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  • Tim Cook’s Legacy + The Future of U.B.I. With Andrew Yang + HatGPT

    4 DAYS AGO

    1

    Tim Cook’s Legacy + The Future of U.B.I. With Andrew Yang + HatGPT

    This week, Tim Cook announced he would step down as chief executive of Apple. We discuss what he got right and what he got wrong, and we offer some unsolicited advice for his replacement, John Ternus. Then, Andrew Yang joins us to discuss A.I.-powered job automation and why universal basic income may be making a comeback. And finally, we catch up on more recent tech news with a round of HatGPT.   Guest: Andrew Yang, chief executive of Noble Mobile and author of “Hey Yang, Where’s My Thousand Bucks?”   Additional Reading: Tim Cook Will Step Down as Apple C.E.O. Who Is John Ternus, Apple’s Low-Profile Leader? Why U.B.I. Is Making a Comeback His 2020 Campaign Message: The Robots Are Coming This Pasta Sauce Wants to Record Your Family Chinese Robot Beats Human Best Time in Half-Marathon, After a Stumble What Happens When A.I. Runs a Store in San Francisco? Meta to Start Capturing Employee Mouse Movements, Keystrokes for A.I. Training Data SpaceX Strikes Deal With Cursor for $60 Billion OpenAI Beefs Up ChatGPT’s Image Generation Model   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.

    4 days ago

    •
    1hr 15min
  • Late Night Linux – Episode 383

    23 HR AGO

    2

    Late Night Linux – Episode 383

    Whether you can trust small new distros, Amazon is officially abandoning Android on its new TV sticks in favour of their new Linux-based OS, and we have another pointless argument about AI bollocks.   News/discussion Amazon won’t release Fire Sticks that support sideloading anymore Eternal November — this new influx of users may be better than the last one                 Support us on patreon and get an ad-free RSS feed with some early episodes   See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

    23 hr ago

    •
    29 min
  • Multi-agent collaboration

    1 DAY AGO

    3

    Multi-agent collaboration

    Explore Think 2026: https://www.ibm.biz/think2026event    This episode of *Techsplainers* explores multi-agent collaboration, where multiple AI agents work together as a coordinated team to accomplish complex tasks. We explain how these systems have evolved beyond traditional LLMs to create autonomous workflows for research, support, analysis, and operations. The discussion covers key collaboration models including rule-based, role-based, and model-based approaches, and examines leading frameworks like IBM's Bee Agent, LangChain, and OpenAI's Swarm. We also highlight Watsonx Orchestrate as an enterprise solution for orchestrating AI-enabled workflows through interconnected components. Throughout the episode, we use the analogy of drone teams searching disaster sites to illustrate how independent agents can coordinate effectively without centralized control to tackle complex challenges that would overwhelm a single agent.  Find more information at https://www.ibm.com/think/topics/multi-agent-collaboration  Find more episodes at https://www.ibm.biz/techsplainers-podcast  Narrated by Matt Finio

    1 day ago

    •
    9 min
  • What is data governance?

    4 DAYS AGO

    4

    What is data governance?

    This episode of Techsplainers explores data governance, the essential framework that ensures organizational data is properly managed, protected, and utilized. Amanda explains how data governance serves as an ""air traffic control system"" for information, defining policies and procedures for data collection, storage, and usage throughout its lifecycle. The discussion covers the four key components of governance frameworks: program goals and roles, data standards and policies, auditing procedures, and supporting tools. We examine how effective governance delivers tangible benefits including enhanced data value, balanced access, compliance with regulations like GDPR and HIPAA, and responsible AI development. The episode also addresses common implementation challenges such as lack of sponsorship, inconsistent architecture, and evolving AI requirements, before concluding with best practices including automation, creating a comprehensive data catalog, and continuous improvement. As the final installment in our data for AI series, this episode demonstrates how governance provides the structure that enables everything from AI-ready data to synthetic data creation.  Find more information at https://www.ibm.com/think/topics/data-governance  Find more episodes at https://www.ibm.biz/techsplainers-podcast  Narrated by Amanda Downie

    4 days ago

    •
    10 min
  • Everyone Is Lying to You For Money

    17 APR

    5

    Everyone Is Lying to You For Money

    Back in the depths of the pandemic, what was an actor to do? Ben McKenzie started looking into cryptocurrency—and his research yielded both a book and a new documentary. The works are both non-fiction, which is more than McKenzie can say for crypto. Guest: Ben McKenzie, actor, director of the documentary Everyone Is Lying to You for Money, and co-author of Easy Money: Cryptocurrency, Casino Capitalism, and the Golden Age of Fraud. Want more What Next TBD? Subscribe to Slate Plus to access ad-free listening to the whole What Next family and all your favorite Slate podcasts. Subscribe today on Apple Podcasts by clicking “Try Free” at the top of our show page. Sign up now at slate.com/whatnextplus to get access wherever you listen. Podcast production by Evan Campbell, and Patrick Fort. Hosted on Acast. See acast.com/privacy for more information.

    17 Apr

    •
    35 min
  • Google to invest up to $40B in Anthropic

    3 DAYS AGO

    6

    Google to invest up to $40B in Anthropic

    Plus - Bob Iger rejoins Thrive Capital as advisor after Disney exit; Meta signs deal for millions of Amazon AI CPUs Learn more about your ad choices. Visit podcastchoices.com/adchoices

    3 days ago

    •
    6 min
  • Meta is revamping its cross-app management system

    4 DAYS AGO

    7

    Meta is revamping its cross-app management system

    Plus - X is shutting down Communities because of low usage and lots of spam; Microsoft offers buyout for up to 7% of U.S. employees Learn more about your ad choices. Visit podcastchoices.com/adchoices

    4 days ago

    •
    7 min
  • Google Maps is about to get a big dose of AI

    5 DAYS AGO

    8

    Google Maps is about to get a big dose of AI

    Plus - Meta will record employees’ keystrokes and use it to train its AI models; Amazon Music partners with Bandsintown for concert listings Learn more about your ad choices. Visit podcastchoices.com/adchoices

    5 days ago

    •
    8 min
  • What is synthetic data?

    5 DAYS AGO

    9

    What is synthetic data?

    This episode of Techsplainers explores synthetic data - artificially generated information designed to mimic real-world data while preserving statistical properties and patterns. Amanda explains how synthetic data has become critical for AI development by addressing issues of data scarcity, privacy concerns, and training needs. The discussion covers the three types of synthetic data (fully synthetic, partially synthetic, and hybrid) and various generation techniques including statistical methods, GANs, transformer models, VAEs, and agent-based modeling. We examine the significant benefits of synthetic data - customization flexibility, improved efficiency, enhanced privacy protection, and data enrichment - while also addressing challenges like bias propagation, model collapse, accuracy-privacy tradeoffs, and verification needs. The episode concludes with real-world applications across automotive, finance, healthcare, and manufacturing industries, demonstrating how synthetic data is becoming essential for AI development.  Find more information at https://www.ibm.com/think/topics/synthetic-data  Find more episodes at https://www.ibm.biz/techsplainers-podcast  Narrated by Amanda Downie

    5 days ago

    •
    9 min

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