Podcast appearances and mentions of Max Tegmark

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Few people understand artificial intelligence and machine learning as well as MIT physics professor Max Tegmark. Founder of the Future of Life Institute, he is the author of “Life 3.0: Being Human in the Age of Artificial Intelligence.”“The painful truth that's really beginning to sink in is that we're much closer to figuring out how to build this stuff than we are figuring out how to control it,” he says.Where is the U.S.–China AI race headed? How close are we to science fiction-type scenarios where an uncontrollable superintelligent AI can wreak major havoc on humanity? Are concerns overblown? How do we prevent such scenarios?Views expressed in this video are opinions of the host and the guest, and do not necessarily reflect the views of The Epoch Times.

Palliative physician B.J. Miller asks: Is there a better way to think about dying? And can death be beautiful? SOURCES:B.J. Miller, palliative-care physician and President at Mettle Health. RESOURCES:A Beginner's Guide to the End: Practical Advice for Living Life and Facing Death, by Shoshana Berger and B.J. Miller and (2019).“After A Freak Accident, A Doctor Finds Insight Into ‘Living Life And Facing Death,'” by Fresh Air (W.Y.P.R., 2019).“Dying In A Hospital Means More Procedures, Tests And Costs,” by Alison Kodjak (W.Y.P.R., 2016).“The Final Year: Visualizing End Of Life,” by Arcadia (2016).“What Really Matters at the End of Life,” by B.J. Miller (TED, 2015).“The Flexner Report ― 100 Years Later,” by Thomas P. Duffy (Yale Journal of Biology and Medicine, 2011).“My Near Death Panel Experience,” by Earl Blumenauer (The New York Times, 2009).The Center for Dying and Living. EXTRAS:“Max Tegmark on Why Superhuman Artificial Intelligence Won't be Our Slave (Part 2),” by People I (Mostly) Admire (2021).“Max Tegmark on Why Treating Humanity Like a Child Will Save Us All,” by People I (Mostly) Admire (2021).“Amanda & Lily Levitt Share What It's Like to be Steve's Daughters,” by People I (Mostly) Admire (2021).“Edward Glaeser Explains Why Some Cities Thrive While Others Fade Away,” by People I (Mostly) Admire (2021).“Sendhil Mullainathan Explains How to Generate an Idea a Minute (Part 2),” by People I (Mostly) Admire (2021).“Sendhil Mullainathan Thinks Messing Around Is the Best Use of Your Time,” by People I (Mostly) Admire (2021).“How Does Facing Death Change Your Life?” by No Stupid Questions (2021).“How to Be Better at Death,” by Freakonomics Radio (2021).

Why Max helped organize the 2023 “Pause AI” letter ... AI as a species not a technology ... The rate of AI progress since 2023 ... Loss of control is the biggest risk ... How to get the NatSec community's attention ... How we could lose control ... He we stay in control ... Heading to Overtime ...

Why Max helped organize the 2023 “Pause AI” letter ... AI as a species not a technology ... The rate of AI progress since 2023 ... Loss of control is the biggest risk ... How to get the NatSec community's attention ... How we could lose control ... He we stay in control ... Heading to Overtime ...

Send us a textTechnology is rapidly fulfilling ancient prophecies right before our eyes. In this riveting exploration of artificial intelligence and biblical revelation, we uncover the alarming parallels between emerging tech capabilities and the warnings found in Revelation 13 about the image of the beast and the mark required for commerce.The brilliant Oxford mathematician Professor John Lennox provides crucial insights into how leading scientists view our technological future. Specifically, physicist Max Tegmark's "Omega Project" scenario describes a global government using mandatory wearable devices that monitor citizens continuously and can administer lethal toxins when tampered with—eerily similar to the biblical description of the mark without which "no one can buy or sell."While theologians have spent centuries debating the identity of the Antichrist and the numerical significance of 666, we may have overlooked the bigger picture. AI systems are rapidly gaining attributes traditionally associated with deity: near-omniscience through vast databases, omnipresence through internet connectivity, and oracle-like abilities to provide instant answers and guidance. Some ethicists already note the emergence of quasi-religious devotion to artificial intelligence.The technological groundwork for global control as described in Revelation is no longer science fiction but present reality. As humans created in God's image turn to creating intelligent systems in their own image, we see a perverse inversion of divine order that could enforce the will of a centralized authority with unprecedented efficiency.Despite these developments, believers need not surrender to fear. Understanding prophecy in light of current events helps us stay vigilant and informed as we await Christ's return. The signs are clear: a great falling away from true faith and technology enabling biblical prophecies to be fulfilled with stunning precision. Stay rooted in God's Word, maintain spiritual discernment, and keep your eyes fixed on Jesus—the King is coming.Support the show

Something in 2023 led physicist Max Tegmark to declare we were creating the "Final Human Weapon". What was it and why did Elon Musk recently say there's a 1 in 5 chance of it destroying us? ------- Back the Kickstarter for Fractures in Love: Fractures Pre-Launch Page Read the first 5 Chapters of my upcoming fictional epic - Fractures: Fractures Preview Follow my Author's page on Instagram: @drew.w.author Tell me what you thought of the show! Text me at: (587)206-7006

Do we live in one of many universes? On this episode of StarTalk, Neil deGrasse Tyson and comic co-host Chuck Nice investigate the theory of the multiverse with physicist, author, and professor Max Tegmark. (Originally Aired March 22, 2021)NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/cosmic-queries-multiverse-madness-with-max-tegmark/ Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus.

It feels like 2010 again - the bloggers are debating the proofs for the existence of God. I found these much less interesting after learning about Max Tegmark's mathematical universe hypothesis, and this doesn't seem to have reached the Substack debate yet, so I'll put it out there. Tegmark's hypothesis says: all possible mathematical objects exist. Consider a mathematical object like a cellular automaton - a set of simple rules that creates complex behavior. The most famous is Conway's Game of Life; the second most famous is the universe. After all, the universe is a starting condition (the Big Bang) and a set of simple rules determining how the starting condition evolves over time (the laws of physics). Some mathematical objects contain conscious observers. Conway's Life might be like this: it's Turing complete, so if a computer can be conscious then you can get consciousness in Life. If you built a supercomputer and had it run the version of Life with the conscious being, then you would be “simulating” the being, and bringing it into existence. There would be something it was like to be that being; it would have thoughts and experiences and so on. https://www.astralcodexten.com/p/tegmarks-mathematical-universe-defeats

Besteht das Universum aus Mathematik? Sind wir selbst nur Mathematik? Und was soll das überhaupt heißen? Mehr zur Theorie des mathematischen Universums erfahrt ihr in der neuen Folge der Sternengeschichten. STERNENGESCHICHTEN LIVE TOUR 2025! Tickets unter https://sternengeschichten.live Wer den Podcast finanziell unterstützen möchte, kann das hier tun: Mit PayPal (https://www.paypal.me/florianfreistetter), Patreon (https://www.patreon.com/sternengeschichten) oder Steady (https://steadyhq.com/sternengeschichten)

Today on the Clean Power Hour, host Tim Montague engages in a conversation with Mitch Ratcliffe, Director of Digital Strategy and Innovation at Intentional Futures and host of the Earth 911 podcast. Together, they explore the complex intersection of artificial intelligence, sustainability, and society's future.Ratcliffe brings his extensive experience in technology and sustainability to discuss how AI can be leveraged to address critical environmental challenges while acknowledging its potential risks. The conversation delves into the role of community-scale microgrids in revolutionizing our energy infrastructure, the pressing need for sustainable resource management, and the challenges of balancing technological advancement with environmental stewardship.We also delved into several thought-provoking books, starting with "Superintelligence" (by Nick Bostrom) and "Life 3.0" (by Max Tegmark), which both explore the potential risks and implications of artificial general intelligence (AGI). We also mentioned "Taking Back Control" by Wolfgang Streeck, a German political economist who argues that the anti-globalization movement is a response to the loss of democratic control over economies and suggests that relocalizing can help better control resource usage and provide improved economic opportunities. "Overshoot: The Ecological Basis of Revolutionary Change" by William Catton was recommended as an analysis of humanity's current trajectory of consuming more resources than the Earth can sustain. Finally, we talked about "Multi-solving" by Elizabeth Sawin, which advocates for a systems-thinking approach to problem-solving, encouraging people to understand how changes in one part of a system affect other parts, rather than focusing on isolated solutions.Don't miss this essential conversation that bridges technology, sustainability, and social responsibility, offering both warning and hope for our collective future.Social Media HandlesMitch RatcliffeEarth 911Intentional Futures Support the showConnect with Tim Clean Power Hour Clean Power Hour on YouTubeTim on TwitterTim on LinkedIn Email tim@cleanpowerhour.com Review Clean Power Hour on Apple PodcastsThe Clean Power Hour is produced by the Clean Power Consulting Group and created by Tim Montague. Contact us by email: CleanPowerHour@gmail.com Corporate sponsors who share our mission to speed the energy transition are invited to check out https://www.cleanpowerhour.com/support/The Clean Power Hour is brought to you by CPS America, maker of North America's number one 3-phase string inverter, with over 6GW shipped in the US. With a focus on commercial and utility-scale solar and energy storage, the company partners with customers to provide unparalleled performance and service. The CPS America product lineup includes 3-phase string inverters from 25kW to 275kW, exceptional data communication and controls, and energy storage solutions designed for seamless integration with CPS America systems. Learn more at www.chintpowersystems.com

Max Tegmark's Future of Life Institute has called for a pause on the development on advanced AI systems. Tegmark is concerned that the world is moving toward artificial intelligence that can't be controlled, one that could pose an existential threat to humanity. Yoshua Bengio, often dubbed as one of the "godfathers of AI" shares similar concerns. In this special Davos edition of CNBC's Beyond the Valley, Tegmark and Bengio join senior technology correspondent Arjun Kharpal to discuss AI safety and worst case scenarios, such as AI that could try to keep itself alive at the expense of others.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Our 192nd episode with a summary and discussion of last week's* big AI news! *and sometimes last last week's  Note: this one was recorded on 12/04 , so the news is a bit outdated... Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. Sponsors: The Generator - An interdisciplinary AI lab empowering innovators from all fields to bring visionary ideas to life by harnessing the capabilities of artificial intelligence. The AI safety book “Uncontrollable" which is not a doomer book, but instead lays out the reasonable case for AI safety and what we can do about it. Max TEGMARK said that “Uncontrollable” is a captivating, balanced, and remarkably up-to-date book on the most important issue of our time" - find it on Amazon today! In this episode: OpenAI launches a $200 ChatGPT Pro subscription with advanced capabilities, while Amazon unveils cost-effective Nova multimodal models at the re:Invent conference. Meta releases LLAMA 3.3 70B model, showing significant gains through post-training techniques, and Alibaba introduces QWQ, a reasoning model rivaling OpenAI's O1. Amazon collaborates with Anthropic on a massive AI supercomputer project, and Black Forest Labs eyes a $200 million funding round for growth in AI tools. New research from DeepMind's Genie 2 generates interactive 3D worlds from text and images, progressing AI's understanding of world models and interactive environments. If you would like to become a sponsor for the newsletter, podcast, or both, please fill out this form. Timestamps + Links: (00:00:00) Intro / Banter (00:02:34) Sponsor Break Tools & Apps (00:04:19) OpenAI confirms new $200 monthly subscription, which includes its o1 reasoning model (00:10:40) Amazon announces Nova, a new family of multimodal AI models (00:17:13) ElevenLabs launches GenFM to turn user content into AI-powered podcasts (00:20:21) Google's new generative AI video model is now available Applications & Business (00:23:56) Elon Musk files for injunction to halt OpenAI's transition to a for-profit (00:29:40) Amazon Is Building a Mega AI Supercomputer With Anthropic (00:34:15) It Sounds an Awful Lot Like OpenAI Is Adding Ads to ChatGPT (00:38:23) A16z in Talks to Lead $200 Million Round in Black Forest Labs, Startup Behind AI Images on Grok (00:41:10) Bezos Backs AI Chipmaker Vying With Nvidia at $2.6 Billion Value Projects & Open Source (00:45:25) Meta unveils a new, more efficient Llama model (00:50:00) Alibaba releases an ‘open' challenger to OpenAI's o1 reasoning model (00:55:21) DeMo: Decoupled Momentum Optimization (00:57:01) PRIME Intellect Releases INTELLECT-1 (Instruct + Base): The First 10B Parameter Language Model Collaboratively Trained Across the Globe (01:03:03) Tencent Launches HunyuanVideo, an Open-Source AI Video Model Research & Advancements (01:09:23) DeepMind's Genie 2 can generate interactive worlds that look like video games (01:16:43) Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding (01:20:40) Densing Law of LLMs (01:25:59) Monet: Mixture of Monosemantic Experts for Transformers Policy & Safety (01:30:56) Commerce Strengthens Export Controls to Restrict China's Capability to Produce Advanced Semiconductors for Military Applications (01:37:33) China retaliates against latest US chip restrictions (01:40:52) OpenAI Is Working With Anduril to Supply the US Military With AI (01:43:24) On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback (01:47:52) AI Safety Researcher Quits OpenAI, Saying Its Trajectory Alarms Her (01:51:52) Meta Claims AI Content Was Less than 1% of Election Misinformation (01:55:05) Outro

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Our 189th episode with a summary and discussion of last week's big AI news! Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. In this episode: * OpenAI's acquisition of chat.com and internal shifts, including hardware lead hire and hardware model leaks, signal significant strategy pivots and challenges with model scaling and security.  * Saudi Arabia plans a $100 billion AI initiative aiming to rival UAE's tech hub, highlighting the region's escalating AI investments.  * U.S. penalties on GlobalFoundries for violating sanctions against SMIC underline ongoing challenges in enforcing AI-chip export controls.  * Anthropic collaborates with Palantir and AWS to integrate CLAWD into defense environments, marking a significant policy shift for the company. Sponsors: The Generator - An interdisciplinary AI lab empowering innovators from all fields to bring visionary ideas to life by harnessing the capabilities of artificial intelligence. The AI safety book “Uncontrollable" which is not a doomer book, but instead lays out the reasonable case for AI safety and what we can do about it. Max TEGMARK said that “Uncontrollable” is a captivating, balanced, and remarkably up-to-date book on the most important issue of our time" - find it on Amazon today! If you would like to become a sponsor for the newsletter, podcast, or both, please fill out this form. Timestamps + Links: (00:00:00) Intro / Banter (00:01:28) News Preview (00:02:10) Response to listener comments (00:05:02) Sponsor Break Tools & Apps (00:07:31) OpenAI Introduces ‘Predicted Outputs' Feature: Speeding Up GPT-4o by ~5x for Tasks like Editing Docs or Refactoring Code (00:11:55) Anthropic's Haiku 3.5 surprises experts with an “intelligence” price increase (00:17:10) Introducing FLUX1.1 [pro] Ultra and Raw Modes (00:19:11) X is testing a free version of Grok AI chatbot in select regions Applications & Business (00:21:39) OpenAI acquired Chat.com (00:23:40) Saudis Plan $100 Billion AI Powerhouse to Rival UAE Tech Hub (00:28:28) Meta's former hardware lead for Orion is joining OpenAI (00:31:38) OpenAI Accidentally Leaked Its Upcoming o1 Model to Anyone With a Certain Web Address (00:35:50) Nvidia Rides AI Wave to Pass Apple as World's Largest Company Projects & Open Source (00:37:53) ‘Unrestricted' AI group Nous Research launches first chatbot — with guardrails (00:41:48) FrontierMath: The Benchmark that Highlights AI's Limits in Mathematics (00:46:29) Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent Research & Advancements (00:49:55) Applying “Golden Gate Claude” mechanistic interpretability techniques to protein language models. (00:58:3) Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA (01:05:55) From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code (01:10:22) OpenAI reportedly developing new strategies to deal with AI improvement slowdown Policy & Safety (01:19:52)  What Donald Trump's Win Means For AI (01:28:44) Fab Whack-A-Mole: Chinese Companies are Evading U.S. Sanctions (01:33:57) US fines GlobalFoundries for shipping chips to sanctioned Chinese firm (01:36:55) Anthropic teams up with Palantir and AWS to sell its AI to defense customers (01:39:23) Outro

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What are the leading theories of everything, and are we any closer to discovering the one true theory of everything? In this 90-minute summit, some of the world's top physicists—Max Tegmark, James Beacham, Stephon Alexander—go beyond the hype to explore the very heart of physics.  Einstein began the monumental task of unifying quantum mechanics with general relativity, but will we ever succeed in unifying all the forces of the universe? Can it be done? If so, when? Join us for this thought-provoking discussion and find out! Key Takeaways:  00:00:00 Intro  00:00:45 What is a theory of everything? 00:05:25 State of the field and personal perspectives  00:20:42 Experimental challenges  00:34:13 Mathematical foundations, the multiverse, and theoretical beauty  01:05:12 Where do we go from here? 01:14:23 Audience questions 01:25:35 Outro Additional resources:  ➡️ Follow me on your fav platforms: ✖️ Twitter: https://x.com/DrBrianKeating

I dive into the mind-bending concept of Quantum Suicide, a thought experiment proposed by physicist Max Tegmark in 1997. Joining me to unpack this fascinating theory is Gerrit Van Woudenberg, the director of the film "Quantum Suicide." We'll discuss the scientific basis of the theory, explore the human obsession that drives the film's protagonist, and learn about the challenges and triumphs of bringing this complex idea to the big screen. Whether you're a quantum mechanics enthusiast or simply curious about the boundaries of our reality, this episode promises to challenge your perceptions and ignite your imagination. Subscribe To Sci-Fi Talk Plus for a One Year Free Trial and A Low Forever Monthly Price

KI außer Kontrolle! Wie können wir eine Künstliche Intelligenz überwachen und regulieren, die schneller, schlauer und mächtiger ist als wir? Und was passiert, wenn sie unsere ethischen Grenzen ignoriert?  Diesmal geht es bei Doktopus um die möglichen gesellschaftlichen Auswirkungen einer künstlichen Superintelligenz. Wie könnte so etwas kontrolliert werden? Von der Idee des "versklavten Gottes" bis hin zu einem Überwachungsstaat, der jegliche KI-Forschung verbietet, diskutieren wir verschiedene Szenarien. Sie reichen von einem friedlichen, produktiven Zusammenleben von Mensch und Maschine, über die KI-Diktatur bis hin zur Selbstzerstörung der Menschheit. Alles nur Gedankenspiele? Oder ist die Super-KI bereits näher, als wir denken? Material zu dieser Folge Aufforderung von OpenAI zur Governance von superintelligenter KI (Mai 2023): https://openai.com/index/governance-of-superintelligence/ Große Empfehlung für das Buch “Leben 3.0” von Max Tegmark. In der Folge beziehen wir uns auf die Einleitung mit der Geschichte der superintelligenten KI “Prometheus” und wir gehen auch die verschiedenen Szenarien zum Zusammenleben mit superintelligenter KI durch: https://www.ecolibri.de/shop/article/36891647/max_tegmark_leben_3_0.htmlx Zwischenergebnisse der Umfrage des Future of Life Institutes zur Zukuft mit superintelligenter KI: https://futureoflife.org/ai/superintelligence-survey/ Hier könnt ihr auch selbst noch abstimmen! Mehr über die Risiken von superintelligenter KI: https://arxiv.org/abs/2306.12001 https://futureoflife.org/resource/catastrophic-ai-scenarios/ Mehr über das Feld “AI Policy” bzw. “AI Governance”, inklusive möglicher Karriereoptionen in diesem Bereich: https://www.openphilanthropy.org/research/12-tentative-ideas-for-us-ai-policy/ https://80000hours.org/career-reviews/ai-policy-and-strategy/ Social Media und Kontaktmöglichkeiten Instagram: http://instagram.com/doktopuspodcast/  Youtube: https://www.youtube.com/@doktopuspodcast E-Mail: doktopuspodcast@gmail.com  Credits Recherche, Hosting & Produktion: Dora Dzvonyar & Dominic Anders Sound-Design & Post Production: Julian Dlugosch Ansager: Marcel Gust KI-Songs: Suno KI-Visuals: Bing Image Creator Intro-Musik: Oleggio Kyrylkoww from Pixabay Intermezzo-Transition: MAXOU-YT from Pixabay

David Autor took his first economics class at 29 years old. Now he's one of the central academics studying the labor market. The M.I.T. economist and Steve dissect the impact of technology on labor, spar on A.I., and discuss why economists can sometimes be oblivious. SOURCES:David Autor, professor of economics at the Massachusetts Institute of Technology. RESOURCES:"Does Automation Replace Experts or Augment Expertise? The Answer Is Yes," by David Autor (Joseph Schumpeter Lecture at the European Economic Association Annual Meeting, 2024).“Applying AI to Rebuild Middle Class Jobs,” by David Autor (NBER Working Paper, 2024).“New Frontiers: The Origins and Content of New Work, 1940–2018,” by David Autor, Caroline Chin, Anna Salomons, and Bryan Seegmiller (The Quarterly Journal of Economics, 2024).“Bottlenecks: Sectoral Imbalances and the US Productivity Slowdown,” by Daron Acemoglu, David Autor, and Christina Patterson (NBER Macroeconomics Annual, 2024)."Good News: There's a Labor Shortage," by David Autor (The New York Times, 2021)."David Autor, the Academic Voice of the American Worker," (The Economist, 2019).“Why Are There Still So Many Jobs? The History and Future of Workplace Automation,” by David Autor (The Journal of Economic Perspectives, 2015).“The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market,” by David Autor and David Dorn (The American Economic Review, 2013).“The China Syndrome: Local Labor Market Effects of Import Competition in the United States,” by David Autor, David Dorn, and Gordon H. Hanson (The American Economic Review, 2013). EXTRAS:"What Do People Do All Day?" by Freakonomics Radio (2024)."Daron Acemoglu on Economics, Politics, and Power," by People I (Mostly) Admire (2024)."You Make Me Feel Like a Natural Experiment," by People I (Mostly) Admire (2022)."In Search of the Real Adam Smith," series by Freakonomics Radio (2022)."Max Tegmark on Why Superhuman Artificial Intelligence Won't be Our Slave," by People I (Mostly) Admire (2021)."Automation," by Last Week Tonight With John Oliver (2019).

Max Tegmark, a renowned MIT physicist, dives into the future of AI with Patrick Bet-David, discussing the profound impacts of AI and robotics on society, military, and global regulation. Tegmark warns of the risks and potentials of AI, emphasizing the need for global safety standards. ------

In this video, we explore the good, the bad, and the ugly aspects of Patrick Bet David's annual conference. The main focus of the conference is self-improvement and business development, but is it all a scam? I just returned from the Vault Conference in West Palm Beach, and I want to give you a comprehensive overview of the event, key takeaways, and personal experiences. If you're considering whether or not to attend Vault, this is for you. The Vault Conference, held at the Hilton and Palm Beach Conference and Expo Center, attracted 6,000 attendees and featured big-name speakers like The Rock, Will Gadara, Nick Saban, and Max Tegmark. The event was meticulously organized, with various tiers of attendance ranging from General to CEO, each offering different levels of access and networking opportunities. Whether you're a fan of Patrick Bet David or just curious about high-level business conferences, this episode offers valuable insights and honest feedback

Det finns en del journalistiska, orubbliga principer. Etiska regler som journalister håller så hårt i att knogarna vitnar. Lyssna på alla avsnitt i Sveriges Radio Play. Men i och med den eskalerade kriminaliteten, med sprängningar och dödsskjutningar på öppen gata ställs allmänintresset gång på annan mot den personliga integriteten.Har våldsvågen satt dom etiska reglerna i rörelse?Reporter Alexandra Sannemalm har i veckan tittat på ett fall - ett brinnande nyhetsläge och en polismyndighet som under kvällen inte kunde ge några besked. Friade ”toppmilitären” Johan Huovinen om att vara mitt i mediestormens ögaHur är det egentligen att mitt i en personlig katastrof även hamna mitt i mediernas strålkastarljus? Vilken roll spelar egentligen en namngivning i det läget? Och vem ska räknas som en offentlig person? I början av september kom nyheten att misstankarna avskrivits mot den i medierna så kallade “toppmilitären”. Johan Huovinen valde att träda fram med sitt namn och berätta. Vi har i veckan pratat med honom om mediebevakningen och vi börjar den 17:e oktober förra året när polisen i en gryningsräd klockan fem på morgonen grep Johan Huovinen och hans fru i deras lägenhet i centrala Stockholm. Reporter: Erik PeterssonTechprofilerna som vill rädda journalistiken..och så ska vi till USA och valkampanjen där. För i världens största demokrati vill två välkända techprofiler hjälpa journalistiken på traven. Den svenska professorn Max Tegmark - känd för sin dystopiska syn på AI - driver en egen nyhetstjänst. Och Steve Ballmer, som grundade Microsoft ihop med Bill Gates, har dragit igång en sajt, som ska hjälpa väljarna att ta beslut om dom ska rösta på Donald Trump eller Kamala Harris.Techprofilerna är övertygade om att fakta är svaret på problemet med en valrörelse packad med lögner och desinformation. Men löser det nåt att slänga fakta på problemen om folk vill tro på lögner? Reporter: Katarina AnderssonHar du sett eller hört något du tycker vi borde kika närmare på? Tipsa oss här

World famous cosmologist Max Tegmark shares with ShaoLan his thoughts on the origins of life and the universe and moves on to discover the word for ”life” in Mandarin Chinese. ✨ BIG NEWS ✨ Our brand new Talk Chineasy App, is now live on the App Store! Free to download and perfect for building your speaking confidence from Day 1. Visit our website for more info about the app.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Limitations on Formal Verification for AI Safety, published by Andrew Dickson on August 20, 2024 on LessWrong. In the past two years there has been increased interest in formal verification-based approaches to AI safety. Formal verification is a sub-field of computer science that studies how guarantees may be derived by deduction on fully-specified rule-sets and symbol systems. By contrast, the real world is a messy place that can rarely be straightforwardly represented in a reductionist way. In particular, physics, chemistry and biology are all complex sciences which do not have anything like complete symbolic rule sets. Additionally, even if we had such rules for the natural sciences, it would be very difficult for any software system to obtain sufficiently accurate models and data about initial conditions for a prover to succeed in deriving strong guarantees for AI systems operating in the real world. Practical limitations like these on formal verification have been well-understood for decades to engineers and applied mathematicians building real-world software systems, which makes it puzzling that they have mostly been dismissed by leading researchers advocating for the use of formal verification in AI safety so far. This paper will focus-in on several such limitations and use them to argue that we should be extremely skeptical of claims that formal verification-based approaches will provide strong guarantees against major AI threats in the near-term. What do we Mean by Formal Verification for AI Safety? Some examples of the kinds of threats researchers hope formal verification will help with come from the paper "Provably Safe Systems: The Only Path to Controllable AGI" [1] by Max Tegmark and Steve Omohundro (emphasis mine): Several groups are working to identify the greatest human existential risks from AGI. For example, the Center for AI Safety recently published 'An Overview of Catastrophic AI Risks' which discusses a wide range of risks including bioterrorism, automated warfare, rogue power seeking AI, etc. Provably safe systems could counteract each of the risks they describe. These authors describe a concrete bioterrorism scenario in section 2.4: a terrorist group wants to use AGI to release a deadly virus over a highly populated area. They use an AGI to design the DNA and shell of a pathogenic virus and the steps to manufacture it. They hire a chemistry lab to synthesize the DNA and integrate it into the protein shell. They use AGI controlled drones to disperse the virus and social media AGIs to spread their message after the attack. Today, groups are working on mechanisms to prevent the synthesis of dangerous DNA. But provably safe infrastructure could stop this kind of attack at every stage: biochemical design AI would not synthesize designs unless they were provably safe for humans, data center GPUs would not execute AI programs unless they were certified safe, chip manufacturing plants would not sell GPUs without provable safety checks, DNA synthesis machines would not operate without a proof of safety, drone control systems would not allow drones to fly without proofs of safety, and armies of persuasive bots would not be able to manipulate media without proof of humanness. [1] The above quote contains a number of very strong claims about the possibility of formally or mathematically provable guarantees around software systems deployed in the physical world - for example, the claim that we could have safety proofs about the real-world good behavior of DNA synthesis machines, or drones. From a practical standpoint, our default stance towards such claims should be skepticism, since we do not have proofs of this sort for any of the technologies we interact with in the real-world today. For example, DNA synthesis machines exist today and do not come with f...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Limitations on Formal Verification for AI Safety, published by Andrew Dickson on August 19, 2024 on The AI Alignment Forum. In the past two years there has been increased interest in formal verification-based approaches to AI safety. Formal verification is a sub-field of computer science that studies how guarantees may be derived by deduction on fully-specified rule-sets and symbol systems. By contrast, the real world is a messy place that can rarely be straightforwardly represented in a reductionist way. In particular, physics, chemistry and biology are all complex sciences which do not have anything like complete symbolic rule sets. Additionally, even if we had such rules for the natural sciences, it would be very difficult for any software system to obtain sufficiently accurate models and data about initial conditions for a prover to succeed in deriving strong guarantees for AI systems operating in the real world. Practical limitations like these on formal verification have been well-understood for decades to engineers and applied mathematicians building real-world software systems, which makes it puzzling that they have mostly been dismissed by leading researchers advocating for the use of formal verification in AI safety so far. This paper will focus-in on several such limitations and use them to argue that we should be extremely skeptical of claims that formal verification-based approaches will provide strong guarantees against major AI threats in the near-term. What do we Mean by Formal Verification for AI Safety? Some examples of the kinds of threats researchers hope formal verification will help with come from the paper "Provably Safe Systems: The Only Path to Controllable AGI" [1] by Max Tegmark and Steve Omohundro (emphasis mine): Several groups are working to identify the greatest human existential risks from AGI. For example, the Center for AI Safety recently published 'An Overview of Catastrophic AI Risks' which discusses a wide range of risks including bioterrorism, automated warfare, rogue power seeking AI, etc. Provably safe systems could counteract each of the risks they describe. These authors describe a concrete bioterrorism scenario in section 2.4: a terrorist group wants to use AGI to release a deadly virus over a highly populated area. They use an AGI to design the DNA and shell of a pathogenic virus and the steps to manufacture it. They hire a chemistry lab to synthesize the DNA and integrate it into the protein shell. They use AGI controlled drones to disperse the virus and social media AGIs to spread their message after the attack. Today, groups are working on mechanisms to prevent the synthesis of dangerous DNA. But provably safe infrastructure could stop this kind of attack at every stage: biochemical design AI would not synthesize designs unless they were provably safe for humans, data center GPUs would not execute AI programs unless they were certified safe, chip manufacturing plants would not sell GPUs without provable safety checks, DNA synthesis machines would not operate without a proof of safety, drone control systems would not allow drones to fly without proofs of safety, and armies of persuasive bots would not be able to manipulate media without proof of humanness. [1] The above quote contains a number of very strong claims about the possibility of formally or mathematically provable guarantees around software systems deployed in the physical world - for example, the claim that we could have safety proofs about the real-world good behavior of DNA synthesis machines, or drones. From a practical standpoint, our default stance towards such claims should be skepticism, since we do not have proofs of this sort for any of the technologies we interact with in the real-world today. For example, DNA synthesis machines exist today and do no...

Rich discusses the new Pixel hardware from the latest Made By Google Event. Here's how to check if your SSN was involved in that massive data breach. Links to freeze credit reports: Experian, TransUnion, Equifax Ryan Montgomery, founder of cybersecurity firm Pentester. NPD Breach Check Tool Mentioned: Bitdefender and ESET for anti-virus, iVPN and Mullvad for VPNs Follow Ryan on Instagram for more cybersecurity info and tips Eric in the I.E. asks there's something similar to Pixel's Call Notes feature for the iPhone. Apple is adding a call recording feature in iOS 18. Samsung is bringing Circle to Search to select Galaxy A series smartphones. Rich shares details on the Pixel Watch 3 and Pixel Buds Pro 2. Maxx in Lake Worth, FL says you should consider freezing one more system from ChexSystems to avoid identify theft with bank accounts being opened in your name. Mark in Woodland Hills is wondering if there's a way to keep his phone cool while cycling outside. Rich mentioned the Phoozy phone case. Fitbit Premium users will have access to some Peloton classes starting in September. Rishi Chandra, Google Home, Shenaz Zack, Google Pixel and Sandeep Waraich, Pixel Wearables. Melody in Carlsbad says random photos are showing up on her Mac computer. Check the folder you're using for your screensaver: Open System Preferences, Screen Saver, Photos and check the library or folder. Elsa in Playa Del Rey wants to use DIRECTV Stream but it doesn't work with Samsung. Robert is trying to make his DIRECTV Genies tune to a certain sports game at a certain time. California will soon let you add your Driver's License and ID to Apple Wallet. Max Tegmark of the Future of Life Institute will talk about the good and bad of AI. Proton VPN now has a browser extension and it's completely free. There's a new world record for most consoles hooked up to one TV: 444. Dylan from St. Louis wrote in to say how much he likes the discount gift card website GCX, formerly Raise. Rich DeMuro talks about tech news, tips, and gadget reviews and conducts interviews in this weekly show. Airs 11 AM - 2 PM PT on KFI AM 640 and syndicated on 350+ stations nationwide. Stream live on the iHeartRadio App or subscribe to the podcast. Follow Rich on X, Instagram and Facebook. Call 1-888-RICH-101 (1-888-742-4101) to join in! Links may be affiliate. RichOnTech.tv See omnystudio.com/listener for privacy information.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Provably Safe AI: Worldview and Projects, published by bgold on August 10, 2024 on LessWrong. In September 2023, Max Tegmark and Steve Omohundro proposed "Provably Safe AI" as a strategy for AI Safety. In May 2024, a larger group delineated the broader concept of "Guaranteed Safe AI" which includes Provably Safe AI and other related strategies. In July, 2024, Ben Goldhaber and Steve discussed Provably Safe AI and its future possibilities, as summarized in this document. Background In June 2024, ex-OpenAI AI Safety Researcher Leopold Aschenbrenner wrote a 165-page document entitled "Situational Awareness, The Decade Ahead" summarizing AI timeline evidence and beliefs which are shared by many frontier AI researchers. He argued that human-level AI is likely by 2027 and will likely lead to superhuman AI in 2028 or 2029. "Transformative AI" was coined by Open Philanthropy to describe AI which can "precipitate a transition comparable to the agricultural or industrial revolution". There appears to be a significant probability that Transformative AI may be created by 2030. If this probability is, say, greater than 10%, then humanity must immediately begin to prepare for it. The social changes and upheaval caused by Transformative AI are likely to be enormous. There will likely be many benefits but also many risks and dangers, perhaps even existential risks for humanity. Today's technological infrastructure is riddled with flaws and security holes. Power grids, cell service, and internet services have all been very vulnerable to accidents and attacks. Terrorists have attacked critical infrastructure as a political statement. Today's cybersecurity and physical security barely keeps human attackers at bay. When these groups obtain access to powerful cyberattack AI's, they will likely be able to cause enormous social damage and upheaval. Humanity has known how to write provably correct and secure software since Alan Turing's 1949 paper. Unfortunately, proving program correctness requires mathematical sophistication and it is rare in current software development practice. Fortunately, modern deep learning systems are becoming proficient at proving mathematical theorems and generating provably correct code. When combined with techniques like "autoformalization," this should enable powerful AI to rapidly replace today's flawed and insecure codebase with optimized, secure, and provably correct replacements. Many researchers working in these areas believe that AI theorem-proving at the level of human PhD's is likely about two years away. Similar issues plague hardware correctness and security, and it will be a much larger project to replace today's flawed and insecure hardware. Max and Steve propose formal methods grounded in mathematical physics to produce provably safe physical designs. The same AI techniques which are revolutionizing theorem proving and provable software synthesis are also applicable to provable hardware design. Finally, today's social mechanisms like money, contracts, voting, and the structures of governance, will also need to be updated for the new realities of an AI-driven society. Here too, the underlying rules of social interaction can be formalized, provably effective social protocols can be designed, and secure hardware implementing the new rules synthesized using powerful theorem proving AIs. What's next? Given the huge potential risk of uncontrolled powerful AI, many have argued for a pause in Frontier AI development. Unfortunately, that does not appear to be a stable solution. Even if the US paused its AI development, China or other countries could gain an advantage by accelerating their own work. There have been similar calls to limit the power of open source AI models. But, again, any group anywhere in the world can release their powerful AI model weig...

Cosmologist Max Tegmark not only is an expert on the universe that we live in, but he can also speak great Chinese! He calls from the USA to chat with ShaoLan about how to say “universe” in Chinese and explains how our understanding of the universe continues to amaze him.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems, published by Joar Skalse on May 17, 2024 on The AI Alignment Forum. I want to draw attention to a new paper, written by myself, David "davidad" Dalrymple, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette Wing, and Joshua Tenenbaum. In this paper we introduce the concept of "guaranteed safe (GS) AI", which is a broad research strategy for obtaining safe AI systems with provable quantitative safety guarantees. Moreover, with a sufficient push, this strategy could plausibly be implemented on a moderately short time scale. The key components of GS AI are: 1. A formal safety specification that mathematically describes what effects or behaviors are considered safe or acceptable. 2. A world model that provides a mathematical description of the environment of the AI system. 3. A verifier that provides a formal proof (or some other comparable auditable assurance) that the AI system satisfies the safety specification with respect to the world model. The first thing to note is that a safety specification in general is not the same thing as a reward function, utility function, or loss function (though they include these objects as special cases). For example, it may specify that the AI system should not communicate outside of certain channels, copy itself to external computers, modify its own source code, or obtain information about certain classes of things in the external world, etc. The safety specifications may be specified manually, generated by a learning algorithm, written by an AI system, or obtained through other means. Further detail is provided in the main paper. The next thing to note is that most useful safety specifications must be given relative to a world model. Without a world model, we can only use specifications defined directly over input-output relations. However, we want to define specifications over input-outcome relations instead. This is why a world model is a core component of GS AI. Also note that: 1. The world model need not be a "complete" model of the world. Rather, the required amount of detail and the appropriate level of abstraction depends on both the safety specification(s) and the AI system's context of use. 2. The world model should of course account for uncertainty, which may include both stochasticity and nondeterminism. 3. The AI system whose safety is being verified may or may not use a world model, and if it does, we may or may not be able to extract it. However, the world model that is used for the verification of the safety properties need not be the same as the world model of the AI system whose safety is being verified (if it has one). The world model would likely have to be AI-generated, and should ideally be interpretable. In the main paper, we outline a few potential strategies for producing such a world model. Finally, the verifier produces a quantitative assurance that the base-level AI controller satisfies the safety specification(s) relative to the world model(s). In the most straightforward form, this could simply take the shape of a formal proof. However, if a direct formal proof cannot be obtained, then there are weaker alternatives that would still produce a quantitative guarantee. For example, the assurance may take the form of a proof that bounds the probability of failing to satisfy the safety specification, or a proof that the AI system will converge towards satisfying the safety specification (with increasing amounts of data or computational resources, for example). Such proofs are of course often very hard to obtain. However, further progress in automated theorem proving (and relat...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems, published by Gunnar Zarncke on May 16, 2024 on LessWrong. Authors: David "davidad" Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette Wing, Joshua Tenenbaum Abstract: Ensuring that AI systems reliably and robustly avoid harmful or dangerous behaviours is a crucial challenge, especially for AI systems with a high degree of autonomy and general intelligence, or systems used in safety-critical contexts. In this paper, we will introduce and define a family of approaches to AI safety, which we will refer to as guaranteed safe (GS) AI. The core feature of these approaches is that they aim to produce AI systems which are equipped with high-assurance quantitative safety guarantees. This is achieved by the interplay of three core components: a world model (which provides a mathematical description of how the AI system affects the outside world), a safety specification (which is a mathematical description of what effects are acceptable), and a verifier (which provides an auditable proof certificate that the AI satisfies the safety specification relative to the world model). We outline a number of approaches for creating each of these three core components, describe the main technical challenges, and suggest a number of potential solutions to them. We also argue for the necessity of this approach to AI safety, and for the inadequacy of the main alternative approaches. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org

SpeakerAnthony is the Executive Director & Secretary of the Board at the Future of Life Institute, and the Faggin Presidential Professor for the Physics of Information at UC Santa Cruz. He has done research in an array of topics in theoretical cosmology, gravitation, statistical mechanics, and other fields of physics. He also has strong interest in science outreach, and has appeared in numerous science documentaries. He is a creator of the science and technology prediction platform Metaculus.com, and is founder (with Max Tegmark) of the Foundational Questions Institute.Worldbuilding CourseThis session is a part of THE WORLDBUILDING CHALLENGE: CO-CREATING THE WORLD OF 2045. In this virtual and interactive course, we engage with the most pressing global challenges of our age—climate change, the risks of AI, and the complex ethical questions arising in the wake of new technologies. Our aim is to sharpen participants' awareness and equip them to apply their skills to these significant and urgent issues.Existential HopeExistential Hope was created to collect positive and possible scenarios for the future so that we can have more people commit to creating a brighter future, and to begin mapping out the main developments and challenges that need to be navigated to reach it. Existential Hope is a Foresight Institute project.Hosted by Allison Duettmann and Beatrice ErkersFollow Us: Twitter | Facebook | LinkedIn | Existential Hope InstagramExplore every word spoken on this podcast through Fathom.fm. Hosted on Acast. See acast.com/privacy for more information.

Economist Daron Acemoglu likes to tackle big questions. He tells Steve how colonialism still affects us today, who benefits from new technology, and why democracy wasn't always a sure thing. SOURCE:Daron Acemoglu, professor of economics at the Massachusetts Institute of Technology. RESOURCES:Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity, by Daron Acemoglu and Simon Johnson (2023)."Economists Pin More Blame on Tech for Rising Inequality," by Steve Lohr (The New York Times, 2022)."America's Slow-Motion Wage Crisis: Four Decades of Slow and Unequal Growth," by John Schmitt, Elise Gould, and Josh Bivens (Economic Policy Institute, 2018)."Why Mental Health Advocates Use the Words 'Died by Suicide,'" by Nicole Spector (NBC News, 2018)."A Machine That Made Stockings Helped Kick Off the Industrial Revolution," by Sarah Laskow (Atlas Obscura, 2017)."The Long-Term Jobs Killer Is Not China. It's Automation," by Claire Cain Miller (The New York Times, 2016).Why Nations Fail: The Origins of Power, Prosperity, and Poverty, by Daron Acemoglu and James A. Robinson (2012)."The Colonial Origins of Comparative Development: An Empirical Investigation," by Daron Acemoglu, Simon Johnson, and James A. Robinson (American Economic Review, 2001)."Learning about Others' Actions and the Investment Accelerator," by Daron Acemoglu (The Economic Journal, 1993)."A Friedman Doctrine — The Social Responsibility of Business Is to Increase Its Profits," by Milton Friedman (The New York Times, 1970). EXTRAS:"'My God, This Is a Transformative Power,'" by People I (Mostly) Admire (2023)."New Technologies Always Scare Us. Is A.I. Any Different?" by Freakonomics Radio (2023)."Max Tegmark on Why Superhuman Artificial Intelligence Won't be Our Slave," by People I (Mostly) Admire (2021)."How to Prevent Another Great Depression," by Freakonomics Radio (2020)."Is Income Inequality Inevitable?" by Freakonomics Radio (2017).

Ilya Sutskever, the chief scientist at OpenAI, the company that created ChatGPT, has said today's technology might be "slightly conscious." Google engineer Blake Lemoine claimed that Google's AI LaMDA was "sentient." Is it? Could AI become conscious in our lifetime? And beyond if we can create AI sentience, should we? MIT's Max Tegmark, author of "Life 3.0," and others, debate the future of AI.See omnystudio.com/listener for privacy information.

Win a $100 Amazon Gift Card! Help me help you get great guests on the Into the Impossible podcast and spread the message throughout the universe. Fill out this listener https://jf1bh9v88hb.typeform.com/to/FGPUYcdT for your chance to win! Enjoy this classic episode from the vault: Max Tegmark & Eric Weinstein, New Years Eve 2020! Don't forget to join my mailing list for your chance to win a real meteorite: briankeating.com Join this channel to get access to perks: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join

Air Date 12/20/2023 AI needs to be regulated by governments even though politicians don't understand computers just as the government regulates the manufacture and operation of aircraft even though your average politician doesn't know their ass from an aileron. That's why expert advisory panels are for. Be part of the show! Leave us a message or text at 202-999-3991 or email Jay@BestOfTheLeft.com Transcript WINTER SALE! 20% Off Memberships (including Gifts) in December! Join our Discord community! Related Episodes: #1547 Shaping the Future of the Internet #1578 A.I. is a big tech airplane with a 10% chance of crashing, should society fly it? OUR AFFILIATE LINKS: ExpressVPN.com/BestOfTheLeft GET INTERNET PRIVACY WITH EXPRESS VPN! BestOfTheLeft.com/Libro SUPPORT INDIE BOOKSHOPS, GET YOUR AUDIOBOOK FROM LIBRO! BestOfTheLeft.com/Bookshop BotL BOOKSTORE BestOfTheLeft.com/Store BotL MERCHANDISE! SHOW NOTES Ch. 1: How are governments approaching AI regulation - In Focus by The Hindu - Air Date 11-16-23 Dr Matti Pohjonen speaks to us about the concerns revolving around AI governance, and if there are any fundamental principles that an AI regulatory regime needs to address. Ch. 2: A First Step Toward AI Regulation with Tom Wheeler - Your Undivided Attention - Air Date 11-2-23 President Biden released a sweeping executive order that addresses many risks of artificial intelligence. Tom Wheeler, former chairman of the Federal Communications Commission, shares his insights on the order and what's next for AI regulation. Ch. 3: Artificial Intelligence Godfathers Call for Regulation as Rights Groups Warn AI Encodes Oppression - Democracy Now! - Air Date 6-1-23 We host a roundtable discussion with three experts in artificial intelligence on growing concerns over the technology's potential dangers: Yoshua Bengio, Max Tegmark, and Tawana Petty. Ch. 4: The EU agrees on AI regulations - What will it mean for people and businesses in the EU - DW News - Air Date 12-9-23 European Union member states and lawmakers reached a preliminary agreement on what they touted as the world's first comprehensive AI legislation on Friday. Ch. 5: EU vs. AI - Today, Explained - Air Date 12-18-23 The EU has advanced first-of-its-kind AI regulation. The Verge's Jess Weatherbed tells us whether it will make a difference, and Columbia University's Anu Bradford explains the Brussels effect. Ch. 6: A First Step Toward AI Regulation with Tom Wheeler Part 2 - Your Undivided Attention - Air Date 11-2-23 Ch. 7: How to Keep AI Under Control | Max Tegmark - TEDTalks - Air Date 11-2-23 Scientist Max Tegmark describes an optimistic vision for how we can keep AI under control and ensure it's working for us, not the other way around. MEMBERS-ONLY BONUS CLIP(S) Ch. 8: Anti-Democratic Tech Firm's Secret Push For A.I. Deregulation w Lori Wallach - Thom Hartmann Program - Air Date 8-8-23 Giant tech firms are meeting secretly to deregulate Artificial Intelligence technologies in the most undemocratic ways possible. Can profit really take over and corrupt progress? Ch. 9: How are governments approaching AI regulation Part 2 - In Focus by The Hindu - Air Date 11-16-23 FINAL COMMENTS Ch. 10: Final comments on the need to understand the benefits and downsides of new technology MUSIC (Blue Dot Sessions)   Produced by Jay! Tomlinson Visit us at BestOfTheLeft.com Listen Anywhere! BestOfTheLeft.com/Listen Listen Anywhere! Follow at Twitter.com/BestOfTheLeft Like at Facebook.com/BestOfTheLeft Contact me directly at Jay@BestOfTheLeft.com

Computer scientist Fei-Fei Li had a wild idea: download one billion images from the internet and teach a computer to recognize them. She ended up advancing the state of artificial intelligence — and she hopes that will turn out to be a good thing for humanity.  RESOURCES:The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of A.I., by Fei-Fei Li (2023)."Fei-Fei Li's Quest to Make AI Better for Humanity," by Jessi Hempel (Wired, 2018)."ImageNet Large Scale Visual Recognition Challenge," by Olga Russakovsky, Li Fei-Fei, et al. (International Journal of Computer Vision, 2015).EXTRAS:“How to Think About A.I." series by Freakonomics Radio (2023).“Will A.I. Make Us Smarter?” by People I (Mostly) Admire (2023).“Satya Nadella's Intelligence Is Not Artificial,” by Freakonomics Radio (2023).“Max Tegmark on Why Superhuman Artificial Intelligence Won't be Our Slave,” by People I (Mostly) Admire (2021).

The current explosion of exciting commercial and open-source AI is likely to be followed, within a few years, by creepily superintelligent AI – which top researchers and experts fear could disempower or wipe out humanity. Scientist Max Tegmark describes an optimistic vision for how we can keep AI under control and ensure it's working for us, not the other way around.

The current explosion of exciting commercial and open-source AI is likely to be followed, within a few years, by creepily superintelligent AI – which top researchers and experts fear could disempower or wipe out humanity. Scientist Max Tegmark describes an optimistic vision for how we can keep AI under control and ensure it's working for us, not the other way around.

The current explosion of exciting commercial and open-source AI is likely to be followed, within a few years, by creepily superintelligent AI – which top researchers and experts fear could disempower or wipe out humanity. Scientist Max Tegmark describes an optimistic vision for how we can keep AI under control and ensure it's working for us, not the other way around.

World famous cosmologist Max Tegmark shares with ShaoLan his thoughts on the origins of life and the universe and moves on to discover the word for ”life” in Mandarin Chinese.

Find out more about mechanical cats doing Cats on Broadway… with our esteemed surprise guest: physicist, cosmologist, and machine-learning researcher Max Tegmark, LIVE in Boston.(Recorded on February 04, 2022)Listen to “SmartLess Live” episodes four weeks early and ad-free on Wondery+See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Watch the Full Episode for FREE: Stop AI Development Now! The Dangers Of Chat GPT-4 - MIT Professor Max Tegmark - London Real

Watch the Full Episode for FREE: Stop AI Development Now! The Dangers Of Chat GPT-4 - MIT Professor Max Tegmark - London Real

In this episode of Perpetual Traffic, Ralph and Kasim discuss various AI tools that can be used to make money. They cover tools like Zapier, ChatGPT, and Tweet Hunter, which can help with legal protection, Twitter threads, and data visualization. The hosts also touch on the importance of personality in YouTube chat and the limitations of threads in online courses. They recommend subscribing to The Rundown newsletter for the latest AI news and updates and mention the book Life 3.0 by Max Tegmark. Additionally, they discuss the potential of AI to replace certain professions and the need for universal basic income. This episode offers valuable insights into the ways AI can be leveraged for business and the impact it may have on society.In This Episode, You'll Learn:00:00 - AI Tools and Resources: An Introduction04:23 - AI Beats Radiologists and Other Professionals06:57 - ChatGPT: A Powerful AI Tool to Use Like a Person07:47 - Consider Inviting Kasim Aslam as a Guest on the Show09:37 - Tweet Hunter: A Useful Tool for Twitter Threads12:15 - Lengthy Terms of Service and NDA Agreements Can Be a Burden16:02 - Limitations of Threads in Online Courses and Tweet100.io18:59 - Personality is Important in YouTube Chat24:07 - Playing with Digitized Versions of Ourselves24:18 - Guest Availability Uncertain26:08 - Be Cautious When Using AI for Writing: Accuracy Not Guaranteed27:08 - Twitter Sentiment Analysis: A Cool Tool to Use29:02 - Zai Zai's ChatGPT Integration Has Overwhelming Implications30:40 - Follow Kasim Aslam on Twitter for New and Interesting AI UpdatesTools Mentioned:Life 3.0 Lex Tagmark bookTLDRAIAICyclopedia.comTheRundown.aisynthesia.ioTweethunter.io - use to magnify your twitter threadsDocalysis.comSol8.com/NDAsChatYoutube.comMake It Stick bookAdcrafter.ai - Google adsOpus.pro/clipSpeakai.coZapier.comLINKS AND RESOURCES:Sam Altman Lex Freedman interviewTiereleven.comSolutions 8

Max Tegmark is a physicist and AI researcher at MIT, co-founder of the Future of Life Institute, and author of Life 3.0: Being Human in the Age of Artificial Intelligence. Please support this podcast by checking out our sponsors: - Notion: https://notion.com - InsideTracker: https://insidetracker.com/lex to get 20% off - Indeed: https://indeed.com/lex to get $75 credit EPISODE LINKS: Max's Twitter: https://twitter.com/tegmark Max's Website: https://space.mit.edu/home/tegmark Pause Giant AI Experiments (open letter): https://futureoflife.org/open-letter/pause-giant-ai-experiments Future of Life Institute: https://futureoflife.org Books and resources mentioned: 1. Life 3.0 (book): https://amzn.to/3UB9rXB 2. Meditations on Moloch (essay): https://slatestarcodex.com/2014/07/30/meditations-on-moloch 3. Nuclear winter paper: https://nature.com/articles/s43016-022-00573-0 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 (07:34) - Intelligent alien civilizations (19:58) - Life 3.0 and superintelligent AI (31:25) - Open letter to pause Giant AI Experiments (56:32) - Maintaining control (1:25:22) - Regulation (1:36:12) - Job automation (1:45:27) - Elon Musk (2:07:09) - Open source (2:13:39) - How AI may kill all humans (2:24:10) - Consciousness (2:33:32) - Nuclear winter (2:44:00) - Questions for AGI

Filmmaker Jay Shapiro has produced a new series of audio documentaries, exploring the major topics that Sam has focused on over the course of his career. Each episode weaves together original analysis, critical perspective, and novel thought experiments with some of the most compelling exchanges from the Making Sense archive. Whether you are new to a particular topic, or think you have your mind made up about it, we think you'll find this series fascinating. In this episode, we explore the landscape of Artificial Intelligence. We'll listen in on Sam's conversation with decision theorist and artificial-intelligence researcher Eliezer Yudkowsky, as we consider the potential dangers of AI – including the control problem and the value-alignment problem – as well as the concepts of Artificial General Intelligence, Narrow Artificial Intelligence, and Artificial Super Intelligence. We'll then be introduced to philosopher Nick Bostrom's “Genies, Sovereigns, Oracles, and Tools,” as physicist Max Tegmark outlines just how careful we need to be as we travel down the AI path. Computer scientist Stuart Russell will then dig deeper into the value-alignment problem and explain its importance.   We'll hear from former Google CEO Eric Schmidt about the geopolitical realities of AI terrorism and weaponization. We'll then touch the topic of consciousness as Sam and psychologist Paul Bloom turn the conversation to the ethical and psychological complexities of living alongside humanlike AI. Psychologist Alison Gopnik then reframes the general concept of intelligence to help us wonder if the kinds of systems we're building using “Deep Learning” are really marching us towards our super-intelligent overlords.   Finally, physicist David Deutsch will argue that many value-alignment fears about AI are based on a fundamental misunderstanding about how knowledge actually grows in this universe.