Lifeboat Foundation

In this episode, my guest is Dr. Robert Lustig, M.D., neuroendocrinologist, professor of pediatrics at the University of California, San Francisco (UCSF), and a bestselling author on nutrition and metabolic health. We address the “calories in-calories out” (CICO) model of metabolism and weight regulation and how specific macronutrients (protein, fat, carbohydrates), fiber and sugar can modify the CICO equation. We cover how different types of sugars, specifically fructose, sugars found in liquid form, taste intensity, and other factors impact insulin levels, liver, kidney, and metabolic health. We also explore how fructose in non-fruit sources can be addictive (acting similarly to drugs of abuse) and how sugar alters brain circuits related to food cravings and satisfaction. We discuss the role of sugar in childhood and adult obesity, gut health and disease and mental health. We also discuss how the food industry uses refined sugars to create pseudo foods and what these do to the brain and body. This episode is replete with actionable information about sugar and metabolism, weight control, brain health and body composition. It ought to be of interest to anyone seeking to understand how specific food choices impact the immediate and long-term health of the brain and body. For the show notes, including referenced articles and additional resources, please visit https://www.hubermanlab.com/episode/dr-robert-lustig-how-sug…our-health Thank you to our sponsors AG1: https://drinkag1.com/huberman Eight Sleep: https://eightsleep.com/huberman Levels: https://levels.link/huberman AeroPress: https://aeropress.com/huberman LMNT: https://drinklmnt.com/huberman Momentous: https://livemomentous.com/huberman Huberman Lab Social & Website Instagram: https://www.instagram.com/hubermanlab Twitter: https://twitter.com/hubermanlab Facebook: https://www.facebook.com/hubermanlab TikTok: https://www.tiktok.com/@hubermanlab LinkedIn: https://www.linkedin.com/in/andrew-huberman Website: https://www.hubermanlab.com Newsletter: https://www.hubermanlab.com/newsletter Dr. Robert Lustig Website: https://robertlustig.com Books: https://robertlustig.com/books Publications: https://robertlustig.com/publications Blog: https://robertlustig.com/blog UCSF academic profile: https://profiles.ucsf.edu/robert.lustig Metabolical (book): https://amzn.to/48mNhOE SugarScience: http://sugarscience.ucsf.edu X: https://twitter.com/RobertLustigMD Facebook: https://www.facebook.com/DrRobertLustig LinkedIn: https://www.linkedin.com/in/robert-lustig-8904245 Instagram: https://www.instagram.com/robertlustigmd Threads: https://www.threads.net/@robertlustigmd Timestamps 00:00:00 Dr. Robert Lustig 00:02:02 Sponsors: Eight Sleep, Levels & AeroPress 00:06:41 Calories, Fiber 00:12:15 Calories, Protein & Fat, Trans Fats 00:18:23 Carbohydrate Calories, Glucose vs. Fructose, Fruit, Processed Foods 00:26:43 Fructose, Mitochondria & Metabolic Health 00:31:54 Trans Fats; Food Industry & Language 00:35:33 Sponsor: AG1 00:37:04 Glucose, Insulin, Muscle 00:42:31 Insulin & Cell Growth vs. Burn; Oxygen & Cell Growth, Cancer 00:51:14 Glucose vs. Fructose, Uric Acid; “Leaky Gut” & Inflammation 01:00:51 Supporting the Gut Microbiome, Fasting 01:04:13 Highly Processed Foods, Sugars; “Price Elasticity” & Food Industry 01:10:28 Sponsor: LMNT 01:11:51 Processed Foods & Added Sugars 01:14:19 Sugars, High-Fructose Corn Syrup 01:18:16 Food Industry & Added Sugar, Personal Responsibility, Public Health 01:30:04 Obesity, Diabetes, “Hidden” Sugars 01:34:57 Diet, Insulin & Sugars 01:38:20 Tools: NOVA Food Classification; Perfact Recommendations 01:43:46 Meat & Metabolic Health, Eggs, Fish 01:46:44 Sources of Omega-3s; Vitamin C & Vitamin D 01:52:37 Tool: Reduce Inflammation; Sugars, Cortisol & Stress 01:59:12 Food Industry, Big Pharma & Government; Statins 02:06:55 Public Health Shifts, Rebellion, Sugar Tax, Hidden Sugars 02:12:58 Real Food Movement, Public School Lunches & Processed Foods 02:18:25 3 Fat Types & Metabolic Health; Sugar, Alcohol & Stress 02:26:40 Artificial & Non-Caloric Sweeteners, Insulin & Weight Gain 02:34:32 Re-Engineering Ultra-Processed Food 02:38:45 Sugar & Addiction, Caffeine 02:45:18 GLP-1, Semaglutide (Ozempic, Wegovy, Tirzepatide), Risks; Big Pharma 02:57:39 Obesity & Sugar Addiction; Brain Re-Mapping, Insulin & Leptin Resistance 03:03:31 Fructose & Addiction, Personal Responsibility & Tobacco 03:07:27 Food Choices: Fruit, Rice, Tomato Sauce, Bread, Meats, Fermented Foods 03:12:54 Intermittent Fasting, Diet Soda, Food Combinations, Fiber, Food Labels 03:19:14 Improving Health, Advocacy, School Lunches, Hidden Sugars 03:26:55 Zero-Cost Support, Spotify & Apple Reviews, YouTube Feedback, Sponsors, Momentous, Social Media, Neural Network Newsletter #HubermanLab #Science #Nutrition Title Card Photo Credit: Mike Blabac — https://www.blabacphoto.com Disclaimer: https://hubermanlab.com/disclaimer

Astronomers developed a set of equations that can precisely describe the reflections of the Universe that appear in the warped light around a black hole.

The proximity of each reflection is dependent on the angle of observation with respect to the black hole, and the rate of the black hole’s spin, according to a mathematical solution worked out by physics student Albert Sneppen of the Niels Bohr Institute in Denmark in July 2021.

This was really cool, absolutely, but it wasn’t just really cool. It also potentially gave us a new tool for probing the gravitational environment around these extreme objects.

Unlike us, an algorithm selecting a most-likely next word or a program calculating the best move in a game of chess isn’t choosing and can’t feel regret.

A key aspect of how we think separates us from even the most advanced AI.

DeepMind’s FunSearch discovers new mathematical knowledge and algorithms.

Google DeepMind has triumphantly cracked an age-old mathematical mystery using a method called FunSearch.

The math problem that FunSearch has solved is the famous cap set problem in pure mathematics, which has stumped even the brightest human mathematicians.

Continue reading “Google’s DeepMind AI decodes age-old math equation, stumping humans” »

US Customs and Border Protection (CBP) recently awarded Pangiam, a leading trade and travel technology company, a prime contract for developing and implementing Anomaly Detection Algorithms (ADA).

Pangiam, in collaboration with West Virginia University, aims to bring cutting-edge artificial intelligence (AI), computer vision, and machine learning expertise to enhance CBP’s border and national security missions, the company announced in a press release.

Tiny made from human windpipe cells encouraged damaged neural tissue to repair itself in a lab experiment — potentially foreshadowing a future in which creations like this patrol our bodies, healing damage, delivering drugs, and more.

The background: In a study published in 2020, researchers at Tufts University and the University of Vermont (UVM) harvested and incubated skin cells from frog embryos until they were tiny balls.

Continue reading “Tiny biobots surprise their creators by healing wound” »

Is it possible to invent a computer that computes anything in a flash? Or could some problems stump even the most powerful of computers? How complex is too complex for computation? The question of how hard a problem is to solve lies at the heart of an important field of computer science called computational complexity. Computational complexity theorists want to know which problems are practically solvable using clever algorithms and which problems are truly difficult, maybe even virtually impossible, for computers to crack. This hardness is central to what’s called the P versus NP problem, one of the most difficult and important questions in all of math and science.

This video covers a wide range of topics including: the history of computer science, how transistor-based electronic computers solve problems using Boolean logical operations and algorithms, what is a Turing Machine, the different classes of problems, circuit complexity, and the emerging field of meta-complexity, where researchers study the self-referential nature of complexity questions.

Continue reading “P vs. NP: The Greatest Unsolved Problem in Computer Science” »

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In the realm of computing technology, there is nothing quite as powerful and complex as the human brain. With its 86 billion neurons and up to a quadrillion synapses, the brain has unparalleled capabilities for processing information. Unlike traditional computing devices with physically separated units, the brain’s efficiency lies in its ability to serve as both a processor and memory device. Recognizing the potential of harnessing the brain’s power, researchers have been striving to create more brain-like computing systems.

Efforts to mimic the brain’s activity in artificial systems have been ongoing, but progress has been limited. Even one of the most powerful supercomputers in the world, Riken’s K Computer, struggled to simulate just a fraction of the brain’s activity. With its 82,944 processors and a petabyte of main memory, it took 40 minutes to simulate just one second of the activity of 1.73 billion neurons connected by 10.4 trillion synapses. This represented only one to two percent of the brain’s capacity.

Continue reading “Scientists built a Cyborg computer with living brain tissue” »

Toby Cubitt explains why algorithms are vital for the development of quantum computers.