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    The AI Daily Brief: Artificial Intelligence News and Analysis

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    Buzzinga أخبار الذكاء الاصطناعي

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    Buzzinga أخبار الذكاء الاصطناعي

    Ali Moheyaldeen

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  • AI & MDR - The Future of Cyber Security Detection & Response

    5 Feb

    AI & MDR - The Future of Cyber Security Detection & Response

    In episode 49 of Cyber Security America, we explore how Artificial Intelligence is reshaping cybersecurity, Managed Detection and Response (MDR), and modern security operations. As cyber threats grow more advanced, organizations must evolve from reactive defense to proactive, intelligence-driven protection.   📱 Follow Cyber Security America on Youtube for short clips and updates Featuring Woo An (CEO of Zaun.ai) and Tyler Lackey (AI Security Builder), this episode delivers real-world insight into how AI-native security platforms are improving detection, response, and operational scale across enterprise environments. We discuss: The future of MDR and AI-driven security operations How AI agents and automation are transforming incident response Shadow AI, data leakage, and governance challenges AI security risks, role-based controls, and detection engineering Scaling cybersecurity outcomes without replacing security teams Real-world enterprise lessons from AI-powered security innovation Whether you're a CISO, security leader, MDR provider, or cybersecurity professional, this episode provides practical insight into how AI is redefining cyber defense and how organizations can stay ahead of evolving threats. 🎧 Listen to the Cyber Security America Podcast — a cybersecurity podcast focused on real-world incident response, threat intelligence, ransomware, and security leadership. YouTube Playlist: https://www.youtube.com/playlist?list=PLBl5Ef4QLoa3szw4NGDVZCY0aa1tixnsa 🎙️ Apple Podcasts: https://podcasts.apple.com/us/podcast/cyber-security-america/id1668216285 🎙️ Spotify: https://open.spotify.com/show/3wmyUbe1TY5hNl96Q8UFFI 🎙️ Instagram: https://www.instagram.com/cybersecurityamericapodcast/ 🎙️ TikTok: https://www.tiktok.com/@cybersecurityamerica 🎙️ X (Twitter): https://x.com/nicholsonj7111 📱 Follow Cyber Security America for short clips and updates 👤 Host — Joshua R. Nicholson: https://www.linkedin.com/in/joshuarnicholson/ 🎙️ Cyber Security America on LinkedIn: https://www.linkedin.com/company/cyber-security-america-podcast 📩 For show inquiries, guest requests, sponsorship discussions, or collaboration ideas: info@darkstack7.com 🌐 Contact via website: www.darkstack7.com/contact #CyberSecurity #ArtificialIntelligence #AIinCybersecurity #MDR #ManagedDetectionAndResponse #CyberDefense #SecurityOperations #SecOps #CyberRisk #CISO #CyberLeadership #ThreatDetection #IncidentResponse #SecurityAutomation #AIsecurity #CyberThreats #EnterpriseSecurity #CyberResilience #CyberSecurityPodcast #CyberSecurityAmerica

  • The Startups Rebuilding American Industry | The AD50

    29 Oct

    The Startups Rebuilding American Industry | The AD50

    America’s defense, energy, manufacturing, and robotics booms are increasingly becoming one story: the rebuilding of the country’s industrial base. This year’s AD50 highlights the companies building across that stack, from critical materials and factories to the systems they ultimately power. a16z’s Erin Price-Wright and Connor Love join Elena Burger to unpack what has changed. They discuss how defense demand can help finance manufacturing capacity that ultimately serves much larger commercial markets, why AI is changing the economics of American factories, and how a new generation of founders is applying lessons from SpaceX, Tesla, Anduril, and Palantir to mining, energy, manufacturing, and defense.  They also make the case that these companies are no longer simply important to America. With private capital increasingly willing to fund physical infrastructure and production before government demand is guaranteed, they can become some of the most valuable companies in the world. Resources: Explore the AD50 : https://www.a16z.news/p/ad-50-2026-production-is-deterrence Follow Erin Price-Wright: https://x.com/espricewright  Follow Connor Love on X: https://x.com/ConnorLoveCA  Follow Elena Burger on X: https://x.com/VirtualElena  Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  • Why the Tech Right Lost Big This Week

    1 day ago

    Why the Tech Right Lost Big This Week

    After watching the historic election results on Tuesday night, we sat down with Erin Griffith and Ezra Klein to make sense of what they mean for the tech industry. We talk about the role of anti-A.I. and anti-data-center sentiment, backlash against billionaires and whether Silicon Valley is experiencing a vibe shift away from the Tech Right. Finally, Max sits down with the reporter Theodore Schleifer to rank midterm tech megadonors from first to worst. Who got the most bang for their buck? Guests: Erin Griffith, a technology reporter at The New York TimesEzra Klein, a columnist and host of ‘The Ezra Klein Show’Theodore Schleifer, a reporter for The New York Times covering billionaires and their impact on the world  Additional Reading: Tech Billionaires Face Tricky Political Waters After Democratic SweepThe Bell Tolls for TrumpismThe Republican Party’s Financial Advantage Wasn’t Enough in the 2026 Midterm ElectionsSpaceX and Tesla Stocks Tumble After Elon Musk-Backed Candidates Lose in TexasSherrod Brown’s Win in Ohio Is a Rare Loss for Crypto Under Trump   We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok.   Subscribe today at nytimes.com/podcasts or on Apple Podcasts, Spotify and Amazon Music. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  • Escaping the modern world and your noisy mind

    1 day ago

    Escaping the modern world and your noisy mind

    How do you find the courage to leave the world you know and make your way to a completely different reality? This episode, TED speakers share ideas about escape and renewal. Guests include author Pico Iyer, NXIVM whistleblower Sarah Edmondson, captain and navigator Lehua Kamalu and TV producer and screenwriter Shonda Rhimes. Original broadcast date: June 13, 2025 See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy

  • Why a Data Center Slowdown Benefits Big Tech

    1 day ago

    Why a Data Center Slowdown Benefits Big Tech

    Could a slowdown in data center construction actually help Big Tech? NLW explores how the post-election backlash could give hyperscalers cover to rein in spending, boost cash flow, and strengthen their competitive position—and whether the AI investment boom can cool without crashing. In the headlines: OpenAI says ChatGPT search is gaining on Google, Meta acquires coding startup Conductor, and Apple cuts employee AI spending limits. Check out How We Got Here Ep. 2 - How We Made the Wrong Things Cheap ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/how-we-got-here-with-nlw/id6822359990⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/7h55KSq0XwIjdWzwF2zgNV?si=cb76360051ec48a0⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn More about the AI Champions Program: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.besuper.ai/champions⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Brought to you by: KPMG – New KPMG and UT Austin research shows what separates “AI Amplifiers” from everyone else. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠kpmg.com/us/AIamplifiers⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Granola - The AI notepad for people in back-to-back meetings. Try it free ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠granola.ai/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  CData - The gateway that makes AI more accurate, for less - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cdata.ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Harbor - Invest in the AI ecosystem. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.harborcapital.com/aidaily⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Section - Section turns AI investment into workforce transformation and ROI - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The AI Daily Brief helps you understand the most important news and discussions in AI. Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring the show? sponsors@aidailybrief.ai

  • #503 – AI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory

    26 Oct

    #503 – AI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory

    Ankur Moitra, Steven Brunton and Alex Kontorovich are three mathematicians who can speak to this incredible moment in the history of mathematics, when AI solved some of its hardest problems: Navier-Stokes, the quasi-Riemann hypothesis, the unique games conjecture and hundreds of other problems. Ankur Moitra is a mathematician at MIT (visiting the Institute for Advanced Study in Princeton) working in theoretical computer science, who can speak to the unique games conjecture, complexity theory and the mathematics of how AI learns. Steven Brunton is a mathematician and fluid dynamics expert at UW, who can speak to Navier-Stokes, turbulence and machine learning for fluid dynamics. Alex Kontorovich is a mathematician at Rutgers specializing in number theory, who can speak to the Riemann hypothesis, Lean and machine-checked proofs. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep503-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/math-ai-crisis-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Ankur’s Website: https://people.csail.mit.edu/moitra/ Alex’s X: https://x.com/AlexKontorovich Alex’s Website: https://sites.math.rutgers.edu/~alexk/ Steven’s X: https://x.com/eigensteve Steven’s YouTube: https://youtube.com/@Eigensteve Steven’s Website: https://eigensteve.com Lean: https://lean-lang.org/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Wispr Flow: AI-powered voice dictation app. Go to https://wisprflow.ai/lex Fin: AI agent for customer service. Go to https://fin.ai/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Blitzy: AI agent for large enterprise codebases. Go to https://blitzy.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to https://netsuite.ai/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:58) – Sponsors, Comments, and Reflections (09:53) – Crisis moment in mathematics (18:10) – Will AI “solve” mathematics? (34:21) – Can AI create new math? (1:13:53) – Riemann hypothesis (1:37:45) – Navier-Stokes (2:03:42) – How nature computes (2:12:35) – Unique Games Conjecture and complexity theory (2:27:28) – How mathematicians think (2:41:05) – Is math invented or discovered? (2:47:13) – Can AI solve P vs NP? (2:57:28) – Why LLMs work so well (3:11:54) – Problems AI can’t solve yet (3:16:23) – Grigori Perelman (3:25:41) – Advice for young people

  • أحمد عادل - AI in Software Dev - إجبار المبرمجين على استخدام الذكاء الاصطناعي

    27/09/2025

    أحمد عادل - AI in Software Dev - إجبار المبرمجين على استخدام الذكاء الاصطناعي

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    Andrej Karpathy is a legendary AI researcher, engineer, and educator. He’s the former director of AI at Tesla, a founding member of OpenAI, and an educator at Stanford. Please support this podcast by checking out our sponsors: – Eight Sleep: https://www.eightsleep.com/lex to get special savings – BetterHelp: https://betterhelp.com/lex to get 10% off – Fundrise: https://fundrise.com/lex – Athletic Greens: https://athleticgreens.com/lex to get 1 month of fish oil EPISODE LINKS: Andrej’s Twitter: http://twitter.com/karpathy Andrej’s YouTube: http://youtube.com/c/AndrejKarpathy Andrej’s Website: http://karpathy.ai Andrej’s Google Scholar: http://scholar.google.com/citations?user=l8WuQJgAAAAJ Books mentioned: The Vital Question: https://amzn.to/3q0vN6q Life Ascending: https://amzn.to/3wKIsOE The Selfish Gene: https://amzn.to/3TCo63s Contact: https://amzn.to/3W3y5Au The Cell: https://amzn.to/3W5f6pa PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://open.spotify.com/episode/28yFp9dzo61CiOf0Ejxxhe 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 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 (05:41) – Neural networks (10:45) – Biology (16:15) – Aliens (26:27) – Universe (38:18) – Transformers (46:34) – Language models (56:45) – Bots (1:03:05) – Google’s LaMDA (1:10:28) – Software 2.0 (1:21:28) – Human annotation (1:23:25) – Camera vision (1:28:30) – Tesla’s Data Engine (1:32:39) – Tesla Vision (1:39:09) – Elon Musk (1:44:17) – Autonomous driving (1:49:11) – Leaving Tesla (1:54:39) – Tesla’s Optimus (2:03:45) – ImageNet (2:06:23) – Data (2:16:15) – Day in the life (2:29:31) – Best IDE (2:36:37) – arXiv (2:41:06) – Advice for beginners (2:50:24) – Artificial general intelligence (3:03:44) – Movies (3:09:37) – Future of human civilization (3:13:56) – Book recommendations (3:20:05) – Advice for young people (3:21:56) – Future of machine learning (3:28:44) – Meaning of life

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