Apple Finch Pudding

Apple Finch Pudding

If you're the kind of person who loves to learn, this is the podcast for you. The way we learn is by having conversations, reading books, and critical thinking. And we happen to love science. Wanna join?

  1. May 31

    The Big Bang Didn't Start The Universe (Everything We Were Taught is Wrong) | Niayesh Afshordi | AFP 53

    What if the version of the Big Bang we were taught in school isn't what physicists actually believe?   We’ve all heard the story: the universe exploded into existence out of absolutely nothing. But according to a massive survey of top physicists, 68% agree that the Big Bang wasn't necessarily the definitive beginning of time, but simply a phase when our universe was incredibly hot and dense. So, what actually happened before our cosmic clock started ticking? Join Jeroen Schreel and Niayesh Afshordi, a Professor of physics and astronomy at the University of Waterloo, and research associate faculty at Perimeter Institute as they deconstruct the modern definition of the Big Bang, shifting away from the idea of a mathematical "singularity" where time stops, and looking at it like waking up from a cosmic dream. From cosmic inflation and primordial sound waves to mind-bending alternative models, like a cyclical "Big Bounce" or the hypothesis that our 3D reality emerged from a collapsing 5D star, this episode bridges the gap between popular myth and cutting-edge physics.   (00:00) Intro (00:39) Ad (02:44) Re-defining the Big Bang (06:09) The Hawking & Penrose Singularity: Where the math of standard physics hits a limit (07:54) Waking up from a cosmic dream: The modern scientific definition of our origins (14:10) Archeology of the sky: Reading cosmic microwave background radiation and sound waves (22:50) What is Cosmic Inflation? Solving the horizon problem (35:33) The Varying Speed of Light theory vs. Inflation models (36:30) Bouncing Narratives: Are we living in a cyclical universe? (37:45) The 5D Star Hypothesis: Did our universe emerge from a higher-dimensional black hole? (46:50) The Eternal Inflation Multiverse & String Theory: Elegance vs. testability (57:50) The Copenhagen Survey: Testing what world-class physicists actually believe (01:03:15) Changing your mind in physics: Why science makes progress "one funeral at a time"   This episode is sponsored by ResearchRabbit https://www.researchrabbit.ai   Don't forget to join our monthly AFP newsletter: https://applefinchpudding.ck.page   #BigBang #Astrophysics #Cosmology #Physics #SciencePodcast

    1h 11m
  2. Apr 30

    How to Use AI in Research Without Compromising Your Academic Integrity | Faheem Ullah | AFP 52

    Is the traditional literature review dead? In an era where AI can summarize 1,000 papers in seconds, the boundary between "working smart" and "losing depth" has never been thinner.   As researchers, we are facing a fundamental shift: AI is no longer a futuristic concept—it is a pervasive reality that touches every domain of science. But as we automate our workflows, are we sacrificing the very creativity and learning curves that define a PhD?   In this episode, Jeroen Schreel sits down with Faheem Ullah, an Assistant Professor in Computer Science at the University of Adelaide, to dismantle the hype and provide a technical roadmap for the modern academic. Faheem breaks down the hierarchical differences between AI, Machine Learning, and Deep Learning, while offering a pragmatic framework for using these tools without compromising your academic integrity.   We dive deep into: -       The 1-Hour Literature Review: How to turn a week-long manual search into a high-productivity hour using iterative search strings and pilot studies. -       The Technical "Black Box": Understanding feature selection, hyperparameters, and why Deep Learning is uniquely suited for automation. -       The Cost of "Free" AI: Why experts predict a jump to $100/month subscriptions as data center costs explode to $600 billion. -       The Hidden Biases: A cautionary tale on how AI-generated avatars and data logging can introduce unintended gender and academic bias.     (00:00) Intro (00:28) Ad (01:43) The Fascinating Energy Consumption of the Human Brain (03:06) Choosing Computer Science: Why the Future is Pervasive (03:52) AI vs. Machine Learning vs. Deep Learning (06:08) How Deep Learning Automates Feature Selection (08:18) Hyperparameters vs. Parameters in Model Training (10:14) Productivity vs. Creativity: The Two Schools of Thought (12:14) Reducing a Week of Literature Review to One Hour (14:18) Using Pilot Studies to Fact-Check AI Search Strings (15:51) Summarizing 1,000 Papers: Are We Losing Research Depth? (18:51) Listening to Research: The Future of "Reading" Papers (20:25) Why AI-Generated Papers Can't Reach Human Quality (Yet) (21:41) Practical AI: Using Models for Data Analysis and Visuals (22:55) Avoiding Bias: A Cautionary Tale of AI-Generated Avatars (24:41) The Paywall Problem: How AI Excludes Certain Research (26:03) Specialized Tools: Moving Beyond ChatGPT (28:05) The End of Cheap AI? $600 Billion Data Centers (30:47) Will OpenAI Include Ads in ChatGPT? (33:28) The 80% Rule: Responsibility and Fact-Checking (35:55) Why Traditional Essay Assignments are Now Obsolete (38:03) The AI Feedback Loop: Training Models on AI-Generated Data (39:20) Why Social Media Algorithms Suppress AI Content (41:20) Using AI for Research Infographics and Communication     This episode is sponsored by ResearchRabbit https://www.researchrabbit.ai   Don't forget to join our monthly AFP newsletter: https://applefinchpudding.ck.page   #AI #AcademicIntegrity #ResearcherTools #DeepLearning #MachineLearning #SciencePodcast

    44 min
  3. Mar 30

    The Truth About “Zero Sugar” Foods They Don’t Want You To Know | Andrew Koutnik | AFP 51

    Are you being tricked by "Zero Sugar" labels and "healthy" processed snacks that are actually destroying your metabolism?   Join Jeroen Schreel and Andrew Koutnik, a research scientist at Florida State University, as they delve into the science behind nutrition and obesity, and the metabolic "landmines" waiting for you in every grocery store. From his personal journey of overcoming childhood obesity to receiving a life-changing Type 1 Diabetes diagnosis at age 16, Andrew shares how he turned a chronic disease into a scientific asset to uncover the truth about human health.   He explains: ·      The Zero Sugar Trap: How major food companies use chemical loopholes like maltitol to claim "Zero Sugar" on labels while delivering ingredients identical to sugar. ·      The #1 Dietary Offender: Why refined carbohydrates are the strongest evidence-linked cause of adverse health effects and obesity. ·      The 3 Pillars of Health: A breakdown of how to optimize nutrition, exercise, and sleep. ·      Bio-Individuality: Why you must trust your own results over scientific "averages"—because you might be the outlier in the research papers.     (00:00) Intro (00:49) Ads (01:55) Start Interview with Scientist and Health Expert Andrew Koutnik (03:23) From Childhood Obesity and Type 1 Diabetes to Research Scientist (05:22) Type 1 vs. Type 2 Diabetes: The Nutrition Link (08:21) The 3 Pillars of Optimal Human Health (09:52) The Hidden Danger of Liquid Sugar Calories (11:25) Therapeutic Diets: Reversing Chronic Disease (13:08) The Best Exercise Routine (14:35) Is Poor Sleep Killing Your Metabolic Health? (15:51) 3 Free Hacks to Improve Your Health Today (18:16) How to Identify "Ultra-Processed" Marketing Traps (19:56) Grocery Secrets: How to Read Food Labels (22:36) The Truth About "Healthy" Crackers & Whole Grains (26:10) The "Zero Sugar" Loophole Explained (37:44) Why Consistency is Your Most Powerful Tool (38:44) The Benefits (and Risks) of Long-Term Fasting (43:07) How Often Should You Actually Fast? (44:20) Keto for Beginners: Fueling Your Body with Fat (46:51) Keto vs. Fasting: Which is Better for You? (49:35) Simple Swaps to Make Any Meal Keto-Friendly (52:30) Why You Must Become Your Own Health Advocate (53:47) How to Start Your Metabolic Health Journey     Follow Dr Andrew X: https://x.com/AKoutnik Instagram: https://www.instagram.com/andrewkoutnikphd   This episode is sponsored by ResearchRabbit https://www.researchrabbit.ai   Don't forget to join our monthly AFP newsletter: https://applefinchpudding.ck.page   #Nutrition #Metabolism#DiabetesResearch #KetoScience #SciencePodcast

    56 min
  4. Feb 28

    Why Protein Advice Is Wrong with Stuart Phillips | AFP 50

    What if the official protein advice you’ve been following is made for you to survive and not to thrive? Skeletal muscle metabolism expert Prof. Stuart Phillips explains why protein intake guidelines are failing you.   Stuart Phillips is a professor of Kinesiology at McMaster University and one of the most cited researchers worldwide on human protein turnover. If you care about aging well and maintaining your independence, Stuart’s 30 years of experience will fundamentally change how you look at your need for exercise and nutrition.   He explains: ·      When you get the optimal benefits of exercise ·      Why current protein guidelines are outdated ·      The benefits of creatine for physical and mental health   00:00 Introduction 01:05 Muscle: The Underappreciated Key to Total Body Health 04:50 If Exercise was a Pill, Everyone would take it 06:11 Why Your Muscle Health is Actually Brain Health 10:23 The Minimum Effective Dose of Exercise for Longevity 13:53 Lifespan vs. Healthspan, How to Age Well 16:27 Why I Changed My Expert Opinion on Protein 17:31 The Protein RDA: Why 0.8g is Too Low for Muscle Health 19:22 Exercise Bakes the Cake, Protein Is The Icing 24:52 Does Too Much Protein Damage Your Kidneys? 27:15 Plant vs. Animal Protein: Which is Best for Longevity? 33:40 The Concept of Protein Turnover and Daily Repair 42:15 Why Strength Training is Non-Negotiable as You Age 51:10 Fighting Sarcopenia, Age-Related Muscle Loss 01:06:37 Take-Home Message: It’s Never Too Late to Start Moving   Don't forget to join our monthly AFP newsletter: https://applefinchpudding.ck.page   #musclehealth #nutrition #protein #creatine #SciencePodcast

    1h 8m

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If you're the kind of person who loves to learn, this is the podcast for you. The way we learn is by having conversations, reading books, and critical thinking. And we happen to love science. Wanna join?