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  • Haskell and Dependent Types with GHC TSC member Vladislav Zavialov

    08/04/2021

    Haskell and Dependent Types with GHC TSC member Vladislav Zavialov

    In this episode, I had the honor to talk with Vladislav Zavialov, Software Engineer at #Serokell and #Haskell #GHC Technical Steering Committee member. We talked about dependent types, type systems, and functional programming.

  • #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution

    23 Mar

    #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution

    Jensen Huang is the co-founder and CEO of NVIDIA, the world’s most valuable company and the engine powering the AI computing revolution. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep494-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/jensen-huang-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: NVIDIA: https://nvidia.com NVIDIA on X: https://x.com/nvidia NVIDIA AI on X: https://x.com/NVIDIAAI NVIDIA on YouTube: https://youtube.com/@nvidia NVIDIA on Instagram: https://www.instagram.com/nvidia/ NVIDIA on LinkedIn: https://www.linkedin.com/company/nvidia/ NVIDIA on Facebook: https://www.facebook.com/NVIDIA/ NVIDIA on GitHub: https://github.com/NVIDIA Nemotron: https://developer.nvidia.com/nemotron SPONSORS: To support this podcast, check out our sponsors & get discounts: Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Quo: Phone system (calls, texts, contacts) for businesses. Go to https://quo.com/lex OUTLINE: (00:00) – Introduction (00:26) – Sponsors, Comments, and Reflections (06:34) – Extreme co-design and rack-scale engineering (09:20) – How Jensen runs NVIDIA (28:41) – AI scaling laws (43:41) – Biggest blockers to AI scaling laws (45:25) – Supply chain (47:20) – Memory (53:25) – Power (58:45) – Elon and Colossus (1:02:13) – Jensen’s approach to engineering and leadership (1:07:38) – China (1:15:51) – TSMC and Taiwan (1:21:06) – NVIDIA’s moat (1:26:43) – AI data centers in space (1:30:31) – Will NVIDIA be worth $10 trillion? (1:40:40) – Leadership under pressure (1:54:26) – Video games (2:01:18) – AGI timeline (2:03:31) – Future of programming (2:17:02) – Consciousness (2:23:23) – Mortality PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips

  • The Ezra Klein Show: The A.I. Revolt Is Here

    1 day ago

    The Ezra Klein Show: The A.I. Revolt Is Here

    The “Hard Fork” team is away this week. But while we’re away, we’re bringing you a recent episode of “The Ezra Klein Show.” In this episode, Ezra talks with the journalist Jasmine Sun about her recent reporting trip through the Midwest, where she explored how the data center backlash is playing out on the ground. Ezra and Jasmine discuss the strange political coalitions that are coming together to oppose the A.I. infrastructure build out, and why people don’t believe what they’re being told about it.   Guests: Jasmine Sun, journalist and writer at jasmi.news  Additional Reading: No Data Centers In My BackyardA transcript and video of this episode can be found here. 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 and Spotify. 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.

  • Sustainability as Responsibility with Louise French

    1 day ago

    Sustainability as Responsibility with Louise French

    In this episode of Software Made Human, host Garrett Sheridan is joined by Louise French, sustainability consultant and Enterprise Ireland approved service provider. Louise spends her days sitting down with businesses and working out where they actually start with sustainability, and that turns out to be the real story. Most companies aren't resisting. They just don't know what the first step looks like. Louise makes the case that sustainability is better understood as responsibility, and that where we've landed now, the word we really need is regeneration. She walks through Kate Raworth's Doughnut Economics and the problem with treating growth as the goal in itself, and is refreshingly honest about her own Celtic Tiger years along the way. The conversation also gets into the energy and water side of AI and data centres, including the Codema district heating project in Tallaght, where waste heat from an AWS data centre is being piped into public services, and why software companies have sustainability challenges that are less visible, but arguably harder to control, than a manufacturer's. In this episode: Why "sustainability" has been diluted, and what it should actually mean in practiceDoughnut Economics, planetary boundaries, and growth for growth's sakeWhat's really blocking businesses, and the grants that exist to unblock themHow to make the case to a board, and why there's no one-size-fits-all strategyWhere software differs from manufacturing, governance, data, trust, and automationWhether Ireland's government is doing enough, given what it has to work withWhy getting ahead of regulation is leadership, and complying with it isn't Plus a quick-fire round covering Doughnut Economics, the UN Sustainable Development Goals, the Climate Cocktail Club, staying curious as a leadership trait, and never saying no to an invite. You'll find Louise French on LinkedIn. Hosted on Acast. See acast.com/privacy for more information.

  • The CISO Perspective on the Market

    26/05/2024

    The CISO Perspective on the Market

    In this informative episode of "30 Min on: Vulnerability Management," host James Berthoty sits down with Frank Kim to explore the evolving landscape where software development and security intersect. Frank, with a rich background transitioning from software engineering to cybersecurity, shares his insights on the challenges and strategies of integrating robust security practices within development workflows. Key Highlights: - Transition Paths: Frank discusses the common and not-so-common pathways developers take to enter security, shedding light on the cultural and educational shifts necessary to foster a security-centric mindset in development teams. - Evolution of Security Roles: As security needs become more intertwined with development, especially in cloud and DevOps environments, Frank emphasizes the importance of security professionals understanding and participating in development processes to effectively manage risks. - Challenges in Security Adoption: The discussion delves into the difficulties security leaders face when trying to implement security tools and practices within development cycles, highlighting the balance between depth of security and operational efficiency. - Impact of Frequent Deployments: Frank argues that frequent, smaller deployments can reduce overall risk by limiting the "blast radius" of changes and enabling faster response times to potential security incidents. - Educational Needs for Security Teams: Highlighting the importance of foundational knowledge in both development and operational tools, Frank stresses continuous education and awareness as key to keeping security practices current and effective. Why It Matters: This episode provides a deep dive into how security is not just a series of tools to be implemented but a discipline that must evolve with technological advancements and organizational changes. Frank Kim’s perspective as a seasoned security leader offers valuable insights into how security teams can more effectively collaborate with development teams to enhance the security posture of applications from design to deployment. Tune in to better understand how integrating security into the development process can lead to more secure, efficient, and resilient systems.

  • Apple Event — September 9

    3 days ago ·  Video

    Apple Event — September 9

    Tune in to learn about iPhone Duo and iPhone 18 Pro. Plus Apple Watch Series 12, Apple Watch Ultra 4, and AirPods 5.

  • WWDC26 Keynote

    8 Jun ·  Video

    WWDC26 Keynote

    Tune in to the WWDC26 keynote introducing Siri AI powered by Apple Intelligence — our most personal Siri update ever. You’ll also learn about expanded trust and safety features, and improvements to iOS 27, iPadOS 27, macOS 27, watchOS 27, visionOS 27, and tvOS 27.

  • AI Drew Ketchup. It Kept Drawing Heinz.

    2 days ago

    AI Drew Ketchup. It Kept Drawing Heinz.

    AI image generation can produce a Victorian bakery run by a polar bear in seconds. But what is actually happening inside the machine? Does it imagine the scene, copy existing pictures, or calculate its way from random noise to a convincing image? In this episode of A Beginner’s Guide to AI, we look inside text-to-image AI. You will learn how diffusion models turn noise into pictures, how GANs improve through competition, how prompts guide the process and why the same request can produce a different result every time. We also examine the uncomfortable part. AI-generated images can appear realistic while containing impossible reflections, invented product features, distorted anatomy or biases inherited from training data. A picture can look convincing without showing anything that has ever existed. 🍅 The Heinz A.I. Ketchup campaign gives us a remarkable business case. When DALL-E Two was asked to generate ketchup, it repeatedly created bottles that resembled Heinz. The machine had not performed a taste test. It was reflecting a powerful association within its training data. Heinz turned that association into a successful marketing idea. 🎯 Key takeaways: How AI image generation worksHow diffusion models create images from noiseThe difference between diffusion models and GANsWhy prompts guide rather than precisely command the modelHow training data shapes visual outputWhat AI image bias means for brandsWhy realistic AI images still require human verificationWhat marketers can learn from the Heinz AI Ketchup campaign 📧💌📧 Tune in to get my thoughts and all episodes, and don’t forget to subscribe to our newsletter at beginnersguideto.ai. 📧💌📧 About Dietmar FischerDietmar is a podcaster and digital marketer from Argo.berlin. If you want to get your AI or digital marketing activities moving, contact him at argoberlin.com. Quotes from the Episode“A convincing result can therefore be internally impossible.” “The machine supplied the pictures. The creative team supplied the point.” “AI can generate the image, but it cannot decide whether the image is accurate, responsible or worth publishing.” Chapters00:00 When AI Thinks Ketchup Means Heinz 03:05 How AI Turns Noise Into Images 17:27 The Cake Test: Diffusion Models vs GANs 21:02 Heinz and the AI Ketchup Campaign 25:19 Test the Machine’s Imagination 26:58 What AI Images Really Mean Sources and Further ReadingOpenAI on DALL-E Two The One Show: A.I. Ketchup Clio Awards: A.I. Ketchup Ads of the World: A.I. Ketchup Hosted on Acast. See acast.com/privacy for more information.

  • Ubiquiti

    4 Aug

    Ubiquiti

    Nickolas Sharp worked for Ubiquiti, a company that makes networking equipment. He noticed that there were some security problems at work. He tried to point them out, but didn't feel like he was being listened to enough. What do you do when the company you work for isn't securing their software up to your standards? Well, he thought he needed to teach them a lesson, but in the end, he learned an even bigger lesson. SponsorsThis show is brought to you by Drata. Drata is the trust management platform that uses AI-driven automation to modernize governance, risk, and compliance, helping thousands of businesses stay audit-ready and scale securely. Learn more at drata.com/darknetdiaries.This show is sponsored by Material Security. Your cloud office (think Google Workspace or Microsoft 365) is the core of your business, but it’s often protected by scattered tools and manual fixes. Material is a purpose-built detection and response platform that closes the gaps those point solutions leave behind. From email threats to misconfigurations and account takeovers, Material monitors everything and steps in with real-time fixes to keep your data flowing where it should. Learn more at https://material.security. Support for this show comes from ThreatLocker. ThreatLocker is a Zero Trust Platform that gives organizations control over what can run and what users and devices can access. It combines prevention with real time detection and automated response, helping security teams stop unauthorized activity and quickly contain compromised machines. Learn how ThreatLocker can strengthen your defenses at threatlocker.com/Darknet. View all active sponsors. SourcesFull list of sources on the show page: https://darknetdiaries.com/episode/178/

  • Less guilt, more joy: A new chapter for climate action

    4 Sept

    Less guilt, more joy: A new chapter for climate action

    Climate action usually means sacrifice: eat less meat, buy less, drive less. What if there's another approach? Researcher Elizabeth Dunn shares climate hacks that help the planet AND make us happier. 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

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