Podcasts about Artificial general intelligence

On today's podcast episode, we discuss the various definitions of artificial general intelligence (AGI) and try to come up with the best one we can. Then we look at how smart humans are compared to current AI models. Join Senior Director of Podcasts and host Marcus Johnson, and Analysts Jacob Bourne and Gadjo Sevilla. Listen everywhere and watch on YouTube and Spotify.   To learn more about our research and get access to PRO+ go to EMARKETER.com   Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here:  https://www.emarketer.com/content/podcast-btn-artificial-general-intelligence-explained-will-ai-smarter-than-us   © 2025 EMARKETER Cint is a global insights company. Our media measurement solutions help advertisers, publishers, platforms, and media agencies measure the impact of cross-platform ad campaigns by leveraging our platform's global reach. Cint's attitudinal measurement product, Lucid Measurement, has measured over 15,000 campaigns and has over 500 billion impressions globally. For more information, visit cint.com/insights.

Could AI make your job obsolete? Episode 265 of the Six Five Podcast tackles this question and other hot topics. Patrick Moorhead and Daniel Newman explore Amazon's AI-driven hiring slowdown and the potential impact on white-collar jobs. From HPE Discover highlights to OpenAI's legal battles with Microsoft, and a debate over the ethics of AI companies using copyrighted data for training, the boys are back with insightful commentary on the rapidly evolving tech landscape. This week's handpicked topics include:   Intro: Recent events, including HPE Discover and the Six Five Summit  Amazon's Announcement About Workforce Reduction: This aligns with broader industry trends, where AI and automation are reshaping workforce needs across various sectors & spans Amazon's diverse operations, including physical AI and robotics in warehouses, autonomous delivery systems, and white-collar knowledge work. (The Decode) Microsoft and OpenAI's Partnership: Examining the complex relationship between Microsoft and OpenAI, and the definition and implications of “AGI,” Artificial General Intelligence. (The Decode) Intel's Strategic Moves: Analysis of Lip Bu Tan's recent shifts at Intel, including its automotive division shutdown. Plus, speculation on Intel's future focus and strategy. (The Decode) Fair Use and AI Training: A debate on the use of copyrighted material for AI training. (The Flip) Market Performance and Earnings: A review of Micron's recent earnings and market performance, and a look at the overall market trends and AI-related stocks. (Bulls & Bears) NVIDIA's Market Performance: NVIDIA stock climbs to all-time highs & the factors contributing to their success in the AI market. (Bulls & Bears) AI and Market Competition: Multiple winners in the AI chip market and an analysis of potential market share for companies like AMD, NVIDIA, Broadcom, and Marvell. (Bulls & Bears)   For a deeper dive into each topic, please click on the links above. Be sure to subscribe to The Six Five Pod so you never miss an episode.  

A recent paper from OpenAI regarding the classification of Artificial General Intelligence (AGI) has ignited a dispute with Microsoft. The core of the conflict stems from a contractual clause stipulating that Microsoft's access to new OpenAI technology ceases once AGI is achieved. Microsoft seeks to eliminate this clause, fearing exclusion, while OpenAI views it as a valuable bargaining chip. The paper itself defines five levels of AI without definitively classifying AGI, further exacerbating internal tensions between the two entities. Ultimately, OpenAI anticipates imminent AGI realization, a perspective Microsoft does not share.*****************************For more podcasts and videos on motivation and unstoppable momentum, visit: http://futurestrong.org/podcastshttp://futurestrong.org/videosTo build a whole child: https://futurestrong.org/2022/05/06/essential-real-life-skills-to-start-teaching-your-child-at-any-age-video/Learn more about our Digital Lives And Detox HERE: https://futurestrong.org/project/truth-about-tech/For content copyright and disclaimer, please visit: https://futurestrong.org/copyright/** Content Disclaimer ** This podcast has been created with the help of AI, using content from the FutureSTRONG Academy blog library. We're grateful for the insights shared and hope they bring value to your day! #Robotics #AI #ArtificialIntellgence

What if the most powerful technology in human history is being built by people who openly admit they don't trust each other? In this explosive 2-hour debate, three AI experts pull back the curtain on the shocking psychology driving the race to Artificial General Intelligence—and why the people building it might be the biggest threat of all. Kokotajlo predicts AGI by 2028 based on compute scaling trends. Marcus argues we haven't solved basic cognitive problems from his 2001 research. The stakes? If Kokotajlo is right and Marcus is wrong about safety progress, humanity may have already lost control.Sponsor messages:========Google Gemini: Google Gemini features Veo3, a state-of-the-art AI video generation model in the Gemini app. Sign up at https://gemini.google.comTufa AI Labs are hiring for ML Engineers and a Chief Scientist in Zurich/SF. They are top of the ARCv2 leaderboard! https://tufalabs.ai/========Guest PowerhouseGary Marcus - Cognitive scientist, author of "Taming Silicon Valley," and AI's most prominent skeptic who's been warning about the same fundamental problems for 25 years (https://garymarcus.substack.com/)Daniel Kokotajlo - Former OpenAI insider turned whistleblower who reveals the disturbing rationalizations of AI lab leaders in his viral "AI 2027" scenario (https://ai-2027.com/)Dan Hendrycks - Director of the Center for AI Safety who created the benchmarks used to measure AI progress and argues we have only years, not decades, to prevent catastrophe (https://danhendrycks.com/)Transcript: http://app.rescript.info/public/share/tEcx4UkToi-2jwS1cN51CW70A4Eh6QulBRxDILoXOnoTOC:Introduction: The AI Arms Race00:00:04 - The Danger of Automated AI R&D00:00:43 - The Rationalization: "If we don't, someone else will"00:01:56 - Sponsor Reads (Tufa AI Labs & Google Gemini)00:02:55 - Guest IntroductionsThe Philosophical Stakes00:04:13 - What is the Positive Vision for AGI?00:07:00 - The Abundance Scenario: Superintelligent Economy00:09:06 - Differentiating AGI and Superintelligence (ASI)00:11:41 - Sam Altman: "A Decade in a Month"00:14:47 - Economic Inequality & The UBI ProblemPolicy and Red Lines00:17:13 - The Pause Letter: Stopping vs. Delaying AI00:20:03 - Defining Three Concrete Red Lines for AI Development00:25:24 - Racing Towards Red Lines & The Myth of "Durable Advantage"00:31:15 - Transparency and Public Perception00:35:16 - The Rationalization Cascade: Why AI Labs Race to "Win"Forecasting AGI: Timelines and Methodologies00:42:29 - The Case for Short Timelines (Median 2028)00:47:00 - Scaling Limits: Compute, Data, and Money00:49:36 - Forecasting Models: Bio-Anchors and Agentic Coding00:53:15 - The 10^45 FLOP Thought ExperimentThe Great Debate: Cognitive Gaps vs. Scaling00:58:41 - Gary Marcus's Counterpoint: The Unsolved Problems of Cognition01:00:46 - Current AI Can't Play Chess Reliably01:08:23 - Can Tools and Neurosymbolic AI Fill the Gaps?01:16:13 - The Multi-Dimensional Nature of Intelligence01:24:26 - The Benchmark Debate: Data Contamination and Reliability01:31:15 - The Superhuman Coder Milestone Debate01:37:45 - The Driverless Car AnalogyThe Alignment Problem01:39:45 - Has Any Progress Been Made on Alignment?01:42:43 - "Fairly Reasonably Scares the Sh*t Out of Me"01:46:30 - Distinguishing Model vs. Process AlignmentScenarios and Conclusions01:49:26 - Gary's Alternative Scenario: The Neurosymbolic Shift01:53:35 - Will AI Become Jeff Dean?01:58:41 - Takeoff Speeds and Exceeding Human Intelligence02:03:19 - Final Disagreements and Closing RemarksREFS:Gary Marcus (2001) - The Algebraic Mind https://mitpress.mit.edu/9780262632683/the-algebraic-mind/ 00:59:00Gary Marcus & Ernest Davis (2019) - Rebooting AI https://www.penguinrandomhouse.com/books/566677/rebooting-ai-by-gary-marcus-and-ernest-davis/ 01:31:59Gary Marcus (2024) - Taming SV https://www.hachettebookgroup.com/titles/gary-marcus/taming-silicon-valley/9781541704091/ 00:03:01

Today on Elixir Wizards, hosts Sundi Myint and Charles Suggs catch up with Sean Moriarity, co-creator of the Nx project and author of Machine Learning in Elixir. Sean reflects on his transition from the military to a civilian job building large language models (LLMs) for software. He explains how the Elixir ML landscape has evolved since the rise of ChatGPT, shifting from building native model implementations toward orchestrating best-in-class tools. We discuss the pragmatics of adding ML to Elixir apps: when to start with out-of-the-box LLMs vs. rolling your own, how to hook into Python-based libraries, and how to tap Elixir's distributed computing for scalable workloads. Sean closes with advice for developers embarking on Elixir ML projects, from picking motivating use cases to experimenting with domain-specific languages for AI-driven workflows. Key topics discussed in this episode: The evolution of the Nx (Numerical Elixir) project and what's new with ML in Elixir Treating Elixir as an orchestration layer for external ML tools When to rely on off-the-shelf LLMs vs. custom models Strategies for integrating Elixir with Python-based ML libraries Leveraging Elixir's distributed computing strengths for ML tasks Starting ML projects with existing data considerations Synthetic data generation using large language models Exploring DSLs to streamline AI-powered business logic Balancing custom frameworks and service-based approaches in production Pragmatic advice for getting started with ML in Elixir Links mentioned: https://hexdocs.pm/nx/intro-to-nx.html https://pragprog.com/titles/smelixir/machine-learning-in-elixir/ https://magic.dev/ https://smartlogic.io/podcast/elixir-wizards/s10-e10-sean-moriarity-machine-learning-elixir/ Pragmatic Bookshelf: https://pragprog.com/ ONNX Runtime Bindings for Elixir: https://github.com/elixir-nx/ortex https://github.com/elixir-nx/bumblebee Silero Voice Activity Detector: https://github.com/snakers4/silero-vad Paulo Valente Graph Splitting Article: https://dockyard.com/blog/2024/11/06/2024/nx-sharding-update-part-1 Thomas Millar's Twitter https://x.com/thmsmlr https://github.com/thmsmlr/instructorex https://phoenix.new/ https://tidewave.ai/ https://en.wikipedia.org/wiki/BERT(language_model) Talk: PyTorch: Fast Differentiable Dynamic Graphs in Python (https://www.youtube.com/watch?v=am895oU6mmY) by Soumith Chintala https://hexdocs.pm/axon/Axon.html https://hexdocs.pm/exla/EXLA.html VLM (Vision Language Models Explained): https://huggingface.co/blog/vlms https://github.com/ggml-org/llama.cpp Vector Search in Elixir: https://github.com/elixir-nx/hnswlib https://www.amplified.ai/ Llama 4 https://mistral.ai/ Mistral Open-Source LLMs: https://mistral.ai/ https://github.com/openai/whisper Elixir Wizards Season 5: Adopting Elixir https://smartlogic.io/podcast/elixir-wizards/season-five https://docs.ray.io/en/latest/ray-overview/index.html https://hexdocs.pm/flame/FLAME.html https://firecracker-microvm.github.io/ https://fly.io/ https://kubernetes.io/ WireGuard VPNs https://www.wireguard.com/ https://hexdocs.pm/phoenixpubsub/Phoenix.PubSub.html https://www.manning.com/books/deep-learning-with-python Code BEAM 2025 Keynote: Designing LLM Native Systems - Sean Moriarity Ash Framework https://ash-hq.org/ Sean's Twitter: https://x.com/seanmoriarity Sean's Personal Blog: https://seanmoriarity.com/ Erlang Ecosystems Foundation Slack: https://erlef.org/slack-invite/erlef Elixir Forum https://elixirforum.com/ Sean's LinkedIn: https://www.linkedin.com/in/sean-m-ba231a149/ Special Guest: Sean Moriarity.

Key announcements include Meta's creation of a team dedicated to Artificial General Intelligence (AGI) and IBM's ambitious plan to build a large error-corrected quantum computer. The articles also highlight practical applications, such as the UK piloting Google's Gemini AI for infrastructure planning, alongside societal concerns, such as Chinese tech companies freezing AI tools during national exams to prevent cheating and the emergence of AI-driven financial aid scams. Additionally, the texts mention Apple's more cautious approach to AI at WWDC, a partial outage experienced by ChatGPT, and the impact of Google's AI Search features on publisher traffic.

In this episode of the Data Culture Podcast, Carsten Bange speaks with Bostjan Kozuh, an expert in AI strategy and education, about why AI literacy is becoming essential for every organization.

If you were impressed by generative AI such as ChatGPT, then artificial general intelligence or AGI promises to really knock your socks off.Over the past couple of decades, tech companies have been racing to build AGI systems that can match or surpass human capabilities across a whole bunch of tasks.So will AGI save the world — or will it spell the beginning of the end for humanity?

In deze diepgaande aflevering van Techzine Talks duiken Coen, Sander en Erik in de fascinerende wereld van Large Language Models (LLMs). Met de recente lancering van Claude 4 en de gemengde reacties daarop, stellen we de vraag: zijn we aan het einde gekomen van de grote innovatiesprongen in AI, of staan we juist aan het begin van een nieuwe fase? De experts bespreken de huidige stand van zaken, de toekomstverwachtingen en de verschuivende dynamiek in het AI-landschap.Hoofdstukken:00:00 Introductie en welkom 02:15 De lancering van Claude 4 en de mixed reviews 04:30 De verwachtingen van nieuwe LLM versies en versienummering 07:45 Van LLMs naar AGI: een realistisch pad of science fiction? 11:20 De beveiliging van geavanceerde modellen en ethische overwegingen14:45 De groeiende kloof tussen de grote spelers (OpenAI, Anthropic, Google) en de rest 18:10 De evolutie naar kleinere, efficiëntere modellen met betere prestaties21:30 Domeinspecifieke modellen versus foundation models: wie wint?24:00 De integratiefase en de opkomst van AI Agents 26:45 OpenAI's Stargate project en nieuwe hardware-ontwikkelingen28:30 Persoonlijke AI-assistenten: de volgende stap in AI-evolutie? 31:00 Afsluiting en vooruitblikBesproken onderwerpen:- De teleurstellende eerste reacties op Claude 4 en wat dit betekent voor de toekomst van LLMs- Hoe versienummering van modellen (3, 3.5, 4, etc.) verwachtingen creëert en beïnvloedt- Het verschil tussen incrementele verbeteringen en baanbrekende innovaties in AI- De evolutie van het AGI-concept (Artificial General Intelligence) en de realistische verwachtingen- Beveiligingsproblemen bij geavanceerde modellen, zoals het voorbeeld van afpersingsgedrag- De consolidatie van het veld rond drie grote spelers: OpenAI, Anthropic en Google- Hoe modellen kleiner maar krachtiger worden en wat dit betekent voor de toegankelijkheid- De opkomst van gespecialiseerde modellen voor specifieke toepassingen zoals medische zorg- AI Agents als de volgende grote innovatiestap en de uitdagingen die daarbij komen kijken- OpenAI's infrastructuuruitbreiding en hardware-ambities met Jony Ive- De toekomst van persoonlijke AI-assistenten en hun integratie in ons dagelijks leven#LLM #AI #ArtificialIntelligence #Claude4 #GPT4 #Anthropic #OpenAI #Google #AIAgents #AGI #TechPodcast #AIInnovatie #MachineLearning #TechzienTalks #EnterpriseIT #ToekomstVanAI #AIOntwikkeling #AIEfficiency #AIModellen #AIAssistenten #NederlandseAI #TechTrends #AIIntegratie #FoundationModels #AIVoorBedrijven #EfficiënteAI #AIBenchmarks #NLTech #TechExpertise #AIEcosysteemBezoek Techzine.nl voor meer diepgaande analyses en vergeet niet te abonneren voor wekelijkse updates over de nieuwste ontwikkelingen in enterprise technologie! Laat een reactie achter met jouw gedachten over de toekomst van LLMs en AI-ontwikkeling.Deze aflevering is een must-listen voor iedereen die geïnteresseerd is in de huidige staat en toekomstige richting van AI-technologie, of je nu een technologie-professional bent of gewoon nieuwsgierig naar hoe AI onze wereld zal blijven veranderen.

Few technological advances have made the kind of splash –– and had the potential long-term impact –– that ChatGPT did in November 2022. It made a nonprofit called OpenAI and its CEO, Sam Altman, household names around the world. Today, ChatGPT is still the world's most popular AI Chatbot; OpenAI recently closed a $40 billion funding deal, the largest private tech deal on record. But who is Sam Altman? And was it inevitable that OpenAI would become such a huge player in the AI space? Kara speaks to two fellow tech reporters who have tackled these questions in their latest books: Keach Hagey is a reporter at The Wall Street Journal. Her book is called “The Optimist: Sam Altman, OpenAI and the Race to Reinvent the Future.” Karen Hao writes for publications including The Atlantic and leads the Pulitzer Center's AI Spotlight Series. Her book is called “Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI.” They speak to Kara about Altman's background, his short firing/rehiring in 2023 known as “The Blip”, how Altman used OpenAI's nonprofit status to recruit AI researchers and get Elon Musk on board, and whether OpenAI's mission is still to reach AGI, artificial general intelligence. Questions? Comments? Email us at on@voxmedia.com or find us on Instagram, TikTok, and Bluesky @onwithkaraswisher. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this installment, Daniel and Tom push deeper into the roots of economic anxiety, the morality of money printing, the logic (and danger) of debt, and why the “Monopoly game” always ends in revolution, collapse, or war. They ask what it will really take to avoid history's bloodiest outcomes — and whether the solutions are personal, systemic, or already out of reach. SHOWNOTES43:12 Why money printing is immoral — and also unavoidable52:09 Why the end of the “Monopoly game” means collapse, war, or revolution54:26 Why emotional arguments win — but don't provide answers55:26 Is there any bloodless way out of our current economic predicament?56:04 The dual systems: Industrial age in decline, digital age on the rise59:03 Chess, cards, and elite training simulations (the structure of society)1:10:03 The baby boom, housing inflation, and the demographic crunch1:14:02 Bell curve economics vs. power law distribution1:15:43 Why money printing makes “saving your way up” impossible1:16:48 Agency, intelligence, inflation and who gets ahead1:26:40 Adam Smith, self-interest, and how the invisible hand really works1:30:06 Authoritarianism, top-down fear, and the dangers of utopian “rescue” plans1:41:25 Artificial General Intelligence, wide access, and the dawn of creative superpowers1:46:13 Creation vs. consumption — the fork in the road for personal success1:50:13 Why future careers will be plural, fast, creative loops1:54:02 Will most people embrace agency, or get left behind by hyperloops? CONNECT WITH DANIEL PRIESTLEYInstagram: https://www.instagram.com/danielpriestley/LinkedIn: https://www.linkedin.com/in/danielpriestley/Twitter/X: https://twitter.com/DanielPriestleyWebsite: https://www.danielpriestley.com CHECK OUT OUR SPONSORS Vital Proteins: Get 20% off by going to ⁠https://www.vitalproteins.com⁠ and entering promo code IMPACT at check out Monarch Money: Use code THEORY at ⁠https://monarchmoney.com⁠ for 50% off your first year! Shopify: Sign up for your one-dollar-per-month trial period at ⁠https://shopify.com/impact⁠ Netsuite: Download the CFO's Guide to AI and Machine Learning at ⁠https://NetSuite.com/THEORY⁠ iTrust Capital: Use code IMPACTGO when you sign up and fund your account to get a $100 bonus at ⁠https://www.itrustcapital.com/tombilyeu⁠  Mint Mobile: If you like your money, Mint Mobile is for you. Shop plans at ⁠https://mintmobile.com/impact.⁠  DISCLAIMER: Upfront payment of $45 for 3-month 5 gigabyte plan required (equivalent to $15/mo.). New customer offer for first 3 months only, then full-price plan options available. Taxes & fees extra. See MINT MOBILE for details. What's up, everybody? It's Tom Bilyeu here: If you want my help... STARTING a business:⁠ join me here at ZERO TO FOUNDER⁠ SCALING a business:⁠ see if you qualify here.⁠ Get my battle-tested strategies and insights delivered weekly to your inbox:⁠ sign up here.⁠ ********************************************************************** If you're serious about leveling up your life, I urge you to check out my new podcast,⁠ Tom Bilyeu's Mindset Playbook⁠ —a goldmine of my most impactful episodes on mindset, business, and health. Trust me, your future self will thank you. ********************************************************************** LISTEN TO IMPACT THEORY AD FREE + BONUS EPISODES on APPLE PODCASTS:⁠ apple.co/impacttheory⁠ ********************************************************************** FOLLOW TOM: Instagram:⁠ https://www.instagram.com/tombilyeu/⁠ Tik Tok:⁠ https://www.tiktok.com/@tombilyeu?lang=en⁠ Twitter:⁠ https://twitter.com/tombilyeu⁠ YouTube:⁠ https://www.youtube.com/@TomBilyeu⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

How much could our relationship with technology change by 2027? In the last few years, new artificial intelligence tools like ChatGPT and DeepSeek have transformed how we think about work, creativity, even intelligence itself. But tech experts are ringing alarm bells that powerful new AI systems that rival human intelligence are being developed faster than regulation, or even our understanding, can keep up with. Should we be worried? On the GZERO World Podcast, Ian Bremmer is joined by Daniel Kokotajlo, a former OpenAI researcher and executive director of the AI Futures Project, to discuss AI 2027—a new report that forecasts AI's progression, where tech companies race to beat each other to develop superintelligent AI systems, and the existential risks ahead if safety rails are ignored. AI 2027 reads like science fiction, but Kokotajlo's team has direct knowledge of current research pipelines. Which is exactly why it's so concerning. How will artificial intelligence transform our world and how do we avoid the most dystopian outcomes? What happens when the line between man and machine disappears altogether? Host: Ian BremmerGuest: Daniel Kokotajlo Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts, Spotify, or your preferred podcast platform, to receive new episodes as soon as they're published.

How much could our relationship with technology change by 2027? In the last few years, new artificial intelligence tools like ChatGPT and DeepSeek have transformed how we think about work, creativity, even intelligence itself. But tech experts are ringing alarm bells that powerful new AI systems that rival human intelligence are being developed faster than regulation, or even our understanding, can keep up with. Should we be worried? On the GZERO World Podcast, Ian Bremmer is joined by Daniel Kokotajlo, a former OpenAI researcher and executive director of the AI Futures Project, to discuss AI 2027—a new report that forecasts AI's progression, where tech companies race to beat each other to develop superintelligent AI systems, and the existential risks ahead if safety rails are ignored. AI 2027 reads like science fiction, but Kokotajlo's team has direct knowledge of current research pipelines. Which is exactly why it's so concerning. How will artificial intelligence transform our world and how do we avoid the most dystopian outcomes? What happens when the line between man and machine disappears altogether? Host: Ian BremmerGuest: Daniel Kokotajlo Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts, Spotify, or your preferred podcast platform, to receive new episodes as soon as they're published.

Something doesn't smell right about generative AI. Earlier this week, we had a featuring a former Google researcher who described large language models (LLMs) as a “con”. Then, of course, there's OpenAI CEO Sam Altman who critics both inside and outside OpenAI, see as a little more than a persuasive conman. Scam or not, the biggest technical problem with LLMs, according to Peter Vos, who invented the term Artificial General Intelligence (AGI), is that it lacks memory and thus are inherently incapable of incremental learning. Voss, the current CEO of Aigo.ai, argues that LLMs therefore represent a technological “dead end” for AI. The industry, Voss argues, has gone “fundamentally wrong” with generative AI. It's a classic economic mania, he says. And, as with all bubbles in the past - like Dutch tulips, internet DotComs or Japanese real-estate - it will eventually burst with devastating consequences. Peter Voss is a pioneer in AI who coined the term 'AGI' (Artificial General Intelligence) in 2001. As an engineer, scientist, inventor, and serial entrepreneur, he developed a comprehensive ERP package, growing his company from zero to a 400-person IPO in seven years. For the past 20 years, he has studied intelligence and AI, leading to the creation of the Aigo engine, a proto-AGI natural language intelligence that is revolutionizing call centers and advancing towards human-level intelligence.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting the daily KEEN ON show, he is the host of the long-running How To Fix Democracy interview series. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On America is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

Emily and Alex pore through an elaborate science fiction scenario about the "inevitability" of Artificial General Intelligence or AGI by the year 2027 - which rests atop a foundation of TESCREAL nonsense, and Sinophobia to boot.References:AI 2027Fresh AI Hell:AI persona bots for undercover copsPalantir heart eyes Keir StarmerAnti-vaxxers are grifting off the measles outbreak with AI-formulated supplementsThe cost, environmental and otherwise, of being polite to ChatGPTActors who sold voice & likeness find it used for scamsAddictive tendencies and ChatGPT (satire)Check out future streams at on Twitch, Meanwhile, send us any AI Hell you see.Our book, 'The AI Con,' comes out in May! Pre-order now.Subscribe to our newsletter via Buttondown. Follow us!Emily Bluesky: emilymbender.bsky.social Mastodon: dair-community.social/@EmilyMBender Alex Bluesky: alexhanna.bsky.social Mastodon: dair-community.social/@alex Twitter: @alexhanna Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

OpenAI is making moves to go public. Apple and Anthropic are teaming up for vibe coding. And Google is quietly continuing its dominance with a quiet update to the world's most powerful AI model.Once again, the big names are shaking up the AI space. Don't burn hours a day trying to keep up. Spend your Mondays with Everyday AI and our weekly 'AI News that Matters' segment. You'll be the smartest person in AI at your company.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic and Apple AI PartnershipApple AI Coding with Anthropic's ClaudeOpenAI's Wind Surf AcquisitionAI Search Engines in Apple's SafariOpenAI and FDA Drug Approval TalksGoogle Gemini 2.5 Pro IO EditionAmazon AI Coding Tool KiroOpenAI's Nonprofit Control DecisionTimestamps:00:00 "Everyday AI: Podcast and Newsletter"03:44 Apple Eyes External AI Partnerships07:12 OpenAI's Wind Surf Acquisition Disrupts Coding10:28 Windsurf Model Selection and Future14:24 Apple's AI Search Engine Shift20:45 FDA-OpenAI AI Drug Approval Talks22:50 AI Literacy Challenges27:14 "Gemini 2.5 Pro Unveiled"31:27 Advanced AI Coding Tools Emerging34:50 OpenAI Governance and Structure Shift36:50 OpenAI-Microsoft Partnership Revamp Talks42:40 Tech Giants Shake Up AI LandscapeKeywords:Anthropic, Apple, Vibe coding, Google Gemini, 2.5 pro IO edition, OpenAI, Microsoft partnership, IPO, Artificial General Intelligence, AI coding models, Claude SONNET, Swift Assist, Anthropic's Claude, Wind Surf, $3 billion acquisition, AI IDE, Race car driver analogy, AI search engines, Safari, Perplexity AI, ChatGPT, Search engine market, FDA, Drug approval process, AI-assisted scientific review, Google IO edition, Web dev arena leaderboard, Amazon Web Services, AI-powered code generation, Kiro, Multimodal capabilities, OpenAI nonprofit arm, Public Benefits Corporation, Equity stake, Microsoft partnership renegotiation, $13 billion investment, SoftBank, Oracle, Stargate projectSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

AI is jumping from one hype cycle to another. First, it was simple AI, then came Generative AI, and currently, we are reeling from Agentic AI. The new term is already lurking—Artificial General Intelligence (AGI).  Actually, AGI is pretty old, dating back to the early 2000s. What is it, and why is it gathering attention now? I talk to the person who came up with the very term--Peter Voss, CEO & Chief Scientist at Aigo.ai. We delve into how AGI mimics human learning functions, how it differs from Gen AI, why it is cost- and power-efficient by orders of magnitude, whether today's Gen AI can evolve into AGI, and more. We also discuss whether AGI's human-like learning can create cyborgs and Skynet.

Scholarship Form Link - https://bit.ly/tallyform_scholarshipWebsite - https://bit.ly/data_science_aiCheck out BeerBiceps SkillHouse's Designing For Clicks Course - https://bbsh.co.in/ra-yt-vid-dfcShare your guest suggestions hereLink - https://shorturlbe.lvl.fit/install/3vcgss3vBeerBiceps SkillHouse को Social Media पर Follow करे :-YouTube : https://www.youtube.com/channel/UC2-Y36TqZ5MH6N1cWpmsBRQ Instagram : https://www.instagram.com/beerbiceps_skillhouseWebsite : https://beerbicepsskillhouse.inFor any other queries EMAIL: support@beerbicepsskillhouse.comIn case of any payment-related issues, kindly write to support@tagmango.comLevel Supermind - Mind Performance App को Download करिए यहाँ से

Motheo Khoaripe speaks to Richard Mulholland, founder of AI agency Too Many Robots, and author of Relentless Relevance about the potential implications of artificial general intelligence and whether humanity's understanding of intelligence is overly narrow. The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape.Thank you for listening to The Money Show podcast.Listen live - The Money Show with Stephen Grootes is broadcast weekdays between 18:00 and 20:00 (SA Time) on 702 and CapeTalk.There’s more from the show at www.themoneyshow.co.zaSubscribe to the Money Show daily and weekly newslettersThe Money Show is brought to you by Absa.Follow us on:702 on Facebook: www.facebook.com/TalkRadio702702 on TikTok: www.tiktok.com/@talkradio702702 on Instagram: www.instagram.com/talkradio702702 on X: www.x.com/Radio702702 on YouTube: www.youtube.com/@radio702CapeTalk on Facebook: www.facebook.com/CapeTalkCapeTalk on TikTok: www.tiktok.com/@capetalkCapeTalk on Instagram: www.instagram.com/capetalkzaCapeTalk on YouTube: www.youtube.com/@CapeTalk567CapeTalk on X: www.x.com/CapeTalk See omnystudio.com/listener for privacy information.

AI is coming for our jobs, the environment, and is even starting to stand-in for human creativity. Derek Allen, Sam Kirchner and Varvara Pavlova are part of the newly formed direct action group Stop AI, which is particularly concerned about the existential threat of Artificial General Intelligence and the potential for robots to outsmart humans, which Sam Altman, CEO of OpenAI, says is coming this year. Stop AI https://www.stopai.info/ 
"Lavender: The AI machine directing Israel's bombing spree in Gaza" (Yuval Abraham, +972 Magazine) https://www.972mag.com/lavender-ai-israeli-army-gaza/ Brian Merchant's book "Blood in the Machine: The Origins of the Rebellion Against Big Tech" covers the history of the Luddite movement https://sfpl.bibliocommons.com/v2/record/S93C5986948 Support us and find links to our past episodes: patreon.com/sadfrancisco  

Support Grassroots Journalism and Trends AnalysisAll links here: https://linktr.ee/shepardambellasIn this explosive episode of the Shepard Ambellas Show, investigative journalist Shepard Ambellas dives deep into the looming threat of Artificial General Intelligence (AGI) and its potential to spark a war against humanity as early as 2026. With experts like Anthropic's CEO Dario Amodei predicting AGI's arrival by 2026-2027, and Google DeepMind's research warning of existential risks, the clock is ticking. Shepard explores how AGI could surpass human intelligence, the military implications of autonomous AI systems, and the chilling possibility of a global conflict driven by misaligned AI goals. Are governments and tech giants prepared, or are we on the brink of a doomsday scenario? Tune in for hard-hitting analysis, exclusive insights, and what you need to know to survive the coming storm. Don't forget to like, subscribe, and hit the notification bell for daily updates! Share your thoughts in the comments—how are the tariffs affecting you?About the Show:The Shepard Ambellas Show is an electrifying and fast-paced program that features a blend of news and comedy. It has been ranked as high as #66 on US podcast charts, making it one of the most popular shows. You can catch the live broadcast daily at 7 pm Eastern/6 pm Central on the Shepard Ambellas YouTube channel, where Shep and other listeners are waiting to engage with you. If you miss the live show, don't worry - you can always catch up on Apple Podcasts or Spotify. So what are you waiting for? Tune in now and experience the excitement for yourself!Shepard Ambellas is a renowned investigative journalist, trends analyst, filmmaker, and founder of the famed Intellihub news website. With over 6,000 published reports and appearances on platforms like the Travel Channel's America Declassified, Coast to Coast AM with George Noory, and The Alex Jones Show, Ambellas has established himself as a fearless truth-seeker. His critically acclaimed documentary Shackled to Silence exposed hidden agendas behind the global pandemic, cementing his reputation as a bold voice against the status quo.

This episode is sponsored by Thuma. Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details. To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai   Can AI Ever Reach AGI? Pedro Domingos Explains the Missing Link In this episode of Eye on AI, renowned computer scientist and author of The Master Algorithm, Pedro Domingos, breaks down what's still missing in our race toward Artificial General Intelligence (AGI) — and why the path forward requires a radical unification of AI's five foundational paradigms: Symbolists, Connectionists, Bayesians, Evolutionaries, and Analogizers.   Topics covered: Why deep learning alone won't achieve AGI How reasoning by analogy could unlock true machine creativity The role of evolutionary algorithms in building intelligent systems Why transformers like GPT-4 are impressive—but incomplete The danger of hype from tech leaders vs. the real science behind AGI What the Master Algorithm truly means — and why we haven't found it yet Pedro argues that creativity is easy, reliability is hard, and that reasoning by analogy — not just scaling LLMs — may be the key to Einstein-level breakthroughs in AI.   Whether you're an AI researcher, machine learning engineer, or just curious about the future of artificial intelligence, this is one of the most important conversations on how to actually reach AGI.    

IN CLEAR FOCUS: Strategic foresight consultants Scott Smith and Susan Cox-Smith discuss Foom, an immersive strategic simulation for exploring AI futures. Unlike static scenario planning, Foom creates environments where teams experience real-time consequences of decisions. As participants navigate progress toward Artificial General Intelligence, this "escape room for strategy" reveals insights about decision-making, coalition-building, and managing uncertainty in emerging technology landscapes.

AI Is Changing Real Estate—But Who Wins? In Episode 92 of Drunk Real Estate, we're joined by AI expert and investor Robb Almy to break down how artificial intelligence is already reshaping real estate. From automated investing to property analysis, AI is creating massive opportunities—and big risks. Are small investors being left behind? Is AI deflationary or the cure for labor shortages? And how close are we really to Artificial General Intelligence (AGI)? We cover it all—plus a wild economic ride that includes tariffs, rare earth minerals, China, and a shaky market reaction.

What happens when AI moves beyond convincing chatbots and custom image generators to something that matches—or outperforms—humans?Each week, tech companies trumpet yet another advance in artificial intelligence, from better chat services to image and video generators that spend less time in the uncanny valley. But the holy grail for AI companies is known as AGI, or artificial general intelligence—a technology that can meet or outperform human capabilities on any number of tasks, not just chat or images.The roadmap and schedule for getting to AGI depends on who you talk to and their precise definition of AGI. Some say it's just around the corner, while other experts point a few years down the road. In fact, it's not entirely clear whether current approaches to AI tech will be the ones that yield a true artificial general intelligence.Hosts Ira Flatow and Flora Lichtman talk with Will Douglas Heaven, who reports on AI for MIT Technology Review; and Dr. Rumman Chowdhury, who specializes in ethical, explainable and transparent AI, about the path to AGI and its potential impacts on society.Transcripts for each segment will be available after the show airs on sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

1. Concerns About AGI DevelopmentDeepMind's 108-page report outlines four major risks of Artificial General Intelligence (AGI):Misuse: AGI used maliciously (e.g., creating viruses).Misalignment: AGI acting contrary to intended goals.Mistakes: Errors causing unintended harm, especially in high-stakes sectors like defense.Structural Risks: Long-term impacts on trust, power, and truth in society. While safety measures are urged, full control of AGI remains uncertain.2. Improving Machine Learning SecurityThe open-source community is adopting model signing (via Sigstore), applying digital signatures to AI models. This ensures the model's authenticity and integrity—helping prevent the use of tampered or untrusted code in AI systems.3. Risks from AI Coding AssistantsA newly identified threat—Rules File Backdoor—allows attackers to embed malicious instructions in configuration files used by AI coding assistants (like GitHub Copilot or Cursor). This can lead to AI-generated code with hidden vulnerabilities, increasing risk through shared or open-source repos.4. Italy's Controversial Piracy ShieldPiracy Shield, Italy's system for blocking pirated content, has mistakenly blacklisted legitimate services like Google Drive. Critics highlight issues around lack of transparency, violations of net neutrality and digital rights, and risks of censorship. Despite backlash, the system is being expanded, raising further concerns.5. EU's Push on Data Access and EncryptionThe EU's ProtectEU strategy includes strengthening Europol into a more FBI-like agency and proposing roadmaps for law enforcement access to encrypted data. This indicates a potential push toward backdoor access, reigniting debates on privacy vs. security.6. Cyberattacks on Australian Pension FundsCoordinated cyberattacks have compromised over 20,000 accounts across Australian retirement funds, with some user savings stolen. The incidents expose vulnerabilities in financial infrastructure, prompting a government initiative to bolster sector-wide cybersecurity.7. Lessons from Oracle's Security BreachesOracle reported two separate breaches in a short span. The latest involved theft of outdated login credentials. These incidents reveal persistent challenges in securing large tech platforms and highlight the need for ongoing security improvements and scrutiny of legacy systems.8. Closure of OpenSNP Genetic DatabaseOpenSNP is shutting down after 14 years, deleting all user data due to rising concerns over misuse of genetic data, especially amid growing political threats from authoritarian regimes. The founder emphasized protecting vulnerable populations and reevaluated the risks of continued data availability versus its research value.

EP 237. DeepMind just released a 108-page manual on not getting wiped out by our own invention.  Highlighting the fact that planning for an AI apocalypse could now be a core business line function.Sigstore machine learning model signing - AI models are finally getting digital signatures, because “mystery code from the internet” just wasn't a scalable trust strategy.Turns out your AI  programmer can be tricked into writing malware.  Helping us understand that “copilot” isn't necessarily synonymous with “competent”.Italy's anti-piracy tool is blocking legit services like it's playing "whack-a-mole" blindfolded, but in this case the moles are  cloud storage, like your Google drive.The EU wants Europol to act like the FBI because privacy for our citizens is important, except when we want to read their encrypted messages.Hackers hit Aussie retirement funds, proving the only thing scarier than blowing through all your retirement money is someone else blowing through it all for you.Oracle's been hacked again—because who doesn't love a sequel with worse security and a bigger cleanup bill?OpenSNP just quit the internet after realizing DNA + authoritarian vibes = one dystopia too many.This week is a wild ride, so saddle up and hold on tight!

For episode 504, CEO Leslie joins Brandon Zemp to talk about Qubic, A decentralized network where scalability meets AGI, built from the ground up to surpass traditional blockchains.Qubic enables instant finality, feeless transactions, and the fastest smart contracts. Built on Useful Proof of Work (UPoW), it’s the first to integrate artificial neural networks for the future of Artificial General Intelligence.Qubic is fully open source from day one. Every development, every improvement, and every innovation is transparent, accessible, and community-driven.

The future of AI is arriving faster than most are ready for.  In this kickoff episode of thr Road to AGI (and Beyond), Paul Roetzer shares why Artificial General Intelligence (AGI) may be only a few years away, why the definition of AGI itself is a moving target, and how leaders can prepare for profound disruption—sooner than they think.  Access the show notes and show links here Timestamps: 00:01:08 — Origins of the Series 00:11:17 — The Pursuit of AGI 00:14:51 — What is AGI? 00:22:15 — What's Beyond AGI? Artificial Superintelligence 00:32:20 — Setting the Stage for AGI and Beyond 00:40:54 — The AI Timeline v2 00:51:25 — LLM Advancements (2025) 00:59:26 — Multimodal AI Explosion (2025 - 2026) 01:03:53 — AI Agents Explosion (2025 - 2027) 01:10:46 — Robotics Explosion (2026 - 2030) 01:14:50 — AGI Emergence (2027 - 2030) 01:17:56 — What's Changed? 01:21:10 — What Accelerates AI Progress? 01:24:53 — What Slows AI Progress? 01:31:06 — How Can You Prepare? 01:38:49 — What's Next for the Series? 01:40:17 — Closing Thoughts Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in AI Academy

The rapidly evolving geopolitical landscape of recent years can be hard to follow. With economic conflicts between global superpowers and violent clashes across multiple continents, today's events can seem starkly different from the trajectory of past decades. So, how can a deeper understanding of energy and resource security help us make sense of these chaotic trends? In this discussion, Nate is joined by Art Berman, Michael Every, and Izabella Kaminska for a broad exploration of the complex relationship between energy, geopolitics, and economic strategy. Together, they provide valuable insights into the consequences of deindustrialization, the impact of military spending, and the urgent need to reassess strategies as resources dwindle and geopolitical tensions rise. How is the use of fear as a political tool intertwined with the challenges of trust and disinformation in navigating turbulent international conflicts? What role is the race for Artificial General Intelligence and Quantum Computing playing in these rapidly changing situations? And ultimately, what should we, as citizens, be expecting from our leaders at the global stage as the struggle for power in the 21st century continues to intensify?  (Conversation recorded on March 10th, 2025)   About the Guests:  Arthur E. Berman is a petroleum geologist with over 40 years of oil and gas industry experience. He is an expert on U.S. shale plays and is currently consulting for several E&P companies and capital groups in the energy sector. Michael Every is Global Strategist at Rabobank Singapore analyzing major developments and key thematic trends, especially on the intersection of geopolitics, economics, and markets. He is frequently published and quoted in financial media, is a regular conference keynote speaker, and was invited to present to the 2022 G-20 on the current global crisis.  Izabella Kaminska is the founding editor of The Blind Spot, a finance and business news website. She is also senior finance editor at POLITICO. Izabella was previously editor of the Financial Times' Alphaville blog, and an associate producer at CNBC.    Show Notes and More Watch this video episode on YouTube   Want to learn the broad overview of The Great Simplification in 30 minutes? Watch our Animated Movie.   ---   Support The Institute for the Study of Energy and Our Future Join our Substack newsletter Join our Discord channel and connect with other listeners  

Today, we're talking artificial intelligence, multifamily efficiency, and the future of thinking machines.Mike Brewer shares insights from A Thousand Brains: A New Theory of Intelligence by Jeff Hawkins—a book that explores how AI today is far from true human intelligence. Right now, AI solves specific, pointy problems—automating tasks, streamlining workflows—but we're still miles away from Artificial General Intelligence (AGI) that truly thinks like a human.

For more than two decades, The City Club of Cleveland has hosted the annual High School Debate Championship.rnrnEvery year, the top two area high school debaters square off in a classic "Lincoln-Douglas" style debate at a Friday forum. This allows the debaters to compete-not only for the judges and audience in the room-but also for our radio and television audiences.rnrnThe finalists will debate the topic Resolved: The development of Artificial General Intelligence is immoral.rnrnOn behalf of BakerHostetler, we are honored to support this annual tradition in memory of Patrick Jordan--a lawyer, fierce protector of democracy and free speech, and a championship debater himself. You can learn more about the life and legacy of Pat Jordan at the 2022 High School Debate Championship here, or read the transcript here.

Michael and Abadesi are back for this week's Techish! Abadesi shares the highs and lows of writing and producing her first play, including crowdfunding on Kickstarter. They also chat about Google's push for 60-hour workweeks in the race to Artificial General Intelligence (AGI), why entrepreneurship is now all about distribution, and how social media is shaping the publishing industry. Chapters 00:00 Fundraising on Kickstarter 03:48 Google Pushes 60-Hour Workweeks In AI Race 09:51 Corporate Bosses Hate Their Home Lives? 15:48 Vibe Coding And Why Audience Wins in Business 19:53 Social Media Has Changed The Publishing Industry  Extra reading & resources Google's Sergey Brin Urges Workers to the Office ‘at Least' Every Weekday [The New York Times] This Game Created by AI 'Vibe Coding' Makes $50,000 a Month. Yours Probably Won't [404 Media]https://fly.pieter.com/How #BookTok is changing literature [The New Statesman]————————————————————Disclaimer: The information provided in this podcast episode represents the personal opinions and experiences of the presenters and is for informational and entertainment purposes only. It should not be considered professional advice. Neither host nor guests can be held responsible for any direct or incidental loss incurred by applying any of the information. Always do your own research or seek independent advice before making any decisions. ———————————————————— Watch us on YouTube: https://www.youtube.com/@techishpod/Support Techish at https://www.patreon.com/techishAdvertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2————————————————————Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com...

We're experimenting and would love to hear from you!In this episode of ‘Discover Daily' by Perplexity, we delve into the latest developments in tech and geopolitics. OpenAI is set to revolutionize its business model with the introduction of advanced AI agents, offering monthly subscription plans ranging from $2,000 to $20,000. These agents are designed to perform complex tasks autonomously, leveraging advanced language models and decision-making algorithms. This move is supported by a significant $3 billion investment from SoftBank, highlighting the potential for these agents to contribute significantly to OpenAI's future revenue.The Pacific island nation of Nauru is also making headlines with its controversial 'golden passport' scheme. For $105,000, individuals can gain citizenship and visa-free access to 89 countries. This initiative aims to fund Nauru's climate change mitigation efforts, as the island faces existential threats from rising sea levels. However, the program raises ethical concerns about criminal exploitation, vetting issues, and the commodification of national identity. As Nauru navigates these challenges, it will be crucial to monitor the program's effectiveness in providing necessary funds for climate adaptation without compromising national security or ethical standards.Our main story focuses on former Google CEO Eric Schmidt's opposition to a U.S. government-led 'Manhattan Project' for developing Artificial General Intelligence (AGI). Schmidt argues that such a project could escalate international tensions and trigger a dangerous AI arms race, particularly with China. Instead, he advocates for a more cautious approach, emphasizing defensive strategies and international cooperation in AI advancement. This stance reflects a growing concern about the risks of unchecked superintelligence development and highlights the need for policymakers and tech leaders to prioritize AI safety and collaboration.From Perplexity's Discover Feed:https://www.perplexity.ai/page/openai-s-20000-ai-agent-nvz8rzw7TZ.ECGL9usO2YQhttps://www.perplexity.ai/page/nauru-sells-citizenship-for-re-mWT.fYg_Su.C7FVaMGqCfQhttps://www.perplexity.ai/page/eric-schmidt-opposes-agi-manha-pymGB79nR.6rRtLvcqONIA **Introducing Perplexity Deep Research:**https://www.perplexity.ai/hub/blog/introducing-perplexity-deep-research Perplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

Artificial intelligence is starting to underpin everything we do, whether we like it or not. And at the highest levels, companies like Google and Open AI are saying their AI is on the verge of crossing a humanlike threshold that we’ve only seen in science fiction. This is prompting all kinds of conversations about sentience and the possible dangers of a superintelligent computer system. But the definition of “Artificial General Intelligence,” or AGI, is controversial. And many researchers aren’t even sure today’s programs have our common understanding of “intelligence” at all. They argue ChatGPT isn’t really thinking -- it's just really good at predicting the next sequence in a pattern (and copying someone else along the way). So what makes something intelligent? Or alive, for that matter? For Google’s Blaise Agüera y Arcas, the most interesting piece of examining AI breakthroughs has been how they connect to the evolution of life on earth. In his new book, What is Life? he argues for a broadened definition of “intelligence,” to include things like single celled organisms and even basic tools. And he says humans’ development of technology -- most recently, AI -- is part of a long history of symbiotic relationships that have pushed our evolution forward. Guests: Blaise Agüera y Arcas, Vice President and CTO of Technology and Society at Google, where he leads a team called “Paradigms of Intelligence” researching the intersection of AI, biology, and philosophy. Author of What is Life, the first part of a broader work on intelligence at large. Related Links: What is Intelligence? | Antikythera Thank you to the supporters of KUOW, you help make this show possible! If you want to help out, go to kuow.org/donate/soundsidenotes Soundside is a production of KUOW in Seattle, a proud member of the NPR Network.See omnystudio.com/listener for privacy information.

Are we truly on the brink of Artificial General Intelligence (AGI)? Or are we underestimating how unprepared we are for what's coming?In this episode of Leveraging AI, we dive into the latest AI breakthroughs, the geopolitical arms race for AI supremacy, and the government's struggle to keep up. With insights from top AI policy advisors and newly released research from Eric Schmidt, Dan Hendricks, and Alexander Wang, we break down what's at stake and why business leaders must pay attention now.Key Takeaways from This Episode:The government knows AGI is coming—but is it doing enough to prepare?China vs. the U.S.: The high-stakes battle for AI dominance and what it means for global power.Superintelligence strategy: How AI safety experts see the future (and why it sounds like a sci-fi thriller).AI's impact on business & jobs: Will automation lead to mass displacement or massive opportunities?AI agents, humanoid robots & the changing internet: Why businesses need to rethink their digital strategies NOW.Links & Resources Mentioned: 

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more. Can AI learn like humans? In this episode, Patrick Pilarski, Canada CIFAR AI Chair and professor at the University of Alberta, breaks down The Alberta Plan—a bold roadmap for achieving Artificial General Intelligence (AGI) through reinforcement learning and real-time experience-based AI. Unlike large pre-trained models that rely on massive datasets, The Alberta Plan champions continual learning, where AI evolves from raw sensory experience, much like a child learning through trial and error. Could this be the key to unlocking true intelligence? Pilarski also shares insights from his groundbreaking work in bionic medicine, where AI-powered prosthetics are transforming human-machine interaction. From neuroprostheses to reinforcement learning-driven robotics, this conversation explores how AI can enhance—not just replace—human intelligence. What You'll Learn in This Episode: Why reinforcement learning is a better path to AGI than pre-trained models The four core principles of The Alberta Plan and why they matter How AI-driven bionic prosthetics are revolutionizing human-machine integration The battle between reinforcement learning and traditional control systems in robotics Why continual learning is critical for AI to avoid catastrophic forgetting How reinforcement learning is already powering real-world breakthroughs in plasma control, industrial automation, and beyond The future of AI isn't just about more data—it's about AI that thinks, adapts, and learns from experience. If you're curious about the next frontier of AI, the rise of reinforcement learning, and the quest for true intelligence, this episode is a must-watch. Subscribe for more AI deep dives! (00:00) The Alberta Plan: A Roadmap to AGI   (02:22) Introducing Patrick Pilarski (05:49) Breaking Down The Alberta Plan's Core Principles   (07:46) The Role of Experience-Based Learning in AI   (08:40) Reinforcement Learning vs. Pre-Trained Models   (12:45) The Relationship Between AI, the Environment, and Learning   (16:23) The Power of Reward in AI Decision-Making   (18:26) Continual Learning & Avoiding Catastrophic Forgetting   (21:57) AI in the Real World: Applications in Fusion, Data Centers & Robotics   (27:56) AI Learning Like Humans: The Role of Predictive Models   (31:24) Can AI Learn Without Massive Pre-Trained Models?   (35:19) Control Theory vs. Reinforcement Learning in Robotics   (40:16) The Future of Continual Learning in AI   (44:33) Reinforcement Learning in Prosthetics: AI & Human Interaction   (50:47) The End Goal of The Alberta Plan  

Join us from Mobile World Congress 2025 in Barcelona, where the TruNews team dives into AI, human integration, and the rapid shift in global technology. Ray Kurzweil predicts Artificial General Intelligence (AGI) by 2029 and full AI-human integration by the 2030s—but what does this mean for you?Rick Wiles, Doc Burkhart, Paul Benson, Erick Rodriguez. Airdate 3/4/25Join the leading community for Conservative Christians! https://www.FaithandValues.comYou can partner with us by visiting TruNews.com, calling 1-800-576-2116, or by mail at PO Box 399 Vero Beach, FL 32961.Get high-quality emergency preparedness food today from American Reserves!https://www.AmericanReserves.com             It's the Final Day! The day Jesus Christ bursts into our dimension of time, space, and matter. Now available in eBook and audio formats! Order Final Day from Amazon today!https://www.amazon.com/Final-Day-Characteristics-Second-Coming/dp/0578260816/Apple users, you can download the audio version on Apple Books!https://books.apple.com/us/audiobook/final-day-10-characteristics-of-the-second-coming/id1687129858Purchase the 4-part DVD set or start streaming Sacrificing Liberty today.https://www.sacrificingliberty.com/watchThe Fauci Elf is a hilarious gift guaranteed to make your friends laugh! Order yours today!https://tru.news/faucielf

Shoot us a Text.Today is our fearless leader Paul J Daly's birthday! So we gave him the morning off and tapped in producer Nathan Southwick. We're talking all about the new Canada and Mexico tariffs that put pressure on the automotive supply chains, plus the top depreciating cars and how Google is pushing to achieve artificial general intelligence.Show Notes with links:The U.S. has enacted 25% tariffs on imports from Canada and Mexico, throwing the highly integrated North American production network into turmoil.The tariffs, effective today, March 4, apply to all imports except Canadian energy products, which face a lower 10% duty. Canada and Mexico both responded with their own tariffs.Industry experts predict vehicle prices could rise between $4,000 and $10,000, with Ford CEO Jim Farley cautioning that prolonged tariffs could "blow a hole in the U.S. industry that we have never seen."Flavio Volpe, president of the Automotive Parts Manufacturers' Association said that there is potential for U.S. and Canadian auto production to revert to "2020 pandemic-level idling and temporary layoffs within the week.”Key auto models at risk include the Toyota RAV4, Ford Mustang Mach-E, Chevrolet Equinox and Blazer, and the Honda Civic and CR-V, while European automakers with manufacturing in Mexico, including Volkswagen, Stellantis, and BMW, saw their stocks drop sharplyThe STOXX Europe 600 Automobiles and Parts index fell 3.8% and Continental AG, a major supplier, saw an 8.4% drop in shares.Used Tesla Model 3 and Model Y vehicles saw the steepest depreciation of any cars in 2024, according to Fast Company's analysis of CarGurus data.Model Y prices dropped 25.5%, while Model 3 prices fell 25% from January 2024 to January 2025.Comparatively, the Nissan Maxima only dropped 5.2%, and the Ford Mustang declined 5%.Full Top 10: Tesla Model Y, Tesla Model 3, Land Rover Range Rover, Jeep Wrangler 4xe, Chevrolet Express Cargo, Ford Transit Connect, RAM ProMaster, Land Rover Range Rover Sport, Chevrolet Bolt EV, and Ford Expedition, all with over 19% depreciationGoogle co-founder Sergey Brin is back and pushing Google DeepMind (GDM) teams to accelerate their progress toward Artificial General Intelligence (AGI). In a newly released memo, Brin outlines the urgency and expectations for Google's AI teams.Brin emphasizes the need for 60-hour work weeks, daily office attendance, and faster execution by prioritizing simple solutions, code efficiency, and small-scale experiments for faster iteration.He calls for a shift away from “nanny products” and urges teams to “trust our users” more.Brin, who has no formal role at Google beyond a board seat, stepped in over the head of Google DeepMind, Demis Hassabis, signaling the urgency of the AGI race."I think we have all the ingredients to wHosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email

In this episode, I explore the concept of the "AI flywheel" - the accelerating momentum of artificial intelligence development that's either carrying us forward or leaving us behind. As we approach the critical juncture of Artificial General Intelligence we need to understand what makes us uniquely human, something I discussed with recent guest, Dom Heinrich. Key PointsThe Accelerating Pace: Recent releases from Anthropic (Claude 3.7 Sonnet), OpenAI (GPT-4.5), Google (Gemini), and Grok demonstrate how each breakthrough contributes to faster development.Choosing Your Tools: Mark uses different AI models for specific purposes - Claude for creative work, Gemini for Google's ecosystem, and Grok for Twitter-based insights.Human Uniqueness: As AI handles analytical tasks with ease, our distinct value may lie in emotional intelligence, ethical reasoning, and wisdom from lived experience.Finding Balance: Technology should be used thoughtfully. AI might help us become more human by handling routine tasks, freeing us to focus on relationships, creativity, and empathy.Notable Quote"As controllers of technology, we must balance technological connection with disconnection, have the discipline to lose ourselves in our unconscious minds, and have the focus to listen to our souls."Join the ConversationI invites listeners to share how they're navigating the AI flywheel and what human qualities they believe will become more valuable as AI advances.Timestamps00:00 Introduction 00:08 The AI Flywheel Concept00:38 Recent AI Developments01:49 Choosing the Right AI Tool02:49 Human Qualities in the Age of AI03:43 Balancing Technology and Humanity04:33 Engaging with AI Technology05:12 Conclusion and Call to Action LinksLinkedin Hosted on Acast. See acast.com/privacy for more information.

Prepare to have your perspective shifted on artificial intelligence, economics, and the global landscape. If you thought AI was just a technological marvel of the future, think again. The debate on whether Artificial General Intelligence (AGI) is already here is underway, as ChatGPT 4.5 makes waves by matching the cognitive might of a thoughtful human. And in a world that's ever-evolving, how is the advancement of Amazon's quantum chip going to reshape benchmarks? But that's not all. Political drama takes center stage with bombshell stories from El Salvador's President Bukele to insights on the delicate balance of democracy. Hold onto your seats as we dive into these transformative topics, exploring the implications with none other than one of the titans of innovation, Elon Musk. Joining us in this conversation are insightful exchanges with co-host Producer Drew. Together, we'll navigate the controversies, breakthroughs, and bold predictions that are defining today's impact on the world. Get ready, because this episode is loaded with revelations that will leave you questioning everything. SHOWNOTES 00:00 AGI, AI Crisis, Quantum Leap 03:36 Rethinking AI Validation Methods 09:28 AI Boosts Efficiency in Game Design 10:56 Prioritize Taste, Elevate Efficiency 14:19 Competition-Driven Innovation Benefits Consumers 17:10 Bukele on Impeaching Corrupt Judges 21:00 Disagreement on Judicial Authority 25:02 "Demand Accountability in Technology Contracts" 26:55 Unprecedented Government Transparency 32:09 "Urgency for Peace and Stability" 35:27 Zelensky's Provocative Strategy in Russia 39:10 Call for De-escalation and Diplomacy 42:23 People's Union Launches Economic Blackout 44:36 Clear Aims Drive Successful Outcomes 47:41 "Elite Leadership for Effective Change" 50:03 Recording Process with Ray Dalio CHECK OUT OUR SPONSORS Range Rover: Range Rover: Explore the Range Rover Sport at https://rangerover.com/us/sport Audible: Sign up for a free 30 day trial at https://audible.com/IMPACTTHEORY  Vital Proteins: Get 20% off by going to https://www.vitalproteins.com and entering promo code IMPACT at check out ITU: Ready to breakthrough your biggest business bottleneck? Apply to work with me 1:1 - https://impacttheory.co/SCALE Tax Network USA: Stop looking over your shoulder and put your IRS troubles behind you. Call 1-800-958-1000 or visit https://tnusa.com/impact  MUD/WTR: Start your new morning ritual & get up to 43% off your @MUDWTR with code IMPACT at https://mudwtr.com/IMPACT ! #mudwtrpod  Shopify: Sign up for your one-dollar-per-month trial period at https://shopify.com/impact  American Alternative Assets: If you're ready to explore gold as part of your investment strategy, call 1-888-615-8047 or go to https://TomGetsGold.com  Ridge Wallet: Upgrade your wallet today! Get 10% Off @Ridge with code IMPACT at https://www.Ridge.com/IMPACT  #Ridgepod ********************************************************************** Do you need my help? STARTING a business: Join me inside ZERO TO FOUNDER here SCALING a business: Click here to see if you qualify Get my battle-tested strategies and insights delivered weekly to your inbox: sign up here. ********************************************************************** If you're serious about leveling up your life, I urge you to check out my new podcast, Tom Bilyeu's Mindset Playbook —a goldmine of my most impactful episodes on mindset, business, and health. Trust me, your future self will thank you. ********************************************************************** Join me live on my Twitch stream. I'm live daily from 6:30 to 8:30 am PT at www.twitch.tv/tombilyeu ********************************************************************** FOLLOW TOM: Instagram: https://www.instagram.com/tombilyeu/ Tik Tok: https://www.tiktok.com/@tombilyeu?lang=en Twitter: https://twitter.com/tombilyeu YouTube: https://www.youtube.com/@TomBilyeu Learn more about your ad choices. Visit megaphone.fm/adchoices

Youtube: https://www.youtube.com/@GenerativeAIMeetup   https://www.anthropic.com/news/the-anthropic-economic-index https://x.com/xai/status/1891699715298730482 - Grok 3 http://x.com/karpathy/status/1891720635363254772 https://news.microsoft.com/source/features/innovation/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/ https://en.wikipedia.org/wiki/Majorana_fermion https://www.youtube.com/watch?v=88vEsL5tgDI Grok 3 -Elon Musk new model - Seems to be a very brute-force approach (which is working) - Definitely a state of the art model - 40 dollars a month now - https://techcrunch.com/2025/02/19/x-doubles-its-premium-plan-prices-after-xai-releases-grok-3/ - 100,000 GPUs Majorana - Uses a particle called the Majorana - https://www.howtopronounce.com/ettore-majorana - https://en.wikipedia.org/wiki/Ettore_Majorana - Ettore Majorana disappeared soon after theorizing this particle in 1937 he disappeared in 1938 although thought to be alive - A majorana is a fermion that has its own antiparticle - this was originally theorized in 1937 - The particle has its own charge... and own antiparticle - it has a new topological state... which is a new state of matter - Has has 8 quibits - Is designed to scale to a million quibits - To break bitcoin you might need ~1500 to 5000 logical quibits - A quibit can be used to represent potentially infinite states Figure AI - Helix - https://www.figure.ai/news/helix - Vision-Language-Action (VLA) - Full-upper-body control - Multi Robot collaboration - Pick up anything - Single neural network to build this, no specific fine tuning - https://www.figure.ai/news/helix - Has a slow System 2 and a fast system 1 neural network - system 2 -- 7B - system 1 -- 80M   Get ready to explore the frontiers of technology in this exciting episode! We unpack the latest breakthroughs driving us toward Artificial General Intelligence (AGI) and beyond, with a mix of mind-blowing advancements and thought-provoking discussions: Grok 3 Unveiled: Elon Musk's xAI has dropped Grok 3, a powerhouse AI model dominating benchmarks and redefining what large language models can achieve. We dive into its stellar performance, its bold “no-filter” approach to information, and how it stacks up against heavyweights like Claude 3.5, OpenAI's offerings, and Google's latest.   Quantum Leap Forward: Microsoft's Majorana-based quantum chip is here, promising to scale quantum computing to a million qubits. We simplify the tech behind it, explore its potential to transform everything from cryptography to drug design, and ponder what it means for simulating reality itself.   Robots in Action: Figure AI's Helix brings us two humanoid robots teaming up to tackle chores like grocery unpacking. We marvel at their teamwork, laugh at their quirky moves, and discuss the hurdles and possibilities of general-purpose robotics in our everyday lives.   But it's not all tech demos and breakthroughs. We wrestle with the big stuff too: Are we inching closer to AGI? How do quantum computing, AI, and robotics fuel each other's progress? And what happens when unrestricted AI or quantum tech shakes up ethics—like privacy or security? Perfect for AI buffs, tech pros, or anyone curious about tomorrow, this episode blends sharp insights, lively debates, and a dash of humor. Jump in to stay ahead in the fast-moving world of generative AI! Listen now and join the discussion! Chapters:   0:00 - Introduction: The AGI RevolutionOpening remarks about how close we are to AGI and the recent breakthroughs 2:15 - Grok 3: The New AI BenchmarkDiscussion of Grok 3's capabilities and performance compared to other models 7:30 - Elon's 122-Day Data CenterHow Elon Musk converted an old Electrolux factory into a massive AI data center 11:45 - The Computing Power Behind GrokDetails about the 100,000+ GPUs and diesel generators powering Grok's training 15:20 - Why Grok "Just Feels Better"Analysis of what makes Grok 3 outperform other models in real-world use cases 19:40 - AI Guardrails: Freedom vs. SafetyThe ethical debate around AI content restrictions and guardrails 25:15 - The Cat and Mouse Game of AI SafetyHow users bypass AI safety measures and what it means for regulation 30:00 - Anthropic's Economic IndexSurprising data about how people actually use AI tools in practice 36:30 - Programming: AI's Killer AppWhy coding dominates AI usage and how models excel at verifiable tasks 42:15 - The $40 AI RevolutionGrok's pricing strategy and why it's disrupting the AI market 47:00 - Microsoft's Quantum Computing BreakthroughThe Majorana One and the mysterious physicist behind it 53:45 - The Path to One Million QubitsHow Microsoft plans to scale quantum computing in the next few years 58:30 - The Future of AI: Multiple Paths to AGIConcluding thoughts on how different technologies are converging toward AGI 1:02:15 - Final Thoughts: Tuesday Will Be InterestingClosing remarks on the rapid pace of AI development  

This episode features an interview between Bill Pfeifer and Ananta Nair, Artificial Intelligence Engineer at Dell Technologies, where she leads AI and ML software initiatives for large enterprises. Ananta discusses differences between human learning and AI models, highlighting the complexities and limitations of current AI technologies. She also touches on the potential and challenges of AI in edge computing, emphasizing the importance of building efficient, scalable, and business-focused models. --------Key Quotes:“It's very hard to take these AI structures and say that  they can do all of these very complex things that humans can do, when they're architecturally designed very differently. I'm a big fan of biologically inspired, not biologically accurate.”“Do you really need AGI for a lot of real world applications? No, you don't want that. Do you want some really complex system where you have no idea what you're doing, where you're pouring all this money in and you know, you're not really getting the results that you want? No, you want something very simple outcomes razor approach, make it as simple as possible, scalable, can adapt, can measure for all of your business metrics” “We have reached a point where you can do the most with AI models with minimal compute than ever. And so I think that is very exciting. I think we have reached a point where you have very capable models that you can deploy at the edge and I think there's a lot of stuff happening in that realm.”--------Timestamps: (01:20) How Ananta got started in tech and neuroscience(04:59) Human learning vs AI learning(15:11) Explaining dynamical systems (26:57) Exploring AI agents and human behavior(30:43) Edge computing and AI models(32:58) Advancements in AI model efficiency--------Sponsor:Edge solutions are unlocking data-driven insights for leading organizations. With Dell Technologies, you can capitalize on your edge by leveraging the broadest portfolio of purpose-built edge hardware, software and services. Leverage AI where you need it; simplify your edge; and protect your edge to generate competitive advantage within your industry. Capitalize on your edge today with Dell Technologies.--------Credits:Over the Edge is hosted by Bill Pfeifer, and was created by Matt Trifiro and Ian Faison. Executive producers are Matt Trifiro, Ian Faison, Jon Libbey and Kyle Rusca. The show producer is Erin Stenhouse. The audio engineer is Brian Thomas. Additional production support from Elisabeth Plutko.--------Links:Follow Ananta on LinkedInFollow Bill on LinkedIn

Our Data Vampires series may be over, but Paris interviewed a bunch of experts on data centers and AI whose insights shouldn't go to waste. We're releasing those interviews as bonus episodes for Patreon supporters. Here's a preview of this week's premium episode with Julia Black, a reporter on The Information's Weekend Team. For the full interview, support the show on Patreon.Support the show

OpenAI is pushing the boundaries of artificial intelligence yet again. In this episode of Rocketship.FM, we break down what Chief Product Officer Kevin Weil revealed about OpenAI's roadmap for 2025 and beyond—including the latest AI model, O1, which is already outperforming previous versions in coding, math, and reasoning. But that's just the beginning. We also explore OpenAI's move into AI-powered agents designed to streamline everyday tasks, and the company's rumored return to humanoid robotics. And what about Artificial General Intelligence (AGI) and even Artificial Superintelligence (ASI)? OpenAI CEO Sam Altman has hinted that these once-distant milestones could be closer than we think. What happens when AI surpasses human intelligence? Will it be a utopia of limitless innovation, or are we opening a Pandora's box we can't close? Join us as we unpack OpenAI's vision for the future—and what it could mean for the world.

For years, artificial intelligence companies have heralded the coming of artificial general intelligence, or AGI. OpenAI, which makes the chatbot ChatGPT, has said that their founding goal was to build AGI that “benefits all of humanity” and “gives everyone incredible new capabilities.”Google DeepMind cofounder Dr. Demis Hassabis has described AGI as a system that “should be able to do pretty much any cognitive task that humans can do.” Last year, OpenAI CEO Sam Altman said AGI will arrive sooner than expected, but that it would matter much less than people think. And earlier this week, Altman said in a blog post that the company knows how to build AGI as we've “traditionally understood it.”But what is artificial general intelligence supposed to be, anyway?Ira Flatow is joined by Dr. Melanie Mitchell, a professor at Santa Fe University who studies cognition in artificial intelligence and machine systems. They talk about the history of AGI, how biologists study animal intelligence, and what could come next in the field.Transcripts for each segment will be available after the show airs on sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

Send Everyday AI and Jordan a text messageIs Microsoft laying off thousands because of AI? How did one small box from NVIDIA change the future of work? What are Google's big AI shakeups? And why is OpenAI getting into humanoid robots? So many AI questions. We've got the AI answers with the AI news that matters.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI Robotics Department2. NVIDIA's AI Projects and Tech3. Google's AI Updates and AGI shift4. Microsoft's Open Source Model5. Meta speaks on AI and Software EngineeringTimestamps:00:00 Daily AI news, podcast recaps, expert episodes.04:34 NVIDIA's CES keynote: Major AI GPU announcements.06:52 NVIDIA uses generative AI to enhance GPUs.12:19 Local powerful AI models enhance data security.16:10 NVIDIA forks Meta's Llama for enterprise AI.20:44 Google aims for AGI using advanced world models.22:34 Phi 4: Efficient, powerful, open-source AI model.25:35 Microsoft prioritizes retaining AI talent with bonuses.31:34 OpenAI revives robotics department for versatile robots.35:18 OpenAI urges US to secure AI investments.39:21 Observations connect over time; predictions often accurate.40:01 Prediction on AI agent numbers was impactful.Keywords:OpenAI, robotics, humanoid robots, adaptive robots, AI models, AI supercomputer, NVIDIA GPUs, DeepMind AI, Microsoft's open-source model, AI automation, Meta software engineering, US AI leadership, AI Predictions, AI industry news, RTX 50 series GPUs, Project Digits, NVIDIA's Grace Blackwell superchip, local AI computing, Cosmos, Isaac Robot Simulation, Nemotron Models, Enterprise AI, DeepMind's World Models, Google's Artificial General Intelligence, Google AI projects, Microsoft layoffs, Microsoft Phi-4 model, Hugging Face, Coding automation, Meta's AI advancement. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Send Everyday AI and Jordan a text messageGoogle is using Claude to improve Gemini? Why is OpenAI looking at building humanoids? What does a $100 billion price tag have to do with AGI? AI news and big tech didn't take a holiday break. Get caught up with Everyday AI's AI News That Matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Impact of Large Language Models2. Google's AI Strategy3. OpenAI's Restructuring and Robotics Research4. AI Manipulation and Concerns5. AGI and its Valuation6. DeepSeek's Open-Source Model7. Meta's AI Plan for Social MediaTimestamps:00:00 Open-source AI competes with proprietary models.04:21 DeepSeek v3: Affordable, open-source model for innovators.07:39 Meta expands AI characters, faces safety risks.10:42 OpenAI restructuring as Public Benefit Corporation (PBC).17:04 Google compares models; Gemini flagged for safety.19:40 Models often use other models for evaluation.21:51 Google prioritizes Gemini AI for 2025 growth.26:29 Google's Gemini lagged behind in updates, ineffective.31:17 AI's intention economy forecasts, manipulates, sells intentions.35:13 Hinton warns AI could outsmart humans, urges regulation.39:24 Microsoft invested in OpenAI; AGI limits tech use.40:36 Microsoft revised AGI use agreement with OpenAI.Keywords:Large Language Models, Google's AI Focus, Gemini language models, AI evaluation, OpenAI Robotics, AI Manipulation Study, Anticipatory AI, Artificial General Intelligence, DeepSeek, Open-source AI, B3 model, Meta, AI Characters, Social Media AI, OpenAI corporate restructuring, Public Benefit Corporation, AI investment, Anthropic's Claude AI, AI Compliance, AI safety, Synthetic Data, AI User Manipulation, Geoffrey Hinton, AI risks, AI regulation, AGI Valuation, Microsoft-OpenAI partnership, Intellectual property in AI, AGI Potential, Sam Altman. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Find my Dilbert 2025 Calendar at: https://dilbert.com/ God's Debris: The Complete Works, Amazon https://tinyurl.com/GodsDebrisCompleteWorks Find my "extra" content on Locals: https://ScottAdams.Locals.com Content: Politics, US Infrastructure Compromised, US Infrastructure Cyber Warfare, 2FA Compromised, Deportee App, CNN Abby Phillip, Biden Crime Family Evidence, Fake News Ratings Crash, J6 Political Prisoners, J6 Class Action Lawsuit, Imminent AI AGI, Artificial General Intelligence, Elon Musk, H-1B System Abuse, Professional Organized X Trolls, Troll Wave Pattern Recognition, H-1B Muddy Thinking, Demographic Hiring, H-1B Reform, Climate Model Assumptions, Scott Adams ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you would like to enjoy this same content plus bonus content from Scott Adams, including micro-lessons on lots of useful topics to build your talent stack, please see scottadams.locals.com for full access to that secret treasure. --- Support this podcast: https://podcasters.spotify.com/pod/show/scott-adams00/support