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  • Data Engineering Podcast
    Data Engineering Podcast

    1

    Data Engineering Podcast

    Tobias Macey

  • All-In with Chamath, Jason, Sacks & Friedberg
    All-In with Chamath, Jason, Sacks & Friedberg

    2

    All-In with Chamath, Jason, Sacks & Friedberg

    All-In Podcast, LLC

  • TED Radio Hour
    TED Radio Hour

    3

    TED Radio Hour

    NPR

  • Daily Tech News Show
    Daily Tech News Show

    4

    Daily Tech News Show

    Tom Merritt

  • Product Management: Growth through Failure
    Product Management: Growth through Failure

    5

    Product Management: Growth through Failure

    Mark Rennie

  • Search Engine
    Search Engine

    6

    Search Engine

    PJ Vogt

  • Same Brain
    Same Brain

    7

    Same Brain

    iJustine and Jenna

Essentials

  • برق مع عبدالله السبع
    Tech News
    Tech News

    Updated 15/10/2020

  • Lew Later
    Technology
    Technology

    Updated daily

  • Tech Life
    Technology
    Technology

    Updated weekly

  • Babbage from The Economist
    Science
    Science

    Updated weekly

  • Decoder with Nilay Patel
    Business
    Business

    Updated weekly

  • Darknet Diaries
    Technology
    Technology

    Monthly

  • TED Radio Hour
    Technology
    Technology

    Updated weekly

  • How to mend a broken heart

    2 DAYS AGO

    1

    How to mend a broken heart

    When stress, fear or sadness weigh on us, our hearts can suffer — even break. But there are ways to mend our broken hearts. This hour, TED speakers share stories and ideas about soothing heartache. Guests include cardiologist Sandeep Jauhar, law professor Jeannie Suk Gersen, pediatric nurse Hui-wen Sato, and social worker Knut Ivar Bjørlykhaug. This episode originally aired October 1, 2021. TED Radio Hour+ listeners now get access to bonus episodes, with more ideas from TED speakers and deeper conversations with Manoush. By signing up for Plus, you directly support our work and public media, so all your episodes (like this one!) come to you without sponsor breaks. Learn more at plus.npr.org/ted. 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

    2 days ago

    •
    50 min
  • Switch 2 Prices Rise, Forecast Drops - DTNS 5265

    2 DAYS AGO

    2

    Switch 2 Prices Rise, Forecast Drops - DTNS 5265

    And thousands of schools facing ransomware as finals loom, but Airpods might get Siri’s Visual Intelligence. Starring Jason Howell and Huyen Tue Dao. Links to stories discussed in this episode can be found here. Hosted on Acast. See acast.com/privacy for more information.

    2 days ago

    •
    30 min
  • Jenna goes to China and iJustine turns 20?!

    21 HR AGO

    3

    Jenna goes to China and iJustine turns 20?!

    Another day, another Same Brain but this time they aren’t tired, hungry or sicks! Jenna talks about her recent trip to China and iJustine turns 20?!

    21 hr ago

    •
    38 min
  • A Perfectly Average Anomaly

    19/12/2025

    4

    A Perfectly Average Anomaly

    A man walks into an airport body scanner, and with eerie consistency, the machine flags the exact same part of his body. What could be going on? Search Engine investigates a Bermuda Triangle. Incognito Mode⁠, our ad-free, no-rerun, bonus episode feed. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

    19/12/2025

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

    23 MAR

    5

    #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

    23 Mar

    •
  • مدير التطوير بأوبر: كيف تبني فريق تقني عالمي | أنس سلمان

    25/07/2025

    6

    مدير التطوير بأوبر: كيف تبني فريق تقني عالمي | أنس سلمان

    حلقة جديدة من بودكاست تقني بحت حيث استضيف فيها أنس سلمان الذي يعمل كمدير تطوير مع شركة أوبر في فرع هولندا. أنس ما شاء الله عليه مدرسة في ادارة الفرق التقنية من خلال التجارب الكثيرة التي مر بها بكل الشركات التي عمل معها مثل سوق.كوم، أمازون، بوكنج.كوم وأوبر. أنس كان كريم جداً بالحلقة واعطانا معلومات قيمة جداً عن بناء فرق تقنية ناجحة وبفعالية عالية. استفدت انا شخصياً بشكل ضخم من الحلقة وانصح الجميع بقطاع التكنولوجيا أن يشاهدوها او يستمعوا لها. كل الشكر والتقدير لأنس ونتمنى له دوام التوفيق والنجاح.

    25/07/2025

    •
    2h 33m
  • Apple Might Owe You Money!

    2 DAYS AGO

    7

    Apple Might Owe You Money!

    Not a lot happened this week but we still somehow yapped for almost two hours about everything from Apple paying out for misleading customers about Apple Intelligence to whether it's pronounced "Read receipts" or "Read receipts." It's a good mix of news, games, and rants this week. Enjoy! Links: Bloomberg - Apple Intelligence AI Models for different features Verge - Apple paying iPhone users for bad AI Siri Verge - Google Home Gemini can now do more complicated requests Foundation Disc Golf Creators Cup Caira camera Google on X - Android Show David's viral post Follow us on socials: Marques: ⁠https://www.threads.net/@mkbhd⁠ Andrew: ⁠https://www.threads.net/@andrew_manganelli⁠ David: ⁠https://www.threads.net/@davidimel⁠ Adam: ⁠https://www.threads.net/@parmesanpapi17⁠ Ellis: ⁠https://twitter.com/EllisRovin⁠ Mariah: ⁠https://www.instagram.com/totallynotabusinessacc/⁠ Waveform Threads: ⁠https://www.threads.net/@waveformpodcast⁠ Waveform Instagram: ⁠https://www.instagram.com/waveformpodcast/?hl=en⁠ Waveform TikTok: ⁠https://www.tiktok.com/@waveformpodcast⁠ Join the Discord: ⁠https://discord.gg/mkbhd⁠ Intro/Outro music by 20syl: ⁠https://bit.ly/2S53xlC⁠ Waveform is part of the Vox Media Podcast Network. Learn more about your ad choices. Visit podcastchoices.com/adchoices

    2 days ago

    •
    1hr 54min
  • Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes

    4 DAYS AGO

    8

    Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes

    Summary In this episode Robert Nishihara, co-founder of Anyscale and co-creator of Ray, talks about maximizing hardware utilization for AI and data-intensive workloads. He explores Ray’s evolution alongside Kubernetes and PyTorch, and why consolidation at these layers has enabled a new generation of complex, heterogeneous workloads. Robert explains how data preparation has shifted to GPU- and inference-heavy, multimodal pipelines; where Ray fits compared to Spark and workflow orchestrators; and why Ray excels at composing heterogeneous pools of compute, handling failures, and scaling complex systems like multi-node LLM inference and reinforcement learning. He digs into practical strategies for boosting GPU utilization across training and inference, elasticity and prioritization of workloads, topology-aware scheduling, and the importance of fast failure recovery as hardware scales from nodes to racks. If you’re wrestling with expensive GPUs, multimodal data curation, or cross-node LLM inference, this conversation offers concrete mental models and architectural guidance. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data managementYour host is Tobias Macey and today I'm interviewing Robert Nishihara about the challenges of maximizing the utility of your available hardware for AI applicationsInterview IntroductionHow did you get involved in the area of data management?Can you start by giving an overview of the major contributors to wasted or idle compute?Why does it matter if the available compute isn't being maximized?What are some of the typical ad-hoc methods that teams might use to try to get the most out of their available hardware (especially GPUs)? What are the most interesting, innovative, or unexpected ways that you have seen Ray used?What are the most interesting, unexpected, or challenging lessons that you have learned while working on Ray and distributed compute for data and AI?When is Ray the wrong choice?What do you have planned for the future of Ray?Contact Info LinkedInParting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The AI Engineering Podcast is your guide to the fast-moving world of building AI systems.Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com with your story.Links AnyScaleRayDeep LearningComputer VisionKubernetesCursorClaude CodeKube-RayPyTorchTensorflowTheanoCaffevLLMSGLangRay TuneNeural NetworkLearning RatesReinforcement LearningAlphaGoCursor Composer 2ImageNetTransformer ArchitectureStochastic Gradient DescentAirflowDagsterFlyteMixture of ExpertsPrefillTemporalActor FrameworkRDMA == Remote Direct Memory AccessNeocloudsAI Engineering Podcast EpisodeThe intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

    4 days ago

    •
    59 min
  • Who Cares About Consumer AI

    4 DAYS AGO

    9

    Who Cares About Consumer AI

    Consumer AI is the fastest-growing tech category in history, but the AI industry’s money, attention, and compute are moving hard toward enterprise and coding agents. NLW explores why consumer AI suddenly feels secondary, why token consumption may matter more than paid seats, and why ads, agentic commerce, and AI devices may be the only paths that make consumer AI economically impossible to ignore. In the headlines: Coinbase layoffs and the AI alibi, Anthropic’s massive Google Cloud deal, Palantir earnings, Larry Fink on compute as a commodity, and Cerebras IPO demand. April AI Usage Pulse Survey: ⁠⁠⁠⁠⁠⁠https://tally.so/r/LZEyGy⁠⁠⁠⁠⁠⁠ Check out the new AI Executive Catch-Up Program from AIDB Training: ⁠https://aiexecutivecatchup.com/ Also registering for Cohort 3: http://enterpriseclaw.ai/ Brought to you by: KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG’s new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/Navigate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Granola - The AI notepad for people in back-to-back meetings. 100% off your first 3 months with code AIDAILY at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://granola.ai/aidaily⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mercury - Modern banking for business and now personal accounts. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://mercury.com/personal-banking⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Zenflow Work - Agents for knowledge work - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://zenflow.free/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Drata - The agentic trust management platform - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://drata.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 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. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring the show? sponsors@aidailybrief.ai

    4 days ago

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    31 min
  • Why are people excited about nuclear power again?

    2 DAYS AGO

    10

    Why are people excited about nuclear power again?

    Nuclear energy was a taboo for decades, but it’s coming back, it’ll power AI data centers for Google and Microsoft. What does new nuclear technology look like, and why do the nuclear optimists believe this new tech is superior? Meltdowns, reactors that can fit in your backyard, and one podcaster’s heroic attempt to describe nuclear fission. Rachel Slaybaugh Rebecca Tuhus-Dubrow (check out her book Atomic Dreams) Adam Stein Search Engine’s episodes on data centers: Colossus 1 & Colossus 2 Support the show! To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

    2 days ago

    •
    53 min

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