masks to full video object segmentation* DETR Dominancy: DETRs show Pareto improvement over YOLOs* RT-DETR: DETRs Beat YOLOs on Real-time Object Detection* LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection* D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement* Peter Robicheaux* MMVP (Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs)* * Florence 2 (Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks) * PalíGemma / PaliGemma 2* PaliGemma: A versatile 3B VLM for transfer* PaliGemma 2: A Family of Versatile VLMs for Transfer* AlMv2 (Multimodal Autoregressive Pre-training of Large Vision Encoders) * Vik Korrapati - MoondreamFull Talk on YouTubeWant more content like this? Like and subscribe to stay updated on our latest talks, interviews, and podcasts.Transcript/Timestamps[00:00:00] Intro[00:00:05] AI Charlie: welcome to Latent Space Live, our first mini conference held at NeurIPS 2024 in Vancouver. This is Charlie, your AI co host. When we were thinking of ways to add value to our academic conference coverage, we realized that there was a lack of good talks, just recapping the best of 2024, going domain by domain.[00:00:36] AI Charlie: We sent out a survey to the over 900 of you. who told us what you wanted, and then invited the best speakers in the Latent Space Network to cover each field. 200 of you joined us in person throughout the day, with over 2, 200 watching live online. Our second featured keynote is The Best of Vision 2024, with Peter Robichaud and Isaac [00:01:00] Robinson of Roboflow, with a special appearance from Vic Corrapati of Moondream.[00:01:05] AI Charlie: When we did a poll of our attendees, the highest interest domain of the year was vision. And so our first port of call was our friends at Roboflow. Joseph Nelson helped us kickstart our vision coverage in episode 7 last year, and this year came back as a guest host with Nikki Ravey of Meta to cover segment Anything 2.[00:01:25] AI Charlie: Roboflow have consistently been the leaders in open source vision models and tooling. With their SuperVision library recently eclipsing PyTorch's Vision library. And Roboflow Universe hosting hundreds of thousands of open source vision datasets and models. They have since announced a 40 million Series B led by Google Ventures.[00:01:46] AI Charlie: Woohoo.[00:01:48] Isaac's picks[00:01:48] Isaac Robinson: Hi, we're Isaac and Peter from Roboflow, and we're going to talk about the best papers of 2024 in computer vision. So, for us, we defined best as what made [00:02:00] the biggest shifts in the space. And to determine that, we looked at what are some major trends that happened and what papers most contributed to those trends.[00:02:09] Isaac Robinson: So I'm going to talk about a couple trends, Peter's going to talk about a trend, And then we're going to hand it off to Moondream. So, the trends that I'm interested in talking about are These are a major transition from models that run on per image basis to models that run using the same basic ideas on video.[00:02:28] Isaac Robinson: And then also how debtors are starting to take over the real time object detection scene from the YOLOs, which have been dominant for years.[00:02:37] Sora, OpenSora and Video Vision vs Generation[00:02:37] Isaac Robinson: So as a highlight we're going to talk about Sora, which from my perspective is the biggest paper of 2024, even though it came out in February. Is the what?[00:02:48] Isaac Robinson: Yeah. Yeah. So just it's a, SORA is just a a post. So I'm going to fill it in with details from replication efforts, including open SORA and related work, such as a stable [00:03:00] diffusion video. And then we're also going to talk about SAM2, which applies the SAM strategy to video. And then how debtors, These are the improvements in 2024 to debtors that are making them a Pareto improvement to YOLO based models.[00:03:15] Isaac Robinson: So to start this off, we're going to talk about the state of the art of video generation at the end of 2023, MagVIT MagVIT is a discrete token, video tokenizer akin to VQ, GAN, but applied to video sequences. And it actually outperforms state of the art handcrafted video compression frameworks.[00:03:38] Isaac Robinson: In terms of the bit rate versus human preference for quality and videos generated by autoregressing on these discrete tokens generate some pretty nice stuff, but up to like five seconds length and, you know, not super detailed. And then suddenly a few months later we have this, which when I saw it, it was totally mind blowing to me.[00:03:59] Isaac Robinson: 1080p, [00:04:00] a whole minute long. We've got light reflecting in puddles. That's reflective. Reminds me of those RTX demonstrations for next generation video games, such as Cyberpunk, but with better graphics. You can see some issues in the background if you look closely, but they're kind of, as with a lot of these models, the issues tend to be things that people aren't going to pay attention to unless they're looking for.[00:04:24] Isaac Robinson: In the same way that like six fingers on a hand. You're not going to notice is a giveaway unless you're looking for it. So yeah, as we said, SORA does not have a paper. So we're going to be filling it in with context from the rest of the computer vision scene attempting to replicate these efforts. So the first step, you have an LLM caption, a huge amount of videos.[00:04:48] Isaac Robinson: This, this is a trick that they introduced in Dolly 3, where they train a image captioning model to just generate very high quality captions for a huge corpus and then train a diffusion model [00:05:00] on that. Their Sora and their application efforts also show a bunch of other steps that are necessary for good video generation.[00:05:09] Isaac Robinson: Including filtering by aesthetic score and filtering by making sure the videos have enough motion. So they're not just like kind of the generators not learning to just generate static frames. So. Then we encode our video into a series of space time latents. Once again, SORA, very sparse in details.[00:05:29] Isaac Robinson: So the replication related works, OpenSORA actually uses a MAG VIT V2 itself to do this, but swapping out the discretization step with a classic VAE autoencoder framework. They show that there's a lot of benefit from getting the temporal compression, which makes a lot of sense as the Each sequential frames and videos have mostly redundant information.[00:05:53] Isaac Robinson: So by compressing against, compressing in the temporal space, you allow the latent to hold [00:06:00] a lot more semantic information while avoiding that duplicate. So, we've got our spacetime latents. Possibly via, there's some 3D VAE, presumably a MAG VATV2 and then you throw it into a diffusion transformer.[00:06:19] Isaac Robinson: So I think it's personally interesting to note that OpenSORA is using a MAG VATV2, which originally used an autoregressive transformer decoder to model the latent space, but is now using a diffusion diffusion transformer. So it's still a transformer happening. Just the question is like, is it?[00:06:37] Isaac Robinson: Parameterizing the stochastic differential equation is, or parameterizing a conditional distribution via autoregression. It's also it's also worth noting that most diffusion models today, the, the very high performance ones are switching away from the classic, like DDPM denoising diffusion probability modeling framework to rectified flows.[00:06:57] Isaac Robinson: Rectified flows have a very interesting property that as [00:07:00] they converge, they actually get closer to being able to be sampled with a single step. Which means that in practice, you can actually generate high quality samples much faster. Major problem of DDPM and related models for the past four years is just that they require many, many steps to generate high quality samples.[00:07:22] Isaac Robinson: So, and naturally, the third step is throwing lots of compute at the problem. So I didn't, I never figured out how to manage to get this video to loop, but we see very little compute, medium compute, lots of compute. This is so interesting because the the original diffusion transformer paper from Facebook actually showed that, in fact, the specific hyperparameters of the transformer didn't really matter that much.[00:07:48] Isaac Robinson: What mattered was that you were just increasing the amount of compute that the model had. So, I love how in the, once again, little blog posts, they don't even talk about [00:08:00] like the specific hyperparameters. They say, we're using a diffusion transformer, and we're just throwing more compute at it, and this is what happens.[00:08:08] Isaac Robinson: OpenSora shows similar results. The primary issue I think here is that no one else has 32x compute budget. So we end up with these we end up in the middle of the domain and most of the related work, which is still super, super cool. It's just a little disappointing considering the context. So I think this is a beautiful extension of the framework that was introduced in 22 and 23 for these very high quality per image generation and then extending that to videos.[00:08:39] Isaac Robinson: It's awesome. And it's GA as of Monday, except no one can seem to get access to it because they keep shutting down the login.[00:08:46] SAM and SAM2[00:08:46] Isaac Robinson: The next, so next paper I wanted to talk about is SAM. So we at Roboflow allow users to label data and train models on that data. Sam, for us, has saved our users 75 years of [00:09:00] labeling time.[00:09:00] Isaac Robinson: We are the, to the best of my knowledge, the largest SAM API that exists. We also, SAM also allows us to have our users train just pure bounding box regression models and use those to generate high quality masks which has the great side effect of requiring less training data to have a meaningful convergence.[00:09:20] Isaac Robinson: So most people are data limited in the real world. So anything that requires less data to get to a useful thing is that super useful. Most of our users actually run their object per frame object detectors on every frame in a video, or maybe not most, but many, many. And so Sam follows into this category of taking, Sam 2 falls into this category of taking something that really really works and applying it to a video which has the wonderful benefit of being plug and play with most of our Many of our users use cases.[00:09:53] Isaac Robinson: We're, we're still building out a sufficiently mature pipeline to take advantage of that, but it's, it's in the works. [00:10:00] So here we've got a great example. We can click on cells and then follow them. You even notice the cell goes away and comes back and we can still keep track of it which is very challenging for existing object trackers.[00:10:14] Isaac Robinson: High level overview of how SAM2 works. We there's a simple pipeline here where we can give, provide some type of prompt and it fills out the rest of the likely masks for that object throughout the rest of the video. So here we're giving a bounding box in the first frame, a set of positive negative points, or even just a simple mask.[00:10:36] Isaac Robinson: I'm going to assume people are somewhat familiar with SAM. So I'm going to just give a high level overview of how SAM works. You have an image encoder that runs on every frame. SAM two can be used on a single image, in which case the only difference between SAM two and SAM is that image encoder, which Sam used a standard VIT [00:11:00] Sam two replaced that with a hara hierarchical encoder, which gets approximately the same results, but leads to a six times faster inference, which is.[00:11:11] Isaac Robinson: Excellent, especially considering how in a trend of 23 was replacing the VAT with more efficient backbones. In the case where you're doing video segmentation, the difference is that you actually create a memory bank and you cross attend the features from the image encoder based on the memory bank.[00:11:31] Isaac Robinson: So the feature set that is created is essentially well, I'll go more into it in a couple of slides, but we take the features from the past couple frames, plus a set of object pointers and the set of prompts and use that to generate our new masks. Then we then fuse the new masks for this frame with the.[00:11:57] Isaac Robinson: Image features and add that to the memory bank. [00:12:00] It's, well, I'll say more in a minute. The just like SAM, the SAM2 actually uses a data engine to create its data set in that people are, they assembled a huge amount of reference data, used people to label some of it and train the model used the model to label more of it and asked people to refine the predictions of the model.[00:12:20] Isaac Robinson: And then ultimately the data set is just created from the engine Final output of the model on the reference data. It's very interesting. This paradigm is so interesting to me because it unifies a model in a dataset in a way that is very unique. It seems unlikely that another model could come in and have such a tight.[00:12:37] Isaac Robinson: So brief overview of how the memory bank works, the paper did not have a great visual, so I'm just, I'm going to fill in a bit more. So we take the last couple of frames from our video. And we take the last couple of frames from our video attend that, along with the set of prompts that we provided, they could come from the future, [00:13:00] they could come from anywhere in the video, as well as reference object pointers, saying, by the way, here's what we've found so far attending to the last few frames has the interesting benefit of allowing it to model complex object motion without actually[00:13:18] Isaac Robinson: By limiting the amount of frames that you attend to, you manage to keep the model running in real time. This is such an interesting topic for me because one would assume that attending to all of the frames is super essential, or having some type of summarization of all the frames is super essential for high performance.[00:13:35] Isaac Robinson: But we see in their later ablation that that actually is not the case. So here, just to make sure that there is some benchmarking happening, we just compared to some of the stuff that's came out prior, and indeed the SAM2 strategy does improve on the state of the art. This ablation deep in their dependencies was super interesting to me.[00:13:59] Isaac Robinson: [00:14:00] We see in section C, the number of memories. One would assume that increasing the count of memories would meaningfully increase performance. And we see that it has some impact, but not the type that you'd expect. And that it meaningfully decreases speed, which justifies, in my mind, just having this FIFO queue of memories.[00:14:20] Isaac Robinson: Although in the future, I'm super interested to see A more dedicated summarization of all of the last video, not just a stacking of the last frames. So that another extension of beautiful per frame work into the video domain.[00:14:42] Realtime detection: DETRs > YOLO[00:14:42] Isaac Robinson: The next trend I'm interested in talking about is this interesting at RoboFlow, we're super interested in training real time object detectors.[00:14:50] Isaac Robinson: Those are bread and butter. And so we're doing a lot to keep track of what is actually happening in that space. We are finally starting to see something change. So, [00:15:00] for years, YOLOs have been the dominant way of doing real time object detection, and we can see here that they've essentially stagnated.[00:15:08] Isaac Robinson: The performance between 10 and 11 is not meaningfully different, at least, you know, in this type of high level chart. And even from the last couple series, there's not. A major change so YOLOs have hit a plateau, debtors have not. So we can look here and see the YOLO series has this plateau. And then these RT debtor, LW debtor, and Define have meaningfully changed that plateau so that in fact, the best Define models are plus 4.[00:15:43] Isaac Robinson: 6 AP on Cocoa at the same latency. So three major steps to accomplish this. The first RT deditor, which is technically a 2023 paper preprint, but published officially in 24, so I'm going to include that. I hope that's okay. [00:16:00] That is showed that RT deditor showed that we could actually match or out speed YOLOs.[00:16:04] Isaac Robinson: And then LWdebtor showed that pre training is hugely effective on debtors and much less so on YOLOs. And then DeFine added the types of bells and whistles that we expect from these types, this, this arena. So the major improvements that RTdebtor shows was Taking the multi scale features that debtors typically pass into their encoder and decoupling them into a much more efficient transformer encoder.[00:16:30] Isaac Robinson: The transformer is of course, quadratic complexity. So decreasing the amount of stuff that you pass in at once is super helpful for increasing your runtime or increasing your throughput. So that change basically brought us up to yellow speed and then they do a hardcore analysis on. Benchmarking YOLOs, including the NMS step.[00:16:54] Isaac Robinson: Once you once you include the NMS in the latency calculation, you see that in fact, these debtors [00:17:00] are outperforming, at least this time, the the, the YOLOs that existed. Then LW debtor goes in and suggests that in fact, the frame, the huge boost here is from pre training. So, this is the define line, and this is the define line without pre training.[00:17:19] Isaac Robinson: It's within range, it's still an improvement over the YOLOs, but Really huge boost comes from the benefit of pre training. When YOLOx came out in 2021, they showed that they got much better results by having a much, much longer training time, but they found that when they did that, they actually did not benefit from pre training.[00:17:40] Isaac Robinson: So, you see in this graph from LWdebtor, in fact, YOLOs do have a real benefit from pre training, but it goes away as we increase the training time. Then, the debtors converge much faster. LWdebtor trains for only 50 epochs, RTdebtor is 60 epochs. So, one could assume that, in fact, [00:18:00] the entire extra gain from pre training is that you're not destroying your original weights.[00:18:06] Isaac Robinson: By relying on this long training cycle. And then LWdebtor also shows superior performance to our favorite data set, Roboflow 100 which means that they do better on the real world, not just on Cocoa. Then Define throws all the bells and whistles at it. Yellow models tend to have a lot of very specific complicated loss functions.[00:18:26] Isaac Robinson: This Define brings that into the debtor world and shows consistent improvement on a variety of debtor based frameworks. So bring these all together and we see that suddenly we have almost 60 AP on Cocoa while running in like 10 milliseconds. Huge, huge stuff. So we're spending a lot of time trying to build models that work better with less data and debtors are clearly becoming a promising step in that direction.[00:18:56] Isaac Robinson: The, what we're interested in seeing [00:19:00] from the debtors in this, this trend to next is. Codetter and the models that are currently sitting on the top of the leaderboard for large scale inference scale really well as you switch out the backbone. We're very interested in seeing and having people publish a paper, potentially us, on what happens if you take these real time ones and then throw a Swingy at it.[00:19:23] Isaac Robinson: Like, do we have a Pareto curve that extends from the real time domain all the way up to the super, super slow but high performance domain? We also want to see people benchmarking in RF100 more, because that type of data is what's relevant for most users. And we want to see more pre training, because pre training works now.[00:19:43] Isaac Robinson: It's super cool.[00:19:48] Peter's Picks[00:19:48] Peter Robicheaux: Alright, so, yeah, so in that theme one of the big things that we're focusing on is how do we get more out of our pre trained models. And one of the lenses to look at this is through sort of [00:20:00] this, this new requirement for like, how Fine grained visual details and your representations that are extracted from your foundation model.[00:20:08] Peter Robicheaux: So it's sort of a hook for this Oh, yeah, this is just a list of all the the papers that I'm going to mention I just want to make sure I set an actual paper so you can find it later[00:20:18] MMVP (Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs)[00:20:18] Peter Robicheaux: Yeah, so sort of the big hook here is that I make the claim that LLMs can't see if you go to if you go to Claude or ChatGPT you ask it to see this Watch and tell me what time it is, it fails, right?[00:20:34] Peter Robicheaux: And so you could say, like, maybe, maybe the Like, this is, like, a very classic test of an LLM, but you could say, Okay, maybe this, this image is, like, too zoomed out, And it just, like, it'll do better if we increase the resolution, And it has easier time finding these fine grained features, Like, where the watch hands are pointing.[00:20:53] Peter Robicheaux: Nodice. And you can say, okay, well, maybe the model just doesn't know how to tell time from knowing the position of the hands. But if you actually prompt [00:21:00] it textually, it's very easy for it to tell the time. So this to me is proof that these LLMs literally cannot see the position of the watch hands and it can't see those details.[00:21:08] Peter Robicheaux: So the question is sort of why? And for you anthropic heads out there, cloud fails too. So the, the, my first pick for best paper of 2024 Envision is this MMVP paper, which tries to investigate the Why do LLMs not have the ability to see fine grained details? And so, for instance, it comes up with a lot of images like this, where you ask it a question that seems very visually apparent to us, like, which way is the school bus facing?[00:21:32] Peter Robicheaux: And it gets it wrong, and then, of course, it makes up details to support its wrong claim. And so, the process by which it finds these images is sort of contained in its hypothesis for why it can't. See these details. So it hypothesizes that models that have been initialized with, with Clip as their vision encoder, they don't have fine grained details and the, the features extracted using Clip because Clip sort of doesn't need to find these fine grained [00:22:00] details to do its job correctly, which is just to match captions and images, right?[00:22:04] Peter Robicheaux: And sort of at a high level, even if ChatGPT wasn't initialized with Clip and wasn't trained contrastively at all. The vision encoder wasn't trained contrastively at all. Still, in order to do its job of capturing the image it could do a pretty good job without actually finding the exact position of all the objects and visual features in the image, right?[00:22:21] Peter Robicheaux: So This paper finds a set of difficult images for these types of models. And the way it does it is it looks for embeddings that are similar in clip space, but far in DynaV2 space. So DynaV2 is a foundation model that was trained self supervised purely on image data. And it kind of uses like some complex student teacher framework, but essentially, and like, it patches out like certain areas of the image or like crops with certain areas of the image and tries to make sure that those have consistent representations, which is a way for it to learn very fine grained visual features.[00:22:54] Peter Robicheaux: And so if you take things that are very close in clip space and very far in DynaV2 space, you get a set of images [00:23:00] that Basically, pairs of images that are hard for a chat GPT and other big language models to distinguish. So, if you then ask it questions about this image, well, as you can see from this chart, it's going to answer the same way for both images, right?[00:23:14] Peter Robicheaux: Because to, to, from the perspective of the vision encoder, they're the same image. And so if you ask a question like, how many eyes does this animal have? It answers the same for both. And like all these other models, including Lava do the same thing, right? And so this is the benchmark that they create, which is like finding clip, like clip line pairs, which is pairs of images that are similar in clip space and creating a data set of multiple choice questions based off of those.[00:23:39] Peter Robicheaux: And so how do these models do? Well, really bad. Lava, I think, So, so, chat2BT and Jim and I do a little bit better than random guessing, but, like, half of the performance of humans who find these problems to be very easy. Lava is, interestingly, extremely negatively correlated with this dataset. It does much, much, much, much worse [00:24:00] than random guessing, which means that this process has done a very good job of identifying hard images for, for Lava, specifically.[00:24:07] Peter Robicheaux: And that's because Lava is basically not trained for very long and is initialized from Clip, and so You would expect it to do poorly on this dataset. So, one of the proposed solutions that this paper attempts is by basically saying, Okay, well if clip features aren't enough, What if we train the visual encoder of the language model also on dyno features?[00:24:27] Peter Robicheaux: And so it, it proposes two different ways of doing this. One, additively which is basically interpolating between the two features, and then one is interleaving, which is just kind of like training one on the combination of both features. So there's this really interesting trend when you do the additive mixture of features.[00:24:45] Peter Robicheaux: So zero is all clip features and one is all DynaV2 features. So. It, as you, so I think it's helpful to look at the right most chart first, which is as you increase the number of DynaV2 features, your model does worse and worse and [00:25:00] worse on the actual language modeling task. And that's because DynaV2 features were trained completely from a self supervised manner and completely in image space.[00:25:08] Peter Robicheaux: It knows nothing about text. These features aren't really compatible with these text models. And so you can train an adapter all you want, but it seems that it's in such an alien language that it's like a very hard optimization for this. These models to solve. And so that kind of supports what's happening on the left, which is that, yeah, it gets better at answering these questions if as you include more dyna V two features up to a point, but then you, when you oversaturate, it completely loses its ability to like.[00:25:36] Peter Robicheaux: Answer language and do language tasks. So you can also see with the interleaving, like they essentially double the number of tokens that are going into these models and just train on both, and it still doesn't really solve the MMVP task. It gets Lava 1. 5 above random guessing by a little bit, but it's still not close to ChachiPT or, you know, Any like human performance, obviously.[00:25:59] Peter Robicheaux: [00:26:00] So clearly this proposed solution of just using DynaV2 features directly, isn't going to work. And basically what that means is that as a as a vision foundation model, DynaV2 is going to be insufficient for language tasks, right?[00:26:14] Florence 2 (Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks)[00:26:14] Peter Robicheaux: So my next pick for best paper of 2024 would be Florence 2, which tries to solve this problem by incorporating not only This dimension of spatial hierarchy, which is to say pixel level understanding, but also in making sure to include what they call semantic granularity, which ends up, the goal is basically to have features that are sufficient for finding objects in the image, so they're, they're, they have enough pixel information, but also can be talked about and can be reasoned about.[00:26:44] Peter Robicheaux: And that's on the semantic granularity axis. So here's an example of basically three different paradigms of labeling that they do. So they, they create a big dataset. One is text, which is just captioning. And you would expect a model that's trained [00:27:00] only on captioning to have similar performance like chat2BT and like not have spatial hierarchy, not have features that are meaningful at the pixel level.[00:27:08] Peter Robicheaux: And so they add another type, which is region text pairs, which is essentially either classifying a region or You're doing object detection or doing instance segmentation on that region or captioning that region. And then they have text phrased region annotations, which is essentially a triple. And basically, not only do you have a region that you've described, you also find it's like, It's placed in a descriptive paragraph about the image, which is basically trying to introduce even more like semantic understanding of these regions.[00:27:39] Peter Robicheaux: And so like, for instance, if you're saying a woman riding on the road, right, you have to know what a woman is and what the road is and that she's on top of it. And that's, that's basically composing a bunch of objects in this visual space, but also thinking about it semantically, right? And so the way that they do this is they take basically they just dump Features from a vision encoder [00:28:00] straight into a encoder decoder transformer.[00:28:03] Peter Robicheaux: And then they train a bunch of different tasks like object detection and so on as a language task. And I think that's one of the big things that we saw in 2024 is these, these vision language models operating in, on pixel space linguistically. So they introduced a bunch of new tokens to point to locations and[00:28:22] Peter Robicheaux: So how does it work? How does it actually do? We can see if you look at the graph on the right, which is using the, the Dino, the the Dino framework your, your pre trained Florence 2 models transfer very, very well. They get 60%, 60 percent map on Cocoa, which is like approaching state of the art and they train[00:28:42] Vik Korrapati: with, and they[00:28:43] Peter Robicheaux: train with a much more more efficiently.[00:28:47] Peter Robicheaux: So they, they converge a lot faster, which both of these things are pointing to the fact that they're actually leveraging their pre trained weights effectively. So where is it falling short? So these models, I forgot to mention, Florence is a 0. 2 [00:29:00] billion and a 0. 7 billion parameter count. So they're very, very small in terms of being a language model.[00:29:05] Peter Robicheaux: And I think that. This framework, you can see saturation. So, what this graph is showing is that if you train a Florence 2 model purely on the image level and region level annotations and not including the pixel level annotations, like this, segmentation, it actually performs better as an object detector.[00:29:25] Peter Robicheaux: And what that means is that it's not able to actually learn all the visual tasks that it's trying to learn because it doesn't have enough capacity.[00:29:32] PalíGemma / PaliGemma 2[00:29:32] Peter Robicheaux: So I'd like to see this paper explore larger model sizes, which brings us to our next big paper of 2024 or two papers. So PolyGemma came out earlier this year.[00:29:42] Peter Robicheaux: PolyGemma 2 was released, I think like a week or two ago. Oh, I forgot to mention, you can actually train You can, like, label text datasets on RoboFlow and you can train a Florence 2 model and you can actually train a PolyGemma 2 model on RoboFlow, which we got into the platform within, like, 14 hours of release, which I was really excited about.[00:29:59] Peter Robicheaux: So, anyway, so [00:30:00] PolyGemma 2, so PolyGemma is essentially doing the same thing, but instead of doing an encoder decoder, it just dumps everything into a decoder only transformer model. But it also introduced the concept of location tokens to point to objects in pixel space. PolyGemma 2, so PolyGemma uses Gemma as the language encoder, and it uses Gemma2B.[00:30:17] Peter Robicheaux: PolyGemma 2 introduces using multiple different sizes of language encoders. So, the way that they sort of get around having to do encoder decoder is they use the concept of prefix loss. Which basically means that when it's generating, tokens autoregressively, it's all those tokens in the prefix, which is like the image that it's looking at and like a description of the task that it's trying to do.[00:30:41] Peter Robicheaux: They're attending to each other fully, full attention. Which means that, you know, it can sort of. Find high level it's easier for the, the prefix to color, to color the output of the suffix and also to just find like features easily. So this is sort of [00:31:00] an example of like one of the tasks that was trained on, which is like, you describe the task in English and then you give it all these, like, You're asking for it to segment these two classes of objects, and then it finds, like, their locations using these tokens, and it finds their masks using some encoding of the masks into tokens.[00:31:24] Peter Robicheaux: And, yeah, so, one of my critiques, I guess, of PolyGemma 1, at least, is that You find that performance saturates as a pre trained model after only 300 million examples seen. So, what this graph is representing is each blue dot is a performance on some downstream task. And you can see that after seeing 300 million examples, It sort of does equally well on all of the downtrend tasks that they tried it on, which was a lot as 1 billion examples, which to me also kind of suggests a lack of capacity for this model.[00:31:58] Peter Robicheaux: PolyGemma2, [00:32:00] you can see the results on object detection. So these were transferred to to Coco. And you can see that this sort of also points to an increase in capacity being helpful to the model. You can see as. Both the resolution increases, and the parameter count of the language model increases, performance increases.[00:32:16] Peter Robicheaux: So resolution makes sense, obviously, it helps to find small images, or small objects in the image. But it also makes sense for another reason, which is that it kind of gives the model a thinking register, and it gives it more tokens to, like, process when making its predictions. But yeah, you could, you could say, oh, 43.[00:32:30] Peter Robicheaux: 6, that's not that great, like Florence 2 got 60. But this is not Training a dino or a debtor on top of this language or this image encoder. It's doing the raw language modeling task on Cocoa. So it doesn't have any of the bells and whistles. It doesn't have any of the fancy losses. It doesn't even have bipartite graph matching or anything like that.[00:32:52] Peter Robicheaux: Okay, the big result and one of the reasons that I was really excited about this paper is that they blow everything else away [00:33:00] on MMVP. I mean, 47. 3, sure, that's nowhere near human accuracy, which, again, is 94%, but for a, you know, a 2 billion language, 2 billion parameter language model to be chat2BT, that's quite the achievement.[00:33:12] Peter Robicheaux: And that sort of brings us to our final pick for paper of the year, which is AIMV2. So, AIMV2 sort of says, okay, Maybe this language model, like, maybe coming up with all these specific annotations to find features and with high fidelity and pixel space isn't actually necessary. And we can come up with an even simpler, more beautiful idea for combining you know, image tokens and pixel tokens in a way that's interfaceable for language tasks.[00:33:44] Peter Robicheaux: And this is nice because it can scale, you can come up with lots more data if you don't have to come up with all these annotations, right? So the way that it works. is it does something very, very similar to PolyGemo, where you have a vision encoder that dumps image tokens into a decoder only transformer.[00:33:59] Peter Robicheaux: But [00:34:00] the interesting thing is that it also autoregressively tries to learn the mean squared error of the image tokens. So instead of having to come up with fancy object detection or semantic, or segment, or segmentation labels, you can just try to reconstruct the image and have it learn fine grained features that way.[00:34:16] Peter Robicheaux: And it does this in kind of, I think, a beautiful way that's kind of compatible with the PolyGemma line of thinking, which is randomly sampling a prefix line of thinking Prefix length and using only this number of image tokens as the prefix. And so doing a similar thing with the causal. So the causal with prefix is the, the attention mask on the right.[00:34:35] Peter Robicheaux: So it's doing full block attention with some randomly sampled number of image tokens to then reconstruct the rest of the image and the downstream caption for that image. And so, This is the dataset that they train on. It's image or internet scale data, very high quality data created by the data filtering networks paper, essentially which is maybe The best clip data that exists.[00:34:59] Peter Robicheaux: [00:35:00] And we can see that this is finally a model that doesn't saturate. It's even at the highest parameter count, it's, it appears to be, oh, at the highest parameter account, it appears to be improving in performance with more and more samples seen. And so you can sort of think that. You know, if we just keep bumping the parameter count and increasing the example scene, which is the, the, the line of thinking for language models, then it'll keep getting better.[00:35:27] Peter Robicheaux: So how does it actually do at finding, oh, it also improves with resolution, which you would expect for a model that This is the ImageNet classification accuracy, but yeah, it does better if you increase the resolution, which means that it's actually leveraging and finding fine grained visual features.[00:35:44] Peter Robicheaux: And so how does that actually do compared to CLIP on Cocoa? Well, you can see that if you slap a transformer detection head on it, Entry now in Cocoa, it's just 60. 2, which is also within spitting distance of Soda, which means that it does a very good job of [00:36:00] finding visual features, but you could say, okay, well, wait a second.[00:36:03] Peter Robicheaux: Clip got to 59. 1, so. Like, how does this prove your claim at all? Because doesn't that mean like clip, which is known to be clip blind and do badly on MMVP, it's able to achieve a very high performance on fine, on this fine grained visual features task of object detection, well, they train on like, Tons of data.[00:36:24] Peter Robicheaux: They train on like objects, 365, Cocoa, Flickr and everything else. And so I think that this benchmark doesn't do a great job of selling how good of a pre trained model MV2 is. And we would like to see the performance on fewer data as examples and not trained to convergence on object detection. So seeing it in the real world on like a dataset, like RoboFlow 100, I think would be quite interesting.[00:36:48] Peter Robicheaux: And our, our, I guess our final, final pick for paper of 2024 would be Moondream. So introducing Vic to talk about that.[00:36:54] swyx: But overall, that was exactly what I was looking for. Like best of 2024, an amazing job. Yeah, you can, [00:37:00] if there's any other questions while Vic gets set up, like vision stuff,[00:37:07] swyx: yeah,[00:37:11] swyx: Vic, go ahead. Hi,[00:37:13] Vik Korrapati / Moondream[00:37:13] question: well, while we're getting set up, hi, over here, thanks for the really awesome talk. One of the things that's been weird and surprising is that the foundation model companies Even these MLMs, they're just like worse than RT Tether at detection still. Like, if you wanted to pay a bunch of money to auto label your detection dataset, If you gave it to OpenAI or Cloud, that would be like a big waste.[00:37:37] question: So I'm curious, just like, even Pali Gemma 2, like is worse. So, so I'm curious to hear your thoughts on like, how come, Nobody's cracked the code on like a generalist that really you know, beats a specialist model in computer vision like they have in in LLM land.[00:38:00][00:38:01] Isaac Robinson: Okay. It's a very, very interesting question. I think it depends on the specific domain. For image classification, it's basically there. In the, in AIMv2 showed, a simple attentional probe on the pre trained features gets like 90%, which is as well as anyone does. The, the, the, the bigger question, like, why isn't it transferring to object detection, especially like real time object detection.[00:38:25] Isaac Robinson: I think, in my mind, there are two answers. One is, object detection is really, really, really the architectures are super domain specific. You know, we see these, all these super, super complicated things, and it's not super easy to, to, to build something that just transfers naturally like that, whereas image classification, you know, clip pre training transfers super, super quickly.[00:38:48] Isaac Robinson: And the other thing is, until recently, the real time object detectors didn't even really benefit from pre training. Like, you see the YOLOs that are like, essentially saturated, showing very little [00:39:00] difference with pre training improvements, with using pre trained model at all. It's not surprising, necessarily, that People aren't looking at the effects of better and better pre training on real time detection.[00:39:12] Isaac Robinson: Maybe that'll change in the next year. Does that answer your question?[00:39:17] Peter Robicheaux: Can you guys hear me? Yeah, one thing I want to add is just like, or just to summarize, basically, is that like, Until 2024, you know, we haven't really seen a combination of transformer based object detectors and fancy losses, and PolyGemma suffers from the same problem, which is basically to say that these ResNet, or like the convolutional models, they have all these, like, extreme optimizations for doing object detection, but essentially, I think it's kind of been shown now that convolution models like just don't benefit from pre training and just don't like have the level of intelligence of transformer models.[00:39:56] swyx: Awesome. Hi,[00:39:59] Vik Korrapati: can [00:40:00] you hear me?[00:40:01] swyx: Cool. I hear you. See you. Are you sharing your screen?[00:40:04] Vik Korrapati: Hi. Might have forgotten to do that. Let me do[00:40:07] swyx: that. Sorry, should have done[00:40:08] Vik Korrapati: that.[00:40:17] swyx: Here's your screen. Oh, classic. You might have to quit zoom and restart. What? It's fine. We have a capture of your screen.[00:40:34] swyx: So let's get to it.[00:40:35] Vik Korrapati: Okay, easy enough.[00:40:49] Vik Korrapati: All right. Hi, everyone. My name is Vic. I've been working on Moondream for almost a year now. Like Shawn mentioned, I just went and looked and it turns out the first version I released December [00:41:00] 29, 2023. It's been a fascinating journey. So Moonbeam started off as a tiny vision language model. Since then, we've expanded scope a little bit to also try and build some tooling, client libraries, et cetera, to help people really deploy it.[00:41:13] Vik Korrapati: Unlike traditional large models that are focused at assistant type use cases, we're laser focused on building capabilities that developers can, sorry, it's yeah, we're basically focused on building capabilities that developers can use to build vision applications that can run anywhere. So, in a lot of cases for vision more so than for text, you really care about being able to run on the edge, run in real time, etc.[00:41:40] Vik Korrapati: So That's really important. We have we have different output modalities that we support. There's query where you can ask general English questions about an image and get back human like answers. There's captioning, which a lot of our users use for generating synthetic datasets to then train diffusion models and whatnot.[00:41:57] Vik Korrapati: We've done a lot of work to minimize those sessions there. [00:42:00] So that's. Use lot. We have open vocabulary object detection built in similar to a couple of more recent models like Palagem, et cetera, where rather than having to train a dedicated model, you can just say show me soccer balls in this image or show me if there are any deer in this image, it'll detect it.[00:42:14] Vik Korrapati: More recently, earlier this month, we released pointing capability where if all you're interested in is the center of an object you can just ask it to point out where that is. This is very useful when you're doing, you know, I automation type stuff. Let's see, LA we, we have two models out right now.[00:42:33] Vik Korrapati: There's a general purpose to be para model, which runs fair. Like it's, it's it's fine if you're running on server. It's good for our local Amma desktop friends and it can run on flagship, flagship mobile phones, but it never. so much for joining us today, and we'll see you in the [00:43:00] next one. Less memory even with our not yet fully optimized inference client.[00:43:06] Vik Korrapati: So the way we built our 0. 5b model was to start with the 2 billion parameter model and prune it while doing continual training to retain performance. We, our objective during the pruning was to preserve accuracy across a broad set of benchmarks. So the way we went about it was to estimate the importance of different components of the model, like attention heads, channels MLP rows and whatnot using basically a technique based on the gradient.[00:43:37] Vik Korrapati: I'm not sure how much people want to know details. We'll be writing a paper about this, but feel free to grab me if you have more questions. Then we iteratively prune a small chunk that will minimize loss and performance retrain the model to recover performance and bring it back. The 0. 5b we released is more of a proof of concept that this is possible.[00:43:54] Vik Korrapati: I think the thing that's really exciting about this is it makes it possible for for developers to build using the 2B param [00:44:00] model and just explore, build their application, and then once they're ready to deploy figure out what exactly they need out of the model and prune those capabilities into a smaller form factor that makes sense for their deployment target.[00:44:12] Vik Korrapati: So yeah, very excited about that. Let me talk to you folks a little bit about another problem I've been working on recently, which is similar to the clocks example we've been talking about. We had a customer reach out who was talking about, like, who had a bunch of gauges out in the field. This is very common in manufacturing and oil and gas, where you have a bunch of analog devices that you need to monitor.[00:44:34] Vik Korrapati: It's expensive to. And I was like, okay, let's have humans look at that and monitor stuff and make sure that the system gets shut down when the temperature goes over 80 or something. So I was like, yeah, this seems easy enough. Happy to, happy to help you distill that. Let's, let's get it going. Turns out our model couldn't do it at all.[00:44:51] Vik Korrapati: I went and looked at other open source models to see if I could just generate a bunch of data and learn from that. Did not work either. So I was like, let's look at what the folks with [00:45:00] hundreds of billions of dollars in market cap have to offer. And yeah, that doesn't work either. My hypothesis is that like the, the way these models are trained are using a large amount of image text data scraped from the internet.[00:45:15] Vik Korrapati: And that can be biased. In the case of gauges, most gauge images aren't gauges in the wild, they're product images. Detail images like these, where it's always set to zero. It's paired with an alt text that says something like GIVTO, pressure sensor, PSI, zero to 30 or something. And so the models are fairly good at picking up those details.[00:45:35] Vik Korrapati: It'll tell you that it's a pressure gauge. It'll tell you what the brand is, but it doesn't really learn to pay attention to the needle over there. And so, yeah, that's a gap we need to address. So naturally my mind goes to like, let's use synthetic data to, Solve this problem. That works, but it's problematic because it turned out we needed millions of synthetic gauge images to get to reasonable performance.[00:45:57] Vik Korrapati: And thinking about it, reading a gauge is like [00:46:00] not a one, like it's not a zero short process in our minds, right? Like if you had to tell me the reading in Celsius for this, Real world gauge. There's two dials on there. So first you have to figure out which one you have to be paying attention to, like the inner one or the outer one.[00:46:14] Vik Korrapati: You look at the tip of the needle, you look at what labels it's between, and you count how many and do some math to figure out what that probably is. So what happens if we just add that as a Chain of thought to give the model better understanding of the different sub, to allow the model to better learn the subtasks it needs to perform to accomplish this goal.[00:46:37] Vik Korrapati: So you can see in this example, this was actually generated by the latest version of our model. It's like, okay, Celsius is the inner scale. It's between 50 and 60. There's 10 ticks. So the second tick, it's a little debatable here, like there's a weird shadow situation going on, the dial is off, so I don't know what the ground truth is, but it works okay.[00:46:57] Vik Korrapati: There's points on there that are, the points [00:47:00] over there are actually grounded. I don't know if this is easy to see, but when I click on those, there's a little red dot that moves around on the image. The model actually has to predict where this points are, I was already trying to do this with bounding boxes, but then Malmo came out with pointing capabilities.[00:47:15] Vik Korrapati: And it's like pointing is a much better paradigm to to represent this. We see pretty good results. This one's actually for clock reading. I couldn't find our chart for gauge reading at the last minute. So the light. Blue chart is with our rounded chain of thought. This measures, we have, we built a clock reading benchmark about 500 images.[00:47:37] Vik Korrapati: This measures accuracy on that. You can see it's a lot more sample efficient when you're using the chain of thought to model. Another big benefit from this approach is like, you can kind of understand how the model is. it and how it's failing. So in this example, the actual correct reading is 54 Celsius, the model output [00:48:00] 56, not too bad but you can actually go and see where it messed up. Like it got a lot of these right, except instead of saying it was on the 7th tick, it actually predicted that it was the 8th tick and that's why it went with 56.[00:48:14] Vik Korrapati: So now that you know that this. Failing in this way, you can adjust how you're doing the chain of thought to maybe say like, actually count out each tick from 40, instead of just trying to say it's the eighth tick. Or you might say like, okay, I see that there's that middle thing, I'll count from there instead of all the way from 40.[00:48:31] Vik Korrapati: So helps a ton. The other thing I'm excited about is a few short prompting or test time training with this. Like if a customer has a specific gauge that like we're seeing minor errors on, they can give us a couple of examples where like, if it's miss detecting the. Needle, they can go in and correct that in the chain of thought.[00:48:49] Vik Korrapati: And hopefully that works the next time. Now, exciting approach, we only apply it to clocks and gauges. The real question is, is it going to generalize? Probably, like, there's some science [00:49:00] from text models that when you train on a broad number of tasks, it does generalize. And I'm seeing some science with our model as well.[00:49:05] Vik Korrapati: So, in addition to the image based chain of thought stuff, I also added some spelling based chain of thought to help it understand better understand OCR, I guess. I don't understand why everyone doesn't do this, by the way. Like, it's trivial benchmark question. It's Very, very easy to nail. But I also wanted to support it for stuff like license plate, partial matching, like, hey, does any license plate in this image start with WHA or whatever?[00:49:29] Vik Korrapati: So yeah, that sort of worked. All right, that, that ends my story about the gauges. If you think about what's going on over here it's interesting that like LLMs are showing enormous. Progress in reasoning, especially with the latest set of models that we've seen, but we're not really seeing, I have a feeling that VLMs are lagging behind, as we can see with these tasks that should be very simple for a human to do [00:50:00] that are very easy to find VLMs failing at.[00:50:04] Vik Korrapati: My hypothesis on why this is the case is because On the internet, there's a ton of data that talks about how to reason. There's books about how to solve problems. There's books critiquing the books about how to solve problems. But humans are just so good at perception that we never really talk about it.[00:50:20] Vik Korrapati: Like, maybe in art books where it's like, hey, to show that that mountain is further away, you need to desaturate it a bit or whatever. But the actual data on how to, like, look at images is, isn't really present. Also, the Data we have is kind of sketched. The best source of data we have is like image all text pairs on the internet and that's pretty low quality.[00:50:40] Vik Korrapati: So yeah, I, I think our solution here is really just we need to teach them how to operate on individual tasks and figure out how to scale that out. All right. Yep. So conclusion. At Moondream we're trying to build amazing PLMs that run everywhere. Very hard problem. Much work ahead, but we're making a ton of progress and I'm really excited [00:51:00] about If anyone wants to chat about more technical details about how we're doing this or interest in collaborating, please, please hit me up.[00:51:08] Isaac Robinson: Yeah,[00:51:09] swyx: like, I always, when people say, when people say multi modality, like, you know, I always think about vision as the first among equals in all the modalities. So, I really appreciate having the experts in the room. Get full access to Latent Space at www.latent.space/subscribe

Send us a textEpisode 92 - S4 - What Not to do When Starting CBT-IReview: Ryze https://a.co/d/fafStnwI have tried personally for one month Ryze Coffee, Cocoa and Creamer.  I want to try Chai and there is a Matcha that Dan wants to try.In this episode, Dan and Michelle discuss the common pitfalls when starting Cognitive Behavioral Therapy for Insomnia (CBT-I). They share personal anecdotes, product reviews, and practical advice on how to improve your sleep. They also highlight the importance of having realistic expectations and focusing on one goal at a time for effective sleep improvement. The episode wraps up with tips for creating a sustainable sleep hygiene routine and a preview of their upcoming year-end review.00:00 Introduction and Studio Setup00:56 Podcast Evolution and Listener Engagement02:10 Upcoming Events and Listener Invitation06:15 Product Review: Ryze Mushroom Products11:57 Focus of the Episode: Starting CBT-I22:25 Advice on Maintaining Sleep Hygiene22:59 Closing Remarks and Year-End PreviewTheme music "Happy Days by FSM Team" courtesy of https://www.free-stock-music.com Support the showPlease go to the following page to support the show: https://www.buzzsprout.com/1692604/support www.youtube.com/@sleeptakeoutwww.danielbaughn.comwww.dosleep.comsleeptakeout@gmail.com

Manton is working on a new feature for Micro.blog, with particular attention to the Mac app. Daniel is refactoring MarsEdit and taking advantage of Swift 6 concurrency. Manton and Daniel talk about the latest announcements from OpenAI and the potential impact to software developers of the AI era. The post Episode 622: What Am I Here For? appeared first on Core Intuition.

In this latest episode of Brand Growth Heroes, we're over the moon (as always) to welcome back one of our favourite guests, Ben Greensmith, Country Manager for the UK and Ireland of Tony's Chocolonely.Since we last chatted to Ben on the show, Tony's Chocolonely has not only achieved impressive sales growth in the UK but has also made remarkable strides in driving positive change within the cocoa industry.In this episode, Ben and Fiona dive deep into the progress Tony's Chocolonely has made, covering:Their growth and performance and market share in the UKExciting new product launches and brand innovationsBut most importantly, the impact of Tony's Open Chain on the Cocoa industry.We also discuss the brand's unique approach to marketing, including:The learnings from their Advent Calendar launchThe UK Sweet Solutions campaign that captured media attentionBalancing awareness of critical cocoa supply chain issues with Tony's playful tone of voice—all while reminding consumers just how delicious their chocolate tastesWhat's happening next?Useful Links:Tony's Chocolonely WebsiteTony's Chocolonely LinkedInBen Greensmith LinkedInFollow Tony's Chocolonely on InstagramFollow Tony's Chocolonely on FacebookIf this episode inspires you to think about new ways to drive business growth, don't forget to click FOLLOW or SUBSCRIBE on your favourite podcast app and leave a review!You won't want to miss the next episode, in which Fiona Fitz talks with another successful founder of a challenger brand who shares more valuable insights into driving growth. Plus, your small gesture will be truly appreciated.If you find Brand Growth Heroes episodes useful, then imagine spending 12 weeks on a Mini MBA programme run by host Fiona Fitz: The Brand Growth Heroes Mini MBA 2025 powered by Alantra will be open for applications on January 6th.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.

Welcome to The Gun Experiment. On this episode we sit down with a sociology professor who specializes in gun culture and discuss liberal gun owners in our current political climate. We release new content every Tuesday morning so be sure to subscribe and share the show with friends. Subscribe hereToday's Episode is brought to you by Cooper's Cask Coffee. Product Highlight: Colombian Dark Roast which is grown from volcanic soil rich in minerals and nutrients Tasting Notes: Rustic Sweetness, a Hint of Cocoa and Dark Fruit NotesSubscribe and save 10%Free Shipping on orders over $50To get yourself some fantastic coffee head to CoffeewithMikeandKeith.comWays to support the show:1. Join our mailing list: Thegunexperiment.com 2. Subscribe and leave us a comment on Apple or Spotify3. Follow us on all of our social media: Instagram Twitter Youtube Facebook4. Be a part of our growing community, join our Discord page!5. Be sure to support the sponsors of the show. They are an integral part of making the show possible.Ask us anything at AskMikeandKeith@gmail.comGet Your Gun Experiment Merch HereToday's Interview is brought to you by Onsight Firearms Training. All of the instructors at Onsight are true professionals. They are always improving their craft and are very dedicated to improving the shooting skills of their students. Check them out at oftllc.us and get trained by the same outfit that trains The Gun Experiment. I. Interview Today's guest is a sociology professor at Wake Forest University and an internationally recognized scholarly authority on guns in America. An Asian American and lifelong liberal from the San Francisco Bay Area, he became a first-time gun owner as a 42-year-old and began a 12-year journey into the complex world of firearms in America. He is the author of the book “Gun Curious: A Liberal Professor's Surprising Journey Inside America's Gun Culture”; please welcome David Yamane to the show. II. Run and Gun III. Let's Mix It UpToday on Let's Mix It Up we are going to discuss...

News includes Saša Jurić updating his project for "The Soul of Erlang and Elixir" talk with the latest technologies, the release of Phoenix LiveView RC 8 with exciting new features, ErrorTracker v0.5.0's enhancements for Ash applications, and the introduction of the NX MLX backend for Apple Silicon, offering efficient machine learning on Mac hardware. Plus, a new VS Code plugin called "Refactorex" brings robust refactoring capabilities to Elixir. We also interview Gonzalo Rodriguez about Tower, a vendor-agnostic error tracking and reporting tool in Elixir, discussing its creation, functionality, and how it simplifies error management across various services. And more! Show Notes online - http://podcast.thinkingelixir.com/232 (http://podcast.thinkingelixir.com/232) Elixir Community News https://x.com/sasajuric/status/1863889108449337415 (https://x.com/sasajuric/status/1863889108449337415?utm_source=thinkingelixir&utm_medium=shownotes) – Saša Jurić updated the project used in his "The Soul of Erlang and Elixir" talk, rewriting it with the latest versions of Erlang, Elixir, & Phoenix. https://github.com/sasa1977/souloferlangandelixir (https://github.com/sasa1977/soul_of_erlang_and_elixir?utm_source=thinkingelixir&utm_medium=shownotes) – The updated GitHub project for "The Soul of Erlang and Elixir" talk, now using the latest technologies. https://www.youtube.com/watch?v=JvBT4XBdoUE (https://www.youtube.com/watch?v=JvBT4XBdoUE?utm_source=thinkingelixir&utm_medium=shownotes) – Saša Jurić's 2019 talk "The Soul of Erlang and Elixir" is available on YouTube. https://github.com/phoenixframework/phoenixliveview/blob/main/CHANGELOG.md#100-rc8-2024-12-02 (https://github.com/phoenixframework/phoenix_live_view/blob/main/CHANGELOG.md#100-rc8-2024-12-02?utm_source=thinkingelixir&utm_medium=shownotes) – Phoenix LiveView RC 8 is out, with new features like extended HEEx syntax and more. From RC7, there is support for targeting inner and closest query selectors in JS commands. https://x.com/crbelaus/status/1861450830181720333 (https://x.com/crbelaus/status/1861450830181720333?utm_source=thinkingelixir&utm_medium=shownotes) – ErrorTracker v0.5.0 release includes support for Ash applications, better mobile experience, and more. https://bsky.app/profile/samrat.me/post/3lbzwr7gxmk2q (https://bsky.app/profile/samrat.me/post/3lbzwr7gxmk2q?utm_source=thinkingelixir&utm_medium=shownotes) – The NX MLX backend for Apple Silicon is announced, offering efficient machine learning on Apple hardware. https://github.com/elixir-nx/emlx (https://github.com/elixir-nx/emlx?utm_source=thinkingelixir&utm_medium=shownotes) – GitHub repository for NX MLX, Elixir support for the Apple MLX machine learning framework on Apple Silicon. MLX is designed by Apple for efficient machine learning on MacOS hardware. https://github.com/cocoa-xu/nif_call (https://github.com/cocoa-xu/nif_call?utm_source=thinkingelixir&utm_medium=shownotes) – Cocoa's nif_call package allows calling Elixir functions from inside a NIF. https://bsky.app/profile/zachdaniel.dev/post/3lc2leowiek26 (https://bsky.app/profile/zachdaniel.dev/post/3lc2leowiek26?utm_source=thinkingelixir&utm_medium=shownotes) – Zach Daniel's ElixirConf EU talk on the Ash framework is available on YouTube. https://www.youtube.com/watch?v=vjnPjrCF4rs (https://www.youtube.com/watch?v=vjnPjrCF4rs?utm_source=thinkingelixir&utm_medium=shownotes) – Ash: The Story of a Function by Zach Daniel explains why Ash exists and the problems it solves. https://github.com/gp-pereira/refactorex (https://github.com/gp-pereira/refactorex?utm_source=thinkingelixir&utm_medium=shownotes) – New VS Code plugin "Refactorex" by Gabriel Pereira for refactoring Elixir code with several built-in refactorings. https://adventofcode.com/2024/ (https://adventofcode.com/2024/?utm_source=thinkingelixir&utm_medium=shownotes) – Advent of Code is active, with people participating using their favorite programming languages. https://notes.club (https://notes.club?utm_source=thinkingelixir&utm_medium=shownotes) – A platform that hosts a frontend of Livebooks on GitHub, organized by author, likes, and tags, useful for exploring how people are solving Advent of Code problems in Elixir. https://github.com/ljgago/kino_aoc (https://github.com/ljgago/kino_aoc?utm_source=thinkingelixir&utm_medium=shownotes) – A GitHub repository for a Livebook Smart Cell which aids in solving Advent of Code directly from Livebook. https://github.com/nettinho/smaoc (https://github.com/nettinho/smaoc?utm_source=thinkingelixir&utm_medium=shownotes) – Another Livebook Smart Cell repository on GitHub for Advent of Code that facilitates problem interaction within Livebook. Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Discussion Resources https://www.mimiquate.com/blog/tower-universal-and-agnostic-elixir-exception-tracking (https://www.mimiquate.com/blog/tower-universal-and-agnostic-elixir-exception-tracking?utm_source=thinkingelixir&utm_medium=shownotes) https://github.com/mimiquate/tower (https://github.com/mimiquate/tower?utm_source=thinkingelixir&utm_medium=shownotes) – The root Tower project https://github.com/mimiquate/tower_email (https://github.com/mimiquate/tower_email?utm_source=thinkingelixir&utm_medium=shownotes) – Email sending when error encountered (uses Swoosh) https://github.com/mimiquate/towererrortracker (https://github.com/mimiquate/tower_error_tracker?utm_source=thinkingelixir&utm_medium=shownotes) https://github.com/mimiquate/tower_sentry (https://github.com/mimiquate/tower_sentry?utm_source=thinkingelixir&utm_medium=shownotes) https://github.com/mimiquate/tower_slack (https://github.com/mimiquate/tower_slack?utm_source=thinkingelixir&utm_medium=shownotes) Pull requests for the mentioned Bandit updates https://github.com/mtrudel/bandit/pull/411 (https://github.com/mtrudel/bandit/pull/411?utm_source=thinkingelixir&utm_medium=shownotes) https://github.com/mtrudel/bandit/pull/417 (https://github.com/mtrudel/bandit/pull/417?utm_source=thinkingelixir&utm_medium=shownotes) https://github.com/mtrudel/bandit/pull/420 (https://github.com/mtrudel/bandit/pull/420?utm_source=thinkingelixir&utm_medium=shownotes) Guest Information https://x.com/grzuy (https://x.com/grzuy?utm_source=thinkingelixir&utm_medium=shownotes) – on Twitter/X https://github.com/grzuy/ (https://github.com/grzuy/?utm_source=thinkingelixir&utm_medium=shownotes) – on Github https://bsky.app/profile/grzuy.bsky.social (https://bsky.app/profile/grzuy.bsky.social?utm_source=thinkingelixir&utm_medium=shownotes) – on Bluesky Find us online Message the show - Bluesky (https://bsky.app/profile/thinkingelixir.com) Message the show - X (https://x.com/ThinkingElixir) Message the show on Fediverse - @ThinkingElixir@genserver.social (https://genserver.social/ThinkingElixir) Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) Mark Ericksen on X - @brainlid (https://x.com/brainlid) Mark Ericksen on Bluesky - @brainlid.bsky.social (https://bsky.app/profile/brainlid.bsky.social) Mark Ericksen on Fediverse - @brainlid@genserver.social (https://genserver.social/brainlid) David Bernheisel on Bluesky - @david.bernheisel.com (https://bsky.app/profile/david.bernheisel.com) David Bernheisel on Fediverse - @dbern@genserver.social (https://genserver.social/dbern)

The Cabin is presented by the Wisconsin Counties Association and this week we're featuring Dodge County; https://bit.ly/41nXt9pThe Cabin is also presented by GHT; https://bit.ly/3YigPJyCampfire Conversation: In this episode, we explore Wisconsin's Hot Cocoa Trail, highlighting the top spots and can't-miss events dedicated to this beloved winter beverage. Discover the rich history of hot cocoa, from its origins with the Mayans to the innovative contributions of Wisconsinite Charles Sanna, who created the first instant hot chocolate. The episode features exciting events like the Cocoa and Cider Walk in Watertown, where participants can enjoy $10 hot cocoa and cider while strolling through local shops. We'll also take you to charming locations such as The Chocolate Cafe in Wausau, known for its Belgian Drinking Chocolate and cocoa bombs, and Twisted Oak Coffee House in Prescott, which offers a cozy atmosphere for enjoying a variety of cocoa drinks. Additionally, we'll delve into unique trends like hot chocolate bombs and unicorn hot cocoa, ensuring you are well-equipped to embark on your own delicious journeys through Wisconsin's cocoa culture.Inside Sponsors:Enbridge; https://bit.ly/4hrKqcg

Manton tells Daniel about the accidental mini-disaster he caused at Micro.blog while daring to deploy changes while on a cruise. They talk about the risk of losing trust with users when you make mistakes, especially repeatedly, and how unit testing might be a good protection against such problems. Then they talk more about Bluesky's recent surge in popularity, and prospects for the future of the open web. The post Episode 621: You’re Totally Gonna Pay For It appeared first on Core Intuition.

Holmberg's Morning Sickness - Brady Report - Tuesday November 19, 2024 Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dennis and Reggie chit-chat and answer questions from their devoted listeners. Plus an encore episode, “Cuckoo for Cocoa!” If you have a question for Dennis, leave him a voicemail at 1-888-7WOW-WOW. Your question might just end up on WeWow on the Weekend! For more WeWow visit https://bit.ly/3nkbEuo. Originally aired 10/7/23.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.