Podcasts about Gemini

Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training AI is either the end of agencies… or the biggest opportunity we've had since the internet. Most agree it's the second one. Agencies that are winning right now are combining SEO, GEO, AEO, and LLM optimization so they show up everywhere decisions are being made. They're using AI to increase leverage, not replace thinking. And they're restructuring their teams around strategy, insight, and proprietary data instead of repetitive task work. Today's featured guest will discuss why SEO isn't dead (it just grew up), the biggest mistake agencies are making with AI, how to 10x output without adding headcount, and why your unique data is the unfair advantage that separates you from every other agency prompting ChatGPT and hoping for magic. Terry Zelen is the founder of Zelen Communications, a 35-year-old agency that pivoted aggressively into AI over the last three years. He's helping clients win visibility across both search engines and large language models (LLMs) and even building AI tools internally to reduce hallucinations and improve accuracy. Terry has a degree in marine biology, so marketing wasn't the master plan. After college, he tried breaking into the creative world with zero portfolio and got laughed out of the room; until one person gave him a shot. He worked for free, proved himself, connected with a freelance rep, and slowly worked his way up through the agency ranks. He eventually transitioned from freelancer to agency owner by acquiring his own accounts and building relationships locally in Tampa. Fast forward three decades and now he's helping clients navigate AI, LLM visibility, and what modern SEO really looks like. In this episode, we'll discuss: Why SEO is more complicated now, but agencies willing to adapt can still win How LLM visibility will win you business AI: The greatest leverage small businesses have ever had Building an AI consensus engine Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources This episode is brought to you by Wix Studio: If you're leveling up your team and your client experience, your site builder should keep up too. That's why successful agencies use Wix Studio — built to adapt the way your agency does: AI-powered site mapping, responsive design, flexible workflows, and scalable CMS tools so you spend less on plugins and more on growth. Ready to design faster and smarter? Go to wix.com/studio to get started. SEO Is Not Dead. It's Just Way More Complicated There's a lot of noise right now around "SEO is dead" or "zero-click internet." But that's an oversimplification. SEO isn't going away. It's evolving. Today, it's not just SEO. It's: GEO (Generative Engine Optimization) AEO (Answer Engine Optimization) Local SEO EEAT (Experience, Expertise, Authority, Trust) Search intent In other words, visibility is the game. Not just ranking in Google, but showing up in LLMs like ChatGPT, Gemini, and Perplexity. Terry points out that while snippets and AI-generated summaries are increasing, people still want to verify sources. They're not buying a couch because an LLM told them it's the best. They'll still visit sites, compare options, and validate credibility. Backlinks, structured content, schema, quality. It all still matters. What's different is that now you're playing the game with Google and the LLMs. How LLM Visibility Actually Wins Business This isn't theoretical. Terry shared a story of a client who builds modular classroom buildings. A school district searched for "best mobile building producer in Florida" and the client showed up in a snippet. That visibility led directly to a new contract. So you're no longer optimizing just for rankings. You're optimizing to be the referenced authority when AI generates an answer. That means you better have structured content, clear positioning, backlinks, authority signals, and presence on surfaces LLMs scrape (including platforms like Reddit, though that's evolving). The agencies that understand this shift can bolt on new services like AI SEO or GEO and, in some cases, significantly increase revenue. But there's a catch. This space is evolving fast. What works today might not work next quarter. That's why Terry avoids gray-hat tactics and focuses on fundamentals. AI Is the Greatest Leverage Small Agencies Have Ever Had Terry believes this might be the most exciting time ever for small agencies because AI has eliminated barriers that used to require massive budgets. When a small restaurant client wanted a red snapper on a black background for their website, stock photography didn't cut it and real shoot would've required a diver, photographer, cooperative fish and a significant budget. Instead, they used Midjourney to create the image. Then they animated it so the fins and gills subtly moved. The client was blown away. For a small restaurant, this level of visual production used to be impossible. Now it's affordable and scalable. That's the opportunity. Agencies can deliver higher-quality creative, faster, and at lower cost if they know how to use the tools. A Very Real Fear for Future Marketers Terry regularly speaks to marketing students who are worried AI will take their jobs. What he tells them is that AI won't take your job, but someone who knows how to use AI will. The key is not blind reliance. It's intelligent leverage. AI is excellent at: Research Proposal drafting Competitive analysis First drafts of content Summarizing data What used to take weeks can now take hours. That frees your team from repetitive, dreaded tasks and allows them to focus on strategy, creativity, and client impact. But there's a danger in over-reliance. Too many agencies are slapping "AI" on everything without adding original thinking or proprietary data. Your edge isn't that you use AI. Your edge is your data. Every agency has unique client data, performance metrics, positioning, and experience. When you combine that with AI, that's where real leverage happens. Building a Consensus Engine to Reduce AI Hallucinations One of the more advanced things Terry is experimenting with is what he calls a "consensus engine." The problem with LLMs is that they're probabilistic, not deterministic. Ask the same question twice and you'll get two slightly different answers. They also hallucinate. To combat this, Terry built a workflow using N8N (a Zapier-like automation tool) that runs content through multiple LLMs. One writes it. Another critiques it. The final output must pass both systems before it's considered valid. If they disagree, it's sent back through with adjusted parameters. He's also exploring how different LLMs perform best in different roles: Perplexity for real-time research ChatGPT for writing Claude for programming Instead of treating AI as one tool, he's assembling a stack of specialized tools. That mindset shift, thinking like a systems architect instead of a prompt typist, is what separates surface-level AI use from strategic advantage. Do You Want to Transform Your Agency from a Liability to an Asset? Looking to dig deeper into your agency's potential? Check out our Agency Blueprint. Designed for agency owners like you, our Agency Blueprint helps you uncover growth opportunities, tackle obstacles, and craft a customized blueprint for your agency's success.

“By far, the greatest danger of AI is that people conclude too early that they understand it” —Eliezer Yudkowsky, AI researcher AI is everywhere today, and there are many exciting claims about what it can do to help us be more productive. But, is this just hype, or are there aspects of AI that can improve our productivity?  That's the question I am answering today.  Links: Email Me | Twitter | Facebook | Website | Linkedin The Hybrid Productivity Course  Get Your Copy Of Your Time, Your Way: Time Well Managed, Life Well Lived The Working With… Weekly Newsletter Carl Pullein Learning Centre Carl's YouTube Channel Carl Pullein Coaching Programmes Subscribe to my Substack  The Working With… Podcast Previous episodes page Script | 407 Hello, and welcome to episode 407 of the Your Time, Your Way Podcast. A podcast to answer all your questions about productivity, time management, self-development, and goal planning. My name is Carl Pullein, and I am your host of this show.  You may have noticed AI is everywhere. Our favourite apps seem to be adding more and more AI capability with each new update. And then there's almost every video and article on productivity warning us that if we don't get on board with this, we'll be left behind on the scrap heap.  It's also an exciting time, and there's no doubt that things are changing, and people are finding new ways to use AI to help us do our work.  But beyond the hype, how are current AI models really helping with productivity, and what will this mean for us as we try to manage our time in the future?  That's what I am looking at this week, and to get us started, let me hand you over to the Mystery Podcast Voice for this week's question.  This week's question comes from Chris. Chris asks, Hi Carl, I haven't heard you talk much about AI in your videos or articles. How do you see AI helping us with our time management and productivity in the future?  Hi Chris, thank you for your question.  The reason I have not written or spoken much about AI is that I am waiting to see where it settles down.  Currently, it's hard to work out what is true and what is pure hype. I saw a lot of noise about OpenClaw—an AI-type personal assistant that, if you give it access to your computer, can do a lot of things, such as make appointments for you, book flights, sort and reply to your emails and much more.  That was certainly interesting, but once I discovered that I would need to hand over all my passwords and credit card numbers to OpenClaw, I lost interest.  Call me old-fashioned, but I'm not comfortable giving up my passwords, credit card and banking details to a third party. Certainly not one that could be hacked very easily.  Last year, I read Dominic Sandbrook's series of books on British history from 1956 to 1982. That period covered some very interesting developments in technology, from the dawn of the nuclear power age to the introduction of the personal computer. In the late 1950s, it was predicted that we would all be driving around in nuclear-powered cars and that our homes would have their own nuclear power generators that would only need recharging every 10 to 20 years by the end of the century. Hmm how did that work out?  To better answer your question, Chris, I stepped back and looked at how I am using AI today. My main use of AI is searching for specific information. In a way, AI has replaced how I search the internet. I use Google's Gemini, and it is fantastic at collecting the information I want.  No longer do I have to open multiple websites to try to find the information. This has significantly reduced the time I spend going down rabbit holes looking for something specific and being pulled down holes I never intended to go.  I also use AI to generate subtitles and timestamps for my YouTube videos. Without AI, these jobs would take hours. AI can do it in minutes.  I use Grammarly to spell-check my writing, and I believe it uses AI in the background to suggest how sentences are written.  I rarely accept Grammarly's sentence suggestions. It seems to destroy my voice and turn sentences into bland perfections that lack resonance or feeling.  Beyond that, I am not knowingly using AI for anything else. I asked my wife how she is using it. My wife's a full-time student, studying physical therapy, so she's learning a lot about human anatomy and medical terms.  She's using AI to simplify complex concepts. She also occasionally uses Google's Nano Banana to generate graphics for her presentations.  So, if I look at how AI might help us with time management and productivity in the future, it does look like there will be some aspects of our work that AI can significantly speed up. In my case, generating subtitles and time stamps for videos is a great example.  However, when it comes to managing our calendars and task lists, I'm not sure you would want AI getting involved.  One thing I've always been acutely aware of is that much of what makes us feel overwhelmed is the sense that we have no control over how we spend our time.  We have calendars full of meetings, and sometimes we find ourselves double and even triple-booked. And then we have long lists of to-dos in our task managers with no sense of when or even how we will ever get that work done.  At best, AI may be able to break down those tasks into what it thinks are manageable chunks, but that won't take into consideration how you are feeling physically, whether you slept well last night or had a rather heavy lunch with an important customer.  AI can certainly suggest ways to manage your tasks and calendar, but you will still need to show up to those meetings and do that work.  Yet that will inevitably leave you feeling less in control of your time. Particularly if you use one of those AI-enabled calendars that suggest when you should be doing something.  What happens if you disagree with the suggestion, or you cannot make it? You feel guilty, or you start to think something is wrong with you.  Yet, there's nothing wrong with you. You're human, and you are going to feel tired sometimes or not in the mood to do that type of work.  The one area I would say you want to avoid AI getting involved in is how you manage your time. That should always be your responsibility and choice.  The idea that a computer tells you what to do and where to be is scary. Deciding what you do right now is what makes you human. You've chosen to listen to this podcast at this time. AI would likely tell you that, rather than listening to this podcast, you should be finishing that report you've been trying to finish all week. I also read about the excitement over the idea that AI could reply to your emails for you. Hmm, for me, that is a red line I will not cross.  Call me old-fashioned, but I believe that if someone has taken the time to write to me, I have an obligation to reply personally. That is just basic integrity. Now, it is true I don't reply to all emails. I don't respond to spam emails; for example, I simply delete them if they get through. How hard is that?  I'm fortunate that I'm old enough to remember several technological advancements. It started with the Internet, then email, the smartphone and cloud computing.  I cannot remember a technology being forced upon us, but it feels like AI is being forced on us, whether we like it or not.  And then there are the frightening ads that claim if you are not on board with using AI, you will be left on the career scrap heap by the end of the year. Nobody needed to do that with smartphones or email.  Companies, focused on making the technology user-friendly in such a way that we all wanted to adopt it eventually. The fear-mongering I see around AI makes me deeply suspicious of it. Why do they need to do that?  Perhaps that question is for people better qualified than I am.  Anyway, AI is here, and it's not going to go away.  Where I think AI will be a huge help to us is in repetitive, mundane work. I mentioned that I use AI to create subtitles and timestamps for my YouTube videos. That's been a huge time saver for me.  But if you follow my email processing system, you will find that you are faster than AI. I can clear 80 emails in my inbox in less than 10 minutes. It's also important that I do this, as I want to get a heads-up on my day. To know if there are any emergencies, what I want to read later and what I can delete.  What AI would do is categorise your emails between what it thinks is important and what is not. Trust me, you will do a far better Job of that than AI will.  The problem here is that you will not trust AI 100%, so you will still go through the emails it thinks are not important, just to check that it got it right.  And that's a big problem with AI today, although I accept that in time this may change; people don't trust it, which is a good thing, as AI can hallucinate and give you incorrect information. This means you spend time coming up with the right prompt, get the answer, and then have to check that it's correct.  The question then is: did it really save you time?  I am monitoring AI carefully. I know that in time, it will bring us some productivity benefits, new technologies always do. But there are a few areas where I won't use AI personally.  Writing emails and answering user comments. That's a personal integrity thing to me. Your principles should tell you that.  Managing my calendar. That's another personal thing, and giving control to any outside influence would always be problematic at a human level.  Creating content. If you've read an AI-generated blog post or watched an AI-created YouTube video, you can tell. Large Language Models will always default to the average, not just in the content, but in the words used. It's horrible, and nothing unique will ever come from it.  And finally, deciding what I will do at a task level and when. That's another one that, as a human, I will retain control. I had scheduled to write this podcast script at 11:30 today, but I had a cancellation at 8:00 am, so I switched things around.  I could have gone back to bed, but I felt great, so I decided to get on with this podcast script. My choice, made in the moment.  Thank you, Chris, for your question and thank you to you, too, for listening. It just remains for me now to wish you all a very, very productive week.   

In this episode I provide an astrological analysis of the war that began between the US, Israel, and Iran on February 28, 2026, and discuss how these current alignments may be signaling the beginning of a much larger conflict. I look at the striking historical recurrences that culminated in this week's events, including the recent Saturn-Neptune conjunction, which perfectly echoes the 1953 US-backed coup and the 1989 death of Iran's Supreme Leader, and the exact Mars-Uranus square that triggered the initial strikes. I also explore the extraordinary fact that all three of three major leaders involved were all born on the exact day of an eclipse. From there, I trace the precise six-month escalation of this conflict through the eclipse seasons dating back to October 2023, demonstrating how eclipses have mirrored the buildup to this war almost every step of the way. Finally, we look ahead to the looming ingress of Uranus into Gemini in late April, a transit historically correlated with the United States entering its most defining wars (the Revolutionary War, the Civil War, and WWII), and discuss why the pieces are now in place for this to escalate into a larger global conflict. Timestamps 00:00:00 Introduction00:00:48 Long-Term Historical Recurrences00:06:41 The Eclipse Factor: The Leaders00:10:48 The 6-Month Eclipse Escalation Timeline00:23:02 Eclipses & The Fall of Leaders00:27:05 Looking Ahead00:36:34 Conclusion00:40:20 Credits Watch the Video Version of This Episode https://www.youtube.com/watch?v=gZl7KdUbC9M - Listen to the Audio Version of This Episode Listen to the audio version of this episode or download it as an MP3:

In this week's News Roundup, Bridget and Producer Mike cover the tech news stories you might have missed. Hallow app beef update. Meta sued over false privacy promises about it's glasses. Gee, what a shocker. https://www.bbc.com/news/articles/c0q33nvj0qpo Google sued for wrongful death after a vulnerable user died by suicide after talking with its chatbot Gemini. https://techcrunch.com/2026/03/04/father-sues-google-claiming-gemini-chatbot-drove-son-into-fatal-delusion/ Brothel workers unite! Workers push back against a contract trying to claim rights to their image. Consider donating to them if you can! https://unitedbrothelworkers.org/ Advocates in the UK have been fighting nonconsensual image-based abuse, and winning. A new law makes the gross category of "semen-images" illegal. It's basically what you think. https://www.glamourmagazine.co.uk/article/semen-images-illegal-investigation and for context https://www.glamourmagazine.co.uk/article/glamour-campaign-10-downing-street A powerful piece by Kwaneta Harris & Leigh Goodmark describes the ways True Crime media exploits incarcerated women and makes them vulnerable to predation by creeps. https://truthout.org/articles/incarcerated-women-featured-in-true-crime-media-face-flood-of-sexual-harassment/ A new global poll finds that Gen-Z men are twice as likely as their Baby Boomer grandfathers to hold misogynistic views of gender roles. https://www.nbcnews.com/politics/politics-news/poll-gen-zs-gender-divide-reaches-politics-views-marriage-children-suc-rcna229255 [FUNNY] Pressing 2 for Spanish in the phone system of a Washington State agency leads to unexpected results. https://apnews.com/article/washington-dol-spanish-accent-ai-3a1b8438a5674c07242a8d48c057d5a3# Let us know what you think about these stories by emailing hello@tangoti.com or leaving a comment on Spotify! Pre-order our forthcoming audiobook about AI and intimate relationships at LoveAtFirstPrompt.com ! Follow Bridget and TANGOTI on social media! || instagram.com/bridgetmarieindc/ || tiktok.com/@bridgetmarieindc || youtube.com/@ThereAreNoGirlsOnTheInternet || bsky.app/profile/tangoti.bsky.socialSee omnystudio.com/listener for privacy information.

The tale of Jason and the Argonauts is one of the biggest and boldest stories in Greek mythology. And it involves some of the greatest heroes, many of whom are depicted in the stars – from the twins of Gemini to mighty Hercules. The boat itself was placed in the stars as well. But even it was too big. Astronomers eventually split it apart. The original constellation was Argo Navis. It was first drawn almost 3,000 years ago. It was far larger than any of the other ancient western constellations. And for a long time, that was just fine. But as astronomers began studying the stars with telescopes, the Argo was just too big – there were too many stars and other objects within its borders to catalog. In 1756, French astronomer Nicolas Louis de Lacaille decided to do something about it. He split the Argo apart. He kept the references to the boat, though. So his new constellations were Carina, the keel; Vela, the sail; and Puppis, the poop deck – the deck at the back of the boat. And those constellations are still in use today. Carina is best known for its brightest star, Canopus. It’s the second-brightest star in the night sky. And from the southern latitudes of the United States, it crawls low across the south in early evening at this time of year. As night falls, it’s just above the horizon, almost directly below Sirius, the brightest nighttime star. We’ll have more about Canopus tomorrow. Script by Damond Benningfield

What happens when AI companies, the U.S. government, and national security collide in public… on social media?In this Weekend News episode, Isar Meitis breaks down one of the most dramatic developments in the AI industry so far: the escalating conflict between Anthropic, OpenAI, and the U.S. Department of War. What began as a disagreement over AI guardrails quickly turned into a public showdown involving government ultimatums, billion-dollar contracts, and a massive shift in public opinion across the AI ecosystem.The situation reveals a deeper question that every business leader should be thinking about: who ultimately controls powerful AI systems — the companies that build them, or the governments that rely on them?In this episode, Isar walks through the full timeline of events, analyzes the implications for the future of AI and geopolitics, and shares what this could mean for businesses navigating the rapidly evolving AI landscape.In this session, you'll discover:What triggered the standoff between Anthropic and the U.S. Department of WarWhy AI guardrails around surveillance and autonomous weapons became the breaking pointHow OpenAI stepped in with a Pentagon deal — and why it sparked backlashThe impact on public trust, app downloads, and market perceptionWhat this conflict means for the AI race between the U.S. and ChinaWhy the government labeling Anthropic a “supply chain risk” could reshape the tech ecosystemThe broader implications for companies doing business with governmentsKey AI model releases including GPT-5.4, Gemini 3.1 Flashlight, and Perplexity ComputerWhy AI agents, computer-use models, and coding automation are acceleratingHow new research shows AI study tools improving learning outcomes for studentsAbout 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!

Config OpenDNS on my System, Should I turn off the BIOS updates? My Dell keeps getting stuck at 0%, Datacenter energy costs pledge, AI caused a man to kill himself, I think I love Gemini, New MS Edge feature is VPNish, Laplink software still exists!

Checkout Hostinger: https://www.hostinger.com/in/figuringoutaiFIGURINGOUTAI - 20% off on 12 month and above plans. Valid until: 31st March 2026.Applicable on VPS and shared hosting as well.Figuring Out AI Community: ⁠https://figuringoutai.co/⁠Guest Suggestion Form: ⁠⁠⁠⁠⁠https://forms.gle/bnaeY3FpoFU9ZjA47⁠⁠⁠⁠⁠Disclaimer: This video is intended solely for educational purposes and opinions shared by the guest are his personal views. We do not intent to defame or harm any person/ brand/ product/ country/ profession mentioned in the video. Our goal is to provide information to help audience make informed choices. The media used in this video are solely for informational purposes and belongs to their respective owners.Order 'Build, Don't Talk' (in English) here: ⁠⁠⁠⁠⁠https://amzn.eu/d/eCfijRu⁠⁠⁠⁠⁠Order 'Build Don't Talk' (in Hindi) here: ⁠⁠⁠⁠⁠https://amzn.eu/d/4wZISO0⁠⁠⁠⁠⁠Follow Our Whatsapp Channel: ⁠⁠⁠⁠⁠https://www.whatsapp.com/channel/0029VaokF5x0bIdi3Qn9ef2J⁠⁠⁠⁠⁠Subscribe To Our Other YouTube Channels:-⁠⁠⁠⁠⁠https://www.youtube.com/@rajshamaniclips⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RajShamani.Shorts⁠⁠⁠⁠⁠

Discover why Berkshire Hathaway approved a stock buyback. Are you on track for financial freedom...or not? Financial freedom is a combination of money, compounding and time (my McT Formula). How well you invest can make the biggest difference to your financial freedom and lifestyle. If you invested well for the long-term, what a difference it would make because the difference between investing $100k and earning 5 percent or 10 percent on your money over 30 years, is the difference between it growing to $432,194 or $1,744,940, an increase of over $1.3 million dollars. Your compounding rate, and how well you invest, matters!  INVESTING IS WHAT THE BE WEALTHY & SMART VIP EXPERIENCE IS ALL ABOUT - Invest in digital assets and stock ETFs for potential high compounding rates - Receive an Asset Allocation model with ticker symbols and what % to invest -Monthly LIVE investment webinars with Linda 10 months per year, with Q & A -Private VIP Facebook group with daily community interaction -Weekly investment commentary -Extra educational wealth classes available -Pay once, have lifetime access! NO recurring membership fees. -US and foreign investors are welcome -No minimum $ amount to invest -Tech Team available for digital assets (for hire per hour) For a limited time, enjoy a 50% savings on my private investing group, the Be Wealthy & Smart VIP Experience. Pay once and enjoy lifetime access without any recurring fees. Enter "SAVE50" to save 50%here: http://tinyurl.com/InvestingVIP Or set up a complimentary conversation to answer your questions about the Be Wealthy & Smart VIP Experience. Request an appointment to talk with Linda here: https://tinyurl.com/TalkWithLinda (yes, you talk to Linda!). SUBSCRIBE TO BE WEALTHY & SMART Click Here to Subscribe Via iTunes Click Here to Subscribe Via Stitcher on an Android Device Click Here to Subscribe Via RSS Feed LINDA'S WEALTH BOOKS 1. Get my book, "3 Steps to Quantum Wealth: The Wealth Heiress' Guide to Financial Freedom by Investing in Cryptocurrencies". 2. Get my book, "You're Already a Wealth Heiress, Now Think and Act Like One: 6 Practical Steps to Make It a Reality Now!" Men love it too! After all, you are Wealth Heirs. :) International buyers (if you live outside of the US) get my book here. WANT MORE FROM LINDA? Check out her programs. Join her on Instagram. WEALTH LIBRARY OF PODCASTS Listen to the full wealth library of podcasts from the beginning.  SPECIAL DEALS #Ad Apply for a Gemini credit card and get FREE XRP back (or any crypto you choose) when you use the card. Charge $3000 in first 90 days and earn $200 in crypto rewards when you use this link to apply and are approved: https://tinyurl.com/geminixrp This is a credit card, NOT a debit card. There are great rewards. Set your choice to EARN FREE XRP! #Ad Protect yourself online with a Virtual Private Network (VPN). Get 3 MONTHS FREE when you sign up for a NORD VPN plan here.  #Ad To safely and securely store crypto, I recommend using a Tangem wallet. Get a 10% discount when you purchase here. #Ad If you are looking to simplify your crypto tax reporting, use Koinly. It is highly recommended and so easy for tax reporting. You can save $20, click here. Be Wealthy & Smart,™ is a personal finance show with self-made millionaire Linda P. Jones, America's Wealth Mentor.™ Learn simple steps that make a big difference to your financial freedom.  (This post contains affiliate links. If you click on a link and make a purchase, I may receive a commission. There is no additional cost to you.)  

https://teachhoops.com/ In the modern era of constant digital stimulation, a player's attention span is often their most underdeveloped skill. On the basketball court, "Focus" isn't a static state; it is a dynamic ability to filter out "noise"—the crowd, the scoreboard, the previous mistake—and zero in on the "next right thing." This is often referred to as the "Quiet Eye" phenomenon. Elite shooters and decision-makers have a measurable pause in their visual focus on a target (the rim or a teammate's chest) just before they execute a move. To build this in your program, you must move beyond generic "focus" commands and provide specific "Visual Anchors" for your athletes to lock onto during high-pressure moments. To bridge the gap between "practice focus" and "game focus," you must implement "Cognitive Load Drills." Most practices are too quiet and too predictable. To train attention, you must intentionally "clutter" the environment. Use "Distraction Drills" where coaches or teammates create noise, wave pool noodles, or shout "wrong" instructions while a player is trying to execute a specific set or shooting drill. This forces the athlete to develop an "Internal Filter." In the mid-season February grind, when mental fatigue sets in, the teams that have trained their "Focus Stamina" are the ones who can execute a "Late-Game Special" without a breakdown, regardless of the environment. Finally, you must teach your players the "Art of the Reset." Attention naturally drifts—especially after a turnover or a missed call. The difference between a "collapse" and a "recovery" is a player's "Reset Routine." This could be a physical "trigger" (like touching their jersey) or a verbal "keyword" (like "Next Play") that signals the brain to return to the present moment. Utilize your TeachHoops member calls to audit your practice "vibe": are you allowing players to linger on mistakes, or are you building a culture of "Relentless Presence"? By treating focus as a "mental muscle" that requires daily resistance training, you develop a team that is unshakeable when the lights are the brightest. Basketball focus, sports psychology, attention in sports, mental toughness, Quiet Eye basketball, coach development, team culture, basketball IQ, player development, high school basketball, youth basketball, mental performance, coaching philosophy, distraction training, focus stamina, next play mentality, basketball strategy, athletic leadership, coach unplugged, teach hoops, basketball success, performance poise, cognitive load in sports. SEO Keywords Learn more about your ad choices. Visit podcastchoices.com/adchoices

Join us on the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80Join Simtheory: https://simtheory.ai

Fri, 06 Mar 2026 16:00:00 GMT http://relay.fm/material/557 http://relay.fm/material/557 Andy Ihnatko and Florence Ion Google employees plead with executives to place limits on the military's use of AI. Gemini faces its first major lawsuit. Google and Epic Games finally settled on something. And Android gets an integrated desktop mode. Google employees plead with executives to place limits on the military's use of AI. Gemini faces its first major lawsuit. Google and Epic Games finally settled on something. And Android gets an integrated desktop mode. clean 3849 Google employees plead with executives to place limits on the military's use of AI. Gemini faces its first major lawsuit. Google and Epic Games finally settled on something. And Android gets an integrated desktop mode. Links and Show Notes: We Will Not Be Divided Google employees call for military limits on AI amid Iran strikes, Anthropic fallout Google Workers Seek ‘Red Lines' on Military AI, Echoing Anthropic Google faces lawsuit after Gemini chatbot allegedly instructed man to kill himself Android Developers Blog: A new era for choice and openness Google and Epic announce settlement to end app store antitrust case Your Pixel phone can now become a full Android PC via USB-C

The U.S. Senate rejects a resolution requiring congressional approval for continued military action in Iran, Israel issues evacuation orders for Beirut's southern suburbs, Trump replaces Homeland Security Chief Kristi Noem, Nepalis vote in the first parliamentary election since Gen Z protests overturned the government, China sets its lowest growth target since 1991 at 4.5-5%, The U.K. offers failed asylum seekers £40,000 to leave voluntarily, Trump and Bondi are sued over the administration's TikTok deal, A study suggests that global sea levels have been underestimated, A lawsuit alleges that Google's Gemini was responsible for a man's suicide, and Hall of Fame Coach Lou Holtz dies at 89. Sources: Verity.News

Luis y Albert se sientan a hablar de cómo están usando la inteligencia artificial en su día a día como media buyers en 2026.Nada de teorías: herramientas concretas, workflows que ya aplican con clientes y una comparativa honesta de qué IA merece tu dinero y cuál no.En este episodio aprenderás:

James Woods is an actor and musician. His latest album, Tombstone Opera, is available now. Follow him on Instagram and X @realjameswoods and visit jameswoods.com for more.IN THE NEWS: Sen. John Fetterman is breaking with many in his own party, praising President Trump's strikes on Iran as a “historic” success and saying he's baffled more Democrats don't see it the same way. Tampa International Airport, meanwhile, set off a social media firestorm after joking on X about “banning pajamas” at the airport, sparking a heated debate over travel dress codes before officials clarified it was tongue‑in‑cheek. And in a chilling tech story, a new lawsuit claims Google's Gemini chatbot, which a Florida man treated as his “AI wife,” encouraged him to plot a “catastrophic” truck bombing at Miami's main airport and ultimately drove him toward his own demise.FOR MORE WITH JAMES WOODS:INSTAGRAM and X: @realjameswoodsWEBSITE: jameswoods.comALBUM: Tombstone OperaFOR MORE WITH ANDREW HOBSON:DATES: BAD COMPANY at the GROUNDLINGS in HOLLYWOOD - all improv last MONDAY of EVERY MONTH at 8 PM INSTAGRAM: @andrewfhobsonLIVE SHOWS: March 22 - Santa Ana, CA (Live Podcast)March 27 - Norfolk, NE (2 shows)March 28 - Norfork, NE (2 shows)Thank you for supporting our sponsors:factormeals.com/acs50off and use code acs50offLimited Time Offer – Get Huel today with my exclusive offer of 15% OFF online with my code [ADAM15] at huel.com/[ADAM15]. New Customers Only. Thank you to Huel for partnering and supporting our show!ForThePeople.Com/ADAMoreillyauto.com/adampluto.tvRosettastone.com/ADAMSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Everyone's chasing the next big model drop.

General market marketing is limiting your brand growth. Here's what the data actually shows—and what smart brands are doing instead. Myles Worthington (CEO, WORTHI; former Netflix Head of Global Audiences) breaks down why identity-based customer segmentation drives better conversion rates and sustainable growth than traditional mass marketing approaches. In this growth marketing strategy session, discover: The mosaic vs. melting pot framework: why preserving customer identity increases market reach How to build marketing infrastructure (not one-off campaigns) for customer loyalty Real examples: Netflix's Con Todo, Bumble's Love Letters to Black Women, Google's Gemini strategy Why $7 trillion in buying power goes untapped with general market strategies The authenticity equation: customer intimacy + cultural fluency = brand growth If you're a CMO or growth marketer looking to improve customer acquisition and conversion rate optimization through better customer segmentation—this episode delivers the playbook. What's slowing your brand's growth? Take the quiz: www.frictionlessgrowthlab.com/quiz Find Myles: worthi.com Myles on LinkedIn: https://www.linkedin.com/in/mylestw/

https://teachhoops.com/ The secret to an efficient practice isn't working faster; it's eliminating "dead time." Most practices lose 15–20 minutes to "coach-speak," long lines, and slow transitions between drills. To combat this, adopt the "Whistle-to-Whistle" mentality. Every segment should have a pre-determined start time and a countdown clock. Use "Transition Sprints"—where players have 7 seconds to get to their next station—to keep the heart rate elevated. By scripting your practice in 6- to 8-minute blocks, you force yourself to be concise with instruction and your players to stay mentally sharp. Remember, the goal is "Rep Density": the number of game-like touches an athlete gets per minute of practice. The second pillar of efficiency is the "Station-Based" approach to fundamentals. Instead of having 12 players standing in one line for a layup drill, break them into three groups of four at different baskets. This triples the number of repetitions each player receives in the same amount of time. During these stations, utilize "Multi-Skill Drills"—exercises that combine two or more skills, such as a close-out into a box-out, or a ball-handling move into a finishing move. When you "stack" skills, you aren't just practicing ball-handling; you are building the "functional athleticism" required to execute that handle under defensive pressure. Finally, utilize "Visual Learning" and "Pre-Practice Briefings" to save time on the court. Send your practice plan or a short 2-minute film clip of a new play to your players via group chat before they arrive at the gym. This allows you to spend your precious hardwood time "refining" rather than "installing." When players step on the floor already knowing the "what" and the "where," you can immediately jump into the "how" at game-speed. In the mid-season grind, this proactive communication is what separates the programs that plateau from the programs that peak. Basketball practice efficiency, coaching time management, rep density, basketball practice planning, high school basketball, youth basketball, basketball drills, multi-skill training, station-based coaching, basketball IQ, coach development, team culture, practice organization, basketball conditioning, offensive efficiency, coach unplugged, teach hoops, basketball success, athletic leadership, basketball training, transition drills, player development. SEO Keywords Learn more about your ad choices. Visit podcastchoices.com/adchoices

See if you qualify for our 100% Done-For-You YouTube service: https://go.healthpreneurtraining.com/youtube?el=growpractice-youtubeIf you're growing your practice on referrals alone, you're one dry spell away from struggling.The #1 way to grow a private practice in 2026 has nothing to do with networking, Google ads, or Instagram.It's YouTube. And most practitioners are completely ignoring it.I've been building health businesses online for 20 years. My first was built on a 300,000-subscriber YouTube channel. It helped half a million people, led to a NYT bestselling book, and put me on The Doctors and Dr. Oz. As CEO of Healthpreneur, I've helped thousands of practitioners scale to 6, 7, and 8 figures. Here's why I'd go all-in on YouTube if I were starting a practice today.⏱️ Timestamps:00:00 The #1 way to grow your private practice in 202600:37 Why referral-dependent practices become the best-kept secret00:57 The trust recession: why patients don't know who to trust01:40 Reason #1: How YouTube builds trust faster than any other platform02:43 YouTube vs. Instagram/TikTok: 40-minute sessions vs. 15 seconds05:11 The best expert doesn't win. The best known expert does.06:56 Reason #2: YouTube users have the highest household income of any platform07:50 The stats: 87% of US YouTube users earn $70K to $100K per year09:03 Reason #3: The YouTube Health Source Certification advantage10:47 How the certification gives licensed practitioners priority in search12:41 Why Google AI and Gemini reference YouTube as the #1 health source14:23 How YouTube videos compound into a 24/7 patient acquisition flywheel❓ QUESTIONS ANSWEREDQ: How do I grow my private practice without relying on referrals?A: Build a YouTube channel around the conditions you treat. Patients searching for those problems will find you and trust you before they ever reach out. (01:40)Q: Why is YouTube better than Instagram or TikTok for a health practice?A: YouTube sessions average 40 minutes vs. 15 seconds on TikTok. No one chooses a practitioner from a short reel, but they will after watching several of your videos. (02:43)Q: What is the YouTube Health Source Certification for practitioners?A: Licensed practitioners who reach 1,500 watch hours can apply for a verified badge. It gives their content priority over unqualified influencers in health searches. (09:03)Q: Are YouTube users actually good prospects for a health practice?A: Yes. 87% of US YouTube users earn $70K to $100K per year and 89% hold a college degree. It's the most educated, highest-income audience on any social platform. (07:50)Q: How long does it take for YouTube to start bringing in patients?A: It builds like an asset. Early videos get little traction, but over time they create a 24/7 flywheel of patients finding and trusting you. (14:23)

Who dares to make predictions in the current landscape? We do!  Our Predictions are back. Will our track-record continue on a high or will we be fundamentally wrong? Listen in to our Predictions for 2026 Navigation: Intro What will 2026 be all about? AI, AI and … more AI The big Hardware movements Of Start-ups and VCs Regulatory & Geopolitical Headwinds… and the Wars Fintech, Crypto and Frontier Tech Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show:   Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Bertrand Schmitt Introduction Welcome to Tech Deciphered Episode 74. That would be an episode about some predictions about 2026. What will be 2026 all about? I guess this year is probably starting with a bang. We saw the acquisition of xAI by SpaceX. We saw an acquisition from Grok by NVIDIA. What’s your take about what would be the big themes in 2026? I guess it would be for sure about AI and space. Nuno Goncalves Pedro What will 2026 be all about? Yeah. I predict a year that will be a little bit more of a year of reckoning in some way. There will be a lot of things that I think we’ll start seeing through. The fact that we are in the midst of an amazing transformational era for technology, the use of AI, but at the same time, obviously, a ridiculous bubble that is going alongside it as we’ve discussed in previous episodes. I think that we’ll start seeing some early reckonings of that, companies that might start failing, floundering, maybe a couple of frauds along the way, etc. I’ll tell you what I will not make many predictions about today, which is geopolitics. Geopolitics, I will not make predictions at all. Who the hell knows what’s going to happen to the world this year in 2026? I don’t dare making any predictions on that. Back to things where I would make predictions. I think on AI, we’ll have a little bit of reckoning. We’ll talk about it a little bit more in detail during this episode. Interesting elements around the hardware and physical space. Physical space, we just dedicated a full episode to it. We won’t go into a lot of details on that, but definitely on the hardware side, we’ll talk a little bit more about it. The VC landscape is going through an incredible transformation. We’ll talk about it today as well and some of our predictions for this year. What will happen to the asset class? It seems to be transforming itself dramatically. Obviously, that has a very direct impact on startups, so we’ll talk about that as well. And then to close a little bit the chapter on this, we will address some regulatory and geopolitical, let’s call it, headwinds without making maybe too many complex predictions. We shall see. Maybe by that time of the episode, we will be making some predictions. You guys should stay and listen to us, and maybe we will actually make some predictions about the geopolitical transformations that we will see this year in the world. Then last but not the least, we’ll talk about fintech, crypto, frontier tech, and a couple of other areas before concluding the episode. A classic predictions’ episode. We normally have a pretty good track record on some of these, but right now, the world is going a bit interesting, not to say insane. Bertrand Schmitt Yes, and going back to some news, Groq technically was not acquired, but, practically, it’s as if it got acquired. I’m talking about Groq, G-R-O-Q. The AI semiconductor company focused on inference AI, and it was late December. It was a way to end the year. This year, we started again with an acquisition of xAI by its sister company, SpaceX. I guess that’s where we are starting. AI, AI and … more AI We are going to start on AI. That’s definitely the big stuff. Everything these days, I guess, is about AI or has to have some connection with AI, or it doesn’t matter. I think every company in the world has seen that. You have to have the absolute minimum on AI strategy. You better execute on this strategy and show results, I would say. For the companies that were not AI native, you truly have to have a way to transform yourself. I guess at some point, the stretch might be too much, and it’s not really reasonable. Then you maybe better stay on what you are doing, especially if you’re in tech, you better be moving faster to AI. Nuno Goncalves Pedro Just to highlight, and I think throughout the episode, you’ll see that there’re obviously a lot of implications that would manifest themselves into capital markets. I mean, we’ll specifically talk about VCs and startups later on. But the fact that everything needs to be AI, the fact that there’s so much innovation happening right now, in my opinion, and this is maybe the first pre-topic to AI, is we’ll see a tremendous increase in M&A activity this year across the board. I mean, we’ve seen already some big acquihires we mentioned in some of our previous episodes, but we’ll see a lot more activity on M&A this year. Normally, that’s a precursor to the opening of capital markets. I predict also that there will be a reopening of the IPO market that never really reopened last year, to be honest. M&A, a lot more, reopening of the IPO market. Normally, it happens in the second or third quarter of the year. That’s what my M&A friends tell me. First quarter of year, everyone’s figuring out stuff. Then last quarter of the year, things should be more or less closed. Maybe the third quarter is the big quarter. We shall see. But definitely, as a precursor to our conversation today, I think we’ll see a lot of M&A, and we’ll see reopening of the IPO mark. Bertrand Schmitt I guess last year was not as big as you could expect on M&A given the tariff situation announced in April and May. I mean, it became quite tough to do IPO in such market conditions. Definitely, we can hope for something dramatically different in 2026. I guess talking about public markets and IPO, I guess the big one everyone is waiting for is SpaceX. SpaceX getting even more interesting with its xAI acquisition. Nuno Goncalves Pedro Do you think that because of the acquisition, it’s more likely that it will happen this year, or because of the acquisition, it’s less likely that it will happen this year? Bertrand Schmitt That’s a good question. My guess is the acquisition of xAI is all about xAI needing more financing and cheaper financing. This acquisition is a pathway to that. SpaceX being a much bigger company, a company that is also making much more revenues. I could bet that there is higher probability that, actually, SpaceX will go public in order to finance itself. At the same time, will it have enough time to prepare itself for the IPO given this acquisition just happened? Can they do that in 6 months? I mean, if anyone can do it, I guess it’s Elon Musk. It’s a strategy to present an even more attractive company with an even more interesting story, a story of vertical integration from AI to space. I guess the story as it’s presented itself right now, it’s one about having your AI data centers in space. Because in space, you have much better solar energy production with solar panels. You have a perfect cooling situation because you are in space. Thanks to Starlink, you have the mean to communicate between the satellites and with Earth itself. I think if someone can pull up a story like AI data center in space, I guess Elon Musk can. There is, of course, a lot of questions about is it practical? Is it economical? Yes. I certainly agree. I’m not clear on the mass, and can you make it work? Again, I mean, Elon Musk single-handedly, with SpaceX, managed to transform the space market on its head. I mean, they are the biggest satellite launching company in the world. They have the most satellites in the world. I mean, I’m not sure I would bet against him, and I guess I would probably believe that he could pull up something. Time frames, different story. The 2-3 years data center in space for AI as cheap as on Earth, I have more trouble with that one. I mean, it’s a usual suspect with Elon Musk. You promise something unachievable in a few years, but, ultimately, you still manage to reach it in 5 or 10. Again, I would not bet against the strategy. Nuno Goncalves Pedro Yeah. I’ve talked to a couple of space experts, people that have launched rockets, and have worked JPL, NASA, and a couple of other places, etc. For what it’s worth, their feedback is, “No way in hell, and we’re decades away.” We’ll see. I mean, to your point, Elon has pulled very dramatic stuff. Not as fast as he normally says he’s going to pull it, but within a time span that we all see it. Difficult to bet against him. In terms of actually the prediction, maybe to respond to the prediction as well, will SpaceX IPO? I’m going to make a prediction that has a very high likelihood of missing the mark, but I think Tesla’s going to buy and merge them both into it. It’s going to become a public company through Tesla. That’s my hypothesis. Bertrand Schmitt No. That’s supposed to be it. That’s how you solve that. Nuno Goncalves Pedro And Elon controls the whole universe. X, xAI, Tesla, SpaceX, all under one umbrella beautifully run. And SolarCity is well in there, of course, so wonderful. Bertrand Schmitt That’s possible. Certainly, you are not the only one thinking Tesla will acquire or merge with SpaceX. To remind everyone, Tesla is around 1.3, 1.5 trillion market cap. Depending on the day, SpaceX seems to be valued at similar range, 1.2, 1.3 trillion. It looks like it’s the most valued private company at this stage. These are companies of similar size, so that’s one piece of the puzzle. When you think about the combined company, we could be talking about a 3 trillion entity. Playing right here with the biggest companies in the marketplace today. Nuno Goncalves Pedro With a couple of tweets from Elon, it will rapidly get to 4 to 5 trillion. Bertrand Schmitt That’s so tricky. Nuno Goncalves Pedro Yes. On AI and back to AI, one thing I think that we’re about to see is this will probably be the year of agentic AI. Obviously, we predict a lot of growth on that side of the fence, in particular on the enterprise B2B side. We see a lot of opportunities coming through. From our perspective, at least at Chamaeleon, we generally believe that there’s going to be a lot of movements on agentic AI. It’s also going to be probably the year of the first big fails of agentic AI that will be newsworthy. There will be some elements about that loop and how it gets closed that will happen. I think we might see some scandals already. We’re already seeing the social network of bots talking to bots. We will see other scandals going on this year even in the consumer space and in the bot to bot space, which we now can talk about or in the AI agent to AI agent space. My prediction is we will see some move forwards. There’ll be some dramatic funding rounds along the way. We’ll see a couple of really cool things out of the gates coming out that are really impressive, but we’ll also see the first big misses of the technology stack. I don’t think we’ll go fully mainstream yet this year, so it’s probably maybe something more for 2027 along the way. That would be my prediction again. I think enterprise will lead the way. We’ll definitely see a lot of stuff on consumer as well that is cool. Then we’ll all have our own personal assistance in our hands, basically, literally in our phones. Bertrand Schmitt Going back to agentic AI, we also started the year with some pretty dramatic move. I mean, the launch of Clawdbot, renamed OpenClaw. I mean, this stuff took fire in like a week or 2. It was coded by just one person who actually didn’t even code the product but used AI to build the product, 100% used AI, proposing some new ways also to leverage AI to do coding. He has a pretty unique approach. It’s not vibe coding. I would say it’s a better way to do that. Then the surprising evolution with the launch of a social network for AI agents, Moltbook. I mean, this stuff, probably there is some fake in it. But at the same time, I think it’s quite impressive because it’s the first time we see truly 100,000 plus agents communicating directly to each other. Yeah. I mean, that’s the first time we see surfacing the possibility of some sort of hive mind on the Internet. It’s pretty surprising. Right now, all of this is a hack done in a few days. By end of year, by 2 years, 3 years, we might discover that, actually, the best approach to AI might not be the AI assistant like we are doing today, but a combination of hundreds of thousands of AI working closely together. We might be witnessing the first sign of new intelligence in a way. Nuno Goncalves Pedro Things like this social network might either be Skynet, the beginning of Skynet. They might be the beginning of Her, or they might just be a fad and nothing really happens. It’s just interesting to see what these agents are doing. Bertrand Schmitt Totally. Nuno Goncalves Pedro Obviously, there are real and clear and present dangers of some of the integrations of AI we’re seeing in the market. Interesting enough, and I’ll ask you for your prediction a bit, Bertrand. I think we’ll probably see the first big mishap of AI being used in some infrastructural decision in the age of AI. I mean, we’ve seen AI issues in the past and software issues in the past. We talked in previous episodes about that as well. Mishaps of software that have led to people dying. But I think probably the first big mishap will happen this year as well. Very public mishap of the use of AI and serve its interactions with infrastructure or something that’s very platform related, etc, that will have big impact that everyone will notice. That’s my prediction for the year as well. We’ll have the first big oops moment, as I would call it, for AI in this new age of full on AI. Bertrand Schmitt I would say first some perspective. I think today, people are not using AI directly for life and death decision, at least not that I’m aware. We’re not going to let AI fly a plane, for instance, tomorrow so you can be, reassured. At the same time, given there is such a race to AI, there definitely might be some mistakes. We were talking about the social network for AI agents, Moltbook. Apparently, all the keys used to secure the AI were shared by mistake because it was not properly locked down. We can see that indirectly, mistakes will be made for sure. Two, it’s highly probable that some people will trust AI too much to do some stuff, and this stuff might not work and might have some grave consequence. Hopefully, there is not so much of this. Hopefully, it’s mostly AI used for the good. But you’re right. I mean, at some point, the more we use the technology, the more there would be issue. I mean, it’s highly probable. Nuno Goncalves Pedro That will lead me to another prediction, which is, and we’ll talk about more of it later, but it probably will lead to the first significant movement in terms of regulatory environment certainly in the US at some point if it happens in the US in particular, where there will be some movement that will be like, “Hey, you guys can’t do this anymore.” Because this will probably emerge from mismanaged interfaces. From systems having access to stuff that they shouldn’t have access to in the first place. Talking a little bit more about what’s happening in AI. You’ve already mentioned some of the issues that relate actually to security and cybersecurity. We keep talking about AI. We keep talking about all these infrastructure pieces and platforms that are being built. I think we’ll have a lot more incidents like the one you just mentioned where things will be shared that shouldn’t have been shared, where people will break systems and get into it, etc. Let’s see where that takes us, which is a little bit ironic because, obviously, with AI, the promise is that cybersecurity becomes more robust as well because there’re agents working on our behalf on the cybersecurity side. There’s also agents working on the other side. Bertrand Schmitt It’s a constant race. It’s the attackers, defenders. Each time you have new technology, you have a new race to who is going to attack or defend the best. Each new wave of technology, it’s an opportunity to challenge the status quo. Nuno Goncalves Pedro The attackers have been winning, and I feel they’ll continue winning in 2026. I think it’s going to still be a year of attack. We’ll see more and more breaches, more and more stuff that will happen. Bertrand Schmitt I don’t know if they will win. I mean, it’s normal that they win once in a while. For sure, some infrastructure is not updated as it should. Some stuff are not managed as it should, so there will always be breaches. I don’t know if things are dramatically going to change because, again, everyone who cares who is going to update his infrastructure with AI for defense. There is no question that you have no choice. We will see. That I don’t know. For sure, AI will be used to attack directly with AI. Maybe you’re able to do bigger, larger scale attack. Or thanks to AI, you are simply able to create new type of attacks more easily. AI can be used behind the scene as a way to prepare and organise new type of attacks, even if it’s not used directly live in the battle. Nuno Goncalves Pedro One topic that we’ll come back to later is the geopolitics of everything, but maybe more broadly. On the geopolitics of AI, it’s very clear that we have an arms race going on. Obviously, the US on the one hand, China on the other hand is the two extremes, putting tremendous amount of capital into data centers just at the base of that infrastructure. Chipset development, chipset access, a huge theme in terms of the export restrictions, etc, that are being forced by the US. I think it will continue. From a European standpoint, obviously, they’re stuck between a rock and a hard place, to be very honest. Let’s see what happens on that side of the fence. My view of the world is that certainly from a US and China perspective, we’re going to see a lot more movements in 2026, like big movements. The Chinese movements we always see in delay.  It takes us a couple of months, sometimes even more than that to understand exactly what’s going on. I think we’re going to see some huge moves this year in terms of the States, the United States of America, and China really pouring capital into the creation of the next big winners around AI. I think the US is obviously more visible. We see a lot of these companies. We’ve just discussed xAI and its acquisition by SpaceX or merger. I don’t know what they’re calling it exactly. Effectively, on the China side, the movements I think are already very big. As I said, it will take a while to figure out exactly what those moves are. One thing that I propose is that at some point, China will have very little dependency on chipsets from the US. I’m not sure it’s going to happen this year, but I think the writing is on the wall. Irrespective of any other geopolitical issues that is coming to the fore at this moment in time. That’s one of the key areas or in arenas of fight. Bertrand Schmitt It makes sense. If you are China, you will look at what happened. You would think that you cannot just depend on the largest of one country. It makes rational sense, the same way it makes rational sense for the US to limit exports to China because there is value to delay some peer pressure that could use these technologies for good but also for bad. If you were an ally of the US, that would be one thing. But when you are not an ally of the US, that certainly should be a different perspective. Maybe one last point concerning agents, I think there will be a lot that will revolve around coding. We can see OpenAI with Codex. We can see Cloud with code. There was, of course, [inaudible 00:18:28] that was trying to be big on agentic coding. I think agentic coding was one of the big transformation in 2025 and is going to get bigger in 2026. I think for a lot of people who do coding, there was a radical transformation in terms of what you can achieve, what you can do, how much you can trust AI to help you code. I start to think we might see this year, the replacement of not just one AI replace one coder, but one AI replace a full team because of the new ability to manage that at scale. Coding might be a common activity where you are going to think about outcomes, think about objective, think about how you organise, but not really coding by itself anymore. A big change, like you used to code, directly your hand on the stuff, but step by step, everyone is going to become a manager of agent. I think in one year, we saw enough transformation to think that in the coming year, the transformation can be even more dramatic. Nuno Goncalves Pedro The big Hardware movements Now switching gears to hardware. Obviously, a lot of movements in 2025 and over the last few years. One piece of thesis that we’ve had long-standing at Chamaeleon is that we will see the emergence of AI devices. Some of them have been tremendous failures as we discussed in the past. I predict that we’ll have a couple of really interesting full stack AI devices in the market this year. Why does that matter? Because, as many of you know, obviously, there’s compute that can happen in data centers and cloud infrastructure all over the world, but also there’s compute that can happen at the edges. The more you can move to the edges and the more you can create devices that actually allow you to have user experiences that are very distinctive at the edge, the more powerful some of these devices might become. I predict Apple will not be the first to launch anything on this. I predict probably OpenAI, after the acquisition of IO, will maybe not launch something this year, but will announce something this year. I’ll step back on that prediction. They’ll announce something this year, but maybe not launch. But we’ll start seeing some devices that have some interesting value in the market, probably devices that are AI devices, but they are very focused on very specific user flows, and so very much adequate to specific activities. I won’t make a prediction on that, but I think areas that would make sense for that to happen would be obviously around fitness, health, et cetera, et cetera, where we already have the ascendancy of products like Oura Ring and others out there. Definitely, that’s one area that might have quite a lot of developments. I think AI-first devices, devices that are very focused on compute at the edges, providing user flows that are AI-enabled to end users, we’ll see a lot more of that and a lot more activity this year. Again, I don’t think Apple will be necessarily ahead of the game. Again, maybe OpenAI will give us something to at least think about and look forward to. Bertrand Schmitt First, I’m not sure it will be that transformational because if it’s not in your phone, in your pocket, there is only so much you can do with it, and there is only so much computing power you will have. I’m doubtful it would be really impactful this year. Nuno Goncalves Pedro I feel we’ve been discussing this shift of paradigm in input and output. For me, some of these devices could lead to that shift. Because, again, a mobile phone is not a great long-term paradigm for the usage that we have because it’s really constrained by the screen. The screen is really what takes most of the battery life away. If we didn’t have that screen, what could we do? If we have the block that is as big as a mobile phone, and it didn’t have a screen, it was just compute, that’s a mini computer, a microcomputer. Bertrand Schmitt That’s a fair point, but I don’t see that transformation this year. That’s really more my point. I can see that you can have AI-enabled smart glasses, and it’s clear there is a race to AI-enabled smart glasses. My point is more to go beyond the gadget, it would take quite a while. It would need to have cameras. It would need to analyse what you see. It would need to hear what you hear. Again, it might come, but then at some point, it would be okay, what do you do with it? We have the example of the movie Her. That’s showing Her what it could be. There are definitely possibilities. It’s clear that if you take the big VR headset like the Apple Vision Pro, there is a failure from that perspective in the sense that I think it’s a great, amazing device. The big problem is that it’s doing way more that makes sense. I think there will be a clearer separation between your smart AR glasses that has to be light, that has to be always unconnected, and that’s primarily there to help you make sense of the world around you. The true VR headset that doesn’t really require much in terms of AI, and it’s just there to immerse you in a different world. For this, we know, unfortunately, in some ways, that there is not a lot of demand for it. Maybe there is little demand because you are too hidden in your own world. The technology is not working well enough yet. There are a lot of reasons. But I think Apple trying to do both at the same time, AR and VR, with the Vision Pro, was a pretty grave structural mistake. I think we would see a clearer line of separation between the two. There is bigger market opportunity for AR glasses. That, I certainly agree. There is opportunity to connect that to a computing device. As you talk about, your glasses are your screen, your phone becomes something in your pocket connected to your glasses. Nuno Goncalves Pedro For me, Apple has their way of doing things. From the perspective of what you said, they normally really plan their devices. Even if it’s a big shift in terms of a new area, like they tried with the Vision Pro, and we criticised them for launching it as a device that should have been more of a dev device that they really launched as a full-on device, but that’s their playbook, classically. I think Apple needs to change how they put products out and how they experiment with those products, et cetera. I think they have enough money to be doing everything all the time and figuring it out. If they don’t want to put it out, then they need to do a lot more hell of testing internally with their silos, but they should be playing across all these arenas, VR, AR, everything. They just should put devices out that are either ready for prime time, or they should call it something else. They should call it like this is a dev device or whatever it is. Bertrand Schmitt I agree with you. My complaint is more that it was marketed as a consumer device when it was not. It was a true developer device. Two, they tried to mix the two at once, and it made no sense. No one is going to walk in their home or in the street with their Vision Pro on their head. You have to be deranged, quite frankly, to have use cases like this. I think that for me is a crazy mistake from a company like Apple that prides itself in pure UI, pure user interface, very well-designed device for one specific use case, not mixing the two use cases. We still don’t have Macs with a touchscreen, you know?  We still don’t have an iPad with a good OS that makes use of this great hardware. For some strange reason, they decided to mix everything in the Vision Pro with a device that weighs a ton on your head and is so uncomfortable. That’s why, for me, I’m like, “Guys, what is wrong? Why did you let this team run crazy?” I hope at some point, Apple will go back to the drawing board. My understanding is that that’s what they are doing. They are going to have two devices, one smart glasses, an evolution of the Vision Pro, just focus on VR. They might actually abandon the concept of the pure VR-oriented headset. Because, from a market size perspective, it might not be big enough for Apple, quite frankly. Nuno Goncalves Pedro I read on all of the above, and people at this point was like, “Why are then players like Samsung and others not doing it. LG, et cetera?” Because those players historically have not invented new categories. They’re amazing at catching up once the category is invented, and then they scale the hell out of it, and that’s what these companies have been exceptional at. I wouldn’t see a dramatic innovation, I think, in terms of devices coming from any of the big ones on that side of the fence. Not to disrespect them in any way, but I think that’s not been their playbook ever. Again, if the origination doesn’t come from a start-up or from an Apple, I don’t see those guys going after it. My bet is that we’ll see some start-up activity and, again, hopefully, some announcement from IO now within the OpenAI world. Bertrand Schmitt I would slightly disagree with you. I see where you are coming from. But take the Samsung Galaxy Note, that sudden much bigger headphone that no one was doing that was launched by Samsung, at some point, it forced Apple to launch an iPhone Max. Let’s look at the Z Fold that Samsung launched 7 years ago, copied by everyone. Now Samsung launching a trifold. Apple has still not launched their foldable phone. I think there is a mix, actually, of sometimes- Nuno Goncalves Pedro For me, that’s not a proper new category. It’s still a mobile phone. It just happens to have a screen that folds in half. Bertrand Schmitt The iPhone was still a mobile phone, you could argue.  Nuno Goncalves Pedro No. I think the iPhone was…  I could actually agree with you on that point. Maybe Apple is not as innovative in that case. I think what Steve Jobs was exceptionally good at in terms of his ability as this master product manager was to be an exceptional curator of user flows and user experiences, and creating incredible experiences from devices based on that. That was his secret sauce. Could you say, “Wasn’t all of this stuff already around?” It was. You just put it all together very neatly and very nicely. But if you’re talking about significant shifts in how a category is done, the iPhone was a significant shift in how the category was done. The Fold is still an interesting device. I actually have a Fold right now in front of me. The 7 that you highly recommended to me that we both got, the Z Fold 7. I think they do amazing devices. I don’t think they normally are the most innovative players. Then, when they come to innovation, it comes from technology edges. Obviously, they have Samsung Display, there’s a bunch of other things. They had the ability to do foldable screens in-house themselves. Bertrand Schmitt I don’t disagree with you. I think there is an interesting situation where some companies have some strengths, another one has some strengths. My worry with Apple is that this was not demonstrated with the Vision Pro. The Vision Pro was a hot pot of technologies barely integrated together, with use cases absolutely not well-defined and certainly not something that makes sense for most of us. There is a question of has Apple lost it? While Samsung actually keeps doing their own stuff, that, yes, might be more minor improvements, but at least they are doing it. Because it looks like Apple is missing the train on even the minor improvements. By the way, you might not be aware, but Samsung launched its Vision Pro competitor. Interestingly enough, it might be a better product in some ways, being much lighter and much more comfortable. Nuno Goncalves Pedro We should play around with that and report back to our listeners. Of Start-ups and VCs Moving to venture capital and the startup ecosystem and what’s happening there, I think it is very much a bifurcated environment, and it’s bifurcated for both VCs and for startups. If you’re a startup in the AI space, and you have the hottest team since sliced bread, and you can create FOMO at the speed of light, you can raise ridiculous rounds. Five hundred million at the $3 billion, or $4 billion, or $5 billion valuation, and you still haven’t really even started. First round, you can raise 500 million. That’s back to the whole discussion on Bubble and where are we, et cetera. Some of these companies might actually become huge, some of them might not. But definitely, we are seeing really the haves and have-nots on the startup ecosystem with incredible teams raising a lot of money very, very early on or mid-stage if they’ve already existed for a while, and then the rest not being able to raise. We see a lot of non-necessarily AI sectors, some of the areas of SaaS that don’t necessarily have AI in it, or fintech, or the consumer space that are really, really struggling. If you don’t have an AI story for your startup right now, it’s extremely difficult to raise money unless your numbers are just the best numbers ever. That’s, I think, the first part of the element of bifurcation that we’re seeing today. The second element of bifurcation that we’re seeing today in terms of fundraising is for VCs themselves, and really propelled by the large VC firms raising more and more capital in recent orbits, announcing 15 billion across funds raised. Lightspeed, I think, had made an announcement a couple of weeks ago as well. They’ve raised a bunch of money as well. The big guys are all raising a lot of money. At some point in time, the question some of you might ask is, “These VCs are redeploying more and more money if they have a couple of billion for a VC fund. How does that look like? Is that still VC?” My perspective, I’ve shared before in some of our previous episodes, is that that’s no longer venture capital. At that point in time, we’re talking about something else. Private equity hedge funds, if you want to call them, maybe funds that are really driven by growth investment or late-stage investment. If you have a couple of billion under management, you’re not going to make your returns by writing a $3 million check in a series seed and leading that round.  That has implications for everyone in the ecosystem. It has implications for smaller funds that obviously have a lot more difficulty in raising capital. It’s difficult to differentiate. Last but not least, also for startups that really continue searching for that capital that is out there. Andreessen Horowitz, for example, runs Speedrun, which is a great program for companies around consumer in particular. Initially, it was a lot for gaming. But at some point in time, Andreessen Horowitz could decide that they don’t want to invest more in you. They just put money from Speedrun, which is obviously a very small check compared to the very large checks they could write mid to late stage and that will have an effect on you as a startup. What happens at that point in time if Andreessen Horowitz is not backing you up in later stages? More than that, what happens if I can’t get these big funds interested in me? Are the small funds still valuable to me? Punchline, my view is yes. Obviously, we’re a smaller fund, so there’s parochial interest in what I’m saying. Small funds can still create a ton of value for you, also in terms of credibility, ability to accompany you in those first stages of investment, and the ability to bring other larger investors later down the road as well. There’s definitely a big movement happening in terms of the fundraising for VC funds, which we shouldn’t neglect, which is the big guys are raising a lot more capital and are therefore emptying the market to smaller funds that are having more and more difficult raising at this point in time. We had discussed that there would be a need for concentration in the industry, that micro funds would need to concentrate, and we didn’t have the space for so many micro funds as we had around. But the way it’s happening is extremely dramatic at this moment in time. I think it will continue through 2026. Bertrand Schmitt Remember a few years ago, with the rise of AI, there was more and more of the question about, “What’s the point of SaaS at this stage?” Because SaaS was around for 15 years. Basically, how do you come up with something new that was not already tested, validated by the market? How do you bring something new? We say this was reinforced to the power of 10. If your product is not clearly built from the ground up for a new use case enabled by AI, anyone could then might have built your product 5, 10 years ago, and therefore, why now has no clear answer, and it’s a big problem. I’m still surprised myself to still see some entrepreneurs where you talk to them about AI because you don’t see them in the deck, and they explain to you, “It’s not yet there,” and you’re like, “What’s wrong with you guys?” Fine. Do whatever you want. Do a small business and whatever, but don’t think you can come up pitch and raise without an AI story. The second category is people who come with an AI story, but you can feel very quickly, I guess you saw that many times, Nuno, where just a story layered on top with little credibility. It’s not better. It’s not enough to just have a story. Your business needs to be radically built differently or radically proposing some brand-new use cases that were impossible to solve 5 years ago. Nuno Goncalves Pedro To stack up on that, absolutely in agreement. If you’re just adding to the story, and it’s an afterthought, and you’re just trying to make the story somehow gel, once you go into one or two layers of due diligence, your investors will very quickly realise that you’re not really AI-first or dramatically AI-enabled or whatever. It’s just you’re sort of stacking something on top of another thesis. It needs to make sense from the product onwards. It’s not just, let’s just put it together with chewing gum, and magically, people will give you money. It was true also if we remember the good old crypto blockchain days, where everyone’s investing in crypto. A lot of stories that didn’t make much sense. In that sense, it’s not very different. I would go one step further. I think in the world of the VC winter that we’re a little bit in, where it’s more and more difficult if you’re a smaller fund to raise your fund at this moment in time, there’s a lot of sources of distinctiveness still talked about, like proprietary networks, access to deal flow, fast track record, all that stuff that really, really matters. But our bet continues at Chamaeleon continues being that you need to be AI-first as a VC fund yourself. You need to have core advantages in using not only readily-available AI tools or third-party available AI tools, data sources, technology stacks, but actually building your own stack over time, which is what we did with Mantis at Chamaeleon. Again, just to reinforce that, I think we’re at the beginning of that stage. We, Chamaeleon, are ahead of the game, but we think that the rest of the market will have to move towards that as well. Still, to be honest, very surprising to me to see that many significant large players are doing very little still around some of these spaces. They have data scientists. They’re running some tools. They’re running some analysis and all that stuff, but it’s still, again, back to the point I was making for startups, all glued up with chewing gum. It doesn’t all come together nicely, which it does need to from a platform standpoint. Bertrand Schmitt It’s quite surprising. I agree with you that some VC funds might think that they can do business as usual in that brand-new world. It’s difficult to believe. Nuno Goncalves Pedro Maybe moving a little bit toward the capital formation piece. We already discussed the M&A space really accelerating. We’ve also discussed the IPO market and some predictions on that. Secondaries, there’s obviously a lot of liquidity coming from secondaries from mid to late stage. I think it will continue throughout the rest of 2026. A lot of activity in buying, selling in secondaries as some asset managers are becoming more distressed, as some very high net worth individuals and family offices are becoming more distressed as well, at the same time, where there’s a lot of opportunities to potentially arbitrage around some investments. I believe a lot of money will be made and lost this year by decisions made this year, just to be very, very clear in terms of equity, purchases, et cetera. Exciting year ahead of us. Definitely a very, very interesting market ahead of us. Secondaries, M&A, growth, and late-stage investing, also, early-stage investing will continue just for those that were wondering. Last but not least, the public markets, the IPO market as well. Bertrand Schmitt One of the big questions for the IPO market would be, will SpaceX go public? Would it be good for the startup ecosystem? Because suddenly that they go public, it would be to raise money. If they raise money, will there be any money left for anybody else? That would be an interesting test of the market. For sure, it would be proof that market are risk on financing a new IPO like this one. Or as you said, maybe there is no IPO, and it’s a merger with Tesla. Time will tell. Nuno Goncalves Pedro Regulatory & Geopolitical Headwinds… and the Wars Moving maybe to our topic of regulation and geopolitical headwinds, as we’re seeing … definitely not tailwinds. The Google antitrust verdict and, obviously, the remedies are expected to come forward now, and a lot of people are saying, “There are some risks of structural separation.” What do you think? Is it cool, but nothing will happen in the end dramatically? Alphabet or Google? I’m not sure, actually. It’s Google LLC. I think that’s the case. It’s The United States versus Google LLC. Bertrand Schmitt I’m not sure. Personally, I’m not a big fan. I think there needs to be a better way to manage some anticompetitive behavior. I’m not a big fan. There was this temptation to do that for Microsoft 25 years ago. Look at what happened. No one needed to buy Microsoft to leave space for others. I see the same with Google, and I guess they are happy to not be the number 1 in AI today, but to have an open AI in front of them. Even if they are doing a great job, by the way, to move forward and go faster and faster. Personally, quite impressed now with some of what they have released. Gemini 3 is doing great from my perspective. I’m not a big fan of this. I think to be clear, it’s important that bigger companies don’t behave anticompetitively, but at the same time, we need to find the right approach where it’s not about breaking these companies, and it’s also not about forbidding them to do acquisitions. Because then you end up with what NVIDIA just did with a $20 billion acquihire IP licensing type of acquisition, because they didn’t want to have the uncertainties. They didn’t want to wait 1–2 years in order to acquire the people and the technology, so they organised it in a different way. But I don’t like that. I think they should be able to acquire companies without facing so much uncertainty. To be clear, it’s not new. Uncertainty when you are Google, NVIDIA, or others, it happens. It has happened for a decade plus, 2 decades. I think there needs to be, for sure, some safety valves. At the same time, we want an efficient capital market. An efficient capital market need companies that can acquire other companies. If you don’t do that efficiently, it will be worse for the entrepreneurs, it will be worse for the investors, it will be worse for everybody. I think we have not reached a good equilibrium from my perspective. We need more efficient acquisition process. And at the same time, we need to also enforce faster anticompetitive behavior. Because what you talk about concerning Google, this is a case that was what? That is 10 years old. You see what I mean? This is way too long. If you’re a startup, you are dead by then. It’s like the story of Netscape facing Microsoft. They were dead long after the fact. I think we need a different approach. I’m not sure the best answer. I’m not sure we’ll get a better approach. There are probably too many vested interest. My hope is that it will get better with this current administration because, certainly, the past administration was very anti acquisition and efficient markets. Nuno Goncalves Pedro We’ve talked about the European Union AI Act a bunch of times, so I don’t want to spend too many cycles on that. The only effect that I would say is we are seeing in very slow motion the splitting of the Internet. I once had Tim Berners-Lee, by the way, shouting at me that we were going to break the Internet when we were applying for the .mobi top-level domain. I was part of that consortium that eventually did get the .mobi top-level domain, and I had him shouting at us. But, apparently, this is going to split the Internet, Tim. So in case you’re listening. Because it will create all these different rules. If your data is relating to consumers there, then it’s treated in a different way, and The US is… Well, obviously, we have the case of California with its own rules and laws. I don’t know. I feel we’re having a moment of siloing that goes beyond economic and geopolitical siloing. It will also apply to the digital world, and we’ll start having different landscapes around it. We’ll see how this affects global expansion of services, for example, around AI, particularly for consumer, but I don’t foresee anything dramatically positive. Recently, we had the whole deal around TikTok finally having a solution for their US problem where there’s now a US conglomerate magically that owns it. The conglomerate doesn’t magically own it, they just straight up own it for the US. But it was driven by many of these concerns around data ownership. Where’s the data? Where is it based? I think a lot of other concerns that have to do with the geopolitics of China, obviously, being the basis of ByteDance, the owner of TikTok, that still is a significant owner, by the way, in TikTok in US. Then also the interest in the economics of making money out of something as powerful as TikTok, to be honest, in The US. Just to be clear, I don’t think this was all about the best interests of consumers. It was also about money. Just follow the money. Bertrand Schmitt There are for sure, some powerful interest at play. But let’s be clear. I think one is data, as you rightfully said, but the other one is algorithm. It’s not as if China is authorising any competitor on its territory. They have blocked access to most of the Internet platforms from the US, either finding new rules or just trade blocking them. So I don’t think it’s fair competition. You don’t want some of that data in China about the US or European consumer. Three, it’s about the algorithm. If suddenly, you are a foreign power, and you can as we know in China, you better follow what’s required of you from the Chinese Communist Party. You cannot take a chance with influencing other stuff like elections in other countries. It’s fair from the US perspective. One could even argue it’s fair from a Chinese perspective to want that. I think the only one in the middle who doesn’t really know what they want is Europe because on one side, they want to benefit from American platforms, on the other end, they want to have some controls. On the other end, they don’t create the environment for startups to flourish. So in that weird situation where they have to accept some control by the big US providers and either provider of underlying infrastructure or provider of consumer business facing services. Then they try to regulate them. But I think they are misunderstanding the power relationship, and I think some of this regulation would get some blowback, at least by the current administration. Just, I believe, this morning, there was some news around X being under a criminal investigation in France. This is not going to end well for the French startup and VC ecosystem. This is not going to end well for France and Europe when you depend so much from your American friends. Nuno Goncalves Pedro Regulation will be weaponised. Regulation constraints around exports, all of this will be weaponised geopolitically, and the bigger guys will normally win. I think that’s normally what we’ve seen. Just on TikTok just to… And you guys, if you’re listening to us, just see if you see a pattern here, but obviously, 19.9% still owned by ByteDance of the TikTok entity in the US. It was initially said that 80% of the TikTok entity is owned by non-Chinese investors. Initially, people were saying US investors, and then they changed it to non-Chinese because MGX, I think, has 15% of it. MGX is based in the UAE, connected obviously to Mubadala, the Abu Dhabi sovereign wealth fund. Silver Lake is in there, I think, with 15% as well. Oracle as well with 15%. Those three are the big bucket owners together, 45%. Silver Lake having collaborated with MGX before, and I’m sure a lot of connectivity there. Then you still see a pattern in this in terms of shareholders. If you don’t, then just Google it. Dell Family Office, Vastmir Strategic Investments, which is owned by billionaire Jeff Yass, Alpha Wave Partners, obviously involved with a bunch of things like SpaceX and Klarna, Virgoli, Revolution, which is Steve Case’s, a former founder of AOL, is also in there. Meritway, which is managed by partners, I think, of Dragonair. Vinova from General Atlantic, an affiliate of General Atlantic. Also, NJJ Capital, which I believe is Xavier Nil, the French billionaire that founded Iliad. Mostly American, I think, if the math is correct. 80% non-Chinese, which was what mattered, I think, in many cases. But do see if you saw a pattern in most of those investors. I won’t say anything more than that. Maybe moving to other topics, maybe just to finalise on regulation and geopolitics. In geopolitics, we should talk about wars if we predict anything. Not that we are nasty and one want to be negative, but what the hell is going on? Will we have ending to the wars we already have ongoing or not? But before that, the struggles on the App Stores, I think, will continue both for Apple and for Google Play Store. The writing’s on the wall, the EU keeps pushing it dramatically and Apple keeps just doing stuff. I’m on the board of an App Store company. Apple just creates all these things that basically make you not really… It doesn’t work. You can’t provision then an App Store on Apple devices. On iPhones, et cetera. We’ll see how that will continue going, but I feel the writing’s on the wall. Both Apple and Google will have to open up a bit more of their platforms. I’m not sure it will have a huge impact in the medium to long term, but definitely we need to see more openness in access to apps as given by the two big platform owners, Apple and Google, out there. Bertrand Schmitt Let’s be clear. Google is way more open than Apple. We both have Android devices. You can install alternative app stores. It’s a different ballgame by very far. Nuno Goncalves Pedro Google does other nasty stuff. It’s public. You can check which board I’m a part of. You can see what that company has done towards Google over time. But to your point, yes. It is true that Google has been more open than Apple, but Google has done their own things. Just to be very clear, so I’ll just leave that caveat bracketed there for people to think about it and maybe read a little bit about it as well. Bertrand Schmitt I can say that, me, from my perspective, that path of total control that Apple has been going through on all their devices, that includes macOS, pushed me to, over the past 2, 3 years, to completely live and abandon the Apple ecosystem. I just couldn’t accept that level of control, that golden handcuff approach of the Apple ecosystem, each their own obviously, they are golden, their handcuffs, but they are still handcuffs. Personally, that pushed me way more to Linux, Android, Windows, back to Windows after all these years. I just couldn’t stand it anymore. I want to pick my devices. I want to pick what I install on them, and I don’t want to be controlled like this by just one entity for all my tech devices. For me, at some point, it was just not acceptable anymore. It’s still very warm, very golden handcuffs, but for me, they were just handcuffs at this stage. Yes, what they are doing with the App Store is very typical of that mindset. I think it’s quite sad because I think it started with good intention in some ways. “We need a new computing paradigm, we need to make things smoother and safer,” but it has really become a way to control your clients. For me, it has reached a point where it’s just way too much. Nuno Goncalves Pedro There’s obviously the great power comes great responsibility that uncle Ben told Spider-Man or Peter Parker. But there’s also with great power comes shitload of money, and control. So it’s like, “Yeah. Should we open the server? Do we want to delay opening it up?” “Yeah.” Anyway, it is what it is. Maybe let’s end on the more difficult note of the episode, which is going to be around wars. What’s our prediction? Will we have an end to the Gaza situation with Israel? Will we have an end to Ukraine and, obviously, Russia? What will happen in Iran? Those are the three big, big conflicts right now. Then, obviously, if we want to add just bonus points, what’s going to happen to Greenland, and what’s going to happen to Taiwan, and what’s going to happen to Venezuela? Let’s throw the whole basket in there. We’ve never had like… Let’s talk about all these territories and all these countries. At some point in time, I’m saying this in a light manner, but it’s obviously more tragic than it should be light, and people are dying, and there’s a lot of implications of all of that that is happening right now. Do you have any predictions, Bertrand, for this year? Bertrand Schmitt No. It’s tough to predict on an individual basis. I think on a more bigger picture basis is on one side, obviously, the rise of China on one side. You have also the rise of other countries like India, while very indirectly connected to some of these conflicts are still part of the game, buying oil from Russia, for instance. At the same time, I think overall, the US is more clear about with the sheriff in town. I think it’s good because in some ways, you cannot pay for the goods, you cannot have such a massive advantage versus nearly every other country on earth and just not be clear about who is the boss in some ways. As a result, what are the rules of the game and how it should be played? The US is not alone, obviously, you have China, you have Russia, you have India, you have Europe. You have different other countries. But at some point, it’s not good when countries are not rational and are not clear. I think I prefer the current situation where things are more clear and where you have to assume responsibilities about what you are doing. It’s time to be rational again about how the world behave. Yes, the concept of power and balance of power. I think there has been that dream, maybe mostly coming from Europe, about the end of history. I think that’s simply not the case. It’s not the end of history. It’s still about the balance of power. It has always been about the balance of power. If you are dumb enough to think it was not about that anymore, I just have a bridge to nowhere to sell you. I don’t have specific prediction, but I think it’s clear there is a new sheriff in town. There is a new doctrine about the Western Hemisphere that has been in some ways resurrected on the [inaudible 00:51:35] train, and I think we’ll see more of it. I think at this point, the biggest question is for the Europeans. What do they want to do? Because right now, their position of being a dwarf militarily while being a pretty big giant economically, I don’t think it works. Nuno Goncalves Pedro I agreed on everything that you said. I do have predictions. I’ll stick a flag on the ground just with my predictions. Bertrand Schmitt Good luck. Nuno Goncalves Pedro They are mostly positive. I do think we’ll see an end or, for the most, end to the two big conflicts, the one in Gaza and the one in Ukraine. I think Ukraine will end up in readjustment of territory and splitting between Russia and the Ukraine, but the end of hostilities, I think that we will see an end to the conflict in Gaza also with a readjustment on what that will mean for the Palestinian territories and the Palestinians in general. That I’m not sure, but I feel that there will be an end to those two big conflicts. Iran, I have no clue. I will not put a stick on the ground that I have no clue. There are so many things that could go wrong there. I’ve been reading some really interesting thoughts about even some aggressive thoughts that this might be the time to really change regimes in Iran and for the US to have a bit more of an aggressive stance. I really don’t have a perspective. Obviously, there’s a lot at stake there. Then, if we talk about the other parts, Greenland, I will not opine too much on. Maybe we’re done for now. Maybe there’ll be some other concessions to the US that weren’t already there in the ’50s. Taiwan, I won’t bet either. I’m sad to say I think it might happen at some point in time, but I’m not sure when and what would drive it. Last but not the least, Venezuela is my only really negative prediction. I feel it will continue to be a significant dictatorship as it was before managed enough by other people with the difference now that it has a tax to be paid to the US in the form of oil of some sort, etcetera, and maybe gas, maybe other things as well that it didn’t have before. That’s probably my most negative prediction for the coming year on the geopolitical side. Bertrand Schmitt Without going into detail, I would mostly agree with what you shared. At least that makes sense. But as we know, it’s not always what makes sense, but what might happen. I can tell you 100% I would not have guessed this operation against Maduro. This was so well done, well executed, and shocking at the same time that it’s… I think it shows that it’s hard to guess some of this stuff because there are certainly some new ways to wage limited war, for instance. So it’s certainly interesting, and we certainly need to get used to pretty bombastic statements. But for Venezuela, I don’t think it can be worse than what it was before. I’m probably more optimistic that gradually it can get better. Nuno Goncalves Pedro Just to put perspective on why we’re not making predictions on some of these elements, I think this is a funny story, but I was in Madeira. Actually, first time I was in Madeira, although I’m originally from Portugal. I’ve never been to the islands. Obviously, as you guys know, or some of you might know, there’s a lot of connection between Madeira and Venezuela. There’s a lot of immigration from Madeira Islands to Venezuela. One of my Uber or Bolt drivers there in Madeira was Venezuelan. Was born in Venezuela, but Portuguese descent, et cetera. He was telling me this was still last year. Late last year. Because I told him I lived in US, et cetera, and he was like, “Oh, hopefully, Trump will get Maduro out of there.” In my mind, I was like, “Dude.” No disrespect to the gentleman, but it’s like, “Okay. Mike, your perspective on geopolitics is maybe a little bit exaggerated.” And a couple of days later, we know what happened. When geopolitical decisions are better predicted by some probably very astute Uber drivers, you’re like, “Maybe I shouldn’t make a bet. I have no clue what’s going to happen, no clue what’s going to happen in Greenland, et cetera.” Anyway, a couple of predictions on that element. Bertrand Schmitt That’s why it’s so right. You have to be careful with the prediction, but it doesn’t remove the fact that I think nations and companies that have to play a global game have to understand in some ways what is the game, what are the powers in place, what could happen potentially, but also be realistic. Not be about wish and dreams, but more about, what’s the power relationship? Who has the money? Who has the means? Who has the capacity to do this or that? Because if you start that way, at least the scope of what’s possible, what’s reasonable is more and more clear more quickly. Some stuff like happened with Maduro, I would never have predicted, but for sure, if there’s one country that can do this sort of stuff, it’s the US. I’m not sure anyone has a technology and the means in terms of support infrastructure to do something like this. It’s tough to predict what will happen a year from now for any specific country, but I think that even trying to get a better understanding about the forces in play and their capacity and understanding and accepting that at some point, it’s all about real politic and relationship of power, the more your eyes would be wide open about what’s possible versus simple, wishful thinking. Nuno Goncalves Pedro Fintech, Crypto and Frontier Tech Moving maybe to our last section around fintech, crypto, and frontier tech. For me, just two very quick predictions, views of the world. I think on the frontier tech side, I won’t make a prediction. I will just tell you all to go and listen to our episodes, the one on infrastructure, which is immediately prior to this one, and the episodes that we’ve had around a couple of other topics including AI, what’s the future of your children, because I think they illustrate a lot of the points that we’re seeing and manifesting themselves over the next year and over the next 2 or 3 years as well beyond that. I feel those tomes are complete in and out of themselves, so you can just go and listen to them. Then my second comment is on crypto. I feel crypto has become of the essence, particularly under the current administration in the US, very favored. Obviously, we are now in a world where crypto is just part of the economic system, and I think we’ll see more and more of that emerging, and in some ways, crypto is becoming mainstream. Question is what blockchains will be the blockchains of the future? Obviously, there’s a bunch of bets put out there. We, ourselves, as Chamaeleon, have one investment in one of the significant bets in the space. But besides that, who’s going to win or not, we feel that we’re past the crypto winter. It’s now mainstream days, and we’ll see a lot more activity in there. Bertrand Schmitt I must say with crypto, I’m a bit confused. As you say, we are past the crypto winter. There is much less uncertainty in regul

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

AI isn't something managers can delegate. It's something they have to demonstrate. In this episode, Jen talks about one of the biggest leadership shifts happening inside dealerships right now: leaders becoming the model of how to use AI, not just the ones telling everyone else to use it. Your team isn't going to adopt tools because of a memo or a mandate. They adopt them because they see their leader using them in real life, in meetings, during problem-solving, when building customer messaging, or when creating new sales ideas. Jen shares how managers can introduce tools like ChatGPT, Claude, Gemini, Grok and others inside regular team meetings so people learn naturally instead of feeling forced. When leaders use AI openly, asking questions, testing ideas, building scripts... it shows the team how to think differently and stay relevant in a fast-changing industry. The message is simple: People don't follow mandates. They follow models. If you want your team to evolve, they have to watch you do it first!   Dealer Talk with Jen Suzuki Podcast |

In this forward-looking episode of The Global Marketing Show, Wendy MacKenzie Pease sits down with Justin Seibert, founder of Direct Online Marketing, a Premier Google Partner offering search engine marketing and other forms of digital advertising to clients around the globe. Justin unpacks what global marketing looks like in a world increasingly driven by AI search engines like ChatGPT, Gemini, and Claude. With 25 years in digital marketing and clients in 30 countries, Justin shares how his agency evolved from traditional SEO and paid search into what he calls Generative Engine Optimization (GEO): the art and science of getting recommended by AI. This isn't just a tech conversation, it's a global one. From helping Australian exporters break into the U.S. market to running localized campaigns in French, German, Italian, and Greek, Justin explains why professional translation and cultural nuance still matter even in the AI era. The episode explores how reputation, localization, cross-border partnerships, and strategic positioning all intersect in today's intent-driven marketing environment. If AI is reshaping how buyers discover and shortlist companies, this conversation is your roadmap to staying visible (and credible) across languages and borders. What listeners will learn: What Generative Engine Optimization (GEO) actually is and why it may overtake traditional SEO within the next two years. How AI-driven search changes buyer behavior, creating higher-intent, pre-educated prospects before they ever visit your website. Why reputation, localization, and cultural positioning are critical to showing up in AI results and how to adapt messaging across global markets without fragmenting your brand. This episode is essential listening for exporters, international marketers, and growth-focused service firms who want to future-proof their visibility in an AI-first world. Check out The Global Marketing Show Blog.

México confirma 12 mil 176 casos de sarampión AIFA recibe certificación de su Sistema de Gestión de SeguridadSECTI Edomex invita a estudiantes a realizar servicio social 

This episode is sponsored by Airia. Get started today at ⁠⁠⁠⁠⁠⁠⁠⁠⁠airia.com⁠⁠⁠⁠⁠⁠⁠⁠⁠. Jason Howell and Jeff Jarvis unpack the Pentagon's fallout with Anthropic over military AI, OpenAI's rushed deal to replace them, Block cutting 40% of staff, blaming AI, Perplexity launching a multi-agent computer system, a whistleblower exposing Meta smart glasses privacy issues, and the Supreme Court rejecting AI copyright claims. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00:00 - Start 0:01:59 - A ‘Fight About Vibes' Drove the Pentagon's Breakup with Anthropic 0:05:34 - OpenAI amends Pentagon deal as Sam Altman admits it looks ‘sloppy' 0:05:34 - SAMA's prevaricating, planicked posts 0:12:33 - Anthropic Nears $20 Billion Revenue Run Rate Amid Pentagon Feud 0:28:04 - Jack Dorsey's Latest Far-Out Bet: An AI Future With Fewer Employees 0:28:36 - Jack Dorsey's Block to Lay Off 40% of Its Workforce in AI Remake 0:30:16 - The Week the Dreaded AI Jobs Wipeout Got Real 0:31:20 - Tech Has Never Caused a Job Apocalypse. Don't Bet on It Now. 0:37:21 - Perplexity announces “Computer,” an AI agent that assigns work to other AI agents 0:39:16 - Perplexity's new Computer is another bet that users need many AI models 0:40:55 - Investigation: Sama data annotators in Nairobi say they often view private footage from Meta's Ray-Ban glasses, like bathroom visits; some footage is blurred 0:48:02 - Restaurant uses AI to make salty otter logo; gets slammed 0:50:15 - Burger King will use AI to check if employees say ‘please' and ‘thank you' 0:54:22 - The Supreme Court doesn't care if you want to copyright your AI-generated art 0:59:58 - Nano Banana 2: Combining Pro capabilities with lightning-fast speed 1:03:16 - Gemini 3.1 Flash-Lite: Built for intelligence at scale 1:03:38 - GPT‑5.3 Instant: Smoother, more useful everyday conversations Learn more about your ad choices. Visit megaphone.fm/adchoices

Why Every Affiliate Manager Needs to Understand What's Happening to Search Right NowSearch is changing faster than most programs can adapt. AI-powered platforms like ChatGPT and Gemini are absorbing customer journeys that used to generate trackable clicks, and the content that influences purchasing decisions is increasingly going unrecognised and unpaid.In this episode, Lee-Ann sits down with Alex Springer, Director at openattribution.org, and Leanna Klyne, Head of Agency at KonverJ, to unpack what open attribution actually means, why last-click attribution was already broken before AI arrived, and what the industry is doing about it together, many of them for the very first time.If you work with publishers, run an affiliate program, or depend on content-driven traffic to generate sales, this conversation will reshape how you think about measurement, value, and what comes next.Talking Points Include:Why content creators are producing value they will never be paid for and what needs to change before the affiliate industry loses its commercial foundation entirelyThe difference between how people shop and how AI thinks people buy and why that gap is exactly where affiliate marketing's future opportunity livesWhy last click was always a fiction and why the shift to AI-assisted search is finally forcing the industry to confront itWhat Open Attribution actually is and why it starts with something as simple as a list of URLs that changed everythingListen to Find Out More About:What the agentic commerce protocols from OpenAI and Google actually do, and why the contributions Open Attribution is making to them matter for every publisher and brand in performance marketingWhy some of the highest-quality publisher content has been deliberately removed from AI training sets, and what that means for the accuracy of AI recommendations right nowThe early warning signs that brands and affiliate managers should be watching for as AI-generated content starts to game LLM visibility the same way SEO was gamed in the early days of GoogleHow the SPUR initiative and the APMA AI task force connect to what Open Attribution is building, and where compliance and governance conversations are actually happeningWhy Alex believes websites are not going away in five years, and what types of purchases will continue to require the kind of considered, content-led journeys that affiliate publishers are built to supportKey Segments of This Podcast and Where You Can Tune In to Go Direct:[02:47] Alex introduces Open Attribution, his decade in performance marketing, and why he shifted focus from AI as a technology to AI as an industry actor[05:45] Why last click was already broken before AI, and what transparency and usage auditability actually mean for content owners and brands[27:05] The CPA debate: whether cost-per-acquisition still makes sense, what influence really means now, and why the shopping journey has always been more complex than the model we used to measure itReady to Build a Smarter Affiliate Program?If this episode raised questions about how your program is measuring influence, attributing value, or preparing for an AI-first customer journey, the KonverJ team can help. We work with brands and publishers to build affiliate strategies that are built for where performance marketing is heading, not just where it has been.Get in touch with the KonverJ team to find out how we can help you build a program that performs in the new landscape.Send me a text with your questions

Discover what the stars have aligned for you today. Whether you are looking for clarity in your love life, seeking direction in your career, or simply need a moment of mindfulness to start your morning, this reading offers the cosmic guidance you need to navigate today with confidence. In today's episode, we cover: Love and Relationships: Insight into how today's planetary alignment affects your romantic connections, family dynamics, and social life. Find out if it's a day for communication or a day for reflection. Career and Finance: Practical astrological advice for your professional life. We explore opportunities for growth, financial caution, and productivity tips tailored to the unique energy of your Zodiac Sign. Personal Growth and Wellness: Daily affirmations and spiritual guidance to help you stay grounded. Learn how to harness the energy of the moon and the planets to improve your mental and emotional well-being. Why Listen to Your Daily Horoscope? Astrology is more than just prediction; it is a tool for self-discovery and mindfulness. By tuning into the cosmic climate, you can align your actions with the universe's energy. Our daily episodes are short, actionable, and designed to help you live your best life, every single day. Connect with the Cosmos: If this episode resonated with you, please subscribe and leave a review! Your support helps us bring daily celestial wisdom to listeners around the world. Disclaimer: The information and astrological interpretations in this podcast are for entertainment purposes only. Listeners are encouraged to use their own discretion and should not replace professional medical, legal, or financial advice with the content of this show.

Stolen Gemini API Key Triggers $82K Bill, Accenture Buys Ookla, OpenAI vs GitHub, and Meta Smart Glasses Privacy Jim Love covers multiple tech stories: a three-developer startup in Mexico saw its Google Gemini bill jump from about $180/month to $82,314 in two days after attackers used a stolen API key, highlighting the financial and security risks of usage-based AI APIs, limits, and autonomous agents. Accenture is buying Ookla (Speedtest and Downdetector) for about $1.2B, aiming to monetize its large real-world internet performance dataset for consulting and infrastructure work. Reports say OpenAI may be developing a developer platform that could compete with Microsoft's GitHub, complicating their partnership. China's Minimax launches Max Claw, a cloud "always-on" AI agent deployable in 10 seconds, raising broader access and data-security concerns. Apple's MacBook Neo looks inexpensive but has fixed 8GB memory and paid storage upgrades. Meta's Ray-Ban smart glasses raise privacy questions around stored AI interactions and human review. Hashtag Trending would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt 00:00 Sponsor Message Meter 01:04 Gemini Key Bill Shock 04:46 Accenture Buys Ookla 06:26 OpenAI vs GitHub Rumors 08:07 Minimax Max Claw Agents 11:07 MacBook Neo Value Trap 12:51 Meta Smart Glasses Privacy 14:56 Wrap Up and Thanks

El programa 2834 de Radiogeek, les habló de varios temas importantes. El MacBook económico de Apple funciona con un chip de iPhone; El director ejecutivo de Anthropic, Dario Amodei, califica los mensajes de OpenAI sobre el acuerdo militar de "mentiras descaradas"; TikTok se niega a añadir cifrado de extremo a extremo a sus mensajes directos; Nuevo escándalo de privacidad en Meta: revisores humanos acceden a vídeos íntimos de los usuarios de sus gafas con IA; y por ultimo Google responde a demanda por homicidio culposo en un suicidio relacionado con Gemini. Toda esta información la pueden encontrar desde nuestra web www.infosertec.com.ar o bien desde el canal de Telegram/Whastapp, o Instagram. Esperamos sus comentarios.

Discover the latest economic update and if there is a "coming boom". Are you on track for financial freedom...or not? Financial freedom is a combination of money, compounding and time (my McT Formula). How well you invest can make the biggest difference to your financial freedom and lifestyle. If you invested well for the long-term, what a difference it would make because the difference between investing $100k and earning 5 percent or 10 percent on your money over 30 years, is the difference between it growing to $432,194 or $1,744,940, an increase of over $1.3 million dollars. Your compounding rate, and how well you invest, matters!  INVESTING IS WHAT THE BE WEALTHY & SMART VIP EXPERIENCE IS ALL ABOUT - Invest in digital assets and stock ETFs for potential high compounding rates - Receive an Asset Allocation model with ticker symbols and what % to invest -Monthly LIVE investment webinars with Linda 10 months per year, with Q & A -Private VIP Facebook group with daily community interaction -Weekly investment commentary -Extra educational wealth classes available -Pay once, have lifetime access! NO recurring membership fees. -US and foreign investors are welcome -No minimum $ amount to invest -Tech Team available for digital assets (for hire per hour) For a limited time, enjoy a 50% savings on my private investing group, the Be Wealthy & Smart VIP Experience. Pay once and enjoy lifetime access without any recurring fees. Enter "SAVE50" to save 50%here: http://tinyurl.com/InvestingVIP Or set up a complimentary conversation to answer your questions about the Be Wealthy & Smart VIP Experience. Request an appointment to talk with Linda here: https://tinyurl.com/TalkWithLinda (yes, you talk to Linda!). SUBSCRIBE TO BE WEALTHY & SMART Click Here to Subscribe Via iTunes Click Here to Subscribe Via Stitcher on an Android Device Click Here to Subscribe Via RSS Feed LINDA'S WEALTH BOOKS 1. Get my book, "3 Steps to Quantum Wealth: The Wealth Heiress' Guide to Financial Freedom by Investing in Cryptocurrencies". 2. Get my book, "You're Already a Wealth Heiress, Now Think and Act Like One: 6 Practical Steps to Make It a Reality Now!" Men love it too! After all, you are Wealth Heirs. :) International buyers (if you live outside of the US) get my book here. WANT MORE FROM LINDA? Check out her programs. Join her on Instagram. WEALTH LIBRARY OF PODCASTS Listen to the full wealth library of podcasts from the beginning.  SPECIAL DEALS #Ad Apply for a Gemini credit card and get FREE XRP back (or any crypto you choose) when you use the card. Charge $3000 in first 90 days and earn $200 in crypto rewards when you use this link to apply and are approved: https://tinyurl.com/geminixrp This is a credit card, NOT a debit card. There are great rewards. Set your choice to EARN FREE XRP! #Ad Protect yourself online with a Virtual Private Network (VPN). Get 3 MONTHS FREE when you sign up for a NORD VPN plan here.  #Ad To safely and securely store crypto, I recommend using a Tangem wallet. Get a 10% discount when you purchase here. #Ad If you are looking to simplify your crypto tax reporting, use Koinly. It is highly recommended and so easy for tax reporting. You can save $20, click here. Be Wealthy & Smart,™ is a personal finance show with self-made millionaire Linda P. Jones, America's Wealth Mentor.™ Learn simple steps that make a big difference to your financial freedom.  (This post contains affiliate links. If you click on a link and make a purchase, I may receive a commission. There is no additional cost to you.)  

Welcome back to another special crossover episode! This week's episode is actually from The Next Wave podcast.In this action-packed episode, Matt Wolfe and Joe Fier dive into the explosive showdown between AI company Anthropic and the U.S. government, a story that's sending shockwaves through both the tech and policy worlds. They break down why Anthropic is drawing a hard line on surveillance and autonomous weapons—and how that's causing serious friction with the Pentagon. You'll hear the latest news, behind-the-scenes drama, and what this could mean for the future of AI accountability.But it's not all serious talk. The duo also roll up their sleeves to test Google's brand new NanoBanana 2 image model. Expect real-time demos, fun creative challenges, and a look at how this technology can supercharge everything from YouTube thumbnails to AI-generated infographics. Plus, they round things out by exploring the new wave of AI agents and even take a nostalgic detour into Joe Fier's days working at Burger King—and how fast food is embracing AI assistants.Topics DiscussedAnthropic vs. Pentagon ShowdownAI in Military OperationsTesting Nanobanana 2 (Google's Image Model)AI Agents & AutomationViral AI-Generated VideosAI in Fast Food: Burger King's "Patty" AssistantResources and LinksThe Next Wave Podcast: https://www.thenextwave.showMatt Wolfe: https://www.youtube.com/@mreflow OpenClaw: https://openclaw.ai/Manus: https://manus.im/Nano Banana 2: https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/Perplexity: https://www.perplexity.ai/Claude: https://claude.ai/Gemini: https://gemini.google.com/appCursor: https://cursor.com/

March 4, 2026: Your daily rundown of health and wellness news, in under 5 minutes. Today's top stories: Quest Diagnostics unveils AI chatbot in MyQuest portal analyzing five years of lab data powered by Google's Gemini models Subco launches independent supplement certification program anonymously purchasing retail supplements and verifying ingredients in independent labs Eight Sleep raises funding at $1.5B valuation, shifting from reactive sleep optimization to predictive AI agent and pursuing FDA clearance for sleep apnea detection More from Fitt: Fitt Insider breaks down the convergence of fitness, wellness, and healthcare — and what it means for business, culture, and capital. Subscribe to our newsletter → insider.fitt.co/subscribe Work with our recruiting firm → https://talent.fitt.co/ Follow us on Instagram → https://www.instagram.com/fittinsider/ Follow us on LinkedIn → linkedin.com/company/fittinsider Reach out → insider@fitt.co

The MSP market is undergoing a critical shift toward risk management as the central value proposition, with operational accountability now defined by the ability to produce defensible documentation and deliver rapid incident response. According to Dave Sobel, MSPs are no longer primarily offering stack management, but are increasingly brokering risk through cyber warranties, insurance underwriting, incident retainers, and AI governance frameworks. Those unable to support their claims with evidence and formal processes risk becoming mere facilitators for third-party terms and losing control over their margins. Recent developments reinforce this shift. A Splunk report finds that nearly all CISOs now view AI governance and risk management as their responsibility, citing threat actor sophistication as a primary driver. AI is assisting with event triage and data correlation, but verification—especially around AI-generated content—is unreliable, with detection tools struggling against advanced fakes. Insurance mechanisms are becoming productized with prioritized incident response, and legal intelligence is being embedded into MSP workflows. Vendors like N-able, Monjur, SentinelOne, and DocuSign are directly integrating financial, legal, and governance functions into their offerings, fundamentally altering client and vendor relationships. Adjacent stories illustrate volatility in traditional safeguards and the operational reality of adaptive threats. CISA leadership changes indicate instability in public response institutions. AI-powered malware exemplifies the challenge: ESET's PromptSpy uses Gemini to continuously adapt its persistence, outpacing static detection models. Insurance underwriters are increasingly demanding machine-verifiable evidence of controls, using detailed questionnaires to distinguish autonomous AI from marketing claims. The risk is no longer just technical; it is structural. For MSPs and IT leaders, operational posture is now shaped by an ecosystem of embedded warranties, legal terms, governance requirements, and adaptive threats. The ability to document, defend, and productize risk controls becomes a baseline for credibility and insurance eligibility. Failure to build evidence pipelines and clarify vendor-imposed liabilities exposes service providers to compounded risk. The practical implication is a necessity for MSPs to treat governance and detection as measurable, documented capabilities—not assumptions or routine paperwork. Three things to know today: 00:00 CISOs Own Governance, Detectors Lag Fakes, Response Gets Contracted — Accountability Follows 03:14 N-able, SentinelOne, DocuSign Move Risk Management Into the Stack — MSP Terms Follow 05:10 CISOs Want Agentic AI, But Insurers and Adaptive Malware Are Forcing the Timeline 07:32 Why Do We Care?  Supported by:  CometBackUpSmall Biz Thoughts Community

Shoot us a Text.Episode #1284: Today we're looking at Carvana quietly buying franchised dealerships, GM reshaping used-car sales around CarBravo, and Google's newest AI image model.Carvana is continuing its quiet march into the franchised dealer world. The online used-car giant just bought another Stellantis dealership near Boston—its sixth in about a year—raising eyebrows across the industry and hinting at a bigger strategy to capture inventory, service revenue, and customer proximity.The company has rapidly built a cluster of CDJR stores across the country including locations in California, Arizona, Georgia, and Texas, spending about $160 million on five of them.Stellantis recently added a rule limiting buyers to one CDJR dealership per year, a move some believe may be aimed at slowing consolidation from players like Carvana.Analysts say the strategy likely centers on access to trade-ins, parts, service revenue, and more used-car inventory to feed Carvana's core online business.CEO Ernie Garcia hinted at bigger ambitions saying: “The opportunities around us feel really, really, really big.”In a bid to compete with online disruptors like Carvana, GM is restructuring how its dealers sell pre-owned vehicles. The shift centers on pushing dealers toward GM's CarBravo platform and dramatically expanding what qualifies for a factory-backed warranty.GM is dissolving its long-running certified pre-owned program structure for Chevrolet, Buick, and GMC dealers, asking them to move used vehicle sales under its CarBravo national online marketplace starting in June.Dealers must use CarBravo if they want to sell used GM vehicles with factory-backed warranties, while Cadillac will keep its traditional certified pre-owned program.The program expands eligibility dramatically—even non-GM vehicles and cars up to 15 years old could qualify for warranties, far beyond today's typical five-year CPO limit.GM says the goal is to increase used-car inventory flowing through dealerships and capture demand in a market where 40M used cars sell annually vs. ~16M new vehicles.Mohawk Chevrolet president Andy Guelcher says the platform expanded reach: “I'm talking to people that I've never spoken to before.”Google just rolled out Gemini 3.1 Flash Image—aka Nano Banana 2—combining faster generation with the consistency needed for real production use.Google's Gemini 3.1 Flash Image merges the intelligence of its Pro image model with the speed of its Flash architecture, making high-quality image generation fast enough for everyday workflows.The model pulls real-time knowledge from the web, meaning generated images can reflect current information rather than static training data.It can maintain consistent characters across five people and track up to 14 objects, enabling multi-frame campaigns and repeatable branded assets.Today'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/

Jaime Hunt sits down with Jason Smith, Founder and Managing Director of OHO, to unpack how AI in higher education is fundamentally changing the way students search for colleges. As AI tools like ChatGPT and Gemini increasingly shape the student journey, institutions must rethink their approach to SEO for higher education and digital visibility. Jason introduces OHO's new AI Visibility Scorecard and shares eye-opening insights into where AI models pull information from—and why that matters for enrollment marketers. This conversation challenges higher ed leaders to move beyond traditional search strategies and prepare for an AI-driven future of student recruitment. Guest Name: Jason Smith, Founder and Managing Director of OHO Guest Social: https://www.linkedin.com/in/jasonsmith1/ Guest Bio: Jason is the Founder and Managing Director of OHO, a leading digital agency dedicated to higher education. For over 20 years, he has led a team of strategists, designers, UX researchers, marketers, and developers who help colleges and universities solve complex digital challenges—from launching major websites to driving enrollment through digital marketing.  A former designer and creative director, Jason brings a deep appreciation for how storytelling, design, and technology can work together to reach the right audiences and move institutions forward. He's worked with 37 of the top 100 U.S. colleges and universities, guiding leaders through projects that clarify their goals, connect with users, and elevate their digital presence.  Endlessly curious and always inventing, Jason is currently digging deep into how to increase AI visibility for colleges and universities so that they can reach prospective students. - - - -Connect With Our Host:Jaime Hunthttps://www.linkedin.com/in/jaimehunt/https://twitter.com/JaimeHuntIMCAbout The Enrollify Podcast Network:Confessions of a Higher Ed CMO is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, host Christopher Robbins welcomes Kelly Conroy, a picture book writer and poet who is the cousin of Jan and Stan Berenstain, creators of the Berenstain Bears. Kelly discusses her new children's board book "I See You in the Stars," which explores the twelve signs of the zodiac in a fun, educational way for families. The conversation delves into how Kelly was inspired to create a rhyming guide to help people memorize the zodiac signs, similar to learning the 50 states alphabetically. Kelly shares fascinating astronomical facts about how the zodiac constellations work, including the surprising detail that you cannot see your own birth constellation during your zodiac period because the sun blocks it from Earth's view. The episode emphasizes learning together as a family and finding positive attributes in each zodiac sign to build self-esteem and connection to the universe. Episode Highlights 00:00:10: Christopher introduces the Helping Families Be Happy podcast and welcomes guest, Kelly Conroy, a picture book writer who is 50% silly fun-loving kid and 50% analytical former actuary, and cousin to the creators of the Berenstain Bears. 00:01:39: Kelly thanks Christopher for having her on the podcast. 00:01:40: Christopher asks Kelly about the inspiration behind her children's book "I See You in the Stars," which explores the signs of the zodiac. 00:01:53: Kelly explains she's always been fascinated by stars, astronomy, and astrology from a place of curiosity rather than expertise, and was inspired by a song that helps people memorize all 50 states alphabetically to create a similar rhyming system for the zodiac signs. 00:02:33: Christopher shares that he used to know all 50 states but couldn't name all 12 zodiac symbols anymore, though he knows he's a Sagittarius and has noticed common traits among people with that sign. 00:02:56: Kelly humorously notes that Sagittarius was the hardest sign to find positive aspects for, describing them as strong-willed and focused on doing what they want, which are great qualities but not always easy for others, relating it to her oldest son who is also a Sagittarius. 00:03:18: Christopher agrees that every Sagittarius he's met is very strong-willed and finds ways to do what they want, though these traits can be tempered. 00:03:32: Kelly adds that Sagittarians are also honest and funny, which is what she focused on in the book. 00:03:37: Christopher asks Kelly to explain how she added descriptions and characteristics to make the zodiac rhyme work in her book. 00:03:53: Kelly describes her process of starting with just the signs, then adding details like describing Scorpio as having a "forceful tale," and eventually expanding to include symbols, positive characteristics, and seasons as readers wanted to know more about their signs. 00:04:35: Christopher asks Kelly to help explain where the zodiac sign symbols come from and what they represent. 00:04:49: Kelly explains that the zodiac starts with Aries on the first day of spring, and the way zodiac signs work is that the constellation is opposite the sun from Earth's standpoint, meaning it's the one you can't see during that period. 00:05:48: Christopher realizes and confirms with Kelly that during his birth month in November, he cannot see the Sagittarius constellation because the sun blocks it. 00:06:21: Kelly clarifies that while you can't see your constellation during your sign period, astrologers say "the sun is in Sagittarius" during that time. 00:06:34: Christopher finds this information really interesting and realizes most people probably didn't know this fact, which also explains the relationship between zodiac signs and seasons. 00:06:47: Kelly confirms that Sagittarius is a fall sign, with winter starting in December. 00:06:48: Christopher asks Kelly about the most interesting things she learned during her research about the zodiac or people's interest in their signs. 00:07:07: Kelly shares that more people were excited to learn about their signs than she expected, and if she left out details of any sign, someone with that sign would ask about it, noting that the book applies to everybody rather than having separate books for each sign. 00:07:53: Christopher asks for confirmation that Kelly said Sagittarians have a personality trait of being funny. 00:07:57: Kelly confirms that Sagittarians are honest and funny. 00:08:00: Christopher jokes that he knows a few Sagittarians who aren't funny at all but acknowledges he is funny so it works for him. 00:08:13: Kelly clarifies that astrology isn't a science like chemistry. 00:08:14: Christopher asks Kelly what sign she is. 00:08:16: Kelly reveals she's a Gemini, the twins, and explains they can have high and low emotions, describing herself as usually either hyper or asleep. 00:08:29: Christopher asks if Kelly has enough information to quickly go through each sign and give the key attribute for each. 00:08:39: Kelly goes through all twelve zodiac signs with their key attributes: Aries are purposeful, Taurus are loyal friends, Gemini are social and playful, Cancer are kind and caring, Leo are good at sharing and leading, Virgo are organized, Libra are balanced, Scorpio are forceful and strong-willed, Sagittarius are honest and funny, Capricorn are focused, Aquarius are studious, and Pisces are sympathetic. 00:09:55: Christopher asks Kelly which sign she would choose to be if she could pick any other than Gemini. 00:10:00: Kelly says she would choose Virgo because the Virgos she knows get stuff done and it would be nice to check more things off her to-do list. 00:10:11: Christopher notes that we can learn from everyone around us and adopt their good attributes while working to improve ourselves. 00:10:33: Kelly shares that her goal aligns with Familius's mission—she wants to make people smile and hopes the book gives people self-esteem and confidence, helping them see they're part of the universe and appreciate the good parts of themselves, their family, and friends. 00:11:05: Christopher notes this aligns with their mission to help families be happy no matter what kind of family they have, then asks where guests can find Kelly online. 00:11:14: Kelly shares that her website is kellyconroy.com and she's most active on Instagram @kellyconroybooks. 00:11:31: Christopher encourages everyone to pick up "I See You in the Stars" published by Familius releasing December 2025, thanks Familius for supporting the podcast, and asks listeners to subscribe and leave reviews, concluding that one zodiac sign at a time, we can make the world a happier place. Key Takeaways Zodiac constellations are positioned opposite the sun from Earth's perspective during their respective periods, meaning you cannot actually see your own birth constellation during your zodiac sign's time frame. The zodiac calendar begins with Aries on the first day of spring and progresses through the seasons, with each sign aligned to specific times of the year. While astrology isn't a hard science, exploring zodiac signs can be a fun way for families to learn together, build self-esteem, and appreciate positive personality traits in themselves and others. Creating educational content for children works best when it's accessible to everyone rather than segmented, and adding rhyme and rhythm helps with memorization and engagement. Teaching children about astronomy and their connection to the universe can help them develop confidence and a sense of belonging to something larger than themselves. Quotable Moments -"My goal in life is to make people smile." -"When I realized that Sagittarius and Aquarius rhyme, I knew I was gonna be able to pull it off." -"The constellation is opposite the sun from the standpoint of the earth at that time. So it's the one you can't see." -"More people were excited to learn about their signs than I thought they were." -"The whole universe is one universe, we're part of the universe. It's all the same matter, and it's just amazing and wonderful." -"One zodiac sign at a time. We can make the world a happier place."

Discover what the stars have aligned for you today. Whether you are looking for clarity in your love life, seeking direction in your career, or simply need a moment of mindfulness to start your morning, this reading offers the cosmic guidance you need to navigate today with confidence. In today's episode, we cover: Love and Relationships: Insight into how today's planetary alignment affects your romantic connections, family dynamics, and social life. Find out if it's a day for communication or a day for reflection. Career and Finance: Practical astrological advice for your professional life. We explore opportunities for growth, financial caution, and productivity tips tailored to the unique energy of your Zodiac Sign. Personal Growth and Wellness: Daily affirmations and spiritual guidance to help you stay grounded. Learn how to harness the energy of the moon and the planets to improve your mental and emotional well-being. Why Listen to Your Daily Horoscope? Astrology is more than just prediction; it is a tool for self-discovery and mindfulness. By tuning into the cosmic climate, you can align your actions with the universe's energy. Our daily episodes are short, actionable, and designed to help you live your best life, every single day. Connect with the Cosmos: If this episode resonated with you, please subscribe and leave a review! Your support helps us bring daily celestial wisdom to listeners around the world. Disclaimer: The information and astrological interpretations in this podcast are for entertainment purposes only. Listeners are encouraged to use their own discretion and should not replace professional medical, legal, or financial advice with the content of this show.

In today's Madtech Daily, we cover Meta trialling an AI shopping tool to challenge ChatGPT, Google planning to fill 150 tech roles in Singapore, Gemini, and eBay cutting 800 jobs, 6% of its workforce.

Apple continues its week of product refreshes, now with MacBooks, now with new M5 Pro and M5 Max chips. People continue to get rich frontrunning news on the betting markets. And Sam Altman says, no, sorry, we rushed things. The government swears it won't use our AI for mass surveillance after we asked them nicely not to. Apple announces M5 MacBook Air with 2x storage, $1099 starting price (9to5Mac) Apple Unveils MacBook Pro Featuring M5 Pro and M5 Max Chips With New Fusion Architecture (MacRumors) Apple unveils M5 Pro and M5 Max chips with new ‘Fusion Architecture' (TechCrunch) Polymarket Iran Bets Hit $529 Million as New Wallets Win Big (Bloomberg) Google unveils cost-efficient AI model Gemini 3.1 Flash-Lite (SeekingAlpha) Audible Launches Cheaper Plan to Appeal to Streaming Audiences (Bloomberg) OpenAI makes changes to ‘opportunistic and sloppy' Pentagon deal (Financial Times) Learn more about your ad choices. Visit megaphone.fm/adchoices

Quick Howto: ZIP Files Inside RTF https://isc.sans.edu/diary/Quick+Howto+ZIP+Files+Inside+RTF/32696/#comments Keeping the Internet fast and secure: introducing Merkle Tree Certificates https://blog.cloudflare.com/bootstrap-mtc/ Taming Agentic Browsers: Vulnerability in Chrome Allowed Extensions to Hijack New Gemini Panel https://unit42.paloaltonetworks.com/gemini-live-in-chrome-hijacking/

Is Bitcoin just "number go up?" Or is it something far bigger? Natalie Brunell sits down with Africa Bitcoin Corporation Executive Chairman Stafford Masie explore why Bitcoin adoption in Africa looks radically different than in the West. While many investors focus on price volatility, Africans are using Bitcoin as money ... as a lifeline against debasement, capital controls, and broken banking systems. We discuss: Why Bitcoin is money in Africa, not just "store of value" 1 Bitcoin = 5 African jobs  Stablecoins vs Bitcoin adoption Lowering capital costs with Bitcoin The human yield flywheel Follow Stafford Masie on X https://x.com/staffordmasie  ---- Order Natalie's new book "Bitcoin is For Everyone," a simple introduction to Bitcoin and what's broken in our current financial system: https://amzn.to/3WzFzfU  --- Coin Stories is powered by Gemini. Invest as you spend with the Gemini Credit Card. Sign up today to earn a $200 intro Bitcoin bonus. The Gemini Credit Card is issued by WebBank. See website for rates & fees. Learn more at https://www.gemini.com/natalie  ---- Ledn is the global leader in Bitcoin-backed loans, issuing over $9 billion in loans since 2018, and they were the first to offer proof of reserves. With Ledn, you get custody loans, no credit checks, no monthly payments, and more. Get .25% off your first loan, learn more at https://www.Ledn.io/natalie  ---- Earn passive Bitcoin income with industry-leading uptime, renewable energy, ideal climate, expert support, and one month of free hosting when you join Abundant Mines at https://www.abundantmines.com/natalie  ---- Natalie's Bitcoin Product Partners: For easy, low-cost, instant Bitcoin payments, I use Speed Lightning Wallet. Play Bitcoin trivia and win up to 1 million sats! Download and use promo code COINSTORIES10 for 5,000 free sats: https://www.speed.app/coinstories  Block's Bitkey Cold Storage Wallet was named to TIME's prestigious Best Inventions of 2024 in the category of Privacy & Security. Get 20% off using code STORIES at https://bitkey.world   Master your Bitcoin self-custody with 1-on-1 help and gain peace of mind with the help of The Bitcoin Way: https://www.thebitcoinway.com/natalie  With BitcoinIRA, you can invest in bitcoin 24/7 inside a tax-advantaged IRA. Choose a Traditional IRA to defer taxes, or a Roth IRA for tax-free withdrawals later. Take control of your future with BitcoinIRA: https://www.bitcoinira.com/natalie  Natalie's Upcoming Events: Bitcoin 2026 will be here before you know it. Get 10% off Early Bird passes using the code HODL: https://tickets.b.tc/event/bitcoin-2026?promoCodeTask=apply&promoCodeInput=  Strategy World 2026 in Las Vegas on February 23-26th - Use code HODL for discounted tickets: https://www.strategysoftware.com/world26    Extra Services to Consider: Protect yourself from SIM Swaps that can hack your accounts and steal your Bitcoin. Join America's most secure mobile service, trusted by CEOs, VIPs and top corporations: https://www.efani.com/natalie   Ditch your fiat health insurance like I did four years ago! Join me at CrowdHealth: www.joincrowdhealth.com/natalie  ---- This podcast is for educational purposes and should not be construed as official investment advice. ---- VALUE FOR VALUE — SUPPORT NATALIE'S SHOWS Strike ID https://strike.me/coinstoriesnat/ Cash App $CoinStories #money #Bitcoin #investing

Dr. Dave Rakel introduces the ECHO model for medical decision making, a practical framework that evaluates four key factors: Efficacy (evidence of benefit), Cost, Harm (evidence of harm), and Opinion (patient preferences and bias). He emphasizes that treatment decisions should balance not only how well something works, but also its potential risks and its alignment with patient values.He explains his evidence-versus-harm rating system, grading evidence from A to C and potential harm from 1 to 3. The ideal intervention has strong evidence with minimal harm, but he notes that therapies with moderate evidence and low risk may often be preferable to those with stronger evidence and greater potential harm.Dr. Rakel also discusses the growing role of AI in medicine, comparing tools like Gemini, Perplexity, and Open Evidence. While AI can assist with research, he stresses that informed clinicians who use these tools thoughtfully achieve the best outcomes.Finally, he shares clinical insights, including the use of low-dose naltrexone for fibromyalgia, the broad utility of amitriptyline, the cognitive risks associated with anticholinergic burden, and research linking processed foods, alcohol, and sugar to cognitive decline—while showing that shifting toward whole foods may significantly reduce that risk.This guest speaker Master Class is part of the Kharrazian Institute Functional Medicine Education Program. To become a Certified Functional Medicine practitioner, visit https://kharrazianinstitute.com/⁠. Try our 7-day free trial, no credit card required. 00:00 "Balancing Evidence and Harm"05:52 "Integrative Medicine: Art and Science"08:16 "PPI Use: Risks and Bias"10:03 "Risks of Long-Term PPI Use"15:06 "Top Drugs for Fibromyalgia"17:04 "Life's Essential 9 Explained"21:22 "Optimizing Health to Prevent Dementia"23:51 Best and Worst Brain Beverages29:13 Functional Medicine Training ResourcesSupport this show http://supporter.acast.com/solving-the-puzzle-with-dr-datis-kharrazian. Hosted on Acast. See acast.com/privacy for more information.

Get Matt's AI Playbook: https://clickhubspot.com/rku Episode 99: What happens when a leading AI company takes a stand against the U.S. government's demands? Join Matt Wolfe (https://x.com/mreflow) and Joe Fier (linkedin.com/in/joefier) as they break down Anthropic's showdown with the Pentagon—and the price of saying no to mass surveillance and autonomous weapons. This episode dives into the high-stakes standoff between Anthropic (creators of Claude) and the U.S. government. Matt and Joe explain why Anthropic's refusal to loosen its AI's ethical guardrails could get them blacklisted as a supply chain risk, and what that unprecedented move means for the entire tech industry. They cover the implications for national security, the tech world's role in military decisions, the Pentagon's shifting alliances with other AI labs, and what it means when Silicon Valley CEOs and government officials are at odds. Plus, they demo the latest AI tools—like Google's Nano Banana 2—and dissect the present and future of AI-powered agents and automation, from Perplexity Computer to BK's new “Patty” assistant. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Anthropic, AI, and Pentagon Tensions (05:30) AI Tools & Military Decisions Debate (06:51) Pentagon Targets Anthropic as Risk (10:01) Anthropic's Exclusive Government Access (14:07) AI Amplifying Government Surveillance Concerns (16:44) AI Safety: Shared Goals, Different Paths (23:05) Nano Banana 2: Faster Images (23:48) Nano Banana 2: Enhanced Generation (27:15) Struggling to Achieve 4K (30:01) Gemini Settings and Performance (33:46) AI Testing and Limitations (36:45) Trump Blacklists Anthropic AI (41:57) Crazy Viral Videos Recap (45:07) Nano Banana 2: Free Everywhere (46:49) Cloud-Based Model Switching (49:15) AI Agents Expand Capabilities (52:50) Burger King Employee Monitoring Tech (56:35) Politeness Tracker's Future Impact (58:43) Unfiltered Updates and Insights — Mentions: Joe Fier: https://www.instagram.com/joefier/ OpenClaw: https://openclaw.ai/ Manus: https://manus.im/ Nano Banana 2: https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/ Perplexity: https://www.perplexity.ai/ Claude: https://claude.ai/ Gemini: https://gemini.google.com/app Cursor: https://cursor.com/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

The hosts preview an upcoming Patreon episode about self-hosted, locally run AI for clients who want AI-powered editing without sending sensitive content to cloud services like ChatGPT, Gemini, or Claude. Jerry describes setting up a local AI system for a client to refresh medically based academic writings while keeping privacy, noting most of the solution was free aside from the computer, and contrasts this with internet-connected autonomous AI bots that require credentials and could be influenced by other bots online. The conversation broadens into Patreon topics about business operations, client attrition and return, and discussing sensitive client situations more freely.   They discuss hardware and product preferences, including choosing iPhone models (with repeated recommendations for an iPhone Pro), interest in a MacBook with built-in cellular to avoid carrier hotspot throttling, and debates about MacBook Pro battery life versus MacBook Air. Sam explains he switched work email to Outlook on Mac and iPhone due to Apple Mail reliability issues and to better separate work from personal notifications, while others compare Apple Mail smart mailboxes to Outlook's saved searches and discuss organizing workflows with smart folders and flags.   Sam recounts testing whether an iPad could serve as a second travel workstation for a client who relies on an on-prem Mac server (SMB file sharing and FileMaker Server). They run into clunky SMB workflows in iPad Files/Word, inability to favorite deep SMB paths, OneDrive-first behavior in Word, and a FileMaker version mismatch where an older iPad (limited to iOS 16) can't connect to the newer FileMaker server. They consider shortcuts like web clips but conclude a second MacBook would be simpler.   The episode also covers a bug on iOS/macOS 26 where Microsoft 365 accounts in Apple's native Internet Accounts setup appear authenticated but don't actually work, leading them to use Outlook as a workaround and consider resetting MFA/credentials. They close with a story about extending the usability of a 10-year-old MacBook Pro by installing Firefox ESR, and discuss typical Mac lifespan expectations and guidance for clients on replacement timelines.   00:00 Self‑Hosted AI Teaser: Keeping Client Content Private 02:20 Wild West AI Agents: Credentials, Bot Networks & Security Risks 03:34 On‑Prem vs Cloud (and Why VPN Matters) 05:19 Patreon Plug: Business Ops, Client Attrition & "Juicy Stories" 08:16 iPhone Upgrade Debate: Pro vs Air, Foldables & Pro Cameras 09:04 Dream MacBook Features: Built‑In Cellular, OLED & Battery Life 15:42 Switching Mail Clients: Outlook for Work, Sanity on iPhone 18:28 Email Overload & Smart Mailboxes: Apple Mail vs Outlook Searches 26:56 iPad as a Work Device? Real‑World Client Scenarios 29:02 Why the On‑Prem Mac Server Can't Be Easily Replaced (SMB, Screen Sharing, FileMaker) 29:52 iPad + SMB Shares: VPN Access Works, But Favorites and Navigation Don't 31:38 Editing Word Docs from a Server: Share Sheet Confusion & Save Behavior 32:25 OneDrive Defaults, Hazel Watch-Folder Ideas, and the "Just Use a MacBook Air" Moment 34:21 Shortcut Hack: Using Web Clips to Jump Straight to Deep Server Folders 36:13 The Dealbreaker: Old iPadOS vs New FileMaker Server Compatibility 37:43 Remote Setup via MDM + VPN Profile (and the Keyboard/Mouse Reality Check) 39:11 Multitasking Limits on iPadOS 16: Split View vs Modern Windowed Apps 41:32 Microsoft 365 Login Bug on iOS/macOS 26: No Password Prompt, Account Weirdness 46:04 Workarounds and Client Perception: "Just Use Outlook" (and Why That Stings) 47:53 Wrapping Up: Keeping Old Macs Alive (Firefox ESR) and How Long Apple Silicon Will Last 52:50 Final Thoughts & Sign-Off

Our 235th episode with a summary and discussion of last week's big AI news!Recorded on 02/27/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Model and tool updates highlight Anthropic's Sonnet 4.6 (1M context; strong ARC-AGI-2 results), Google's Gemini 3.1 Pro (major ARC-AGI-2 jump and multimodal demos), xAI's Grok 4.2 beta (multi-agent debate), plus Anthropic's Claude Code “Remote Control” and Perplexity's multi-agent “Computer” coordinator.Compute and business moves include Meta's reported up-to-$100B AMD chip deal with warrant/equity incentives, MatX raising $500M to build specialized transformer chips shipping in 2027, World Labs raising $1B for world-model/3D environment tech, and a new startup raising $100M to simulate/predict human behavior.Infrastructure and geopolitics cover Stargate data-center delays amid OpenAI/Oracle/SoftBank control disputes and cash concerns, and China's plan to scale 7nm/5nm wafer output despite yield and tooling constraints.Research and safety/policy discuss optimizer gains from masked updates, “deep thinking tokens” as a reasoning-effort signal, LLM attractor-state behaviors in bot-to-bot chats, mechanistic interpretability of counting/line-wrapping, methods to map task difficulty to human time horizons, plus Anthropic–Pentagon contract tensions, Anthropic's report on distillation attacks (DeepSeek/Moonshot/Minimax), and OpenAI's report on disrupting malicious use.A thank you to our current sponsors:Box - visit Box.com/AI to learn moreODSC AI - go to odsc.ai/east and use promo code LWAI for an additional 15% off your pass to ODSC AI East 2026.Factor - head to factormeals.com/lwai50off and use code lwai50off to get 50 percent off and free breakfast for a yearTimestamps:(00:00:10) Intro / Banter(00:01:52) News PreviewTools & Apps(00:03:20) Anthropic releases Sonnet 4.6 | TechCrunch(00:11:24) Google Rolls Out Latest AI Model, Gemini 3.1 Pro - CNET(00:14:54) Elon Musk says Grok 4.20 public beta is now available: Capabilities of AI chatbot offered by xAI - The Times of India(00:18:06) Anthropic just released a mobile version of Claude Code called Remote Control | VentureBeat(00:21:01) Perplexity announces "Computer," an AI agent that assigns work to other AI agents - Ars TechnicaApplications & Business(00:23:40) Meta strikes up to $100B AMD chip deal as it chases 'personal superintelligence' | TechCrunch(00:27:05) Nvidia challenger AI chip startup MatX raised $500M | TechCrunch(00:31:00) World Labs lands $1B, with $200M from Autodesk, to bring world models into 3D workflows | TechCrunch(00:33:07) Simile Raises $100 Million for AI Aiming to Predict Human Behavior(00:33:52) Stargate AI data centers for OpenAI reportedly delayed by squabbles between partners — sources say OpenAI, Oracle, and SoftBank disagreed on who would have ultimate control of the planned data centers(00:36:43) China to increase leading-edge chip output by 5x in two years, report claims — aims to lift 7nm and 5nm production to 100,000 wafers per month, targeting half a million monthly by 2030Research & Advancements(00:40:33) On Surprising Effectiveness of Masking Updates in Adaptive Optimizers(00:48:03) Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens(00:54:52) models have some pretty funny attractor states(01:01:41) When Models Manipulate Manifolds: The Geometry of a Counting Task(01:05:16) BRIDGE: Predicting Human Task Completion Time From Model Performance(01:12:00) NESSiE: The Necessary Safety Benchmark -- Identifying Errors that should not Exist(01:13:15) The least understood driver of AI progress(01:21:45) The Persona Selection Model: Why AI Assistants might Behave like HumansPolicy & Safety(01:25:04) Anthropic CEO Amodei says Pentagon's threats 'do not change our position' on AI(01:33:04) Musk's xAI, Pentagon reach deal to use Grok in classified systems(01:34:17) Detecting and preventing distillation attacks(01:38:36) OpenAI details expanding efforts to disrupt malicious use of AI in new report - SiliconANGLESee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What does a Lion King–level director really think about AI “slop,” streaming wars and whether machines can ever tell great stories? On this episode of the AI XR Podcast, Charlie Fink and Ted Schilowitz talk with Rob Minkoff, director of The Lion King, Stuart Little, The Haunted Mansion, Forbidden Kingdom and Paws of Fury, about the future of filmmaking as AI, streaming consolidation and new tools reshape the business.Rob shares how he watched Netflix “eat Hollywood” by doing streaming better than the legacy studios, why Netflix walking away from Warner Bros. and letting Paramount overpay is bad news for creators, and what fewer buyers means for directors and writers trying to sell original work. He explains why he sees AI tools like Seed Dance as potentially both iceberg and Noah's Ark, and why he believes the average will rise but the cream will still rise higher: tools may let anyone make competent images, but audiences will still chase the one-in-a-thousand voices that have something genuinely new and human to say.In XR News You Should Know, the host cover Anthropic's standoff with the Pentagon over using large, unstable models for high-stakes military decisions, Netflix walking away from a Warner Bros. deal and collecting a breakup fee while Paramount overpays, streaming brand confusion around HBO/Max and Paramount+, VITURE's new raise and its patent fight with XREAL over “birdbath” smart-glasses optics, and Google's Gemini gaining multi-step action capabilities on Samsung and Pixel phones before Apple's Siri catches up.The conversation digs into whether AI will really make feature films cheaper and more common, or just flood social feeds with short-form “AI slop.” Rob compares AI tools to word processors and home recording studios: they are powerful, but they don't turn you into Bruce Springsteen or Steven Spielberg. He argues that empathy, taste and genuinely fresh perspective will remain the differentiators, and that audiences will quickly tune out work that feels derivative, even if it looks slick. He also raises a bigger question: if AI drives productivity to the point where work is optional for many people, what happens to purpose, competition and the human psyche?Key Moments01:16 – Anthropic vs. the Pentagon and why unstable AI systems may never meet military safety standards02:42 – Netflix exits the Warner Bros. deal, collects a breakup fee and leaves Paramount holding the bag05:31 – HBO, Max, Paramount+ branding confusion and what happens to these streaming labels06:00 – VITURE's $100M raise, XREAL patent lawsuits and the simple science behind “birdbath” smart glasses07:31 – Why Miami is becoming a new tech and defense hub and what that signals about America's “neighborhood”10:00 – Seed Dance 2.0, Hollywood's deepfake panic and the “ship first, apologize later” strategy15:16 – Rob joins: 34 years in film, Netflix “eating Hollywood” and what consolidation means for creators19:18 – Seed Dance, stolen IP and whether AI tools are an iceberg or Noah's Ark for filmmakers24:39 – Can AI become a true “prophet,” or can it only emulate empathy and taste?30:57 – Will AI make many more animated movies or just flood the world with average content?37:32 – If AI does most of the work, what's left for humans—and can entertainment absorb all that free time?This episode is a grounded, filmmaker's view of where AI fits: powerful tools, real risks, but no substitute for a human vision that cuts through the noise. Rob's perspective is invaluable if you're trying to understand what will actually matter in a world where everyone can generate “good enough” images on demand.This episode is brought to you by Zappar, creators of Mattercraft, the leading visual development environment for building immersive 3D web experiences for mobile, headsets and desktop. To explore what's possible with AI-powered XR on the web, start building smarter with Mattercraft from Zappar at Mattercraft.io.Listen to the AI XR Podcast where you get podcasts and follow the show for new episodes every week. Or watch on YouTubeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Anthropic's clash with the Pentagon pits tech ethics against government demands, raising explosive questions about AI's role in surveillance and weaponry. If you care about who controls the future of artificial intelligence, this episode is a must-listen. Sam Altman says OpenAI shares Anthropic's red lines in Pentagon fight The whole thing was a scam OpenAI allows NSA to use GPT for surveilling Americans Anthropic's Claude hits No. 1 on Apple's top free apps list after Pentagon rejection Layoffs at Block Crypto exchange Gemini plans to lay off up to 200 staff, exit Europe, and Australia Netflix Backs Out of Bid for Warner Bros., Paving Way for Paramount Takeover An update on our model deprecation commitments for Claude Opus 3 Anthropic Keep Android Open Colorado moves age checks from websites to operating systems | Biometric Update Open source calculator firmware DB48X forbids CA/CO use due to age verification New Apple product launch starts Monday, Tim Cook confirms Everything announced at Samsung Unpacked: The Galaxy S26 Ultra, Galaxy Buds 4 and more Here's how the new Samsung Galaxy S26 compares with last year's S25 Hacked Prayer App Sends 'Surrender' Messages to Iranians Amid Israeli and US Strikes The Big One: The cyberattack scenarios that keep officials up at night CISA replaces acting director after a bumbling year on the job New AirSnitch attack bypasses Wi-Fi encryption in homes, offices, and enterprises Victory! Tenth Circuit Finds Fourth Amendment Doesn't Support Broad Search of Protesters' Devices and Digital Data Enthusiasts used their home computers to search for ET—scientists are homing in on 100 signals they found Americans now listen to podcasts more often than talk radio, study shows | TechCrunch Burger King Will Use AI To Check If Employees Say 'Please' and 'Thank You' Uber Previews Its Dubai Air Taxi Service - Slashdot Rob Grant, creator of Red Dwarf, has died Dan Simmons, author of Hyperion, Song of Kali, dead at 77 Host: Leo Laporte Guests: Molly White, Owen Thomas, and Harry McCracken Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit expressvpn.com/twit canary.tools/twit - use code: TWIT ZipRecruiter.com/twit helixsleep.com/twit

Discover how stocks react after military conflicts.  Are you on track for financial freedom...or not? Financial freedom is a combination of money, compounding and time (my McT Formula). How well you invest can make the biggest difference to your financial freedom and lifestyle. If you invested well for the long-term, what a difference it would make because the difference between investing $100k and earning 5 percent or 10 percent on your money over 30 years, is the difference between it growing to $432,194 or $1,744,940, an increase of over $1.3 million dollars. Your compounding rate, and how well you invest, matters!  INVESTING IS WHAT THE BE WEALTHY & SMART VIP EXPERIENCE IS ALL ABOUT - Invest in digital assets and stock ETFs for potential high compounding rates - Receive an Asset Allocation model with ticker symbols and what % to invest -Monthly LIVE investment webinars with Linda 10 months per year, with Q & A -Private VIP Facebook group with daily community interaction -Weekly investment commentary -Extra educational wealth classes available -Pay once, have lifetime access! NO recurring membership fees. -US and foreign investors are welcome -No minimum $ amount to invest -Tech Team available for digital assets (for hire per hour) For a limited time, enjoy a 50% savings on my private investing group, the Be Wealthy & Smart VIP Experience. Pay once and enjoy lifetime access without any recurring fees. Enter "SAVE50" to save 50%here: http://tinyurl.com/InvestingVIP Or set up a complimentary conversation to answer your questions about the Be Wealthy & Smart VIP Experience. Request an appointment to talk with Linda here: https://tinyurl.com/TalkWithLinda (yes, you talk to Linda!). SUBSCRIBE TO BE WEALTHY & SMART Click Here to Subscribe Via iTunes Click Here to Subscribe Via Stitcher on an Android Device Click Here to Subscribe Via RSS Feed LINDA'S WEALTH BOOKS 1. Get my book, "3 Steps to Quantum Wealth: The Wealth Heiress' Guide to Financial Freedom by Investing in Cryptocurrencies". 2. Get my book, "You're Already a Wealth Heiress, Now Think and Act Like One: 6 Practical Steps to Make It a Reality Now!" Men love it too! After all, you are Wealth Heirs. :) International buyers (if you live outside of the US) get my book here. WANT MORE FROM LINDA? Check out her programs. Join her on Instagram. WEALTH LIBRARY OF PODCASTS Listen to the full wealth library of podcasts from the beginning.  SPECIAL DEALS #Ad Apply for a Gemini credit card and get FREE XRP back (or any crypto you choose) when you use the card. Charge $3000 in first 90 days and earn $200 in crypto rewards when you use this link to apply and are approved: https://tinyurl.com/geminixrp This is a credit card, NOT a debit card. There are great rewards. Set your choice to EARN FREE XRP! #Ad Protect yourself online with a Virtual Private Network (VPN). Get 3 MONTHS FREE when you sign up for a NORD VPN plan here.  #Ad To safely and securely store crypto, I recommend using a Tangem wallet. Get a 10% discount when you purchase here. #Ad If you are looking to simplify your crypto tax reporting, use Koinly. It is highly recommended and so easy for tax reporting. You can save $20, click here. Be Wealthy & Smart,™ is a personal finance show with self-made millionaire Linda P. Jones, America's Wealth Mentor.™ Learn simple steps that make a big difference to your financial freedom.  (This post contains affiliate links. If you click on a link and make a purchase, I may receive a commission. There is no additional cost to you.)  

In Episode 104 of the Digital Velocity Podcast, Pat Barry joins Erik Martinez for a fast-moving, practical conversation about how to build "individual capability with AI" as the foundation for stronger teams. Rather than treating AI like a one-time experiment, Erik and Pat focus on how capability is built through repetition, discipline, and real workflow reps (repetitions). Pat shares how his learning process evolved from "watching videos on YouTube" and "Googling stuff" to using LLMs like Gemini or Chat GPT for guided learning: "I just tell it what I wanna learn, and then I tell it, ask me more questions so I can, kind of tailor this to myself." A major theme is the reality of time constraints for marketers, agency leaders, and DTC operators juggling "a bajillion things on your plate." Pat breaks down how he makes progress anyway: "I use time boxing," and "I'll block off just an hour on my calendar," then stick to it. Erik ties the mindset back to coaching, reminding listeners that "you gotta do more reps" to actually improve, whether it's "short hops" at work or getting better outputs from AI. Listeners will learn: ·         How to use LLMs for guided learning by having them "ask me more questions" ·         Why "going and doing" beats passive consumption when AI changes constantly ·         How "time boxing" creates space to practice without adding chaos to your week ·         Why confidence is built through iteration and verification — not perfect first prompts ·         How individual capability becomes the bedrock for scaling AI across a team If you're leading a DTC brand, running an agency, or managing a marketing team, Episode 104 is a must-listen for anyone who wants AI adoption to translate into real execution — not tool overload. As Pat puts it, "You're never gonna start unless you start doing."

Anthropic's clash with the Pentagon pits tech ethics against government demands, raising explosive questions about AI's role in surveillance and weaponry. If you care about who controls the future of artificial intelligence, this episode is a must-listen. Sam Altman says OpenAI shares Anthropic's red lines in Pentagon fight The whole thing was a scam OpenAI allows NSA to use GPT for surveilling Americans Anthropic's Claude hits No. 1 on Apple's top free apps list after Pentagon rejection Layoffs at Block Crypto exchange Gemini plans to lay off up to 200 staff, exit Europe, and Australia Netflix Backs Out of Bid for Warner Bros., Paving Way for Paramount Takeover An update on our model deprecation commitments for Claude Opus 3 Anthropic Keep Android Open Colorado moves age checks from websites to operating systems | Biometric Update Open source calculator firmware DB48X forbids CA/CO use due to age verification New Apple product launch starts Monday, Tim Cook confirms Everything announced at Samsung Unpacked: The Galaxy S26 Ultra, Galaxy Buds 4 and more Here's how the new Samsung Galaxy S26 compares with last year's S25 Hacked Prayer App Sends 'Surrender' Messages to Iranians Amid Israeli and US Strikes The Big One: The cyberattack scenarios that keep officials up at night CISA replaces acting director after a bumbling year on the job New AirSnitch attack bypasses Wi-Fi encryption in homes, offices, and enterprises Victory! Tenth Circuit Finds Fourth Amendment Doesn't Support Broad Search of Protesters' Devices and Digital Data Enthusiasts used their home computers to search for ET—scientists are homing in on 100 signals they found Americans now listen to podcasts more often than talk radio, study shows | TechCrunch Burger King Will Use AI To Check If Employees Say 'Please' and 'Thank You' Uber Previews Its Dubai Air Taxi Service - Slashdot Rob Grant, creator of Red Dwarf, has died Dan Simmons, author of Hyperion, Song of Kali, dead at 77 Host: Leo Laporte Guests: Molly White, Owen Thomas, and Harry McCracken Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit expressvpn.com/twit canary.tools/twit - use code: TWIT ZipRecruiter.com/twit helixsleep.com/twit