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This has been one of the craziest years in AI in a long time: endless product launches, boardroom coups, intense policy debates about AI doom, and a race to find the next big thing. But we’ve also seen concrete tools and policies aimed at getting the AI sector to behave more responsibly and hold powerful players accountable. That gives me a lot of hope for the future of AI.
Quantum computers could become more useful now researchers at Google have designed an algorithm that can translate complex physical problems into the language of quantum physics.
Scientists have fused human brain tissue to a computer chip, creating a mini cyborg in a petri dish that can perform math equations and recognize speech.
Dubbed Brainoware, the system consists of brain cells artificially grown from human stem cells, which have been fostered to develop into a brain-like tissue. This mini-brain organoid is then hooked up to traditional hardware where it acts as a physical reservoir that can capture and remember the information it receives from the computer inputs.
The researchers wanted to explore the idea of exploiting the efficiency of the human brain’s architecture to supercharge computational hardware. The rise of artificial intelligence (AI) has massively increased the demand for computing power, but it’s somewhat limited by the energy efficiency and performance of the standard silicon chips.
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.
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.
They then sculpted the spheres into specific shapes — dictated by an algorithm — and added layers of cardiac stem cells to them in precise locations.
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.
Featuring computer scientist Scott Aaronson (full disclosure, he is also member of the Quanta Magazine Board). Check out his blog: https://scottaaronson.blog/
00:00 Introduction to the P vs NP problem. 02:16 Intro to Computational Complexity. 02:30 How do computers solve problems? 03:02 Alan Turing and Turing Machines. 04:05 George Boole and Boolean Algebra. 05:21 Claude Shannon and the invention of transistors. 06:22 John Von Neumann and the invention of the Universal Electronic Computer. 07:05 Algorithms and their limits. 08:22 Discovery of different classes of computational problems. 08:56 Polynomial P problems explained. 09:56 Exponential NP Problems explained. 11:36 Implications if P = NP 12:48 Discovery of NP Complete problems. 13:45 Knapsack Problem and Traveling Salesman problem. 14:24 Boolean Satisfiability Problem (SAT) defined. 15:32 Circuit Complexity Theory. 16:55 Natural Proofs Barrier. 17:36 Meta-complexity. 18:12 Minimum Circuit Size Problem (MCSP)
