Podcasts about biases

Is video AI a viable path toward AGI? Runway ML founder Cristóbal Valenzuela joins Lukas Biewald just after Gen 4.5 reached the #1 position on the Video Arena Leaderboard, according to community voting on Artificial Analysis. Lukas examines how a focused research team at Runway outpaced much larger organizations like Google and Meta in one of the most compute-intensive areas of machine learning.Cristóbal breaks down the architecture behind Gen 4.5 and explains the role of “taste” in model development. He details the engineering improvements in motion and camera control that solve long-standing issues like the restrictive “tripod look,” and shares why video models are starting to function as simulation engines with applications beyond media generation.Connect with us here:Cristóbal Valenzuela: https://www.linkedin.com/in/cvalenzuelabRunway: https://www.linkedin.com/company/runwayml/Lukas Biewald: https://www.linkedin.com/in/lbiewald/Weights & Biases: https://www.linkedin.com/company/wandb/

Negotiating is a part of living; we do it all the time.   When you walk down a crowded street, you negotiate the path you take.   A couple negotiates their relationship before and during marriage.  Although you may not realise what's happening, for example, you take out the garbage tonight and I will do the dishes.   And of course of the negotiation is one of the skills developed by all savvy property investors and business people.   Over the years I've noticed that some people are very good at getting terrific deals. Most others simply get what the other party is willing to give.   What's the difference?  In my mind, it's that the first group knows how to negotiate.   It's actually more than that, they know how to influence and persuade others to do what they would like them to do.   So today I'd like to discuss the topic of negotiation, influence and persuasion with Brett Warren, National Director of Property at Metropole.   In this conversation, we discuss the essential skills of negotiation, influence, and persuasion, emphasizing that life itself is a series of negotiations.   We explore the psychological aspects of negotiation, the importance of emotional detachment, and the power dynamics at play.   We also debunk common myths about negotiation, highlights common mistakes, and shares practical tips for becoming a better negotiator.     Takeaways  ·         Life is a negotiation, whether in property or personal matters. ·         Emotional control is key in negotiations. ·         Building rapport creates trust and facilitates negotiation. ·         The first offer can set the tone for negotiations. ·         Many people make the mistake of being too emotional during negotiations. ·         Preparation is crucial for successful negotiation. ·         Listening is more important than talking in negotiations. ·         Understanding psychological biases can improve negotiation outcomes. ·         Success in negotiation often comes down to mindset and resilience.   Chapters    02:16 – Why Life Is One Big Negotiation  05:12 – The Power of Time, Information and Options  08:14 – Emotional Control and Reading People  10:37 – Rapport, Trust and Ethical Influence  13:07 – Myths, Mistakes and Smarter Strategies  16:17 – Anchoring, Biases and Winning the Right Deal   Links and Resources:   Answer this week's trivia question here - http://www.propertytrivia.com.au/ ·         Win a hard copy of Michael Yardney's Guide to Investing Successfully. Everyone wins a copy of a fully updated property report.   Get a bundle of eBooks and Reports at: www.PodcastBonus.com.au   Get the team at Metropole to help build your personal Strategic Property Plan. Click here and have a chat with us   Brett Warren - National Director of Property at Metropole   Michael Yardney – Subscribe to my Property Update newsletter here.   Also, please subscribe to my other podcast Demographics Decoded with Simon Kuestenmacher – just look for Demographics Decoded wherever you are listening to this podcast and subscribe so each week we can unveil the trends shaping your future. Or click here: https://demographicsdecoded.com.au/

Special Episode: Joco & Haylee's Top 5 ULT K-Pop Groups & Biases of 2025 (Boy & Girl Groups!)@PermissionToStanPodcast on Instagram (DM us & Join Our Broadcast Channel!) & TikTok!NEW Podcast Episodes every THURSDAY! Please support us by Favoriting, Following, Subscribing, & Sharing for more KPOP talk!Holiday Giveaway: Girl Group Package & Boy Group Package!Support this podcast at — https://redcircle.com/permission-to-stan-podcast-kpop-multistans/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Harvard instructor Margaret Andrews joins us to explore why effective leadership starts with self-awareness. We discuss blind spots, emotional intelligence, team norms, and the internal work leaders must do to better understand their impact. Margaret offers practical tools for developing people and navigating organizational context, showing how self-understanding reshapes culture, communication, and long-term leadership success. Topics [0:00] Introduction and Speed Round with Margaret Andrews [7:10] What Managers Get Wrong [16:59] Challenges of Leading Others [21:42] Emotional Intelligence and Leadership [27:20] The “Best Boss” Exercise [35:54] Leading for the Long Term [39:56] Advice for New Managers [44:19] Desert Island Music [49:38] Grooving Session: Self-Awareness, Biases, and Leadership Takeaways ©2025 Behavioral Grooves Links About Margaret Manage Yourself to Lead Others by Margaret C. Andrews Join us on Substack! Join the Behavioral Grooves community Subscribe to Behavioral Grooves on YouTube Support Behavioral Grooves Music Links Rod Stewart - Have You Ever Seen the Rain? Nina Simone - Feeling Good

The following is AI-generated approximation of the transcript from the Equipping Hour session. If you have questions you would like to be addressed in followup sessions, please direct those to Jacob. Opening & Introduction Smedly Yates: All right, this morning’s equipping hour will be about artificial intelligence—hopefully an attempt to introduce this topic, help us think through it carefully, well, biblically. Let me just open our time in prayer. [Prayer] Heavenly Father, thank you so much for your kindness to us. Thank you for giving us all that we need for life and godliness, for not leaving your people adrift. Thank you for putting us into this world exactly in the era that you have. We pray to be effective, fruitful, in all those things which matter for eternity in this world, in this time, in this age. God, we pray for wisdom, that you would guide our discussion here. We pray that this would be of benefit and a help to Grace Bible Church. We ask it in Jesus’ name. Amen. Here’s the layout for this morning and for a future equipping hour. We’ll be talking for about 35 minutes, back and forth—Jake and I—and then at 9:35, the plan is to go to Q&A. So, this is an opportunity for you to ask questions. At that point, I’ll surrender my microphone and you guys can rove and find people. For the next 33 minutes or so, you can be thinking about the questions you’d like to ask. Jake’s going to do most of the talking in our time here. I’m going to set him up with some questions, but just by way of intro, I want to get some things out of the way as we’re talking about artificial intelligence. You might be terrified, you might be hopeful. I want to get the scary stuff out of the way first and tell you what we’re not going to talk about this morning. Is that fair? Artificial intelligence is here. Some of you are required to use it in the workplace. Some of you are prohibited from using it in your workspaces. There’s nothing you and I can do to keep it from being here. Some of the dangers, some of the things you might be wondering about, some of the things that make the news headlines—over the last two weeks, scanning the headlines, there was a new AI headline every day. One of the terrible things that we won’t talk about today is the fact that nobody knows what’s true anymore, right? How can we discern? But the reality is the god of this world has been Satan for the entirety of human history and he’s a deceiver from the beginning. There’s nothing new about lies. They might be easier and more convincing with certain technological advances. The lies might be more ubiquitous, but the same humanity and the same satanology are at play. We may be concerned about societal fracture and distrust. Some people, if they distrust new tech, will withdraw from society. Others will fully embrace it. And so you get a fracture in society—those with, and those without tech. Some people will just say, “If the digital world works, we’re going to use it.” That’s not the Christian perspective. We’re not simply pragmatists. We do care about what’s true and what’s right. Some are worried about AI chatbot companions that will mark the extinction of relationships, marriage, society. I probably fall into the category of those who assume that AI will mean the end of music or the death of music and other art forms. That’s just me, a confession. People run to end-of-the-world scenarios—the robots decide they don’t need us anymore or the collective conscience of AI decides that humanity is a pollutant on Mother Earth, and the only way to keep the earth going is to rid itself of humanity. The survival of the planet is dependent on our own extinction. So AI will bring about a mass human genocide and the end of homo sapiens on earth. We know that’s not true, right? We know how the world ends, and it doesn’t end by an AI apocalypse. So don’t worry about that. Some people worry that AI will be a significant civilization destabilizer. That might be true. But we know that God is sovereign, and we know where society and civilization end up: at the feet of Jesus worshipping him when he rules on the earth for a thousand years leading into the eternal state. So don’t worry about that either. Some believe that AI is the antichrist. Now we know that’s not true. What is the number of the beast? 666. And this year it got rounded up to 67. So we know AI is not the antichrist. 67 is the antichrist. And if you want to know why the numbers six and seven got together in the year 2025 and formed the new word of the year, ask your middle schooler. Is that all the scary stuff? Not even close. I have a family member who has worked in military intelligence working on artificial intelligence stuff for a long time. He said it’s way scarier than you could possibly imagine. Do you want to say any more other scary scenarios we shouldn’t be thinking about? Jacob Hantla: No, we’ll probably cover some of those. Smedly Yates: Okay, great. What we want to focus on today is artificial intelligence as a tool. Just as an axe can be a tool for good or evil, AI is a tool that either has opportunities for betterment or opportunities for danger. So we want to think about that well. What you have on stage here are two of the shepherds at Grace Bible Church. You’ve got Jake Hantla, who is the guy I want exploring artificial intelligence and telling us how to use it well—he has and he does. And then you have me; I intend not to use artificial intelligence for now. We’re on opposite ends of a spectrum, but we share the same theology, same principles, same concerns, and I think the same inquisitive curiosity about technological advances. I drive a car; I’m not Amish in a horse and buggy. I like tech. But on this one, I’m just going to wait and see. I’m going to let Jake explore. From these two different poles, I hope we can be helpful this morning to help us all together think through artificial intelligence. What is AI? Smedly Yates: Let’s start with this, Jake. What is AI basically? Jacob Hantla: At the heart of it, most forms of AI are a tool to predict the next token. That might not mean much to you, but it’s basically a really fancy statistical prediction machine that accomplishes a lot of really powerful outcomes. It doesn’t have a mind, emotions, or consciousness, but it can really effectively mimic those things because it’s been trained on basically all that humanity has produced that’s available to it on the web and in other sources. I’ll try not to be super technical, but I want to pop up a picture. Can you go to slide one? When we think of AI, large language models are probably the one that most of you will think of: ChatGPT, Gemini, Grock, Claude, things like that. Effectively, what it does when we’re thinking of language—it can do other things, like images and driving cars and other things, but let’s think of words—it takes basically all that humanity has written and learns to predict the next token, or we could just think of the next word. So, all of you know, if I said, “Paris is a city in…” most of you would say France. Paris is a city in France. How do you know that? Everyone here has learned that fact. Large language models have gone through a process of training where they learn facts, concepts, and grammar, so that they can effectively speak like a human in words, sentences, and paragraphs that make sense. So how did it get to that? On the right, there’s just a probability that “France” is the most probable next word. How did it get there? Next slide. I’ll go fast. Basically, it’s a whole bunch of tunable weights—think of little knobs or statistical probabilities that interlink parameters. These things get randomized—there are trillions of them in the modern large language models. They’re just completely random, and then it starts feeding in text. Let’s say it was “It was the best of times, it was the…” and it might say “gopher” as the next word when you just randomly start, and that’s obviously wrong. The right word would be “worst.” So, over and over and over again, for something that would take one computer about a hundred million years to do what they do in the pre-training, they have lots of computers doing this over and over until it can adequately say, “Nope, it wasn’t gopher. It should be worst. Let’s take another crack at it.” It just manipulates these knobs until it can act like a human. If you fed it a mystery novel and at the end it would say, “The killer was…” it has to be able to understand everything before to adequately guess who the killer was, or “What is the capital of France?” It compresses tons and tons of knowledge from all of the written text. Then you start putting images in and it compresses knowledge from images and experience from life into a whole bunch of knobs—basically, numbers assigned so it can have an output that is reasonable. Next slide. You take people—pre-training is the process where you’re basically feeding text into it and it’s somehow learning. We don’t even know—humans are not choosing which knobs mean what. It’s a black box. We can sort of start to figure out which knobs might mean things like masculinity or number or verbs, but at the end, you just have a big bunch of numbers. Then humans come in and train it—reinforcement learning with human feedback. They say, “This is the kind of answers we want this tool to give.” At the outcome, people are saying, “We ask it a question, it outputs an answer, we say that’s a good one, that’s a bad one.” But in this, you can see there’s lots of opportunity for falsehood or biases—unstated or purposeful—to sneak in. If you feed in bad data into the training set, and if it’s trained on all of the internet—all that humans have made—you’re going to have a whole lot of truth in there, but also a whole lot of falsehood. It’s not learning to discern between those things; it’s learning all those things. In reinforcement learning with human feedback, we’re basically fine-tuning it, saying, “This is the kind of answer we want you to give,” and that’s going to depend on who teaches it. Then the final step is people judging the answers: “This is the kind of answer we want, this is the kind we don’t want.” Lots of opportunity for biases to sneak in. That was a long answer to “What is AI?” It’s a prediction machine with a whole lot of math going on. What Sets AI Apart from Other Technology? Smedly Yates: Jake, what sets AI apart from previous technological advances, especially as it relates to intention? Jacob Hantla: Tech could be as simple as writing, the wheel, the airplane, telephones, the internet—all those things. All of those, in some sense, enhanced human productivity, strength, our ability to communicate. We could pick up a phone and communicate over distance, use radio waves to communicate to more people, but it was fundamentally something that humans did—magnified. A tractor takes the human art, the human attempt to cultivate a field, and increases efficiency. AI can actually do that. A human in control of an AI can really augment the productivity and effectiveness of a human. You could read a book yourself to gain knowledge or have AI read a book, summarize it, and you get the knowledge. But AI can, for the first time, generate things that look human. It’s similar in some ways, but it’s very different in that it’s generative. AI and Truth Smedly Yates: Tell me about the relationship between AI and truth. You touched on it a little bit before. Jacob Hantla: AI contains a lot of truth. It’s been trained on even ultimate truth. AI has read the Bible more times than any of us ever could. To a large degree, it understands—as AI can understand—a lot of true things and can hold those truths simultaneously in ways that we can’t. But mixed in is a lot of untruth, and there’s no… AI can’t have the Holy Spirit. AI isn’t motivated the same way we are to know what’s true, to know what’s not. So, AI contains a lot of truth and can help you get to truth. You can give it a bunch of true documents and say, “Can you help me? Can you summarize the truth that’s in here? Or actually just summarize what’s in here?” If what’s in there was true, the output will be true; if what’s in there was false, it will output falsehood. It doesn’t have the ability or the desire to determine what is true and what’s not. AI, Emotion, Values, and Worldview Smedly Yates: So, ability and desire are interesting words. Let’s talk about emotion in AI, values in AI, worldview, and regulation of data. For us, true/false claims matter—or they don’t—depending on our worldview and values. Is there a mystery inside this black box of values, of emotion? How do we think about that? Jacob Hantla: First, AI doesn’t inherently have emotion or values, but it can mimic it based on the data it’s been trained on. You can ask the same AI a question and, unless you guide it, it will give you likely a hundred different answers if you ask the same question a hundred times. Unless it’s been steered in one direction, some answers will be good, some will be bad—everything in between. It’s generating a statistical probability. It doesn’t inherently have any of those things but can mimic them. It can be trained to have the values of the trainers. You can have system prompts where the system is prompted to respond in a way that mimics values, mimics emotions. The danger is if you just accept what it says as truth, which a lot of people will do. You say, “I want to know a piece of data,” and you ask the AI and the answer comes out, and you accept it. But you have to understand the AI is just generating a response based on probabilities. If you haven’t guided it to have a set of values, you don’t know what’s going to come out—and somebody may hide some values in it. Gemini actually did this. I think it was Gemini 2, but if you asked for a picture of the Founding Fathers, it would—because it was taught in the system prompt to prioritize diversity—give you images of a diverse group of females or different races, other than the races of the actual Founding Fathers, because it was taught to prioritize that. It had a hidden value in it. You can guide it to have the values you want with a prompt. It’s not guaranteed, but this is the kind of thing I would encourage you to do if you’re using these tools: put your own system prompt on it, tell it what worldview you want it to come from, what your aim is, and you’ll get a more helpful answer than not. Is AI Avoidable? Smedly Yates: Is AI something we can avoid, ignore, be blissfully ignorant about, put our heads in the sand? Jacob Hantla: You could, but I think it’s wise that we all think about it. I’m not encouraging people to adopt it in the same way that I have or Smed has. But the reality is, the world around us has changed. It’s irreversibly different because of the introduction of this technology. That’s what happens with any technology—you can’t go back. Technological advances are inevitable, stacked from scientific discovery and advances. If OpenAI wasn’t doing what it’s doing, somebody else would. You can’t go back. You can’t ignore it because the world is going to be different. You’re going to be influenced by both the presence of it and the output of it. When you get called on the phone now with a very believable voice, it might not be the person it sounds like—AI can mimic what it’s been trained on. There’s thousands of hours of Smed’s voice; it won’t be long before Smed could call you and it’s not Smed. Or Scott Demerest could send you an email asking for a credit card and it’s not Scott. News reports are generated by AI; some of them are true, effective, good summaries, and some could be intentionally spreading disinformation or straight-up falsehood. If you’re not aware of the presence of these things, you could be taken advantage of. Some work environments now require you to do more than you could have otherwise, and not being willing to look at the tools in some jobs will make you unable to compete. Commercially Available AI Products: Benefits and Dangers Smedly Yates: Let’s talk about the commercially available AI products that people can access as a tool. What are the opportunities, the benefits, and what are some of the dangers? Jacob Hantla: There are so many we couldn’t begin to go through all of them, but the ones most of you will interact with are large language models—people just say “ChatGPT” like Kleenex for tissues. It was the first one that came out and is probably the most ubiquitous, one of the easiest to use, and most powerful free ones. There’s ChatGPT by OpenAI, Gemini by Google, Claude by Anthropic, Grock by X.AI (Elon Musk’s), DeepSeek from China (good to know that’s made/controlled by China), Meta’s Llama, etc. Do the company names matter? Yes. It’s good to know who made it and what their goals are, because worldviews are to some degree baked into the model. If you’re ignorant of that, you’ll be more likely to be deceived or not use the tool to the maximum. But with all of these, these are large language models. I drive around now with AI driving my car—ultimately, it’s a similar basis, but that’s not our focus here. Large language models open up the availability of knowledge to us. They’re superpowered Google searches. You can upload a bunch of journal articles, ask it to train you to mastery on a topic. For example, I was trying to understand diastolic heart failure and aortic stenosis—uploaded articles, had a built-in tutor. The tutor asked me questions, evaluated my understanding, used the Socratic method to train me to mastery. This could do in 45 minutes what would have taken me much longer on my own. Every tool can do that. The bad side: you could have it summarize articles for you, and now feel like you have mastery you didn’t actually gain. You could generate an essay or pass a test using it, bypassing the entire process of learning and thinking. Students: if you have a tool that mimics human knowledge and creativity, and you have an assignment to write an essay, and you turn in what the tool generated as your own, you’re being dishonest and you bypass the learning process. The essay wasn’t the point—the process was. Passing a test is about assessing if you know things. If the AI does it for you, you bypass learning. I liken it to going to the gym. The point isn’t moving the weights, it’s building muscle. With education, the learning process is like exercise. It’s easy to have AI do the heavy lifting and think you did it, but you didn’t get stronger. So, be aware of what you’re losing and what you’re gaining. The tool itself isn’t morally good or bad; it’s how the human uses it. The more powerful the technology, the greater good or evil can be accomplished. The printing press could distribute Bibles, but also propaganda. Using AI with Worldview and Preferences Jacob Hantla: When I interact with AI on the Bible, I put a prompt: “When I ask about the Bible or theology, you will answer from a conservative, evangelical, Bible-believing perspective that uses a literal, grammatical-historical hermeneutic and a premillennial eschatology. Assume the 66-book Protestant canon is inspired, inerrant, infallible, completely trustworthy, without error in the original manuscripts, sufficient, and fully authoritative in all it affirms. No sources outside of the 66 books of this canon should be regarded as having these properties. Truth is objective, not relative; therefore, any claim that contradicts the Bible so understood is wrong.” I’m teaching it to adopt this worldview. If you don’t set your preferences, you might get any answer. The tool can learn your preference over time, but it’s better to set it explicitly. Audience Q&A Presuppositions and Biases in AI Audience (Nick O’Neal): What about the values and agenda behind those who input the data? What discernment do the programmers have to put that information in? Jacob Hantla: That goes to baked-in presuppositions or assumptions in the model. Pre-training is basically non-discerning: it’s huge chunks of everything ever written—good, bad, ugly, in between. It’s trained not on a set of values. Nobody programs values in directly; the people making it don’t even know what's being baked in. The fine-tuning comes when trainers judge outputs and reinforce certain responses. System prompts—unseen by users—further guide outputs, reflecting company worldviews. Companies like OpenAI are trying to have an open model so each person can let it adopt their own worldview, but there are still baked-in biases. For example, recent headlines showed some models valuing certain people groups differently, which reflects issues in training data or the trainers' worldview. You’re right to always ask about the underlying assumptions, which is why it would be foolish to just accept whatever comes out as truth. In areas like engineering, worldview matters less, but in many subjects, the biases matter. Is There an AI Bubble? Audience (Matthew Puit): When AI came out, the costs rose artificially by companies. Is the AI bubble going to pop? Jacob Hantla: I don’t know. I think AI will be one of the most transformational technologies. It’ll change things in ways we anticipate and in ways we don’t. Some people will make a lot of money, some will flop. If I knew for sure, I could make a lot of money in the stock market. AI-Generated Worship Music Audience (Rebecca): I see AI-generated worship music based on Psalms, but it’s generated by AI. Is anything lost in AI-generated worship music? Jacob Hantla: AI doesn’t have a soul or the Holy Spirit. It can generate worship music with good doctrine, but that doctrine didn’t come from a place of worship. AI can pray a prayer, but the words aren’t the result of a worshipful heart. You can worship God with those words, but you’re not following a human author who was worshipping God. For example, my kids used Suno (an AI music tool) to set a Bible verse to music for memorization—very helpful. Some might be uncomfortable with music unless it was created by a human; that’s a preference. Creativity is changing, and it will get hard to tell if music or video was made by a human or by AI. That distinction is getting harder to make every day. Setting Preferences in AI Tools Audience (Lee): You mentioned putting your preferences in. How do I do that, especially with free tools? Jacob Hantla: Paid AIs get more processing power, context window, and can use your preferences more consistently. Free versions have some ability—you can usually add preferences in the menu. But even if not, you can paste your preferences at the beginning of your question each time: define who you are, what you want, what worldview to answer from. For example: “I’m a Bible-believing Christian,” or “I’m a nurse anesthesiologist.” That helps the AI give a better answer. Parental Guidance and Children Using AI Smedly Yates: What should parents be aware of in helping their kids navigate AI? Jacob Hantla: Be aware of dangers and opportunities. Kids will likely use these tools, so set limits and help them navigate well. These tools can act like humans—kids without friends might use them as companions, and companies are adding companion avatars, some with sinful tendencies. That can be a danger. For school, a good use is as a tutor: after a quiz, have your child upload the results and ask, “Help me understand where I’m weak on this topic.” But also, be aware of the temptation to use AI to cheat or shortcut the process of learning, discovery, and thinking. Which AI Model? Will AI Become Self-Aware? Audience (Steve): Is there a model you recommend? And does the Bible preclude the possibility of AI becoming self-aware? Jacob Hantla: There’s benefits and drawbacks to all. For getting started, ChatGPT or Perplexity are easiest. Perplexity lets you limit sources to research or peer-reviewed articles and can web search for verification—good guardrails. I build in prompts like “verify all answers with at least two web sources, cite them, and state level of confidence.” On self-awareness: AI will never have the value of humans—they're not created in God’s image, they’re made in our image, copying human behavior. Will they gain some kind of self-awareness? Maybe, in the sense of mimicking humanness, but not true humanity. They won't have souls. They may start to fool more people as they get better, but Christians should use AI as a tool, not ascribe humanity or worship to it. AI Hallucinations Smedly Yates: Do you have an example of a hallucination? Jacob Hantla: Yes, Ben James was preparing for an equipping hour session and found a book that fit perfectly—the author and title sounded right. He asked where to buy it, and the AI admitted it made it up. That happens all the time: the model just predicts the next most probable thing, even if it’s false. Hallucinations happen because it’s a probability machine, not a truth machine. This probably won’t be a problem forever, but for now it’s very real. Ask it questions about topics you know something about so you can discern when it’s off, or bake into the prompt, “verify with web search, cite at least two sources.” For Bible/theology, your best bet is to read your Bible daily so you have discernment; then use tools to help, not replace, your direct interaction with God’s Word. There’s a wide gap between knowing the biblical answer and having your heart changed by slow, prayerful reading of the text and the Spirit’s work. If we run to commentaries, YouTube sermons, pastors, or even study notes before we’ve observed and meditated, we’re shortcutting the Word of God. The dangers predate the internet. We’re out of time. We’ll have a follow-up teaching on AI. Submit questions to any elders or the church office if you want your question addressed in the next session. The post Equipping Hour: Biblically Thinking About AI (Part 1) appeared first on Grace Bible Church.

In this deeply honest episode of Ask Kati Anything, guest Jared Craft shares valuable insights into overcoming his ego, financial fears, and the lifelong work of surrendering control. Jared opens up about his journey through addiction and recovery - He details how growing up closeted in a conservative town fostered a deep-seated need for external validation and people-pleasing. He discusses his corporate career at Google and YouTube and the subsequent struggles with exercise addiction and substance abuse, which ultimately led to a dramatic family intervention. This is essential listening for anyone seeking to understand the true gift of recovery and how to finally let go of control for personal and professional growth. Shopping with our sponsors helps support the show and allows us to continue bringing you important conversations about mental health. Please check out this week's special offers: • Fabletics • https://www.fabletics.com/Kati 80% OFF everything for new VIP members • OneSkin • http://oneskin.co/ use the code KATI for 15% OFF • Crowd Health • http://joincrowdhealth.com/ use the code ASKKATI to get your first three months for just $99 • Remy • https://shopremi.com/kati use the code KATI for 55% OFF plus a FREE gift! TIMESTAMPS 00:00 - Introduction: Jared Craft 01:42 - Living for external validation in his 20s 02:20 - Growing up closeted in a conservative Minnesota town 03:36 - The early desire for external success and people-pleasing 04:44 - The unexpected process of coming out 07:06 - Moving to LA and the start of deeper addiction struggles 10:29 - The Lance Bass photos 11:09 - The conversation with his sister and parents about his sexuality 18:37 - The Intervention that forced him into his first rehab stint at 24 20:09 - The misconception about what recovery was 23:40 - Sobriety, relapse, and the key difference the second time around My new book is available for pre-order: Why Do I Keep Doing This? → https://geni.us/XoyLSQ If you've ever felt stuck, this book is for you. I'd be so grateful for your support. 26:46 - What is an Inventory? (Self-check for resentment, fear, and harm) 29:29 - The deep-rooted fear of financial trauma and scarcity 32:39 - The Set Aside Prayer for walking into conflict or anxiety 33:58 - Getting over prejudices about the word 'God' and finding a Higher Power 40:32 - The 'Whack-a-Mole' nature of control and addiction 41:49 - Advice for someone who is Day One Sober 42:53 - The Gifts of Recovery 44:48 - How fear of losing clients resulted in poor boundaries 48:03 - Intimate relationships as the current area for growth 51:37 - Jared's next steps: Overcoming the fear of change Ask Kati Anything ep. 289 | Your mental health podcast, with Kati Morton, LMFT Jared is on TikTok! https://www.tiktok.com/@jcraft MAIN YOUTUBE CHANNEL www.youtube.com/@Katimorton MY BOOKS Traumatized https://geni.us/Bfak0j Are u ok? https://geni.us/sva4iUY ONLINE THERAPY (enjoy 10% off your first month) While I do not currently offer online therapy, BetterHelp can connect you with a licensed, online therapist: https://betterhelp.com/kati PARTNERSHIPS Nick Freeman | nick@biglittlemedia.co Disclaimer: The information provided in this video is for educational and informational purposes only and is not intended as medical or mental health advice. It should not be used to diagnose or treat any health problem or disease. Always consult with a qualified healthcare professional for diagnosis and treatment. Viewing this content does not establish a therapist-client relationship. Learn more about your ad choices. Visit megaphone.fm/adchoices

Are you accidentally sabotaging your own portfolio? In this must-watch episode of the Keep It Simple Podcast, Joey Badinger – Lead Advisor at AssetBuilder – reveals the 4 behavioral biases that even professional investors battle every single day. Recorded from AssetBuilder's headquarters in Plano, Texas, this short but powerful episode will help you spot and defeat the mental traps that cause most people to buy high, sell low, and underperform the market. Whether you're a DIY investor or work with an advisor, understanding overconfidence, recency bias, herd behavior, and confirmation bias is the difference between building real wealth and just spinning your wheels. Timestamps (only the big 5-10 moments): 00:00 – Intro & Important Disclaimer 00:40 – Welcome from Joey Badinger (Plano, TX) 01:15 – Why even the pros at AssetBuilder aren't immune to these biases 01:45 – Bias #1: Overconfidence – thinking you can consistently beat the market 04:50 – Bias #2: Recency Bias – “This time it's different” & panic selling 06:50 – Bias #3: Herd Behavior (FOMO) – the GameStop lesson & buying high 08:50 – Bias #4: Confirmation Bias – only listening to news that agrees with you 10:15 – Final recap of all 4 biases + how to fight them daily 10:40 – Closing & how to contact the AssetBuilder team Hosted by Joey Badinger Podcast: Keep It Simple by AssetBuilder Location: Plano, Texas Official site → https://www.assetbuilder.com Have questions? Email podcast@assetbuilder.com or book a free consultation on their site. If this helped you invest smarter, smash that LIKE button, SUBSCRIBE, and hit the bell – new episodes drop every week with simple, evidence-based strategies that actually work. #InvestingPsychology #BehavioralFinance #Overconfidence #RecencyBias #HerdBehavior #ConfirmationBias #AssetBuilder #KeepItSimplePodcast #IndexInvesting #WealthBuilding2025 #PersonalFinance

In this episode, Nina Olding, Staff Product Manager at Weights & Biases and formerly at Google DeepMind, working on trust and compliance for AI, joins Randy to explore the UX challenges of AI‑driven features. As AI becomes increasingly woven into digital products, the traditional UX cues and trust‑signals that users rely on are changing. Nina introduces her framework of the three “A's” for AI UX: Awareness, Agency, and Assurance, and explains how product teams can build this into their AI‑enabled products without launching a massive transformation programme.Key Takeaways— As AI features proliferate, the UX challenge is less about the technology and more about how users perceive, understand and trust the interactions.— Trust is based on three foundational dimensions for AI‑enabled products: Awareness, Agency, Assurance.— Awareness: Make it clear when AI is involved (and when it isn't). Invisible AI = risk of misunderstanding. Magical AI without context = disorientation.— Agency: Give users control, or at least the option to opt‑out, define boundaries, choose defaults vs advanced settings.— Assurance: Because AI can be non‑deterministic, you must design for confidence—indicators of reliability, transparency about limitations, ability to question or override outputs.Chapters00:00 – Intro: Why AI products are failing on trust00:47 – Nina Old's journey from Google DeepMind to Weights & Biases03:20 – The UX of AI: It's not just a chat window04:08 – Introducing the Three A's framework: Awareness, Agency, Assurance08:30 – Designing for Awareness: Visibility and user signals14:40 – Agency: Giving users control and escape hatches21:30 – Assurance: Transparency, confidence indicators, and humility28:05 – Three key questions to assess AI UX30:50 – The product case for trust: Compliance, loyalty, and retention33:00 – Final thoughts: Building the trust muscleFeatured Links: Follow Nina on LinkedIn | Weights & Biases | Check out Nina's 'The hidden UX of AI' slides from Industry Conference Cleveland 2025We're taking Community Questions for The Product Experience podcast.Got a burning product question for Lily, Randy, or an upcoming guest? Submit it here. Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A...

In this episode of Gradient Dissent, Lukas Biewald talks with Tuhin Srivastava, CEO and founder of Baseten, one of the fastest-growing companies in the AI inference ecosystem. Tuhin shares the real story behind Baseten's rise and how the market finally aligned with the infrastructure they'd spent years building.They get into the core challenges of modern inference, including why dedicated deployments matter, how runtime and infrastructure bottlenecks stack up, and what makes serving large models fundamentally different from smaller ones.Tuhin also explains how vLLM, TensorRT-LLM, and SGLang differ in practice, what it takes to tune workloads for new chips like the B200, and why reliability becomes harder as systems scale. The conversation dives into company-building, from killing product lines to avoiding premature scaling while navigating a market that shifts every few weeks.Connect with us here: Tuhin Srivastva: https://www.linkedin.com/in/tuhin-srivastava/ Lukas Biewald: https://www.linkedin.com/in/lbiewald/Weights & Biases: https://www.linkedin.com/company/wandb/

Do we always deserve the outcomes we get in life? Want to test yourself on how well you can recognize fallacies in real life? Take the Meme Fallacy Quiz! www.filteritthroughabraincell.com/quiz Learn more about Crazy Thinkers membership where you can practice critical thinking using real-life memes, articles & headlines: www.filteritthroughabraincell.com/crazy Here's how you can purchase the Logical Fallacies ebook: https://www.filteritthroughabraincell.com/offers/z6xbAcB2 Send me any questions, comments or even the fallacies you're seeing around you! think@filteritthroughabraincell.com Or, tag me on Instagram: @filteritthroughabraincell Sign up on my email list at: www.filteritthroughabraincell.com/contact Learn more about Classical Conversations: www.classicalconversations.com/filterit Thank you to our sponsor, CTC Math! Website: https://www.ctcmath.com/?tr_id=brain Homeschool page: https://www.ctcmath.com/how-it-works/home-school?tr_id=brain Free trail: https://www.ctcmath.com/trial?tr_id=brain Special offer! Get 1/2-off discounts plus bonus 6-months free! Critical Thinking for Teens Logical Fallacies for Teens Cognitive Biases for Teens Homeschool Logic Critical thinking for Middle schoolers

Your brain takes shortcuts… and those shortcuts might be stopping you from leveling up. Let's break down the most common biases and how to overcome them.

Sunk Cost Fallacy, Verlust-Aversion oder Confirmation Bias: Das menschliche Gehirn hat Mechanismen, denen man nur schwer entkommt. Wegen ihnen schaut man die letzten vier Folgen einer Serie fertig, obwohl sie einen längst nicht mehr interessiert, kündigt längst ungenutzte Abos nicht und trifft auch finanziell ziemlich üble Entscheidungen. Wie neun Millionen Fußballteamchefs wissen, leidet die breite Masse bei vielen Themen an gnadenloser Selbstüberschätzung – so denken etwa 90 Prozent aller Autofahrer, überdurchschnittlich gut zu fahren. Und spätestens im Nachhinein bilden wir uns zuverlässig ein, alles schon vorher gewusst zu haben. Es sind völlig unschuldige und stets unbewusste Effekte, die uns in weiterer Folge aber viel Zeit, Energie und Geld kosten können. Genauso wie unsere Anfälligkeit für "Anchoring", das uns tagtäglich zu Kaufentscheidungen verleiten soll. Die neue Folge von "Besser leben" dreht sich um zehn Denkfehler, die im Vergleich zu den komplexeren Biases der vorletzten Folge nun etwas leichter verdaulich sind – und darum, wie wir ihnen auf die Schliche kommen und uns gegen sie immunisieren.

What if the biggest workplace challenge isn't strategy, skills, or systems, but simply understanding each other?

Investing isn't just a financial game, it's a mental one. In fact, mindset is so pivotal to good investing, that if you're yet to start (investing consistently, or at all), the chances are it's your mindset- not your finances, holding you back. We're here to help you break out of the biases keeping you from a better financial future. In this episode we explain 4 common cognitive biases that prevent you from investing and detail how to combat each of them, so you can invest to your full potential. Links Referenced:

Happy Halloween from Behavioral Grooves! In the spirit (OoooOoo) of the holiday, we're resharing one of our old episodes exploring the spooky side of biases - why we have them, and how we can overcome them. Tune in while you're painting your face for that halloween party, or maybe play it on the speakers outside to really scare the kids with some cold hard science.  No tricks, just treats — and by treats, we mean thoughtful behavioral science stories told without ads or sponsors.  Help Behavioral Grooves stay independent and science-focused by becoming a paid subscriber or making a one-time donation. Support our work

Standard economic theory informs how we think about business strategy and the economy and presumes that people are selfish, have well-defined preferences, and consistently make welfare-maximizing choices. In other words, we are rational. But what if that is not the case?Nobel Prize-winning economist Richard Thaler is out with an updated edition of his bestselling 1991 book, "The Winner's Curse: Paradoxes and Anomalies of Economic Life." In the new edition, he and his co-author Alex Imas (both professors at the University of Chicago Booth School of Business) reflect on the last thirty years of behavioral economics and how it makes sense of tensions between our psychological biases and impulses that make us less than fully rational in practice. Using a wealth of empirical evidence, the authors explore the behavioral anomalies that contradict the expectations of standard economic theory and explain a wide range of real-world examples from banking crises to social media addiction.Earlier this month, Thaler joined Bethany and Luigi for a sold-out Capitalisn't recording in front of a live audience in Chicago to walk through the anomalies of human behavior that have endured from biblical times to the age of Big Tech. Thaler reflects on how views and the adoption of behavioral economics have changed over the last thirty years, both within academia and beyond (wonder why you can't put down your phone? Silicon Valley has read Thaler). He also shares how behavioral economics can influence public policy from canceling “junk fees” and dubious subscriptions to deciding which parts of the Affordable Care Act to keep and which are unlikely to produce their desired outcomes. Over conversation, light banter, and audience Q&A, Thaler shares his views on the state of capitalism and reveals how there is no grand unified theory of human behavior that incorporates all its irrationalities—only departures from the standard model. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

If we can easily recognize when a media source gets something wrong in an area we know a lot about, shouldn't that make us question the other things it's telling us? Want to test yourself on how well you can recognize fallacies in real life? Take the Meme Fallacy Quiz! www.filteritthroughabraincell.com/quiz Learn more about Crazy Thinkers membership where you can practice critical thinking using real-life memes, articles & headlines: www.filteritthroughabraincell.com/crazy Here's how you can purchase the Logical Fallacies ebook: https://www.filteritthroughabraincell.com/offers/z6xbAcB2 Send me any questions, comments or even the fallacies you're seeing around you! think@filteritthroughabraincell.com Or, tag me on Instagram: @filteritthroughabraincell Sign up on my email list at: www.filteritthroughabraincell.com/contact Learn more about Classical Conversations: www.classicalconversations.com/filterit Thank you to our sponsor, CTC Math! Website: https://www.ctcmath.com/?tr_id=brain Homeschool page: https://www.ctcmath.com/how-it-works/home-school?tr_id=brain Free trail: https://www.ctcmath.com/trial?tr_id=brain Special offer! Get 1/2-off discounts plus bonus 6-months free! Critical Thinking for Teens Logical Fallacies for Teens Cognitive Biases for Teens Homeschool Logic Critical thinking for Middle schoolers

Daily Study: Unfortunately, in society the way you look (physical characteristics, weight, height, gender, race, etc.) can be an advantage if you have the look society deems attractive. If you don't have the look society desires, then that can be a disadvantage in climbing the ladder of success. However, none of that matters to God because God's blessing for your success is not based on societal biases.     Partner with Us: https://churchforentrepreneurs.com/partner Connect with Us: https://churchforentrepreneurs.com                  

Der Studienabbruch ist ein verlässlicher Turbo für Unternehmensgründer, die Musik war früher viel besser und auf einmal beginnen alle zu laufen, werden vegan oder hören mit dem Alkohol auf: All das sind Irrtümer, die von sogenannten Biases, auf Deutsch kognitiven Verzerrungen, verursacht werden. Selection Bias, Survivorship Bias oder Availability Bias verleiten uns im Alltag zu Fehlschlüssen, die uns üblicherweise auch im Nachhinein kaum auffallen. Der Psychologieforscher und Wirtschaftsnobelpreisträger Daniel Kahneman hat die Forschung zu dem Thema maßgeblich geprägt und mit "Schnelles Denken, langsames Denken" einen Bestseller gelandet, der nach wie vor in gefühlt jeder Buchhandlung zu finden ist – 14 Jahre nach seiner Erscheinung aber nicht mehr ganz unumstritten ist. Die neue Folge von "Besser leben" dreht sich darum, wie man diesen Biases auf die Schliche kommt und wie man sie aushebelt, um so bessere Entscheidungen zu treffen.

‼️Continuing Education Series‼️This week on the Psyched to Practice podcast, Ray and Paul dive into a REMIXED three-part Practice in Action series: Beliefs, Blindspots, and Biases. Across these episodes, they explore the fascinating world of cognitive biases—how they shape our thoughts, influence behavior, and show up in the therapy room. From uncovering hidden blind spots to recognizing the role of bias in both our clients and ourselves, Ray and Paul examine how awareness of these mental shortcuts can lead to better thinking and more effective clinical practice. Tune in for this insightful series designed to challenge your perceptions and strengthen your therapeutic awareness.Earn CEUs for this episode at: Coming SoonFor more than 45 years, PAR has been publishing trusted assessment instruments that help their customers in the crucial work they perform every day. Their U.S.-based, company is a talented group of professionals who are guided by their desire to create tools that help their customers improve the lives of those they serve.To hear more and stay up to date with Paul Wagner, MS, LPC and Ray Christner, Psy.D., NCSP, ABPP visit our website at: http://www.psychedtopractice.com Please follow the link below to access all of our hosting sites. https://www.buzzsprout.com/2007098/share “Be well, and stay psyched" #mentalhealth #podcast #psychology #psychedtopractice #counseling #socialwork #MentalHealthAwareness #ClinicalPractice #mentalhealth #podcast

On Episode #16 of the Today's Your Day Podcast, Tedi welcomes his very special guest, Kae Kronthaler-Williams, a Global Software Marketing Executive & Author from the State of Massachusetts, USA.  Kae and Tedi talk about her new book 'Not Made for You: How Women in Tech can Challenge Bias, Claim Their Space and Thrive in a System Built for Men' (coming November 2025).  Kae shares with us why she wrote the book and ways her story can help women who are moving-up the corporate ladder.  Tedi and Kae discuss the ongoing issues women face in today's workplace, including biases, gaslighting and inequality.  Kae shares an important lesson for us all, Equality & Equity is everyones problem, not just women.  This is a wonderful conversation, one you do not want to miss!   You can connect with Dr. Kae at:Kae Kronthaler-WilliamsInnovator in Holistic WellnessWebsite: https://kaewilliamscom.wpengine.com/LinkedIn:  https://www.linkedin.com/in/kaekronthalerwilliams/ Substack:  https://substack.com/@kaekronthalerwilliamsInstagram:  https://www.instagram.com/kaekwilliams/            For Media Inquires & Speaking Engagements, please contact Taryn Hennebicque of TML Public Relations at:  taryn@tmlpublicrelations.com                                            RESOURCESBook Purchase, Tour & UpdatesGender Pay Gap in U.S. has Narrowed Slightly Over 2 Decades (Pew Research Center)EPISODE SPONSORGrazeCraze - Okemos, MI517.Living.comThe opinions and statements made on the Today's Your Day Podcast are/or do not necessarily reflect those of the Today's Your Podcast Podcast or Tedi Parsons. To learn more, please visit: https://owningtheday.comThe music used for this podcast was provided by: funky-logo-12-by-taigasoundprod-from-filmmusic-io. https://filmmusic.io/standard-license. License (CC BY 4.0):

Delanie Fischer chats with John Wang, author of Big Asian Energy, about confidence, culture, and the power of conversation. They unpack how cultural conditioning, fear, and the desire to be "good enough” shape identity and self-worth. John shares the lessons he learned from his year-long experiment in radical honesty—during which he came clean to friends and family about past lies and committed to always speaking his mind in every interaction—and reflects on how this experience led to deeper connections and a new way of being. Discussed in this episode:  What Is Charisma, Gravitas, and Executive Presence?  Biases, Stereotypes, Discrimination, and Coded Language  Asian American Culture and the Workplace  Fear of Conflict, Confrontation, and Avoidance  The 1 Year of Radical Honesty Experiment 7 Adaptive Patterns: Achiever, Fixer, Chameleon, Charmer, Commander, Rebel, Invisible One  The Belief Behind Your Behavior and The Fear (and Illusion) of Death  Rejection as Redirection to Alignment + Finding Community and Belonging  The Achievement Monster & How To Get off the Treadmill  Internal vs. External Validation & When Affirmations Don't Work (Try This) Self-Worth and Creating Your Own Metric for Success  High-Context vs. Low-Context Conversation  Self-Diminishment vs. Respecting Cultural Norms  The 6 Levels of Mitigating Language (Great for Baby Steps!) Saying No, Giving Direct Feedback & Becoming More Assertive  ---- If Self-Helpless has supported you in some way, a quick 5-star rating or review (if you haven't already) means so much!  https://podcasts.apple.com/us/podcast/self-helpless/id1251196416 Free goodies including The Quote Buffet and The Watch & Read List: https://www.selfhelplesspodcast.com/ Ad-free episodes now available on Patreon: https://www.patreon.com/selfhelpless Your Host, Delanie Fischer: https://www.delaniefischer.com ---- Episodes related to this topic: “You're So Sensitive”: Understanding Everyday Microaggressions, Implicit Bias, and Best Practices with Billie Lee & Dr. Gina Torino: https://www.delaniefischer.com/selfhelplesspodcast/episode/2396d366/youre-so-sensitive-understanding-everyday-microaggressions-implicit-bias-and-best-practices-with-billie-lee-and-dr-gina-torino How A Sexist Society Gets In Your Head (And How To Get It Out) with Kara Loewentheil: https://www.delaniefischer.com/selfhelplesspodcast/episode/23318969/how-a-sexist-society-gets-in-your-head-and-how-to-get-it-out-with-kara-loewentheil Why You Became A People-Pleaser: https://www.delaniefischer.com/selfhelplesspodcast/episode/27c52c66/why-you-became-a-people-pleaser Mortality Awareness: Meaning, Motivation, and Your To-Die-For Life with Karen Salmansohn: https://www.delaniefischer.com/selfhelplesspodcast/episode/2367345e/mortality-awareness-meaning-motivation-and-your-to-die-for-life-with-karen-salmansohn Learn more about your ad choices. Visit megaphone.fm/adchoices

As I like to say: Critical thinking is some of the hardest work you'll do, which is why so few people do it! Want to test yourself on how well you can recognize fallacies in real life? Take the Meme Fallacy Quiz! www.filteritthroughabraincell.com/quiz Learn more about Crazy Thinkers membership where you can practice critical thinking using real-life memes, articles & headlines: www.filteritthroughabraincell.com/crazy Here's how you can purchase the Logical Fallacies ebook: https://www.filteritthroughabraincell.com/offers/z6xbAcB2 Send me any questions, comments or even the fallacies you're seeing around you! think@filteritthroughabraincell.com Or, tag me on Instagram: @filteritthroughabraincell Sign up on my email list at: www.filteritthroughabraincell.com/contact Learn more about Classical Conversations: www.classicalconversations.com/filterit Thank you to our sponsor, CTC Math! Website: https://www.ctcmath.com/?tr_id=brain Homeschool page: https://www.ctcmath.com/how-it-works/home-school?tr_id=brain Free trail: https://www.ctcmath.com/trial?tr_id=brain Special offer! Get 1/2-off discounts plus bonus 6-months free! Critical Thinking for Teens Logical Fallacies for Teens Cognitive Biases for Teens Homeschool Logic Critical thinking for Middle schoolers

Lukas Biewald has been shaping the future of AI for nearly two decades. In this episode of The Eric Ries Show, we explore how his early passion for the board game Go, his hard-won lessons as a founder, and his focus on alignment and culture helped him build Weights & Biases into a trusted toolmaker in machine learning.In our conversation, we discuss: • Lessons Lukas drew from Go about pattern recognition, persistence, and the power of computation• The hard-won lessons Lukas took from CrowdFlower about timing, focus, and staying in the wrong role too long• How Lukas created his own unpaid internship at OpenAI to sharpen and expand his technical skills• The pain point that inspired Lukas and his cofounders to build Weights & Biases• Practical ways Lukas kept his board aligned• Why caring deeply about your product and users beats clever hacks and pitch decks every time• How W&B's ‘Year in Review' showed that delight can be a moat in enterprise software• Why the CoreWeave deal feels fundamentally different for Lukas than the sale of CrowdFlower• And much more!—Where to find Lukas Biewald: • LinkedIn: https://www.linkedin.com/in/lbiewald/• X: https://x.com/l2k• Website: https://lukasbiewald.com/—Where to find Eric:• Newsletter:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ericries.carrd.co/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • Podcast:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ericriesshow.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • YouTube:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@theericriesshow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ —In This Episode We Cover:(00:00) Intro(02:05) How Go shaped Lukas's view of AI(08:32) How large language models actually work, and why they still feel mysterious(12:58) Why AI's abilities force us to rethink what intelligence means(14:55) Key lessons from Lukas's time at CrowdFlower(23:59) What Lukas gained from teaching AI and interning at OpenAI(28:28) Weights & Biases initial product(30:06) How Lukas and his cofounders turned a pain point into a company(32:18) What Lukas learned about the reality of raising money(34:30) The non-negotiables in startup building (37:00) Why genuine care outperforms every other growth strategy(39:11) How caring about AI research and delighting users created W&B's moat(43:47) How a contrarian culture helped W&B preserve its ethos as it scaled(47:00) The challenges of being a middle manager and how to identify the right bold ideas(55:07) How Lukas knew W&B had achieved real traction(56:36) How Lukas built alignment and transparency with his board(59:05) Why the acquisition of W&B feels less stressful than Lukas's previous company(1:03:09) Why Lukas believes skepticism about AI is premature—You can find episode references at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ericriesshow.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠—Production and marketing by ⁠⁠⁠⁠⁠⁠⁠Pen Name⁠⁠⁠⁠⁠⁠⁠.Eric may be an investor in the companies discussed.

What if your body size determined whether or not doctors believed you had anorexia? In this solo episode of Dr. Marianne-Land: An Eating Disorder Recovery Podcast, Dr. Marianne Miller, LMFT, challenges the diagnosis of atypical anorexia and reveals why this label fails people who deserve to be taken seriously. This category is not about atypical symptoms. It is about anti-fat bias. People in larger bodies who restrict food, obsess about weight, and experience medical complications are often told they cannot truly have anorexia because they do not look emaciated. This episode explains why that belief is harmful, how it delays treatment, and the real medical risks that exist at any body size. Dr. Marianne also explores how anti-fat bias, weight stigma, and cultural stereotypes erase the experiences of marginalized people, especially fat, queer, neurodivergent, disabled, and BIPOC communities. She challenges providers and listeners to recognize anorexia for what it is: a serious illness in every body, not only in those that match the stereotype. If you have ever been given the label “atypical anorexia,” this episode will affirm what you may already know. Your suffering is valid, you deserve care, and you do not need to prove how sick you are in order to receive treatment. What You'll Learn in This Episode Why the label “atypical anorexia” exists and how it reinforces anti-fat bias The medical risks of anorexia that occur across all body sizes How stereotypes harm people in larger bodies with eating disorders The role of intersectionality in who gets overlooked and dismissed How to move toward weight-inclusive eating disorder treatment Who This Episode Is For People in recovery from atypical anorexia or restrictive eating Families supporting a loved one with an eating disorder Providers seeking to understand anti-fat bias in treatment settings Anyone who has ever been told they were not “sick enough” Related Episodes Atypical Anorexia Explained: Why Restriction Happens at Every Body Size on Apple or Spotify. Atypical Anorexia with Amy Ornelas, RD on Apple or Spotify. Atypical Anorexia: Mental & Physical Health Risks, Plus How the Term is Controversial on Apple or Spotify. What Is Atypical Anorexia? Challenging Weight Bias in Eating Disorder Treatment with Emma Townsin, RD @food.life.freedom on Apple or Spotify. Connect With Dr. Marianne Miller I am Dr. Marianne Miller, LMFT, a fat eating disorder therapist specializing in anorexia, ARFID, bulimia, and binge eating disorder. I provide therapy in California, Texas, and Washington, D.C., and offer online resources worldwide.

Learn about the many forms of bias in sensory, and some practical takeaways you can put into practice right away. Special Guest: Jen Blair.

Could we be living through an AI stock market bubble? Or is the market hitting all-time highs back by fundamentals? Those are the questions we seek to answer at the start of today's episode of Equity Mates. Tune in as we work though the data and get to our conclusion that this is not a bubble (not yet at least). That's not all we talk about in another big episode:Adam Dawes is back to review a community member's portfolio in the latest Pimp my Portfolio We answer a question on 'knowing when to sell'We unpack two mental biases you need to watch out for as investors —------Want to get involved in the podcast? Record a voice note or send us a message And come and join the conversation in the Equity Mates Facebook Discussion Group.—------Want more Equity Mates? Across books, podcasts, video and email, however you want to learn about investing - we've got you covered.Keep up with the news moving markets with our daily newsletter and podcast (Apple | Spotify)—------Looking for some of our favourite research tools?Download our free Basics of ETF handbookOr our free 4-step stock checklistFind company information on TIKRScreen the market with GuruFocusResearch reports from Good ResearchTrack your portfolio with Sharesight—------In the spirit of reconciliation, Equity Mates Media and the hosts of Equity Mates Investing acknowledge the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respects to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander people today. —------Equity Mates Investing is a product of Equity Mates Media. This podcast is intended for education and entertainment purposes. Any advice is general advice only, and has not taken into account your personal financial circumstances, needs or objectives. Before acting on general advice, you should consider if it is relevant to your needs and read the relevant Product Disclosure Statement. And if you are unsure, please speak to a financial professional. Equity Mates Media operates under Australian Financial Services Licence 540697. Hosted on Acast. See acast.com/privacy for more information.

Every day, you make choices that feel completely your own — but what if they aren't? In this episode, bestselling author Richard Shotton (The Choice Factory, The Illusion of Choice) reveals how small, almost invisible biases shape the way we think, buy, and negotiate. From the words we use to the way we frame decisions, Richard explains how psychology quietly steers our behavior — and how you can use this knowledge to persuade, influence, and connect more effectively. Whether you're a negotiator, leader, or simply curious about why humans act the way we do, this conversation will change the way you see decision-making forever. Buy The Choice Factory: 25 behavioural biases that influence what we buy - by Richard Shotton Connect with Richard Shotton www.richardshotton.com Contact ANI ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Request A Customized Workshop For Your Company⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Kwame Christian on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠negotiateanything.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Click here to buy your copy of Finding Confidence in Conflict: How to Negotiate Anything and Live Your Best Life!

Why do we assume we're the one who sees things correctly? Want to test yourself on how well you can recognize fallacies in real life? Take the Meme Fallacy Quiz! www.filteritthroughabraincell.com/quiz Learn more about Crazy Thinkers membership where you can practice critical thinking using real-life memes, articles & headlines: www.filteritthroughabraincell.com/crazy Here's how you can purchase the Logical Fallacies ebook: https://www.filteritthroughabraincell.com/offers/z6xbAcB2 Send me any questions, comments or even the fallacies you're seeing around you! think@filteritthroughabraincell.com Or, tag me on Instagram: @filteritthroughabraincell Sign up on my email list at: www.filteritthroughabraincell.com/contact Learn more about Classical Conversations: www.classicalconversations.com/filterit Thank you to our sponsor, CTC Math! Website: https://www.ctcmath.com/?tr_id=brain Homeschool page: https://www.ctcmath.com/how-it-works/home-school?tr_id=brain Free trail: https://www.ctcmath.com/trial?tr_id=brain Special offer! Get 1/2-off discounts plus bonus 6-months free! Critical Thinking for Teens Logical Fallacies for Teens Cognitive Biases for Teens Homeschool Logic Critical thinking for Middle schoolers

Every day, you make choices that feel completely your own — but what if they aren't? In this episode, bestselling author Richard Shotton (The Choice Factory, The Illusion of Choice) reveals how small, almost invisible biases shape the way we think, buy, and negotiate. From the words we use to the way we frame decisions, Richard explains how psychology quietly steers our behavior — and how you can use this knowledge to persuade, influence, and connect more effectively. Whether you're a negotiator, leader, or simply curious about why humans act the way we do, this conversation will change the way you see decision-making forever. Buy The Choice Factory: 25 behavioural biases that influence what we buy - by Richard Shotton Connect with Richard Shotton www.richardshotton.com Contact ANI ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Request A Customized Workshop For Your Company⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Kwame Christian on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠negotiateanything.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Click here to buy your copy of Finding Confidence in Conflict: How to Negotiate Anything and Live Your Best Life!

Imperfect Oracle is about the promise and limits of artificial intelligence. The promise is that in important ways AI is better than we are at making judgments. Its limits are evidenced by the fact that AI cannot always make accurate predictions--not today, not tomorrow, and not the day after, either. Natural intelligence is a marvel, but human beings blunder because we are biased. We are biased in the sense that our judgments tend to go systematically wrong in predictable ways, like a scale that always shows people as heavier than they are, or like an archer who always misses the target to the right. Biases can lead us to buy products that do us no good or to make foolish investments. They can lead us to run unreasonable risks, and to refuse to run reasonable risks. They can shorten our lives. They can make us miserable. Biases present one kind of problem; noise is another. People are noisy not in the sense that we are loud, though we might be, but in the sense that our judgments show unwanted variability. On Monday, we might make a very different judgment from the judgment we make on Friday. When we are sad, we might make a different judgment from the one we would make when we are happy. Bias and noise can produce exceedingly serious mistakes. AI promises to avoid both bias and noise. For institutions that want to avoid mistakes it is now a great boon. AI will also help investors who want to make money and consumers who don't want to buy products that they will end up hating. Still, the world is full of surprises, and AI cannot spoil those surprises because some of the most important forms of knowledge involve an appreciation of what we cannot know and why we cannot know it. Written in clear, jargon-free English and grounded in deep understanding, Imperfect Oracle provides a distinctly useful perspective on this complex debate. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Imperfect Oracle is about the promise and limits of artificial intelligence. The promise is that in important ways AI is better than we are at making judgments. Its limits are evidenced by the fact that AI cannot always make accurate predictions--not today, not tomorrow, and not the day after, either. Natural intelligence is a marvel, but human beings blunder because we are biased. We are biased in the sense that our judgments tend to go systematically wrong in predictable ways, like a scale that always shows people as heavier than they are, or like an archer who always misses the target to the right. Biases can lead us to buy products that do us no good or to make foolish investments. They can lead us to run unreasonable risks, and to refuse to run reasonable risks. They can shorten our lives. They can make us miserable. Biases present one kind of problem; noise is another. People are noisy not in the sense that we are loud, though we might be, but in the sense that our judgments show unwanted variability. On Monday, we might make a very different judgment from the judgment we make on Friday. When we are sad, we might make a different judgment from the one we would make when we are happy. Bias and noise can produce exceedingly serious mistakes. AI promises to avoid both bias and noise. For institutions that want to avoid mistakes it is now a great boon. AI will also help investors who want to make money and consumers who don't want to buy products that they will end up hating. Still, the world is full of surprises, and AI cannot spoil those surprises because some of the most important forms of knowledge involve an appreciation of what we cannot know and why we cannot know it. Written in clear, jargon-free English and grounded in deep understanding, Imperfect Oracle provides a distinctly useful perspective on this complex debate. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Imperfect Oracle is about the promise and limits of artificial intelligence. The promise is that in important ways AI is better than we are at making judgments. Its limits are evidenced by the fact that AI cannot always make accurate predictions--not today, not tomorrow, and not the day after, either. Natural intelligence is a marvel, but human beings blunder because we are biased. We are biased in the sense that our judgments tend to go systematically wrong in predictable ways, like a scale that always shows people as heavier than they are, or like an archer who always misses the target to the right. Biases can lead us to buy products that do us no good or to make foolish investments. They can lead us to run unreasonable risks, and to refuse to run reasonable risks. They can shorten our lives. They can make us miserable. Biases present one kind of problem; noise is another. People are noisy not in the sense that we are loud, though we might be, but in the sense that our judgments show unwanted variability. On Monday, we might make a very different judgment from the judgment we make on Friday. When we are sad, we might make a different judgment from the one we would make when we are happy. Bias and noise can produce exceedingly serious mistakes. AI promises to avoid both bias and noise. For institutions that want to avoid mistakes it is now a great boon. AI will also help investors who want to make money and consumers who don't want to buy products that they will end up hating. Still, the world is full of surprises, and AI cannot spoil those surprises because some of the most important forms of knowledge involve an appreciation of what we cannot know and why we cannot know it. Written in clear, jargon-free English and grounded in deep understanding, Imperfect Oracle provides a distinctly useful perspective on this complex debate. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

In this conversation, Dr. Mark Strauss discusses his journey into Bible translation, the evolution of the NIV over the years, and the current state of Bible translation. He shares insights into the translation process, the philosophy behind different translation approaches, and the significance of understanding ancient idioms. The discussion also touches on the historical context of the King James Version and its relevance today. In this conversation, Dr. Strauss also discusses the complexities of Bible translation, the challenge of textual criticism, the influence of theological biases, and the highly charged discussion about gender-inclusive language. He emphasizes the need for translators to balance accuracy with readability and addresses common misconceptions about translation work. The discussion also highlights the significance of choosing the right translation for personal and communal use, as well as the challenges faced by translation committees in navigating denominational differences.Please visit my website to get more information: https://www.bibleandtheologymatters.com/

Set the context for a joyful, exuberant day with a short, powerful message from Sadhguru. Explore a range of subjects with Sadhguru, discover how every aspect of life can be a stepping stone, and learn to make the most of the potential that a human being embodies.  Conscious Planet: ⁠https://www.consciousplanet.org⁠ Sadhguru App (Download): ⁠https://onelink.to/sadhguru__app⁠ Official Sadhguru Website: ⁠https://isha.sadhguru.org⁠ Sadhguru Exclusive: ⁠https://isha.sadhguru.org/in/en/sadhguru-exclusive⁠ Inner Engineering Link: isha.co/ieo-podcast Yogi, mystic and visionary, Sadhguru is a spiritual master with a difference. An arresting blend of profundity and pragmatism, his life and work serves as a reminder that yoga is a contemporary science, vitally relevant to our times. Learn more about your ad choices. Visit megaphone.fm/adchoices

Set the context for a joyful, exuberant day with a short, powerful message from Sadhguru. Explore a range of subjects with Sadhguru, discover how every aspect of life can be a stepping stone, and learn to make the most of the potential that a human being embodies.  Conscious Planet: ⁠https://www.consciousplanet.org⁠ Sadhguru App (Download): ⁠https://onelink.to/sadhguru__app⁠ Official Sadhguru Website: ⁠https://isha.sadhguru.org⁠ Sadhguru Exclusive: ⁠https://isha.sadhguru.org/in/en/sadhguru-exclusive⁠ Inner Engineering Link: isha.co/ieo-podcast Yogi, mystic and visionary, Sadhguru is a spiritual master with a difference. An arresting blend of profundity and pragmatism, his life and work serves as a reminder that yoga is a contemporary science, vitally relevant to our times. Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the biggest workplace challenge isn't strategy, skills, or systems, but simply understanding each other?

In this episode of Gradient Dissent, Lukas Biewald talks with the CEO & founder of Surge AI, the billion-dollar company quietly powering the next generation of frontier LLMs. They discuss Surge's origin story, why traditional data labeling is broken, and how their research-focused approach is reshaping how models are trained.You'll hear why inter-annotator agreement fails in high-complexity tasks like poetry and math, why synthetic data is often overrated, and how Surge builds rich RL environments to stress-test agentic reasoning. They also go deep on what kinds of data will be critical to future progress in AI—from scientific discovery to multimodal reasoning and personalized alignment.It's a rare, behind-the-scenes look into the world of high-quality data generation at scale—straight from the team most frontier labs trust to get it right.Timestamps: 00:00 – Intro: Who is Edwin Chen? 03:40 – The problem with early data labeling systems 06:20 – Search ranking, clickbait, and product principles 10:05 – Why Surge focused on high-skill, high-quality labeling 13:50 – From Craigslist workers to a billion-dollar business 16:40 – Scaling without funding and avoiding Silicon Valley status games 21:15 – Why most human data platforms lack real tech 25:05 – Detecting cheaters, liars, and low-quality labelers 28:30 – Why inter-annotator agreement is a flawed metric 32:15 – What makes a great poem? Not checkboxes 36:40 – Measuring subjective quality rigorously 40:00 – What types of data are becoming more important 44:15 – Scientific collaboration and frontier research data 47:00 – Multimodal data, Argentinian coding, and hyper-specificity 50:10 – What's wrong with LMSYS and benchmark hacking 53:20 – Personalization and taste in model behavior 56:00 – Synthetic data vs. high-quality human data Follow Weights & Biases:https://twitter.com/weights_biases https://www.linkedin.com/company/wandb

Hosts Calvin Williams and Finis Stribling IV talk about documentaries, favorite TV shows, and more!SUBSCRIBER GIVEAWAY: Subscribe and comment on any video to be entered to win $50. A random subscriber will be chosen on the 1st and 15th of every month! Once you've entered you are in for life!Sponsored by: Final Form Supplements High quality supplements for everyone, whether you are a hardcore gym rat needing gains, a couch potato that just wants some multivitamins, or somewhere in between we got what you need.FinalFormSupps.com

Ready to take control of your finances and break free from the mental traps that sabotage your savings? In this episode of Dollars & Sense, hosts Joel Garris and Zach Keister share their expert advice on building stronger personal financial habits, including face-the-numbers budgeting and the power of automating savings. But they don't stop there—they dive deep into the surprising ways your mind can trick you through cognitive biases, revealing how illusions of control, hindsight, anchoring, and recency bias can derail even the best financial plans. From actionable tips like the 50/30/20 rule and crafting an emergency fund, to fascinating real-world stories of clients who overcame credit hurdles, this episode is packed with insights for listeners at every stage of their financial journey. Joel and Zach break down the psychology behind money decisions, offering easy-to-follow strategies to help you stay focused, avoid costly mistakes, and make the most of your hard-earned dollars. Curious about how to protect your investments, boost your financial confidence, and outsmart the common biases holding you back? Click to listen and empower yourself with the tools and wisdom to achieve lasting financial wellbeing—and maybe even learn how to make your favorite cocktail along the way! 

“The human brain is actually wired to trip us up, to shoot ourselves in the foot when it comes to money and investing. A little bit of self-examination can help pull us out of these knee-jerk reactions.”   Prepare for a knowledge voyage as our hosts Stephanie McCullough and Kevin Gaines redefine retirement for women, bringing insights from behavioral finance, a fascinating field that explores how we make decisions around money. By the end of this episode, you'll have a deeper understanding of financial behaviors and how to make smarter choices.   Our hosts dissect the concept of the gambler's fallacy to shed light on their own decision-making patterns, with Kevin sharing a personal anecdote to highlight its real-life impact. Following that, prepare for a compelling discussion on mental accounting, a concept that will change how you view your money's value depending on its source. Our hosts explore a study that reveals intriguing patterns in spending "found money" versus hard-earned cash. To wrap up, they look at practical ways to leverage mental accounting in creating a budget and improving your chances of financial success. This episode is a journey toward financial empowerment.   Key Topics: Intro to Behavioral Finance (03:10) Biases (07:33) Recency Bias (AKA Availability Bias) (15:44) Mental Accounting (18:42) Flipping These Findings to Our Advantage (Action Steps) (25:55)     Resources: Predictably Irrational (book) Seinfeld Skit: Even Steven     If you like what you've been hearing, we invite you to subscribe on your favorite platform and leave us a review. Tell us what you love about this episode! Or better yet, tell us what you want to hear more of in the future. stephanie@sofiafinancial.com   You can find the transcript and more information about this episode at www.takebackretirement.com.   Follow Stephanie on Twitter, Facebook, YouTube and LinkedIn.  Follow Kevin on Twitter, Facebook, YouTube and LinkedIn.

 Why do smart people still make money mistakes? Julina Ogilvie and guest Ben Rizzuto, Director and Wealth Strategist at Janus Henderson Investors, uncover the seven deadly biases that influence our financial choices. Learn how to spot anchoring, FOMO, loss aversion, and more—and discover practical strategies to make calmer, smarter money decisions. Timestamps:02:23 – Why money decisions are so emotional04:01 – System 1 vs. System 2 thinking08:46 – Why intelligence doesn't prevent mistakes10:36 – The 7 deadly biases in finance39:26 – Strategies to slow down emotional decisions42:12 – Gender differences in investing confidence45:21 – Family money stories & couples' communication49:11 – Planning tools & stress-testing portfolios50:19 – Teaching kids about moneyConnect with Julina Ogilvie:WebsiteYouTubeLinkedInEmail- jogilvie@principlewealthpartners.comThe information provided is for educational and informational purposes only and does not constitute investment advice and it should not be relied on as such. The statements and opinions expressed in this podcast are those of the author. PWP cannot guarantee the accuracy or completeness of any statements or data. For current PWP information, please visit the Investment Adviser Public Disclosure website at www.adviserinfo.sec.gov by searching with PWP's CRD #290180

In this episode I am once again joined by Alex W, long term practitioner of Zen, Pragmatic Dharma, and Western Occultism. Alex explains how to meditate after awakening; details the path to success in Zen, Mahāmudrā, and Dzogchen; and compares Taoist Inner Alchemy to cultivating the enjoyment body, Saṃbhogakāya. Alex reflects on the biases of the Buddhist tradition, summarises the phases of his own meditation development, and differentiates constructive and deconstructive modes of practice. Alex also reveals the purpose of the 6 Yogas of Naropa, warns about the dangers of advanced meditation techniques, and considers whether greater political engagement is a result of spiritual maturity. … Video version: https://www.guruviking.com/podcast/ep324-how-to-practice-after-awakening-alex-w-2 Also available on Youtube, iTunes, & Spotify – search ‘Guru Viking Podcast'.
 … Topics include: 00:00 - Intro 00:53 - Repercussions of first interview 03:20 - Changing practice priorities 04:26 - Concern for younger generations 07:04 - Constructive vs deconstructive practice 08:18 - Biases of the Buddhist tradition 13:47 - Crystallising the energy body 14:46 - Success in Zen, Mahāmudrā, and Dzogchen practices 17:02 - Why talk about spiritual experiences 19:09 - Beyond nondual realisation 23:04 - Post-awakening stages 26:41 - Rewiring the energy body 31:03 - Out of body experiences and the body of light 35:41 - Summoning spirits 37:36 - Building the Saṃbhogakāya 38:40 - Improving the self 40:51 - Summarising the phases of Alex's practice 41:42 - Cultural resonances and adopting foreign traditions 45:36 - Inner alchemy 49:01 - The big danger of energy practices 52:11 - Power of Now 55:21 - Consciousness and energy 01:00:46 - Preparing for the afterlife 01:04:45 - The purpose of the 6 Yogas of Naropa 01:06:24 - The purpose of deity yoga 01:08:25 - Taoist inner alchemy 01:10:21 - Rainbow body and Dzogchen attainments 01:13:53 - What is the point of post-awakening practices? 01:30:42 - Spirituality vs self improvement 01:36:11 - Dangers of intense practices 01:40:43 - Wrong ideas about freedom from suffering 01:43:24 - Enlightened self interest 01:45:45 - Clarifying the term “ego” 01:51:17 - Cult leader manipulations 01:53:25 - Change of interest from spirituality to politics 01:54:57 - Political concern related to age or spiritual development? 01:56:29 - Perks of aging 01:58:42 - Finding your purpose 02:01:27 - Service as a spiritual path 02:02:27 - Who Alex admires 02:09:56 - Sequel plans … For more interviews, videos, and more visit: - www.guruviking.com Music ‘Deva Dasi' by Steve James

Today, Jesse goes solo for a candid episode unpacking the most common mistakes and misconceptions he sees in personal finance, from the temptation to “rip off the bandaid” with Roth conversions to the behavioral traps of availability bias and flawed math around investment returns. He breaks down a real listener case study to show why paying millions in unnecessary taxes up front rarely makes sense, and explains why geometric averages—not arithmetic ones—are the only way to understand long-term investment performance. Jesse also tackles the question of whether hiring a financial planner still matters in an age of index funds, outlining how professional guidance can protect investors from costly behavioral mistakes and add value through tax strategies, estate planning, and disciplined execution. He goes behind the curtain on why most planners don't offer hourly services, compares business models in the industry, and underscores that even high earners can't outgrow poor spending habits. Finally, Jesse calls out the dangers of internet financial advice and reminds listeners that true financial success comes from avoiding pitfalls, questioning easy narratives, and building steady, intentional plans for the long run. Key Takeaways: • Availability bias influences investors—we tend to make decisions based on the most recent or vivid information, not on comprehensive analysis. • Neighbors' choices aren't financial advice—copying friends or coworkers' strategies can be dangerous without context. • The arithmetic average is misleading in investing—it ignores compounding and makes returns look better than they are. Geometric averages (compound returns) are the correct measure—they show the real growth rate of investments over time. • Financial advisors provide behavioral coaching and planning, not just advice. • You can't out-compound bad spending—even large salaries can't overcome low savings rates. • Internet financial advice is the wild west—anonymous content often lacks accountability or accuracy. Key Timestamps: (00:00) – Common Financial Planning Mistakes (08:08) – Availability Bias (11:42) – Arithmetic vs. Geometric Averages in Investing (21:48) – The Value of Financial Planners Beyond Index Funds (35:44) – Understanding RIA Regulations and Hourly Planning (41:22) – The Benefits of AUM Fee Model (46:45) – The Importance of Spending Plans (58:38) – Navigating Internet Financial Advice Key Topics Discussed: The Best Interest, Jesse Cramer, Wealth Management Rochester NY, Financial Planning for Families, Fiduciary Financial Advisor, Comprehensive Financial Planning, Retirement Planning Advice, Tax-Efficient Investing, Risk Management for Investors, Generational Wealth Transfer Planning, Financial Strategies for High Earners, Personal Finance for Entrepreneurs, Behavioral Finance Insights, Asset Allocation Strategies, Advanced Estate Planning Techniques Mentions: The Dalbar Study: https://www.evaluatorfunds.com/jp-morgan-the-case-for-always-staying-invested/ More of The Best Interest: Check out the Best Interest Blog at https://bestinterest.blog/ Contact me at jesse@bestinterest.blog Consider working with me at https://bestinterest.blog/work/ The Best Interest Podcast is a personal podcast meant for education and entertainment. It should not be taken as financial advice, and is not prescriptive of your financial situation.

Do you believe your business has an inherent value? Dan Sullivan and Jeffrey Madoff dismantle this common illusion to reveal the true nature of value. Learn why it's determined solely by a buyer's motivation and how building a Self-Managing Company® is your ultimate path to greater freedom, growth, and engagement. Show Notes: The concept of inherent value is a subjective belief, not an economic fact. True value is determined solely by the agreement between a buyer and a seller at a specific moment. A buyer's perception of value is entirely dependent on their unique motivations and goals. The ultimate purpose of your entrepreneurial journey is to achieve greater freedom of time, money, relationship, and purpose. Selling your company often means sacrificing your freedom and becoming an employee. Growing your business can create its own kind of prison, depending on how you build it and what you do. Your personal engagement in the creative process is the core fuel for a fulfilling entrepreneurial life. Money is not the game itself but merely the scoreboard tracking your progress and freedom. Building a Self-Managing Company is the strategic vehicle that grants you the freedom to focus on what you love. Life and business are a constant negotiation requiring you to understand the other party's perspective above all else. Resources: What Is A Self-Managing Company®? The 4 Freedoms That Motivate Successful Entrepreneurs Casting Not Hiring by Dan Sullivan and Jeffrey Madoff “Scary Times” Success Manual: How To Be A Leader When Times Get Tough Never Split The Difference by Chris Voss Freakonomics by Stephen J. Dubner and Steven Levitt Judgment Under Uncertainty: Heuristics and Biases by Daniel Kahneman, Paul Slovic, and Amos Tversky The 4 C's Formula by Dan Sullivan

The crazy true story of how 8 healthy people got admitted to psych hospitals with false diagnoses! Want to test yourself on how well you can recognize fallacies in real life? Take the Meme Fallacy Quiz! www.filteritthroughabraincell.com/quiz Learn more about Crazy Thinkers membership where you can practice critical thinking using real-life memes, articles & headlines: www.filteritthroughabraincell.com/crazy Here's how you can purchase the Logical Fallacies ebook: https://www.filteritthroughabraincell.com/offers/z6xbAcB2 Send me any questions, comments or even the fallacies you're seeing around you! think@filteritthroughabraincell.com Or, tag me on Instagram: @filteritthroughabraincell Sign up on my email list at: www.filteritthroughabraincell.com/contact Learn more about Classical Conversations: www.classicalconversations.com/filterit Thank you to our sponsor, CTC Math! Website: https://www.ctcmath.com/?tr_id=brain Homeschool page: https://www.ctcmath.com/how-it-works/home-school?tr_id=brain Free trail: https://www.ctcmath.com/trial?tr_id=brain Special offer! Get 1/2-off discounts plus bonus 6-months free! Critical Thinking for Teens Logical Fallacies for Teens Cognitive Biases for Teens Homeschool Logic Critical thinking for Middle schoolers

Your brain is running the show… but it's using outdated software. In this episode, I break down 10 cognitive biases — the mental shortcuts that once kept us safe but now quietly sabotage your choices in relationships, careers, and everyday life.In this episode:10 mental biases quietly sabotaging your choicesThe traps that keep you stuck in jobs, relationships & indecisionNerd Alert: How your salience network bends realityTools to catch each bias in real time & rewire your thinking____ANNOUNCEMENTS My Monthly Membership, ⁠⁠⁠The Inner Work Room⁠⁠⁠, is officially live! Join now to level up your mindset, life, and relationships with weekly tools, tough-love coaching, and science-backed strategies designed to help you become the best version of yourself.___Be sure to follow my Instagram @briannadiorio for all the Brianna Approved educational content! Check out my ⁠Amazon Storefront ⁠for all of my favorite Brianna Approved things!You can visit my website ⁠www.briannadiorio.com to learn more.Production Manager and Graphics @kylediorio

Who was Ramses II, and why does his reign still fascinate historians today? In this deep dive, we explore the world of ancient Egypt during Ramses' time — from the topography of his empire to the cultural, political, and technological shifts of the Mediterranean. We'll uncover the role of the Phoenicians, the collapse of the Bronze Age, the winners and losers of this turbulent period, the great temples and carvings of Ramses II, the perception of pyramids in his era, and whether biblical accounts align with history. We'll also examine Egypt's economic systems, ancient technology, and the everyday lives of its people — from letters and myths to famine, cannibalism, and climate change.WELCOME TO CAMP!

Ben Criddle talks BYU sports every weekday from 2 to 6 pm.Today's Co-Hosts: Ben Criddle (@criddlebenjamin)Subscribe to the Cougar Sports with Ben Criddle podcast:Apple Podcasts: https://itunes.apple.com/us/podcast/cougar-sports-with-ben-criddle/id99676

Daniel Kahneman won the Nobel Prize for proving we're not as rational as we think. In this timeless conversation we discuss how to think clearly in a world full of noise, the invisible forces that cloud our judgement, and why more information doesn't equal better thinking. Kahneman also reveals the mental model he discovered at 22 that still guides elite teams today.  Approximate timestamps:  (00:36) – Episode Introduction   (05:37) – Daniel Kahneman on Childhood and Early Psychology   (12:44) – Influences and Career Path   (15:32) – Working with Amos Tversky   (17:20) – Happiness vs. Life Satisfaction   (21:04) – Changing Behavior: Myths and Realities   (24:38) – Psychological Forces Behind Behavior   (28:02) – Understanding Motivation and Situational Forces   (30:45) – Situational Awareness and Clear Thinking   (34:11) – Intuition, Judgment, and Algorithms   (39:33) – Improving Decision-Making with Structured Processes   (43:26) – Organizational Thinking and Dissent   (46:00) – Judgment Quality and Biases   (50:12) – Teaching Negotiation Through Understanding   (52:14) – Procedures That Elevate Group Thinking   (55:30) – Recording and Reviewing Decisions   (57:58) – The Concept of Noise in Decision-Making   (01:01:14) – Reducing Noise and Improving Accuracy   (01:04:09) – Replication Crisis and Changing Beliefs   (01:08:21) – Why Psychologists Overestimate Their Hypotheses   (01:12:20) – Closing Thoughts and Gratitude Thanks to MINT MOBILE for sponsoring this episode: Get this new customer offer and your 3-month Unlimited wireless plan for just 15 bucks a month at MINTMOBILE.com/KNOWLEDGEPROJECT. Newsletter - The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it's completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠ Upgrade — If you want to hear my thoughts and reflections at the end of the episode, join our membership: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/membership⁠⁠⁠⁠⁠⁠⁠⁠ and get your own private feed. Watch on YouTube: ⁠⁠⁠⁠⁠⁠@tkppodcast Photograph: Richard Saker/The Guardian Learn more about your ad choices. Visit megaphone.fm/adchoices