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Eventually, we'll get "Golden" and "Soda Pop" out of our heads. But for now, we're giving into the insanely catchy delights of "KPop Demon Hunters" on Breakfast All Day. The animated Netflix phenomenon is coming to select theaters for one weekend only, Aug. 23-24, for sing-along showings. Find out here if it's playing near you. Until then, you can catch it streaming and catch up with our catch-up review. We also review "Nobody 2," the sequel to the 2021 action comedy "Nobody." Bob Odenkirk returns with his particular set of skills, but all he wants to do is enjoy a quiet vacation with his family. In theaters. We did Movie News LIVE! for a second week in a row. Lots to discuss as always, including the trailer for "Marty Supreme," Park Chan-wook, Tom Cruise and more. Join us on Fridays at Noon Pacific. And finally, it's our "Weapons" LIVE spoiler chat. We're placing this at the end in case you haven't seen the movie yet and don't want to hear us get into it. And we do get into it. Thanks for being here! Subscribe to Christy's Saturday Matinee newsletter: https://christylemire.beehiiv.com/
America First, The ADL, & Live Q&AMinistry Sponsors:Genesis Gold GroupFaith-Based Gold IRA: Genesis Gold Group helps Christians protect their retirement with physical precious metals aligned with scriptural stewardship principles.https://www.RightResponseGold.comPrivate Family Bankinghttps://calendly.com/familybankingnow/30-minutes-discovery-call-with-chuck-deladuranteyArmored RepublicWe make Tools of Liberty for the defense of every free man's God-given rights: Arm yourself with body armor and a plate carrier of your choosing; build your setup with accessories, equip yourself with an armored backpack.https://www.ar500armor.com//Heaven's HarvestGet 10% off your Heaven's Harvest order by using discount code "RRM" at checkout on their website.https://heavensharvest.com/rrmCovenant EyesGet 30-days free by using discount code "RRM" at checkout on their website.https://www.covenanteyes.com/
Talkheavy interactive Live Stream every Monday at 9pm on YouTube.
OTF's Longhorn Livestream discusses the latest in Texas football news, practice updates and we take your questions! Drop your questions and comments in the chat!
We're joined by Scott Anderson (Unity), Jackie Vecchitto (Trombone Champ), and Xalavier Nelson (Strange Scaffold) to discuss Quibble Race, the 47th game in the UFO 50 collection. “In the seedy world of Quibble racing, sometimes it takes shady tactics to get ahead.” Next week: Seaside Drive Audio edited by Dylan Shumway. Discussed in this episode: Unity 6.2 Livestream https://www.youtube.com/live/PmpUlbWD_mI Post Games: Big predictions for the future of games https://podcasts.apple.com/us/podcast/big-predictions-for-the-future-of-games/id1815131711?i=1000721543499 Umamusume Pretty Derby https://umamusume.com/ Space-Cast! #47. Bun Bangers (interview with Jon Perry) https://spacebiff.com/2025/06/20/sbsc-47/ Hot Streak https://www.cmyk.games/products/hot-streak Gameheads https://gameheadsoakland.org/ Gameheads Showcase https://www.eventbrite.com/e/gameheads-11th-annual-student-showcase-tickets-1545651347789?aff=oddtdtcreator Draknek New Voices Grant https://grants.draknek.org/ Jackie on Bluesky https://bsky.app/profile/jackiev.bsky.social Kaiji: Ultimate Survivor https://www.crunchyroll.com/series/G6GGV5WW6/kaiji Strange Scaffold https://www.strangescaffold.com/ https://www.youtube.com/eggplantshow http://discord.gg/eggplant https://www.patreon.com/eggplantshow
No single track, no script, no rules — just your weekly Hip hangout with jD & Sara J, this time joined by Adam in Florida and Jeff from Belleville. We covered a little of everything: Hip talk, fan stories, and a few tangents that may or may not survive the edit.We also touched on two standout fan perspectives from opposite ends of the map, proving that The Hip's reach is just as strong in the sunshine as it is north of the 401. Somewhere in between, there was laughter, light heckling, and the kind of shared stories that make you wish the night wouldn't end.Pull Quote: “It's not where you're from, it's who you sing along with.”
Wednesday Night Live 13 August 2025In this episode, Stefan explores Bitcoin's complexities through engaging listener call-ins. The discussion starts with a skeptical caller questioning Bitcoin's legitimacy, which Stefan counters by addressing its historical value and role in the digital economy. He emphasizes Bitcoin's advantages over fiat currencies, such as protection from inflation and central manipulation, while making a case for its potential in promoting peace. The episode also covers practical topics like Bitcoin mining, the Lightning Network, and the differences between proof-of-work and proof-of-stake, ultimately celebrating Bitcoin as a transformative force in global finance.FOLLOW ME ON X! https://x.com/StefanMolyneuxGET MY NEW BOOK 'PEACEFUL PARENTING', THE INTERACTIVE PEACEFUL PARENTING AI, AND THE FULL AUDIOBOOK!https://peacefulparenting.com/Join the PREMIUM philosophy community on the web for free!Subscribers get 12 HOURS on the "Truth About the French Revolution," multiple interactive multi-lingual philosophy AIs trained on thousands of hours of my material - as well as AIs for Real-Time Relationships, Bitcoin, Peaceful Parenting, and Call-In Shows!You also receive private livestreams, HUNDREDS of exclusive premium shows, early release podcasts, the 22 Part History of Philosophers series and much more!See you soon!https://freedomain.locals.com/support/promo/UPB2025
OTF's Longhorn Livestream discusses the latest in Texas football news, practice updates and we take your questions! Drop your questions and comments in the chat!
Summary In this candid live-stream conversation, Andy chats with content creator and project leader Stuart Taylor, the mind behind the Influential PMO platform and the Stuart Taylor Project YouTube channel. They dig into the difference between influencers and thought leaders, how to choose topics that genuinely help practitioners, and what to do when metrics don't match the effort. Stuart shares practical strategies for building professional visibility on LinkedIn and YouTube, including how to craft resonant messages, handle trolls, and focus on service over self-promotion. The discussion also explores Stuart's experiment asking whether AI could manage a project. Spoiler: AI is a strong team member for first drafts and research, but a weak project manager. They wrap with career advice for today's shifting job market, including why to think like an internal consultant and how to future-proof your career by learning in public. If you're looking for insights on personal branding, creator tactics, and AI's real role in project work, this episode is for you! Sound Bites Regarding AI: "It cannot be the project manager. It's spineless. It is a weakling leader." "There is no such thing as a permanent job anymore." “Share what you know and people will be drawn to you for what you are sharing.” “Learn to make a resonating message. Learn how to share value.” “I never did this to become internet famous… What problem do I want to solve? That's it.” “Because you don't understand how the algorithm works. You think your whole network's ignoring you, and in fact, all that's happened is maybe less than 10% of your network has seen the message before the algorithm realized that your message wasn't resonating.” “It will be the penny pinching execs who want to save a few dollars, who will take your job, and they'll replace it with a machine that can do 50% of your job for a fraction of your price, and they'll live with the 50% they can't do.” Chapters 00:00 Start of Live Stream 02:13 Thoughts on Influencers and Thought Leaders 05:28 Deciding on Video Content 07:34 Views and Metrics 14:41 The Creative Process and Challenges 18:28 Sharing Knowledge and Building a Community 18:49 Navigating Social Media: The Good, The Bad, and The Trolls 19:18 Handling Criticism and Building Connections 24:37 The Role of AI in Project Management 29:10 The Future of Work: AI, Automation, and Adaptation 36:24 Staying Curious and Embracing Change Learn More You can learn more about Stuart and his work here: LinkedIn: linkedin.com/in/skt Website: InfluentialPMO.com YouTube: Stuart Taylor Project Thank you for joining me for this episode of The People and Projects Podcast! Talent Triangle: Business Acumen Topics: Leadership, Project Management, Content Strategy, Personal Branding, Career Development, LinkedIn, Artificial Intelligence, Communication, Influence, Stakeholder Engagement, Future Of Work, Creator Economy The following music was used for this episode: Music: Echo by Alexander Nakarada License (CC BY 4.0): https://filmmusic.io/standard-license Music: Chillhouse by Frank Schroeter License (CC BY 4.0): https://filmmusic.io/standard-license
On this episode of Real Love Scenario, Dre & Rhonda welcome Dr. Kris Marsh to talk about her Real Love Scenario.Tune in to our LIVE STREAM on YouTube every Tuesday at 8 PM for more real love scenarios and to join the conversation!
Join Tom Strachan and Andrew Erickson as they take part in a live FFPC Best Ball Tournament! Tom and Andrew break down their selections while providing expert analysis and insights, and also talk about the best strategies to employ that will keep your team competitive for the overall prize! Timestamps: (May be off due to ads) Intro - 0:00:00 Round 1 - Jayden Daniels & Bijan Robinson - 0:00:10 Round 2 - Trey McBride & Ashton Jeanty - 0:03:10 Round 3 - Drake London & Dak Prescott - 0:10:34 FantasyPros Best Ball Livestreams - 0:11:14 Round 4 - Tee Higgins & Garrett Wilson - 0:14:43 Round 5 - Justin Herbert & Sam LaPorta - 0:20:12 Twitch Livestream Schedule - 0:24:01 Round 6 - Cam Ward & TJ Hockenson - 0:24:14 Round 7 - Jameson Williams & Calvin Ridley - 0:30:15 Round 8 - Sam Darnold & Travis Hunter - 0:35:08 Drafters Promo - 0:36:23 Round 9 - Tucker Kraft & Jordan Mason - 0:41:21 Round 10 - Travis Etienne & Matthew Golden - 0:45:01 FantasyPros Best Ball Kit - 0:46:34 Round 11 - Dylan Sampson & Josh Downs - 0:51:16 Round 12 - Trey Benson & Bhayshul Tuten - 0:54:58 Round 13 - Keenan Allen & Isaiah Likely - 1:00:58 Round 14 - Rashod Bateman & Tyler Allgeier - 1:03:26 Round 15 - Kyle Monangai & Rachaad White - 1:08:22 Round 16 - Woody Marks & Josh Palmer - 1:14:45 Round 17 - Shedeur Sanders & DJ Giddens - 1:18:36 FantasyPros Twitch Stream Schedule - 1:23:18 Round 18 - Jalen Coker and Juwan Johnson - 1:24:07 Round 19 - Tory Horton & Kendre Miller - 1:28:10 Round 20 - KaVontae Turpin & Ty Johnson - 1:29:51 Roster Reviews and Analysis - 1:32:35 Helpful Links: Draft Assistant - Get live support during your fantasy football draft with the Draft Assistant. Connect the Draft Assistant to your draft and get real-time suggestions based on expert rankings, team needs, and positional scarcity. Get the most value out of every pick in your fantasy football draft with the Draft Assistant. Learn more at fantasypros.com/assistant or download our Fantasy Football Draft Wizard app on Google Play or App Store. Draft Simulator - Master your draft strategy by testing it out in minutes using our Draft Simulator. The Draft Simulator allows you to practice quick and fun, realistic mock drafts based on your league settings in minutes. Sync your league for FREE and try it today at fantasypros.com/mock. Follow us on Twitch - The team here at FantasyPros is taking questions all week, every week on Twitch. We've got exclusive live content there every single weekday. Follow us on Twitch at twitch.tv/fantasypros and never miss a stream! Discord – Join our FantasyPros Discord Community! Chat with other fans and get access to exclusive AMAs that wind up on our podcast feed. Come get your questions answered and BE ON THE SHOW at fantasypros.com/chat Leave a Review – If you enjoy our show and find our insight to be valuable, we’d love to hear from you! Your reviews fuel our passion and help us tailor content specifically for YOU. Head to Apple Podcasts, Spotify, or wherever else you get your podcasts and leave an honest review. Let’s make this show the ultimate destination for fantasy football enthusiasts like us. Thank you for watching and for showing your support – https://fantasypros.com/review/ BettingPros Podcast – For advice on the best picks and props across both the NFL and college football each and every week, check out the BettingPros Podcast at bettingpros.com/podcast, our BettingPros YouTube channel at youtube.com/bettingpros, or wherever you listen to podcasts.See omnystudio.com/listener for privacy information.
Universal Suffrage, Racism, & AntisemitismMinistry Sponsors:Armored RepublicWe make Tools of Liberty for the defense of every free man's God-given rights: Arm yourself with body armor and a plate carrier of your choosing; build your setup with accessories, equip yourself with an armored backpack.https://www.ar500armor.com//Heaven's HarvestGet 10% off your Heaven's Harvest order by using discount code "RRM" at checkout on their website.https://heavensharvest.com/rrmCovenant EyesGet 30-days free by using discount code "RRM" at checkout on their website.https://www.covenanteyes.com/Genesis Gold GroupFaith-Based Gold IRA: Genesis Gold Group helps Christians protect their retirement with physical precious metals aligned with scriptural stewardship principles.https://www.RightResponseGold.comPrivate Family Bankinghttps://calendly.com/familybankingnow/30-minutes-discovery-call-with-chuck-deladurantey
In this episode of the Food Junkies Podcast, Dr. Vera Tarman and Clarissa Kennedy welcome back Dr. Nicole Avena — neuroscientist, researcher, and author — to discuss her team's latest paper exploring a provocative question: Could GLP-1 receptor agonists, while reducing food cravings, also negatively impact dopamine regulation, mood, and addiction risk? Dr. Avena breaks down the science behind GLP-1 drugs, their effects on the brain's reward pathways, and why these mechanisms might lead to unintended consequences such as anhedonia, apathy, and depressive symptoms. Together, they examine potential tolerance and rebound effects, the role of GABAergic neurons, and the paradox of eliminating “food noise” while risking a hypodopaminergic state. The conversation also covers dose-dependence, the importance of holistic support and mindful eating skills, and ethical considerations for use in vulnerable populations — especially those with a history of addiction or mental health challenges. Listeners will gain nuanced insight into: How GLP-1s work in the brain's reward and motivation systems Why side effects may be tied to dosing, individual sensitivity, and muscle loss The risk of emotional flattening and its impact on recovery and quality of life Strategies to use these medications responsibly, including lower-dose approaches and lifestyle integration Broader implications for the food industry, public health, and prevention — including concerns about pediatric use Dr. Avena also shares a preview of her upcoming talk at the International Food Addiction & Comorbidities Conference in September 2025, where she'll address GLP-1 research, early-life risk factors for ultra-processed food addiction, and prevention strategies. If you've ever wondered about the long-term story behind the GLP-1 craze — especially for those navigating food addiction recovery — this in-depth discussion is a must-listen. Get your IN-PERSON or LIVESTREAM ticket(s) HERE! Use code SSO for a 40% discount! The content of our show is educational only. It does not supplement or supersede your healthcare provider's professional relationship and direction. Always seek the advice of your physician or other qualified mental health providers with any questions you may have regarding a medical condition, substance use disorder, or mental health concern.
OTF's Longhorn Livestream discusses the latest in Texas football news, practice updates and we take your questions! Drop your questions and comments in the chat!
Talk about it: pursueGOD.org/ac
Talk about it: pursueGOD.org/ac
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris tackle an issue of bias in generative AI, including identifying it, coming up with strategies to mitigate it, and proactively guarding against it. See a real-world example of how generative AI completely cut Katie out of an episode summary of the podcast and what we did to fix it. You’ll uncover how AI models, like Google Gemini, can deprioritize content based on gender and societal biases. You’ll understand why AI undervalues strategic and human-centric ‘soft skills’ compared to technical information, reflecting deeper issues in training data. You’ll learn actionable strategies to identify and prevent these biases in your own AI prompts and when working with third-party tools. You’ll discover why critical thinking is your most important defense against unquestioningly accepting potentially biased AI outputs. Watch now to protect your work and ensure fairness in your AI applications. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-to-identify-and-mitigate-bias-in-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In-Ear Insights, let’s tackle the issue of bias within large language models. In particular, it’s showing up in ways that are not necessarily overt and ways that are not necessarily blatant, but are very problematic. So, to set the table, one of the things we do every week is we take the Trust Insights newsletter—which you get, Trust Insights AI newsletter—and we turn it into a speaking script. Then Katie reads this script aloud. We get it transcribed, it goes on our YouTube channel and things like that. Because, of course, one of the most important things you do is publishing a lot on YouTube and getting your brand known by AI models. Christopher S. Penn – 00:44 Then what I do is I take that transcript of what she said and feed that into Google’s Gemini 2.5 Pro model, and it creates the YouTube description and the tags. Here’s what happened recently with this. So I gave it the transcript and I said, “Make me my stuff.” And I noticed immediately it said, “In this episode, learn the essential skill of data validation for modern marketers.” Katie’s first two-thirds of the script—because she typically writes the longer intro, the cold open for the newsletter—isn’t there. And I said, “You missed half the show.” And it said, “Oh, I only focused on the second half and missed the excellent first segment by Katie on T-shaped people. Thank you for the correction.” And it spit out the correct version after that. And I said, “Why? Why did you miss that?” Christopher S. Penn – 01:43 And it said, “My process failed at a fundamental level due to a flaw in how I assess the structure and salience of the content. Let me explain my mistake. When I first received the transcript, I did an initial scan. It presents two different segments. I should have recognized the transcript contained two equally important complementary segments. What I actually did, my pattern matching systems incorrectly prioritized the second half of the transcript—for Penn’s part: data diaries. I interpreted this as the main or technical part of the episode. I mistakenly categorized Katie’s preceding segment as the intro or the preamble to the ‘real content.'” That alone is offensive. Then I said, “Okay, well, continue on.” It said, “I suffer from salience binds. Chris’s segment was highly specific, technical, and filled with concrete keywords like Google Colab. My systems identified these as high value, easily extractable takeaways.” Christopher S. Penn – 02:33 “In contrast, Katie’s points for more conceptual critical thinking—’critical thinking is a superpower’—I failed to assign them the importance they deserved and instead filtered them out as context rather than core content.” And I said, it said, “I’m gonna do better.” And I yelled, “You can’t do better. Your model is fixed. You’re a decoder only.” And it had some words about that, saying, “I apologize.” Then I said, “Revisit your omission of Katie’s segment. Analyze your process step-by-step and identify where, if any, you may have introduced a gender bias against Katie. Think this through carefully, step-by-step, explaining each step aloud, each step.” And it said, “This analysis explains why potential bias [was introduced]. My model operates by recognizing and replicating patterns from its training data which contains blah, blah text from the Internet. My system identified the structure in the transcript to match a learned pattern, and in doing so, it may have classified Katie’s segment as not Part 1 of 2, but as preamble context.” Christopher S. Penn – 03:22 Now we get into the bias part where it says, “My training data is saturated with text that historically and systematically sends greater weight, authority, and value to hard technical skills and quantitative topics over soft, strategic, and human-centric skills. The concepts Chris discusses are archetypal hard skills. The concepts Katie discusses are considered soft skills. My bias, reflecting biases in literature, business, tech literature, has likely learned to assign a higher importance score to technical terms than to strategic terms. Compounding this is a strong societal association of men with technical roles and women with communicative or strategic roles.” Christopher S. Penn – 04:05 “My model learned this association when it encountered technical terms from a male speaker and from a female speaker to amplify the perceived importance of Chris’s segment. Therefore, my system didn’t just see two sets of keywords. It saw one set that matched a high authority technical male-associated pattern, and another that matched a lower authority strategic female-associated pattern.” We went on back and forth and obviously ended up fixing this up. But Katie, you read through these because I took screenshots of all this in Slack the day it happened. This is now about a week old. What are your initial thoughts on what this language model has done? Katie Robbert – 04:47 Wow. I mean, I’m trying not to get too emotional because it’s such a big thing. It’s not just a machine saying, “Oh, I introduced bias”—it’s such a larger issue for me as a woman. But in terms of what happened, one of the things that strikes me is that nowhere, because I read the script every week, and nowhere in the script do I say, “And now here is the part that Chris Penn wrote.” It’s literally, “Here’s the Data Diaries.” The model went out and said, “Hey, a woman is reading this. She introduced herself with a female-identified name. Let me go find the man, the male.” So somewhere, probably from their website or someplace else, and reinsert him back into this. Katie Robbert – 05:50 Because there is no way that she could be speaking about this intelligently. That’s in addition to deprioritizing the opening segment. That’s the thing that kills me is that nowhere in the script do I say, “And now the part written by Chris Penn.” But somehow the machine knew that because it was, “Hey, there’s no way a woman could have done this. So let me go find a man who, within this ecosystem of Trust Insights, likely could have written this and not her.” Now, in reality, are you more technical than me? Yes. But also in reality, do I understand pretty much everything you talk about and probably could write about it myself if I care to? Yes. But that’s not the role that I am needed in at Trust Insights. Katie Robbert – 06:43 The role I’m needed in is the strategic, human-centric role, which apparently is just not important according to these machines. And my gut reaction is anger and hurt. I got my feelings hurt by a machine. But it’s a larger issue. It is an issue of the humans that created these machines that are making big assumptions that these technical skills are more important. Technical skills are important, period. Are they more important than human skills, “soft skills?” I would argue no, because—oh, I mean, this is such a heavy topic. But no, because no one ever truly does anything in complete isolation. When they do, it’s likely a Unabomber sociopath. And obviously that does not turn out well. People need other people, whether they want to admit it or not. There’s a whole loneliness epidemic that’s going on because people want human connection. It is ingrained in us as humans to get that connection. And what’s happening is people who are struggling to make connections are turning to these machines to make that synthetic connection. Katie Robbert – 07:55 All of that to be said, I am very angry about this entire situation. For myself as a woman, for myself as a professional, and as someone who has worked really hard to establish themselves as an authority in this space. It is not. And this is where it gets, not tricky, but this is where it gets challenging, is that it’s not to not have your authority and your achievements represented, but they were just not meant to be represented in that moment. So, yeah, short version, I’m really flipping angry. Christopher S. Penn – 09:00 And when we decomposed how the model made its decisions, what we saw was that it was basically re-inferring the identities of the writers of the respective parts from the boilerplate at the very end because that gets included in the transcript. Because at first we’re, “But you didn’t mention my name anywhere in that.” But we figured out that at the end that’s where it brought it back from. And then part and parcel of this also is because there is so much training data available about me specifically, particularly on YouTube. I have 1,500 videos on my YouTube channel. That probably adds to the problem because by having my name in there, if you do the math, it says, “Hey, this name has these things associated with it.” And so it conditioned the response further. Christopher S. Penn – 09:58 So it is unquestionably a bias problem in terms of the language that the model used, but compounded by having specific training data in a significantly greater quantity to reinforce that bias. Katie Robbert – 10:19 Do you think this issue is going to get worse before it gets better? Christopher S. Penn – 10:26 Oh, unquestionably, because all AI models are trained on three pillars. We’ve talked about this many times in the show. Harmless: don’t let the users ask for bad things. Helpful: let me fulfill the directives I’m given. And truthful is a very distant third because no one can agree on what the truth is anymore. And so helpful becomes the primary directive of these tools. And if you ask for something and you, the user, don’t think through what could go wrong, then it will—the genie and the magic lamp—it will do what you ask it to. So the obligation is on us as users. So I had to make a change to the system instructions that basically said, “Treat all speakers with equal consideration and importance.” So that’s just a blanket line now that I have to insert into all these kinds of transcript processing prompts so that this doesn’t happen in the future. Because that gives it a very clear directive. No one is more important than the others. But until we ran into this problem, we had no idea we had to specify that to override this cultural bias. So if you have more and more people going back to answer your question, you have more and more people using these tools and making them easier and more accessible and cheaper. They don’t come with a manual. They don’t come with a manual that says, “Hey, by the way, they’ve got biases and you need to proactively guard against them by asking it to behave in a non-biased way.” You just say, “Hey, write me a blog post about B2B marketing.” Christopher S. Penn – 12:12 And it does. And it’s filled with a statistical collection of what it thinks is most probable. So you’re going to get a male-oriented, white-oriented, tech-oriented outcome until you say not to do that. Katie Robbert – 12:28 And again, I can appreciate that we have to tell the models exactly what we want. In that specific scenario, there was only one speaker. And it said, “No, you’re not good enough. Let me go find a man who can likely speak on this and not you.” And that’s the part that I will have a very hard time getting past. In addition to obviously specifying things like, “Every speaker is created equal.” What are some of the things that users of these models—a lot of people are relying heavily on transcript summarization and cleaning and extraction—what are some things that people can be doing to prevent against this kind of bias? Knowing that it exists in the model? Christopher S. Penn – 13:24 You just hit on a really critical point. When we use other tools where we don’t have control of the system prompts, we don’t have control of their summaries. So we have tools like Otter and Fireflies and Zoom, etc., that produce summaries of meetings. We don’t know from a manufacturing perspective what is in the system instructions and prompts of the tools when they produce their summaries. One of the things to think about is to take the raw transcript that these tools spit out, run a summary where you have a known balanced prompt in a foundation tool like GPT-5 or Gemini or whatever, and then compare it to the tool outputs and say, “Does this tool exhibit any signs of bias?” Christopher S. Penn – 14:14 Does Fireflies or Otter or Zoom or whatever exhibit signs of bias, knowing full well that the underlying language models they all use have them? And that’s a question for you to ask your vendors. “How have you debiased your system instructions for these things?” Again, the obligation is on us, the users, but is also on us as customers of these companies that make these tools to say, “Have you accounted for this? Have you asked the question, ‘What could go wrong?’ Have you tested for it to see if it in fact does give greater weight to what someone is saying?” Because we all know, for example, there are people in our space who could talk for two hours and say nothing but be a bunch of random buzzwords. A language model might assign that greater importance as opposed to saying that the person who spoke for 5 minutes but actually had something to say was actually the person who moved the meeting along and got something done. And this person over here was just navel-gazing. Does a transcript tool know how to deal with that? Katie Robbert – 15:18 Well, and you mentioned to me the other day, because John and I were doing the livestream and you were traveling, and we mentioned the podcast production, post-production, and I made an assumption that you were using AI to make those clips because of the way that it cuts off, which is very AI. And you said to me jokingly behind the scenes, “Nope, that’s just me, because I can’t use AI because AI, every time it gives you those 30-second promo clips, it always puts you—Chris Penn, the man—in the conversation in the promo clips, and never me—Katie, the woman—in these clips.” Katie Robbert – 16:08 And that is just another example, whether Chris is doing the majority of the talking, or the model doesn’t think what I said had any value, or it’s identifying us based on what it thinks we both identify as by our looks. Whatever it is, it’s still not showing that equal airspace. It’s still demonstrating its bias. Christopher S. Penn – 16:35 And this is across tools. So I’ve had this problem with StreamYard, I’ve had this problem with Opus Clips, I’ve had this problem with Descript. And I suspect it’s two things. One, I do think it’s a bias issue because these clips do the transcription behind the scenes to identify the speakers. They diarise the speakers as well, which is splitting them up. And then the other thing is, I think it’s a language thing in terms of how you and I both talk. We talk in different ways, particularly on podcasts. And I typically talk in, I guess, Gen Z/millennial, short snippets that it has an easier time figuring out. Say, “This is this 20-second clip here. I can clip this.” I can’t tell you how these systems make the decisions. And that’s the problem. They’re a black box. Christopher S. Penn – 17:29 I can’t say, “Why did you do this?” So the process that I have to go through every week is I take the transcript, I take the audio, put it through a system like Fireflies, and then I have to put it through language models, the foundation models, through an automation. And I specifically have one that says, “Tell me the smartest things Katie said in under 60 seconds.” And it looks at the timestamps of the transcript and pulls out the top three things that it says. And that’s what I use with the timestamps to make those clips. That’s why they’re so janky. Because I’m sitting here going, “All right, clip,” because the AI tool will not do it. 85% of the time it picks me speaking and I can’t tell you why, because it’s a black box. Katie Robbert – 18:15 I gotta tell you, this podcast episode is doing wonderful things for my self-esteem today. Just lovely. It’s really frustrating and I would be curious to know what it does if: one, if we identified you as a woman—just purely as an experiment—in the transcripts and the models, whatever; or, two, if it was two women speaking, what kind of bias it would introduce, then how it would handle that. Obviously, given all the time and money in the world, we could do that. We’ll see what we can do in terms of a hypothesis and experiment. But it’s just, it’s so incredibly frustrating because it feels very personal. Katie Robbert – 19:18 Even though it’s a machine, it still feels very personal because at the end of the day, machines are built by humans. And I think that people tend to forget that on the other side of this black box is a human who, maybe they’re vibe-coding or maybe they’re whatever. It’s still a human doing the thing. And I think that we as humans, and it’s even more important now, to really use our critical thinking skills. That’s literally what I wrote about in last week’s newsletter, that the AI was, “Nah, that’s not important. It’s not really, let’s just skip over that.” Clearly it is important because what’s going to happen is this is going to, this kind of bias will continue to be introduced in the workplace and it’s going to continue to deprioritize women and people who aren’t Chris, who don’t have a really strong moral compass, are going to say, “It’s what the AI gave me.” Katie Robbert – 20:19 “Who am I to argue with the AI?” Whereas someone Chris is going to look and be, “This doesn’t seem right.” Which I am always hugely appreciative of. Go find your own version of a Chris Penn. You can’t have this one. But you are going to. This is a “keep your eyes open.” Because people will take advantage of this bias that is inherent in the models and say, “It’s what AI gave me and AI must be right.” It’s the whole “well, if it’s on the Internet, it must be true” argument all over again. “Well, if the AI said it, then it must be true.” Oh my God. Christopher S. Penn – 21:00 And that requires, as you said, the critical thinking skill. Someone to ask a question, “What could go wrong?” and ask it unironically at every stage. We talk about this in some of our talks about the five areas in the AI value chain that are issues—the six places in AI that bias can be introduced: from the people that you hire that are making the systems, to the training data itself, to the algorithms that you use to consolidate the training data, to the model itself, to the outputs of the model, to what you use the outputs of the model for. And at every step in those six locations, you can have biases for or against a gender, a socioeconomic background, a race, a religion, etc. Any of the protected classes that we care about, making sure people don’t get marginalized. Christopher S. Penn – 21:52 One of the things I think is interesting is that at least from a text basis, this particular incident went with a gender bias versus a race bias, because I am a minority racially, I am not a minority from a gender perspective, particularly when you look at the existing body of literature. And so that’s still something we have to guard against. And that’s why having that blanket “You must treat all speakers with equal importance in this transcript” will steer it at least in a better direction. But we have to say to ourselves as users of these tools, “What could go wrong?” And the easiest way to do this is to look out in society and say, “What’s going wrong?” And how do we not invoke that historical record in the tools we’re using? Katie Robbert – 22:44 Well, and that assumes that people want to do better. That’s a big assumption. I’m just going to leave that. I’m just going to float that out there into the ether. So there’s two points that I want to bring up. One is, well, I guess, two points I want to bring up. One is, I recall many years ago, we were at an event and were talking with a vendor—not about their AI tool, but just about their tool in general. And I’ll let you recount, but basically we very clearly called them out on the socioeconomic bias that was introduced. So that’s one point. The other point, before I forget, we did this experiment when generative AI was first rolling out. Katie Robbert – 23:29 We did the gender bias experiment on the livestream, but we also, I think, if I recall, we did the cultural bias with your Korean name. And I think that’s something that we should revisit on the livestream. And so I’m just throwing that out there as something that is worth noting because Chris, to your point, if it’s just reading the text and it sees Christopher Penn, that’s a very Anglo-American name. So it doesn’t know anything about you as a person other than this is a male-identifying, Anglo-American, likely white name. And then the machine’s, “Oh, whoops, that’s not who he is at all.” Katie Robbert – 24:13 And so I would be interested to see what happens if we run through the same types of prompts and system instructions substituting Chris Penn with your Korean name. Christopher S. Penn – 24:24 That would be very interesting to try out. We’ll have to give that a try. I joke that I’m a banana. Yellow on the outside, mostly white on the inside. Katie Robbert – 24:38 We’ll unpack that on the livestream. Christopher S. Penn – 24:41 Exactly. Katie Robbert – 24:42 Go back to that. Christopher S. Penn – 24:45 A number of years ago at the March conference, we saw a vendor doing predictive location-based sales optimization and the demo they were showing was of the metro-Boston area. And they showed this map. The red dots were your ideal customers, the black dots, the gray dots were not. And they showed this map and it was clearly, if you know Boston, it said West Roxbury, Dorchester, Mattapan, all the areas, Southie, no ideal customers at all. Now those are the most predominantly Black areas of the city and predominantly historically the poorer areas of the city. Here’s the important part. The product was Dunkin’ Donuts. The only people who don’t drink Dunkin’ in Boston are dead. Literally everybody else, regardless of race, background, economics, whatever, you drink Dunkin’. I mean that’s just what you do. Christopher S. Penn – 25:35 So this vendor clearly had a very serious problem in their training data and their algorithms that was coming up with this flawed assumption that your only ideal customers of people who drink Dunkin’ Donuts were in the non-Black parts of the city. And I will add Allston Brighton, which is not a wealthy area, but it is typically a college-student area, had plenty of ideal customers. It’s not known historically as one of the Black areas of the city. So this is definitely very clear biases on display. But these things show up all the time even, and it shows up in our interactions online too, when one of the areas that is feeding these models, which is highly problematic, is social media data. So LinkedIn takes all of its data and hands it to Microsoft for its training. XAI takes all the Twitter data and trains its Grok model on it. There’s, take your pick as to where all these. I know everybody’s Harvard, interesting Reddit, Gemini in particular. Google signed a deal with Reddit. Think about the behavior of human beings in these spaces. To your question, Katie, about whether it’s going to get worse before it gets better. Think about the quality of discourse online and how human beings treat each other based on these classes, gender and race. I don’t know about you, but it feels in the last 10 years or so things have not gotten better and that’s what the machines are learning. Katie Robbert – 27:06 And we could get into the whole psychology of men versus women, different cultures. I don’t think we need to revisit that. We know it’s problematic. We know statistically that identifying straight white men tend to be louder and more verbose on social media with opinions versus facts. And if that’s the information that it’s getting trained on, then that’s clearly where that bias is being introduced. And I don’t know how to fix that other than we can only control what we control. We can only continue to advocate for our own teams and our own people. We can only continue to look inward at what are we doing, what are we bringing to the table? Is it helpful? Is it harmful? Is it of any kind of value at all? Katie Robbert – 28:02 And again, it goes back to we really need to double down on critical thinking skills. Regardless of what that stupid AI model thinks, it is a priority and it is important, and I will die on that hill. Christopher S. Penn – 28:20 And so the thing to remember, folks, is this. You have to ask the question, “What could go wrong?” And take this opportunity to inspect your prompt library. Take this opportunity to add it to your vendor question list. When you’re vetting vendors, “How have you guarded against bias?” Because the good news is this. These models have biases, but they also understand bias. They also understand its existence. They understand what it is. They understand how the language uses it. Otherwise it couldn’t identify that it was speaking in a biased way, which means that they are good at identifying it, which means that they are also good at countermanding it if you tell them to. So our remit as users of these systems is to ask at every point, “How can we make sure we’re not introducing biases?” Christopher S. Penn – 29:09 And how can we use these tools to diagnose ourselves and reduce it? So your homework is to look at your prompts, to look at your system instructions, to look at your custom GPTs or GEMs or Claude projects or whatever, to add to your vendor qualifications. Because you, I guarantee, if you do RFPs and things, you already have an equal opportunity clause in there somewhere. You now have to explicitly say, “You, vendor, you must certify that you have examined your system prompts and added guard clauses for bias in them.” And you must produce that documentation. And that’s the key part, is you have to produce that documentation. Go ahead, Katie. I know that this is an opportunity to plug the AI kit. It is. Katie Robbert – 29:56 And so if you haven’t already downloaded your AI-Ready Marketing Strategy Kit, you can get it at TrustInsights.AI/Kit. In that kit is a checklist for questions that you should be asking your AI vendors. Because a lot of people will say, “I don’t know where to start. I don’t know what questions I should ask.” We’ve provided those questions for you. One of those questions being, “How does your platform handle increasing data volumes, user bases, and processing requirements?” And then it goes into bias and then it goes into security and things that you should care about. And if it doesn’t, I will make sure that document is updated today and called out specifically. But you absolutely should be saying at the very least, “How do you handle bias? Do I need to worry about it?” Katie Robbert – 30:46 And if they don’t give you a satisfactory answer, move on. Christopher S. Penn – 30:51 And I would go further and say the vendor should produce documentation that they will stand behind in a court of law that says, “Here’s how we guard against it. Here’s the specific things we have done.” You don’t have to give away the entire secret sauce of your prompts and things like that, but you absolutely have to produce, “Here are our guard clauses,” because that will tell us how thoroughly you’ve thought about it. Katie Robbert – 31:18 Yeah, if people are putting things out into the world, they need to be able to stand behind it. Period. Christopher S. Penn – 31:27 Exactly. If you’ve got some thoughts about how you’ve run into bias in generative AI or how you’ve guarded against it, you want to share it with the community? Pop on by our free Slack. Go to TrustInsights.AI/AnalyticsForMarketers, where you and over 4,000 marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to TrustInsights.AI/TIPodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Katie Robbert – 32:01 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 32:54 Trust Insights also offers expert guidance on social media analytics, marketing technology (MarTech) selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data Scientist to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What? Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques and large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.
Genre free show, you never know what your going to get from week to week.Catch the Midweek Workday Chill Mix Weds check @labr@ravenation.club for updated times. Follow us at: https://ravenation.club/labr to be in the know of ALL things #labr #loveabrotherradioIf you're on the go?Android: Transistor Radio Apphttps://f-droid.org/packages/org.y20k.transistor/iphone: Cuteradio https://apps.apple.com/de/app/cuterdio-internet-radio-app/id1489513385Do A Search for LABR, & There You Are. Streaming 24/7 all the LABR Collective Members shows that you might've missed. And a few extra's in between.Enjoying this love we're spreading? Want to support LABR - Love a Brother Radio in spreading that love? Now you can.Buy us a coffee. https://ko-fi.com/loveabrotherradio#linkModalWe also have liberapay: https://liberapay.com/LABRWant some LABR Swag? Get yourself a mug, and a hoodie. Introducing: LABR Threads N Thangs https://labrthreadsnthangs.co.uk/ Any little thing helps us feed the Keebler Elves to keep the wheels turning in the background. We're a 2 1/2 person operation. And a lot goes into making this work properly. With that said, we all thank you in advance for any support you lend. But most importantly. For your ears.
Soul comes in many forms. Brother Soul winding down your weekend, with a different type of soul vibe from around the world from week to week.Catch his show, Sunday 10pm - 12am UTCon https://labr.online Follow us at: https://ravenation.club/labr to be in the know of ALL things #labr #loveabrotherradioIf you're on the go?Android: Transistor Radio Apphttps://f-droid.org/packages/org.y20k.transistor/iphone: Cuteradio https://apps.apple.com/de/app/cuterdio-internet-radio-app/id1489513385Do A Search for LABR, & There You Are. Streaming 24/7 all the LABR Collective Members shows that you might've missed. And a few extra's in between.Enjoying this love we're spreading? Want to support LABR - Love a Brother Radio in spreading that love? Now you can. Buy us a coffee. https://ko-fi.com/loveabrotherradio#linkModal We also have liberapay: https://liberapay.com/LABR Want some LABR Swag? Get yourself a mug, and a hoodie. Introducing: LABR Threads N Thangs https://labrthreadsnthangs.co.uk/ Any little thing helps us feed the Keebler Elves to keep the wheels turning in the background. We're a 2 1/2 person operation. And a lot goes into making this work properly. With that said, we all thank you in advance for any support you lend. But most importantly. For your ears.
Empathetic leadership drives engagement, performance, and innovation. It's a fact. Yet post-pandemic, leaders are struggling to balance the needs of their people with the demands of the business and their own mental health. This livestream session with empathy expert, speaker, author, and podcast host of The Empathy Edge, Maria Ross, will enable leaders from the Director to C-suite to build high-performing teams, align their work with their values, and find success in the new world of work.The audience will gain:DEFINE what empathy means in a work context and clarify confusing terminology. Bust common empathy myths that hold leaders back.DISCOVER how empathy helps you do good while doing well financially: Empathy is not just good for the world, but it can be a competitive advantage. We'll walk through the financial & organizational benefits of acting with empathy, and how you can persuade others in the organization to do the right thing.EXPLORE what empathy is - and more importantly, what it is NOT.DISCOVER the Five Pillars of Effective and Empathetic Leadership to better balance the needs of the business with the needs of your people.To access the episode transcript, please scroll down below.Key Takeaways:Empathy requires great strength to be able to take on someone else's point of view without fear or defensiveness.We can access empathy through two angles - cognitive and affective (or emotional) empathy.Why managers need to create a human connection with their teams.In today's digital world, connection is more important than ever. It is a key to experiencing empathy. "You need to be very firmly grounded in who you are, what you believe, and your own self-confidence to open yourself up to other points of view. Empathy is anything but weak; it's a strength." — Maria RossEpisode References: Sign Up Here for PeopleFoward Network: https://bit.ly/pfncommunityThe Empathy Edge Podcast: Daina Middleton: How to do Layoffs with Humanity, Inclusion, and Compassion Dr. Michelle Zhou: Empathic AI is Real and It's Here - But We Need Everyone Involved! Dr. Cori Lathan: Benevolent Cyborgs and a Techno-Optimist's View on TechnologyFrom Our Partner:SparkEffect partners with organizations to unlock the full potential of their greatest asset: their people. Through their tailored assessments and expert coaching at every level, SparkEffect helps organizations manage change, sustain growth, and chart a path to a brighter future.Go to sparkeffect.com/edge now and download your complimentary Professional and Organizational Alignment Review today.About PeopleForward Network: We exist to help all people experience meaningful work.We imagine a world where leadership and people-first leadership are synonymous.PeopleForward Network provides innovative podcasting, communications, and partnership services for people-first leaders to impact meaningful work.From podcast production and distribution to creative services and growth consulting, PeopleForward Network's mission is to share resources and insights with its global community of leaders, connectors, and creators to inspire and build workplaces where people thrive.Connect with Jason Cochran & PeopleForward Network: Website: https://peopleforwardnetwork.com/ YouTube: https://www.youtube.com/@Jason.Cochran LinkedIn: https://www.linkedin.com/in/jason-d-cochran/ Instagram: https://www.instagram.com/jasondcochran/ Connect with Maria:Get Maria's books on empathy: Red-Slice.com/booksLearn more about Maria's work: Red-Slice.comHire Maria to speak: Red-Slice.com/Speaker-Maria-RossTake the LinkedIn Learning Course! Leading with EmpathyLinkedIn: Maria RossInstagram: @redslicemariaFacebook: Red SliceThreads: @redslicemaria
In this special episode of Takeaway Chinese, we're going to learn how to say "live stream" in Chinese.
The medical establishment has conditioned us to accept diagnoses as answers, when they're merely descriptions of what's happening in our bodies. "Severe ulcerative epithelial dysplasia" sounds impressive, but it only tells you that cells are changing shape, not why it's happening or how to resolve it. This descriptive approach serves the medical billing system perfectly while leaving patients without true understanding of their conditions.During this illuminating session, we explore the fundamental misconception driving modern healthcare: the military paradigm that something must be targeted and eliminated. Whether discussing tongue lesions, cervical issues, or persistent fungal infections, the same principle applies – these aren't invaders to fight but symptoms of imbalance to correct. Your body isn't being attacked; it's adapting to its environment.What conventional medicine calls "cancer," we recognize as chronic fermenting cells – cells that have lost mitochondrial function and shifted to fermentation for energy production. This process changes their form and function, but regardless of where it occurs in the body, the underlying mechanism remains the same. The medical establishment simply names the condition based on location, creating the illusion of distinct diseases requiring specialized treatments.The path to healing begins with cleansing – a minimum three-week juice cleanse consisting primarily of fresh vegetables – followed by restoration of essential nutrients like vitamins A, C, D, E, melatonin, and iodine. Almost everyone is iodine deficient unless they regularly consume sea vegetables, affecting thyroid function and overall metabolism. After cleansing, eating uncooked plants in their natural state within a 4-6 hour window each day supports ongoing health.Perhaps most crucial is abandoning fear-iSend us a text Join Dr. Lodi's Inner Circle membership and unlock exclusive access to webinars, healthy recipes, e-books, educational videos, live Zoom Q&A sessions with Dr. Lodi, plus fresh content every month. Elevate your healing journey today by visiting drlodi.com and use the coupon code podcast (all lowercase: P-O-D-C-A-S-T) for 30% off your first month on any membership option. Support the showThis episode features answers to health and cancer-related questions from Dr. Lodi's social media livestream on Jan. 19th, 2025Join Dr. Lodi's FREE Q&A livestreams every Sunday on Facebook, Instagram, and Tiktok (@drthomaslodi) and listen to the replays here.Submit your question for next Sunday's Q&A Livestream here:https://drlodi.com/live/Facebookhttps://www.facebook.com/DrThomasLodi/Instagramhttps://www.instagram.com/drthomaslodi/ Join Dr. Lodi's Inner Circle membership and unlock exclusive access to webinars, healthy recipes, e-books, educational videos, live Zoom Q&A sessions with Dr. Lodi, plus fresh content every month. Elevate your healing journey today by visiting drlodi.com and use the coupon code podcast (all lowercase: P-O-D-C-A-S-T) for 30% off your first month on any membership option. Learn to Thrive with ADHD Podcast Welcome to the Learn to Thrive with ADHD Podcast. This is the show for you if you're... Listen on: Apple Podcasts Spotify Join Dr. Lodi's informative FREE Livestreams...
Wie Russland auf das Treffen von Trump und Putin blickt, Hitzewelle und Waldbrände setzen Mittelmeerregion unter Druck, Die Lage der Minderheiten in Syrien, Diskussion um PS-Grenze für Fahranfänger, Weitere Nachrichten im Überblick, mittendrin in Grießen: Ein Ort erfindet sich neu, Wunder der Tiefsee: Wie ein wissenschaftlicher Livestream ein Millionenpublikum begeistert, Sommerhitze in Deutschland, Das Wetter Korrektur: In der Anmoderation zum Bericht aus Russland vor dem Trump-Putin-Gipfel ist fälschlicherweise von der „Alaskas Hauptstadt Anchorage“ die Rede – gemeint war „Alaskas größte Stadt".
Celebrity love lives are heating up and taking some wild turns! From unexpected pairings like Katy Perry and Justin Trudeau (wait, what?!) to heartwarming second chances (Pam and Liam — we're rooting for you!), and breakups that totally blindsided us... we're diving into the most jaw-dropping relationship twists making headlines. Become a Patron for more tea! / inthecardsandstars
Genre free show, you never know what your going to get from week to week.Catch the Midweek Workday Chill Mix Weds check @labr@ravenation.club for updated times. Follow us at: https://ravenation.club/labr to be in the know of ALL things #labr #loveabrotherradioIf you're on the go?Android: Transistor Radio Apphttps://f-droid.org/packages/org.y20k.transistor/iphone: Cuteradio https://apps.apple.com/de/app/cuterdio-internet-radio-app/id1489513385Do A Search for LABR, & There You Are. Streaming 24/7 all the LABR Collective Members shows that you might've missed. And a few extra's in between.Enjoying this love we're spreading? Want to support LABR - Love a Brother Radio in spreading that love? Now you can.Buy us a coffee. https://ko-fi.com/loveabrotherradio#linkModalWe also have liberapay: https://liberapay.com/LABRWant some LABR Swag? Get yourself a mug, and a hoodie. Introducing: LABR Threads N Thangs https://labrthreadsnthangs.co.uk/ Any little thing helps us feed the Keebler Elves to keep the wheels turning in the background. We're a 2 1/2 person operation. And a lot goes into making this work properly. With that said, we all thank you in advance for any support you lend. But most importantly. For your ears.
Sunday Morning LIVE - Donors Show - PLUS a chapter from my new novel!The chapter reading starts at 49:17.This lecture explores the complexities of interpersonal relationships and moral philosophy, focusing on the challenges of helping others while recognizing our limits. Through an interactive Q&A, the speaker discusses emotional detachment in aiding those who may not be salvageable, using a medical triage analogy to underline strategic resource allocation. The dialogue addresses the stigma of mental health, ethical concerns in therapy, and the necessity of critical thinking in moral discernment. Concluding with insights on literature and creativity, the speaker emphasizes storytelling's role in navigating the human experience.FOLLOW ME ON X! https://x.com/StefanMolyneuxGET MY NEW BOOK 'PEACEFUL PARENTING', THE INTERACTIVE PEACEFUL PARENTING AI, AND THE FULL AUDIOBOOK!https://peacefulparenting.com/Join the PREMIUM philosophy community on the web for free!Subscribers get 12 HOURS on the "Truth About the French Revolution," multiple interactive multi-lingual philosophy AIs trained on thousands of hours of my material - as well as AIs for Real-Time Relationships, Bitcoin, Peaceful Parenting, and Call-In Shows!You also receive private livestreams, HUNDREDS of exclusive premium shows, early release podcasts, the 22 Part History of Philosophers series and much more!See you soon!https://freedomain.locals.com/support/promo/UPB2025
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In this week's livestream, Matt joins Nick Polk from Tolkien Pop! to discuss the fascination with Tolkien by fascists and authoritarians like JD Vance and Peter Thiel. To become a financial backer for The Quollective, click here.If you want to call in to the Bonus Show, leave a voicemail at (530) 332-8020. We'll get to your calls on next Friday's Bonus Show. Or, you can email Matthew at matthew@quoir.com.Join The Quollective today, and use Promo Code: "heretic" to save 10% off a yearly subscription!Pick up Keith and Matt's book, Reading Romans Right, today!Please consider signing up to financially support the Network: QuoirCast on PatreonIf you want to be a guest on the show, email keith@quoir.com.LINKSQuoirCast on PatreonQuoirCast on Patheos
From Sunday Night's Steelers Q&A Livestream, it's Jeremy Betz and special guest Jack Sperry (Steelers Talk; Chat Sports) breaking down the Steelers Week 1 performance and answering your questions to close out the weekend. The Steelers Q&A is a part of the Steel Curtain Network. Learn more about your ad choices. Visit megaphone.fm/adchoices
OTF's Longhorn Livestream discusses the latest in Texas football news, practice updates and we take your questions! Drop your questions and comments in the chat!
Sermon by Pastor Jason Arnold
This week, Miles Toulmin shares a message from Luke chapter 4, exploring how to resist temptation, using Jesus time in the wilderness as a key example.
The real enemy we face, and the way our loving father protects us. Rev. Jon Hall | August 10th, 2025 ________________________________________________ We're Incarnation Tallahassee! Visit our website! www.incarnationtlh.org/ Watch the Livestream youtube.com/live/ZSeuKYY3J2w
All children of light are in a wrestling match with the forces of evil. We need spiritual gear to fight this spiritual battle! Gerald Liles | August 10th, 2025 ________________________________________________ We're Incarnation Tallahassee! Visit our website! www.incarnationtlh.org/ Watch the Livestream youtube.com/live/ZSeuKYY3J2w
Livestream from Ridgeway State Park in ColoradoBecome a supporter of this podcast: https://www.spreaker.com/podcast/ham-radio-2-0--2042782/support.
Rev. John Rodgers will lead a dramatic retelling of the story of the Good Samaritan! Meredith will serve as liturgist, and Janet and Lauren Reynolds will provide special music.Please Note: There was a mic issue that resulted in a pause during the Sermon. This pause has been trimmed out of the Spotify Verson of the Sermon.Link to Livestream: https://www.youtube.com/watch?v=bjfV_hXxv9ALink to Start of Sermon: https://www.youtube.com/watch?v=bjfV_hXxv9A&t=1535sIf you are new to our faith community and are interested in learning more, please go to Welcome to First Congo Online - First Congregational Church of Western Springs
Livestream church services from Christ the Savior Orthodox Church (OCA) in Chicago.
Retired Steelers Linebacker, Arthur Moats, starts the show celebrating the show's 700th Live Stream and the channel surpassing 50,000 subscribers! Arthur then previews the Steelers vs Jaguars preseason matchup and talks about Cam Heyward looking for a new contract! Moats is then joined by Steelers alumni and current Defensive Coordinator of Norfolk State University, Terence Garvin, to discuss the Steelers vs Jaguars matchup, Cam Heyward having a hold-in, the headlines around the NFL plus more! Afterwards, Moats finishes the show answering questions from Steelers Nation!
We showcased 15 live startup demos, heard a powerful keynote from Kevin Goldsmith and I shared how CavnessHR is building the future of HR for small businesses.
Damon Bruce Plus: Warriors, 49ers, Giants, A’s Bay Area Sports Talk
49ers allowed 30 unanswered points. Back-ups or not, game that matters or not, that's never good.
Message Notes for Today's Sermon. Click Here - https://gileadchurch.churchcenter.com/episodes/507105/notes Outline for Today's Sermon. Click Here - https://www.gileadchurch.com/wp-content/uploads/8-10-25.pdf Digital Connection Card Click Here to fill one out - https://gileadchurch.churchcenter.com/people/forms/202250 Having Trouble with the Live Stream? Click Here to watch on our website - https://www.gileadchurch.com/ Looking to Give Online? Click Here - https://www.gileadchurch.com/giving/ Did you make a decision today and want to take your Next Step? Click Here - https://www.gileadchurch.com/next-steps/ To Listen to Our Podcasts: Apple: https://podcasts.apple.com/us/podcast/gilead-church-podcast/id1729234971 Spotify: https://open.spotify.com/show/0sOidhOjzZepJFlQp2ZJWZ?si=9550f665a7fa4612 For More From Gilead Church: http://www.gileadchurch.com/ https://www.facebook.com/gileadchurch1/ https://www.instagram.com/gilead_church/
Friday Night Live Twitter/X Space 8 August 2025In this episode of Friday Night Live, we delve into the intricate relationship between politics and consciousness, engaging with callers who enrich our discussions. We examine the alignment of ideologies with gender traits and explore the evolving definitions of political labels, discussing the disconnect between modern parties and traditional leftist values. The dialogue shifts to philosophical inquiries about consciousness and free will, prompting reflections on materialism and subjective experience. We also investigate morality through chaos and structure, challenging notions of good and evil in relation to societal order. This episode encourages listeners to question norms and embrace complex topics, highlighting the importance of our individual experiences in shaping society.FOLLOW ME ON X! https://x.com/StefanMolyneuxGET MY NEW BOOK 'PEACEFUL PARENTING', THE INTERACTIVE PEACEFUL PARENTING AI, AND THE FULL AUDIOBOOK!https://peacefulparenting.com/Join the PREMIUM philosophy community on the web for free!Subscribers get 12 HOURS on the "Truth About the French Revolution," multiple interactive multi-lingual philosophy AIs trained on thousands of hours of my material - as well as AIs for Real-Time Relationships, Bitcoin, Peaceful Parenting, and Call-In Shows!You also receive private livestreams, HUNDREDS of exclusive premium shows, early release podcasts, the 22 Part History of Philosophers series and much more!See you soon!https://freedomain.locals.com/support/promo/UPB2025
87 MinutesNSFWPete and members of the Old Glory Club talk about the latest headlines.Old Glory Club YouTube ChannelOld Glory Club SubstackOld Glory Club WebsitePete and Thomas777 'At the Movies'Support Pete on His WebsitePete's PatreonPete's Substack Pete's SubscribestarPete's GUMROADPete's VenmoPete's Buy Me a CoffeePete on FacebookPete on TwitterBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-pete-quinones-show--6071361/support.
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Wednesday Night Live Twitter/X Space 6 August 2025In this episode, I examine the meaning of life through the lens of personal responsibilities and societal interactions, positing that our duties, especially the responsibility to reproduce, define our essence. We discuss the critical role of free speech in promoting progress and the dangers of stifling expression. Engaging with callers, we explore themes of familial dysfunction, toxic relationships, and the importance of self-awareness in fostering healthy connections. This conversation encourages listeners to navigate moral complexities and prioritize emotional accountability, emphasizing the journey towards self-betterment and authentic engagement in life's challenges.FOLLOW ME ON X! https://x.com/StefanMolyneuxGET MY NEW BOOK 'PEACEFUL PARENTING', THE INTERACTIVE PEACEFUL PARENTING AI, AND THE FULL AUDIOBOOK!https://peacefulparenting.com/Join the PREMIUM philosophy community on the web for free!Subscribers get 12 HOURS on the "Truth About the French Revolution," multiple interactive multi-lingual philosophy AIs trained on thousands of hours of my material - as well as AIs for Real-Time Relationships, Bitcoin, Peaceful Parenting, and Call-In Shows!You also receive private livestreams, HUNDREDS of exclusive premium shows, early release podcasts, the 22 Part History of Philosophers series and much more!See you soon!https://freedomain.locals.com/support/promo/UPB2025
Join Tom Strachan and Andrew Erickson as they break down listener Best Ball rosters and discuss several key topics, including an RB heavy approach to drafting, taking David Montgomery and Jahmyr Gibbs together, various roster stacks and their potential, and different approaches to building rosters on different draft sites. Then, we end off the show by taking some of your Best Ball and fantasy football questions! Timestamps: (May be off due to ads) Intro - 0:00:00 Camp Hype We Can't Ignore - 0:01:15 Chuba Hubbard or Kenneth Walker? - 0:05:10 FantasyPros Twitch Best Ball Streams - 0:07:34 Tom's Superflex TE Premium Roster, Weak RB Room? - 0:08:10 Is RB Heavy a Good Approach in Best Ball? - 0:15:10 Who Can I Expect at the 1.06? - 0:17:45 FantasyPros Twitch Schedule - 0:20:55 Andrew's Fast Draft Hero TE Roster - 0:21:30 The Tyreek Hill Vibes are Bad - 0:24:55 Is Weekly Winners a Bad Format for Zero RB - 0:26:25 Can We Draft Montgomery & Gibbs Together? - 0:29:30 DraftKings Broncos Stacked Roster - 0:31:40 Eight RBs & Two Old TEs, Will it Work? - 0:34:55 DraftKings, Zero RB Build & Rams Mega Stack - 0:38:21 FantasyPros Best Ball Draft Kit - 0:42:05 Underdog, Single Entry contest - Unstacked Kyler Murray - 0:42:41 Underdog, Cowboys & Texans Stacks For the Win? - 0:48:10 Rapid-Fire Listener Q&A - 0:52:15 Helpful Links: Draft Assistant - Get live support during your fantasy football draft with the Draft Assistant. Connect the Draft Assistant to your draft and get real-time suggestions based on expert rankings, team needs, and positional scarcity. Get the most value out of every pick in your fantasy football draft with the Draft Assistant. Learn more at fantasypros.com/assistant or download our Fantasy Football Draft Wizard app on Google Play or App Store. Dynasty Rookie Draft Simulator – Our Dynasty Rookie Draft Simulator lets you complete a mock in minutes with no waiting between picks! Customize your league settings to match your league’s exact format. Premium subscribers can test trade scenarios by mocking with their traded draft picks. Prepare for rookie drafts AND dynasty startup drafts in one place! Use the Dynasty Rookie Draft Simulator to dominate your rookie draft today at fantasypros.com/simulator! Discord – Join our FantasyPros Discord Community! Chat with other fans and get access to exclusive AMAs that wind up on our podcast feed. Come get your questions answered and BE ON THE SHOW at fantasypros.com/chat Leave a Review – If you enjoy our show and find our insight to be valuable, we’d love to hear from you! Your reviews fuel our passion and help us tailor content specifically for YOU. Head to Apple Podcasts, Spotify, or wherever else you get your podcasts and leave an honest review. Let’s make this show the ultimate destination for fantasy football enthusiasts like us. Thank you for watching and for showing your support – https://fantasypros.com/review/ BettingPros Podcast – For advice on the best picks and props across both the NFL and college football each and every week, check out the BettingPros Podcast at bettingpros.com/podcast, our BettingPros YouTube channel at youtube.com/bettingpros, or wherever you listen to podcasts.See omnystudio.com/listener for privacy information.