Podcasts about gpt

OpenAI followed Gemini 3 with a major one-two punch, dropping both GPT-5.1 Pro and the new Codex Max coding model, while NVIDIA's blockbuster earnings smashed lingering AI bubble talk and reinforced the sense that capability curves are still accelerating across the stack. Today's episode breaks down what the new models actually do, why compaction matters, how early testers are reacting, how NVIDIA reframed the entire AI market in a single earnings call, and why this entire week may mark an inflection point in the narrative around AI progress.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/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months 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

Join Simtheory for Gemini 3 & Nano Banana Pro: https://simtheory.ai----CHAPTERS:00:00 - Gemini 3 Pro Impressions & Thoughts33:34 - xAI Releases Grok 4.1 Fast40:09 - More on Gemini 3 Pro: What We Want Improved45:46 - Gemini 3 Pro Dis Track51:16 - Thoughts on Nano Banana Pro And What It Means1:12:49 - Does Nano Banana Disrupt Design Software Like Canva? Where is This Going?1:26:20 - OpenAI's Reaction to Gemini 3 Pro & Nano Banana with GPT-5.1-Pro and Codex model updates1:32:38 - Final Thoughts & Sam Altman Sad Song1:38:41 - FATAL PATRICIA SONG1:42:12 - Gemini 3.0 Pro Diss Track----Thanks for your support plz like and sub xoxo

Our 225th episode with a summary and discussion of last week's big AI news!Recorded on 11/16/2025Hosted by Andrey Kurenkov and co-hosted by Michelle LeeFeel 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:New AI model releases include GPT-5.1 from OpenAI and Ernie 5.0 from Baidu, each with updated features and capabilities.Self-driving technology advancements from Baidu's Apollo Go and Pony AI's IPO highlight significant progress in the automotive sector.Startup funding updates include Incept taking $50M for diffusion models, while Cursor and Gamma secure significant valuations for coding and presentation tools respectively.AI-generated content is gaining traction with songs topping charts and new marketplaces for AI-generated voices, indicating evolving trends in synthetic media.Timestamps:(00:01:19) News PreviewTools & Apps(00:02:13) OpenAI says the brand-new GPT-5.1 is ‘warmer' and has more ‘personality' options | The Verge(00:04:51) Baidu Unveils ERNIE 5.0 and a Series of AI Applications at Baidu World 2025, Ramps Up Global Push(00:07:00) ByteDance's Volcano Engine debuts coding agent at $1.3 promo price(00:08:04) Google will let users call stores, browse products, and check out using AI | The Verge(00:10:41) Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product | TechCrunch(00:13:30) OpenAI says it's fixed ChatGPT's em dash problem | TechCrunchApplications & Business(00:16:01) Anthropic announces $50 billion data center plan | TechCrunch(00:18:06) Baidu teases next-gen AI training, inference accelerators • The Register(00:20:50) Meta chief AI scientist Yann LeCun plans to exit and launch own start-up(00:24:41) Amazon Demands Perplexity Stop AI Tool From Making Purchases - Bloomberg(00:27:32) AI PowerPoint-killer Gamma hits $2.1B valuation, $100M ARR, founder says | TechCrunch(00:29:33) Inception raises $50 million to build diffusion models for code and text | TechCrunch(00:31:14) Coding assistant Cursor raises $2.3B 5 months after its previous round | TechCrunch(00:33:56) China's Baidu says it's running 250,000 robotaxi rides a week — same as Alphabet's Waymo(00:35:26) Driverless Tech Firm Pony AI Raises $863 Million in HK ListingProjects & Open Source(00:36:30) Moonshot's Kimi K2 Thinking emerges as leading open source AIResearch & Advancements(00:39:22) [2510.26787] Remote Labor Index: Measuring AI Automation of Remote Work(00:45:21) OpenAI Researchers Train Weight Sparse Transformers to Expose Interpretable Circuits - MarkTechPost(00:49:34) Kimi Linear: An Expressive, Efficient Attention Architecture(00:53:33) Watch Google DeepMind's new AI agent learn to play video games | The Verge(00:57:34) arXiv Changes Rules After Getting Spammed With AI-Generated 'Research' PapersPolicy & Safety(00:59:35) Stability AI largely wins UK court battle against Getty Images over copyright and trademark | AP News(01:01:48) Court rules that OpenAI violated German copyright law; orders it to pay damages | TechCrunch(01:03:48) Microsoft's $15.2B UAE investment turns Gulf State into test case for US AI diplomacy | TechCrunchSynthetic Media & Art(01:06:39) An AI-Generated Country Song Is Topping A Billboard Chart, And That Should Infuriate Us All | Whiskey Riff(01:10:59) Xania Monet is the first AI-powered artist to debut on a Billboard airplay chart, but she likely won't be the last | CNN(01:13:34) ElevenLabs' new AI marketplace lets brands use famous voices for ads | The VergeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Get our free Google Gemini bundle with our favorite prompts + workflows: https://clickhubspot.com/sce Ep. 380 Is Gemini 3 better than GPT-5? Kipp and Kieran dive into the seismic release of Gemini 3 and what it means for the future of marketing, search, and AI-driven business tools. Learn more on how Gemini's state-of-the-art multimodal reasoning unlocks custom interactive apps in search, why dynamic AI-generated UIs signal the end of the blue links era, and how marketers can leverage Gemini to automate research, customer insights, and content more effortlessly than ever before. Mentions Gemini 3 https://gemini.google.com/ ChatGPT 5 https://chat.chatbot.app/gpt5 Claude https://claude.ai/ Replit https://replit.com/ Lovable https://lovable.dev/ Fiverr https://www.fiverr.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

In this week's episode of the Rich Habits Podcast, Robert and Austin answer your questions!---

Windows on Arm has significantly improved its gaming readiness, OpenAI has launched GPT 5.1-Codex-Max, and the Whitehouse considers centralizing AI regulation. 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 supportContinue reading "Google Has Launched Nano Banana Pro – DTH"

You ever drop everything to fix a “fire”… then realize it wasn't a fire at all?Today you'll learn why your internal alarm can pull you in all the wrong directions.And how to respond the right way, every time.I'll walk you through a simple research-based framework for how you react to threat, and how to use it to drive better results instead of overreaction.If you want to stop fighting the wrong fires and put your focus where it matters… this one's for you.Inside the episode• Why urgency isn't strategy — it's wiring. • The psychology behind false alarms and overreaction. • A simple, research-backed framework you can use to read threats with accuracy. • How to shift from reacting to noise → leading from signal.This episode is for Founders / Execs who:• Feel like they're constantly putting out fires. • Want cleaner thinking and fewer false urgencies. • Are ready to reclaim time, trust, and focus by responding with precision.Key takeaways• Your sense of urgency is shaped by experience, not truth. • False alarms drain hours, slow teams, and break momentum. • Precision beats speed. • Calm isn't risky when you know how to read threat correctly.Old you reacts fast. New you can respond right.When you understand your internal alarm system, you stop fighting the wrong fires.You stop pouring time into the wrong problems.You start putting energy where it compounds.What to do next:→ Share this with the founder who's always “putting out fires.” Ask them, “Where did your alarm pull you this week?”→ Try the 1-minute GPT quiz here: Why You Keep Putting Out the Wrong Fires GPT   → Follow Dr. Yishai on LinkedIn: https://www.linkedin.com/in/dryishai/ → Book a Pattern-Break Session (link on LinkedIn page) to experience it firsthand (limited spots).About the PodcastBuilt for high-performers who don't need help. Just leverage.This is the show that breaks what quietly kills performance at scale.Especially the mental patterns slowing down even the smartest execs and founders.If you never want to get dragged down by pressure, burnout, or hesitation… welcome home.Hosted by doctor of psychology and executive coach Dr. Yishai Barkhordari.DisclaimerThis content is for informational purposes only. It is not therapy, clinical advice, or coaching guidance. All examples and stories are illustrative. Results are not guaranteed and will vary based on personal effort, context, and market conditions. Always consult qualified professionals before making decisions that impact your business, health, or well-being.© 2025 Yishai Barkhordari, Psychologist, PLLC. All rights reserved.

If you've ever wondered how Joe somehow whips up a custom GPT for literally everything, from content creation to arguing with him when ChatGPT gets too agreeable, this is the episode you've been waiting for. Carly finally asks the question the whole community's been thinking: “How is Joe doing that?” And this time, he actually shows us.Step-by-step.On-screen.In real time.Whether you want a GPT that writes in your brand voice, handles your workflows, or just keeps you honest (looking at you, You're Wrong GPT), Joe breaks down exactly how he builds them: what's easy, what you need to prepare, and what most solopreneurs totally overlook.If you've ever said, “I wish a GPT could do this for me…” Good news: after this episode, it can.FAQs From The EpisodeDo I actually need a paid ChatGPT plan to create my own GPTs?Yes. As Joe explains, GPT creation isn't available on the free plan. You'll need the $20/month subscription to access the “Create” option. The good news? If you use even a handful of AI-powered tasks in your business, you'll easily make that cost back in saved time.What kind of “training material” do I need to upload to build a useful GPT?Think brand voice guides, examples of past content, frameworks you use, instructions you follow, or any assets that show how you want your GPT to think and write. More clarity = better output. You don't need a huge pack of documents, just a few strong examples go a long way.How do I know what kind of GPT I should create for my business?Start with the tasks you repeat constantly or the ones that drain the most time: content creation, email drafts, lead gen messages, customer onboarding, proposals, social captions, etc. If you've ever said, “I wish someone could just do this for me,” that's the perfect candidate for a custom GPT.

This is a recap of the top 10 posts on Hacker News on November 19, 2025. This podcast was generated by wondercraft.ai (00:30): Europe is scaling back GDPR and relaxing AI lawsOriginal post: https://news.ycombinator.com/item?id=45980117&utm_source=wondercraft_ai(01:53): Show HN: I made a down detector for down detectorOriginal post: https://news.ycombinator.com/item?id=45974012&utm_source=wondercraft_ai(03:17): Your smartphone, their rules: App stores enable corporate-government censorshipOriginal post: https://news.ycombinator.com/item?id=45979297&utm_source=wondercraft_ai(04:41): The Death of Arduino?Original post: https://news.ycombinator.com/item?id=45984143&utm_source=wondercraft_ai(06:04): Building more with GPT-5.1-Codex-MaxOriginal post: https://news.ycombinator.com/item?id=45982649&utm_source=wondercraft_ai(07:28): Thunderbird adds native Microsoft Exchange email supportOriginal post: https://news.ycombinator.com/item?id=45978423&utm_source=wondercraft_ai(08:52): Meta Segment Anything Model 3Original post: https://news.ycombinator.com/item?id=45982073&utm_source=wondercraft_ai(10:15): The patent office is about to make bad patents untouchableOriginal post: https://news.ycombinator.com/item?id=45985890&utm_source=wondercraft_ai(11:39): Gaming on Linux has never been more approachableOriginal post: https://news.ycombinator.com/item?id=45985506&utm_source=wondercraft_ai(13:03): Larry Summers resigns from OpenAI boardOriginal post: https://news.ycombinator.com/item?id=45979190&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Gemini 3 is out and it may change the landscape in artificial intelligence. Benchmarks have it performing better than GPT-5 and Google is leaning into its competitive advantages in AI tech. Plus, we talk about the drop in Bitcoin and how Target lost its mojo. Travis Hoium, Rachel Warren, and Jon Quast discuss: - Gemini 3 is out - Anthropic's capital raise - Bitcoin is down, but is it out? - Why Target is falling behind in retail Companies discussed: Alphabet (GOOG, GOOGL), NVIDIA (NVDA), Target (TGT), Bitcoin (BTC), Coinbase (COIN), Circle (CRCL). Host: Travis Hoium Guests: Rachel Warren, Jon Quast Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

On this TCAF Tuesday, hear an all-new episode of What Are Your Thoughts with ⁠⁠⁠⁠⁠⁠⁠⁠⁠Downtown Josh Brown⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠Michael Batnick⁠⁠⁠⁠⁠⁠⁠⁠⁠! This episode is sponsored by Public. Fund your account in five minutes or less by visiting http://public.com/WAYT Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠The Compound Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠ and never miss out! Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://instagram.com/thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/the-compound-media/⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠ Public Disclosure: All investing involves the risk of loss, including loss of principal. Brokerage services for US-listed, registered securities, options and bonds in a self-directed account are offered by Public Investing, Inc., member FINRA & SIPC. Public Investing offers a High-Yield Cash Account where funds from this account are automatically deposited into partner banks where they earn interest and are eligible for FDIC insurance; Public Investing is not a bank. Cryptocurrency trading services are offered by Bakkt Crypto Solutions, LLC (NMLS ID 1890144), which is licensed to engage in virtual currency business activity by the NYSDFS. Cryptocurrency is highly speculative, involves a high degree of risk, and has the potential for loss of the entire amount of an investment. Cryptocurrency holdings are not protected by the FDIC or SIPC. See terms and conditions of Public's ACATS & IRA Match Program. Matched funds must remain in the account for at least 5 years to avoid an early removal fee. Match rate and other terms of the Match Program are subject to change at any time. Alpha is an experimental AI tool powered by GPT-4. Its output may be inaccurate and is not investment advice. Public makes no guarantees about its accuracy or reliability—verify independently before use. *Rate as of 9/26/25. APY is variable and subject to change. Investing involves the risk of loss. This podcast is for informational purposes only and should not be or regarded as personalized investment advice or relied upon for investment decisions. Michael Batnick and Josh Brown are employees of Ritholtz Wealth Management and may maintain positions in the securities discussed in this video. All opinions expressed by them are solely their own opinion and do not reflect the opinion of Ritholtz Wealth Management. The Compound Media, Incorporated, an affiliate of ⁠⁠⁠⁠⁠⁠⁠⁠⁠Ritholtz Wealth Management⁠⁠⁠⁠⁠⁠⁠⁠⁠, receives payment from various entities for advertisements in affiliated podcasts, blogs and emails. Inclusion of such advertisements does not constitute or imply endorsement, sponsorship or recommendation thereof, or any affiliation therewith, by the Content Creator or by Ritholtz Wealth Management or any of its employees. For additional advertisement disclaimers see here ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/advertising-disclaimers⁠⁠⁠⁠⁠⁠⁠⁠⁠. Investments in securities involve the risk of loss. Any mention of a particular security and related performance data is not a recommendation to buy or sell that security. The information provided on this website (including any information that may be accessed through this website) is not directed at any investor or category of investors and is provided solely as general information. Obviously nothing on this channel should be considered as personalized financial advice or a solicitation to buy or sell any securities. See our disclosures here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/podcast-youtube-disclosures/⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

The robotics industry is on the cusp of its own “GPT” moment, catalyzed by transformative research advances. Enter Memo, the first general-intelligence personal robot, focused on taking on your chores to give back your time. Sarah Guo sits down with Tony Zhao and Cheng Chi, co-founders of Sunday Robotics, to discuss the state of AI robotics. Tony and Cheng speak to the challenges they faced while developing their technology, the innovative glove system employed to scale real-world data collection, and the impact of diffusion policy and imitation learning. Plus, they talk about their 2026 in-home beta program and why personal robots are only a handful of years away from mass deployment. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @tonyzzhao | @chichengcc | @sundayrobotics Chapters: 00:00 – Tony Zhao and Cheng Chi Introduction 00:56 – State of AI Robotics 02:11 – Deploying a Robot Pre-AI 03:13 – Impact of Diffusion Policy  04:29 – Role of ACT and ALOHA 07:02 – Imitation Learning - Enter UMI 10:38 – Introducing Sunday 11:57 – Sunday's Robot Design Philosophy 15:05 – Sunday's Shipping Timeline 19:02 – Scale of Sunday's Training Data 23:58 – Importance of Data Quality at Scale 24:56 – Technical Challenges 27:59 – When Will People Have Home Robots? 30:48 – Failures of Past Demos 32:34 – Sunday's Demos 36:53 – What Sunday's Hiring For 39:10 – Conclusion

Ed outlined the three selling paths every seller should see—cash sale, as-is listing, and as-repaired listing—and stressed presenting all three with real numbers to position yourself as the trusted solution provider. He shared his Moving Concierge system, where sellers sign a listing agreement, the home gets a Matterport scan for accurate repair measurements, and contractors prepare a repair scope, timeline, and as-repaired valuation. Ed showcased multiple success stories where this approach dramatically increased sales prices and ROI, noting that he fronts the rehab costs, requires a minimum 40% return on improvements, and allows sellers to keep all profits. He closed by referencing helpful tools including his “Color Picture CMA Tour” video and his custom GPT at WhatWouldEdSay.com.

Send us a textMatt Brown talks with Andreas Voniatis, founder and CEO of Artios, about Generative Engine Optimization and how brands win leads from AI search. They cover Google AI mode, GPT's Atlas browser, why GEO changes the game for discoverability, and why authenticity beats AI slop.Support the show

Gemini 3 officially launched, bringing one of the biggest capability jumps since GPT-4. The episode breaks down what the new model actually delivers, why its benchmark dominance matters, how developers are reacting to early tests, and what Google's new Antigravity IDE signals for the future of coding agents. The discussion covers market implications, the shifting competitive picture among Google, OpenAI, and Anthropic, and the early real-world impressions that go beyond the numbers.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/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months 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

Send us a textIn this special in-person episode of The MLO Project, Frazier and Michael sit down with Florida broker and First Coast Mortgage co-founder Jason Kindler, live from Idaho at the High Table mastermind. It's a no-fluff conversation about leadership, building efficient operations, crushing limiting beliefs, and redefining what's possible for mortgage companies heading into 2026.Kindler opens up about his personal and professional journey, including surviving the crash, getting sober, and rebuilding with intention. He shares how he's preparing his team to not just survive the next boom—but scale it, stress-free. This is a raw, strategic, and transparent deep dive into the mindset and systems that separate stagnant shops from future-proof machines.Key Topics Covered:Why operational efficiency isn't optional anymoreBuilding a tech-enabled brokerage that can scale without breakingHow small brokers can compete with big retail opsWhy speed still kills—and slow still losesAI, APIs, and building the “ideal” experiencePersonal resilience: Jason's journey through addiction and recoveryLaunching a coaching portal powered by AI + years of hard-won experienceWhy most brokerages wait too long to invest in infrastructureWhy perfect doesn't exist—but the ideal is realTactical Nuggets:Designing operational models that absorb 40–50 loans overnight without chaosHow to structure teams so originators get the support they deserveWhy it's time to unlearn what worked in the pastHow Kemmer is using two years of coaching transcripts to build a GPT-powered training hubPlanning for efficiency now so you're not scrambling when the boom hitsBig Quote:“You're 100% in control of your income. I don't care what the market's doing. I've had great years in this market—and so have others. It's mindset and execution. Period.” – Jason KemmerGuest Plug:Jason is building a full coaching platform loaded with systems, calculators, AI tools, and years of strategic content for loan officers and team leaders. Connect with him on social to learn more and get on the early list.https://firstcoastmortgagefunding.com/KindlerCoaching

Buckle up AI world. OpenAI released a new model, and apparently they're not done. Google is reportedly dropping Gemini 3 in hours. Jeff Bezos is going back hands-on building a new AI company. And that's just the tip of the AI iceberg this week. Don't get drowned out in the noise. On Monday, we cut it straight with the AI news that matters. Gemini 3 close to release, OpenAI drops GPT-5.1, Bezos to lead new AI startup and more AI News That MattersNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI GPT-5.1 Release & FeaturesGPT-5.1 Personality Controls ExplainedGPT-5.1 Thinking vs. Instant ModelsGoogle NotebookLM Deep Research UpdateNotebookLM Image & File Type SupportAnthropic $50B AI Data Center ExpansionAnthropic Claude Cyberattack IncidentOpenAI ChatGPT Group Chat Pilot LaunchJeff Bezos Project Prometheus AI StartupMeta AI Chief Yann LeCun Exit RumorsMicrosoft Fairwater AI Data Center LaunchGoogle Gemini 3 Anticipated Release UpdateNano Banana Pro Image Generator LeaksMulti-Agent Systems in Gemini EnterpriseOpenAI GPT-5.1 Prompt Cookbook ReleaseTimestamps:00:00 OpenAI Launches GPT 5.107:06 "GPT 5.1: Better, Yet Wordy"09:08 "AI Updates and Insights"11:19 NotebookLM Updates with Spreadsheet Support16:38 "ChatGPT Group Chat Collaboration"21:00 Bezos Co-CEO of AI Startup25:29 Meta's AI Overhaul Sparks Chaos28:13 "AI Exploited for Cyberattacks"30:53 "Microsoft Expands AI Data Centers"35:37 "Nano Banana Pro & Gemini 3"40:12 AI Updates: GPT-5.1 Features40:58 "AI News & Insights Weekly"Keywords:Gemini 3, Google AI, AI model release, GPT 5.1, OpenAI, AI conversational model, reasoning behavior, personality controls, compliance improvements, auto routing feature, thinking vs instant models, data center investment, Anthropic,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Head to AI.studio/build to create your first app.  Head to AI.studio/build to create your first app.  Head to AI.studio/build to create your first app. 

Keith discusses the evolving role of AI in real estate, highlighting its impact on property management and tenant interactions.  He contrasts traditional AI, which excels in IQ tasks but lacks emotional intelligence (EQ), with agentic AI, which can perform autonomous actions. Dana Dunford, CEO of Hemlane, explains how their platform uses AI to streamline repair requests, leasing, and tenant communication. She emphasizes the importance of human oversight for tasks requiring EQ.  Looking ahead, Dana predicts increased standardization and remote-first investing, with technology playing a crucial role in enhancing real estate management efficiency. Resources: Explore Hemlane's property management platform and request a demo at www.hemlane.com  Mention the GRE podcast when signing up with Hemlane to receive a 20% discount on the first year. Episode Page: GetRichEducation.com/580 For access to properties or free help with a GRE Investment Coach, start here: GREmarketplace.com GRE Free Investment Coaching: GREinvestmentcoach.com Get mortgage loans for investment property: RidgeLendingGroup.com or call 855-74-RIDGE  or e-mail: info@RidgeLendingGroup.com Invest with Freedom Family Investments.  For predictable 10-12% quarterly returns, visit FreedomFamilyInvestments.com/GRE or text  1-937-795-8989 to speak with a freedom coach Will you please leave a review for the show? I'd be grateful. Search "how to leave an Apple Podcasts review"  For advertising inquiries, visit: GetRichEducation.com/ad Best Financial Education: GetRichEducation.com Get our wealth-building newsletter free— GREletter.com or text 'GRE' to 66866 Our YouTube Channel: www.youtube.com/c/GetRichEducation Follow us on Instagram: @getricheducation Complete episode transcript:   Keith Weinhold  0:01   Keith, welcome to GRE. I'm your host. Keith Weinhold, what will real estate look like in five years as AI keeps making inroads into our lives, learn how people have begun using it to manage their rental properties and doing it more cost effectively than humans can. It's a forward looking episode today on get rich education.   Speaker 1  0:26   Since 2014 the powerful get rich education podcast has created more passive income for people than nearly any other show in the world. This show teaches you how to earn strong returns from passive real estate investing in the best markets without losing your time being a flipper or landlord. Show Host Keith Weinhold writes for both Forbes and Rich Dad advisors, and delivers a new show every week since 2014 there's been millions of listener downloads of 188 world nations. He has a list show guests include top selling personal finance author Robert Kiyosaki. Get rich education can be heard on every podcast platform, plus it has its own dedicated Apple and Android listener phone apps build wealth on the go with the get rich education podcast. Sign up now for the get rich education podcast, or visit get rich education.com   Corey Coates  1:11   You're listening to the show that has created more financial freedom than nearly any show in the world. This is get rich education.   Keith Weinhold  1:27   Welcome to GRE from Long Island's Hamptons to Hampton Roads, Virginia and across 188 nations worldwide. I'm Keith Weinhold, and you are listening to get rich education way back in the year 2010 when someone said AI, that could only mean one thing they were talking about, Alan Iverson today, it means artificial intelligence, because chatgpt debuted three years ago this month, and gosh, that changed a lot. It changed how you search for answers to everyday questions. We'll get into applying AI to real estate and property management shortly. But more broadly, look, here's what's interesting, the very premise of a chat bot, like just hearing that word, it sounds really cold and impersonal, yet think about it, Google was way less personal. When you Google something a decade ago, say list the three best paints for drywall, you'd get a list of links, and then you had to dig in and synthesize things and often interpolate to find your answer, or maybe you wouldn't even get the right answer. Instead, today, a chatbot on chatgpt or Gemini gives you the answer in nice, friendly sentences. Maybe they'll list some acrylic and latex paint varieties, and then after the answer, they come back and ask you a good follow up question. If you'd like to dig in for a deeper answer, they'll bring up something that you hadn't considered before, perhaps like it'll turn around and ask you if you want them to refine their answer to just the best latexes and acrylics specifically for rentals. And then it will ask, Would you like me to do that for you? And when you see that, you quickly feel like it's more friendly than that old list of links from a Google search. Yeah, that's a friendly Chatbot. And you can start to see what I mean here. It's not so cold and impersonal. Understand that these platforms ask you a friendly follow up question, because they want to keep you on that platform, just like anywhere else, does you already hear less about hallucinations than you used to when it would just cough up these weird errors? I feel like it's giving better answers than it did just a year or two ago. In my experience, one place where you need to be careful is that these platforms are being so nice to you at times they seem a little too agreeable. One way to break that is to tell the AI challenge my thinking, just those three words can give you a more complete answer. Challenge my thinking, as we already know, one danger about AI is everyone is quickly becoming really reliant on it, and this could be especially harmful to kids that haven't developed independent skills yet. Now I heard from a young teacher who quit her job. A lot of kids don't know how to read today. Why would they when they can just hit a button and it reads it out loud for them, between third and fourth grade, that's when children should transition from learning to read over to reading to learn. Kids have aI right in their hand now, not every kid, but increasingly, they aren't writing a full essay by hand with their own thoughts that they conjured up. Of course, chatgpt does that for them. Now it's probably good to teach chatgpt to kids in older grades, that is, if they don't already know it better than the teachers do, but you've increasingly got teens and young adults that say don't know how to write a cover letter for a resume because it's done for them. Now, much of what I've been talking about so far is called generative AI, and all that means is that it creates new content in response to your prompt. Today, we'll also talk about agentic AI in real estate that is spelled like agent and with IC at the end. How agentic AI is different from Oh, the chat GPT or Gemini prompts that I was talking about is that it acts on its own to perform a series of actions to reach a goal. So agentic AI gets kind of autonomous.    Keith Weinhold  6:06   Before we bring in a great guest to talk more about AI and property management. If you're looking for another episode on how to use AI more broadly in your life and broadly in real estate, check out episode 543 of the get rich education podcast that was a great episode from back in March again, that was episode 543 titled How to use AI for real estate.   Keith Weinhold  6:34   Now let's pull back and humanize things a little before we talk about bots. I just caught myself doing something kind of funny. Now, the other day, I used the hand ergometer at the gym. If you don't know what that is, while you're oftentimes standing up, you basically use your hands to crank this device's pedals in much the same way that bicycle pedals move. It exercises your biceps, triceps, forearm muscles. I have never seen anyone use this device at the gym before, not one person, but I wanted to try them, right? It seems like I often want to try something different from everyone else, and it looks just slightly odd to use this hand ergometer machine. Well, that's not the funny part. The next day, I was throwing a football around with a friend, and I couldn't figure out why throwing a spiral was so difficult for me and why my throwing accuracy was dreadful. Later, when I got home, my forearm started feeling sore. Oh, and I realized it was from using that hand ergometer. You know, this is such a typical guy thing to do, I made sure to DM that friend immediately to tell him that my football throws were lousy only because I had used a hand ergometer at the gym the day before. And he basically replied, yeah, your throws were really bad. It's funny that I felt so compelled to DM him like, hey, I really don't want ed thinking that I can't throw a football like that is so important or something. I could have done anything else with that two minutes of my life, but I cannot go about the rest of my day if Ed thinks I've got a bad football spiral like so important, like, my flight to Paris leaves in 30 minutes, but I'll put that whole trip in doubt, because I can't forget to tell ed I can usually throw a spiral on a football better than what he's thinking. Because, admit it, everybody has an ego. Some are just bigger than others. Well, I am bursting at the seams with a lot of broad real estate investing techniques and developments for you, but I'm putting that on hold until after today's show.    Keith Weinhold  8:45   We're talking with the CEO and co founder of property management platform, hemlane. It's spelled H, E, M, L, A, N, E, hemlane. I'll ask her where real estate will be within five years. She's a really intelligent woman and fully aware that your tenants don't want a bot to handle all of their maintenance requests. It's a lot like how you don't want to say representative to an automated phone system. It's hard to be nice when you're trying to clearly articulate it for the third time representative. Let's meet this week's guest.   Keith Weinhold  9:33   This week's guest is the CEO and co founder of hemlane. They're a property management platform with over 28,000 rentals and a billion dollars in payments process, just like we have been since day one here at GRE She is a strong advocate of purchasing properties anywhere. So that's often going to be outside your home state, because if best investments typically aren't right in your backyard, and why would you limit yourself? She supports real estate investors in setting up the most intelligent process to manage rentals from a distance, in case you want to self manage and do that. She's been named one of the top 20 women leaders and influencers in real estate tech. She has a distinguished resume previously working at Apple, and she received her MBA from Harvard Business School. She's an interesting person too. In her free time, she's an avid equestrian, paraglider and skier, so like me, she sort of has this substantial life outside of real estate too. Come on. You need to do that for your sanity. Well, we've been talking for almost a year now, but this is your first time on the show. Hey, welcome. It is the GRE debut of Dana Dunford.   Dana Dunford  10:44   Thanks so much Keith for having me. I'm so excited to be on your show and have been following it for a long time. So huge fan.   Keith Weinhold  10:52   Appreciate that Dunford is spelled D, u n, f, O, R, D, for listeners in the audio only. And this is a rather forward looking episode streamlining how to use AI in real estate and as a property management solution, putting that in your hands so that you could do that yourself. And before we're done, Dana is going to tell us what real estate investing will look like in five years, and if it's a good time to invest now. But first, Dana, I know you're an expert in leading having autonomous agents handle the tenant relations, things like communication and repair orders to a unit and rent collection. But I think a lot of people aren't really sure what an autonomous agent is. They're like, Hmm, is that somewhere between an autonomous car and a Roomba or something? So what is an autonomous agent?   Dana Dunford  11:42   Yeah, so there's two different types of AI, and where we are right now is with traditional AI. There's also agentic AI, where essentially AI will just take over, be proactive, think about things in advance, know exactly how to solve and make decisions. But Keith, to your point, very many out there here, AI, it's very much of a buzzword, and so I love some sort of parallels, just like you had mentioned with like the robot vacuum. I think a really good parallel would be self driving cars, because that's something that's applicable. We can all relate to. You know, you have Tesla, I have one, and it can drive me to and from work at any time, fully on that autonomous but there will be occasionally times in San Francisco where it will require me to take over the wheel because it's too foggy. There's something that goes on that's too complex of a situation. That is where I would say AI is today that traditional, where it's like it can follow exactly a process, but if the process messes up, like there's something in its way, it can't make a decision. It beeps at you and says, take over, whereas if you look at something like Waymo on the self driving car side, that is fully autonomous. There's no one there. There's no one making decisions. But it's very limited on where it can go, what it can do. Now the technology is better, and that's for another conversation, but it's just slower to go to market. And so with traditional AI, and what we're seeing now, it's fast to market. Everyone can use it, but you can't rely on it 100% you can't say it takes the wheel 100% of the time. And I don't have to think about it. And so that is where we are. I think a lot of experts in the space will say 2030, is when we will see this agentic AI. Will see it completely take over, but we're just not there today.    Keith Weinhold  13:47   All right, we're talking about the transition from traditional AI, which is in place today, to agentic AI, perhaps the Advent or popularity of that in five years, when I think about autonomous agent a lot of times, I like to look at etymology. Just what does that specifically mean? So we're talking about for another AI or a bot, if you will, to have autonomy over decision making. And when we think about autonomous agency with property management, how can we think of that application?   Dana Dunford  14:20   Yeah, I think that you need to break it down into what AI does very well right now, and what you could have aI fully take over, and where you might have some problems. And let me back up to if everyone remembers Watson, who beat Jeopardy, this was a while ago. The reason was, was actually because AI is very good at IQ. It can look up a ton of facts, or it can solve a really complex math problem. So anything on like the IQ side, AI is great to solve, but it's EQ that AI. Lacks, yeah, and EQ is me picking up the phone and saying, you know, Keith, I'm so sorry I messed up on, you know, whatever it was for you. If you're my boss, I'm so sorry here. So I'm going to make it right. Blah, blah, blah, blah, blah. And so that's where AI is not as good. And so when I think about any kind of system with real estate, you know, putting together your pro forma and looking at the cash flow and all of that, like AI can actually do it well, if you set up these are all the prompts that I would need, or take everything from insurance to interest rates and come up with the pro forma. But where AI will fail is a lot of times on the tenant communication side. And the reason for that is, let's just say, Keith, you have a apartment complex and there is the heat out. Well, if someone has a screaming baby in the background when you pick up the phone, you are going to answer that question, or you're going to talk to that tenant a lot differently if you're human versus if you're AI, you're going to say, oh my gosh, you have a four month old baby. You know, I also have kids. I know exactly what you're going through. And just so you know that HVAC technician is coming out right away, I will be here for you. I'm going to call you in five minutes. And so I always say, especially in real estate, because real estate is a people business, you really need to what, what you're trying to automate, or what you're trying to use, AI into four quadrants, and one axis, the horizontal axis, is IQ. Anything along that access it does well, but the vertical axis is EQ. And so the higher up you go on EQ, where you need relationships, the less likely it is, or my recommendation, would be, put a human in there. And so when we think about AI, it's like, if you're calling someone to confirm an appointment and remind them that, like an electrician is going to be there in an hour, you don't really need a human to do that. That's something that AI can do, and someone's going to have a delightful experience, right? But if it's something that requires that, EQ, that's where you're still going to have to have humans there.   Keith Weinhold  17:11   One thing that I often think about is, some years ago, popular email providers like Gmail, when someone would send you an email message asking you a question, Gmail basically started reading that email for you and giving you three little bubbles to click on the bottom, basically where you can click a yes answer, no answer or a follow up for more information, does that help give some relativity to what We're talking about here in property management and those tenant relations.   Dana Dunford  17:43   Yeah. I mean, I think that the Gmail with like, yes, no or No, thank you, or you get it also on LinkedIn that almost has zero EQ, because it's really just answering a question. It's not saying, Keith, I hope you had a wonderful weekend. You know, on your run, blah, blah, blah, blah, blah. It's not doing any of that. And so I think that is very much of a case of like, it's responding exactly to the email. I do think AI is getting better, where it's having that human touch involved in it when it responds to things. So now in Gmail, where you can have it draft you a response, but at the same time, it's not quite there unless it has enough context. And what I mean by context, and Gmail is such a good example, let's just say Keith today, if you look at Gmail and it's responding to an email, it is literally only responding based on the context it has in that email, right? But let's just say Keith, that you could increase context. So I gave you two axes, like EQ and IQ, high and low on both. Imagine if I could add a third axis on there, so it's almost like 3d and it's context. Now imagine that email you just mentioned came in, and it also could look at my messages, Keith with you on, let's just say Facebook, it also could look at the last shows that you had out there. It also just looked online at things, and maybe it could look at other, you know, information that you might have posted on LinkedIn. And maybe you posted on LinkedIn about your run this weekend. Now I can respond with a lot more context. Hey, Keith, saw on LinkedIn. You had this that is actually adding EQ to it, where it's making it much more personalized. And I think that is where the future of technology is going, and that's why data is such a big play here, because the more context you have, the better you are. And you know, we see that personally as a tech company, we wanted to control more of the data. We don't want to have a ton of APIs with other companies running maybe self guided tours for us, or running the maintenance coordination, because we need that all in our system. Because if we don't have access to the lease agreement to know specifically, do they have an occupant under one years old in the place it makes it. Lot more difficult for us to respond in a very eloquent way and help solve that EQ problem that a lot of AI has today.   Keith Weinhold  20:09   Talk to us more about how today autonomous agents are helping with property management, whether that's handling tenant requests for repair issues or helping virtual showing. So tell us more about how it's really helping investors today, and then what to watch out for.   Dana Dunford  20:27   Yeah, definitely. So the autonomous agents, or at least the AI agents, that we have always draft things up. Well we use them for like, some of the best places to use them are things like troubleshooting repair requests. Okay, 7% of repair requests that come into our system. And I'm sure with any of your guys' portfolios, you'll see the same thing, 7% we can get the tenant to solve without liability. However, we have to train the AI, so we have to say, Listen, we can have zero liability with this. So if the ceiling is over 10 feet tall, do not put a tenant on a ladder and tell them to change a light bulb. You need to know exactly like you know when a tenant says, My light bulbs out and it checks out. They moved in a year ago. That's their responsibility. Like you are not going to put them on a ladder unless you have more of that context. And so on the troubleshooting side, that is a great way where AI can respond and fully come up with here's a summary of everything we've done. And here, this request was either closed or actually, we need to pass this over to human that is a great way to use AI. You just need to make sure the data you're using is right and it's trained in the right way. Because if you don't have all of those additional specific, intricate type of examples that I mentioned for residential property management, you can get in a lot of trouble this same for an autonomous agent would be on the leasing side. It's very easy to do it early on when you get the tenant inquiries coming in, because now what you're trying to do is just qualify them. Is this person qualified for a tour, and if they are, what time do they want to see the property? Right? And how do I get them in as quickly as possible? With that, though, you have to train it. So, for example, I live in California. I live in San Francisco. You can't just say the credit score requirement is 650 because if the person is on Section eight, which you are required to accept in California, you have to give an alternative to credit in order to let them qualify. And so that's where these models to get, these autonomous AI agents. It becomes really important to be a subject matter expert in the space and be able to run this and have it train and know exactly what it should be saying in those cases. Now, Keith, I always say kind of as a rule of thumb, the farther down you get on something, the more challenging it is for it to be fully autonomous. And that's where you need a human involved. So for example, for us, once you're talking to service professional and communicating between them and a tenant, you very much need a human to be there to help with that. And same thing on the leasing side, there is no way, actually, if you know anyone, Keith, I would love to talk to them, but there is no way a tenant is going to go ahead and talk to an AI agent all the way to signing a lease and handing over the keys, especially if you're doing something like self guided tours, they're going to want someone on the phone talking to them. Hey, I'm here for you again. That EQ those quadrants I mentioned, really bringing that into play. So I found a lot of things with property management. At the beginning, you can use AI, but there's a certain point where you get to something where you say, I actually need a human to be calling or messaging, because you need that additional touch.   Keith Weinhold  23:47   That makes sense. This is not buying a weed eater. This is actually a rather intimate transaction. We're talking about where you and your family are going to live and thrive and eat and sleep every day we're talking with hemlane, CEO and co founder, Dana Dunford, about applying AI in real estate and property management more when we come back with Dana, I'm your host. Keith Weinhold   Keith Weinhold  24:12   you know, most people think they're playing it safe with their liquid money, but they're actually losing savings accounts and bonds don't keep up when true inflation eats six or 7% of your wealth. Every single year, I invest my liquidity with FFI freedom family investments in their flagship program, why fixed 10 to 12% returns have been predictable and paid quarterly. There is real world security backed by needs based real estate, like affordable housing, Senior Living and health care. Ask about the freedom flagship program. When you speak to a freedom coach there, and that's just one part of their family of products, they've got workshops, webinars and seminars designed to educate you before you invest. Start with as little as 25k and finally, get. Money working as hard as you do, get started at Freedom, family investments.com/gre, or send a text now it's 1-937-795-8989, yep, text their freedom coach, directly again. 1-937-795-8989   Keith Weinhold  25:23   the same place where I get my own mortgage loans is where you can get yours. Ridge lending group and MLS, 42056, they provided our listeners with more loans than anyone because they specialize in income properties. They help you build a long term plan for growing your real estate empire with leverage. Start your prequel and even chat with President chailey Ridge personally while it's on your mind, start at Ridge lending group.com that's Ridge lending group.com   Dolf Deroos  25:56   this is the king of commercial real estate, Dolf de Roos. Listen to get rich education with Keith Weinhold and Don't Quit your Daydream.   Keith Weinhold  26:13   Welcome back to get rich education. We're talking with Dana Dunford in a rather forward looking episode, applying AI to real estate investing and property management and Dana, I think I would wonder about if AI has much reasoning ability, as far as, why don't we say prioritization with a tenant repair request? If a tenant has a repair request because their kitchen cabinet doors are squeaky, that's probably something that needs to be handled differently and is going to be lower on the priority chain than if a sink just flooded all over the bathroom floor, and it's going to ruin the subfloor in a few hours if it's not addressed. So where are we at with AI's reasoning ability there?   Dana Dunford  26:57   It's actually pretty good at prioritization, so it can tell our team where things are from a priority list, however, where we found that we've had to train it more, and this is us putting logic into it from a large language model, is it hasn't picked up certain things. And let me give you an example. Keith, my toilets not working, right? Okay, well, the biggest question to ask is, how many toilets do you have in the house? How many are in the property? Because if there is one, that is definitely an emergency, if there are two, not so much of an emergency. And so that's where there's additional contacts that comes in, go search under the marketing description, how many toilets are in this house, right? And then confirm with the tenant the other one is still functioning. And so there's certain things like that that we've found we've had to personally train to get it to respond in the right way. But overall, like generally, it's pretty good at helping to de escalate things, turning off valves saying, hey, mop up. You would be surprised how many tenants don't just like mop up the water on the floor. They're like, Oh, I wanted to keep it so you could see what it looked like. It's like, no, no, no, you need to mop it up. And by the way, we need fans in there. And there's a point where you just get a remediation specialist there. It's one of the most expensive trades, because usually insurance is called if you're calling a remediation group, but really understanding the extent of it and stuff like that, AI is actually pretty good at that. And the reason why is that is an IQ thing, where it's something easily searchable on the internet that is applicable to all homes, right? And so it's much easier for them to be able to do the prioritization of repairs.   Keith Weinhold  28:39   Okay? So an investor can basically buy or leverage the hemlane software and tell me, is there an AI integration with it? And like, how does that interface actually look and how much does the investor need to use it? What's already built in? Tell us more there.   Dana Dunford  28:58   Yeah. So we have a repair coordination. So when we build features, we build features to solve problems, not to like call it a feature, right? And so there's one feature we have called repair coordination, and that is to end to end, coordinate your repair all the way from troubleshooting to confirming work is completed and paying the service professional on your behalf. How we get that done. We don't think the owner really cares, as long as it's a five star experience for them and a five star experience for the tenant. And so what we've done in our approach has been, you always have humans that you start with, and these are people who are trained specifically in all of these things we've been talking about. Then what you do is you add AI in, and it's not quite yet a co pilot, a co pilot, is actually helping, like, make those decisions, but it's making the humans faster. And then the humans can come back to us, our repair coordinators, and say, Hey, listen, this is where the AI fails a bit. This is where I had to replace something in the AI before I clicked send. And. That is a really good way to do it, because I've seen out there, and I'm even though I'm in Silicon Valley, I'm in San Francisco, like aI Mecca, I'm probably more conservative on using it in part because of tenant landlord law and just what can go wrong. And so for me personally, it's like, I see sometimes out there where people's like, use our AI repair coordinator and it's fully AI. And it's like, yeah, but we've seen cases where the AI fails, just like I mentioned, where my car asks me to take over the wheel and and that's where I think that we're just not quite there yet, and we need to give it more time, you need to make sure you're using the right technology for it, but that's where I feel like it's almost more like an assistant to me versus an actual replacement or a co pilot yet, but it will soon get there.   Keith Weinhold  30:55   Well, a lot of times the producer or I guess, landlord, in this case, they want to use AI, but consumers don't really want to consume AI content. You can imagine, if a tenant had a problem, they don't want to feel like an AI was used all the way through the process and was never involved. So tell us more about that. I mean, how do the tenants take it?   Dana Dunford  31:17   Keith, I love that question so much. Because one I think sometimes technology companies are not transparent of what is AI and what is not AI. Yeah, I think the first thing you need to do is be transparent that it's aI talking to you. If you don't do that, you've suddenly lost trust, right? Sometimes they'll brand it as a person, but it's really not. So that's the first thing I would say. The second thing I would say is, if the AI solves what they need, we have found in a very delightful way. We have found that they don't care if it's AI, if they're chatting and it's so fast and the answer is their question, then they don't care that it's aI doing it, or human they just care about, what is my problem, and how do I get that solved? Right as quickly as possible. I think if AI was slow, they would care, like, they're like, Oh, it's a slow support agent, because they're too cheap to, like, invest in support. But no, they actually get their questions resolved. We have occasionally had tenants who have said, Hey, this didn't help me. You know, connect me with an agent, and then we connect them right away with an agent. But what's interesting in those cases is the AI actually had the right answer, so it gave them exactly the answer. But the person was like, I just don't want to talk to AI. Then the question is, how do you actually change it to make them want to talk to AI? And a lot of it has to do with that. EQ, how do you add it to make it such a delightful experience for them, where you're adding so much more in? And how you say, like, Does that help answer your question? I'm happy to like say it in a different way, if that is helpful. So I think a lot of times when someone says, oh, the AI answers that, but people just want to talk to human. It's really more that the AI didn't answer it how they wanted it to be answered, or it asked too many obnoxious questions, where the person's like, just let me talk to human. You're asking me the wrong questions. This is not applicable, and that's really where you need to have a better level of where your technology should be when you're responding to someone   Keith Weinhold  33:20   just quickly. Dana, how is it integrated with dispatch, with that sink flooded all over the floor? Example, would the AI know to contact a plumber versus just a handyman that works at a lower rate? So how does it work with dispatching?   Dana Dunford  33:35   They would before anything is dispatched, because it's another human involved. We do have, at this moment, we still have humans involved checking it, but it would know because of a couple of things we have. One is preferred service professionals. So who do you want to go out? First, second, third, fourth. Then of those service professionals, what do they do? Is it just septic, you know? Do they do full plumbing, whatever it may be, and then also, what that person's hours are like, if it's a weekend and it's an emergency and someone doesn't work weekends, you're not going to call that service professional. You're going to call the next one in line who is available. So all of that is built into it, but we still always have humans look it over to say, is that the right category? Are they dispatching the right service professional? All of that, eventually that can just take over with AI doing it. But at this moment, we still put humans involved, because most services have a service call, and we need a person to say, Yes, I made that decision to send that person out, just because, you know, could be $89 and for everything service calls add up, so we want humans to make that better for you?   Keith Weinhold  34:40   Yeah. All right, so we still have a good level of human involvement. Well, Dana, before I ask how our listeners can learn more about hemlane, what does investing in real estate look like in five years? Since you are rather forward looking there   Dana Dunford  34:56   yeah, So I think there's a couple of things right now. Keith, we had spoke. And right before this show started about how challenging it is. It's a slow real estate market. Yeah, it is. I still think people will regret if they don't purchase now versus in five years. You know, I still think you should be looking for those great deals where someone has to sell and the price doesn't matter as much and you don't have as much competition. So when you look five years out, it has to become easier to invest and manage Real Estate. Today, to me, it's still a broken process. It's still so challenging to get anything done, it's still so manual to get everything done, and it's also you're dealing with people, and people get exhausted by that, like the drama and stuff like that. So I think in five years, you'll have less of that, there will be much more standardization. And an example I would give is, like, with the taxi industry and Uber Right? Like, a very consistent quality, you know what you're going to get, you're going to get from point A to point B. We need the same thing for real estate, with what you're investing in? How that happens? There's a lot of great technology companies out there doing things exciting. Things are like fractional ownership and tokenization. I think that is something that online, being a little bit more passive is going to be a lot easier. I think remote first investing is going to be the way to go, people are going to feel so much more comfortable investing not in their backyard, which I know Keith, you and I are huge proponents of. And then I also just think that in the case of how many people are going to be focused on who's their tech partner versus just who's their local partner? I think that is going to be another thing, because of all of this we mentioned with AI and those who are using more technology, even just to source the deals. I'm not talking about management. I'm talking about straight from the start, or how you finance it. Anyone who is using more technology and better technology is definitely going to win in this space.   Keith Weinhold  37:02   Yeah, investing out of state continues to grow in popularity, and platforms like hemlane, with the right AI integrations can help reduce that friction in still a pretty high friction industry over the next five years. Well, Dana, I think you really going to get the wheels turning for a lot of listeners here, if they want to learn more about hemlane, what's the best way for them to do that?   Dana Dunford  37:26   Yeah, you can go to www.hemlane.com We've everything from free packages to manage your properties to much more full service, comprehensive with that repair coordination we spoke about just please do mention this interview slash podcast, specifically Keith and GRE and you will get 20% off your first year there. So please do make sure to mention it.   Keith Weinhold  37:50   Oh, thank you for doing that for our listeners. Dana Dunford, it's been valuable as I knew it would be. Thanks so much for coming onto the show.   Dana Dunford  37:57   Great. Thanks so much for having me.   Keith Weinhold  38:02   You Brenda, how much does it cost for an investor to use hemlane? Well, there's a free software package where you don't have to leave a credit card or anything like Dana mentioned. Their website will show you that monthly. There are a few packages and fee schedules, but they all have 14 day free trials too. Now, if you use a professional manager, it's less likely that hemlane can help you. If you self manage, you can book a free demo right there from the top of their homepage. It's really easy to find. They can help you with tenant screening, background and credit checks, listing, syndication, online rent collection, tracking rent payments, late fees, and they've got dashboards for lease and tenant status, also everything to do with streamlining maintenance requests, work orders and some of the logistics of your repair coordination, H, E, M, L, A, N, E, hemlane.com, you might like the demo. You can mention GRE for 20% off your first year. That is kind of Dana to do that for us until next week, when I'll be back to help you build your wealth. I'm your host. Keith Weinhold, don't quit your Daydream.   Speaker 2  39:20   Nothing on this show should be considered specific, personal or professional advice. Please consult an appropriate tax, legal, real estate, financial or business professional for individualized advice. Opinions of guests are their own. Information is not guaranteed. All investment strategies have the potential for profit or loss. The host is operating on behalf of get rich Education LLC, exclusively   Speaker 3  39:40   The preceding program was brought to you by your home for wealth building, get richeducation.com Transcribed by https://otter.ai

In this week's episode of the Rich Habits Podcast, Robert Croak and Austin Hankwitz sit down with Troy Cates and Garrett Paolella from NEOS Funds to talk about profiting from market uncertainty. ---

1부 [텍코노미] 챗 GPT 5.1 이렇게 바꼈습니다 - 김덕진 IT커뮤니케이션 연구소 소장 2부 [쩐설의 김선생] 무역 전쟁의 원조, 아편전쟁 2편 - 재원쌤

**GPT-5.1 just changed the AI game with 3 superpowers most people are completely missing.** In this complete guide, I break down exactly how to use Speed + Warmth, Adaptive Reasoning, and Instruction-Following Precision to 10x your productivity in sales, marketing, and strategy.**What You'll Learn:**✅ How to choose between GPT-5.1 Instant and Thinking modes for maximum ROI✅ The secret adaptive reasoning feature that makes GPT-5.1 85% more accurate✅ Why speed + warmth eliminates endless revision cycles (and saves hours weekly)✅ The 4-part prompt framework for repeatable, reliable AI workflows✅ Real-world applications across sales, marketing, GTM, and executive decisions✅ 5 workflows you can implement TODAY to delegate entire projects to AI**Quick Answer: What is GPT-5.1?**GPT-5.1 is OpenAI's November 2025 release featuring two modes: Instant (prioritizes speed + warmth with adaptive reasoning) and Thinking (deep analysis for complex tasks). It scored 85% on AIME 2025 benchmarks and introduces 8 personality presets for tone control.**Quick Answer: What are GPT-5.1's 3 Superpowers?**1. Speed + Warmth - 2x faster on simple tasks with conversational, human-like tone2. Adaptive Reasoning - Automatically decides when to think deeper (85% AIME score)3. Instruction-Following Precision - Follows specifications exactly, enabling repeatable systems**Quick Answer: Should I use GPT-5.1 Instant or Thinking mode?**Use Instant for 80% of daily tasks (emails, content drafts, quick research). Instant now has adaptive reasoning that automatically engages deeper thinking when needed. Use Thinking mode only for complex strategic decisions, multi-step analysis, or long-context workflows requiring 196K token limit.**Q: What is GPT-5.1?**A: GPT-5.1 is OpenAI's November 2025 AI model release featuring adaptive reasoning, speed optimization, and improved instruction-following. It comes in two modes: Instant (default, fast, with adaptive reasoning) and Thinking (deep analysis for complex tasks).**Q: What are the 3 superpowers of GPT-5.1?**A: 1) Speed + Warmth - 2x faster responses with natural, conversational tone, 2) Adaptive Reasoning - automatically decides when to think deeper (85% AIME benchmark), 3) Instruction-Following Precision - executes exact specifications for repeatable workflows.**Q: Should I use GPT-5.1 Instant or Thinking?**A: Use Instant for 80% of tasks (emails, content, quick analysis). Instant has adaptive reasoning built-in. Use Thinking only for complex strategic decisions, multi-step reasoning, or tasks requiring the 196K token context window.**Q: How much does GPT-5.1 cost?**A: GPT-5.1 is available to ChatGPT Plus ($20/month), Pro ($200/month), Team, and Enterprise users. Free tier access rolled out after paid users. API pricing varies by mode (Instant vs Thinking).**Q: Is GPT-5.1 better than GPT-5?**A: Yes. GPT-5.1 scored 85% on AIME 2025 (vs GPT-5's 75%), responds 2x faster on simple tasks, follows instructions more precisely, and includes adaptive reasoning which GPT-5 lacked. Users describe it as "what GPT-5 should have been."----------------Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies → https://www.aiforrevenue.com/superhumanrevenue-newsletterRyan Staley - https://ryanstaley.io/podcast/LinkedIn - https://www.linkedin.com/in/ryan-staley/Explore the latest advancements in **artificial intelligence** with GPT-5! This video explores how to leverage **chatgpt** and other **ai tools** to create powerful **ai productivity tools**. Discover the potential of **generative ai** and create your own **ai teammate** with the newest **gpt5** features.

On this episode of Crazy Wisdom, Stewart Alsop sits down with Terrence Yang to explore the US economy through the lens of federal net outlays, inflation, and growth, moving into China–US economic and military dynamics, the role of the dollar as a reserve currency, and how China's industrial and open-source AI strategies intersect with US innovation; they also get into Bitcoin's governance, Bitcoin Core maintainers, and what long-term digital scarcity means for money, security, and decentralization. To learn more about Terrence's work, you can find him on LinkedIn.Check out this GPT we trained on the conversationTimestamps00:00 Stewart and Terrence open with the US economy, federal net outlays, and why confidence matters more than doom narratives. 05:00 They compare debt-to-GDP, discuss budget surpluses, and how the US once grew out of large debt after WWII. 10:00 Terrence explains recurring revenue vs. one-time income, taxes, tariffs, and why sustainable growth is essential. 15:00 Conversation turns to China's strategy, industrial buildup, rare earths, and provincial debt vs. national positioning. 20:00 They explore military power, aircraft carriers, nuclear subs, and how hard power supports reserve currency status. 25:00 Discussion of AI competition among Google, OpenAI, Claude, and China's push for open-source standards. 30:00 Terrence raises concerns about open-source trust, model weights, and parallels with Bitcoin Core governance. 35:00 They examine maintainers, consensus rules, and how decentralization actually works in practice. 40:00 Terrence highlights Bitcoin as digital gold, its limits as money, and why volatility shapes adoption. 45:00 They close on unit of account, long-term holding strategies, and risks of panic selling during cycles.Key InsightsFederal net outlays reveal the real fiscal picture. Terrence Yang emphasizes that looking only at debt-to-GDP misses the deeper issue: the U.S. has run negative net outlays—more cash going out than coming in—for decades. He argues that sustainable recurring revenue, not one-time windfalls or asset sales, is what ultimately stabilizes a nation's finances.Confidence is an economic force of its own. Terrence warns that cultural pessimism can damage the U.S. more than high debt. Drawing parallels to Japan's post-1990 stagnation, he notes that when people stop taking risks, innovation slows and economies ossify. The U.S. thrives on risk-taking, immigration, and entrepreneurial experimentation—and needs to preserve that spirit.Inflation and growth are locked in a difficult balance. The conversation explores how current inflation remains above target while growth feels sluggish, creating a quasi-stagflation environment. Terrence questions whether the Federal Reserve should remain tied to a 2% target or adapt to new conditions, particularly when jobs and productivity remain uneven.China's economic strategy is broad, deliberate, and deeply practical. From inviting Western VCs in the 1990s to absorbing semiconductor know-how and refining rare earth materials, China built an industrial base that now rivals or surpasses U.S. manufacturing in many domains. Yet its provincial and real-estate debt highlight structural weaknesses beneath the surface.The U.S. dollar's dominance rests on military and institutional power. Terrence argues that reserve-currency status persists because the U.S. guarantees open trade routes and global security. Even countries with weak currencies prefer the dollar in black markets. Competitors like BRICS may want an alternative system, but replacing the dollar requires decades, not years.Open-source AI is becoming a geopolitical tool. China's strategy of flooding the world with strong, free, open-source models mirrors Linux's global influence. Terrence notes that trust and transparency matter, since open-source code still requires knowledgeable maintainers who can verify safety, intentions, and alignment. This dynamic is now a competitive front in the AI race.Bitcoin governance is both decentralized and fragile. Terrence explains that Bitcoin Core has very few maintainers and relies on a culture of trust, review, and distributed accountability. While Bitcoin works well as long-term “digital gold,” improvements are incremental, and the small number of developers poses systemic risks. He stresses that understanding governance—not just price—is crucial for anyone serious about Bitcoin's future.

Matt Knaggs, Senior Business Value Lead at Zilliant, brings a decade of pricing insight shaped by an unexpected leap from industrial safety into commercial excellence. Known for blending analytics, AI, and practical sales enablement, he now helps B2B companies make smarter, more confident pricing decisions by pairing data science with human judgment. In this episode, Matt and Mark dive straight into the real-world intersection of pricing and AI, where deterministic models still set prices, GenAI fills in missing context, and messy CRM data finally becomes usable.  Matt shares how he built a custom GPT that builds other GPTs, why "pricer in the loop" is essential, and how AI can elevate pricing teams without replacing them. They unpack the future of pricing, the danger of outsourcing expertise, and why curiosity beats perfection in an AI-driven world.   Why You Have to Check Out Today's Episode: Learn how AI can enhance pricing (without setting prices for you) - including specific use cases where GenAI adds context, fills data gaps, and boosts pricer effectiveness. Discover the "Pricer in the Loop" model and why Matt believes humans will remain essential for trust, validation, nuance, and internal adoption. See how to use AI as a thought partner - to generate buyer problems, value drivers, competitive alternatives, and messaging frameworks that accelerate value-based pricing.   "Don't hide from all of the advancements in AI. It can be scary and intimidating, but try what you can. AI won't tattle on you for asking dumb questions." - Matt Knaggs   Topics Covered: 03:30 – How Matt Went From Safety to Pricing—and Why the Discipline Hooked Him 04:22 – The Reality of AI in Pricing: What Matt Sees Working (and Failing) Inside Companies 11:58 – Matt Reacts to Mark's Approach: Using AI to Map Buyer Context 15:34 – When a Pricing Expert Builds AI That Builds AI: Matt's Custom GPT Story 19:01– The Messy Data Problem Every Pricer Knows… and How Matt Uses AI to Fix It 24:09– Matt's Honest Take on the Future: Why AI Won't Replace Pricers Anytime Soon 27:34 – The Threat to Expertise: Matt and Mark Explore What Happens When People Outsource Thinking 31:53 – What AI Can Do for Pricing Strategy (If You Use It Intelligently) 33:15 – Matt's Final Challenge to Pricers   Key Takeaways: "AI is probabilistic, not deterministic. You can give it the same inputs and get different outputs. That's why I'm not ready for GenAI to set prices." - Matt Knaggs "You don't need to learn AI to protect your job. But if you ignore it, the person who learns how to use AI might take your job." - Matt Knaggs "The future pricer isn't replaced—it's the translator. The one who explains the 'why' behind what AI suggests." - Matt Knaggs "You can't outsource judgment. You need the pricer in the loop to validate hallucinations, nuance, and context." - Matt Knaggs "AI can scan markets, pull competitor moves, and hand-wave at things you should consider—things deterministic models miss." - Matt Knaggs   People & Resources Mentioned: Zilliant: Pricing optimization & management platform where Matt leads value initiatives Stephan Liozu: Pricing author referenced for value-based pricing frameworks Salesforce + OpenAI / Claude Connectors: For CRM automation   Connect with Matt Knaggs: LinkedIn: https://www.linkedin.com/in/matthewknaggs/   Connect with Mark Stiving: LinkedIn: linkedin.com/in/stiving Email: mark@impactpricing.com  

This deeply personal episode shares how Nathan used AI to navigate his 6-year-old son's cancer diagnosis and treatment journey. He details using GPT-5 Pro, Claude, and Gemini 3 to double-check doctors' decisions, research treatment protocols, plan for potential recurrence scenarios, and handle complex secondary issues like mold remediation during immunosuppression. The episode reveals AI's transformative potential as medical advisors, providing analysis comparable to human doctors while enabling more effective patient advocacy and personalized care planning. Sponsors: Framer: Framer is the all-in-one platform that unifies design, content management, and publishing on a single canvas, now enhanced with powerful AI features. Start creating for free and get a free month of Framer Pro with code COGNITIVE at https://framer.com/design Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) A Son's Diagnosis (06:05) Exponentials & Early Symptoms (13:30) Crisis on Vacation (Part 1) (15:00) Sponsors: Framer | Tasklet (17:41) Crisis on Vacation (Part 2) (24:26) AI's First Intervention (Part 1) (34:34) Sponsor: Shopify (36:31) AI's First Intervention (Part 2) (36:41) Advocating for Answers (47:56) The Scariest Days (59:06) AI as Bedside Co-Pilot (01:11:42) Managing Secondary Risks (01:18:28) Planning for Relapse (01:31:54) AI's Undeniable Value (01:43:02) Rage for Right to Try (02:02:55) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

En pleno bombardeo de Black Friday, recopilatorios de “cómo ha ido el año” y “propósitos 2026”, yo me adelanto un poco y te cuento sin humo cómo ha sido realmente nuestro 2025 como estudio: qué ha funcionado, qué no, y qué voy a cambiar sí o sí para 2026 para no morir de trabajo y seguir siendo rentable.En este episodio te abro las tripas del negocio:cómo ha sido el primer año con Sergio contratado, por qué tenemos que subir aún más tarifas, cómo gestionamos tanta carga de curro sin vacaciones (mal ahí

In this episode, Cathy Sykora delves into how artificial intelligence (AI) is transforming the way wellness and health coaches run their businesses, create programs, and engage clients. She shares her personal experiences—both what's worked and what needs caution—and outlines actionable strategies to leverage AI for operations, content creation, marketing, and coaching workflows. Cathy emphasizes that while AI can dramatically accelerate productivity, it still requires human oversight to maintain integrity, authenticity, and scope of practice. She also explains how to build your own branded "voice" in AI tools and avoid common pitfalls, like over‑reliance or blind trust in generated content. If you're a coach ready to up‑level your business efficiency and client impact, this episode gives you a roadmap to make AI a practical asset. In this episode, you'll discover: How to use AI for business operations: contracts, SOPs, onboarding forms, project management and meeting recaps. Ways to build coaching programs and client content in days instead of years using AI‑powered templates, guided meditations, quizzes and tracking systems. Effective marketing and visibility uses: sales sequences, email marketing, lead magnets, website copy, SEO keywords — and how Cathy uses a custom GPT with her voice. Client experience and engagement innovations: supervision models, progress‑tracking systems, reflection questions, resource lists and automation. Coaching growth and education: how AI supports lesson summaries, case studies, practice coaching sessions, client avatars, pricing calculators, workflow outlines and staying on top of wellness research. Key caution points: verifying accuracy, staying within scope, reviewing output, using multiple AI sources, and not treating AI as a "person". Memorable Quotes: "There are times when I ask the GPT: 'Are you sure?' and it'll say, 'You have a good point…' because it finds the flaw when you challenge it." "I can create an entire sales sequence in three minutes where it used to take me three days." "AI doesn't replace experts. It amplifies them. The leaders who win the next decade will be those who combine human insight with machine precision." Bio: Cathy Sykora is the founder of the Health Coach Group and has over 40 years of business experience, including extensive work in public health, education, and communication. Her mission is to empower health coaches and practitioners to create thriving practices that transform lives. Through ready‑to‑brand programs, websites, and business tools, Cathy has supported thousands of coaches in building successful businesses. Links to Resources: Health Coach Group Website: thehealthcoachgroup.com (https://www.thehealthcoachgroup.com) Special Offer: Use code HCC50 to save $50 on the Health Coach Group website Leave a Review: If you enjoyed the podcast, please consider leaving a five-star rating or review on Apple Podcasts.

In this episode, Becky interviews podcast growth expert Traci DeForge, founder of Produce Your Podcast, to uncover simple but powerful methods podcasters can use to boost visibility, improve discoverability, and grow their shows—without spending a lot of money. From optimizing podcast settings to repurposing content strategically, this conversation is packed with actionable tips podcasters can implement today. Go to the show notes for a freebie workbook and GPT to sell your digital product at BeckyBeachShow.com.

Bruno et Jérôme reviennent sur une série d'actualités tech marquantes, avec une bonne dose de taquineries autour du iPhone Air, un appareil promis à une carrière écourtée. Quelques mots sur le nouveau OnePlus 15, salué pour son autonomie impressionnante, sa fluidité et son rapport qualité-prix. Le duo s'amuse ensuite de l'« iPhone Pocket », un accessoire Apple décrit comme une chaussette design vendue à prix fort pour les fêtes. Puis, la démission de Yann LeCun de Meta retient toute leur attention. Le segment se poursuit avec une discussion sur GPT-5.1 et sur les coûts astronomiques de Sora 2.0. Enfin, ils commentent la vidéo très commentée du robot humanoïde russe AIDol, avant d'ouvrir sur les avancées européennes en robotique et l'annonce d'un premier microprocesseur souverain conçu en France.

On revient sur le départ annoncé de Yann LeCun, patron de la recherche en IA chez, GPT-5.1, la chute du robot russe AIdol, la chaussette connectée d'Apple : l'actu techno vue depuis Paris et Montréal.Avec Bruno Guglielminetti (Mon Carnet)Yann LeCun claque la porte de MetaLe cofondateur de l'IA moderne quitte Meta après douze ans. Une rupture révélée par le Financial Times qui traduit un désaccord de fond avec Mark Zuckerberg. L'arrivée d'une nouvelle direction plus business-oriented, incarnée par Alexandr Wang (Scale AI), aurait précipité son départ. Yann LeCun pourrait lancer sa propre start-up — une bonne nouvelle pour une IA plus éthique et utile.GPT-5.1 : plus personnalisé, plus utile ?OpenAI corrige le tir après le flop de GPT-5. La version 5.1 promet une IA plus « friendly », avec des vitesses de réponse réglables (Auto, Instant, Thinking) et des interactions plus naturelles. Mais la vraie question reste : à quel prix ? Selon Forbes, faire tourner Sora, le générateur vidéo d'OpenAI, coûterait 15 millions de dollars par jour.Russie : le bide robotiqueLe robot humanoïde russe AIdol s'effondre en direct lors de sa présentation officielle. Une séquence surréaliste qui contraste avec les approches plus prudentes d'acteurs comme Wandercraft (France) ou 1X Technologies (Norvège). Ces entreprises misent sur l'intégration industrielle et l'assistance au quotidien plutôt que sur l'effet d'annonce.Côté smartphone : OnePlus 15, iPhone PocketBruno teste le OnePlus 15 : design soigné, autonomie de deux jours, processeur Qualcomm dernière génération… un excellent rapport qualité/prix. Pendant ce temps, Apple commercialise l'iPhone Pocket, un étui textile designé par Issey Miyake vendu jusqu'à 250 € — un produit gadget déjà culte… et introuvable.À écouter dans Monde Numérique et Mon CarnetDans L'Hebdo, je donne la parole à SiPearl, concepteur du futur microprocesseur souverain européen, et je reçois le journaliste Guillaume Grallet pour son livre Pionniers.Dans Mon Carnet, Bruno Guglielminetti revient sur le sommet du jeu vidéo à Montréal, l'impact des IA sur le site du gouvernement du Québec, et les essentiels pour se lancer dans le podcast.-----------♥️ Soutien : https://mondenumerique.info/don

Micro Firings Dominate Layoffs, AI Guardrails Bypassed, Own Your AI Model - Hashtag Trending In today's episode of Hashtag Trending, Jim Love discusses the rise of 'micro firings' and how small-scale continuous layoffs are reshaping job security according to Glassdoor. The episode also covers a cybersecurity report highlighting how AI guardrails can be bypassed using nonsense text, making current safety measures potentially flawed. Furthermore, it explores the accessibility of running personal AI models on consumer hardware, thanks to tools like Ollama and GPT for All. Additionally, a CNBC survey reveals that AI is expected to reshape almost 90% of jobs by 2026. Lastly, Microsoft's shutdown of the KMS 38 activation hack for pirated Windows versions is examined, emphasizing the risks associated with pirated software. 00:00 Introduction and Sponsor Message 00:24 The Rise of Micro Firings 03:08 AI Guardrails: A Flawed Foundation? 05:59 Running Your Own AI Model 08:28 AI's Impact on Future Jobs 10:13 Pirated Windows: Risks and Consequences 12:05 Conclusion and Sponsor Message

Are current AI models smart enough to rule the world — or just house cats with fancy vocabulary?This week, a tectonic shift is happening in AI: Meta's chief scientist Jan LeCun quits to chase world models, Fei-Fei Li launches Marble, a spatial intelligence engine, and DeepMind drops CMA-2, a self-taught gamer bot that might be the blueprint for AGI.Meanwhile, OpenAI releases GPT-5.1 — and China's Kimi K2 and Ernie 5.0 roll out shockingly powerful, ultra-low-cost models. The AI race isn't just about intelligence anymore — it's about who can afford to scale.If you lead a business, this episode explains why spatial intelligence, not language, may soon be your competitive edge. The next wave of AI isn't just about better answers, it's about deeper understanding, real-world interaction, and models that scale affordably. If you're not watching spatial intelligence, you're already behind.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

AI in Your Restaurant: How Operators Can Save Hours, Increase Profit, and Build Smarter Systems Today https://restauranttopia.com/ Episode Summary In this high-energy, highly practical episode, Brian Seitz and Dave Ross break down the real-world, right-now ways AI can support restaurant operators. Whether you're hesitant, curious, or already all-in, this conversation will help you understand how to use AI to cut time-wasting tasks, improve menu performance, strengthen training, and build your own custom GPT to run sharper operations. AI isn't a trend — it's the next major shift in how restaurants operate. And the opportunity? Massive. Dave and Brian share exactly how they're using AI daily and walk through simple, battle-tested use cases that any operator can start implementing this week. What You'll Learn in This Episode ✔ Why AI in restaurants is not a fad — and why ignoring it puts operators behind ✔ Real use cases for AI in restaurants: Menu engineering & PMIX analysis in minutes Staff training + SOP creation Inventory and ordering optimization Marketing workflows (newsletters, social media, content) Customer service, phone ordering, and reservation automation ✔ How to create your own custom GPT for your restaurant What to upload How to train it How to empower managers and staff with a "digital assistant" ✔ What to avoid when starting with AI Privacy pitfalls Over-automation Connecting systems too quickly ✔ Quick wins to try this week Replace 5–10 weekly Google searches with AI prompts Use voice prompting to train your AI assistant on the go Build SOPs, onboarding documents, or menu descriptions with a single prompt Use AI for specials based on your current order guide Sample Prompts You Can Copy & Use Menu Engineering Prompt: "Analyze this PMIX and identify my highest-margin items, items that need attention, and any dogs I should consider removing. Provide recommendations for pricing and promotion." Training Prompt: "Create a step-by-step SOP for training new hosts at a neighborhood casual dining restaurant." Marketing Prompt: "Draft a 6-week social media content plan for a locally-owned restaurant. Include post copy, themes, and calls to action." Custom GPT Setup Prompt: "I want to build an AI agent for my restaurant that handles menu innovation, staff training, and marketing. Ask me every question you need to fully understand my business and build the right system." Take Action If you're new to AI, start small: 1️⃣ Download ChatGPT, Claude, Copilot, or your preferred tool. 2️⃣ Use AI instead of Google for one full day. 3️⃣ Upload a simple restaurant document and ask it to make improvements. 4️⃣ Create your own custom GPT once you're comfortable. Small habits add up — and they will make you faster, sharper, and more profitable. Connect With Us We want your AI success stories! Tag us or message us on social: Facebook | Instagram | LinkedIn: @Restaurantopia

Le patron français de la recherche en IA de Meta sur le départ, cyberattaque pilotée par une IA, microprocesseur souverain : encore un épisode bourré de tech et d'IA !

Today's episode examines the core debate shaping the AI industry: whether application-layer companies can survive the pace and instability of the model layer. The discussion covers the arguments that apps can't outrun rapid model shifts, the counter-case for deep vertical products, and what Cursor's momentum reveals about where durable value might emerge. The episode also includes a fast headlines sweep on agentic cyber-espionage, major infrastructure investments, breakthrough agents, and the latest updates to GPT-5.1.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/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months 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

NLW breaks down the surprise release of GPT-5.1 and why it feels like a more meaningful upgrade than expected. From sharper strategic thinking to better instruction following, improved writing, and a more capable “thinking” mode, today's episode explores six areas where the new model clearly outperforms GPT-5. NLW also looks at how the community is reacting, why vibes now matter more than benchmarks, and what this shift means for everyday AI use. 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/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months 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

OpenAI released GPT-5.1 with updates to vision, ChatGPT personalities and, most importantly, vibes while Google's Nanobanana 2 and Gemini 3 Pro gently start leaking incredible results.   Plus, Disney is ok with AI content on Disney+, Grok Imagine gets a big update, a very cool new 3D world simulator from World Labs, the number one song country song right now is an AI music creation and, in China, they're cooking up Xenomorphs. WE'RE GETTING TO THE GOOD STUFF NOW BABY! ALSO, WE'RE TIRED. #ai #ainews #openai   Get notified when AndThen launches: https://andthen.chat/ Come to our Discord to try our Secret Project: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // OpenAI's GPT 5.1 is here https://openai.com/index/gpt-5-1/ Encrypted ChatGPT Coming Soon? https://x.com/athyuttamre/status/1988651107846115806?s=20 Nano-Banana 2 Leaks? Early Testing of 'GemPix' Looks Promising https://x.com/MarsForTech/status/1988041526891737551?s=20 More examples: (all grain of salt) Elon on horse  https://x.com/pigeon__s/status/1988733671189414162?s=20 Celebrity Images From Early Checkpoint: https://x.com/rpnickson/status/1987353691167264792?s=20 Gemini 3.0 Pro might be rolling out: https://x.com/initjean/status/1988969894759788953?s=20   Cool But Wonky Walrus: Google's New Nested Learning Paper https://x.com/GoogleResearch/status/1986855202658418715?s=20 Disney Will Allow AI Content on Disney+ https://www.hollywoodreporter.com/business/digital/disney-plus-gen-ai-user-generated-content-1236426135/ Gavin's write-up from Monday about Sora 2's Remix feature  https://aiforhumans.beehiiv.com/p/sora-2-s-remix-feature-will-change-how-we-create Grok Imagine Video Vastly Improved Generation https://grok.com/imagine wHorror Movie Stills https://x.com/dreamingtulpa/status/1988713454509945036?s=20 Modifying Environmental Elements https://x.com/MrDavids1/status/1988366387111170339?s=20 Dor Brothers Video: https://x.com/thedorbrothers/status/1989026481620627728?s=20 NSFW (the Grok response on this is very funny): https://x.com/xAIGrokImagine/status/1987286721432834142?s=20 Number One Country Song is AI Generated https://www.newsweek.com/breaking-rust-ai-music-country-digital-sales-11022040 Mikey (Suno) on TBPN Talking About AI Music https://x.com/tbpn/status/1986943451133583378?s=20 Marble By World Labs: Make Your Own 3D World https://marble.worldlabs.ai/ Russian Android Fail https://x.com/BohuslavskaKate/status/1988335548478755185?s=20 Incredible Chinese Alien AI Cooking Video https://x.com/imxiaohu/status/1987149826195398824?s=20 Cool Music AI Music Video Walkthrough Using AI Lipsync https://x.com/CoffeeVectors/status/1988350617405059162?s=20 Snoop Dogg On Sora Now (In Mortal Kombat) https://www.reddit.com/r/aivideo/comments/1oup2f2/snoop_dogg_in_mortal_kombat/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button  

In this episode of Crazy Wisdom, host Stewart Alsop talks with Kevin Smith, co-founder of Snipd, about how AI is reshaping the way we listen, learn, and interact with podcasts. They explore Snipd's vision of transforming podcasts into living knowledge systems, the evolution of machine learning from finance to large language models, and the broader connection between AI, robotics, and energy as the foundation for the next technological era. Kevin also touches on ideas like the bitter lesson, reinforcement learning, and the growing energy demands of AI. Listeners can try Snipd's premium version free for a month using this promo link.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop welcomes Kevin Smith, co-founder of Snipd, to discuss AI, podcasting, and curiosity-driven learning.05:00 – Kevin explains Snipd's snipping feature, chatting with episodes, and future plans for voice interaction with podcasts.10:00 – They discuss vector search, embeddings, and context windows, comparing full-episode context to chunked transcripts.15:00 – Kevin shares his background in mathematics and economics, his shift from finance to machine learning, and early startup work in AI.20:00 – They explore early quant models versus modern machine learning, statistical modeling, and data limitations in finance.25:00 – Conversation turns to transformer models, pretraining, and the bitter lesson—how compute-based methods outperform human-crafted systems. 30:00 – Stewart connects this to RLHF, Scale AI, and data scarcity; Kevin reflects on reinforcement learning's future. 35:00 – They pivot to Snipd's podcast ecosystem, hidden gems like Founders Podcast, and how stories shape entrepreneurial insight. 40:00 – ETH Zurich, robotics, and startup culture come up, linking academia to real-world innovation. 45:00 – They close on AI, robotics, and energy as the pillars of the future, debating nuclear and solar power's role in sustaining progress.Key InsightsPodcasts as dynamic knowledge systems: Kevin Smith presents Snipd as an AI-powered tool that transforms podcasts into interactive learning environments. By allowing listeners to “snip” and summarize meaningful moments, Snipd turns passive listening into active knowledge management—bridging curiosity, memory, and technology in a way that reframes podcasts as living knowledge capsules rather than static media.AI transforming how we engage with information: The discussion highlights how AI enables entirely new modes of interaction—chatting directly with podcast episodes, asking follow-up questions, and contextualizing information across an author's full body of work. This evolution points toward a future where knowledge consumption becomes conversational and personalized rather than linear and one-size-fits-all.Vectorization and context windows matter: Kevin explains that Snipd currently avoids heavy use of vector databases, opting instead to feed entire episodes into large models. This choice enhances coherence and comprehension, reflecting how advances in context windows have reshaped how AI understands complex audio content.Machine learning's roots in finance shaped early AI thinking: Kevin's journey from quantitative finance to AI reveals how statistical modeling laid the groundwork for modern learning systems. While finance once relied on rigid, theory-based models, the machine learning paradigm replaced those priors with flexible, data-driven discovery—an essential philosophical shift in how intelligence is approached.The Bitter Lesson and the rise of compute: Together they unpack Richard Sutton's “bitter lesson”—the idea that methods leveraging computation and data inevitably surpass those built from human intuition. This insight serves as a compass for understanding why transformers, pretraining, and scaling have driven recent AI breakthroughs.Reinforcement learning and data scarcity define AI's next phase: Stewart links RLHF and the work of companies like Scale AI and Surge AI to the broader question of data limits. Kevin agrees that the next wave of AI will depend on reinforcement learning and simulated environments that generate new, high-quality data beyond what humans can label.The future hinges on AI, robotics, and energy: Kevin closes with a framework for the next decade: AI provides intelligence, robotics applies it to the physical world, and energy sustains it all. He warns that society must shift from fearing energy use to innovating in production—especially through nuclear and solar power—to meet the demands of an increasingly intelligent, interconnected world.

OpenAI lanza GPT-5.1 con razonamiento adaptativo y ocho personalidades conversacionales, tres meses después del fallido GPT-5. No es un avance tan orientado a la innovación como a reparar relaciones erosionadas en un mercado donde ya no son los únicos.Profundiza:TítuloLoop 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:

You're living in the future now—where ChatGPT rides shotgun and your car's dashboard becomes your co-pilot. This week, you'll explore how AI and CarPlay are merging to make driving smarter and conversations with tech more natural. Discover how Shannon and Dave use GPT behind the wheel and why they wouldn't […] The post FridAI – GPT Carplay and Context Windows – Business Brain 701 appeared first on Business Brain - The Entrepreneurs' Podcast.

In this empowering episode, Anna sits down with Miriam Schulman — artist, author, and founder of The Inspiration Place Podcast — to explore what it really takes to turn your creativity into a sustainable livelihood.After walking away from a lucrative hedge fund job in the wake of 9/11, Miriam chose to build a life centered around her art. Now, through her coaching programs, her podcast, and her best-selling book Artpreneur, she helps other artists and creatives do the same.Together, Anna and Miriam talk about the mindset shifts, practical tools, and visibility strategies that help creatives stop undercharging, start sharing their work confidently, and build income with integrity.✨ In this episode, you'll learn:The #1 reason so many creatives don't stick with their dreams — and how to change thatWhy charging money for your work isn't “selling out” — it's self-respectHow to stop letting fear of visibility keep you from connecting with your audienceThe difference between “marketing” and simply telling your story with clarity and convictionWhy being a successful creative isn't about talent alone — it's about treating your work like it mattersWhat to do if you're overwhelmed and don't know where to start

This Week's Topics: Elon hopes Optimus robot can be a Robocop Firefox releases anti-fingerprinting features OpenAI releases GPT-5.1 model Episode's chat: https://britishtechnetwork.com/chat/view.php?dt=2025-11-13 Guests: Jeff Gamet, Patrice Brend'amour, Ian Grant, Tom Ferry

This Week's Topics: Elon hopes Optimus robot can be a Robocop Firefox releases anti-fingerprinting features OpenAI releases GPT-5.1 model Episode's chat: https://britishtechnetwork.com/chat/view.php?dt=2025-11-13 Guests: Jeff Gamet, Patrice Brend'amour, Ian Grant, Tom Ferry

팔로우업- 카카오톡 사태 - 결국 항복 - 이승건씨가 뿔났어요 - 꺼라위키가 뭐가 중헌디- 시놀로지, 자사 하드디스크 정책 철회- 조니 아이브의 오픈AI 하드웨어 정체는?제임스 본드에게서 총을 뺏었습니다디즈니가 미는 새로운 프랜차이즈취소된 어쌔신 크리드 게임 이야기운전자들을 위한 iOS 26 꿀팁비트윈 해킹 사건테슬라에 방향 지시 스토크 달아드려요테슬라 모델 3 & Y 스탠더드AI 배우와 AI 감독- 배우- 감독테일러 스위프트, 티저 영상에 AI 썼다?지하철 안내 음성을 성우 대신 AI로?챗GPT의 삭제된 대화, 이제 진찌로 지워진다오픈AI Dev Day소라 2 난리티떱님이 만든 소라 영상

Grant Lee is the co-founder of Gamma, the AI-powered presentation tool that's one of the hottest and most interesting AI startups in the world right now. They're valued at over $2 billion, and they hit $100 million ARR in just over two years, with a lean team of just around 30 people. Unlike many fast-growing AI startups, Gamma has been profitable for most of its history, has not raised significant funding, and they built a massive business in a category most investors dismissed. In fact, one investor told Grant his idea was “the dumbest idea he had ever heard.”We discuss:• How Gamma found product-market fit by rethinking their onboarding• Their process for building a “word-of-mouth machine”• How they leveraged more than 1,000 micro-influencers instead of big names• Why focusing on the “first 30 seconds” transformed their business• Their approach to pricing that led to profitability within months• How Grant thinks about building a durable “GPT wrapper” business—Brought to you by:Vanta—Automate compliance. Simplify security.Justworks—The all-in-one HR solution for managing your small business with confidenceMiro—A collaborative visual platform where your best work comes to life—Where to find Grant Lee:• X: https://x.com/thisisgrantlee• LinkedIn: https://www.linkedin.com/in/grantslee—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Grant Lee and Gamma(05:59) The founding story of Gamma(09:52) Achieving product-market fit(15:43) Self-awareness as a founder(17:17) The power of onboarding(20:41) The original insight that led to Gamma(22:42) Founder-led marketing and growth tactics(29:20) Sharing online(37:40) Getting to $100M ARR(41:19) Influencer marketing as a growth strategy(54:08) Virality is not an accident(58:30) Investing in brand before paid ads(01:02:04) Tips for getting started with performance marketing(01:04:49) Prototyping and user feedback(01:16:12) Adapting and moving quickly(01:19:21) The concept of GPT wrapper companies(01:22:16) Deep dive into workflow and model utilization(01:29:06) Pricing strategies(01:34:53) Hiring philosophy and practices(01:43:24) Betting big on high performers(01:45:03) Final thoughts and lightning round—References: https://www.lennysnewsletter.com/p/how-50-people-built-a-profitable-ai-unicorn—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Valve is taking on gaming consoles and creating a new type of VR headset, all at the same time. GPT-5 gets “warmer.” Cursor's new raise means it has 10x'd its valuation in the span of a year. And we're one step closer to your phone completely replacing your wallet. Valve brings back Steam Machine and Steam Controller — hands-on with Valve's new AMD-based living room gaming hardware (Tom's Hardware) The Steam Frame is a surprising new twist on VR (The Verge) Microsoft to Use OpenAI's Custom Chip Work to Help In-House Effort (Bloomberg) OpenAI says the brand-new GPT-5.1 is ‘warmer' and has more ‘personality' options (The Verge) The AI Coding Startup Favored by Tech CEOs Is Now Worth $29.3 Billion (WSJ) Apple launches Digital ID, a way to carry your passport on your phone for use at TSA checkpoints (TechCrunch) Learn more about your ad choices. Visit megaphone.fm/adchoices

In this week's episode of the Rich Habits Podcast, Robert Croak and Austin Hankwitz answer your questions!---

Microsoft has built a one-million-square-foot “AI Super Factory” near Atlanta, OpenAI has launched GPT-5.1, and Spotify is preparing to launch music videos in the U.S. 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 youContinue reading "Apple's New Digital ID Allows You To Store Your Passport On Your iPhone – DTH"

Shoot us a Text.Episode #1195: Toyota doubles down on hybrids with a $14B battery bet. Waymo hits the freeway ahead of Tesla in the autonomy race. And OpenAI unveils a “warmer” GPT-5.1 with customizable personalities and smarter responses.We'll be at Automobility LA at the LA Auto Show next Thursday, November 20 hosting the LA Auto Show Sessions. Thanks to our friends at Cars Commerce and Curbee for making it possible. 25% off registration with code MoreThanCars. https://laautoshow.com/meShow Notes with links:As U.S. EV momentum slows, Toyota is increasing its already big bet that hybrids, not full electrics, are the future of American green driving, anchored by a massive new battery plant in North Carolina.Toyota's new $14B plant in Liberty, NC is its largest U.S. battery investment yet.The facility will power hybrid production in Kentucky and Alabama, with plans for EV and plug-in hybrid output.Roughly half of Toyota's U.S. sales are already hybrids or EVs, led by hybrid-only Camry and Sienna models.The RAV4 will become 100% hybrid in 2026, with plug-in sales expected to quadruple.“Regardless of where the regulation goes, we will have the capacity to support our compliance needs,” said David Christ, Toyota North America brand chief.Waymo has a commanding lead in the autonomous vehicle race now launching the first-ever robotaxi service on highways across three major U.S. cities. The move distances it even further from rivals like Tesla and Zoox.New highway service rolls out in San Francisco, Phoenix, and Los Angeles, initially for limited riders.This milestone extends Waymo's reach to San Jose and introduces airport pickups at San Jose International.The Waymo Driver has shown 91% fewer serious-injury crashes compared to human drivers.Waymo now operates over 2,500 vehicles and has logged more than 100 million driverless miles.“The Waymo Driver does not get tired, does not lose focus and does not make emotional decisions behind the wheel,” said project manager Jacopo Sannazzaro.OpenAI has rolled out GPT-5.1, calling it a smarter, more engaging upgrade to its August release of GPT-5—complete with expanded personality settings and model matching enhancements.GPT-5.1 includes “Instant” and “Thinking” variants, optimized for speed, clarity, and task persistence.New personality presets include Candid, Quirky, Nerdy, Cynical, and more, adding tone flexibility.Users will begin to see model auto-matching and personalization tools in settings.The upgrade follows user backlash to GPT-5 and competition from Anthropic powering Microsoft tools.“We're well past the point of one-size-fits-all,” said Fidji Simo, OpenAI's CEO of Applications.Join Paul J Daly and Kyle Mountsier every morning for the Automotive State of the Union podcast as they connect the dots across car dealerships, retail trends, emerging tech like AI, and cultural shifts—bringing clarity, speed, and people-first insight to automotive leaders navigating a rapidly changing industry.Get the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/

On episode 197 of Ask The Compound, Ben Carlson and Duncan Hill are joined by Ritholtz Sr. Advisor Jonathan Novy to discuss: portfolio allocation, insurance products, structuring withdrawals, the 50-year mortgage, career advice, and more. Submit your Ask The Compound questions to askthecompoundshow@gmail.com! This episode is sponsored by Public. Fund your account in five minutes or less by visiting http://public.com/ATC Subscribe to The Compound Newsletter for all the latest Compound content, live event announcements, find out who the next TCAF guest is, get updates on the latest merch drops, and more! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.thecompoundnews.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠