Podcasts about OpenAI

Anthropic is trolling OpenAI, but they got here… by destroying 1 million books.Chipotle is raising guac prices… it's ok with ppl making less than $100k going to Taco Bell.Bad Bunny is the Halftime Show performer… but do you know the business of Bad Bunny?Plus, football players have made a big pivot… they're all buying Hermes Birkin Bags.$CMG $HESAY $AMZNAnthropic's Super Bowl commercials:#1: https://youtu.be/kQRu7DdTTVA?si=GId96WxL4sImMmSD #2: https://www.youtube.com/watch?v=FBSam25u8O4 Sam Altman's response: https://x.com/sama/status/2019139174339928189 Buy tickets to The IPO Tour (our In-Person Offering) TODAYAustin, TX (2/25): SOLD OUTArlington, VA (3/11): https://www.arlingtondrafthouse.com/shows/341317 New York, NY (4/8): https://www.ticketmaster.com/event/0000637AE43ED0C2Los Angeles, CA (6/3): SOLD OUTGet your TBOY Yeti Doll gift here: https://tboypod.com/shop/product/economic-support-yeti-doll NEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

Pivot takes a look at Anthropic's surprise Super Bowl offensive against OpenAI, and Scott explains why he thinks they are "the definition of intelligent branding." Also, Kara and Scott unpack Alphabet's blockbuster earnings, and what a potential Clinton testimony in the Epstein case could mean. Then: Disney finally names Bob Iger's successor after years of drama, and The Washington Post slashes a third of its workforce in devastating layoffs. Is this Kara's moment to step in and buy it? Scott has some thoughts. Watch this episode on the ⁠⁠Pivot YouTube channel⁠⁠.Follow us on Instagram and Threads at ⁠⁠@pivotpodcastofficial⁠⁠.Follow us on Bluesky at ⁠⁠@pivotpod.bsky.social⁠⁠Follow us on TikTok at ⁠⁠@pivotpodcast⁠⁠.Send us your questions by calling us at 855-51-PIVOT, or email pivot@voxmedia.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week, the A.I. initial-public-offering race is heating up! We break down SpaceX's acquisition of xAI, as well as OpenAI and Nvidia's messy situationship. Then, it's time for show and tell. We got our hands on the latest experimental A.I. prototype from Google called Project Genie, and we discuss our experience using it to generate and navigate video-game-like environments. Finally, we're joined by Moltbook's founder, Matt Schlicht, to discuss his new social media platform for A.I. agents, and how he's planning to deal with security risks and spam on the site. Guest:Matt Schlicht, creator of Moltbook Additional Reading: Elon Musk Merges SpaceX With His A.I. Start-Up xAIThe $100 Billion Megadeal Between OpenAI and Nvidia Is on IceProject Genie: Experimenting with infinite, interactive worldsAn A.I. Pioneer Warns the Tech ‘Herd' Is Marching Into a Dead EndMoltbook Mania Explained 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.

A new tranche of Jeffrey Epstein's emails makes one thing painfully clear: Epstein was a central figure in the lives of a lot of big names in tech, and had influence on a surprising number of companies and executives. David and Nilay talk through what we've learned from the new emails so far. Then they turn to Anthropic's spicy new Super Bowl ads about... ads, which caused a big reaction from OpenAI (which is betting big on ads). They also discuss this week's antitrust hearing about Netflix's purchase of Warner Bros., the latest in Brendan Carr is a Dummy, Google Home's big buttons upgrade, and much more. Further reading: Here's how Epstein broke the internet Former Windows 8 boss recruited Epstein to help negotiate his messy Microsoft exit Jeffrey Epstein arranged a meeting with Tim Cook for the former head of Windows The Epstein files  Google co-founder Sergey Brin visited Epstein's private island and traded emails with Ghislaine Maxwell. It turns out Elon Musk didn't exactly ‘refuse' the invite to Jeffrey Epstein's island.  Will Elon Musk's emails with Jeffrey Epstein derail his very important year?  Bill Gates says accusations contained in Epstein files are ‘absolutely absurd' Jeffrey Epstein was permanently banned from Xbox Live  ‘We've basically funded an elite global pedophile ring since 2015.'  Anthropic says ‘Claude will remain ad-free,' unlike an unnamed rival Anthropic's blog post: Claude is a space to think Sam Altman responds to Anthropic's ‘funny' Super Bowl ads  OpenAI's CMO on X Nvidia CEO denies he's ‘unhappy' with OpenAI Netflix lands in the middle of a culture war during Senate hearing Everyone is stealing TV  Disney says Josh D'Amaro will replace Bob Iger as CEO  FCC aims to ensure “only living and lawful Americans” get Lifeline benefits Elon Musk is merging SpaceX and xAI to build data centers in space — or so he says  Peloton's gamble on expensive new hardware has yet to pay off Google Home finally adds support for buttons  Raspberry Pi is raising prices again as memory shortages continue  Valve's Steam Machine has been delayed, and the RAM crisis will impact pricing  Aluminium: Why Google's Android for PC launch may be messy and controversial Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Episode 774: Neal and Toby preview the biggest headlines ahead of the Super Bowl, starting with Anthropic throwing jabs at OpenAI. Then, a report shows January was a bad month for the job market with layoffs being the highest in years. And, Caterpillar gets a boost on its power and energy generators thanks to AI. Meanwhile, bitcoin falls below $70,000. Finally, it's a rundown of the biggest storylines from the Winter Olympics. Learn more about Sandals at sandals.com  Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Listen to Morning Brew Daily Here:⁠ ⁠⁠https://www.swap.fm/l/mbd-note⁠⁠⁠  Watch Morning Brew Daily Here:⁠ ⁠⁠https://www.youtube.com/@MorningBrewDailyShow⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's “Marketplace Tech Bytes: Week in Review,” we take a look at Nvidia's changing investment relationship with OpenAI. Plus, a stormy start for the new U.S. version of TikTok. But first, SpaceX, one of the world's largest rocket companies, announced this week that it's buying xAI, a two-and-half-year-old artificial intelligence startup. Both companies are controlled by Elon Musk. The new company is reportedly valued at $1.25 trillion. It means the chatbot Grok, the satellite internet company Starlink, and the social media firm X are all going to co-exist under the same rocket hangar. Marketplace's Stephanie Hughes spoke with Paresh Dave, senior writer at Wired, about what adding these companies together equals.

On this week's “Marketplace Tech Bytes: Week in Review,” we take a look at Nvidia's changing investment relationship with OpenAI. Plus, a stormy start for the new U.S. version of TikTok. But first, SpaceX, one of the world's largest rocket companies, announced this week that it's buying xAI, a two-and-half-year-old artificial intelligence startup. Both companies are controlled by Elon Musk. The new company is reportedly valued at $1.25 trillion. It means the chatbot Grok, the satellite internet company Starlink, and the social media firm X are all going to co-exist under the same rocket hangar. Marketplace's Stephanie Hughes spoke with Paresh Dave, senior writer at Wired, about what adding these companies together equals.

Anthropic dropped Claude Opus 4.6 and OpenAI responded with GPT 5.3 Codex just 20 minutes later — the most intense head-to-head model release we've ever seen. Here's what each model brings, how they compare, and what the first reactions are telling us. In the headlines: Google and Amazon share their capex plans, and we're about to spend 2.5 moon landings on AI. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace AI Launchpad - Build, test and scale intelligent workloads faster - ⁠⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠https://www.optimizely.com/insights/agents-in-action/⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Build an AI workforce at scale - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.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/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) AI worries crush software stocks 2) Why is software in the crosshairs? 3) Is it vibecoding or that software becomes an input into AI bots 4) Why software might make it through 5) Anthropic's legal plugin that set it off 6) Okay, so no AI bubble? 7) Anthropic's Super Bowl ad attacks OpenAI 8) OpenAI's response 9) OpenAI losing share to rival chatbots 10) What the hell is happening to Bitcoin? 11) --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

Join Simtheory: https://simtheory.aiRegister for the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80It's the model same-day showdown of 2026. Opus 4.6 and Codex 5.3 dropped within minutes of each other, and we're breaking down what this means for the future of AI work. In this episode, we unpack Opus 4.6's million-token context window (if you've got billies in the bank), why Codex's pricing makes it nearly impossible to ignore for agentic loops, and the real cost of running agents for 24 hours ($10K, apparently). We dive deep into why coding-optimized models are secretly crushing it at non-coding tasks, the mental fatigue of managing AI workers, and whether the chatbot era is actually fading or just evolving. Plus: Chris accidentally books three real pig grooming appointments, we debate whether you need a "life coach agent" to manage your agent swarm, and yes – there's an Opus 4.6 diss track that goes unreasonably hard.CHAPTERS:0:00 Intro - Opus 4.6 Diss Track Preview0:09 The Model Same-Day Showdown: Opus 4.6 vs Codex 5.30:50 Opus 4.6 Breakdown: Million Token Context & Premium Pricing2:31 Token Bill Shock: $10K Research Bills & Extended Context Costs5:04 Codex Pricing: Why It's Nearly Free for Agentic Loops6:42 Why Coding Models Are Secretly Crushing Non-Coding Tasks10:14 Tool Fatigue: Too Many Models, Too Many Workflows12:47 Opus 4.6 First Impressions: "Solid" and "Faultless"13:48 Chris Accidentally Books Three Real Pig Grooming Appointments16:01 Unix Tools & Why Code-Optimized Models Win at Everything19:59 The Agentic Retraining Imperative: Chat to Delegation22:16 Agent Swarms & The Master Thread Architecture24:51 OpenAI vs Anthropic: The Enterprise Battle27:09 Corporate Espionage 2.0: Stealing Skills & The Open Source Threat31:19 The UX Problem: Why Delegation Isn't Solved Yet34:24 The Stress of Hyper-Productivity & Managing Agent Swarms37:07 Coordination: The Next Layer of Abstraction40:09 The Fantasy vs Reality of Autonomous AI Businesses44:37 Is the Turn-by-Turn Chatbot Era Actually Fading?49:23 Tokens as Spice: Turning Compute Into Money52:08 Reduce Cognitive Overload: The Real Goal of AI55:07 Still Relevant Tour Announcement55:39 BONUS: Full Opus 4.6 Diss TrackThanks for listening. Like & Sub. Links below for the Still Relevant Tour signup and Simtheory. The model wars are heating up, and your token bill is about to get interesting. xoxo

OpenAI ya está metiendo anuncios en ChatGPT. Y Anthropic la ha atacado por ello en la Super Bowl. Pero la guerra real es otra: decidir si la IA será el nuevo YouTube o el nuevo Netflix. Y ninguna de las dos opciones es ideal.Loop Infinito, podcast de Xataka, de lunes a viernes a las 7.00 h (hora española peninsular). Presentado por Javier Lacort. Editado por Alberto de la Torre.Contacto:

Our 233rd episode with a summary and discussion of last week's big AI news!Recorded on 01/30/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Google introduces Gemini AI agent in Chrome for advanced browser functionality, including auto-browsing for pro and ultra subscribers.OpenAI releases ChatGPT Translator and Prism, expanding its applications beyond core business to language translation and scientific research assistance.Significant funding rounds and valuations achieved by startups Recursive and New Rofo, focusing on specialized AI chips and optical processors respectively.Political and social issues, including violence in Minnesota, prompt tech leaders in AI like Ade from Anthropic and Jeff Dean from Google to express concerns about the current administration's actions.Timestamps:(00:00:10) Intro / BanterTools & Apps(00:04:09) Google adds Gemini AI-powered ‘auto browse' to Chrome | The Verge(00:07:11) Users flock to open source Moltbot for always-on AI, despite major risks - Ars Technica(00:13:25) Google Brings Genie 3 'World Building' Experiment to AI Ultra Subscribers - CNET(00:16:17) OpenAI's ChatGPT translator challenges Google Translate | The Verge(00:18:27) OpenAI launches Prism, a new AI workspace for scientists | TechCrunchApplications & Business(00:19:49) Exclusive: China gives nod to ByteDance, Alibaba and Tencent to buy Nvidia's H200 chips - sources | Reuters(00:22:55) AI chip startup Ricursive hits $4B valuation 2 months after launch(00:24:38) AI Startup Recursive in Funding Talks at $4 Billion Valuation - Bloomberg(00:27:30) Flapping Airplanes and the promise of research-driven AI | TechCrunch(00:31:54) From invisibility cloaks to AI chips: Neurophos raises $110M to build tiny optical processors for inferencing | TechCrunchProjects & Open Source(00:35:34) Qwen3-Max-Thinking debuts with focus on hard math, code(00:38:26) China's Moonshot releases a new open-source model Kimi K2.5 and a coding agent | TechCrunch(00:46:00) Ai2 launches family of open-source AI developer agents that adapt to any codebase - SiliconANGLE(00:47:46) Tiny startup Arcee AI built a 400B-parameter open source LLM from scratch to best Meta's LlamaResearch & Advancements(00:52:53) Post-LayerNorm Is Back: Stable, ExpressivE, and Deep(00:58:00) [2601.19897] Self-Distillation Enables Continual Learning(01:03:04) [2601.20802] Reinforcement Learning via Self-Distillation(01:05:58) Teaching Models to Teach Themselves: Reasoning at the Edge of LearnabilityPolicy & Safety(01:09:13) Amodei, Hoffman Join Tech Workers Decrying Minnesota Violence - BloombergSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on Your Undivided Attention, we're bringing you Aza Raskin's conversation with Reid Hoffman and Aria Finger on their podcast “Possible”. Reid and Aria are both tech entrepreneurs: Reid is the founder of LinkedIn, was one of the major early investors in OpenAI, and is known for his work creating the playbook for blitzscaling. Aria is the former CEO of DoSomething.org. This may seem like a surprising conversation to have on YUA. After all, we've been critical of the kind of “move fast” mentality that Reid has championed in the past. But Reid and Aria are deeply philosophical about the direction of tech and are both dedicated to bringing about a more humane world that goes well. So we thought that this was a critical conversation to bring to you, to give you a perspective from the business side of the tech landscape. In this episode, Reid, Aria, and Aza debate the merits of an AI pause, discuss how software optimization controls our lives, and why everyone is concerned with aligned artificial intelligence — when what we really need is aligned collective intelligence.  This is the kind of conversation that needs to happen more in tech. Reed has built very powerful systems and understands their power. Now he's focusing on the much harder problem of learning how to steer these technologies towards better outcomes.RECOMMENDED MEDIAAza's first appearance on “Possible”The website for Earth Species Project“Amusing Ourselves to Death” by Neil PostmanThe Moloch's Bargain paper from StanfordRECOMMENDED YUA EPISODESThe Man Who Predicted the Downfall of ThinkingAmerica and China Are Racing to Different AI FuturesTalking With Animals... Using AIHow OpenAI's ChatGPT Guided a Teen to His Death Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: Spotify will sell physical books in the U.S. and U.K. And Germany fines Amazon over price-filtering tools. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dan Nathan hosts Rishi Jaluria from RBC Capital on the 'Okay, Computer' podcast, discussing the recent downturn in software stocks amid a contrasting performance in the semiconductor sector. Rishi attributes the decline to the rise of AI and its transformative impact on software companies. The conversation covers the uncertain future of enterprise software, with examples like Salesforce and Oracle experiencing significant drops. They explore how AI adoption could drive margin expansion across various industries, including retail and oil and gas. Finally, the potential of companies like Microsoft and HubSpot to leverage AI for growth is considered, along with the future role of AI leaders OpenAI, Anthropic, and Google in shaping the tech landscape. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

Google said it plans to spend at least $55bn more on capital expenditure this year than Wall Street had forecast, US tech stocks were hit by a fresh wave of selling on Wednesday, and the FT's Chris Cook talks about the challenges of unpacking millions of documents on Jefferey Epstein. Plus, OpenAI senior staff are leaving because the company is prioritising ChatGPT. Mentioned in this podcast:Google adds $55bn to capex plans as it boosts AI spendingUS tech stocks hit with fresh wave of selling as chipmaker AMD tumblesPolice launch criminal investigation into Mandelson over Epstein scandalOpenAI's ChatGPT push triggers senior staff exitsNote: The FT does not use generative AI to voice its podcasts Credit: NBC NewsToday's FT News Briefing was hosted and edited by Marc Filippino, and produced by Fiona Symon, Victoria Craig and Sonja Hutson. Our show was mixed by Kelly Garry. Additional help from Gavin Kallmann, Michael Lello and David da Silva. Our executive producer is Topher Forhecz. Cheryl Brumley is the FT's Global Head of Audio. The show's theme music is by Metaphor Music. Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

SaaS stocks are selling off hard as investors start pricing in AI agents as a direct threat to software's growth, margins, and seat-based business models. This episode unpacks why markets suddenly believe something fundamental has shifted — and why claims of a full software apocalypse are overstated but directionally real. In the headlines, a rare public fight breaks out after Anthropic uses its first Super Bowl ads to attack AI advertising itself, prompting an unusually sharp response from OpenAI and exposing growing tension over how the AI industry wants to be seen.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace AI Launchpad - Build, test and scale intelligent workloads faster - ⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Opal - The agent orchestration platform build for marketers - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/theaidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Build an AI workforce at scale - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.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/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

January marked a clear break between the AI era people thought they were in and the one that actually arrived. Agentic coding crossed from novelty to default, tools like Claude Code reset expectations for what individuals can build, and systems such as OpenClaw and Moltbook showed how quickly agents are becoming ecosystems, not just features. This episode explains why the shift felt sudden, why it caught so many off guard, and why the real story isn't sentient agents but a widening gap between AI capability and real-world adoption. In the headlines: Nvidia and OpenAI, Intel's GPU pivot, Apple's embrace of agentic coding, developer dependence on Claude Code, and Disney's strategic turn toward experiences.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace AI Launchpad - Build, test and scale intelligent workloads faster - ⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Opal - The agent orchestration platform build for marketers - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/theaidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Build an AI workforce at scale - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.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/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

AGENDA: 00:00 - SpaceX Completes Acquisition of xAI in $1.25 Trillion Merger 08:44 - The Rehabilitation of the IPO and the End of "State Private Forever" 15:53 - The 2026 SaaS Massacre: Public Market Collapse  31:20 - Next-Gen CRM War: Hubspot Down 50%+ vs Next Gen Heavily Funded 45:30 - Microsoft's $360 Billion Market Cap Loss and the Shift in AI Narrative 52:45 - Nvidia's Strategic Retreat: The Dispute Over the $100 Billion OpenAI Investment 01:03:30 - Waymo Raises $16 Billion at a $110 Billion Valuation 01:17:30 - The Launch of OpenClaw and Moltbook: 1.5 Million Agents Join a Social Network    

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

It’s actually a good thing that some books push you to the edge of your ability to understand. But there’s no doubting the fact that dense, abstract and jargon-filled works can push you so far into the fog of frustration that you cannot blame yourself for giving up. But here’s the truth: You don’t have to walk away frustrated and confused. I’m going to share with you a number of practical strategies that will help you fill in the gaps of your reading process. Because that’s usually the real problem: It’s not your intelligence. Nor is it that the world is filled with books “above your level.” I ultimately don’t believe in “levels” as such. But as someone who taught reading courses at Rutgers and Saarland University, I know from experience that many learners need to pick up a few simple steps that will strengthen how they approach reading difficult books. And in this guide, you’ll learn how to read challenging books and remember what they say. I’m going to go beyond generic advice too. That way, you can readily diagnose: Why certain books feel so hard Use pre-reading tactics that prime your brain to deal with difficulties effectively Apply active reading techniques to lock in understanding faster Leverage accelerated learning tools that are quick to learn Use Artificial Intelligence to help convert tough convent into lasting knowledge without worrying about getting duped by AI hallucinations Whether you’re tacking philosophy, science, dense fiction or anything based primarily in words, the reading system you’ll learn today will help you turn confusion into clarity. By the end, even the most intimidating texts will surrender their treasures to your mind. Ready? Let’s break it all down together. https://www.youtube.com/watch?v=y9HLbY4jsFg Why Some Books Feel “Too Hard” (And What That Really Means) You know exactly how it feels and so do I. You sit down with a book that people claim is a classic or super-important. But within a few pages, your brain fogs over and you’re completely lost. More often than not, through glazed eyes, you start to wonder… did this author go out of his or her way to make this difficult? Are they trying to show off with all these literary pyrotechnics? Or is there a deliberate conspiracy to confuse readers like me? Rest assured. These questions are normal and well worth asking. The difficulty you might feel is never arbitrary in my experience. But there’s also no “single origin” explanation for why some books feel easier than others. It’s almost always a combination of factors, from cognitive readiness, lived experience, emotions and your physical condition throughout the day. This means that understanding why individual texts resist your understanding needs to be conducted on a case-by-case basis so you can move towards mastering anything you want to read. Cognitive Load: The Brain’s Processing “Stop Sign” “Cognitive load” probably needs no definition. The words are quite intuitive. You start reading something and it feels like someone is piling heavy bricks directly on top of your brain, squishing everything inside. More specifically, these researchers explain that what’s getting squished is specifically your working memory, which is sometimes called short-term memory. In practical terms, this means that when a book suddenly throws a bunch of unfamiliar terms at you, your working memory has to suddenly deal with abstract concepts, completely new words or non-linear forms of logic. All of this increases your cognitive load, but it’s important to note that there’s no conspiracy. In Just Being Difficult: Academic Writing in the Public Arena, a variety of contributors admit that they often write for other specialists. Although it would be nice to always compose books and articles for general readers, it’s not laziness. They’re following the codes of their discipline, which involves shorthand to save everyone time. Yes, it can also signal group membership and feel like an intellectual wall if you’re new to this style, but it’s simply a “stop sign” for your brain. And wherever there are stop signs, there are also alternative routes. Planning Your Detour “Roadmap” Into Difficult Books Let me share a personal example by way of sharing a powerful technique for making hard books easier to read. A few years ago I decided I was finally going to read Kant. I had the gist of certain aspects of his philosophy, but a few pages in, I encountered so many unfamiliar terms, I knew I had to obey the Cognitive Load Stop Sign and take a step back. To build a roadmap into Kant, I searched Google in a particular way. Rather than a search term like, “Intro to Kant,” I entered this tightened command instead: Filetype:PDF syllabus Kant These days, you can ask an LLM in more open language to simply give you links to the syllabi of the most authoritative professors who teach Kant. I’d still suggest that you cross-reference what you get on Google, however. If you’re hesitant about using either Google or AI, it’s also a great idea to visit a librarian in person to help you. Or, you can read my post about using AI for learning with harming your memory to see if it’s time to update your approach. Narrowing Down Your Options One way or another, the reason to consult the world’s leading professors is that their syllabi will provide you with: Foundational texts Core secondary literature Commentaries from qualified sources Essential historical references Once you’ve looked over a few syllabi, look through the table of contents of a few books on Amazon or Google Books. Then choose: 1-2 foundational texts to read before the challenging target book you want to master 1-2 articles or companion texts to read alongside In this way, you’ve turned difficulty into a path, not an obstacle. Pre-Reading Strategies That Warm Up Your Reading Muscles A lot of the time, the difficulty people feel when reading has nothing to do with the book. It’s just that you’re diving into unfamiliar territory without testing the waters first. Here are some simple ways to make unfamiliar books much easier to get into. Prime Like a Pro To make books easier to read, you can perform what is often called “priming” in the accelerated learning community. It is also sometimes called “pre-reading” and as this research article discusses, its success has been well-demonstrated. The way I typically perform priming is simple. Although some books require a slight change to the pattern, I typically approach each new book by reading: The back cover The index The colophon page The conclusion or afterword The most interesting or relevant chapter The introduction The rest of the book Activate Prior Knowledge Sometimes I will use a skimming and scanning strategy after reading the index to quickly familiarize myself with how an author approaches a topic with which I’m already familiar. This can help raise interest, excitement and tap into the power of context-dependent memory. For example, I recently started reading Doubt: A History by Jennifer Michael Hecht. Since the Renaissance memory master Giordano Bruno comes up multiple times, I was able to draw up a kind of context map of the books themes by quickly going through those passages. Take a Picture Walk Barbara Oakley and Terence Sejnjowski share a fantastic strategy in Learning How to Learn. Before reading, simply go through a book and look at all the illustrations, tables, charts and diagrams. It seems like a small thing. But it gives your brain a “heads up” about upcoming visual information that you may need to process than prose. I used to find visual information like this difficult, but after I started taking picture walks, I’m now excited to read “towards” these elements. If still find them challenging to understand, I apply a tip I learned from Tony Buzan that you might like to try: Rather than struggle to interpret a chart or illustration, reproduce it in your own hand. Here’s an example of how I did this when studying spaced repetition: As a result, I learned the graph and its concepts quickly and have never forgotten it. Build a Pre-Reading Ritual That Fits You There’s no one-sized-fits-all strategy, so you need to experiment with various options. The key is to reduce cognitive load by giving your mind all kinds of ways of understanding what a book contains. If it helps, you can create yourself a checklist that you slip into the challenging books on your list. That way, you’ll have both a bookmark and a protocol as you develop your own pre-reading style. Active Reading Techniques That Boost Comprehension Active reading involves deliberately applying mental activities while reading. These can include writing in the margins of your books, questioning, preparing summaries and even taking well-time breaks between books. Here’s a list of my favorite active reading strategies with ideas on how you can implement them. Using Mnemonics While Reading On the whole, I take notes while reading and then apply a variety of memory techniques after. But to stretch my skills, especially when reading harder books, I start the encoding process earlier. Instead of just taking notes, I’ll start applying mnemonic images. I start early because difficult terms often require a bit more spaced repetition. To do this yourself, the key is to equip yourself with a variety of mnemonic methods, especially: The Memory Palace technique The Pegword Method The Major System The PAO System And in some cases, you may want to develop a symbol system, such as if you’re studying physics or programming. Once you have these mnemonic systems developed, you can apply them in real time. For example, if you come across names and dates, committing them to memory as you read can help you keep track of a book’s historical arc. This approach can be especially helpful when reading difficult books because authors often dump a lot of names and dates. By memorizing them as you go, you reduce the mental load of having to track it all. For even more strategies you can apply while reading, check out my complete Mnemonics Dictionary. Strategic Questioning Whether you take notes or memorize in real-time, asking questions as you go makes a huge difference. Even if you don’t come up with answers, continually interrogating the book will open up your brain. The main kinds of questions are: Evaluative questions (checking that the author uses valid reasoning and address counterarguments) Analytical questions (assessing exactly how the arguments unfold and questioning basic assumptions) Synthetic questions (accessing your previous knowledge and looking for connections with other books and concepts) Intention questions (interrogating the author’s agenda and revealing any manipulative rhetoric) One medieval tool for questioning you can adopt is the memory wheel. Although it’s definitely old-fashioned, you’ll find that it helps you rotate between multiple questions. Even if they are as simple as who, what, where, when, how and why questions, you’ll have a mental mnemonic device that helps ensure you don’t miss any of them. Re-reading Strategies Although these researchers seem to think that re-reading is not an effective strategy, I could not live without it. There are three key kinds of re-reading I recommend. Verbalize Complexity to Tame It The first is to simply go back and read something difficult to understand out loud. You’d be surprised how often it’s not your fault. The author has just worded something in a clunky manner and speaking the phrasing clarifies everything. Verbatim Memorization for Comprehension The second strategy is to memorize the sentence or even an entire passage verbatim. That might seem like a lot of work, but this tutorial on memorizing entire passages will make it easy for you. Even if verbatim memorization takes more work, it allows you to analyze the meaning within your mind. You’re no longer puzzling over it on paper, continuing to stretch your working memory. No, you’ve effectively expanded at least a part of your working memory by bypassing it altogether. You’ve ushered the information into long-term memory. I’m not too shy to admit that I have to do this sometimes to understand everything from the philosophy in Sanskrit phrases to relatively simple passages from Shakespeare. As I shared in my recent discussion of actor Anthony Hopkins’ memory, I couldn’t work out what “them” referred to in a particular Shakespeare play. But after analyzing the passage in memory, it was suddenly quite obvious. Rhythmical Re-reading The third re-reading strategy is something I shared years ago in my post detailing 11 reasons you should re-read at least one book per month. I find this approach incredibly helpful because no matter how good you get at reading and memory methods, even simple books can be vast ecosystems. By revisiting difficult books at regular intervals, you not only get more out of them. You experience them from different perspectives and with the benefit of new contexts you’ve built in your life over time. In other words, treat your reading as an infinite game and never assume that you’ve comprehended everything. There’s always more to be gleaned. Other Benefits of Re-reading You’ll also improve your pattern recognition by re-treading old territory, leading to more rapid recognition of those patterns in new books. Seeing the structures, tropes and other tactics in difficult books opens them up. But without regularly re-reading books, it can be difficult to perceive what these forms are and how authors use them. To give you a simple example of a structure that appears in both fiction and non-fiction, consider in media res, or starting in the middle. When you spot an author using this strategy, it can immediately help you read more patiently. And it places the text in the larger tradition of other authors who use that particular technique. For even more ideas that will keep your mind engaged while tackling tough books, feel free to go through my fuller article on 7 Active Reading Strategies. Category Coloring & Developing Your Own Naming System For Complex Material I don’t know about you, but I do not like opening a book only to find it covered in highlighter marks. I also don’t like highlighting books myself. However, after practicing mind mapping for a few years, I realized that there is a way to combine some of its coloring principles with the general study principles of using Zettelkasten and flashcards. Rather than passively highlighting passages that seem interesting at random, here’s an alternative approach you can take to your next tour through a complicated book. Category Coloring It’s often helpful to read with a goal. For myself, I decided to tackle a hard book called Gödel Escher Bach through the lens of seven categories. I gave each a color: Red = Concept Green = Process Orange = Fact Blue = Historical Context Yellow = Person Purple = School of Thought or Ideology Brown = Specialized Terminology Example Master Card to the Categorial Color Coding Method To emulate this method, create a “key card” or “master card” with your categories on it alongside the chosen color. Use this as a bookmark as you read. Then, before writing down any information from the book, think about the category to which it belongs. Make your card and then apply the relevant color. Obviously, you should come up with your own categories and preferred colors. The point is that you bring the definitions and then apply them consistently as you read and extract notes. This will help bring structure to your mind because you’re creating your own nomenclature or taxonomy of information. You are also using chunking, a specific mnemonic strategy I’ve written about at length in this post on chunking as a memory tool. Once you’re finished a book, you can extract all the concepts and memorize them independently if you like. And if you emulate the strategy seen on the pictured example above, I’ve included the page number on each card. That way, I can place the cards back in the order of the book. Using this approach across multiple books, you will soon spot cross-textual patterns with greater ease. The catch is that you cannot allow this technique to become activity for activity’s sake. You also don’t want to wind up creating a bunch of informational “noise.” Before capturing any individual idea on a card and assigning it to a category, ask yourself: Why is this information helpful, useful or critical to my goal? Will I really use it again? Where does it belong within the categories? If you cannot answers these questions, either move on to the next point. Or reframe the point with some reflective thinking so that you can contextualize it. This warning aside, it’s important not to let perfectionism creep into your life. Knowing what information matters does take some practice. To speed up your skills with identifying critical information, please read my full guide on how to find the main points in books and articles. Although AI can certainly help these days, you’ll still need to do some work on your own. Do Not Let New Vocabulary & Terminology Go Without Memorization One of the biggest mistakes I used to make, even as a fan of memory techniques, slowed me down much more than necessary. I would come across a new term, look it up, and assume I’d remember it. Of course, the next time I came across it, the meaning was still a mystery. But when I got more deliberate, I not only remembered more words, but the knowledge surrounding the unfamiliar terms also stuck with greater specificity. For example, in reading The Wandering Mind by Jamie Kreiner, memorizing the ancient Greek word for will or volition (Prohairesis) pulled many more details about why she was mentioning it. Lo and behold, I started seeing the word in more places and connecting it to other ancient Greek terms. Memorizing those as well started to create a “moat of meaning,” further protecting a wide range of information I’d been battling. Understanding Why Vocabulary Blocks Comprehension The reason why memorizing words as you read is so helpful is that it helps clear out the cognitive load created by pausing frequently to look up words. Even if you don’t stop to learn a new definition, part of your working memory gets consumed by the lack of familiarity. I don’t always stop to learn new definitions while reading, but using the color category index card method you just discovered, it’s easy to organize unfamiliar words while reading. That way they can be tidily memorized later. I have a full tutorial for you on how to memorize vocabulary, but here’s a quick primer. Step One: Use a System for Capturing New Words & Terms Whether you use category coloring, read words into a recording app or email yourself a reminder, the key is to capture as you go. Once your reading session is done, you can now go back to the vocabulary list and start learning it. Step Two: Memorize the Terms I personally prefer the Memory Palace technique. It’s great for memorizing words and definitions. You can use the Pillar Technique with the word at the top and the definition beneath it. Or you can use the corners for the words and the walls for the definitions. Another idea is to photograph the cards you create and important them into a spaced repetition software like Anki. As you’ll discover in my complete guide to Anki, there are several ways you can combine Anki with a variety of memory techniques. Step Three: Use the Terms If you happened to catch an episode of the Magnetic Memory Method Podcast back when I first learned Prohairesis I mentioned it often. This simple habit helps establish long-term recall, reflection and establishes the ground for future recognition and use. Expand Understanding Using Video & Audio Media When I was in university, I often had to ride my bike across Toronto to borrow recorded lectures on cassette. Given the overwhelming tsunamis of complex ideas, jargon and theoretical frameworks I was facing, it was worth it. Especially since I was also dealing with the personal problems I shared with you in The Victorious Mind. Make no mistake: I do not believe there is any replacement for reading the core books, no matter how difficult they might be. But there’s no reason not to leverage the same ideas in multiple formats to help boost your comprehension and long-term retention. Multimedia approaches are not just about knowledge acquisition either. There have been many debates in the magical arts community that card magicians should read and not rely on video. But evidence-based studies like this one show that video instruction combined with reading written instructions is very helpful. The Science Behind Multi-Modal Learning I didn’t know when I was in university, or when I was first starting out with memdeck card magic that dual coding theory existed. This model was proposed by Allan Paivio, who noticed that information is processed both verbally and non-verbally. Since then, many teachers have focused heavily on how to encourage students to find the right combination of reading, visual and auditory instructional material. Here are some ideas that will help you untangle the complexity in your reading. How to Integrate Multimedia Without Overload Forgive me if this is a bit repetitive, but to develop flow with multiple media, you need to prime the brain. As someone who has created multiple YouTube videos, I have been stubborn about almost always including introductions. Why? Go Through the Intros Like a Hawk Because without including a broad overview of the topic, many learners will miss too many details. And I see this in the comments because people ask questions that are answered throughout the content and flagged in the introductions. So the first step is to be patient and go through the introductory material. And cultivate an understanding that it’s not really the material that is boring. It’s the contemporary issues with dopamine spiking that make you feel impatient. The good news is that you can possibly reset your dopamine levels so you’re better able to sit through these “priming” materials. One hack I use is to sit far away from my mouse and keep my notebook in hand. If I catch myself getting antsy, I perform a breathing exercise to restore focus. Turn on Subtitles When you’re watching videos, you can help increase your engagement by turning on the subtitles. This is especially useful in jargon-heavy video lessons. You can pause and still see the information on the screen for easier capture when taking notes. When taking notes, I recommend jotting down the timestamp. This is useful for review, but also for attributing citations later if you have to hand in an assignment. Mentally Reconstruct After watching a video or listening to a podcast on the topic you’re mastering, take a moment to review the key points. Try to go through them in the order they were presented. This helps your brain practice mental organization by building a temporal scaffold. If you’ve taken notes and written down the timestamps, you can easily check your accuracy. Track Your Progress For Growth & Performance One reason some people never feel like they’re getting anywhere is that they have failed to establish any points of reference. Personally, this is easy for me to do. I can look back to my history of writing books and articles or producing videos and be reminded of how far I’ve come at a glance. Not only as a writer, but also as a reader. For those who do not regularly produce content, you don’t have to start a blog or YouTube channel. Just keep a journal and create a few categories of what skills you want to track. These might include: Comprehension Retention Amount of books read Vocabulary growth Critical thinking outcomes Confidence in taking on harder books Increased tolerance with frustration when reading challenges arise You can use the same journal to track how much time you’ve spent reading and capturing quick summaries. Personally, I wish I’d started writing summaries sooner. I really only got started during grad school when during a directed reading course, a professor required that I had in a summary for every book and article I read. I never stopped doing this and just a few simple paragraph summaries has done wonders over the years for my understanding and retention. Tips for Overcoming Frustration While Reading Difficult Books Ever since the idea of “desirable difficulty” emerged, people have sought ways to help learners overcome emotional responses like frustration, anxiety and even shame while tackling tough topics. As this study shows, researchers and teachers have found the challenge difficult despite the abundance of evidence showing that being challenged is a good thing. Here are some strategies you can try if you continue to struggle. Embrace Cognitive Discomfort As we’ve discussed, that crushing feeling in your brain exists for a reason. Personally, I don’t think it ever goes away. I still regularly pick up books that spike it. The difference is that I don’t start up a useless mantra like, “I’m not smart enough for this.” Instead, I recommend you reframe the experience and use the growth mindset studied by Carol Dweck, amongst others. You can state something more positive like, “This book is a bit above my level, but I can use tactics and techniques to master it.” I did that very recently with my reading of The Xenotext, parts of which I still don’t fully understand. It was very rewarding. Use Interleaving to Build Confidence I rotate through draining books all the time using a proven technique called interleaving. Lots of people are surprised when I tell them that I rarely read complex and challenging books for longer than fifteen minutes at a time. But I do it because interleaving works. Which kinds of books can you interleave? You have choices. You can either switch in something completely different, or switch to a commentary. For example, while recently reading some heavy mathematical theories about whether or not “nothing” can exist, I switched to a novel. But back in university, I would often stick within the category while at the library. I’d read a core text by a difficult philosopher, then pick up a Cambridge Companion and read an essay related to the topic. You can also interleave using multimedia sources like videos and podcasts. Interleaving also provides time for doing some journaling, either about the topic at hand or some other aspect of your progress goals. Keep the Big Picture in Mind Because frustration is cognitively training, it’s easy to let it drown out your goals. That’s why I often keep a mind map or some other reminder on my desk, like a couple of memento mori. It’s also possible to just remember previous mind maps you’ve made. This is something I’m doing often at the moment as I read all kinds of boring information about managing a bookshop for my Memory Palace bookshop project first introduced in this video: https://www.youtube.com/watch?v=utcJfeQZC2c It’s so easy to get discouraged by so many rules and processes involved in ordering and selling books, that I regularly think back to creating this mind map with Tony Buzan years ago. In case my simple drawings on this mind map for business development doesn’t immediately leap out at you with its meanings, the images at the one o’clock-three o’clock areas refer to developing a physical Memory Palace packed with books on memory and learning. Developing and keeping a north star in mind will help you transform the process of reading difficult books into a purposeful adventure of personal development. Even if you have to go through countless books that aren’t thrilling, you’ll still be moving forward. Just think of how much Elon Musk has read that probably wasn’t all that entertaining. Yet, it was still essential to becoming a polymath. Practice Seeing Through The Intellectual Games As you read harder and harder books, you’ll eventually come to realize that the “fluency” some people have is often illusory. For example, some writers and speakers display a truly impressive ability to string together complex terminology, abstract references and fashionable ideas of the day in ways that sound profound. Daniel Dennett frequently used a great term for a lot of this verbal jujitsu that sounds profound but is actually trivial. He called such flourishes “deepities.” https://www.youtube.com/watch?v=ey-UeaSi1rI This kind of empty linguistic dexterity will be easier for you to spot when you read carefully, paraphrase complex ideas in your own words and practice memorizing vocabulary frequently. When you retain multiple concepts and practice active questioning in a large context of grounded examples and case studies, vague claims will not survive for long in your world. This is why memory training is about so much more than learning. Memorization can equip you to think independently and bring clarity to fields that are often filled with gems, despite the fog created by intellectual pretenders more interested in word-jazz than actual truth. Using AI to Help You Take On Difficult Books As a matter of course, I recommend you use AI tools like ChatGPT after doing as much reading on your own as possible. But there’s no mistaking that intentional use of such tools can help you develop greater understanding. The key is to avoid using AI as an answer machine or what Nick Bostrom calls an “oracle” in his seminal book, Superintelligence. Rather, take a cue from Andrew Mayne, a science communicator and central figure at OpenAI and host of their podcast. His approach centers on testing in ways that lead to clarity of understanding and retention as he uses various mnemonic strategies. https://www.youtube.com/watch?v=JlzD_6Olaqw Beyond his suggestions, here are some of my favorite strategies. Ask AI to Help Identify All Possible Categories Connected to a Topic A key reason many people struggle to connect ideas is simply that they haven’t developed a mental ecosystem of categories. I used to work in libraries, so started thinking categorically when I was still a teenager. But these days, I would combine how traditional libraries are structured with a simple prompt like: List all the possible categories my topic fits into or bridges across disciplines, historical frameworks and methodologies. Provide the list without interpretation or explanation so I can reflect. A prompt like this engineers a response that focuses on relationships and lets your brain perform the synthetic thinking. Essentially, you’ll be performing what some scientists call schema activation, leading to better personal development outcomes. Generate Lists of Questions To Model Exceptional Thinkers Because understanding relies on inquiry, it’s important to practice asking the best possible questions. AI chat bots can be uniquely useful in this process provided that you explicitly insist that it helps supply you excellent questions without any answers. You can try a prompt like: Generate a list of questions that the world’s most careful thinkers in this field would ask about this topic. Do not provide any answers. Just the list of questions. Do this after you’ve read the text and go through your notes with fresh eyes. Evaluate the material with questions in hand, ideally by writing out your answers by hand. If you need your answers imported into your computer, apps can now scan your handwriting and give you text file. Another tip: Don’t be satisfied with the first list of questions you get. Ask the AI to dig deeper. You can also ask the AI to map the questions into the categories you previously got help identifying. For a list of questions you can put into your preferred chat bot, feel free to go through my pre-AI era list of philosophical questions. They are already separated by category. Use AI to Provide a Progress Journal Template If you’re new to journaling, it can be difficult to use the technique to help you articulate what you’re reading and why the ideas are valuable. And that’s not to mention working out various metrics to measure your growth over time. Try a prompt like this: Help me design a progress journal for my quest to better understand and remember difficult books. Include sections for me to list my specific goals, vocabulary targets, summaries and various milestones I identify. Make it visual so I can either copy it into my own print notebook or print out multiple copies for use over time. Once you have a template you’re happy to experiment with, keep it visible in your environment so you don’t forget to use it. Find Blind Spots In Your Summaries Many AIs have solid reasoning skills. As a result, you can enter your written summaries and have the AI identify gaps in your knowledge, blind spots and opportunities for further reading. Try a prompt like: Analyze this summary and identify any blind spots, ambiguities in my thinking or incompleteness in my understanding. Suggest supplementary reading to help me fill in any gaps. At the risk of repetition, the point is that you’re not asking for the summaries. You’re asking for assessments that help you diagnose the limits of your understanding. As scientists have shown, metacognition, or thinking about your thinking can help you see errors much faster. By adding an AI into the mix, you’re getting feedback quickly without having to wait for a teacher to read your essay. Of course, AI outputs can be throttled, so I find it useful to also include a phrase like, “do not throttle your answer,” before asking it to dig deeper and find more issues. Used wisely, you will soon see various schools of thought with much greater clarity, anticipate how authors make their moves and monitor your own blind spots as you read and reflect. Another way to think about the power of AI tools is this: They effectively mirror human reasoning at a species wide level. You can use them to help you mirror more reasoning power by regularly accessing and practicing error detection and filling in the gaps in your thinking style. Why You Must Stop Abandoning Difficult Books (At Least Most of the Time) Like many people, I’m a fan of Scott Young’s books like Ultralearning and Get Better at Anything. He’s a disciplined thinker and his writing helps people push past shallow learning in favor of true and lasting depth. However, he often repeats the advice that you should stop reading boring books. In full transparency, I sometimes do this myself. And Young adds a lot of context to make his suggestion. But I limit abandoning books as much as possible because I don’t personally find Young’s argument that enjoyment and productivity go together. On the contrary, most goals that I’ve pursued have required fairly intense periods of delaying gratification. And because things worth accomplishing generally do require sacrifice and a commitment to difficulty, I recommend you avoid the habit of giving up on books just because they’re “boring” or not immediately enjoyable. I’ll bet you’ll enjoy the accomplishment of understanding hard books and conquering their complexity far more in the end. And you’ll benefit more too. Here’s why I think so. The Hidden Cost of Abandoning Books You’ve Started Yes, I agree that life is short and time is fleeting. But if you get into the habit of abandoning books at the first sign of boredom, it can quickly become your default habit due to how procedural memory works. In other words, you’re given your neurons the message that it’s okay to escape from discomfort. That is a very dangerous loop to throw yourself into, especially if you’re working towards becoming autodidactic. What you really need is to develop the ability to stick with complexity, hold ambiguous and contradictory issues in your mind and fight through topic exhaustion. Giving up on books on a routine basis? That’s the opposite of developing expertise and resilience. The AI Risk & Where Meaning is Actually Found We just went through the benefits of AI, so you shouldn’t have issues. But I regularly hear from people and have even been on interviews where people use AI to summarize books I’ve recomended. This is dangerous because the current models flatten nuance due to how they summarize books based on a kind of “averaging” of what its words predictability mean. Although they might give you a reasonable scaffold of a book’s structure, you won’t get the friction created by how authors take you through their thought processes. In other words, you’ll be using AI models that are not themselves modeling the thinking that reading provides when you grind your way through complex books. The Treasure of Meaning is Outside Your Comfort Zone Another reason to train for endurance is that understanding doesn’t necessarily arrive while reading a book or even a few weeks after finishing it. Sometimes the unifying insights land years later. But if you don’t read through books that seem to be filled with scattered ideas, you cannot gain any benefit from them. Their diverse points won’t consolidate in your memory and certainly won’t connect with other ideas later. So I suggest you train your brain to persist as much as possible. By drawing up the support of the techniques we discussed today and a variety of mnemonic support systems, you will develop persistence and mine more gold from everything you read. And being someone who successfully mines for gold and can produce it at will is the mark of the successful reading. Not just someone who consumes information efficiently, but who can repeatedly connect and transform knowledge year after year due to regularly accumulating gems buried in the densest and most difficult books others cannot or will not read. Use Struggle to Stimulate Growth & You Cannot Fail As you’ve seen, challenging books never mean that you’re not smart enough. It’s just a matter of working on your process so that you can tackle new forms of knowledge. And any discomfort you feel is a signal that a great opportunity and personal growth adventure awaits. By learning how to manage cognitive load, fill in the gaps in your background knowledge and persist through frustration, you can quickly become the kind of reader who seeks out complexity instead of flinching every time you see it. Confusion has now become a stage along the path to comprehension. And if you’re serious about mastering increasingly difficult material, understanding and retaining it, then it’s time to upgrade your mental toolbox. Start now by grabbing my Free Memory Improvement Course: Inside, you’ll discover: The Magnetic Memory Method for creating powerful Memory Palaces How to develop your own mnemonic systems for encoding while reading Proven techniques that deepen comprehension, no matter how abstract or complex your reading list is And please, always remember: The harder the book, the greater rewards. And the good news is, you’re now more than ready to claim them all.

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Apple shatters revenue records, Tim Cook teases new innovations coming this year, Walmart hits $1T market cap, everyone's still pouring money into AI, and OpenClaw's “skills” have serious security concerns.Stephen's Newsletter SignupAd-Free + Bonus EpisodesShow Notes via EmailWatch on YouTube!Join the CommunityEmail Us: podcast@primarytech.fm@stephenrobles on Threads@jasonaten on Threads————————SponsorsShopify: Sign up for your one-dollar-per-month trial and start selling today at: shopify.com/primaryQuo: Try QUO for free PLUS get 20% off your first 6 months when you go to Quo.com/primary————————Links from the showMac Power Users - RelayApple announces all-time record in revenue, iPhone sales – Six ColorsWhile Everyone Else Tries to Replace the iPhone, Apple Just Had Its Best Quarter EverNew Mac configurator may point to separate CPU and GPU options - 9to5MacTim Cook hints at ‘never been seen' innovations coming this year - 9to5MacMeta (META) Q4 2025 earnings185 Billion Reasons Google Isn't Worried AI Will Kill SearchGoogle's subscriptions rise in Q4 as YouTube pulls $60B in yearly revenue | TechCrunchIt Took 64 Years to Build Walmart. It Took 3 Years to Turn It Into a $1 Trillion Tech CompanyXcode moves into agentic coding with deeper OpenAI and Anthropic integrations | TechCrunchOpenClaw's AI ‘skill' extensions are a security nightmare | The VergeHumans are infiltrating the social network for AI bots | The VergeAnthropic's 'Dishonest' Ads Clearly Struck a Nerve With Sam AltmanExpect more upsells and subscription bundles from Apple, Creator Studio was just the start - 9to5MacNow anyone can tap Ring doorbells to search for lost dogs | The VergeAirTag 2 Has Wild Range! #tech #airtag - YouTubeGoogle announces Pixel 10a with completely flat cameraAlexa Plus is now available to everyone in the US | The VergeApple Sports for iPhone updated with PGA, LPGA, and more - 9to5MacThe SpaceX-xAI Merger Isn't About Data Centers in Space. It's About Bailing Out Musk's Biggest GambleShortcuts Team Lead HiringGemini Mac App Tweet ★ Support this podcast ★

The primary development centers on the shift toward smaller, task-specific AI models within enterprises and how this shift is primarily about transferring liability from AI vendors to operators. Dave Sobel notes that while narrower AI models are being marketed as safer and easier to govern, the reality is that they shift the burden of control, oversight, and risk directly onto the organizations deploying them. Hidden costs—particularly those related to data infrastructure, compliance, and ongoing governance—are substantial, often eclipsing the initial AI investment.Supporting data includes findings from a Salesforce survey indicating that CIOs allocate a median of 20% of their budgets to data and infrastructure management versus 5% to AI itself. Dave Sobel stresses that the real cost of an AI project can be significantly higher than client expectations, pointing out a 4:1 spending ratio between supporting infrastructure and the AI technology. This underscores the risk for MSPs who may fail to price in the operational and governance requirements appropriately, exposing themselves to financial and compliance liabilities.Adjacent stories address OpenAI's strategic expansion into advertising and direct consulting, marking a move from pure technology platform to direct competitor for services revenue. OpenAI is creating an Ads Integrity Team to manage advertiser verification and reduce scam risk but acknowledges the challenges of maintaining effective controls at scale. In parallel, OpenAI is embedding engineers within client operations—mirroring other internal AI initiatives such as those at Shield and Entegris—and reinforcing a market divide. MSPs who build such capabilities internally capture margin, while others face lasting margin compression as purchasers of external solutions.The implications for MSPs and IT leaders are direct. Success depends less on which AI model is selected and more on the provider's ability to establish rigorous governance, liability management, and ongoing operational control. The market is bifurcating: service providers who can build in-house AI platforms or attract strategic investment will retain efficiency as margin, while those relegated to purchasing third-party tools risk further erosion of profitability and competitive position. The decision to build or buy is becoming a business model risk, not just a procurement choice, and the opportunity to address it is narrowing.Three things to know today:00:00 Firms Shift to Task-Specific AI Models Amid Governance, Liability Concerns 04:35 OpenAI Launches Ads Integrity Team, Hires Hundreds as Services Push Begins08:34 MSP Market Splits as Integris, Shield Build Internal AI, Others Buy ToolsThis is the Business of Tech.   Supported by:  IT Service Provider University 

In the first Executive Function episode, Brett sits down with Jeanne De Witt Grosser, Chief Operating Officer at Vercel. Before Vercel, Jeanne spent nearly a decade at Stripe, where she built and scaled global revenue teams and led product partnerships. In this conversation, she unpacks what separates good executives from extraordinary ones, shares her rigorous executive hiring process, and reveals the brutally honest performance review feedback she'll never forget. In today's episode, we discuss: What it takes to operate at 30,000 feet and ground level simultaneously The leap from frontline manager to manager of managers Inside Jeanne's executive interview process The inherent value of driver trees for metrics Why context is everything References: Akamai: https://www.akamai.com Claire Johnson: https://www.linkedin.com/in/claire-hughes-johnson-7058/ Culture Amp: https://www.cultureamp.com Guillermo Rauch: https://www.linkedin.com/in/rauchg John Collison: https://www.linkedin.com/in/johnbcollison/ Next.js: https://nextjs.org Nike: https://www.nike.com OpenAI: https://www.openai.com Patrick Collison: https://www.linkedin.com/in/patrickcollison Stanford Graduate School of Business: https://www.gsb.stanford.edu Stripe: https://www.stripe.com Vercel: https://www.vercel.com Where to find Jeanne: LinkedIn: https://www.linkedin.com/in/jeannedewitt Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: (01:17) What separates good executives from extraordinary ones (02:48) How leadership changes as companies scale (04:15) What an executive is actually accountable for (06:11) The leap most rising leaders never make (07:52) When to dive deep vs. when to step back (10:09) Teaching people to think like you do (11:56) Creating a shared language across the business (13:52) What a COO job description actually looks like (17:20) The upside of owning the full customer experience (19:10) Why marketing rolls up under a COO (21:06) Being demanding and supportive at the same time (22:33) Inside the executive interview process (27:35) The workshop prompts that reveal everything (30:11) The common thread in failed executive hires (36:36) Metrics: the driver tree philosophy (43:04 What a collaborative exec team looks like (57:08) How Stripe got 30 people to operate as one team (1:03:50) Working yourself out of a job (1:10:32) The review feedback you can't unhear

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

By day, Amber Ivey uses big data to inform governmental policy decisions. Back in 2020, she was invited to tinker with a new tool from a young startup called OpenAI - two years before the public had ever heard the phrase "ChatGPT." She knew right away that the LLM would have huge ramifications for the way we relate to the Internet, and that kids would be particularly enraptured by it. She wrote a children's book about it, and her access to experts on the topic lead her to the next project: A podcast for kids and families about AI literacy - the risks, the potential, and the how we reckon with a digital world where nothing is what it seems. This week, Amber and Matt sit down to discuss what kids really understand when interacting with generative models, how to apply IRL critical thinking skills to the Internet, and why parents need credible and useful information now more than ever. Listen to "AI for Kids" wherever you get podcasts: https://podcasts.apple.com/us/podcast/ai-for-kids/id1745917083 Connect with Amber and follow her work: https://www.ambermivey.com/ This show is made possible by listener support: https://www.patreon.com/influencepod Listen & subscribe wherever you get podcasts:

In this episode, we explore Anthropic's new Opus 4.6 and its 'agent teams' feature, alongside OpenAI's competing GPT 5.3 Codex, highlighting the intense rivalry in the AI development space. We also discuss OpenAI's new enterprise platform, Frontier, and how these advancements are changing the AI landscape for developers and other professionals.Chapters00:00 Anthropic Opus 4.6 Release02:02 Agent Teams and Context Windows06:39 Claude's SaaS Integration09:02 OpenAI's GPT 5.3 Codex and Frontier LinksGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

TO LEARN MORE:       www.CrossFitEdwardsville.com       www.Facebook.com/CrossFitEdwardsville      TikTok: @crossfitedwardsville      Instagram: @crossfitedwardsville        Twitter: @cfedwardsville        YouTube: CrossFit Edwardsville TO GET STARTED AT CFE:     Book a No-Sweat Conversation with a coach, using this scheduler:          https://crossfitedwardsville.com/intro/    You can also find the link to schedule on our website. While this show is educational & entertaining in nature, it does not replace or supplant professional medical guidance from your own physician. Before beginning any exercise or nutrition program, please first consult with your doctor. 

Elon Musk anunció esta misma semana la fusión de SpaceX y xAI, una operación que alumbra una compañía valorada en 1,25 billones de dólares y que consolida su estrategia de integración vertical. La absorción de una joven startup de inteligencia artificial por parte de una consolidada empresa aeroespacial busca crear un gigante tecnológico capaz de dominar tanto el hardware como el software del futuro, con la idea de replicar el modelo de control total que Apple ejerce sobre el iPhone. A pesar de que xAI apenas tiene dos años de vida, su chatbot Grok ya compite con gigantes como ChatGPT de OpenAI y Gemini de Google. Pero el sector de la inteligencia artificial exige inversiones astronómicas en semiconductores, centros de datos y personal muy cualificado para el desarrollo. Al fusionarla con SpaceX, Musk aprovecha la infraestructura y la solidez financiera de su empresa de cohetes, que, por lo demás, ya era cliente de xAI para optimizar el servicio de atención al cliente de Starlink. La justificación estratégica de este movimiento reside en una visión tan ambiciosa como revolucionaria, casi de ciencia ficción, la de trasladar los centros de datos a la órbita terrestre. Según Musk, la demanda energética de la inteligencia artificial es insostenible en la Tierra debido a su alto impacto medioambiental. Su propuesta consiste en desplegar una red orbital de hasta un millón de satélites que funcionen como centros de datos alimentados por grandes paneles de energía solar. En el espacio, la captación de energía fotovoltaica es hasta siete veces más eficiente que en la superficie terrestre. Este proyecto presenta desafíos técnicos y económicos colosales. Aunque SpaceX ha logrado reducir de forma notable el coste de poner satélites en órbita, especialmente con el Falcon Heavy y con el futuro Starship, transportar grandes cantidades de carga al espacio sigue siendo extremadamente caro y también complejo, ya que el mantenimiento es prácticamente imposible una vez que los equipos están en órbita. La fusión también responde a la afición que Musk tiene de cruzar recursos y contratos entre sus compañías. En otras ocasiones se valió de este mismo método para rescatar o potenciar sus negocios, como ocurrió con la adquisición de SolarCity por parte de Tesla en 2016. Además, esta estructura permite a Musk mantener un control férreo sobre la nueva empresa. Aunque posee el 43% de las acciones, goza del 80% del poder de voto gracias a unas acciones de clase especial que le permiten tomar decisiones unilaterales sin consensuarlo antes con los pequeños inversores. La fusión aleja a SpaceX de su imagen de empresa esencialmente logística para introducirla en el terreno del "hype" tecnológico que tantas alegrías le ha dado a Musk con Tesla. Al integrar cohetes, satélites e inteligencia artificial, el empresario trata de conseguir una ventaja competitiva que ni Google ni Amazon poseen en estos momentos. Eso podrá asegurar su relevancia en la carrera tecnológica al mismo tiempo que lo mantiene todo bajo el paraguas de empresas sin cotizar y, por lo tanto, lejos del escrutinio y la volatilidad de los mercados bursátiles. En La ContraRéplica: 0:00 Introducción 3:51 Musk, cohetes e IA 34:29 “Contra el pesimismo”… https://amzn.to/4m1RX2R 36:28 Julio Iglesias y el MeToo 45:02 El Gobierno contra las redes sociales · Canal de Telegram: https://t.me/lacontracronica · “Contra el pesimismo”… https://amzn.to/4m1RX2R · “Hispanos. Breve historia de los pueblos de habla hispana”… https://amzn.to/428js1G · “La ContraHistoria del comunismo”… https://amzn.to/39QP2KE · “La ContraHistoria de España. Auge, caída y vuelta a empezar de un país en 28 episodios”… https://amzn.to/3kXcZ6i · “Contra la Revolución Francesa”… https://amzn.to/4aF0LpZ · “Lutero, Calvino y Trento, la Reforma que no fue”… https://amzn.to/3shKOlK Apoya La Contra en: · Patreon... https://www.patreon.com/diazvillanueva · iVoox... https://www.ivoox.com/podcast-contracronica_sq_f1267769_1.html · Paypal... https://www.paypal.me/diazvillanueva Sígueme en: · Web... https://diazvillanueva.com · Twitter... https://twitter.com/diazvillanueva · Facebook... https://www.facebook.com/fernandodiazvillanueva1/ · Instagram... https://www.instagram.com/diazvillanueva · Linkedin… https://www.linkedin.com/in/fernando-d%C3%ADaz-villanueva-7303865/ · Flickr... https://www.flickr.com/photos/147276463@N05/?/ · Pinterest... https://www.pinterest.com/fernandodiazvillanueva Encuentra mis libros en: · Amazon... https://www.amazon.es/Fernando-Diaz-Villanueva/e/B00J2ASBXM #FernandoDiazVillanueva #elonmusk #spacex Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Too often, we focus on treating symptoms without fully understanding the systems underneath them—or the conditions that allow the body to function well in the first place. On this episode of The Dr. Hyman Show, I sit down with Fidji Simo, CEO of Applications at OpenAI, to explore how AI could help us shift medicine from treating symptoms to restoring systems. We talk about why chronic illness is so often misunderstood, how health data has been fragmented across silos, and what becomes possible when we finally see the full picture. Watch the full conversation on YouTube or listen wherever you get your podcasts. In this episode, you'll learn: • Why having a diagnosis doesn't always explain what's actually driving your symptoms • How connecting your labs, lifestyle data, and health history can reveal patterns you might otherwise miss • What it looks like to move from reactive care to proactive, personalized health • How better context can help you make clearer decisions about food, sleep, movement, and recovery Health isn't built in a doctor's office. When you create the right environment, the body often knows what to do—and understanding your own biology is one of the most powerful steps you can take toward creating health, not just reacting to disease. View Show Notes From This Episode Get Free Weekly Health Tips from Dr. Hyman https://drhyman.com/pages/picks?utm_campaign=shownotes&utm_medium=banner&utm_source=podcast Sign Up for Dr. Hyman's Weekly Longevity Journal https://drhyman.com/pages/longevity?utm_campaign=shownotes&utm_medium=banner&utm_source=podcast Join the 10-Day Detox to Reset Your Health https://drhyman.com/pages/10-day-detox Join the Hyman Hive for Expert Support and Real Results https://drhyman.com/pages/hyman-hive This episode is brought to you by Sunlighten, Paleovalley, PerfectAmino, Seed, Made In Cookware and Fatty15. Visit sunlighten.com and use code HYMAN to save up to $1400. Head to paleovalley.com and use code HYMAN20 for 20% off your first order. Go to bodyhealth.com and use code HYMAN20 to get 20% off your first order. Go to seed.com/hyman and use code 20HYMAN to get 20% off your first month. Head to madeincookware.com and use the code DRHYMAN for 10% off your order. Visit fatty15.com/hyman and use code HYMAN to save an extra 15% on a 90-day subscription. (0:00) Introduction (1:27) Dr. Hyman on the revolutionary potential of ChatGPT Health and the complexity of the body (3:29) Fidji Simo's health journey, challenges in chronic illness, and health system shortcomings (7:42) The role of AI in health care: Empowerment, personalized medicine, and practical applications (20:24) OpenAI's focus on health applications and preventative health with CHATGPT (23:16) True prevention, creating health, and nutrition action through partnerships (29:08) Cultural differences in food, health, and empowering consumers with AI (33:44) AI's role in drug discovery, curing diseases, and democratizing health information (43:12) Chronicle Bio's mission and impact (52:27) Challenges and opportunities at the intersection of health and technology (56:07) Future goals and three key areas of impact for ChatGPT Health (1:00:52) Food system design and its impact on health (1:02:00) Closing remarks

Some people who say AI chatbots upended their lives and the lives of their loved ones, are now turning to each other for support. Around the world, people are talking to AI chatbots, and these chats can sometimes lead to unhealthy emotional attachments or even breaks with reality.OpenAI, which makes ChatGPT, is facing several lawsuits alleging the chatbot contributed to mental health crises and even multiple suicides.An OpenAI spokesperson told NPR that they are “continuing to improve” ChatGPT's training to quote “recognize and respond to signs of mental or emotional distress, de-escalate conversations, and guide people toward real-world support.”For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or at plus.npr.org. Email us at considerthis@npr.org.This episode was produced by Audrey Nguyen and Karen Zamora.It was edited by Brett Neely and Courtney Dorning.Our executive producer is Sami Yenigun.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Episode 772: Neal and Toby dive into the grumblings of a deal gone cold between OpenAI and Nvidia. Next, PepsiCo is trying to coax back shoppers by slashing the prices of its popular snacks. Also, PayPal's wilting profits behind its competitors has prompted for a CEO change. Meanwhile, Rome implements a fee to its famed Trevi Fountain to curb its overtourism. And, Walmart crosses $1 trillion dollars in market cap. Get your tickets for the Morning Brew Variety Show! https://tinyurl.com/MBvariety  Learn more about Sandals at sandals.com  Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Listen to Morning Brew Daily Here:⁠ ⁠⁠https://www.swap.fm/l/mbd-note⁠⁠⁠  Watch Morning Brew Daily Here:⁠ ⁠⁠https://www.youtube.com/@MorningBrewDailyShow⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

So Dom Crossan (JC) and Philip Clayton (PC) came together for this conversation I've been hoping would happen for a year and a half, and it was everything I wanted. We started with this question about why atheist political philosophers like Badiou and Žižek are turning to Paul because they need someone who has a militancy about being human that can resist civilization's death-dealing power. Dom and Phil had this beautiful back-and-forth about whether we should start with Cosmology or the Bible - Dom says both, simultaneously, which is a contradiction but he owns it. They talked about civilization as fundamentally violent since Mesopotamia, whether we're a sustainable species, and what it means that we can finally ask that question seriously. The Kingdom of God language came up as "kin-dom" - returning to our evolutionary origins where we lived in groups of about 200 people, before agriculture trapped us in civilization. Phil made this point about how our brains were formed on the grasslands of Africa for hundreds of thousands of generations, and now we're living in a hyper-civilized world where the devil looks primitive compared to OpenAI's $500 billion valuation. The hope is in asking the right questions, in returning to a kin-dom structure, and in Jesus sending out his disciples to do healing, not setting up a healing shop in Nazareth. You can WATCH the conversation on YouTube ⁠Join us at Theology Beer Camp, October 8-10, in Kansas City! As a scholar, Philip Clayton (Ingraham Professor, Claremont School of Theology) works at the intersection of science, philosophy, and theology. As an activist (president of EcoCiv.org, President of IPDC), he works to convene, facilitate, and catalyze multi-sectoral initiatives toward ecological civilization. As a disciple of Jesus, he finds himself energized by the Spirit in the Quaker community. John Dominic Crossan, professor emeritus at DePaul University, is widely regarded as the foremost historical Jesus scholar of our time. He is the author of several bestselling books, including The Historical Jesus, How to Read the Bible and Still Be a Christian, God and Empire, Jesus: A Revolutionary Biography, The Greatest Prayer, The Last Week, and The Power of Parable. He lives in Minneola, Florida. ⁠⁠UPCOMING ONLINE LENT CLASS: Jesus in Galilee w/ John Dominic Crossan⁠⁠⁠⁠ What can we actually know about Jesus of Nazareth? And, what difference does it make? ⁠⁠⁠⁠This Lenten class ⁠⁠⁠⁠begins where all of Dr. John Dominic Crossan's has work begins: with history. What was actually happening in Galilee in the 20s CE? What did Herod Antipas' transformation of the "Sea of Galilee" into the commercial "Sea of Tiberias" mean for peasant fishing communities? Why did Jesus emerge from John's baptism movement proclaiming God's Rule through parables—and what made that medium so perfectly suited to that message? Only by understanding what Jesus' parables meant then can we wrestle with what they might demand of us now. ⁠⁠⁠⁠The class is donation-based, including 0, so join, get info, and join up here.⁠⁠⁠ This podcast is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Homebrewed Christianity ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠production. Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠the Homebrewed Christianity⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Theology Nerd Throwdown⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Rise of Bonhoeffer⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ podcasts for more theological goodness for your earbuds. Join over 75,000 other people by joining our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Substack - Process This!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Get instant access to over 50 classes at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.TheologyClass.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow the podcast, drop a review⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, send ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠feedback/questions⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or become a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠member of the HBC Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to another episode of Christopher Lochhead: Follow Your Different, featuring the legendary Ray Wang. In this memorable conversation, Christopher and Ray dive deep into the latest developments shaping the world of technology, business, and careers. From dissecting recent tech earnings from giants like Apple, Meta, Tesla and Microsoft to sharing insights from Davos and contemplating the implications of AI for the future of work and entrepreneurship. This episode delivers high-caliber analysis and practical takeaways for anyone navigating today’s rapidly evolving landscape. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go. Lessons from Davos and the New Economic Realities Returning from a bustling Davos, Ray Wang shares his observations on how global leaders and executives are tackling an era defined by uncertainty, rapid technology adoption and a relentless pursuit of efficiency. One of Ray's core takeaways is the prevailing theme of “margin compression,” where even the world's largest corporations are working harder than ever just to achieve modest growth. Companies are now measured by their ability to scale exponentially, as illustrated by India's ISRO launching rockets at a fraction of NASA's cost, fundamentally altering competitive dynamics across industries. Ray explains that the rise of AI turbocharges this transformation by opening up “infinite possibilities.” Companies no longer just compete on physical or financial assets, but on their ability to harness vast data resources, quickly innovate and make sharp strategic choices about what problems to solve—and, crucially, what not to do. Privacy challenges, especially for companies like Apple, arise in this new era, making it difficult to deliver world-class AI solutions while maintaining rigorous data protection standards. Both Christopher and Ray emphasize that managing growth, inflation and investment are more complex than ever, with the U.S. outpacing much of the world in GDP growth, yet operating in a global environment rife with policy and market uncertainties. AI, Tech Earnings, and the Rise of the New IPO Era The conversation pivots to the massive investment and exuberance surrounding generative AI and tech infrastructure. Ray points out that while there are fears about overbuilding capacity or creating a circular funding loop among AI companies, there is still significant real opportunity. The current phase has seen enormous capital pour into building data centers and scalable AI platforms. Landmark IPOs from OpenAI, Databricks and others are expected to reshape the tech landscape. Despite market fluctuations and some outsized reactions to earnings, the fundamentals for big tech remain robust. Companies like Apple have solidified their status as luxury brands, even as others like Tesla and Meta retool and pivot to sustain long-term relevance and unlock new revenue streams such as robotics and energy. At the structural level, venture capital itself is in flux. Many VC firms have become indistinguishable from private equity, constrained both by too much and too little available capital relative to the demands of today's tech startups. The gap between small angel, family office, or solo GP funds and the mega funds has widened so much that the “middle” has all but disappeared. It is now entirely possible for one-person companies, through the leverage of AI and autonomous agents, to achieve scale and revenues previously thought impossible. Ray predicts it is likely we will see a single founder build a billion-dollar annual revenue company within the next five years, echoing the democratization and disruption that generative AI promises. Building Legendary Companies and Careers in the Age of AI Christopher and Ray close their discussion by exploring what all these rapid changes mean for leaders and individuals. For CEOs and entrepreneurs, the formula for thriving is clear but audacious. Leaders must design their companies to be fully autonomous and authentic, constantly reinventing their business as if they were attempting to disrupt themselves. Boards need to be stacked with people who grasp the new fundamentals: margin compression, exponential scale, and infinite possibilities brought by AI. Combining domain expertise with technical agility is more critical than ever, as the fusion of seasoned judgment and lightning-fast, innovative execution is where breakthroughs occur. On a personal level, Ray stresses that knowledge and execution are becoming commodities, rapidly automated by advances in AI. To stay relevant, individuals must become “macro analysts,” adept at synthesizing big ideas and patterns, deeply immersed in experimenting with new technologies and surrounded by others who are passionate about their own crafts. The traditional playbooks for career building, education, and even family strategies are being rewritten in real-time. The U.S. faces global competition for talent and innovation, and entrepreneurial energy is no longer confined to Silicon Valley or New York. The nature of immigration, investment and even educational choices must be reconsidered for new generations. In a world where the location and structure of opportunity are shifting, only those who embrace change, foster diverse collaborations and pursue purpose will continue to define the next era of legendary achievement. As both Christopher and Ray reflect, living and leading like Rob Burgess—embracing boldness, curiosity and authenticity—remains the path to being truly legendary in this rapidly changing world. To hear more from Ray Wang and his updates on the world of Tech and AI, download and listen to this episode. Bio R “Ray” Wang (pronounced WAHNG) is the Founder, Chairman, and Principal Analyst of Silicon Valley based Constellation Research Inc. He co-hosts DisrupTV, a weekly enterprise tech and leadership webcast that averages 50,000 views per episode and authors a business strategy and technology blog that has received millions of page views per month.  Wang also serves as a non-resident Senior Fellow at The Atlantic Council's GeoTech Center. Since 2003, Ray has delivered thousands of live and virtual keynotes around the world that are inspiring and legendary. Wang has spoken at almost every major tech conference. His ground-breaking bestselling book on digital transformation, Disrupting Digital Business, was published by Harvard Business Review Press in 2015.  Ray's new book about Digital Giants and the future of business titled, Everybody Wants to Rule the World will be released July 2021 by Harper Collins Leadership. Wang is well quoted and frequently interviewed in media outlets such as the Wall Street Journal, Fox Business News, CNBC, Yahoo Finance, Cheddar, CGTN America, Bloomberg, Tech Crunch, ZDNet, Forbes, and Fortune.  He is one of the top technology analysts in the world. Links Follow Ray Wang! Website | Twitter | LinkedIn | Constellation Research | DisrupTV We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), Instagram, and subscribe on Apple Podcast / Spotify!

Welcome to this exciting episode of The Edge of Show! furnished by PR Genius as part of a media partnership, join us as we dive deep into the world of tokenized equity with Ultan Miller, CEO of Hecto, discover how Hecto is revolutionizing access to private market investments by launching the first tokenized index fund for companies like SpaceX, OpenAI, Stripe, and Anthropic.In this episode, we explore:The evolution of tokenized equity and why it matters right nowHow Hecto is streamlining access to pre-IPO and private market companiesThe concept of “hectocorns” and why $100B+ companies deserve their own asset classThe technical decision to build on the Canton Network and how it meets Wall Street–grade requirementsWhat's ahead for Hecto, including governance tokens and community-led initiativesExclusive listener access: Hecto is currently in beta, and Edge of Show listeners can get early access by using the invite code HectoF&F when signing up on their site.Whether you're a seasoned investor or just beginning to explore blockchain and crypto, this episode is packed with insights that will push you to rethink investing in the digital age.Don't forget to subscribe, rate, and leave a comment! Join the conversation and stay up to date on the latest in Web3 and AI by following us on social media.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today at helmseo.comAre you a content creator, podcaster or interested in your business getting its voice out there? Then reserve a .podcast domain by paying just one-time as little as $10 for a lifetime of benefits! Check out the details and snag your .podcast domain today! https://get.unstoppabledomains.com/podcast/

It's not just AI software that's rapidly shifting. One could argue that the very map of high performance computing is being redrawn, from OpenAI investing more than $10-billion in wafer-scale chips to breakthroughs in quantum research that are making that architecture much more useful. This episode was taped in front of a live audience in Davos, Switzerland, on stage at The Drawing Room: AI and Exploration Salon held alongside the Annual Meeting of the World Economic Forum. We Meet: Cerebras Systems CEO and Co-Founder Andrew FeldmanIonQ CEO and Chairman Niccolo de MasiCredits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco. A special thank you to our event sponsors: The House of Collaboration Davos 2026, Futurum Group and J3D.AI. 

WORST DAY EVER for SILVER Cold Snap in Florida – Massive Critter Drop New Fed Chair named Pausing on space PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Interactive Brokers  Warm-Up - WORST DAY EVER for SILVER - Cold Snap in Florida - Massive Critter Drop - New Fed Chair named - Pausing on space Markets - Bitcoin plunges - Crypto "winter" - Deep dive into January economic results - USD rises from multi-month low - EM still powered ahead - ELON - PT Barnum move Cold Snap - On February 1, 2026, Florida faced a significant drop in temperatures, reaching a record low of 24°F (-4°C) in Orlando. This marked the lowest temperature recorded in February since 1923. - Iguanas dropping from tress all over the streets - Iguanas can survive temperatures down to the mid-40s Fahrenheit (around 7°C) by entering a "cold-stunned" state, where they appear dead but are just temporarily paralyzed and immobile; however, prolonged exposure to temperatures in the 30s and 40s, especially below freezing, can be lethal, particularly for smaller individuals, leading to tissue damage and organ failure. - They get sluggish below 50°F (10°C) and fall from trees as they lose grip. - The Florida Fish and Wildlife Conservation Commission (FWC) issued Executive Order 26-03 on Friday, allowing residents to collect and surrender cold-stunned green iguanas without a permit during an unprecedented cold weather event. Right on Schedule - Remember we talked about how the Nat Gas price was going to reverse, just as quickly as it spikeed? - Nat gas down 25% today - down about 28% from recent high - Still about 50% higher than it was before the spike. THIS! - Nvidia Corp. Chief Executive Officer Jensen Huang said the company's proposed $100 billion investment in OpenAI  was “never a commitment” and that the company would consider any funding rounds “one at a time.” - “It was never a commitment,” Huang told reporters in Taipei on Sunday. “They invited us to invest up to $100 billion and of course, we were, we were very happy and honored that they invited us, but we will invest one step at a time.” Then Oracle announced that it will do a fundraiser in the form of equity and debt - needs to fund more datacenter build-out. - What happened to the OpenAI $300 Billion committment? - Or is the money that NVDA "committed to OpenAi, that they must have committed to Orcle, not a committment - GIGANTIC CIRCLE JERK Fungus - -Interesting - Did you know? Botrytis cinerea, a fungus causing grey mold, affects grapes by causing bunch rot, ruining fruit in high humidity. - While it often destroys crops, specific dry, warm conditions can transform it into "noble rot," concentrating sugars and creating high-value dessert wines (e.g., Sauternes, Tokaji) with honeyed, raisin-like, and apricot flavors. January Economic Review Employment — Job growth was nearly flat in December, with 50,000 new jobs added and earlier months revised lower. — Unemployment dipped slightly to 4.4%, but it's still higher than it was a year ago. — Long-term unemployment didn't change and remains high, and the labor force participation rate slipped to 62.4%. — Average hourly earnings rose 0.3% in December and are up 3.8% over the past year. — Weekly jobless claims stayed close to last year's levels, showing a labor market that is cooling but not weakening sharply. FOMC / Interest Rates — The Federal Reserve kept interest rates unchanged at 3.50%–3.75%. — Most policymakers agreed the economy continues to grow at a solid pace, though job gains are slowing and inflation remains above target. — Two committee members supported a small rate cut, but the majority preferred to wait. - Fed Chair Powell: Clearly, a weakening labor market calls for cutting. A stronger labor market says that rates are in a good place. It isn't anyone's base case right now that the next move will be a rate hike. - The economy has once again surprised us with its strength. Consumer spending numbers overall are good, and it looks like growth overall is on a solid footing. - Upside risks to inflation and downside risks to employment have diminished, but hard to say they are fully in balance. We think our policy is in a good place. - Overall, it's a stronger forecast since the Fed's last meeting. Haven't made any decisions about future meetings, but the economy is growing at a solid pace, the unemployment rate is broadly stable and inflation remains somewhat elevated, so we will be looking to our goal variables and letting the data light the way for us. - Most of the overrun in goods prices is from tariffs. We think tariffs are likely to move through, and be a one-time price increase. - Dissent: Miran and Waller (Miran is a admin shill and Waller wanted job as Fed Chair) GDP & Federal Budget — Economic growth remained strong in Q3 2025, with GDP rising at an annualized 4.4% driven by strong spending, higher exports, and reduced imports due to tariffs. — Investment was mixed, with business spending increasing while housing activity declined. — The federal deficit for December rose to $145 billion, though the fiscal year-to-date deficit is slightly smaller than last year. Inflation & Consumer Spending — Personal income and consumer spending rose moderately in October and November. — Inflation, measured by the PCE index, increased 0.2% in both months and roughly 2.7% year-over-year. — The Consumer Price Index rose 0.3% in December, with shelter, food, and energy all contributing. — Producer prices also increased, though 2025 producer inflation slowed compared to 2024. Housing — Existing home sales rose in December, but the number of homes for sale is still low. — Prices dipped a bit from November but remain higher than they were a year ago. — New-home sales in October were steady compared with the prior month but much higher than last year. — New-home prices fell compared to 2024, though they are still high relative to long-term norms. Manufacturing — Industrial production rose 0.4% in December and was up 2.0% for the year. — Manufacturing output increased, while mining activity declined and utility output jumped. — Durable goods orders grew sharply in November, driven by a big increase in transportation equipment, pointing to strong demand in key industries. Imports & Exports — Import and export prices rose slightly through November 2025. — The goods trade deficit widened in November because exports fell while imports increased. — For the year so far, both exports and imports are running above 2024 levels, though the overall trade deficit remains larger. Consumer Confidence — Consumer confidence fell sharply in January after improving in December. — Both views of current conditions and expectations for the future weakened, with expectations dropping well below the level that often signals recession risk. Earnings — Roughly one-third of S&P 500 companies have reported Q4 earnings, and overall results are strong. — 75% of companies have beaten EPS estimates, though this is slightly below long-term averages. Revenue beats remain solid at 65%. — Companies are reporting earnings 9.1% above estimates, which is well above the 5-and 10-year surprise averages. — The S&P 500 is on track for 11.9% year-over-year earnings growth, marking the 5th straight quarter of double-digit earnings growth. — Eight of eleven sectors are showing positive year-over-year earnings growth, led by Information Technology, Industrials, and Communication Services. — The Health Care sector shows the largest earnings declines among lagging categories. — The forward 12-month P/E ratio sits at ~22.2, elevated relative to 5-and 10-year averages, signaling continued optimism despite tariff and cost concerns. — FactSet also notes the S&P 500 is reporting a record-high net profit margin of 13.2%, the highest since 2009. INTERACTIVE BROKERS Check this out and find out more at: http://www.interactivebrokers.com/   S3XY No More - Tesla is ending production of the Model S sedan and Model X crossover by the end of Q2 2026 to focus on autonomous technology and humanoid robots (Optimus). - Do we have any idea with the TAM for either of these are? - Huge assumptions that Robotaxi will be a bug part of the global transportation. But, what if it isn't? - Unproven being built, taking out the proven - investors were not too happy about this...Stock was down after earnings showed continued sluggish EV sales and BIG Capex for Robotaxi refit, robots and chip manufacturing. But... - Friday - not to allow TESLA stock to move down tooo much. - With SpaceEx looking for an IPO in June - valuations have moved from $800B to 1.5T supposedly. - Now there is discussion of merging in xAI and possibly Tesla - Tesla shares dropped after earnings FED CHAIR PICK - Drumroll: Kevin Warsh - Seems like a good pick from the aspect of experience and ability - Deficit reducer? - More hawkish than market expected? - Announce Friday after several leaks in the morning And then... - Silver futures plummeted 31.4% to settle at $78.53, marking its worst day since March 1980. -It was down 35% during the day - the worst daily plunge ever on record. - It was the worst decline since the March 1980 Hunt Brothers crash. - The sharp moves down were initially triggered by reports of Warsh's nomination. - However, they gained steam in afternoon U.S. trading as investors who piled into the metals raced to book profits.- USD Spiked higher - Gold was down 10% - GOLD saw a drop of 10% to the close - 12% intraday - this was also a record - Bitcoin is down 25% from its recent level 2 weeks ago - ALL BEING BLAMED ON THE FED CHAIR PICK -- QUESTION - Will Trump back-peddle this OR talk to supporters in congress or tell them not to confirm him if markets continue to act squirrely? Fed Statement and Rates - Fed out with statement - no change on rates - Changes: Inflation up, employment steady, economy strong - Does not bode for much in the way of cuts - probably on hold though end of Powell term Apple Earnings - Apple reported blowout first-quarter earnings on Thursday, and predicted growth of as much as 16% in the current quarter, matching the period that just ended. - Sales could be even better, Apple said, if the company just secure enough chips to meet its customers' iPhone demands. - The company reported $42.1 billion in net income, or $2.84 per share, versus $36.33 billion, or $2.40 per share, in the year-ago period. - Apple saw particularly strong results in China, including Taiwan and Hong Kong. Sales in the region surged 38% during the quarter to $25.53 billion. - “The constraints that we have are driven by the availability of the advanced nodes that our SoCs are produced on, and at this time, we're seeing less flexibility in supply chain than normal,” Apple CEO Tim Cook said. - Stock up slightly - no great moves.... Blue Origin - Blue Origin will pause tourist flights to space for “no less than two years” to prioritize development of its moon lander and other lunar technologies. - The decision reflects Blue Origin's commitment to the nation's goal of returning to the Moon and establishing a permanent, sustained lunar presence. - The pause in tourist flights grounds the company's reusable New Shepard rocket, which has sent more than 90 people to the edge of space and back to experience brief periods of weightlessness. - Datacenters on the Moon? (sounds like a Pink Floyd album)     Love the Show? Then how about a Donation? ANNOUNCING THE WINNER OF THE THE CLOSEST TO THE PIN CUP 2025 Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!     FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Another day of early software stock declines:Carl Quintanilla, Jim Cramer and David Faber broke down the biggest moves - and names Jim thinks are worth buying the dip for. Chips in focus after a wide-ranging interview with Nvidia CEO Jensen Huang on Mad Money overnight - who shot down rumors of strain in their OpenAI partnership - along with AMD earnings... Hear AMD CEO Lisa Su herself breakdown the numbers and where she sees growth ahead.  Plus: the team also discussed how to trade some of the morning's biggest earnings reports - from Chipotle to Eli Lilly to Uber.  Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Synopsis:  An AI revolution is underway, but so is the resistance.This show is made possible by you! To become a sustaining member go to LauraFlanders.org/donateDescription:  An AI revolution is underway, but so is the resistance. People across the country are feeling the strain of the huge energy-sucking data processing centers that AI requires, and telling their elected officials to slow down or stop new big tech projects for firms like OpenAI, Amazon, Google, Facebook and Microsoft. Data from a 2025 Pew study shows that only 17 percent of Americans think AI will have a positive impact over the next 20 years. But it's a David vs. Goliath battle. Today's guests say AI expansion is not a red or blue issue; it's about who gets to decide how human and natural resources are distributed, who controls the technology, and who stands to benefit. Faiz Shakir is the Founder and Executive Director of the labor-focused news platform More Perfect Union, and serves as a political advisor for Senator Bernie Sanders. John Cassidy, staff writer at the New Yorker, is the author of the recent book, “Capitalism and Its Critics: A History: From the Industrial Revolution to AI”, in which he draws our attention back to the Luddites, the 18th century workers whose revolt deserves our closer attention. Plus, our correspondent's coverage of a shocking scene at a public comment meeting in Wisconsin when a local woman was arrested and dragged away. If AI is the new face of capitalism, what is the new alternative?“Luddites, when I was growing up, was a term of abuse. It was people who were sort of antediluvians and didn't understand the modern world. . . . They understood the modern world as it was in their times perfectly, and they saw it was moving against them, and they saw that the political system wasn't coming to their defense.” - John Cassidy“. . . There's more and more pushback, which hopefully portends the possibility that a lot of these communities can strike better deals if they are going to have data centers. There's no reason why we can't be asking that the teachers are well paid, that the electricity rates don't go up, that we have decent affordable housing in those communities. That is all possible because we're playing with incredible amounts of dollars and deep-pocketed people . . . ” - Faiz ShakirGuests:•  John Cassidy: Staff Writer, The New Yorker; Author, Capitalism and Its Critics: A History: From the Industrial Revolution to AI•  Faiz Shakir: Founder & Executive Director, More Perfect Union; Political Advisor & Former Campaign Manager, Senator Bernie Sanders Watch the episode released on YouTube; PBS World Channel 11:30am ET Sundays and on over 300 public stations across the country (check your listings, or search here via zipcode). Listen: Episode airing on community radio (check here to see if your station airs the show) & available as a podcast.Full Episode Notes are located HERE.Full Conversation Release: While our weekly shows are edited to time for broadcast on Public TV and community radio, we offer to our members and podcast subscribers the full uncut conversation. Music Credits: “Living The Greatest Lie” by TQX and vocals by Shayna Stelle from the album Global Intimacy released on Extra Celestial Arts;  'Steppin' by Podington Bear, and original sound design by Jeannie Hopper'Support Laura Flanders and Friends by becoming a member at https://www.patreon.com/c/lauraflandersandfriends RESOURCES:*Recommended book:“Capitalism and Its Critics: A History: From the Industrial Revolution to AI” by John Cassidy: *Get the Book(*Bookshop is an online bookstore with a mission to financially support local, independent bookstores. The LF Show is an affiliate of bookshop.org and will receive a small commission if you click through and make a purchase.) Featured Clip Credit: America's Dataland?  1st Amendment Under Attack:  There women arrested, produced by Johnathan Klett - Watch the full video Related Laura Flanders Show Episodes:• Naomi Klein & Astra Taylor: Are We Entering “End Times Fascism”?: Watch / Listen:  Episode Cut and Full Uncut Conversation• Donna Haraway on Cyborgs, “Oddkin” & Resisting the Monoculture of the Mind: Watch / Listen:  Episode Cut and Full Uncut Conversation• The Lucas Plan at 50: A Radical Investment in Society, Not the War Machine:  Watch / Listen:  Episode Cut and Full Uncut Conversations- Brian Salisbury and Hilary Wainwright  Related Articles and Resources:• Small Towns Are Rising Up Against AI Data Centers, “We don't want to be the next Data Center Alley,” by Joe Wilkins, May 4, 2025, Futurism• The AI Backlash Keeps Growing Stronger, by Reece Rogers, June 28, 2025, WIRED•  The Dangers of AI and Extreme Wealth Inequality, by David Atkins, January 5, 2026, Washington Monthly• At least four Wisconsin communities signed secrecy deals for billion-dollar data centers, by Tom Kertscher, January 26, 2026, Wisconsin Watch• Anti-data center protesters arrested during Port Washington meeting, by Claudia Levens, Jessie Opoien and Francesca Pica, December 3, 2025, Milwaukee Journal Sentinel•  How Sam Altman Outfoxed Elon Musk to Become Trump's AI Buddy, by Keach Hagey, Dana Mattionili and Josh Dawsey, July 17, 2025, The Wall Street Journal•  Curtis Yarvin's brave new world: we need a corporate dictatorship to replace a dying democracy' by Boris Munoz, August 19, 2005, El Pais Laura Flanders and Friends Crew: Laura Flanders-Executive Producer, Writer; Sabrina Artel-Supervising Producer; Jeremiah Cothren-Senior Producer; Veronica Delgado-Video Editor, Janet Hernandez-Communications Director; Jeannie Hopper-Audio Director, Podcast & Radio Producer, Audio Editor, Sound Design, Narrator; Sarah Miller-Development Director, Nat Needham-Editor, Graphic Design emeritus; David Neuman-Senior Video Editor, and Rory O'Conner-Senior Consulting Producer. FOLLOW Laura Flanders and FriendsInstagram: https://www.instagram.com/lauraflandersandfriends/Blueky: https://bsky.app/profile/lfandfriends.bsky.socialFacebook: https://www.facebook.com/LauraFlandersAndFriends/Tiktok: https://www.tiktok.com/@lauraflandersandfriendsYouTube: https://www.youtube.com/channel/UCFLRxVeYcB1H7DbuYZQG-lgLinkedin: https://www.linkedin.com/company/lauraflandersandfriendsPatreon: https://www.patreon.com/lauraflandersandfriendsACCESSIBILITY - The broadcast edition of this episode is available with closed captioned by clicking here for our YouTube Channel

Epic plans to overhaul Games Store, AMD and Uber earnings disappoint, Egypt moves to ban Roblox. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoy what you see you can support the show on Patreon, ThankContinue reading "Anthropic Targets OpenAI, Says Claude Will Stay Free – DTH"

Is retail suffering from "buzzword fatigue"? In this 25-minute deep dive, Nick Kaplan and Rick Watson debrief the biggest themes, surprises, and reality checks from NRF 2026: Retail's Big Show. From the noise surrounding "agentic commerce" to the practical startups actually moving the needle, we break down what brands need to know to survive the next era of retail.Key Takeaways:The Buzzword Barrier: Why brands are feeling lost in a sea of repetitive jargon and how to spot the difference between hype and high-impact tech.Practical Innovation: A look at the NRF Innovation Hub, featuring startups like Marpipe that are solving real-world problems in product feed and ad optimization.The Virtue of Patience: Navigating the rapid release cycle from giants such as OpenAI and Google requires a steady hand and a long-term view.The NRF Debrief is sponsored by Avalara and Freshmint.

Is the selling in tech overblown? Investors are looking for some clarity and pivoting their attention to Alphabet which reports in Overtime. We run through what to expect with shareholder Doug Clinton from Intelligent Alpha and Oppenheimer analyst Jason Helfstein. Plus, former St. Louis Fed President Jim Bullard weighs in on what could be next for the Fed under Kevin Warsh. And, the big battle between Anthropic and OpenAI is headed to the Superbowl. We explain. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What if the most effective strategy for leading change isn't fear-based urgency, but love? In this episode, Kevin sits down with Mohammad Anwar to explore a rethinking of how leaders can approach change by centering people, building trust, and creating psychological safety. Together, Kevin and Mohammad discuss why traditional change management approaches fail, how fear activates resistance, and why prioritizing emotional intelligence and human connection leads to sustainable transformation. They dive into six behavioral principles that underpin "love as a change strategy," including embracing discomfort, practicing empathetic curiosity, and wielding influence effectively. Mohammad also challenges conventional models like Maslow's hierarchy, advocating instead for love and belonging as the true foundation of human needs. Listen For 00:00 Why change requires leadership 00:35 Podcast welcome and purpose 01:39 Introducing Mohammad Anwar 03:35 The big idea Love as a Change Strategy 04:59 Defining love in a business context 07:38 The problem with fear based change 08:30 How love became the strategy 09:38 Personal crisis and leadership turning point 12:35 Football story and love as performance fuel 15:19 Why Maslow's hierarchy misses the mark 17:22 The six principles of leading change 22:55 Why empathetic curiosity matters 26:41 The hardest principle embrace discomfort 29:48 Choose your hard 32:34 Where to learn more and get the book 33:27 Final reflection now what Mohammad's Story: Mohammad Anwar is the Wall Street Journal bestselling author of Love as a Business Strategy: Resilience, Belonging & Success and his latest book, Love as a Change Strategy. He is the President and CEO of Softway and Culture+. A proud American Leadership Forum Senior Fellow (Class 59), Mohammad's story is as bold as his ideas. At just 20 years old, while still pursuing his B.S. in Computer Science with a minor in Mathematics at the University of Houston, Mohammad launched Softway with his family. What began in 2003 as a small web development company for local merchants has since grown into a global, people-first consulting firm specializing in digital transformation, culture, communication, and AI integration—without sacrificing humanity. https://www.softway.com/ https://www.culture-plus.com/ https://www.loveasastrategy.com/ https://www.linkedin.com/in/manwarsoftway/ https://www.linkedin.com/company/teamsoftway/ https://www.linkedin.com/company/culture_plus/ https://loveasachangestrategy.com/ This Episode is brought to you by... Flexible Leadership is every leader's guide to greater success in a world of increasing complexity and chaos.  Book Recommendations Love as a Change Strategy: Innovation, Growth, and Transformation by Mohammad F. Anwar, Frank E. Danna, Jeffrey F. Ma, Christopher J. Pitre  Wisdom Takes Work: Learn. Apply. Repeat. (The Stoic Virtues Series) by Ryan Holiday  Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI by Karen Hao  Like this? Becoming a Change Maker with Alex Budak The Problem with Change with Ashley Goodall The Art of Change with Jeff DeGraff Join Our Community If you want to view our live podcast episodes, hear about new releases, or chat with others who enjoy this podcast join one of our communities below. Join the Facebook Group Join the LinkedIn Group   Leave a Review If you liked this conversation, we'd be thrilled if you'd let others know by leaving a review on Apple Podcasts. Here's a quick guide for posting a review. Review on Apple: https://remarkablepodcast.com/itunes   

S&P futures are pointing to a slightly higher open today ahead of a busy earnings slate. Asian markets ended mixed on Wednesday. Japan's Nikkei underperformed due to a selloff in software names on AI disruption fears. The Hang Seng was flat while the Shanghai Composite was higher on stronger-than-expected services PMI data. European benchmarks are flat or slightly higher in early trading.Companies Mentioned: NVIDIA, Texas Instruments, Ford, OpenAI