Podcasts about Generalization

We're told that AI progress is slowing down, that pre-training has hit a wall, that scaling laws are running out of road. Yet we're releasing this episode in the middle of a wild couple of weeks that saw GPT-5.1, GPT-5.1 Codex Max, fresh reasoning modes and long-running agents ship from OpenAI — on top of a flood of new frontier models elsewhere. To make sense of what's actually happening at the edge of the field, I sat down with someone who has literally helped define both of the major AI paradigms of our time.Łukasz Kaiser is one of the co-authors of “Attention Is All You Need,” the paper that introduced the Transformer architecture behind modern LLMs, and is now a leading research scientist at OpenAI working on reasoning models like those behind GPT-5.1. In this conversation, he explains why AI progress still looks like a smooth exponential curve from inside the labs, why pre-training is very much alive even as reinforcement-learning-based reasoning models take over the spotlight, how chain-of-thought actually works under the hood, and what it really means to “train the thinking process” with RL on verifiable domains like math, code and science. We talk about the messy reality of low-hanging fruit in engineering and data, the economics of GPUs and distillation, interpretability work on circuits and sparsity, and why the best frontier models can still be stumped by a logic puzzle from his five-year-old's math book.We also go deep into Łukasz's personal journey — from logic and games in Poland and France, to Ray Kurzweil's team, Google Brain and the inside story of the Transformer, to joining OpenAI and helping drive the shift from chatbots to genuine reasoning engines. Along the way we cover GPT-4 → GPT-5 → GPT-5.1, post-training and tone, GPT-5.1 Codex Max and long-running coding agents with compaction, alternative architectures beyond Transformers, whether foundation models will “eat” most agents and applications, what the translation industry can teach us about trust and human-in-the-loop, and why he thinks generalization, multimodal reasoning and robots in the home are where some of the most interesting challenges still lie.OpenAIWebsite - https://openai.comX/Twitter - https://x.com/OpenAIŁukasz KaiserLinkedIn - https://www.linkedin.com/in/lukaszkaiser/X/Twitter - https://x.com/lukaszkaiserFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)Blog - https://mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) – Cold open and intro(01:29) – “AI slowdown” vs a wild week of new frontier models(08:03) – Low-hanging fruit: infra, RL training and better data(11:39) – What is a reasoning model, in plain language?(17:02) – Chain-of-thought and training the thinking process with RL(21:39) – Łukasz's path: from logic and France to Google and Kurzweil(24:20) – Inside the Transformer story and what “attention” really means(28:42) – From Google Brain to OpenAI: culture, scale and GPUs(32:49) – What's next for pre-training, GPUs and distillation(37:29) – Can we still understand these models? Circuits, sparsity and black boxes(39:42) – GPT-4 → GPT-5 → GPT-5.1: what actually changed(42:40) – Post-training, safety and teaching GPT-5.1 different tones(46:16) – How long should GPT-5.1 think? Reasoning tokens and jagged abilities(47:43) – The five-year-old's dot puzzle that still breaks frontier models(52:22) – Generalization, child-like learning and whether reasoning is enough(53:48) – Beyond Transformers: ARC, LeCun's ideas and multimodal bottlenecks(56:10) – GPT-5.1 Codex Max, long-running agents and compaction(1:00:06) – Will foundation models eat most apps? The translation analogy and trust(1:02:34) – What still needs to be solved, and where AI might go next

Dylan's thoughts on the new Wicked: For Good. We discuss the tragedies that happened while filming the original Wizard Of Oz movie. We make some gender generalizations. Are woman able to see HD or do they just not care? Are woman less likely to talk to you while they're in the bathroom? Another major concert announce! The warning labels that scare us the most. Pepper has a question about butter. Can it be classified as just a spread?

11-21-25 - Holmberg Is Finding That Being His Own Booking Agent Is Hard - Hard Reality Of Car Repair Has Struck John Again As He Thought He Had A Win In Replacing His Wipers - John Makes A Generalization About Car Guys And Nails ItSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

11-21-25 - Holmberg Is Finding That Being His Own Booking Agent Is Hard - Hard Reality Of Car Repair Has Struck John Again As He Thought He Had A Win In Replacing His Wipers - John Makes A Generalization About Car Guys And Nails ItSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this insightful conclusion to our two-part conversation, Ellen Yoakum—Certified Separation Anxiety Pro Behavior Consultant, KPA CTP, and Behavior Consultant with Pet Harmony—returns to explore how we can thoughtfully apply the learning principles we use with our animal learners to ourselves and the humans we work with. Building on the foundations of Part One, Ellen and Ryan dive into the complexities of generalization—how humans, much like our non-human learners, can struggle to transfer skills across contexts. From communication and empathy to client coaching and professional growth, Ellen offers compassionate strategies for building fluency, resilience, and sustainability in both behavior change and life. Together, they explore: ✅ Translating behavioral principles from dogs to humans—and ourselves ✅ Creating safe learning spaces for clients, colleagues, and trainers alike ✅ How understanding "pain points" can reshape client plans and improve outcomes ✅ Teaching for generalization without overwhelming learners ✅ Rethinking perfection and building skills for recovery when "life gets lifey" Ellen's reflections on generalization, empathy, and sustainable growth remind us that training isn't just about the animals—it's about the entire learning ecosystem. Her insights leave us inspired to meet our learners where they are, celebrate progress over perfection, and approach every interaction—human or non-human—with curiosity and care. Links Enrichment for the Real World Petharmonytraining.com Pet Harmony on Instagram and Facebook Pet Harmony Pro on Instagram and TikTok

The One-Orc Conclusion: Judging a Village by One Bad Apple!

FSUの吉良信一郎さん(@ShinichiroKira)ゲスト回。UW Shadlen研への留学、サル電気生理からマウス(HMS Harvey研)へ、新たなラボでの研究の方向性など (10/5 収録)Show Notes (番組HP):Florida State University吉良ラボHPFlorida State University (FSU)で新たに研究室を立ち上げました。脳が過去の経験をもとに、新しい環境でどのように適切な意思決定を行うか (Generalization) にフォーカスして研究を進めていく予定です。熱意あるポスドク・大学院生を募集しています。ご興味のある方は、ぜひお気軽にご連絡ください！NRジャーナルクラブ回Lake ConferencesFlorida Panhandleタラハシー市シアトルのあるワシントン州の州都はオリンピア。タコマは軍基地がある。Florida State University フロリダ州立大学服部さん (Scripps, The University of Florida フロリダ大学)Seminoles (FSU) vs Gators (UF)奥山 輝大さん (東大 定量研)北沢 茂先生 (現・阪大)宇賀 貴紀先生(現・山梨大)三谷 明範さん(Komiyama研PhD->Google->-Artera>Apple)の宇賀研での仕事Saltzman/Newsome1992 最近の2光子Stim論文とかでこれを引いてないのはモグリだと思ってる(萩)Shadlen Newsome 1998 2001 一番刺さったShadlen et al 1996 (吉良)Goldman-Rakicのobituary in Nature. Funahashi/Goldman-Rakic1989が特によい(萩) Logothetis いまは中国にいるチュービンゲンのゴタゴタ Natureの記事、Scienceの記事Richard AxelDoris Tsaoのマウス、Tree shrewの仕事Davide ZoccolanJim DicarloMichael ShadlenPaul GlimcherRichard AndersenMichel GoldbergJacqueline GottliebBill NewsomeMante, Sussilo, Shenoy, NewsomeDaeyeol Lee このGameTheory/Social Decision-Makingの総説の印象が強い(萩)Xiao Jing WangそういえばLIPあんまり重要でなさそうというAlexHuk論文を議論してもよかったなと思いました。その後の展開をちゃんと追ってないので、LIP詳しい人のコメントを聞いてみたかったのでもしよかったらここで。(萩)Zhou & Freedman は抑制したLIPの応答視覚領域(Response Field)の中に視覚刺激(ランダムドット)がある場合とターゲットがある場合を比較して、前者の方が後者より正答率が顕著に低下することを示しました。LIP抑制ではないですが、Fetsch et al はMTが抑制されても残存領域の代替により、意思決定機能は速やかに回復することを示しました。同様の現象は齧歯類でも報告があります(Kawai et al, Mizes et al, Hong et al, Quintana et al)。私自身も実験を通じて経験しており、今後の研究テーマ(脳の機能回復メカニズム)として掲げています。(吉良)Eb Fetz (UW)Roozbeh Kiani (NYU)Tim Hanks (UC Davis)Anne Churchland (UCLA)Mehrdad Jazayeri (MIT)Josh Gold (U Penn)Tianming Yang (ION 中国科学院 )Probabilistic reasoning by neuronsNeural Implementation of Wald's Sequential Probability Ratioランダムドットタスク今年出したヒトのPsychophysics論文NIH RexPsychoPyリアルタイムOSMixed Selectivity 論文Tirin MooreFEF:Frontal eye field,眼球運動に対応する運動野だがselective attentionもやっているNHP NeuropixelSteppingとRampingの議論Neuropixel記録論文: Drift-Diffusion Modelの実証Elizabeth BaffaloMemory-Guided Saccade TaskStefano FusiRigotti et al (Mixed selectivity)Barnerdi et al (CCGP: Cross Condition Generalization Performance)Schemaを使ったCategorizationの簡潔な総説を五十嵐さんが書いているSaltzman & FusiCourellis et al (ヒトの神経活動をCCGPで解析)Attila Losonczy  (現在はUniversity of Texas South Western)Larry AbbottKen MillerLiam PaninskiAllen D3Laura DriscollNathaniel DawPeter DayanThalamusのU-19 GrantShaul Druckmann大久保 達夫さん NR出演回加藤 郁佳さん NR出演回Chris HarveyHarveyTank 2012 2012年3月なのでまさにSalk滞在中に出版されて読んでた(萩)HattoriさんのRSCの論文 (Hattori 2019)JeremiahのmPFCの論文 (Bari 2019)Default mode networkDelay (non) match to sample taskShadlenのOdorの論文JerryChenのS1/S2の論文, S1しか見てない論文Voitov & Mrsic-Flogel論文 ちなみに前述のLosonczy研にいてNYに残った知り合いというのはこのIvan(萩)

What to listen for:“Search and rescue work is the volunteer profession that you pay to do and is one of the most stressful things you can ever do, because somebody else's life could depend on what you're doing.”In part 2 of their conversation with Steve White, Robin Greubel and Stacy Barnett ask about the development of Hydrated Intensive Tracking (HIT), which evolved from experiments with scent-in-a-bottle methods.Steve's breakthrough came at a U.S. Police Canine Association seminar when handlers lacked marker training skills. By hybridizing traditional food-in-footstep methods with spray lines, Steve discovered that dogs crossing pavement with spray present kept their heads lower even after the spray evaporated. It's classical conditioning at work!Steve's training philosophy emphasizes creating calm, methodical working dogs rather than frantic high-energy animals. He seeks dogs with "conditioned emotional responses" of focused steadiness. He believes that clearheaded dogs perform better in difficult urban environments. This approach influenced his article training, where teaching dogs to find tiny objects like washers creates precision that makes finding larger targets effortless.Robin and Stacy zero in on the importance of generalization and stimulus control. Dogs absolutely distinguish training from operations, requiring extensive work in operational environments. Steve advocates for the "Green Eggs and Ham" principle. That is, can your dog perform here, there, everywhere? Handlers often mistake lack of stimulus control for lack of behavior knowledge.His current work with the United States Police Canine Association's Best Practices Working Group aims to preserve police canine programs by shifting focus toward the irreplaceable value of dogs' olfactory capabilities while promoting cooperation-based control methods over force-dependent approaches.Key Topics:Search Dogs vs. Examination Dogs (01:40)Evolution of Hydrated Intensive Tracking (12:09)Classical Conditioning and Surface Work (17:47)Generalization and Stimulus Control (26:48)Training for Operational Environments (36:37)Takeaways (45:23)Resources:You can find Steve White:Proactive K9 WebsiteProactive K9 Website FormsUSPCA YouTube Channel: Where you can find Steve's three-part series on odor/scent fundamentals, a 1000-hour eyes presentation where he talks about the eight indicators of dogs being on odor, and Robin's presentations about the recipe for building a great training session.We want to hear from you:Check out the K9 Detection Collaborative FB page and comment on the episode post!K9Sensus Detection Dog Trainer AcademyK9Sensus Foundation can be found on Facebook and Instagram. We have a Trainer's Group on Facebook!Scentsabilities Nosework is also on Facebook. Here is a Facebook group you should join!Crystal Wing (CB K9) can be found here!You can follow us for notifications of upcoming episodes, find us at k9detectioncollaborative.com

When we say “natural,” it's easy to imagine free play and child-led sessions where the therapist simply follows along. But natural doesn't mean unplanned. Behind every playful moment is an opportunity for intentional teaching, and the best play-based sessions are those that blend spontaneity with strategy.In this conversation, we talk about how to plan for play in a way that still feels natural and fun. We compare it to hosting a birthday party—you wouldn't invite a group of kids and hope for the best without games or structure! The same goes for ABA sessions. Following a child's lead doesn't mean letting them bounce from toy to toy. It means embedding purposeful teaching moments within what they love most.We share practical ways to create this balance, from using assessments like the Early Start Denver Model to identify meaningful goals to organizing the environment so motivation and learning opportunities flow naturally. You'll hear how we think through contriving the environment, following motivation rather than chaos, and using every playful moment with purpose.What's Inside:How to combine natural play with intentional teachingUsing assessments to guide play-based goalsTips for setting up the environment to boost engagement and learningMentioned in This Episode:Episode 118: Generalization and Maintenance of Skills in ABAHowToABA.com/joinHow to ABA on YouTubeFind us on FacebookFollow us on Instagram 

Neoborn Caveman reflects on history's lessons to prevent civil war, blending satire with calls for humanity's preservation amid rising divisions. NC recounts Balkan atrocities under the Ustashas, from Prebilovci school massacres to Jasenovac horrors, highlighting generalizations' dangers and media distortions that fuel enmity. He critiques the Cloward-Piven strategy's overload tactics in modern immigration and crises, Ottoman legacies in Yugoslavia's fractures, Sunni-Shia Muslim divides and how they affect Western countries through immigration, and First Nations' overlooked slave-owning past, urging unity over rage to counter globalist techno-feudal cages.Music guests: InoxidablesKey TakeawaysHistory reveals patterns to avoid repeating civil wars and massacres.Generalizations breed hatred and overlook good people in every group.Media portrays events to manipulate perceptions and sow division.Governments and extremists exploit crises for control and collapse.Unity across differences builds stronger communities than walls or fences.Religious and ethnic labels mask shared humanity and common enemies.Atrocities like in Jasenovac show evil's scale when unchecked by reason.Immigration without checks risks importing unresolved conflicts.Past empires' conquests echo in today's border and identity struggles.Preserving stories counters falsified narratives and eternal enmities.Techno-feudalism threatens sovereignty more than open dialogue.Pro-humanity choices prioritize wholeness over emotional rage.Sound Bites"Never generalize. Just because a cat scratched you, it doesn't mean cats are evil.""Let's learn more about history to understand our chances in the future so we can have a better choice in the present.""If you falsify history you will create an everlasting enemy.""Civil war must be avoided at all cost.""Sharing the same land should be enough. We should respect and enjoy our uniqueness and the difference in each other.""Do you want this next level communist, fascist, technologist dystopia or shall we learn from history and avoid sparing children messaging others?""You are amazing. You are special. You are one of a kind. And you are worthy.""We should be one people. Not one people in division but one people united for the betterment of ourselves and humanity."Gather for unfiltered rambles at patreon.com/theneoborncavemanshow—free join, chats, lives.Keywords: history, civil war, generalizations, Ustashas, Balkans, Yugoslavia, Ottoman Empire, Sunnis, Shias, immigration, globalists, humanity, unity, genocide, Jasenovac, Pavelić, media manipulation, Trump, Cloward-Piven, First NationsHumanity centered satirical takes on the world & news + music - with a marble mouthed host.Free speech marinated in comedy.Supporting Purple Rabbits. Hosted on Acast. See acast.com/privacy for more information.

In today's episode, Rafael Cortez is joined by Amanda Webster, the Chief Revenue Officer at Accruity, a leading financial advisory firm. With over two decades of experience, Amanda shares her insights on how real estate investors and professionals can optimize their financial strategies to save money, grow their revenue, and navigate the complex world of taxes.Amanda Webster is an expert in financial strategy for real estate professionals, including investors, construction companies, brokerages, and property management firms. As a military spouse and mother of five, she brings the same resilience, dedication, and strategic thinking to her work as she does to her family life.We cover:1️⃣ Why your CPA might not be the right fit for your real estate business (and how to find the right one)2️⃣ How to legally offset tax liabilities and keep more of your profits

Lindsay Watson, PT, CEO, and Co-Founder of Augment Therapy, is on a mission to blend augmented reality (AR) and virtual care to transform therapy. Augment Therapy offers interactive AR rehabilitation exercises and fun wellness games designed to encourage movement and improve outcomes at home and in person. With their ARWell PRO app, therapists can use the software during sessions and give patients free access at home, all while tracking progress through a customized, gamified platform.While Augment Therapy is currently used primarily by OTs and PTs, Lindsay shares exciting plans to expand into speech therapy. We also discuss the benefits of telehealth when applied intentionally and how leveraging technology can enhance repetition, generalization, and engagement—turning a tool that's often seen as a negative into a powerful ally for therapy success.#autism #speechtherapy What's Inside:What is Augment Therapy?How can Augmented Reality impact therapy.Blending expertise and virtual care.Mentioned In This Episode:Augment Therapy Join the aba speech connection  ABA Speech: HomeThe BriefAll your family's pressing concerns and questions, answered in one place. Mike...Listen on: Apple Podcasts Spotify

Professor Andrew Wilson from NYU explains why many common-sense ideas in artificial intelligence might be wrong. For decades, the rule of thumb in machine learning has been to fear complexity. The thinking goes: if your model has too many parameters (is "too complex") for the amount of data you have, it will "overfit" by essentially memorizing the data instead of learning the underlying patterns. This leads to poor performance on new, unseen data. This is known as the classic "bias-variance trade-off" i.e. a balancing act between a model that's too simple and one that's too complex.**SPONSOR MESSAGES**—Tufa AI Labs is an AI research lab based in Zurich. **They are hiring ML research engineers!** This is a once in a lifetime opportunity to work with one of the best labs in EuropeContact Benjamin Crouzier - https://tufalabs.ai/ —Take the Prolific human data survey - https://www.prolific.com/humandatasurvey?utm_source=mlst and be the first to see the results and benchmark their practices against the wider community!—cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economyOct SF conference - https://dagihouse.com/?utm_source=mlst - Joscha Bach keynoting(!) + OAI, Anthropic, NVDA,++Hiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlstSubmit investment deck: https://cyber.fund/contact?utm_source=mlst— Description Continued:Professor Wilson challenges this fundamental belief (fearing complexity). He makes a few surprising points:**Bigger Can Be Better**: massive models don't just get more flexible; they also develop a stronger "simplicity bias". So, if your model is overfitting, the solution might paradoxically be to make it even bigger.**The "Bias-Variance Trade-off" is a Misnomer**: Wilson claims you don't actually have to trade one for the other. You can have a model that is incredibly expressive and flexible while also being strongly biased toward simple solutions. He points to the "double descent" phenomenon, where performance first gets worse as models get more complex, but then surprisingly starts getting better again.**Honest Beliefs and Bayesian Thinking**: His core philosophy is that we should build models that honestly represent our beliefs about the world. We believe the world is complex, so our models should be expressive. But we also believe in Occam's razor—that the simplest explanation is often the best. He champions Bayesian methods, which naturally balance these two ideas through a process called marginalization, which he describes as an automatic Occam's razor.TOC:[00:00:00] Introduction and Thesis[00:04:19] Challenging Conventional Wisdom[00:11:17] The Philosophy of a Scientist-Engineer[00:16:47] Expressiveness, Overfitting, and Bias[00:28:15] Understanding, Compression, and Kolmogorov Complexity[01:05:06] The Surprising Power of Generalization[01:13:21] The Elegance of Bayesian Inference[01:33:02] The Geometry of Learning[01:46:28] Practical Advice and The Future of AIProf. Andrew Gordon Wilson:https://x.com/andrewgwilshttps://cims.nyu.edu/~andrewgw/https://scholar.google.com/citations?user=twWX2LIAAAAJ&hl=en https://www.youtube.com/watch?v=Aja0kZeWRy4 https://www.youtube.com/watch?v=HEp4TOrkwV4 TRANSCRIPT:https://app.rescript.info/public/share/H4Io1Y7Rr54MM05FuZgAv4yphoukCfkqokyzSYJwCK8Hosts:Dr. Tim Scarfe / Dr. Keith Duggar (MIT Ph.D)REFS:Deep Learning is Not So Mysterious or Different [Andrew Gordon Wilson]https://arxiv.org/abs/2503.02113Bayesian Deep Learning and a Probabilistic Perspective of Generalization [Andrew Gordon Wilson, Pavel Izmailov]https://arxiv.org/abs/2002.08791Compute-Optimal LLMs Provably Generalize Better With Scale [Marc Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, J. Zico Kolter, Andrew Gordon Wilson]https://arxiv.org/abs/2504.15208

If it's not generalizing, it's not functional. In this episode, we break down what true mastery looks like, how to plan for maintenance from the start, and practical ways to “teach loosely” so skills stick across people, places, and materials.

Theories of Everything with Curt Jaimungal ✓ Claim : Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe MIT physicist Max Tegmark argues AI now belongs inside physics—and that consciousness will be next. He separates intelligence (goal-achieving behavior) from consciousness (subjective experience), sketches falsifiable experiments using brain-reading tech and rigorous theories (e.g., IIT/φ), and shows how ideas like Hopfield energy landscapes make memory “feel” like physics. We get into mechanistic interpretability (sparse autoencoders), number representations that snap into clean geometry, why RLHF mostly aligns behavior (not goals), and the stakes as AI progress accelerates from “underhyped” to civilization-shaping. It's a masterclass on where mind, math, and machines collide. Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Timestamps: - 00:00 - Why AI is the New Frontier of Physics - 09:38 - Is Consciousness Just a Byproduct of Intelligence? - 16:43 - A Falsifiable Theory of Consciousness? (The MEG Helmet Experiment) - 27:34 - Beyond Neural Correlates: A New Paradigm for Scientific Inquiry - 38:40 - Humanity: The Masters of Underestimation (Fermi's AI Analogy) - 51:27 - What Are an AI's True Goals? (The Serial Killer Problem) - 1:03:42 - Fermat's Principle, Entropy, and the Physics of Goals - 1:15:52 - Eureka Moment: When an AI Discovered Geometry on Its Own - 1:30:01 - Refuting the "AI Doomers": We Have More Agency Than We Think Links mentioned: - Max's Papers: https://scholar.google.com/citations?user=eBXEZxgAAAAJ&hl=en - Language Models Use Trigonometry to Do Addition [Paper]: https://arxiv.org/abs/2502.00873 - Generalization from Starvation [Paper]: https://arxiv.org/abs/2410.08255 - Geoffrey Hinton [TOE]: https://youtu.be/b_DUft-BdIE - Michael Levin [TOE]: https://youtu.be/c8iFtaltX-s - Iceberg of Consciousness [TOE]: https://youtu.be/65yjqIDghEk - Improved Measures of Integrated Information [Paper]: https://arxiv.org/abs/1601.02626 - David Kaiser [TOE]: https://youtu.be/_yebLXsIdwo - Iain McGilchrist [TOE]: https://youtu.be/Q9sBKCd2HD0 - Elan Barenholtz & William Hahn [TOE]: https://youtu.be/A36OumnSrWY - Daniel Schmachtenberger [TOE]: https://youtu.be/g7WtcTATa2U - Ted Jacobson [TOE]: https://youtu.be/3mhctWlXyV8 - The “All Possible Paths” Myth [TOE]: https://youtu.be/XcY3ZtgYis0 SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs Guests do not pay to appear. Theories of Everything receives revenue solely from viewer donations, platform ads, and clearly labelled sponsors; no guest or associated entity has ever given compensation, directly or through intermediaries. #science Learn more about your ad choices. Visit megaphone.fm/adchoices

Theories of Everything with Curt Jaimungal ✓ Claim Key Takeaways  Conditions like depression, bipolar disorder, and schizophrenia may be driven in part by metabolic dysfunction in the brainNeuroinflammation is real, but fasting and a ketogenic diet can help The benefits of supplementing exogenous ketones:(1) Quick energy – they give your body a fast fuel source, especially for the brain and muscles(2)  Support ketosis – they can help raise blood ketone levels even if you're not fully on a strict keto dietBenefits of fasting: helps to augment the control of the immune system, relaxes the gut and enables the body's repair processes to occur, reduces the body's general state of inflammation There is a ketone-synergistic effect when delivering caffeine with MCT; it stimulates lipolysis and also fat oxidation in the liver The short-list of essential supplements:CoQ10, creatine, ketones, vitamin D, and melatoninThe benefits of metformin and GLP-1 drugs may arise from their influence on metabolic functionA low-carb Mediterranean-style diet is conducive to upgrading your metabolic machinery while keeping biomarkers in checkDiet: No sugar, no starch, fibrous vegetables, aim for 25% of carbohydrates consumed should be from fiber, high-protein + low glycemic breakfast and lunch, then a pound of protein for dinner with some fibrous vegetables The protocol and surprising benefits of ‘Sardine Fasting': Eat 1-2 cans of sardines per day for one week; can be repeated monthly or as needed. May need to supplement with vitamin C and magnesium  Why it helps: Provides essential nutrients and omega-3s while keeping calories/protein low enough to activate autophagy, support immunity, fight brain fog, and promote overall metabolic health Movement is critical for optimal metabolic health; get outside and walk first thing in the morning, and try to move after dinner for the sake of glucose metabolism Read the full notes @ podcastnotes.orgAs a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe MIT physicist Max Tegmark argues AI now belongs inside physics—and that consciousness will be next. He separates intelligence (goal-achieving behavior) from consciousness (subjective experience), sketches falsifiable experiments using brain-reading tech and rigorous theories (e.g., IIT/φ), and shows how ideas like Hopfield energy landscapes make memory “feel” like physics. We get into mechanistic interpretability (sparse autoencoders), number representations that snap into clean geometry, why RLHF mostly aligns behavior (not goals), and the stakes as AI progress accelerates from “underhyped” to civilization-shaping. It's a masterclass on where mind, math, and machines collide. Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Timestamps: - 00:00 - Why AI is the New Frontier of Physics - 09:38 - Is Consciousness Just a Byproduct of Intelligence? - 16:43 - A Falsifiable Theory of Consciousness? (The MEG Helmet Experiment) - 27:34 - Beyond Neural Correlates: A New Paradigm for Scientific Inquiry - 38:40 - Humanity: The Masters of Underestimation (Fermi's AI Analogy) - 51:27 - What Are an AI's True Goals? (The Serial Killer Problem) - 1:03:42 - Fermat's Principle, Entropy, and the Physics of Goals - 1:15:52 - Eureka Moment: When an AI Discovered Geometry on Its Own - 1:30:01 - Refuting the "AI Doomers": We Have More Agency Than We Think Links mentioned: - Max's Papers: https://scholar.google.com/citations?user=eBXEZxgAAAAJ&hl=en - Language Models Use Trigonometry to Do Addition [Paper]: https://arxiv.org/abs/2502.00873 - Generalization from Starvation [Paper]: https://arxiv.org/abs/2410.08255 - Geoffrey Hinton [TOE]: https://youtu.be/b_DUft-BdIE - Michael Levin [TOE]: https://youtu.be/c8iFtaltX-s - Iceberg of Consciousness [TOE]: https://youtu.be/65yjqIDghEk - Improved Measures of Integrated Information [Paper]: https://arxiv.org/abs/1601.02626 - David Kaiser [TOE]: https://youtu.be/_yebLXsIdwo - Iain McGilchrist [TOE]: https://youtu.be/Q9sBKCd2HD0 - Elan Barenholtz & William Hahn [TOE]: https://youtu.be/A36OumnSrWY - Daniel Schmachtenberger [TOE]: https://youtu.be/g7WtcTATa2U - Ted Jacobson [TOE]: https://youtu.be/3mhctWlXyV8 - The “All Possible Paths” Myth [TOE]: https://youtu.be/XcY3ZtgYis0 SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs Guests do not pay to appear. Theories of Everything receives revenue solely from viewer donations, platform ads, and clearly labelled sponsors; no guest or associated entity has ever given compensation, directly or through intermediaries. #science Learn more about your ad choices. Visit megaphone.fm/adchoices

As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe MIT physicist Max Tegmark argues AI now belongs inside physics—and that consciousness will be next. He separates intelligence (goal-achieving behavior) from consciousness (subjective experience), sketches falsifiable experiments using brain-reading tech and rigorous theories (e.g., IIT/φ), and shows how ideas like Hopfield energy landscapes make memory “feel” like physics. We get into mechanistic interpretability (sparse autoencoders), number representations that snap into clean geometry, why RLHF mostly aligns behavior (not goals), and the stakes as AI progress accelerates from “underhyped” to civilization-shaping. It's a masterclass on where mind, math, and machines collide. Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Timestamps: - 00:00 - Why AI is the New Frontier of Physics - 09:38 - Is Consciousness Just a Byproduct of Intelligence? - 16:43 - A Falsifiable Theory of Consciousness? (The MEG Helmet Experiment) - 27:34 - Beyond Neural Correlates: A New Paradigm for Scientific Inquiry - 38:40 - Humanity: The Masters of Underestimation (Fermi's AI Analogy) - 51:27 - What Are an AI's True Goals? (The Serial Killer Problem) - 1:03:42 - Fermat's Principle, Entropy, and the Physics of Goals - 1:15:52 - Eureka Moment: When an AI Discovered Geometry on Its Own - 1:30:01 - Refuting the "AI Doomers": We Have More Agency Than We Think Links mentioned: - Max's Papers: https://scholar.google.com/citations?user=eBXEZxgAAAAJ&hl=en - Language Models Use Trigonometry to Do Addition [Paper]: https://arxiv.org/abs/2502.00873 - Generalization from Starvation [Paper]: https://arxiv.org/abs/2410.08255 - Geoffrey Hinton [TOE]: https://youtu.be/b_DUft-BdIE - Michael Levin [TOE]: https://youtu.be/c8iFtaltX-s - Iceberg of Consciousness [TOE]: https://youtu.be/65yjqIDghEk - Improved Measures of Integrated Information [Paper]: https://arxiv.org/abs/1601.02626 - David Kaiser [TOE]: https://youtu.be/_yebLXsIdwo - Iain McGilchrist [TOE]: https://youtu.be/Q9sBKCd2HD0 - Elan Barenholtz & William Hahn [TOE]: https://youtu.be/A36OumnSrWY - Daniel Schmachtenberger [TOE]: https://youtu.be/g7WtcTATa2U - Ted Jacobson [TOE]: https://youtu.be/3mhctWlXyV8 - The “All Possible Paths” Myth [TOE]: https://youtu.be/XcY3ZtgYis0 SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs Guests do not pay to appear. Theories of Everything receives revenue solely from viewer donations, platform ads, and clearly labelled sponsors; no guest or associated entity has ever given compensation, directly or through intermediaries. #science Learn more about your ad choices. Visit megaphone.fm/adchoices

TsviBT Tsvi's context Some context: My personal context is that I care about decreasing existential risk, and I think that the broad distribution of efforts put forward by X-deriskers fairly strongly overemphasizes plans that help if AGI is coming in

In this episode, Adam Roach and Jess Webber discuss the three costly mistakes that entrepreneurs often make when launching and scaling their businesses. They emphasize the importance of proper pricing, the dangers of perfectionism, and the pitfalls of being a generalist in coaching. The discussion provides actionable insights for coaches and entrepreneurs to avoid these common traps and achieve greater success.Sign up for the 10K Challenge hereTakeawaysMany coaches undercharge due to imposter syndrome.Pricing should reflect the transformation provided to clients.Confidence in pricing can lead to better client relationships.Perfectionism can hinder action and delay launches.Successful coaches often launch quickly and iterate based on feedback.Generalists struggle to attract clients due to vague messaging.Specialization allows for premium pricing and clearer value propositions.Clarity in messaging opens doors to opportunities.Adding value is more effective than discounting prices.Taking action is essential for building confidence and success.Chapters00:00 Common Mistakes Coaches Make07:20 The Perfection Trap14:46 The Danger of Generalization

Generalizations about ADHD haven't done girls any favors. ADHD often manifests very differently in girls than in boys. What causes parents, educators, and even doctors, to view the symptoms of ADHD differently with girls? We know that masking, and even variations in environments, often cause symptoms to be missed. How is that happening? We're revisiting the subject and chat with Stephen Hinshaw, a Distinguished Professor of Psychology at UC Berkeley and Professor of Psychiatry and Behavioral Sciences at UC San Francisco. Find out more about building neurodiversity-affirming schools, and about the courses we'll be offering soon, here. Stephen P. Hinshaw is Distinguished Professor of Psychology at UC Berkeley and Professor of Psychiatry and Behavioral Sciences at UC San Francisco. His focus is on developmental psychopathology, child and adolescent mental health (particularly ADHD), and the use of clinical trials to understand underlying mechanisms. He also actively investigates mental illness stigmatization and attempts to reduce such stigma. Hinshaw has authored over 400 articles, chapters, and commentaries, plus 12 books. He has won numerous national and international research awards, including the James McKeen Cattell Fellow Award from the Association for Psychological Science, the Distinguished Scientific Contributions Award from the American Psychological Association, and the Sarnat International Prize in Mental Health from the National Academy of Medicine. He was inducted into the American Academy of Arts and Sciences in 2021. His extensive media coverage includes the New York Times, Washington Post, Wall Street Journal, Today Show, CBS Evening News, ABC World News Tonight, and many more. BACKGROUND READING Berkeley, research, website, Straight Talk about ADHD in Girls: How to Help Your Daughter Thrive The Neurodiversity Podcast is on Facebook, Instagram, BlueSky, and you're invited to join our Facebook Group.

Summary In this episode of the Conquer Athlete Podcast, hosts Ryan Bucciantini and Jason Leydon discuss various themes surrounding fitness, mental resilience, and the importance of mindset in athletic performance. They share personal anecdotes from their experiences in the fitness community, including the origins of the D-BAP philosophy, which emphasizes mental toughness and resilience. The conversation also touches on the challenges athletes face, the significance of gradual exposure to difficult tasks, and the camaraderie built through shared fitness experiences. In this conversation, Ryan Bucciantini and Jason Leydon explore the intricacies of mental resilience, emphasizing the importance of discomfort, self-awareness, and the distinction between need and want in training. They discuss how mental toughness can be developed through intentional practices and the necessity of reflection in training. The dialogue also touches on the balance between focus and generalization in an athlete's life, the risk of burnout, and the significance of planning and prioritization in achieving long-term success.   Takeaways Mindset resilience is crucial for athletes. Quitting can lead to negative self-talk. Gradual exposure to challenges prevents burnout. The D-BAP philosophy encourages mental toughness. Community and camaraderie enhance the fitness experience. Training should be balanced to avoid overexertion. Personal anecdotes enrich the discussion on fitness. The importance of frequency in mental training. Eating habits can impact athletic performance. The evolution of fitness culture is fascinating. Mental training is akin to physical training; both require exposure to discomfort. Understanding the difference between need and want is crucial for mental resilience. Self-awareness is the foundation for building mental strength. Mental toughness can be compartmentalized but should be applied across life domains. Burnout often stems from a lack of self-knowledge and poor planning. Intentional planning can help prevent burnout and maintain balance. Reflection is essential to ensure that training intentions are met. Athletes must learn to stack their priorities to avoid neglecting other life areas. The journey to mental resilience is complex and requires ongoing effort. Creating a supportive environment can enhance mental training outcomes. Topics Building Mental Toughness in Athletes The D-BAP Philosophy Explained Mindset Resilience: Key to Athletic Success From Burnout to Brilliance: A Fitness Journey Sound Bites "Don't be a pussy. Dbap!" "We thought we had to eat paleo!" "Those training days were crazy!" "I can go back to those days!" "D-BAP, Conqueror Athlete D-BAP shirt!" "It's all about frequency and exposure." "Mental burnout is part poor planning." "Changing the way you think is complex." Chapters 00:00 Introduction to the Conquer Athlete Podcast 04:37 Mindset Resilience and Mental Toughness 14:06 The D-BAP Philosophy and Its Origins 15:15 Building Mental Resilience Through Discomfort 18:04 Understanding Need vs. Want in Mental Training 20:09 The Importance of Self-Awareness in Resilience 23:00 Translating Mental Toughness Across Life Domains 27:02 The Balance of Focus and Generalization in Training 29:51 Preventing Burnout Through Intentional Planning 33:00 Reflection and Intention in Mental Training

What to listen for:Robin Greubel and Crystal Wing return with the brilliant Katylynn Sloan for part two of their conversation on the intersection between chemistry and K9 detection!“Train with as much variety as often as you can, in the weirdest of circumstances you can possibly get to, with as many groups and as many people as you can.”Katylynn dives into one of the most misunderstood topics in the detection world: training aids. She breaks down why the term “pseudo” is falling out of favor, replaced by “alternative training aids,” and classifies them into four types: dilution, absorption, mimic, and vigilance. Each has its pros and pitfalls. Mimics, for instance, rely on human interpretation of what's important for a dog to smell—sometimes right, sometimes not. And vigilance aids? They're about maintaining search behavior, not the odor itself.Katylynn also emphasizes the importance of language. As a member of standards boards like ASB and OSAC, she helps shape definitions so handlers, trainers, and scientists are all speaking the same language in courtrooms and classrooms alike. It's not just about what you know, but how clearly you can explain it. Her advice to aspiring canine scientists? Master problem-solving, communication, and the humility to say, “I don't know.”She also touches on the challenges of HRD training, the evolving definitions of “real” odor, and how even “duh” science needs to be written down. Her message to handlers? Train broadly. Generalization is key. Get variety in odors, people, places, and aids—because you never know what the real world will throw at your dog.Dogs are really good. But they're even better when guided by thoughtful, curious humans willing to adapt, collaborate, and learn. Katylynn's passion isn't just informative—it's contagious.Key Topics:Revising Standards and Defining "Real" Odor (0:59)Introduction to Alternative Training Aids (03:27)Mimics and Human Interpretation in Training Aids (07:30)Applying Dilution/Absorption Concepts to HRD (15:14)Public Comment Process and Impact on Standards (17:18)Skills and Traits for Aspiring K9 Scientists (22:53)Final Takeaways: Variety, Generalization, and Collaboration (39:52)Resources:The manipulation of odor availability of training aids used in detection canine trainingAAFS Academy Standards BoardLindsay Waldrop's LabWe want to hear from you:Check out the K9 Detection Collaborative FB page and comment on the episode post!K9Sensus Detection Dog Trainer AcademyK9Sensus Foundation can be found on Facebook and Instagram. We have a Trainer's Group on Facebook!Scentsabilities Nosework is also on Facebook. Here is a Facebook group you should join!Crystal Wing (CB K9) can be found here!You can follow us for notifications of upcoming episodes, find us at k9detectioncollaborative.com

Willem Pienaar and Shreya Shankar discuss the challenge of evaluating agents in production where "ground truth" is ambiguous and subjective user feedback isn't enough to improve performance.The discussion breaks down the three "gulfs" of human-AI interaction—Specification, Generalization, and Comprehension—and their impact on agent success.Willem and Shreya cover the necessity of moving the human "out of the loop" for feedback, creating faster learning cycles through implicit signals rather than direct, manual review.The conversation details practical evaluation techniques, including analyzing task failures with heat maps and the trade-offs of using simulated environments for testing.Willem and Shreya address the reality of a "performance ceiling" for AI and the importance of categorizing problems your agent can, can learn to, or will likely never be able to solve.// BioShreya ShankarPhD student in data management for machine learning.Willem PienaarWillem Pienaar, CTO of Cleric, is a builder with a focus on LLM agents, MLOps, and open source tooling. He is the creator of Feast, an open source feature store, and contributed to the creation of both the feature store and MLOps categories. Before starting Cleric, Willem led the open source engineering team at Tecton and established the ML platform team at Gojek, where he built high scale ML systems for the Southeast Asian decacorn.// Related Linkshttps://www.google.com/about/careers/applications/?utm_campaign=profilepage&utm_medium=profilepage&utm_source=linkedin&src=Online/LinkedIn/linkedin_pagehttps://cleric.ai/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Shreya on LinkedIn: /shrshnkConnect with Willem on LinkedIn: /willempienaarTimestamps:[00:00] Trust Issues in AI Data[04:49] Cloud Clarity Meets Retrieval[09:37] Why Fast AI Is Hard[11:10] Fixing AI Communication Gaps[14:53] Smarter Feedback for Prompts[19:23] Creativity Through Data Exploration[23:46] Helping Engineers Solve Faster[26:03] The Three Gaps in AI[28:08] Alerts Without the Noise[33:22] Custom vs General AI[34:14] Sharpening Agent Skills[40:01] Catching Repeat Failures[43:38] Rise of Self-Healing Software[44:12] The Chaos of Monitoring AI

In this episode, Wayne Stender explores the profound idea that a good life is more important than simply having a good job. He and Dr. Kathy define a good life as one filled with fulfillment, connection, joy, commitment, growth, service, and learning. Dr. Kathy encourages listeners to reflect on what a "good job" means to them, emphasizing aspects like providing for family, flexibility, and personal maturity. The conversation aims to deepen the understanding of how our careers can align with our overall life satisfaction and personal development. Additionally, Wayne highlights the importance of awakening different smarts in children through art, mentioning the work of Creating a Masterpiece, which offers structured art education to help kids thrive creatively and emotionally. Tune in for insights on prioritizing life fulfillment while navigating career choices.

Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles from theoretical physics. We explore the foundations of the Heavy-Tailed Self-Regularization (HTSR) theory that underpins it, which combines random matrix theory and renormalization group ideas to uncover deep insights about model training dynamics. Charles walks us through WeightWatcher's ability to detect three distinct learning phases—underfitting, grokking, and generalization collapse—and how its signature “layer quality” metric reveals whether individual layers are underfit, overfit, or optimally tuned. Additionally, we dig into the complexities involved in fine-tuning models, the surprising correlation between model optimality and hallucination, the often-underestimated challenges of search relevance, and their implications for RAG. Finally, Charles shares his insights into real-world applications of generative AI and his lessons learned from working in the field. The complete show notes for this episode can be found at https://twimlai.com/go/734.

Can artificial intelligence truly become wise? In this landmark lecture, John Vervaeke explores the future of AI through a lens few dare to examine: the limits of intelligence itself. He unpacks the critical differences between intelligence, rationality, reasonableness, and wisdom—terms often used interchangeably in discussions around AGI. Drawing from decades of research in cognitive science and philosophy, John argues that while large language models like ChatGPT demonstrate forms of generalized intelligence, they fundamentally lack core elements of human cognition: embodiment, caring, and participatory knowing. By distinguishing between propositional, procedural, perspectival, and participatory knowing, he reveals why the current paradigm of AI is not equipped to generate consciousness, agency, or true understanding. This lecture also serves as a moral call to action: if we want wise machines, we must first become wiser ourselves. Connect with a community dedicated to self-discovery and purpose, and gain deeper insights by joining our Patreon. — 00:00 Introduction: AI, AGI, and the Nature of Intelligence 02:00 What is General Intelligence? 04:30 LLMs and the Illusion of Generalization 07:00 The Meta-Problems of Intelligence: Anticipation & Relevance Realization 09:00 Relevance Realization: The Hidden Engine of Intelligence 11:30 How We Filter Reality Through Relevance 14:00 The Limits of LLMs: Predicting Text vs. Anticipating Reality 17:00 Four Kinds of Knowing: Propositional, Procedural, Perspectival, Participatory 23:00 Embodiment, Consciousness, and Narrative Identity 27:00 The Role of Attention, Care, and Autopoiesis 31:00 Culture as Niche Construction 34:00 Why AI Can't Participate in Meaning 37:00 The Missing Dimensions in LLMs 40:00 Rationality vs. Reasonableness 43:00 Self-Deception, Bias, and the Need for Self-Correction 46:00 Caring About How You Care: The Core of Rationality 48:00 Wisdom: Aligning Multiple Selves and Temporal Scales 53:00 The Social Obligation to Cultivate Wisdom 55:00 Alter: Cultivating Wisdom in an AI Future — The Vervaeke Foundation is committed to advancing the scientific pursuit of wisdom and creating a significant impact on the world. Become a part of our mission: https://vervaekefoundation.org/ Join Awaken to Meaning to explore practices that enhance your virtues and foster deeper connections with reality and relationships: https://awakentomeaning.com/ — Ideas, People, and Works Mentioned in this Episode: Jeff Hinton Jordan Peterson Keith Stanovich Michael Levin Stroop Effect Bertrand Russell Plato (Republic, Symposium) Predictive Processing Relevance Realization Spearman (1926) DeepMind (DeepSeek) — Follow John Vervaeke: https://johnvervaeke.com/ https://twitter.com/vervaeke_john https://www.youtube.com/@johnvervaeke https://www.patreon.com/johnvervaeke — Thank you for watching!  

I've been asked this question a lot lately…“Why didn't network marketing EXPLODE from the pandemic and recession, like so many expected? Why are we seeing declines instead of massive growth?”Let's get into it…There's no single reason — it's a combo of things. Yes, the pandemic created a surge for many companies in 2020–2021. But what people don't talk about is that growth was artificial.It was more of a sugar rush than it was sustainable momentum. People were home.They had more time.More stimulus checks.Ecommerce in general saw record-breaking numbers.But then what happened?Life returned to “normal,” attention spans shrank, wallets tightened, and expectations changed.Here's what I believe are the top reasons we've seen double-digit declines across many product-based companies:1. Artificial Pandemic BumpMany companies grew from a moment, not a movement. Growth wasn't built on deep belief or long-term behavior—it was built on convenience and timing.2. Lack of InnovationA lot of companies got lazy during the good times. They stopped innovating. Compensation plans didn't evolve. Products didn't stay ahead of the curve. Messaging got stale. And when consumer priorities shifted, companies weren't ready. This is a GENERALIZATION. I know many of you did evolve.3. We're in the “Options Era”Let's say someone used to buy 100 things. Now their budget forces them to cut back. 10–30% of those go first. Did your product make the cut?Uber. Airbnb. Affiliate. Creator economy. Ecom dropshipping. All legit options now. If we don't create real, unique value, we lose.Those options weren't avail in 2008.4. Poor Customer RetentionMost companies still don't do a great job reselling the customer after the sale. The fortune isn't just in the follow-up—it's in the retention experience.5. False ExpectationsPeople heard “work from home” and thought “easy income.” They weren't ready for rejection, consistency, and leadership development. So they quit early.Lazy on Leadership DevelopmentWe stopped developing leaders because it was so easy!Companies and leaders have been back in the trenches. Some for the last 2 years but you don't just plant a seed and expect a tree to grow the next day. It takes time to see the fruits of your labor. We are starting to see some of those results already and we will continue to see more. This is the WEEDING out season.Listen up—go to www.rankandbanksystem.com right now. Why? Because if your network marketing check isn't where you want it, this is the fix. It's my 30-day Rank & Bank System—daily trainings from me, daily challenges that actually move the needle, and accountability that keeps you in the game. Here's the kicker: it's got a 100% money-back guarantee. You follow the system, show up for 30 days, and if your check doesn't grow, you pay nothing. Zero risk. Most programs drown you in fluff—this one's built to get you results fast, without the overwhelm. I've taken people from $400 a month to millions (not normal but possible) with this exact framework. You've got nothing to lose and everything to gain—go to www.rankandbanksystem.com and lock it in before you miss out. Let's make your bank account match your hustle.

WATCH --> https://2ly.link/1zQfw In this episode, we explore a modern and thoughtful take on force fetch with Chris Arminini of Full Send Canine. Learn how free shaping, marker training, and the NePoPo system are changing the game for retriever training. Whether you're a seasoned handler or starting your first dog, this episode brings clarity and innovation to one of the most debated training topics out there.

Is your win-loss data just expensive fiction written by your sales team? In this episode, Ryan Sorley (ex-Forrester, ex-Gartner) joins the crew to expose the hard truth about buyer research. From ripped jeans costing deals to bootstrapping a business while juggling kids and payroll, Ryan doesn't hold back on his journey from corporate misery to specialized success. Oh, and we uncovered the stupidly simple reason most product marketers fail at research. Tune in for honest laughs, real insights, and maybe a wake-up call about your "data."In this episode, we're covering:How to run a solo business when you have kids and bills to payThe "Taylor Swift Squad" theory of business growthWhy most buyer research is just wishful thinking with fancy graphsThe Powder Blue Taurus Moment: when Ryan knew corporate life was BSWhy writing a business plan is a complete waste of time for solopreneursHow Ryan went from 0 to 100 clients with ZERO salespeopleCheck out his new book Blindspots on Amazon too! Timestamps:01:00 Introducing Ryan Sorley, Win-Loss Research Expert02:36 Are Product Marketers Actually Marketers?04:15 Ryan's Take on Product Marketing as Research06:45 The Importance of Intentional Research10:00 The "Superpower" of Win-Loss Analysis12:34 The HubSpot Ripped Jeans Story17:15 Ryan's Entrepreneurial Journey19:00 The NJ Turnpike Moment: When Ryan Knew Corporate Life Wasn't for Him21:00 How Ryan Discovered the Win-Loss Opportunity23:45 Ryan's Transition from Gartner to Entrepreneurship27:00 What's the Minimum Viable Plan for Going Solo?30:00 The "Squad Life" Approach to Client Relationships34:00 The Dark Times: Managing Cash Flow and Contractors39:00 Specialization vs. Generalization in Consulting42:45 Ryan's New Book: "Blind Spots" (Launch April 1st)44:30 Closing Remarks and FarewellShow Notes:Ryan's LinkedInBlindspots on AmazonHosted by Ausha. See ausha.co/privacy-policy for more information.

This is not a show about teaching eye contact. We'll get to that in a bit. First though, I should note that the 22nd installment of the Inside JABA Series is coming out comically late. I apologize for getting us off schedule. The good news is that we already have a great paper to discuss for the 23rd Inside JABA episode that I think you're going to love, so I hope to have that one out later on in the spring. Back to this episode. Drs. Danny Conine and Jenn Fritz join me to discuss a paper Danny wrote with his colleagues called, "Evaluating a screening-to-intervention model with caregiver training for response to name among children with autism." There are so many great things about this paper, and listeners will be able to tell this from my enthusiasm in discussing it with Danny and Jenn. As I noted above, this is not about teaching eye contact, but rather, a more generalized repertoire of responding to one's name (RTN). We get into why these two things are different, and, as Danny tells it, RTN repertoires have many benefits that directly impact learning and safety. In this paper, he describes an elegant assessment and intervention that his research team implemented to develop RTN in the study's participants. In carrying out this study, they also employed a simple and effective assent withdrawal component, which we get into. Then, they took what the skills they developed in a clinic setting, and taught the participant's caregivers to implement RTN procedures at home. As such, this paper provides a great example of how to generalize skills across settings. Very cool! Along the way, Danny provides practical tips clinicians can consider for their own practice. All of this to say, I'm hoping you'll agree that the wait for this episode will be worth it! Resources discussed in this podcast: Conine, et al. (2025). Evaluating a screening-to-intervention model with caregiver training for response to name among children with autism. Conine, et al. (2020). Assessment and treatment of response to name for children with autism spectrum disorder: Toward an efficient intervention model. Conine, Vollmer, and Bolívar (2019). Response to name in children with autism: Treatment, generalization, and maintenance. BOP Session 212 with Tim Hackenberg. Luczynski and Hanley (2013). Prevention of problem behavior by teaching functional communication and self-control skills to preschoolers. The Verbal Behavior Approach, by Dr. Mary Barbera. Links to Danny's faculty page, Research Gate profile, LinkedIn, and his lab's Instagram. Jenn's faculty page, Research Gate profile, LinkedIn, and the UHCL ABA Program page. If you enjoy this episode, please consider sharing with friends and colleagues!

We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems.The guests include Chris Lu, a researcher who recently completed his DPhil at Oxford University under Prof. Jakob Foerster's supervision, where he focused on meta-learning and multi-agent systems. Chris is the first author of the DiscoPOP paper, which demonstrates how language models can discover and design better training algorithms. Also joining is Robert Tjarko Lange, a founding member of Sakana AI who specializes in evolutionary algorithms and large language models. Robert leads research at the intersection of evolutionary computation and foundation models, and is completing his PhD at TU Berlin on evolutionary meta-learning. The discussion also features Cong Lu, currently a Research Scientist at Google DeepMind's Open-Endedness team, who previously helped develop The AI Scientist and Intelligent Go-Explore.SPONSOR MESSAGES:***CentML offers competitive pricing for GenAI model deployment, with flexible options to suit a wide range of models, from small to large-scale deployments. Check out their super fast DeepSeek R1 hosting!https://centml.ai/pricing/Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/**** DiscoPOP - A framework where language models discover their own optimization algorithms* EvoLLM - Using language models as evolution strategies for optimizationThe AI Scientist - A fully automated system that conducts scientific research end-to-end* Neural Attention Memory Models (NAMMs) - Evolved memory systems that make transformers both faster and more accurateTRANSCRIPT + REFS:https://www.dropbox.com/scl/fi/gflcyvnujp8cl7zlv3v9d/Sakana.pdf?rlkey=woaoo82943170jd4yyi2he71c&dl=0Robert Tjarko Langehttps://roberttlange.com/Chris Luhttps://chrislu.page/Cong Luhttps://www.conglu.co.uk/Sakanahttps://sakana.ai/blog/TOC:1. LLMs for Algorithm Generation and Optimization [00:00:00] 1.1 LLMs generating algorithms for training other LLMs [00:04:00] 1.2 Evolutionary black-box optim using neural network loss parameterization [00:11:50] 1.3 DiscoPOP: Non-convex loss function for noisy data [00:20:45] 1.4 External entropy Injection for preventing Model collapse [00:26:25] 1.5 LLMs for black-box optimization using abstract numerical sequences2. Model Learning and Generalization [00:31:05] 2.1 Fine-tuning on teacher algorithm trajectories [00:31:30] 2.2 Transformers learning gradient descent [00:33:00] 2.3 LLM tokenization biases towards specific numbers [00:34:50] 2.4 LLMs as evolution strategies for black box optimization [00:38:05] 2.5 DiscoPOP: LLMs discovering novel optimization algorithms3. AI Agents and System Architectures [00:51:30] 3.1 ARC challenge: Induction vs. transformer approaches [00:54:35] 3.2 LangChain / modular agent components [00:57:50] 3.3 Debate improves LLM truthfulness [01:00:55] 3.4 Time limits controlling AI agent systems [01:03:00] 3.5 Gemini: Million-token context enables flatter hierarchies [01:04:05] 3.6 Agents follow own interest gradients [01:09:50] 3.7 Go-Explore algorithm: archive-based exploration [01:11:05] 3.8 Foundation models for interesting state discovery [01:13:00] 3.9 LLMs leverage prior game knowledge4. AI for Scientific Discovery and Human Alignment [01:17:45] 4.1 Encoding Alignment & Aesthetics via Reward Functions [01:20:00] 4.2 AI Scientist: Automated Open-Ended Scientific Discovery [01:24:15] 4.3 DiscoPOP: LLM for Preference Optimization Algorithms [01:28:30] 4.4 Balancing AI Knowledge with Human Understanding [01:33:55] 4.5 AI-Driven Conferences and Paper Review

In this episode, I share why developing specialized skills, rather than becoming a generalist,  allows you to scale and grow your multifamily portfolio more effectively. I discuss why determining whether you are going to become someone who's excellent at finding deals, raising debt/equity, or operating deals is key to removing the ambiguity around your business.This makes it easier for others to invest in your deals, connect you with people who can bring value to your business, and potentially partner with you, as well.I also use an analogy where I talk about Stringer Bell and The Wire... so this will be a fun episode for all of you out there who are fans of the show, like myself. Are you looking to invest in real estate, but don't want to deal with the hassle of finding great deals, signing on debt, and managing tenants? Aligned Real Estate Partners provides investment opportunities to passive investors looking for the returns, stability, and tax benefits multifamily real estate offers, but without the work - join our investor club to be notified of future investment opportunities.Connect with Axel:Follow him on InstagramConnect with him on LinkedInSubscribe to our YouTube channelLearn more about Aligned Real Estate Partners

What to listen for:“If I cannot, in five repetitions, isolate a variable down and get it where I want it, I do need to stop. That doesn't mean the next time we'll be successful. What that tells me is, don't do the same thing again and again and again. And there's been a lot of variation. Isolate that variable. It looks good now. Put it back in a chain, it doesn't look good. What have I done wrong?”In part one of this two-part discussion, Robin Greubel and Crystal Wing sit down with special guest Denise Fenzi, a trainer and educator who specializes in building cooperation, joy, and extreme precision in competition dog sports teams.“Patterns lead to confidence. Unpredictable leads to listening.”Famous for breaking down complex concepts into bite-sized lessons, Denise does a deep dive into a training philosophy that stresses adaptability and prioritizing the dog's wellbeing. She discusses how to build your dog's vocabulary via strategic repetition, as well as her approach to encouraging or disrupting behavioral patterns during training.“The more ways you generalize the behavior, the better the dog gets at those behaviors.”Denise shares why tools like choke chains and e-collars might be a thing of the past, and why tailored, humane options like aversives better enhance understanding and cooperation between you and your dog–which in turn fosters a bond built on trust and respect rather than pain and fear.“A behavior chain is simply a bunch of behaviors strung together, so you have to get comfortable with degrees of messiness.”Finally, Denise unravels the complexities of behavior chains and the balance between instinctual behaviors and structured learning. She walks us through the art of rewarding gradual progress and adapting training techniques to maintain a dog's confidence.Key Topics:Denise's Training Methodology (06:51)Applying Micro Behaviors To Full Training Scenarios (20:22)Generalizing Behaviors (26:13)Drive Versus Arousal (35:50)Resources:Fenzi Dog Sports AcademyWe want to hear from you:Check out the K9 Detection Collaborative FB page and comment on the episode post!K9Sensus Detection Dog Trainer AcademyK9Sensus Foundation can be found on Facebook and Instagram. We have a Trainer's Group on Facebook!Scentsabilities Nosework is also on Facebook. Here is a Facebook group you should join!Crystal Wing K9 Coach can be found here at CB K9 and here at Evolution Working Dog Club. Also, check out her Functional Obedience Class here.You can follow us for notifications of upcoming episodes, find us at k9detectioncollaborative.comJingle by: www.mavericksings.comAudio editing & other podcast services by: www.thepodcastman.com

In this episode of The Nomad Solopreneur Show, I sit down with Blair LaCourte, a versatile business executive who has transitioned into coaching from leading major companies in various industries. Blair discusses the importance of relationships, the effects of loneliness, and how humans are hardwired to connect. He shares his philosophy on balancing stress and recovery and the need for self-awareness in both personal and professional life. We dive into how Blair maintains healthy relationships and his journey toward becoming an astronaut with Virgin Galactic. Tune in to hear valuable insights on leadership, self-awareness, and authentic connections.

Sanctuary cities, music, Christmas movies/songs, Ozone hole "healing," stereotypes. Isaac Woodard was drunk! Blacks involved in Emmett Till kidnapping!The Hake Report, Monday, December 23, 2024 AD Bigg Bump https://www.youtube.com/@biggbump | https://x.com/bigg_bump | https://www.instagram.com/bigg_bump // TIMESTAMPS * (0:00:00) Start* (0:01:28) Topics with Bigg Bump* (0:05:44) Hey, guys!* (0:07:24) ALEX, CA: FE debunked? NASA lies.* (0:13:00) ALEX: Drone problems* (0:14:26) Bigg Bump: Air Force base, Chinese spy?* (0:16:27) York City Council, PA… Gaddafi; Female City Council* (0:34:26) DANIEL, TX: Bigg Bump music; natural vs taught talent* (0:40:02) DANIEL: Eminem…* (0:41:46) TERRI, OR: Fave Xmas movie, song? The Ref. Cristina, Things Fall Apart* (0:50:07) Ozone hole healing… science* (1:00:35) Trump court rulings* (1:05:49) Patience…* (1:06:40) MAZE, OH: NAACP, Regulations, Lawsuits* (1:13:50) MAZE: Do you listen to your husband? Debt Ceiling* (1:17:47) RIGO, TX: "Don't judge a book by its cover"; Generalizations* (1:24:40) Sgt Isaac Woodard story* (1:32:18) Being black…* (1:40:33) Emmett Till* (1:50:55) Jose Feliciano - "Feliz Navidad" - 1970LINKSBLOG https://www.thehakereport.com/blog/2024/12/23/christmas-with-bigg-bump-mon-12-23-24PODCAST / Substack HAKE NEWS from JLP https://www.thehakereport.com/jlp-news/2024/12/23/hake-news-mon-12-23-24Hake is live M-F 9-11a PT (11-1CT/12-2ET) Call-in 1-888-775-3773 https://www.thehakereport.com/showVIDEO YouTube - Rumble* - Facebook - X - BitChute - Odysee*PODCAST Substack - Apple - Spotify - Castbox - Podcast Addict*SUPER CHAT on platforms* above or BuyMeACoffee, etc.SHOP - Printify (new!) - Spring (old!) - Cameo | All My LinksJLP Network:JLP - Church - TFS - Nick - Joel - Punchie Get full access to HAKE at thehakereport.substack.com/subscribe

In Nonviolent Communication (NVC), the "Jackal" represents a communication style that is often aggressive and judgmental and tends to reflect a mindset focused on blame, criticism, or demands. Here are some key characteristics of the Jackal mode of communication: Judgment: Jackal communication often involves labeling people, actions, or thoughts as good or bad, right or wrong. This creates a sense of separation and defensiveness. Blame: The Jackal tends to assign responsibility to others for feelings or situations, often leading to conflict and resentment. It focuses on finding fault rather than understanding. Criticism: Jackal communication typically involves expressing disapproval or dissatisfaction in a hurtful or dismissive way, which can discourage open dialogue. Demands: Jackal communication often involves making demands rather than requests, creating feelings of fear or obligation rather than fostering a collaborative atmosphere. Generalizations : Making broad statements about people's actions or character can oversimplify complex situations and lead to misunderstandings. Emotional Disconnection: Jackal communication often lacks empathy, leading to emotional distance and a lack of connection with others' feelings and needs. In contrast, the "Giraffe" symbolizes a more compassionate form of communication in NVC. It focuses on expressing feelings and needs while fostering understanding and connection. NVC aims to shift from Jackal to Giraffe communication for healthier and more constructive interactions.

Former Dashlane HR leader Ciara Lakhani shares her unfiltered journey from New York to Paris tech, debunking myths about French business culture while revealing the art of cross-cultural leadership. From smoke breaks with works councils to earning trust through authenticity, Ciara offers practical wisdom on navigating international business dynamics and building bridges between American and French work cultures. *Email us your questions or topics for Kelli & Nolan: hrheretics@turpentine.co For coaching and advising inquire at https://kellidragovich.com/ HR Heretics is a podcast from Turpentine.

Alessandro Palmarini is a post-baccalaureate researcher at the Santa Fe Institute working under the supervision of Melanie Mitchell. He completed his undergraduate degree in Artificial Intelligence and Computer Science at the University of Edinburgh. Palmarini's current research focuses on developing AI systems that can efficiently acquire new skills from limited data, inspired by François Chollet's work on measuring intelligence. His work builds upon the DreamCoder program synthesis system, introducing a novel approach called "dream decompiling" to improve library learning in inductive program synthesis. Palmarini is particularly interested in addressing the Abstraction and Reasoning Corpus (ARC) challenge, aiming to create AI systems that can perform abstract reasoning tasks more efficiently than current approaches. His research explores the balance between computational efficiency and data efficiency in AI learning processes. DO YOU WANT WORK ON ARC with the MindsAI team (current ARC winners)? MLST is sponsored by Tufa Labs: Focus: ARC, LLMs, test-time-compute, active inference, system2 reasoning, and more. Future plans: Expanding to complex environments like Warcraft 2 and Starcraft 2. Interested? Apply for an ML research position: benjamin@tufa.ai TOC: 1. Intelligence Measurement in AI Systems [00:00:00] 1.1 Defining Intelligence in AI Systems [00:02:00] 1.2 Research at Santa Fe Institute [00:04:35] 1.3 Impact of Gaming on AI Development [00:05:10] 1.4 Comparing AI and Human Learning Efficiency 2. Efficient Skill Acquisition in AI [00:06:40] 2.1 Intelligence as Skill Acquisition Efficiency [00:08:25] 2.2 Limitations of Current AI Systems in Generalization [00:09:45] 2.3 Human vs. AI Cognitive Processes [00:10:40] 2.4 Measuring AI Intelligence: Chollet's ARC Challenge 3. Program Synthesis and ARC Challenge [00:12:55] 3.1 Philosophical Foundations of Program Synthesis [00:17:14] 3.2 Introduction to Program Induction and ARC Tasks [00:18:49] 3.3 DreamCoder: Principles and Techniques [00:27:55] 3.4 Trade-offs in Program Synthesis Search Strategies [00:31:52] 3.5 Neural Networks and Bayesian Program Learning 4. Advanced Program Synthesis Techniques [00:32:30] 4.1 DreamCoder and Dream Decompiling Approach [00:39:00] 4.2 Beta Distribution and Caching in Program Synthesis [00:45:10] 4.3 Performance and Limitations of Dream Decompiling [00:47:45] 4.4 Alessandro's Approach to ARC Challenge [00:51:12] 4.5 Conclusion and Future Discussions Refs: Full reflist on YT VD, Show Notes and MP3 metadata Show Notes: https://www.dropbox.com/scl/fi/x50201tgqucj5ba2q4typ/Ale.pdf?rlkey=0ubvk7p5gtyx1gpownpdadim8&st=5pniu3nq&dl=0

François Chollet discusses the limitations of Large Language Models (LLMs) and proposes a new approach to advancing artificial intelligence. He argues that current AI systems excel at pattern recognition but struggle with logical reasoning and true generalization. This was Chollet's keynote talk at AGI-24, filmed in high-quality. We will be releasing a full interview with him shortly. A teaser clip from that is played in the intro! Chollet introduces the Abstraction and Reasoning Corpus (ARC) as a benchmark for measuring AI progress towards human-like intelligence. He explains the concept of abstraction in AI systems and proposes combining deep learning with program synthesis to overcome current limitations. Chollet suggests that breakthroughs in AI might come from outside major tech labs and encourages researchers to explore new ideas in the pursuit of artificial general intelligence. TOC 1. LLM Limitations and Intelligence Concepts [00:00:00] 1.1 LLM Limitations and Composition [00:12:05] 1.2 Intelligence as Process vs. Skill [00:17:15] 1.3 Generalization as Key to AI Progress 2. ARC-AGI Benchmark and LLM Performance [00:19:59] 2.1 Introduction to ARC-AGI Benchmark [00:20:05] 2.2 Introduction to ARC-AGI and the ARC Prize [00:23:35] 2.3 Performance of LLMs and Humans on ARC-AGI 3. Abstraction in AI Systems [00:26:10] 3.1 The Kaleidoscope Hypothesis and Abstraction Spectrum [00:30:05] 3.2 LLM Capabilities and Limitations in Abstraction [00:32:10] 3.3 Value-Centric vs Program-Centric Abstraction [00:33:25] 3.4 Types of Abstraction in AI Systems 4. Advancing AI: Combining Deep Learning and Program Synthesis [00:34:05] 4.1 Limitations of Transformers and Need for Program Synthesis [00:36:45] 4.2 Combining Deep Learning and Program Synthesis [00:39:59] 4.3 Applying Combined Approaches to ARC Tasks [00:44:20] 4.4 State-of-the-Art Solutions for ARC Shownotes (new!): https://www.dropbox.com/scl/fi/i7nsyoahuei6np95lbjxw/CholletKeynote.pdf?rlkey=t3502kbov5exsdxhderq70b9i&st=1ca91ewz&dl=0 [0:01:15] Abstraction and Reasoning Corpus (ARC): AI benchmark (François Chollet) https://arxiv.org/abs/1911.01547 [0:05:30] Monty Hall problem: Probability puzzle (Steve Selvin) https://www.tandfonline.com/doi/abs/10.1080/00031305.1975.10479121 [0:06:20] LLM training dynamics analysis (Tirumala et al.) https://arxiv.org/abs/2205.10770 [0:10:20] Transformer limitations on compositionality (Dziri et al.) https://arxiv.org/abs/2305.18654 [0:10:25] Reversal Curse in LLMs (Berglund et al.) https://arxiv.org/abs/2309.12288 [0:19:25] Measure of intelligence using algorithmic information theory (François Chollet) https://arxiv.org/abs/1911.01547 [0:20:10] ARC-AGI: GitHub repository (François Chollet) https://github.com/fchollet/ARC-AGI [0:22:15] ARC Prize: $1,000,000+ competition (François Chollet) https://arcprize.org/ [0:33:30] System 1 and System 2 thinking (Daniel Kahneman) https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555 [0:34:00] Core knowledge in infants (Elizabeth Spelke) https://www.harvardlds.org/wp-content/uploads/2017/01/SpelkeKinzler07-1.pdf [0:34:30] Embedding interpretive spaces in ML (Tennenholtz et al.) https://arxiv.org/abs/2310.04475 [0:44:20] Hypothesis Search with LLMs for ARC (Wang et al.) https://arxiv.org/abs/2309.05660 [0:44:50] Ryan Greenblatt's high score on ARC public leaderboard https://arcprize.org/

The Intersection of High Conflict Personalities and Domestic ViolenceIn this compelling episode, Bill Eddy and Megan Hunter dive into the complex relationship between high conflict personalities and domestic violence. They explore how individuals who have borderline personality disorder (BPD) and antisocial personality disorder (ASPD) may contribute to intimate partner violence (IPV), while emphasizing the importance of distinguishing between high conflict families and domestic violence cases.Bill and Megan discuss the challenges faced by professionals in identifying the true perpetrator in a domestic violence situation, as well as the underlying fears and motivations that may drive abusive behavior in individuals with these personality types. They also address the issue of accountability and the potential benefits of group therapy for individuals who have BPD.Questions we answer in this episode:How do high conflict personalities relate to domestic violence?What role do individuals who have BPD and ASPD play in intimate partner violence?What are effective interventions for perpetrators of domestic violence?Key Takeaways:Distinguishing between high conflict families and domestic violence cases is crucial.Individuals who have BPD and ASPD have a higher incidence of IPV perpetration.Setting limits and imposing consequences are essential for holding perpetrators accountable.This episode offers valuable insights into the complexities of domestic violence and high conflict personalities, making it a must-listen for anyone navigating these challenges.Links & Other NotesBOOKSSplitting: Protecting Yourself While Divorcing Someone with Borderline or Narcissistic Personality DisorderOur New World of Adult BulliesDating RadarCalming Upset People with EARHigh Conflict People in Legal DisputesCOURSESConversations About Domestic Violence in Family Law with 16 ExpertsStrategies for Helping Clients with Borderline Personalities in DivorceHandling Family Law Cases Involving Antisocial High Conflict PeopleARTICLESDomestic Violence vs. High Conflict Families: Are one or two people driving the conflict?Domestic Violence and Personality Disorders: What's the Connection?Living with High-Conflict People: Do's and Don'ts for Living with an Antisocial High Conflict PeopleDifferences in Dealing with Borderline, Narcissistic and Antisocial Clients in Family LawWhy I Wrote SplittingUnderstanding Borderline Personality Disorder in Family Law CasesOUR WEBSITEhttps://www.highconflictinstitute.com/QUESTIONSSubmit a Question for Bill and MeganAll of our books can be found in our online store or anywhere books are sold, including as e-books.You can also find these show notes at our site as well.Note: We are not diagnosing anyone in our discussions, merely discussing patterns of behavior. (00:00) - Welcome to It's All Your Fault (00:38) - The 5 Types of People Who Can Ruin Your Life Part 4 (01:26) - Domestic Violence and HCPs (03:49) - Bill's Background (06:48) - Stats (09:23) - Anti-Social (14:38) - Verbally Abusive (16:42) - Accountability (18:53) - Disruptive (20:21) - When Law Enforcement's Involved (23:13) - Borderline Personality (27:17) - More Reactive (28:18) - Remorse (29:41) - Can't Control Themselves (31:06) - Generalizations (31:38) - When in One of These Relationships (36:09) - Reminders & Coming Next Week: Law Enforcement Guest Learn more about our Conflict Influencer Class. Get started today!

Join the live global event, "Introduction to Regenerative Coffee Farming," an online event in English, Spanish, and Portuguese for coffee producers and the wider coffee industry on October 28, 29, and 30th.Register now at: https://www.eventbrite.com.au/e/introduction-to-regenerative-coffee-farming-tickets-1032555741017••••••••••••••••••••••••••••••••This is the 4th episode of a new five-part series on The Daily Coffee Pro by the Map It Forward Podcast, hosted by Lee Safar.Our first-time guest on the podcast for this new series is Miguel Zamora from the International Coffee Organization (ICO) based in London, UK.Miguel is the Coordinator of the Coffee Public-Private Taskforce. One of the responsibilities of this taskforce is to work towards a living income for coffee producers around there world.The theme for this series is "A living income for coffee producers"The five-episode of this series are:1. Who and What Is The ICO? - https://youtu.be/xoxEyUdID7o2. What Is A Living Income For Coffee Producers? - https://youtu.be/i5_FJ0nkmKw3. The Stakeholders Defining Coffee Producers' Living Income - https://youtu.be/wevnoKEM_kQ4. The Obstacles Preventing Farms Living Income - https://youtu.be/DuWl28ZM-pU5. The Path Forward for Coffee Farmer Incomes - https://youtu.be/R_2vW88576EIn this episode of 'The Daily Coffee Pro by Map It Forward,' Lee and Miguel delve into the complexities surrounding living income for coffee producers, the impact of government and corporate policies, and the role of regenerative agriculture as a sustainable path forward.Lee and Miguel address issues of transparency, accountability, and the need for collaboration among various stakeholders to ensure the prosperity of coffee farmers. The conversation underscores the significance of informed consumer behavior and regulatory measures in shaping the future of coffee production and sustainability.00:00 Introduction: The Voice of the People00:46 Announcement: Regenerative Coffee Farming Workshop02:14 Living Income for Coffee Producers03:11 Generalization in the Coffee Industry04:53 Challenges in Coffee Pricing and Living Income10:24 Trust and Jaded Perspectives12:34 The Role of Governments and Corporations25:29 Complexities of the Coffee Crisis30:38 Conclusion: The Path ForwardConnect with Miguel Zamora and the ICO here:https://www.ico.org/https://www.linkedin.com/in/miguelzamora/https://www.instagram.com/icocoffeeorg••••••••••••••••••••••••••••••••Support this podcast by supporting our Patreon:https://bit.ly/MIFPatreon••••••••••••••••••••••••••••••••The Daily Coffee Pro by Map It Forward Podcast Host: Lee Safarhttps://www.mapitforward.coffeehttps://www.instagram.com/mapitforward.coffeehttps://www.instagram.com/leesafar••••••••••••••••••••••••••••••••

In this special crossover episode of The Cognitive Revolution, Nathan shares an insightful conversation from the Latent.Space podcast. Swyx and Alessio interview Alistair Pullen of Cosine, creators of Genie, showcasing the cutting edge of AI automation in software engineering. Learn how Cosine achieves state-of-the-art results on the SWE-bench benchmark by implementing advanced AI techniques. This episode complements Nathan's recent discussion on AI Automation, demonstrating how far these practices can be pushed in real-world applications. Don't miss this opportunity to explore the future of AI-driven software development and its implications for businesses across industries. Check out the Latent.Space podcast here: https://www.latent.space Apply to join over 400 Founders and Execs in the Turpentine Network: https://www.turpentinenetwork.co/ SPONSORS: WorkOS: Building an enterprise-ready SaaS app? WorkOS has got you covered with easy-to-integrate APIs for SAML, SCIM, and more. Join top startups like Vercel, Perplexity, Jasper & Webflow in powering your app with WorkOS. Enjoy a free tier for up to 1M users! Start now at https://bit.ly/WorkOS-Turpentine-Network Weights & Biases Weave: Weights & Biases Weave is a lightweight AI developer toolkit designed to simplify your LLM app development. With Weave, you can trace and debug input, metadata and output with just 2 lines of code. Make real progress on your LLM development and visit the following link to get started with Weave today: https://wandb.me/cr 80,000 Hours: 80,000 Hours offers free one-on-one career advising for Cognitive Revolution listeners aiming to tackle global challenges, especially in AI. They connect high-potential individuals with experts, opportunities, and personalized career plans to maximize positive impact. Apply for a free call at https://80000hours.org/cognitiverevolution to accelerate your career and contribute to solving pressing AI-related issues. Omneky: Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off https://www.omneky.com/ CHAPTERS: (00:00:00) About the Show (00:00:22) Sponsors: WorkOS (00:01:22) About the Episode (00:04:29) Alistair and Cosine intro (00:13:50) Building the Code Retrieval Tool (00:17:36) Sponsors: Weights & Biases Weave | 80,000 Hours (00:20:15) Developing Genie and Fine-tuning Process (00:27:41) Working with Customer Data (00:30:53) Code Retrieval Challenges and Solutions (00:36:39) Sponsors: Omneky (00:37:02) Planning and Reasoning in AI Models (00:45:55) Language Support and Generalization (00:49:46) Fine-tuning Experience with OpenAI (00:52:56) Synthetic Data and Self-improvement Loop (00:55:57) Benchmarking and SWE-bench Results (01:01:47) Future Plans for Genie (01:03:02) Industry Trends and Cursor's Success (01:05:23) Calls to Action and Ideal Customers (01:08:43) Outro

Max is the CEO and co-founder of Nixtla, where he is developing highly accurate forecasting models using time series data and deep learning techniques, which developers can use to build their own pipelines. Max is a self-taught programmer and researcher with a lot of prior experience building things from scratch. 00:00:50 Introduction 00:01:26 Entry point in AI 00:04:25 Origins of Nixtla 00:07:30 Idea to product 00:11:21 Behavioral economics & psychology to time series prediction 00:16:00 Landscape of time series prediction 00:26:10 Foundation models in time series 00:29:15 Building TimeGPT 00:31:36 Numbers and GPT models 00:34:35 Generalization to real-world datasets 00:38:10 Math reasoning with LLMs 00:40:48 Neural Hierarchical Interpolation for Time Series Forecasting 00:47:15 TimeGPT applications 00:52:20 Pros and Cons of open-source in AI 00:57:20 Insights from building AI products 01:02:15 Tips to researchers & hype vs Reality of AI More about Max: https://www.linkedin.com/in/mergenthaler/ and Nixtla: https://www.nixtla.io/ Check out TimeGPT: https://github.com/Nixtla/nixtla About the Host: Jay is a PhD student at Arizona State University working on improving AI for medical diagnosis and prognosis. Linkedin: https://www.linkedin.com/in/shahjay22/ Twitter: https://twitter.com/jaygshah22 Homepage: https://www.public.asu.edu/~jgshah1/ for any queries. Stay tuned for upcoming webinars! ***Disclaimer: The information in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

  Do you want to engage your buyers with tailored communication strategies that enhance your sales success? We'll be sharing the solution so that you can achieve that result. Discover the unexpected connection between AI insights and the movie "Man of Honor". How does this true story inspire a new approach to sales success? Dive into this intriguing journey with Amarpreet Kalkat on the Modern Selling Podcast. What's the surprising link? Find out now. Be honest, are you tired of sending out countless generic messages and emails, only to be met with disappointing results? You're not alone. You've probably been told to cast a wide net and hope for the best, but let's face it, that approach is leaving you feeling frustrated and unproductive. If you're tired of the same old ineffective strategies and the pain of not getting the results you want, it's time to try a new approach. Uncover the Power of AI for Sales Success AI in sales is a significant step change, providing valuable insights beyond data. Utilize AI wisely to gain a deeper understanding of buyer psychology and engagement. The potential of AI lies in providing insights and enhancing sales strategies thoughtfully. Amarpreet Kalkat's journey into the realm of AI and sales is a fascinating blend of professional expertise and personal transformation. With over a decade of active involvement in AI, he defies the notion of it being a new endeavor. As a two-time AI entrepreneur, his commitment to excellence led to global recognition, with Forrester acknowledging his consumer intelligence AI as a top contender. Beyond the professional sphere, Amarpreet's evolution from fearing dogs to becoming a devoted owner of a majestic German shepherd adds a relatable and endearing layer to his story. His insights on leveraging AI for sales success are rooted in a unique blend of personal growth and professional accomplishments, offering a refreshing perspective for sales professionals aiming to enhance their strategies. Amarpreet's narrative is a compelling fusion of determination, resilience, and unexpected charm, leaving a lasting impact on anyone seeking to navigate the modern sales landscape with sophistication and innovation. Buyer intelligence is nothing but a way of building that buyer first approach. Because when you walk into a meeting, you spend 30 seconds looking at someone's profile and say, okay, this is what matters to this person. This is what doesn't matter. Hence I should say this, not say that, right? Simple things. It's not about you. Your process, your qualification methodology, your medics, your med pics. No buyer doesn't care. - Amarpreet Kalkat   My special guest is Amarpreet Kalkat Amarpreet Kalkat is the CEO and founder of Human tech AI, with a solid decade of experience in the field of AI. His previous AI startup was recognized by Forrester as one of the top five consumer intelligence AIs, and The Wall Street Journal labeled it as a technology that could reshape the world. With a strong emphasis on behavior and personality prediction engines, Amarpreet is dedicated to providing sellers with invaluable insights to adopt a "buyer first" approach. His expertise in leveraging AI for sales success offers a wealth of knowledge that promises to enhance engagement and tailored communication strategies for sales professionals seeking to refine their approach. In this episode, you will be able to: Maximize sales potential with AI-driven strategies. Tailor your sales approach to prioritize the buyer's needs. Gain valuable insights on leveraging human touch in AI-powered sales. Craft personalized messages to resonate with your prospects. Uncover the impact of personality insights on driving sales success.   The key moments in this episode are: 00:00:09 - Introduction to AI in Sales 00:03:29 - Buyer First Approach 00:07:34 - Nuanced Approach to AI in Sales 00:10:10 - Leveraging AI for Thoughtful Engagement 00:13:45 - The Challenge of AI SDRs 00:14:49 - The State of AI in Sales 00:16:10 - The Future of AI in Sales 00:17:28 - The Role of AI in Message Preparation 00:19:13 - Risks of AI in Sales 00:27:34 - Importance of Buyer Intelligence 00:29:36 - Importance of Putting Buyers First 00:31:01 - Applying Buyer-First Approach 00:34:55 - Challenges and Solutions in Buyer Insight 00:36:21 - Understanding Buyer's Personality 00:39:38 - Personalized Engagement with Buyers 00:42:36 - Importance of Buyer Intelligence 00:43:07 - Subject Line Performance 00:45:01 - Tactics vs. Concepts 00:46:33 - Generalization in Advice 00:48:35 - All-Time Favorite Movie Timestamped summary of this episode: 00:00:09 - Introduction to AI in Sales Mario Martinez introduces Amaprit Kalkat, CEO and founder of Human Tech AI, to discuss AI and sales personality insights for better buyer engagement. 00:03:29 - Buyer First Approach Amaprit emphasizes the importance of a "buyer first" approach in sales, focusing on understanding buyers at a deeper level and shifting the sales conversation to be more about the buyer. 00:07:34 - Nuanced Approach to AI in Sales Amaprit highlights the need for a nuanced approach to leveraging AI in sales, emphasizing the importance of thoughtful and intelligent automation over "spray and pray" tactics. 00:10:10 - Leveraging AI for Thoughtful Engagement Amaprit discusses the potential of combining multiple signals and insights to personalize sales engagement, moving beyond traditional ICP targeting and focusing on understanding user psychology and psychometrics. 00:13:45 - The Challenge of AI SDRs Mario Martinez and Amaprit discuss the challenges and implications of AI-driven SDRs in sales, addressing the issues of spammy and unthoughtful messaging, and the need for more thoughtful engagement strategies. 00:14:49 - The State of AI in Sales Amarpreet discusses the current state of AI in sales, mentioning that AI STR is not fully ready but is better than most bad STRs. 00:16:10 - The Future of AI in Sales The discussion shifts to the future of AI in sales, with Amarpreet emphasizing the importance of human-assisted AI and the potential for AI to coexist with human sales representatives. 00:17:28 - The Role of AI in Message Preparation Amarpreet explores the idea of AI preparing messages for sales outreach, suggesting the possibility of human validation based on personality insights before sending out automated messages. 00:19:13 - Risks of AI in Sales The conversation delves into the risks of AI in sales, including the potential for leaders to replace people with AI without fully understanding its impact on the sales process and the disillusionment surrounding AI's predicted economic impact. 00:27:34 - Importance of Buyer Intelligence Amarpreet introduces the concept of buyer intelligence, emphasizing the significance of understanding buyers at a deeper level and the potential for salespeople to drive revenue by helping buyers buy more effectively. 00:29:36 - Importance of Putting Buyers First Amarpreet emphasizes the significance of prioritizing the buyer's needs and interests in sales. He highlights the effectiveness of a buyer-first approach and shares insights on understanding what matters to each individual buyer. 00:31:01 - Applying Buyer-First Approach Amarpreet illustrates how a seller can apply the buyer-first approach using Humanic's insights. He shares a real-life example of tailoring his communication to align with the specific needs and preferences of a potential customer. 00:34:55 - Challenges and Solutions in Buyer Insight Mario discusses the challenges faced when there are no buyer insights available. Amarpreet acknowledges the limitations and shares how Humanic is working on expanding its data catchment area to capture dynamic buyer intelligence. 00:36:21 - Understanding Buyer's Personality Amarpreet explains the importance of understanding a buyer's personality and how it influences decision-making. He emphasizes the value of dynamic buyer intelligence in capturing real-time insights into a buyer's mood and behavior. 00:39:38 - Personalized Engagement with Buyers Mario and Amarpreet discuss the power of personalized engagement based on a buyer's personality. They highlight the need to tailor communication and interactions to suit individual buyer preferences for effective sales engagement. 00:42:36 - Importance of Buyer Intelligence Amarpreet discusses the necessity of buyer intelligence and optimizing messages before sending them out. The focus is on word count and subject line construction for better engagement. 00:43:07 - Subject Line Performance Amarpreet shares insights into subject line performance, highlighting the impact of longer subject lines on engagement and click rates, contrary to the popular belief of shorter subject lines being more effective. 00:45:01 - Tactics vs. Concepts The conversation shifts to the distinction between tactics and concepts, emphasizing the importance of fundamental concepts over temporary tactics for long-term success in sales engagement. 00:46:33 - Generalization in Advice The discussion delves into the issue of generalized advice and statistics, emphasizing the value of specific and contrary approaches for real success in sales engagement. 00:48:35 - All-Time Favorite Movie Amarpreet shares his all-time favorite movie, "Man of Honor," and reflects on the impact of the movie's true story and its memorable scenes. Embrace Buyer-First Selling Strategy Prioritizing the buyer's needs and interests is crucial in sales success. Tailoring sales approaches to align with buyer preferences leads to higher engagement. Top sellers excel at putting buyers first, achieving higher win rates and success. Gain Human Tech AI Sales Insights Amarpreet shares insights on human-assisted AI, emphasizing assistive AI over the replacement. Buyer intelligence tools enhance understanding buyers' characteristics for personalized engagement. The episode highlights the role of technology in supporting a buyer-first approach in sales. The resources mentioned in this episode are: Connect with Amarpreet Kalkat on LinkedIn and send a personalized connection request mentioning the Modern Selling Podcast. Follow Amarpreet Kalkat on Twitter for more insights and updates. Download FlyMessage IO for free to save 20 hours or more in a month and increase your productivity. Give the Modern Selling Podcast a five-star rating and review on iTunes to show your support.

Shallow welcomes Dr. Patrick Davidson as they discuss the role of academia in the fitness industry. They reflect on the cycles and trends in the industry and the need for patience and discernment.  Dr. Davidson shares his thoughts on specialization versus generalization and the need for a holistic approach. He also discusses the importance of establishing a worldview and how it informs his coaching and teaching.   https://www.drpatdavidson.net/ https://www.instagram.com/dr.patdavidson/?hl=en   Join the Pre-Script® Level 1 Opt-In list now. Learn more at https://www.pre-script.com/psl1   We've got a new sponsor!   Marek Health is a health optimization company that offers advanced blood testing, health coaching, and expert medical oversight. Our services can help you enhance your lifestyle, nutrition, and supplementation to medical treatment and care. https://marekhealth.com/rxd Code RXD   Don't miss the release of our newest educational community - The Pre-Script ® Collective! Join the community today at www.pre-script.com.   For other strength training, health, and injury prevention resources, check out our website, YouTube channel, and Instagram.   For more episodes, subscribe and tune in to our podcast. Also, make sure to sign up to our mailing list at www.pre-script.com to get the first updates on new programming releases.   You can also follow Dr. Jordan Shallow and Dr. Jordan Jiunta on Instagram!   Dr. Jordan Shallow: https://www.instagram.com/the_muscle_doc/ Dr. Jordan Jiunta: https://www.instagram.com/redwiteandjordan/   Role of Academia in the Fitness Industry (00:03:07) Influence of Science and Well-Produced Content (00:07:23) Specialization vs Generalization in the Fitness Industry (00:11:02) Importance of Establishing a Worldview (00:17:27) Communication and Error in Driving Progress (00:27:07) Acting on Ideas and Spite (00:31:44) Pushing Boundaries in Training (00:36:12) Reconciling the Experiential Brain with the Theoretical Brain (00:40:43) Embracing Physical Discomfort and Physiological Changes (00:42:48) Using the Partner Fit App for Measuring Training Intensity (00:45:31)

David Epstein joins the show to talk Olympics and how athletes are developed around the world. Topics include generalization vs. specialization in sports, developing athletes in the U.S. vs. other countries, why athletes can play for longer than ever before, and more! 0:00 Welcome back to the Domonique Foxworth Show 1:13 Generalization vs. specialization in sports 2:54 What should the U.S. copy from other countries in sports? 11:08 Could NFL players play in the NBA and vice versa? 15:18 Why do athletes have longer careers now? Learn more about your ad choices. Visit megaphone.fm/adchoices

David Epstein joins the show to talk Olympics and how athletes are developed around the world. Topics include generalization vs. specialization in sports, developing athletes in the U.S. vs. other countries, why athletes can play for longer than ever before, and more! 0:00 Welcome back to the Domonique Foxworth Show 1:13 Generalization vs. specialization in sports 2:54 What should the U.S. copy from other countries in sports? 11:08 Could NFL players play in the NBA and vice versa? 15:18 Why do athletes have longer careers now? Learn more about your ad choices. Visit megaphone.fm/adchoices

Edward Gibson is a psycholinguistics professor at MIT and heads the MIT Language Lab. Please support this podcast by checking out our sponsors: - Yahoo Finance: https://yahoofinance.com - Listening: https://listening.com/lex and use code LEX to get one month free - Policygenius: https://policygenius.com/lex - Shopify: https://shopify.com/lex to get $1 per month trial - Eight Sleep: https://eightsleep.com/lex to get special savings Transcript: https://lexfridman.com/edward-gibson-transcript EPISODE LINKS: Edward's X: https://x.com/LanguageMIT TedLab: https://tedlab.mit.edu/ Edward's Google Scholar: https://scholar.google.com/citations?user=4FsWE64AAAAJ TedLab's YouTube: https://youtube.com/@Tedlab-MIT PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: - Check out the sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (10:53) - Human language (14:59) - Generalizations in language (20:46) - Dependency grammar (30:45) - Morphology (39:20) - Evolution of languages (42:40) - Noam Chomsky (1:26:46) - Thinking and language (1:40:16) - LLMs (1:53:14) - Center embedding (2:19:42) - Learning a new language (2:23:34) - Nature vs nurture (2:30:10) - Culture and language (2:44:38) - Universal language (2:49:01) - Language translation (2:52:16) - Animal communication

Have you ever had someone jump to false conclusions about you based on a single comment or tweet? That's what you call a hasty generalization, and people on both sides of the political and theological aisle have been guilty of committing this logical fallacy, many times resulting in the marginalization of whomever is on the receiving end of the accusation. In this current season of political chaos, how can you speak your mind (and share the truth) without falling into the trap of becoming a victim (or maybe even a perpetrator) of these snap judgments? This week, Frank addresses 10 hot-button topics in a single podcast episode! How will he cram so much in so little time? Hastily! In this lightning fast discussion on politics, religion, and logical fallacies, Frank will answer questions like: Is it racist to care about border security? Does being concerned about racial disparities mean that a person is "woke"? Is it divisive to call out heresy in church? How did Frank respond when someone called him a bigot? Do Christians seem to carry a lot of political influence as of late? What did the "He Gets Us" ad campaign get wrong...again?   Later in the episode, Frank responds to an email from a skeptic who made a few hasty generalizations in regards to the previous podcast episode featuring Eric Metaxas. Whether it's political issues like border security and election fraud or theological debates like a young earth versus an old earth, we shouldn't make assumptions without having sufficient information. Want to learn more about how to avoid hasty generalizations? Consider attending the Fearless Faith conference in Xenia, OH this upcoming weekend (February 16-17)! To view the entire VIDEO PODCAST be sure to join our CrossExamined private community. It's the perfect place to jump into some great discussions with like-minded Christians while simultaneously providing financial support for our ministry. You can also SUPPORT THE PODCAST HERE.