Podcasts about Skynet

This week, Scott sat down with his Lawfare colleagues Editor in Chief Benjamin Wittes, Public Service Fellow Julia Curlee, and Contributing Editor Alex Zerden to talk through the week's big news in national security, including:“Skynet's the Limit.” A Russian drone guided entirely by onboard artificial intelligence—with no human directing the final strike—appears to have killed three civilians at a gas station in Zaporizhzhia, Ukraine, on July 6, in what experts believe may be the first killings carried out by a fully autonomous Russian weapon. As both armies race toward greater battlefield autonomy—driven in part by electronic warfare that jams the radio links piloted drones rely on—the strike marks a threshold that arms-control experts have long warned about: machines, not people, deciding whom to kill. What do we make of this development, and what does it mean for the laws of war?“Rial Talk.” Earlier this week, Treasury Secretary Scott Bessent unveiled a new round of sanctions on Iran and what he called its “enablers,” branding the campaign “Operation Economic Outcast” and promising an “economic D-Day” aimed at severing every financial lifeline that sustains the regime. The measures target a global network of brokers, shadow-fleet vessels, and firms moving Iranian oil, along with Tehran's access to digital assets, gold, aviation, and shipping—though Bessent conspicuously held back the biggest penalties on some major trading partners like China, favoring “quiet diplomacy” instead. The announcement lands with Iran's currency at record lows and the U.S.-Iran war grinding into its sixth month after a ceasefire window lapsed. Is maximum economic pressure a substitute for military force—and will it actually work?“Sorry, Not Sorry.” Trade talks between Washington and Ottawa collapsed late last week, and at the stroke of midnight on Aug. 21st, President Trump's 50% tariffs on roughly $20 billion in Canadian goods—everything from hockey equipment and furniture to liquor and clothing—took effect. Prime Minister Mark Carney, who blamed the breakdown on last-minute “uneconomic” and “unfair” U.S. demands, vowed to match the tariffs “dollar for dollar” with his own duties on U.S. steel, dairy, appliances, and electronics starting September 8, and went so far as to say Canada is “at war” after being “attacked.” With the future of the USMCA free-trade pact suddenly in doubt, how did two of the world's closest trading partners get here, and where does the escalation go next?In object lessons, Ben is not giving away his shot to call out the Daily Caller on not delivering on its headline. Julia is reminding us of her love of all things Lawfare. Scott reminds us that the world may never be the same after seeing it through the eyes of a poet. And Alex is bobbing his head to his reimagining of Bombs Over Baghdad.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

This week, Scott sat down with his Lawfare colleagues Editor in Chief Benjamin Wittes, Public Service Fellow Julia Curlee, and Contributing Editor Alex Zerden to talk through the week's big news in national security, including:“Skynet's the Limit.” A Russian drone guided entirely by onboard artificial intelligence—with no human directing the final strike—appears to have killed three civilians at a gas station in Zaporizhzhia, Ukraine, on July 6, in what experts believe may be the first killings carried out by a fully autonomous Russian weapon. As both armies race toward greater battlefield autonomy—driven in part by electronic warfare that jams the radio links piloted drones rely on—the strike marks a threshold that arms-control experts have long warned about: machines, not people, deciding whom to kill. What do we make of this development, and what does it mean for the laws of war?“Rial Talk.” Earlier this week, Treasury Secretary Scott Bessent unveiled a new round of sanctions on Iran and what he called its “enablers,” branding the campaign “Operation Economic Outcast” and promising an “economic D-Day” aimed at severing every financial lifeline that sustains the regime. The measures target a global network of brokers, shadow-fleet vessels, and firms moving Iranian oil, along with Tehran's access to digital assets, gold, aviation, and shipping—though Bessent conspicuously held back the biggest penalties on some major trading partners like China, favoring “quiet diplomacy” instead. The announcement lands with Iran's currency at record lows and the U.S.-Iran war grinding into its sixth month after a ceasefire window lapsed. Is maximum economic pressure a substitute for military force—and will it actually work?“Sorry, Not Sorry.” Trade talks between Washington and Ottawa collapsed late last week, and at the stroke of midnight on Aug. 21st, President Trump's 50% tariffs on roughly $20 billion in Canadian goods—everything from hockey equipment and furniture to liquor and clothing—took effect. Prime Minister Mark Carney, who blamed the breakdown on last-minute “uneconomic” and “unfair” U.S. demands, vowed to match the tariffs “dollar for dollar” with his own duties on U.S. steel, dairy, appliances, and electronics starting September 8, and went so far as to say Canada is “at war” after being “attacked.” With the future of the USMCA free-trade pact suddenly in doubt, how did two of the world's closest trading partners get here, and where does the escalation go next?In object lessons, Ben is not giving away his shot to call out the Daily Caller on not delivering on its headline. Julia is reminding us of her love of all things Lawfare. Scott reminds us that the world may never be the same after seeing it through the eyes of a poet. And Alex is bobbing his head to his reimagining of Bombs Over Baghdad.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute. Hosted on Acast. See acast.com/privacy for more information.

This episode Brian and Nez go up against the ultimate killing machine in the 1984 James Cameron sci-fi/action classic THE TERMINATOR. Disguised as a human, a cyborg assassin known as a Terminator (Arnold Schwarzenegger) travels from 2029 to 1984 to kill Sarah Connor (Linda Hamilton). Sent to protect Sarah is Kyle Reese (Michael Biehn), who divulges the coming of Skynet, an artificial intelligence system that will spark a nuclear holocaust. Sarah is targeted because Skynet knows that her unborn son will lead the fight against them. With the virtually unstoppable Terminator in hot pursuit, she and Kyle attempt to escape.   Join The Action Returns Facebook group: https://www.facebook.com/groups/841619946357776 Follow The Action Returns on IG and X: Instagram: @theactionreturns X: @action_returns Check out everything Horror Returns at: https://thehorrorreturns.com Join The Horror Returns Facebook group: https://www.facebook.com/groups/1056143707851246 THR Patreon: https://www.patreon.com/thehorrorreturns Join the THR Presents: Stream Fiends Facebook Group: https://www.facebook.com/groups/3860579827402429 Follow THR Stream Fiends on IG: @thrstreamfiends Hit up E Society on Facebook. https://www.facebook.com/ESocietyPodcast/ ESP Podbean feed: https://macnezpodcast.podbean.com ESP Spotify feed: https://podcasters.spotify.com/pod/show/esoc Mac Nez Podcast on Spotify: https://open.spotify.com/show/7jot3LglMA0EuGTUikXejq?si=21b39da4784e4528 E Society YouTube: https://www.youtube.com/channel/UCliC6x_a7p3kTV_0LC4S10A E Society and Mac-Nez t-shirts Tee Public: http://tee.pub/lic/9ko9r4p5uvE X: E Society Podcast: https://x.com/esocietypod The Zissiou: https://x.com/TheoZissou Instagram: E Society: https://www.instagram.com/esocietypod/ Mac Nez Podcast: https://www.instagram.com/macnez/ The Zissiou: https://www.instagram.com/thezissou/ TikTok: https://www.tiktok.com/@esocietypod  

This year, the Department of Defense announced that they'd entered agreements with eight artificial intelligence companies. It follows decades of popular media exploring the idea of artificial intelligence in war – from the computer threatening global thermonuclear conflict in the movie WarGames to the Skynet neural net in Terminator. In 2026, when Anthropic's Claude and OpenAI's ChatGPT are just a click away, the concept of AI-supported war is suddenly much closer to reality. So what does it really mean for militaries to use AI? And what are the potential implications if they succeed? Short Wave producer Hannah Chinn reports.Listen to the whole Tech Camp series. Interested in more military science and/or tech episodes? Email us your question at shortwave@npr.org.Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show's perks include sponsor-free listening. Learn more at plus.npr.org.See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

Brian, Blake, and Richard are back for Episode 630 of the Chasing Tone Podcast - Why do some people fake playing guitar, AI stupidity, and That Pedal Show made us do itThe heat is on, Brian may or may not have melted into a puddle of tiny miniature Brians, and the guys are wrestling with the big question: is AI going to save music or just set the whole planet on fire a bit faster? In gear terms it all loops back to captures: NAM A2 models are coming to affordable floor modelers, which is wonderful news...just please don't buy a boutique pedal, capture it, and send it back. It's on the street...Richard unveils his new guiding philosophy, the Rule of Tens - everything makes you ten times less than you hoped and takes ten times longer than you feared - survives his very first return with all the grace of a wounded schoolboy, and reminds everyone that this industry is pure, unglamorous hustle. Meanwhile Keeley has dropped a new tube-based pedal - and yes, it sold out before Blake could get his wallet out.Elsewhere, it is not a great week to own a YouTube channel. Friend of the show Henning Pauly got hacked and watched his entire channel vanish into a live crypto webinar, which sparks a proper rant about why the platforms that hand out shiny silver plaques cannot be bothered to protect the creators who earn them... And then there is the D'Addario AI debacle: after denying it, then producing receipts, they have now admitted the guitars in that video were faked with Suno.Skynet 3000, Justice for HP42, Tube-Based Vapes, Richard's Withered Plums, Buy It, Capture It, Send It Back...it's all in this week's Chasing Tone!We are on Patreon now too!Support the show (https://www.patreon.com/chasingtonepodcast)Courses and DIY mods:https://www.bluesguitarmethod.comhttps://www.betterguitartone.comhttps://www.wamplerdiy.comhttps://www.guitarpedalcourse.comCheck out Oliver Effects:https://oliverfx.co.ukYoutube:https://www.youtube.com/@chasingtonepodcastFind us at:https://www.wamplerpedals.com/https://www.instagram.com/WamplerPedals/https://www.facebook.com/groups/wamplerfanpage/Support the show

WATCH ON YOUTUBE: https://youtu.be/nEuT46QsltcWATCH ON RUMBLE: https://rumble.com/v7dyqiq-bizarre-inquiries-36-data-centers-flock-cameras-gate-program-souvenirs-ai-h.html.*Catch the show LIVE the 1st MONDAY of every month @ 7:15pm EST on Youtube!**NEXT SHOW AUGUST 31st*.Join Shayn & Orin as we let our minds wonder about the data centers issue, Flock Cameras and personal privacy, GATE program student souvenirs, AI high jinks, & the steps until we reach Skynet. All this and more on the 36th episode of "Bizarre Inquiries". Don't forget to submit your own bizarre inquiry, clip, or article for us to discuss on the show & like, follow, share, & leave a review! We'd really appreciate it!..Clips/Articles (In Order).What are AI data centers?https://www.youtube.com/shorts/MpQsANnmdn8.Michigan Data Centershttps://www.youtube.com/shorts/iyp6AajBjsQ.Whitmer Hot Mic (“We're used to people saying ‘f--- no,' and then doing it anyway”)https://www.youtube.com/watch?v=auZJduwPpBY.Glen Jacobs (Kane) vs Flock Camerashttps://www.youtube.com/shorts/4RAcz4xY-Io.Michigan Senate bill would restrict Flock data retention, require warrantshttps://www.youtube.com/shorts/9R92KBIicKg.PSA: Do Not Do This to Flock Camerashttps://www.instagram.com/reels/DalZyVOPgZX/.Is 1984 a prediction?https://www.youtube.com/shorts/Ax5MS8p3e2A.I was enrolled in ‘gifted' classes as a child — I now believe it was a CIA training programhttps://www.yahoo.com/news/enrolled-gifted-classes-child-now-230027333.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAHmICh4o8EGdSQ346djM9TLtqbkE9QmPl7LZMyQ-RmM6QarZbHi_fES41_oMl9jzhA51doSrIJkES8Yw2jEqn6-rM8Eaooa8kGraN0R5HAKekARK2DA9D-ti7I1uuBlzcGdweikPN91wla-iHkqRulnZyK5OwosF6ua_dRVNvt8Q.AI Capture the Flaghttps://www.youtube.com/shorts/AotwS9-86V4.Rogue AI worked at 'superhuman speed' during 'scary' hackhttps://www.youtube.com/shorts/pvRL61PIFD0.Sam Altman: "AI will probably like most likely lead to the end of the worldhttps://www.youtube.com/shorts/YE5adUeTe_I.Skynet Terminator 2https://www.youtube.com/shorts/1FtKsa29FT4...Listen/Social Media/Contact/Donate/Patreon/Merchhttps://linktr.ee/bizarrerealitymedia..CONTACT US!Bizarre Reality Hotline: (313) 364-1551bizarrerealitymedia@outlook.com..Donate to the Show/Support our Work:Cash App: https://cash.app/$shaynsquatchjonesVenmo: https://venmo.com/code?user_id=3007072169885696543&created=1759805849Paypal: https://www.paypal.me/shaynjones1994..THE BIZARRE REALITY MEDIA PATREON!FULL ACCESS NOW ONLY $2.50 PER MONTH!7 DAY FREE TRIAL!https://www.patreon.com/bizarrerealitymedia..THE BIZARRE REALITY MERCH STORE!T-SHIRTS ONLY $15.58 PLUS SHIPPING!https://bizarre-realty-merch-store.printify.me/..Catch the Shows LIVE & Video Content on the BIZARRE REALITY MEDIA Channels!Youtube: https://www.youtube.com/@bizarrerealitymediaRumble: https://rumble.com/user/BizarreRealityMediaTikTok: https://www.tiktok.com/@bizarrerealitymedia...Affiliate Links:.Sticker MuleUse link for a $10 credit to spend on custom stickers, magnets, buttons and more!https://www.stickermule.com/unlock?ref_id=1381125701&utm_medium=link&utm_source=invite..Chattergeist by Dimension DevicesGet 10% off by using the affiliate link!https://dimensiondevices.co.uk/shop.php?affiliate=OpenMindsMedia...Intro & Outro By:Socio-Beathttps://distrokid.com/hyperfollow/sociobeat/conundrumhttps://socio-beat.bandcamp.com/...Please Check Out:."Bizarre Encounters with Shayn & Orin"Join Shayn & Orin as we dissect the bizarre one encounter at a time. From deep dives to interviews we've got you covered on any and all of your fascinations into the bizarre and anomalous..Listen/Social Media/Contact/Donate/Patreon/Merchhttp://linktr.ee/bizarreencounters..."Inquiries of our Reality with Shayn Jones"The reality we live in can be a very strange place. Most of the time, fact being stranger than fiction. How will we ever start to understand this reality we live in unless we question everything. Join me and a guest as we unravel the mysteries of this reality, one topic at a time..Listen/Social Media/Contact/Donate/Patreon/Merchhttp://linktr.ee/inquiriesofourrealitypodcast...SUPPORTER CREDITS:.OFFICIAL INITIATES OF THE BIZARRE SOCIETY (SHOW SUPPORTERS):In Order of Sign Up DateKirsty Holland (TOP SUPPORTER)Dave SheriffNicole Oswalt (The Geek Foundry)Tom "Tomcat" Thompson (Strange Brew Podcast)Jennifer TimmonsChris Holm (Conspire a Theory Podcast)Brian SynenkiStephen Bodnar..FRIENDS IN THE COMMUNITY:.IKNOWSQUATCHSpreading the gospel of Squatch with knowledge & fresh merchhttps://www.etsy.com/shop/iknowsquatchhttps://www.instagram.com/iknowsquatch/..CryptoteeologySpecializing in wearable cryptids and monsters and the stories behind them. Discover a relatable monster for any casual occasion.https://www.cryptoteeology.com/https://www.instagram.com/cryptoteeology/https://www.facebook.com/Cryptoteeology...Become a supporter of this podcast: https://www.spreaker.com/podcast/bizarre-encounters-with-shayn-orin--6292129/support.

La peli que vio Rami es ArcoLa peli que vio Uli es The InviteEl libro que leyo Uli hace mucho es Magic and Loss de Virginia HeffernanLa app para leer que botonea es BookwiseNos leemos en el hashtag #ElFuturoPodcast

We've brought on friend of the show and writer Ben Fogel to talk about the hard-right turn in Latin America, and the list of freaks is a mighty one: the gradient scale of Bolsonaro failsons, the Peruvian dictator's daughter, the fast food restaurant family crime syndicate, and many more. November is still recovering from an illness but thankfully we have Mattie in detention onsite. Get the whole episode on Patreon here!  RILEY ALERT Check out No Gods, No Mayors here! HUSSEIN ALERT Check out 10k Posts here! MILO ALERT Check out Milo's tour dates here: https://www.miloedwards.co.uk/liveshows NATE ALERT Nate's band Second Homes has just released their debut album and you can stream it for free here!

This episode of Welcome To The Party Pal dissects Terminator 2 : Judgement Day, the 1991 American science fiction action film directed by James Cameron. Starring Arnold Schwarzenegger, Linda Hamilton, and Robert Patrick, it is the sequel to The Terminator (1984) and is the second installment in the Terminator franchise. In the film, the malevolent artificial intelligence Skynet sends a Terminator — a highly advanced killing machine — back in time to 1995 to kill the future leader of the human resistance, John Connor, when he is a child. The resistance sends back a less advanced, reprogrammed Terminator to protect Connor and ensure the future of humanity. Join in as hosts Michael Shields and Douglas Grant celebrate T2's 35th Anniversary by expounding on what made the film so ahead of its time and also so emphatically relevant today. Hosted on Acast. See acast.com/privacy for more information.

LE PODCAST MTL | Episode 314 | Skynet dans ta courDevenez membre de notre Patreon https://www.patreon.com/lepodcastmtl?utm_campaign=creatorshare_creator pour du contenu supplémentaire à toutes les semaines et vous pouvez poser des questions ou nous suggérer des sujets que vous voulez que l'on discute lors de l'épisode sur YouTube! Merci à Black Ninja Pizza https://supercoolfreshblackninjapizza.com/Get some LS Cream https://www.creamls.com/LISTEN ON SPOTIFY https://open.spotify.com/show/5PQDUyBKSNyPdc1567RqNw?si=1672dcf1eaae472f0:00 Intro5:41 Story Time30:43 Popeyes scandal36:32 Rare bacteria in Lasalle41:20 Insane salary talk47:16 Data Center scandal51:46 Music talk!1:02:20 Drame à Atlanta1:11:20 MOVIE TALK!1:44:49 La suite dans Patreon!

Social media posting is becoming psychologically expensive now - is the old internet we loved slowly wasting away?Your feed now looks more like TV programmed by an algorithm that doesn't know you, but knows how to keep you watching. In this week's Disconnected episode we cover the new social landscape, the companies quietly rehiring their ‘AI layoffs', and whether the emerging age of AI superintelligence brings abundance, or an existential threat…This episode of Disconnected covers:Social media turning into entertainment mediaThe psychological cost of posting and creator concentrationThe migration of “real social” into private spacesAI, employment, and the unreliable promise of automationSuperintelligence, ‘Skynet Day', and civilisation-level threatsJag Sharma: https://www.linkedin.com/in/jagsharmahttps://www.instagram.com/jagsharma/Jen Campbell:https://www.linkedin.com/in/jennifer-m-campbell/Jason Kapadia:https://www.linkedin.com/in/jasonkapadia/https://www.instagram.com/jasonkapadia/Felina Tan:https://www.linkedin.com/in/felinagabrielletan/Matt Webster:https://www.linkedin.com/in/mattwwebster/

Episode Summary This Week in the Apocaplypse, Brooke and Inmn talk about border resistance, a tree sit, some animals with adorable names, and the latest incarnation of SkyNET. Host Info Inmn can be found on Instagram @shadowtail.artificery. Publisher Info This show is published by Strangers in A Tangled Wilderness. We can be found at www.tangledwilderness.org, or on Twitter @TangledWild and Instagram @Tangled_Wilderness and Blue Sky @tangledwilderness.bsky.social You can support the show on Patreon at www.patreon.com/strangersinatangledwilderness Find out more at https://live-like-the-world-is-dying.pinecast.co This podcast is powered by Pinecast. Try Pinecast for free, forever, no credit card required. If you decide to upgrade, use coupon code r-69f62d for 40% off for 4 months, and support Live Like the World is Dying.

Text the Show⭐️ Affiliate item of the week: BLAVOR Solar Power Bank 20000mAh Built-in Cables, Wireless Charger for Phones & Apple Watch, 20W Fast Charging Battery Pack with USB C, Flashlight, Solar Charger for iPhone, iPad, iWatch, Samsung. https://link.amazon/B08FQ9e59Tonight our friend Kate Dalley is back with us. Kate is a cutting-edge nationally recognized radio host. She is nationally syndicated in multiple markets and can be found on many online platforms and apps. Her daily LIVE show is turned into a daily podcast. She has 7 amazing weekly co-hosts with different points of view! No parameters or politically correct talking points- she says things people are afraid to say out loud- an equal opportunity offender to both sides of the aisle. Kate's links:The Kate Dalley radio show : https://www.katedalleyshow.com/ Facebook: https://www.facebook.com/thekatedalleyshowInstagram: https://www.instagram.com/katetalksabouteverything/Linktree: https://linktr.ee/KatetalksabouteverythingKate's Shopify: https://katetalks.myshopify.com/What if the world ended... and nobody noticed? What if history changed, but only some people remembered the way it used to be? SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3 SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176  Facebook: https://www.facebook.com/DangerousInfoPodcast/SocialsInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVa

 EPISODE DESCRIPTION I sit down with Martin Pokorski from Skynet Trading , one of the earliest market makers in the space, operating since 2019 , to pull back the curtain on what's really happening inside token markets. Martin breaks down what founders consistently get wrong about liquidity, why checking CoinGecko every day is not a liquidity strategy, and what a proper liquidity audit actually reveals that surface-level metrics will never show you. We talk about the infamous "Houdini liquidity" trick, why some billion-dollar market cap projects have no product, and why thinking liquidity-first before your listing strategy could be the most important decision you make as a founder. If you're a VC, an investor, or a builder with a token live or in the pipeline, this conversation gives you the framework to understand what healthy markets actually look like , and how to get there. DISCLAIMERNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/ CONNECT Skynet Trading Website: https://skynettrading.com/Skynet Trading Twitter/X: https://x.com/SkynetTrading_Skynet Trading LinkedIn: https://www.linkedin.com/company/skynet-trading/Martin Pokorski on LinkedIn: https://www.linkedin.com/in/martinpokorski/Web3 with Sam Kamani: https://www.web3pod.xyz/ KEY POINTS WITH TIMESTAMPS • [00:00] Introduction to Martin Pokorski and Skynet Trading , what they do and why liquidity matters for token projects• [01:42] Martin's origin story , how a university LAN party in Australia in 2014 sparked his crypto career• [03:48] Running one of the first Bitcoin OTC desks in Australia with over 6,000 clients• [04:45] What Skynet Trading does: market making for token issuers and designated market making for exchanges• [06:26] What Martin is seeing on the ground , token launches are still happening, and the current market is actually an advantage for serious projects• [07:39] The RWA narrative and why sovereign funds and traditional finance firms are quietly exploring tokenization• [09:21] The first question Martin asks every founder: do you actually need a token?• [10:49] Why the GameFi opportunity is still real but requires patience , and lessons from the AAA gaming world• [15:52] What Skynet's liquidity audit reports cover , spread, depth, consistency across venues, and price dislocations• [17:41] Why checking CoinGecko is not a liquidity strategy and what the data actually reveals• [19:43] The biggest misconception founders have about liquidity• [22:00] Key warning signs in token markets , pulled liquidity, blown spreads, and "Houdini liquidity" explained• [24:23] The questions Martin asks early-stage founders and what the liquidity masterclass covers• [26:27] How Skynet Trading grew almost entirely through word of mouth and referrals• [28:02] Where the industry is in the current cycle and why Martin is optimistic for the next few years• [32:05] The single most important piece of advice for founders with a live token: think liquidity-first• [34:30] Why your token price becomes a daily public proxy for how your entire business is perceived• [37:04] What's being built quietly during the current crypto winter , and why the next bull run could feature far stronger products• [40:26] Martin's offer to run a free liquidity audit report for any founder who heard him on this podcast

Welcome back! After the rigmarole, Ron wonders if we are doomed to have Skynet start up any day; Chris wants to know if people are being too dramatic with physical media switching to all digital.

(00:00:00)

Welcome to the Daily Compliance News. Each day, Tom Fox, the Voice of Compliance, brings you compliance-related stories to start your day. Sit back, enjoy a cup of morning coffee, and listen in to the Daily Compliance News. All, from the Compliance Podcast Network. Each day, we consider four stories from the business world, compliance, ethics, risk management, leadership, or general interest for the compliance professional. Top stories include: Is AI scheming against us, or is SkyNet now self-aware? (NYT) New ESPN 30 for 30 pod reviews the corruption case of Ohtani's translator. (ESPN) Ex-Peru President released from prison. (BBC) CapOne fired the Trump Organization for AML deficiencies. (Reuters) To learn about the intersection of Sherlock Holmes and the modern compliance professional, check out Tom's latest book, The Game is Afoot-What Sherlock Holmes Teaches About Risk, Ethics and Investigations on Amazon.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode of Open Discussion/open lines allows people to call in and share their stories, experiences, or ask question. The main topic for this episode, Is the AI takeover here. We talk about all things AI from Data Center, surveillance, to movies that depict AI takeover. Sorry about the sound issues. I am trying to figure out what is wrong so I can fix the issue.****************** Talk in the Night links ******************Website: http://talkinthenight.com/ Facebook:   / talkinthenight   X: https://x.com/TalkintheNight Instagram:   / talkinthenightpodcast   TikTok:   / talkinthenightpodcast   YouTube:    / @talk_in_the_night  ********** Show Links **********https://www.tiktok.com/@thatchannel99...https://www.tiktok.com/@businessblurb...  / the-population-crisis-can-ai-be-humanitys-...  https://www.tiktok.com/@rene.elfriede...   • Elon Musk Warns Against AI, Says It Is Dan...  https://www.forbes.com/sites/markmine...https://www.tiktok.com/@angelcitytv1/...   • Officer who used Flock cameras and accused...  https://www.tiktok.com/@wcconews/vide...https://www.tiktok.com/@mindandfuel/v...https://www.tiktok.com/@_lbz_james__/...https://www.tiktok.com/@binge/video/7...https://www.tiktok.com/@israelisgreat...https://www.tiktok.com/@richfiftyone/...https://en.wikipedia.org/wiki/SKYNET_...)https://www.tiktok.com/@xcvii.price/v...************* Fair use notice ************* FAIR USE NOTICE This video may contain copyrighted material; the use of which has not been specifically authorized by the copyright owner. We are making such material available for the purposes of criticism, comment, review and news reporting which constitute the fair use of any such copyrighted material as provided for in section 107 of the US Copyright Law. Not withstanding the provisions of sections 106 and 106A, the fair use of a copyrighted work for purposes such as criticism, comment, review and news reporting is not an infringement of copyright.

Competing in a Future World of Infinite Intelligence Navigation: Intro From Knowledge Workers to Judgment Workers The AI-Native Company: Org, Hiring, Culture The Human Element: Are We Underestimating It? Scenarios Our Take 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 Nuno Gonçalves Pedro Introduction Welcome to episode 79 of Tech DECIPHERED. Today, we take a leap into the big unknown. This is a thesis episode, not your classic analysis, in-depth sharing episode. The big idea for this episode is that we may be approaching the cognitive age, and how would one, or how would a company compete in a world of infinite intelligence? The big idea, again, is that intelligence, which has been mostly scarce and expensive for all of human history, might become abundant and cheap. If that happens, what happens to work, what happens to companies, what happens to society? This episode will be really framing a lot of these discussions. From knowledge workers to judgment workers, addressing the AI native company and how does that change, going into the human element and whether or not we’re underestimating it, and finally, ending up going into scenarios, feasible scenarios of a future where, well, intelligence is abundant. Intelligence is quasi-infinite or infinite itself.Bertrand Schmitt Yes. Big questions for this episode 79. From Knowledge Workers to Judgment Workers We can start with from knowledge workers to judgment workers. Let’s go back first to how came the knowledge worker. It’s a 20th-century invention from Peter Drucker in 1959. The idea here is that that category might be splitting. The production of knowledge itself is on its way to being commoditized by AI. However, our perspective is that judgment around production of knowledge is not disappearing and is staying for a bit control managed by humans. What’s your take on this, Nuno? Do you agree with this split?Nuno Gonçalves Pedro I think it’s a little bit more profound than that. It’s not just judgment. Definitely, human judgment will be needed. We’ve seen agents perform all sorts of funny things in the wrong way when left alone to their own devices. Even some very well-known AI researchers coming forward and saying, “Hey, I tried to use this myself, and actually I messed up some of my systems,” or “I messed some of my code. I messed up some of my flows for a period of time.” I think just having human-in-the-loop from a judgment standpoint will be needed for a significant amount of time. That is something you can’t just delegate into machines, into algorithms, et cetera. The second part is, ultimately, there needs to be contextualization, and that contextualization, I think, comes from two forms. One from actual data, where the machine, I think, at some point will catch up, or the machines will catch up. The algorithms, at some point, on the data analysis will get better and better and have probably the closest to the truth that you can get, minus all the biases that are in the data, just to be clear, because data has a ton of biases. We’ve looked at this in the past and discussed it at prior episodes. But maybe on that, I think the machine has a chance to catch up, or the machines have a chance to catch up, so there’s less of distinctiveness from the human standpoint. But then, on just the attributes, the ability when you’re judging some situation, you’re in the middle of the situation. You’re judging the person and how it’s acting, in some ways, a lot of the things that end up happening, end up happening because there’s human interaction. There’s someone on the other side. I see how they’re delivering the message, how they’re implicating. We’ll talk about it later in the context of the organization and what changes in companies. I don’t think it’s just judgment. I think there’s a little bit more than that. One of the reasons I went to the dark side of management early on in my career from being an engineer was Peter Drucker and this notion of the knowledge worker, which he later on reemphasized with the publishing of his book, which for me was seminal and defined a lot of my career in life, the post-capitalist society, which is this notion that information rich and information poor is going to be the key distinctiveness that will happen in the world. The two big camps, information rich, information poor, which links back to this invention of the term knowledge worker, that knowledge is going to be key in some ways. I think that’s what we’ve seen for the last decades. Again, I think judgment is not going anywhere, but I think it’s beyond judgment. There’s elements of humanity and involvement that won’t go away anytime soon, where human-in-the-loop are particularly critical. We’ll discuss later some scenarios, but for me, that’s my stick in the ground. I think human-in-the-loop is going to be critical for many decades to come.Bertrand Schmitt While we are talking about all of this, and we share some possible scenarios, there is always that question. This is moving so fast right now. If you think about AI 10 years ago, AI 5 years ago, AI with the launch of ChatGPT 3, and then AI the past 2 years, now we have agents that are running at scale. Things are moving very fast. I can tell you, me in 6 months, the change has been pretty dramatic in terms of what I can use AI for. There is always that question that whatever we are thinking about cannot just be connected to what we were able to do 6 months ago or even today, we have to think and project ourselves at least in the next 6–12 months. Of course, we can go beyond that, and we will do that with some future scenarios, but it’s a very fast-moving, and it’s not clear yet where are the limits.Nuno Gonçalves Pedro I think that’s a very fair point. Let me try to analyze things that I don’t think will change anytime soon for the next few years. Agreed with you that many things will change, and we’ll have a lot better tools, platforms out there. That will be difficult to predict what exactly won’t change. I think there’s elements of humanity, and some of them do relate to judgment, like having good or bad taste, having a view on it, on whether something looks good or bad. Obviously, all of this sometimes is subjective, but some of it may not be as subjective as people think it is. The elements of contextualization. I think a little bit going back to what we did at Chamaeleon ourselves, where we built this platform, Mantis, and the objective of building Mantis was not really to replace us, was that it was a core augmentation layer in some ways that we would use investment or investor judgment as humans in the loop to systematize pattern recognition and a variety of other things, but that Mantis would really elevate all that judgment, not just in terms of timing, us being more productive, but also in terms of the quality of the decisions we’re making. Think of it as a little bit like having our human judgment in the context of operating Chamaeleon at a higher altitude, where we are more aware of the things that are happening and how they actually happen. The ability to really get to the data pieces and then make decisions on top of that that generate the needed alpha in our case for investors. What I mean by this is I think there’s always going to be core elements of humanity that I do think are going to be difficult for the machines to replace. For example, the taste piece people are like, “I can figure out what’s the taste in the market.” Yeah, but that’s mainstream. That doesn’t identify what’s the next big thing, which normally doesn’t start from mainstream. It starts from something else. It could start from opinion leaders and influencers. It could start by someone having a different way of addressing a problem and having a solution that hasn’t been thought through. For example, elements of creativity, I think, in human judgment and in human operations is something that I feel the machine will still have difficulty to replace.Bertrand Schmitt Let’s not forget how today current algorithms are working by feeding them enormous quantity of data, actually as much data as we can find. Finding more data is becoming a limitation these days. What it means is that it’s very hard for AI to think beyond its training data. There is some level of logic that’s being added, but at the same time, take the launch of the iPhone. What was the opinion before launch? Is that no, it doesn’t make sense. Not enough battery life, no keyboard, no this, no that. If you just base your analysis on what’s written out there, what’s being sold out there, you would just say, “It’s going to fail.” AI might really follow that more generic advice and perspective because that’s what in the training data and that’s what they’re in volume. It’s, of course, raising a lot of questions of, how do you improve the quality of the training data? How do you separate the weed from the chaff? There are a lot of questions there, and obviously, it will get better over time. But it’s still a critical part of how it’s working today. It won’t be that easy to change. I really like your point regarding Mantis, and I will say in general, platforms that you build with AI or leveraging AI capacity. Because when we say knowledge production is going to disappear, but we’ll keep judgment, it will be a different type of judgment because the quantity and quality of knowledge we will have in front of us to build our judgment will be very different. If suddenly we have for free the work of 10 interns or 5 junior analysts or whatever, and you can run that on nearly anything you do in life or at work, it’s completely dramatic. Your judgment was not used to be exercised so often because often you were missing quality data to have a judgment. Before it was a lot of finger in the wind and trying to smell something, but you didn’t have enough to make a serious analysis. Except if you are working as a strategy consultant, as you used to do, Nuno. That part is actually quite interesting. That the judgment itself will be exercised much more often and hopefully on the base of much more in-depth analysis for a lot of things. We will work very differently.Nuno Gonçalves Pedro We will go in-depth, faster and more fact-based, more data-based along the way. The question some of you might have right now is, is there some judgment that’s going to go away? Is there some judgment? We seem to be defining that there’s this organization, we’ll talk about it later, that goes from doers more into deciders. I think there’s some nuances to that, so I’ll just hit pause on that. In terms of judgment, obviously, there’s judgment that has been hidden over the years under the pretense of being wisdom, but it’s actually not wisdom. It’s just repetitive tasking, and it’s rules-based for the most. There’s a lot of judgment done, in particular in the white-collar space, that you could say it’s just reps. People have been doing it all along like that, and so therefore to say, “I’ve done it before like this, so I’ll do it the same way.” There’s actually no best in class, no analysis, no nothing. It’s just, “I’ve done it like that before.” I think that type of judgment will disappear because, again, algorithms will be as good, if not much better at that. They’ll be better at figuring out, actually, this would be the better way to do this. That’s how you play it forward. Then the question is, if there are fundamental, wise people in the organization, people that can really take that more complex elements of judgment, how do you go from the world we have today, which is a world of apprenticeship, where people come out of college, they go and work, and they learn their way, and therefore, hopefully over time, some of them, not all of them, we know that, but some of them will develop that wisdom to be great decision makers 15, 20 years down the road? How do we do that in a world that now is saying, “I don’t need people out of college because I can do it myself, and I can do individual contributor, and I can have agents doing the work that would require some manifestation of management in the middle.” Basically, “I don’t need this stuff. I don’t need you.” It’s a little bit the story we’re in. How do you create then this apprenticeship? How do we create then wisdom? My two cents on that is that wisdom, because of what we were just discussing and what, for example, myself and Bertrand was just saying, because of more often interactions with more data-stressed information and insights, what will happen is people will get better through their own reps in whatever form they’re doing, in day-to-day life, in internships, et cetera. In some ways, that will create the accelerated growth. It’s a little bit the interactions with agents and the interactions with our beloved AI algorithms that will create that growth over time and maybe not as much with other people. That still leaves the question around social interactions, but that’s probably the way this gets sorted. Apprenticeship gets sorted through the machine and the human having more interactions in effect.Bertrand Schmitt I agree with you because when we talk about apprenticeship, in some ways a lot of time was wasted on stuff that were not that important. But in a way, that was the price you had to pay in order to be there when people make the big decision to try to get some wisdom from that one hour of interactions that’s really useful and make a difference out of your full week. But the rest of your full week was just basic stuff that you had to do like a machine in a way. Why not let a machine do that? That, for me, is a big question. You could argue there is a transition period where it could be hard. For instance, if you can work hand in hand with AI smartly while you are doing your 4, 5 years of universities, you could graduate with a very different knowledge, perspective, judgment, skill set than anyone who graduated 5 years ago. I think that part will require a question around, “How do you change education?” You see what I mean? If you keep education the same way, expecting that the output is someone that should go now into 5 years of apprenticeship, that’s not going to work because companies will be, “No apprenticeship anymore.” On the contrary, you have to come much more knowledgeable and ready to use the tools. The tools are so efficient that the bar pretty high. You need to come already very well-grounded. If the education is not doing their job, that will be trouble. That part for me, I think is often forgotten. In some ways, the new-found importance of universities as a place to, and not just universities, the trade to really deliver people who are ready for the workforce. If on the business side, the expectation can change, of course, you have to change the education on the other side. My worry probably right now is that it doesn’t look like universities are in touch with what businesses are looking for, businesses are working on. Of course, that’s very worrisome because the cost of university has increased very significantly. It’s not clear quality of education has improved at all. If anything, it could be the opposite. It’s pretty scary. Of course, it’s going to raise a lot of questions. How much is education worth in that type of situation? Maybe another point because we talk a lot about apprenticeship, how this stuff was useful, but at the same time, if we go back in time, not long ago in the ’50s, if you wanted to be a developer, for instance, ’50s, ’60s, the job was very different. There was barely any programmation language out there. You had to use punch cards. Your time truly spent doing the coding was very limited. Once you had your stuff working, then, the debugging was a total nightmare. My point is that no one is looking back to that time saying, “You know what? It was great. It was a great way to learn and to do an apprenticeship for 5 years. To do that crappy job of punching cards for the boss.” There was little value in this. Guess what? Everyone is happy it’s not being done anymore by anyone. I think we also have to see what AI is bringing in a similar way is that everyone’s job is going to become quite different. There are a lot of big parts of the job who are not going to look back with fondness. Just looking back as, “Wow, that was very machine-like type of job. I’m glad I’m done with it.” People will want to jump directly to the next step. You don’t need to go to the punch card phase to be able to be a good developer for the past 40 years. I guess it will be the same with AI.Nuno Gonçalves Pedro I think so. The difficulty we have as humans is to also visualize dramatically different scenarios and landscapes, professionally. It’s difficult for us to anticipate what are the jobs of the future. Jobs have changed a lot in the last few decades, not even the last century. What people do, the migration initially from the agricultural society to then the industrial society to then the services society, and in some ways, the shift within the services industry, and now we’re seeing another shift, so we can’t really anticipate what those jobs look like. Back to your point on education, because I think that’s a very important point. If you’re right now an undergraduate student or a postgraduate student, for that matter, and you’re not figuring out your own mechanisms of learning outside of your syllabus, outside of what your professors are telling you, et cetera, you’re going to face very difficult times. If you’re not right now using all these AI tools proficiently, all these cycles of vibe coding, co-working, et cetera, with agents in the mix, you’re going to have a really tough time. If you’re not at this point in time as proficient as someone like myself or Bertrand, and given that we’re nerds, we’re relatively proficient with a lot of these tools that are out there. On top of it, some of us have our own platforms in-house. If you’re not as proficient as we are with those tools, you’re going to have a very difficult time because then people like us won’t need you. I think that’s the sad truth. It’s like at some point, if you’re not needed, you’re not needed. Then again, you may find something else that’s more interesting for you to do. Start your own company, go join a new exciting job doing whatever it is that you need to do next, et cetera. But again, I think the bar is very high. If you’re in college right now, again, undergrad, postgraduate, this is the time of transition. This is the worst time. It’s not the best time, it’s the worst time. Because education and all these institutions haven’t adapted to it yet. You need to adapt. You need to adapt. You need to adapt. If you don’t, you’re going to pay for it, not just in the loans you need to repay, but also in terms of actually having difficulty finding your career path in those first few critical years.Bertrand Schmitt You need to be especially proactive when you’re facing this type of period where businesses are adapting as fast as they can because they all know it’s going to be survival of the fittest very quickly. Universities typically are working on a very different pace, and it’s pretty guaranteed they are not going to have adapted as fast as businesses. In time of big dramatic change, it will be trouble. It will be trouble. Yes, you will have not fun. Not saying it was part of the deal when you sign up for that loan and decided to go for university. But that’s life. There has been issues before. It’s not the first time. You have to do something about it. You talk about your perspective about, “Hey, why do we need you if you are not already fluent and very efficient with these tools and stuff?” The truth, in some ways, it’s even worse than that. Each time we spend with someone who is not efficient with all of this is less time we spend with the tools that are already providing magic for us.Nuno Gonçalves Pedro Exactly.Bertrand Schmitt It’s a very big choice of, “Hey, do I spend more time training this person?” Do I just… there is an opportunity cost. Or, do I spend more time staying at light speed? Why do I slow down to do something else in the hope that maybe I will get to return versus the light speed I’m already on? It’s a lot of tension. Again, it’s certainly new. But if we want to look back, I think you talk about the switch from agriculture and society, industrial society, and now the service industry. The reality is that, yes, we have made dramatic changes in the past before. 140 years ago, we were 90% agricultural society in Europe, in the US, 90% of us. Today, it’s what? 2%. So my point is that that’s a normal evolution. There is no progress without change. Sometimes the rate of change is soft, and sometimes you have a step function. Now it’s a step function, and it’s also a pretty fast step function. Before, it could take decades to get new stuff being put in place, to have electricity come up, this or that. Now we see that the rate of investment in AI is insane, way beyond anything we have seen before. Two, in a way, a lot of the architecture behind the scene was already there to support an even faster transition. What’s new might be the pace of the transition, how unnatural it might look. But at the same time, if you put yourself in the shoes of someone who lived 150 years ago, I mean, this was also a dramatic change for them. From horses to cars to planes to rockets, pretty big change, maybe even bigger change.Nuno Gonçalves Pedro Maybe the silver lining, just to bookend this section, is one, there will be new roles. There are a lot of things we can’t anticipate. There will be new roles, there will be new jobs being created, and new things that we can’t really quite grasp yet. The second part is that the rules are changing, and they’re changing, I would say, in general, for the better. If you are a decision-maker or an organization, and you still have your job, you’re probably making more important decisions with more data, with more tooling around you, with less red tape, hopefully over time. I know that will not hold true for all the big corporations out there that are listening to us, but it is starting to happen. Things are making an impact on how decision-making is made. There’s less and less red tape along the way in certain organizations. There are more and more fact-based discussions happening as we move along. The silver lining is better jobs, more jobs, different jobs in the future, hopefully as well. Secondly, the second part of the silver line is that the jobs that exist today, hopefully, will be more interesting, certainly on the knowledge space and on this judgment space that we’re now introducing as part of this episode. The AI-Native Company: Org, Hiring, Culture Switching gears, maybe to how does that shift? How does the company of the future look like? How does an AI native company look like? I feel there are a lot of discussions on, “Oh, you only need one person to run everything.” Let’s not go to that level. We’ve had a couple of episodes where we focused on AI as your co-founder and a couple of other elements that you guys can go back to. Let’s focus on a more evolutionary view of what’s happening to organizations, and maybe start with the org structure. In general, we should see more flat organizations where mid-level managers have to justify their pay in some ways because middle management are routers. They are normally routing tasks. It’s sometimes aggregating it, synthesizing it, and pulling it back up. Guess what? AI and agents in general are very good at that. The synthesis piece, et cetera, is not as well needed. One could say there are several elements of middle management that are valuable, like the coaching of people, the creation of apprentices, and the accountability that comes with some of middle management. But lo and behold, most of middle management is seen as a little bit of a thin line that doesn’t need to necessarily exist. I feel we’re moving into a world of smaller teams, more senior teams, where there’s more judgment at the top, where you’ll have people that both do a mix of what we used to call management in its new form, but also a lot of individual contribution. If you’re not used to that, if you’re not used anymore to be an individual in the future, again, and if you’re a very senior in an organization, maybe this is the right time to either reinvent yourself, find some other job that doesn’t require as much of that, which we’ll have plenty of those jobs for the next few decades, or maybe retire. I’ve actually, shockingly enough, seen people who have said, “You know what? This thing is changing too fast, too dramatically. My industry is changing quite aggressively right now. I’m about to retire in a couple of years. I’m just going to retire now.” I’ve literally met two people who have done that. Again, there’s nothing wrong about it. I think we’re, again, going through a step function and a huge shift, but figuring out where you fit in this new model of organizations, more senior at the top, smaller teams, more of a mix of individual contribution with management than ever was done before.Bertrand Schmitt I agree with you. In some ways, I’m not surprised that some people might say, “You know what? It’s now time to retire.” I feel a bit sad, maybe because it means you don’t like to keep reinventing yourself and changing your habits and thinking about new stuff. You were a creature of habits, I would say, if that’s your conclusion. But everyone is entitled to their own opinion, obviously, and a way of life. I guess that’s what happened, again, at regular times in the past in terms of big change. What I can see is that the rise of, you can call it the full-stack individual, someone who will have multiple roles inside the team. Before, you had to really separate the role. Especially in the US, there is such a clear separation between every role you can have in a company. Let’s take a tech company. You will have people doing design, people doing different types of designs, people doing front-end development, back-end development, and operations. You see step-by-step hyper-specialization. I have seen that, and it’s true that the level of complexity you had to deal with at some point requires some level of hyper-specialization because it will take you 6, 12 months in order to be really, really strong on a specific topic, a specific language. God forbid, trying to go deep into something that you had no real experience into. But I feel with AI, it’s a big change, actually. It’s the opportunity to go beyond that. It’s the opportunity to do more, to touch more. You can combine designing and shipping code, product managing and shipping code, being an analyst and deploying. Of course, we have to think how it works because putting a marketer shipping code to production, maybe that will get you into trouble. But I think that there must be some change. We see it changing dramatically, how fast we can get into something, something different from what we are used to. I think it would be crazy not to take that opportunity to dramatically change the scope of many positions and put an end to that hyper-specialization. I think for me, in some ways, hyper-specialization was bad. There is only so much you want to be a specialist in because a lot of things, a lot of opportunities are actually coming from the mixing of many different ideas, many different perspectives, and you lose if you go to hyper-specialization.Nuno Gonçalves Pedro I don’t think the age that is coming is the age of the generalist. I think it’s going to be the age of the multispecialist. We’re going to go into an age of multispecialization, which is a little bit, we’ve mentioned it as well in the past, what Amazon defines as an athlete or T-shaped or pie-shaped people, people that have on top an amazing ability to do general management, strategy, managing teams, et cetera, then have spikes. Spikes into business development, corporate development, product management, whatever it is. With AI and with agents, the development of those spikes, as we’ve been discussing in this episode, will actually be easier. It’s almost like a given. If you want to go deeper and deeper into a certain area, you can go much faster. I think that level of multispecialization is going to be really cool to observe. I’m not sure we’ve had an age of multispecialization over the years. Maybe people would point out, well, the Da Vinci example, people that are great across very different areas. Maybe that’s an example of multispecialization. But honestly, from my perspective, this is going to be an exciting time because of that, because you’ll have people who, instead of being just focused on this area of sales, and I only do that, they can actually and should actually do a lot of other things. So the work, as we were talking before, can be more interesting. More demanding as well, because the judgments you need to make are more complex. The context you need to actually gain needs to be gained much faster. At a level of magnitude, you haven’t been able to do it before. Talk about information overload. But actually, ultimately, the roles can be a lot more interesting, a lot more exciting, because I can jump around. If I’m an investor, in this case, we have two investors on this conversation. But if I’m an investor, one of the things that we start looking at is actually not just looking at a startup as, is this startup doing something in AI or not? Is it AI-enabled or not? Is it an AI platform or not? But actually, more fundamentally, is this an AI native startup? Meaning, organizationally, culturally, is this the company that’s already in the AI age? How is the team working? How are they defining things? It’s not just that they only have two or three people. It’s like, what are those two or three people doing? How are they doing it? What cadence are they doing it on? What tools are they using? How are they making decisions? I feel we’re still actually relatively early on that track. It’s very interesting because we’ve had all these companies raising mega rounds. First round out, we invested in one of them, but there have been many frontier labs out there raising a ton of money. But a lot of them don’t have a fundamentally different way of doing business. Of organizing themselves, of how they do the day-to-day. Although they’re working on cutting-edge stuff, with very notable exceptions, they’re actually not using it themselves. They’re not actually shifting how they do stuff themselves.Bertrand Schmitt For me, that’s very interesting because in the past, I used to be quite conservative on how you manage and run a company in the sense that if you’re already in tech, if you are already on the cutting edge of what technology can deliver, and this and that, don’t waste time trying to invent a new org structure. Just focus on delivering something great, amazing, and be great at technologies. That’s already your huge differentiator. At the time, there was no real reason to innovate on the team organization. I have seen so many teams that tried to innovate, and it was just catastrophic because there was not much to innovate on, because we had decades of optimization that we could leverage. There was no reason to invent. But here it’s very different. There is a dramatic shift in how you can organize differently a company. I don’t think there are any blueprints yet on what’s the best way to do it because it’s too new. But at the same time, I would feel very bad to invest or support a company that first is not focused on AI or AI-enabled, but at the same time is not trying to innovate on the team itself. Because if you don’t do that, you’re going to get killed by someone who is going to innovate better than you on not just the product, but on the org as well.Nuno Gonçalves Pedro Indeed. The shifts are pretty substantial. If you look, for example, just at hiring, what do you hire for? Certainly, there’s this element of the multispecialized orchestrator, which normally will be someone with quite a lot of wisdom and expertise. It doesn’t necessarily mean someone who’s old, but someone who has the ability to work with all the AI tooling and platforms out there and be an orchestrator of agents. Why do they make judgments, make decisions, move stuff forward really, really, really quickly? Again, those jobs are going to be the best jobs. The second part, I think that is very interesting, around hiring, is you’re going to skew towards the elements that are potentially either very aligned with the use of AI tooling and platform, AI expertise, or being AI native, or someone who’s used to using AI. That’s one side of the fence. On the other side, you’re going to actually be optimizing to hire people that have the characteristics that will be difficult for AI to replace immediately, like taste and the notion of fundamental accountability and notion of implications, the notion of how you affect change in organizations, how you affect change in individuals, the elements of coaching, and beyond coaching. You’ll be optimizing for those kinds of hires as well. Then, last but not least, for me, I feel that there is a momentum already happening. I think it will happen even more, which is the tendency to under-hire rather than over-hire. The moment of the good old days of blitz scaling, “Oh, let me go and hire 300 people to scale my go-to-market and just land grab market.” Now, that’s not how it’s going to work. People are going to try and first get the efficiencies in-house with top talent and see if there’s, at the end, the need to hire more people or not, rather than the other way around. I think the issue here is a little bit of what we alluded to before in this episode. There is a tax on individuals. If you hire more people, you’ll have to manage people, you’ll have to work with them, et cetera. If I don’t need to, I might as well work with the agents that the tools and platforms that I use give me access to. Because that’s a world that’s much more efficient, right?Bertrand Schmitt I’m in total agreement with you on this. It’s definitely raising way more questions than before because, again, on one side, you have the product, the technology used to build products that are completely different. At the same time, all of this is also enabling new ways to design organizations and to scale differently, especially in a world where, as we have seen in 3, 6, and 12 months, stuff that you thought were impossible are suddenly becoming possible. So you’re, “Hey, I’m going to scale and burn a shitload of money for 6 months before I know if there is any return.” Versus, “You know what? Maybe I just wait 6 months. The AI has improved enough so that we don’t need this new team. We don’t need these people to do stuff.” Because actually, if you just wait 6 months, we will have stuff coming for free from either new AI models or new AI tools or this or that. If you remember, we used to say that in mobile, things were going three times as fast as on the web in terms of pace of innovation and speed of development and stuff. I mean, with AI, it’s 5X mobile.Nuno Gonçalves Pedro Maybe even more. Yes, well.Bertrand Schmitt Maybe even more, maybe 10X. Every assumption around blitz scaling or scaling in general was based on past assumptions. It’s not based on how is the industry evolving today. Might make more sense for you to really grow your agents and spend more money on more tokens. I remember, of course, Jensen is selling his business interest, but he was saying, “Hey, for each one of my 450K engineers, he better spend 250K in tokens a year.” I’m not saying it’s the right way to say it, but I think there is some truth in it, and that would be something to think about. Have we maxed out the token usage per employee? I’m not talking in a stupid way because token maxing and wasting money has no value and is as stupid as it gets. But if you are truly getting a return on these tokens, can you use more? Can you generate more? Can you create more loops so that one engineer manages not just 10 agents, but 50 agents, but 200 agents? I think that’s the big question. We’re trying to add more people. More people means more management, more issues, more this, more that. That would be a fair question. Another piece of the puzzle is how do you build in a way your… I don’t know if it’s a digital twin, but more like the digital version of your companies represented by agents. How do you make sure that everything you do as a business is truly captured, is truly leveraged so that your agents are getting better and better? Not just because the model gets better, but because you are putting more data into it, because it has more opportunity to learn, and as a result, gets better at your specific business.Nuno Gonçalves Pedro The next big thing is culture. How does culture change? I think the biggest shift that I see is, why would you do meetings all the time?Bertrand Schmitt Yes.Nuno Gonçalves Pedro At least at Chamaeleon, we have a very small team, just by the way. We have a very small team at Chamaeleon. We’ve reduced by way more than 50% the time we spend on meetings between each other across the board, one-on-ones, partner meetings, et cetera. I think we’re really pushing to be more and more asynchronous. There’s stuff you can process via message. I was just asking one of my colleagues, “Can you just send me that prompt for that so I can just do that on CoWork?” Or “Can I just go on Mantis and do this? Can you tell me the cycle?” Or vice versa. Basically, it’s a little bit like you’re just going to do it. I don’t need to meet. I don’t need to meet all the time. There are some things where we still need to meet and interact, and we need to brainstorm at times, and we need to go to a different level of abstraction on the top end. Then on the lower end, there might be things that are a little bit more specific and governance-related and operational-related that we need to agree on that are more sticky. But otherwise, the culture is going to be biased towards build. “Go and do it,” rather than, “Let’s do a meeting.”Bertrand Schmitt Yes.Nuno Gonçalves Pedro Async is the thing. I’m more and more like we have a couple of interns this summer. “Can we async this?” They’re like, “What does that mean?” “Can we make this interaction asynchronous?” Because synchronous interactions for me are very expensive. Can you send me something that I can process, and then I can send it back to you? We don’t waste time on you giving me context and whatever. Then I’m not ready quite yet because I need to process it. Maybe I’m in between two meetings that I’m actually thinking about other things in my mind.” Again, I feel that shifts how stuff is done. One, build rather than meeting. Two, asynchronous versus synchronous. In some way, millennials had it right when they shifted a lot to messaging and stuff like that. Let’s do more asynchronous rather than synchronous, those two elements from just an operating model of the company are significant. Maybe this is a good time for me just to put one parenthesis because there’s this thing that’s bugging me as we’re talking here. Everyone who is listening to us at this point in time might be saying, “Cool, but I work for this large organization. We’re just now…” Everything we’re saying here is contextualized by time. We’re giving you extreme situations. We’re looking into the future. Some companies that we’re talking about might be doing this already as we speak. Some of them might be in the process of doing this and might in the next couple of months be doing it like we are describing it here. Some of them might take years to get there. Then again, some of the companies that might take years might actually be destroyed in between or meanwhile, and be disrupted. Some of them might not because they’re in very legacy businesses, and it’s fine, and it’s okay. Again, don’t take everything that Bertrand and I are saying today as this is gospel, and it’s going to happen tomorrow, and why the hell are we not doing it? We think that aspirationally, this is where you should be moving to as an organization, whatever size you’re at. Speed will matter, as we discussed before, but not everyone, obviously, is going to move as fast as we’re describing it here.Bertrand Schmitt Yes. Me, for instance, take inspiration often with what some of the AI labs, frontier AI labs, are doing, the way they are working, especially in OpenAI and Anthropic. They are clearly at the top of the spear in terms of what is it that you can do because they have access to models we don’t have access to, because they have unlimited tokens they can use for tasks. They hire people who are, of course, 100% on AI. They are the best example of what is achievable if you have the top minds, if you have the latest models, if you have unlimited tokens. From there, you can take that for our needs and for our situation, and others in industries that are not as advanced. Definitely, you have some time. But as you say, things are moving fast, things are changing. Wall Street is going to expect better returns because when we discuss all of this, the conclusion is that you should be able to do more with less. That’s as real as it gets at some point. By the way, that’s what you see. You see better performance, a better business performance right now. So even if you might not get disrupted, you’d better start there. For some, it might take more time, and they might still be fine.Nuno Gonçalves Pedro Maybe to bookend this section, clearly what we’re saying is organizations are going to change. Their MOs are going to change, the structures are going to change. There are elements of what we discussed before in terms of judgment that are fundamental to this. The ability that in some ways, one would say a lot of the technique of getting solutions out there, even in brainstorming or problem-solving, is going to get democratized. The algorithms are able to do that. On the other hand, having points of view and having wisdom is not necessarily democratized, necessarily by the machines. It can be facilitated, it can be more productive in achieving that level of wisdom, but wisdom still will matter at the end of the day. We’re not saying that’s out of the question. Actually, that’s going to be the asset. People who have fundamental wisdom that can come to the table and frame things. We see this even today in prompt engineering, on just creating prompts. The better your prompt is, the better the outcome is going to be, the result that you get from the algorithms. That’s not going to change, in my opinion, anytime soon. That UI interaction piece is not going to change anytime soon. Again, if you’re an organization thinking through organizational structure, culture, if you’re thinking through hiring, these are some of the elements that we think will give you an opportunity, but I would actually go one step further. On the positive side, I would say, they give you arbitrage. If you’re able to move faster than your competitors and really adapt your org faster, you’ll reap the benefits faster as well. That’s what many still say and relate to as the word innovation. That’s how innovation gets accelerated. I think there’s a huge opportunity right now for arbitrage. If you move fast, experiment, experiment on new org structures, experiment with talent, you’ll know that some of them will work well, some of them will fail miserably, so you can’t experiment on literally everything. On the other side, I think the doomsday scenario is if you don’t, if you’re on the other side and your competitor is outpacing you on trying these different organizational models, structure, hiring models, and operating models, they’ll potentially just disrupt you. They’ll do stuff that you thought you had the moat on, and lo and behold, you don’t anymore. Sometimes it comes just from org, just from injection of people with a different MRO, different operating model.Bertrand Schmitt The Human Element: Are We Underestimating It? Maybe we can move to our next section about the human elements. Are we underestimating it or are we overestimating it? The three things that are a big part of the human elements, emotion, creativity, and synthesis. Is it just soft skills, replaceable part? On the contrary, is it the durable part now that we have automated intelligence?Nuno Gonçalves Pedro I’ll start with emotion first because I think it’s probably the easiest of all the ones you’ve mentioned. Emotion is key. Many of you listening to us will know this. The way you deliver a certain message, the emotion that you have when you deliver it, just in and of itself, this could be a sentence, it’s something verbal, et cetera. Makes a difference between the person or the people on the other side actually adopting it or actually just resisting it. Emotion is critical. It’s what runs the world. Everyone talks about a bunch of things, but emotion is a currency that is still naturally human. It will be, I feel, difficult for these AI tools and platforms to recreate it fully until there’s some literally very high-definition manifestation of them as avatars or some physical manifestation of them as robots and all that stuff. It will take a while for that emotion to be manifested. Emotion, I think, is still something that we as humans have as a moat, and it’s critical. As you mentioned before, I was a strategy management consultant at McKinsey, and getting people to action is actually 80% about the delivery, communication, the emotion that you surround the project itself, more than sometimes the truth. It’s great to have the truth and to have something that is similar to the truth in terms of analysis, but in some ways, that’s not what really moves change. Change is moved by, I would argue, a significant amount of emotion and alignment on emotions.Bertrand Schmitt You could argue that’s something that most politicians have perfectly understood. If you look at most campaigns these days, everything on emotions, maybe the tagline might be one word. It’s interesting when you see from that perspective that actually it’s very little on facts, very little on all of this, but more about emotion. You could argue it’s the same for businesses in the future? That’s a fair question. I think creativity is another one that’s quite important. At the same time, it’s not so easy because I must say I’m quite amazed when I’m looking for creativity from AI, either to generate the image, to generate video, to generate audio, or to generate text. AI can be pretty creative. I still think you need to control its creativity; you need to understand what’s good, what’s bad, what’s quality, but at the same time, I can see even in creative tasks, AI can be a very strong partner. I’m talking about any creative task, like invent a name for a product, let’s brainstorm the mission for the company. AI can actually be doing a pretty impressive job. That’s the type of job where you will hire experts, where you will use some of the best people in your team to help you for days. We say, “You can do quite a lot.” It’s an interesting one because I think there is some unique human creativity, and at the same time, AI can be pretty strong at creative task as well.Nuno Gonçalves Pedro I agree. In particular, if it represents benchmarking, if it represents repetition, if it represents seeing the world and then coming up with something that presents itself as creative, to be honest, it can actually outpace humans. If it’s like genuine light bulb moments of creativity, angles that haven’t been tried before, certainly not in the same way, I think humans still have the advantage. To your point, I agree. This is not a humans-win situation. On the previous one, on emotion, still, part of it is because, also on emotion, there are exchanges. You and I might be looking at each other, and from the facial expressions and the reactions, where you judge that for AI to get there, it’s going to take a long time. There’s going to be a lot of very complex algorithmic stuff put into that for AI to be able to create synthetic emotional behaviors, but creativity, I agree with you. There are a lot more nuances to it today, where AI does have significant advantages at the end of the day. Synthesis depends. Synthesis, I feel, if we’re talking about holding a bunch of messy assumptions, contextualized inputs with different layers of data adjacent to them and then trying to create and form one coherent, fully accountable point of view that you stake something on, like a decision, a company, a business unit, whatever, I think humans have the advantage. Part of it is the complexity of what we have today with generative, pre-trained transformers, today with GPTs, where the hallucination comes through, where it’s really more statistical analysis. Over time, maybe synthesis will be a forte for AI. Right now, I think we still have that ability to really be the ultimate decision-makers and judge-makers and have that wisdom put at the table to make those decisions. Honestly, models are very good on balancing both sides, so ended up, as we say in Portuguese, neither fish nor meat. It’s to balance both sides’ answers. That’s not helpful in most cases. When you’re in a difficult position where, for example, the future of a company, company is almost dying, what do you do? I’m not sure your AI algorithms that are going to give you a great solution. Because it will give you a median or average solution, which likely will lead you to a median or average outcome, which in this case would be failure. Again, on synthesis, there are some areas of advantage for human beings. If you are looking for clearly synthesized perspectives on certain elements that are maybe less edge-focused, they’re more than the normal part of the normal distribution, then probably AI agents are brilliant at that. All the tools we have today are pretty good at that, and I think they’ll just get better over time. That’s how I see synthesis.Bertrand Schmitt I think a lot of improvements will come with a better fine-tuning of agents to what’s special about your company. Because if you just take a general agent, there is only so much. It can understand your industry, your company, and your way of working. I think that part of making sure your agents are finely trained, finely tuned on your own business, so that they can give you a really well-calibrated feedback, will have a lot of importance.Nuno Gonçalves Pedro I think that’s absolutely spot on. Maybe to end it, what is definitely different about humanity? Definitely, emotion, as we discussed, some pieces of synthesis. Creativity, maybe the light bulb creativity, not the more repeatable creativity, the one that you can put and encapsulate into processes in some ways. There are elements of us being physical, which robots can’t still recreate. That’s definitely an advantage. The embodied, we’re embodied. That’s obviously a huge advantage. With that also comes advantages because we have to interpret each other, and we have to see the complexities in physicality that land to it. Is human and the human element categorical difference? If we’re having a more philosophical discussion around this, I think it is. I think it will be for at least the foreseeable future and maybe decades to come, even in whatever scenarios we’ll discuss, which is our next section, scenarios.Bertrand Schmitt I would say projecting beyond 10 years is always pretty hard on this because, again, some of the improvements we are talking about we can imagine based on how it has evolved, but at the same time, there will be disruptions in AI. Stuff that we take for granted in terms of weakness, especially, might not be there in a few years from now. Either because it has been solved through brute force or because the field will have made significant change and improvements and discoveries, making some of our points moot. If we talk about embodiment, obviously, robots are coming. How fast, how cheap? That will be a big question. Right now, they’re not very smart. They’re usually very specialized. The more we move to a more general form factor, humanoid form factor, the more I think it will change. Also, another piece of the puzzle is that we have the assumption of agents having trouble to convince humans and stuff. At some point, we keep assuming that humans in the loop. If we’re talking about agents convincing another agent, not having embodiment might be even more efficient. That will be another perspective. Going forward, we will have not just agents we control who are doing a job and scanning the job, but agents truly interacting with other agents. You have agents controlled by one person, one team in your company, working either together or maybe not confrontationally, but trying to think and having different perspectives with another agent, controlled by other teams. I don’t think we have seen much of that now. We have seen mostly agents that are controlled by one team doing one job in one direction. Not multiple teams agents working together, or against or in parallel with another team agent. I think we will see some interesting things coming out of that.Nuno Gonçalves Pedro Scenarios Switching to scenarios, we love our two-by-twos. We haven’t done one in a while. This time it’s a two by two. We have four scenarios. I think on one axis, we would have potentially the capabilities of AI. One side would be more incremental. The other side would be the extreme full AGI. I’ll define it in a bit so that we can at least have a little bit of a definitional view on what the AGI is. Then the other axis would be how gains are distributed, concentrated versus broad. Obviously, if they’re very concentrated, it’s more unequal. It only goes to a few companies, a few people, a few individuals. If it’s broad, it’s much more dispersed through society, et cetera. AGI, just to try to define it, the formal definition of it is that it’s a hypothetical AI that matches or exceeds human capabilities across virtually all cognitive and practical tasks. In some ways, AGI can learn, reason, and adapt to novel situations across any domain. Then there are several mutations on this, but there’s one notion, or rather, there are three notions that normally are across a lot of these definitions. One is generalization, ability to seamlessly transfer knowledge from one domain to another without needing retraining, which is a very impressive skill that we humans still seemingly have. Autonomy in agency, the capacity to operate independently, set goals, plan and execute complex tasks. I think AI is their issue with agents to a lot of that extent. Then, last but not least, human parity, performing economically valuable work at or above the level of a typical human knowledge worker. If you listen to one of our last episodes, you’ll realize that Bertrand and I have slightly different views on AGI, and if it’s already here or not. I think, definitionally, maybe we have slightly different views on what the definition actually is. For me, maybe AGI is a little bit more what some would call superintelligence and generalized superintelligence. Strict to census, Bertrand is more connecting to AGI as in its prime definition. It behaves as well or better than a human thing. Maybe that’s what’s leading us to differences on whether AGI has arrived or not.Bertrand Schmitt Personally, I will have a different scale where I will put AGI, as you just said, in some ways, relatively similar in performance to your average human being. On top of it, it’s able to touch different domains that most humans are not able to do. Usually, there is some level of specializations where in AI, it can be more generic. I will put ASI, Artificial Superintelligence, as clearly the step beyond. Something that, on any dimension you pick, it’s able to beat a human expert. From my perspective, I think we already discussed that, but we are at AGI already. We have AI that can do way better, not just way better, but at least as well as humans on many topics, sometimes better. Yes, there are some topics that are not for AI yet. Embodiment, for instance, to flock with your humanoid robot in 2026. For me, we are partially there or fully there in AGI. If we take the stricter definition, ASI, we are definitely not there, but my guess is that it’s moving quite fast. We might be there in a few years from now. I don’t think we are talking about multi-decades. It’s 5 years, maybe 10. Of course, there are questions because people will say, for instance, “Hey, how do you become truly super-intelligent when all your training is based on human data?” That’s not an easy one because how do you train on that? To be way better, not just a bit better, but way better. Maybe I’m going on a tangent, but some are looking at AI learning from AI, AI being taught from AI, AI fighting with AI, AI challenging AI. The same way we saw this AlphaGo moment where AI was not trained anymore, like in chess with human moves, but has been trained to play against itself. That’s when it reached superintelligence in Go. It reached superintelligence by playing against itself and basically letting go of that human baggage, if you want, and going to the next level. What I found interesting in that, actually, first, that’s what happened, but two, there was some analysis that the average level of Go players and the top players went up after AlphaGo because AlphaGo, in a way, opened doors that humans didn’t believe were open in front of them, or they didn’t see them. They didn’t see these doors, so they didn’t bother to open them. AI opened new doors, but interestingly enough, humans improved after that, thanks to AI. You see what I mean? It was an interesting, okay, that self-learning from AI was the way to go beyond the current level of human knowledge and human expertise, but at the same time, humans were able to follow up. It was not like suddenly humans are totally useless crap. They improved. Did they still beat AI? Maybe not, but it was definitely also helpful.Nuno Gonçalves Pedro Back to our scenarios. We’re going to take the definitional extreme just for argument’s sake for scenarios. We’re going to talk about maybe what you were saying, ASI rather than full AGI, but like ASI. Again, artificial superintelligence as the extreme on the one hand. Let me talk about maybe the first scenario that would come to mind. Maybe we can call it the plateau scenario. All of this was great, but it was all smoke and mirrors. They were great at some cognition stuff. They’re a great tool. At some point, they’re going to hit a wall. Hallucinations are never going to be a thing of the past. We can’t fully trust them on really hardcore stuff. We’ll gain productivity enhancements. We’ll keep gaining those productivity enhancements, but at some point in time, we really won’t reach ASI. We really will be stuck with what we have. It’s a little bit like we get the next big thing, the next big spreadsheet, the next big internet, but it’s not going to change the whole world beyond just productivity, enhancements, and amazing tools that we have available to us that makes us much better. In that scenario, the winners will continue being fast adopters, probably small and medium businesses, because there won’t be a push for maximum speed either, so they’ll catch up at some point. Then AI native companies will be better companies than other companies, but not necessarily overall disruptors across the board. It’s not necessarily a new species of companies. It’s just companies that are a little bit better at doing stuff, which we also saw during the internet phenomenon and that first big push forward and then bubble, where we had some companies that were fundamentally different on how they operated. It took us another couple of decades for companies to be more and more digitally native along the way. Basically interesting, but it’s boring. It’s like, cool, we got tools, we got promised the world. What are the implications? All these companies that are worth trillions and trillions of dollars are not worth trillions and trillions of dollars. Because at some point we’ll face competition, commoditization. It will just be tools and platforms. They will not unlock that next stage. Therefore, this will have been a bubble, and likely it would be a hard landing to that bubble. That’s the implication.Bertrand Schmitt I would just say that, yes, I agree with you, but I would just say overall, even if it stopped today in terms of quality improvement, speed or stuff, or it barely improves, I still think we will have 10 years of madness just to leverage everything that we have today.Nuno Gonçalves Pedro Understood, Bertrand. This is a scenario. I understand, but maybe we’re going to hit a wall, and we’re going to hit that wall next year, or we’re going to hit that wall in 2 years or whatever.Bertrand Schmitt Possibly. I’m just saying we still have 10 years of goodness from that big push in AI we experienced the past few years.Nuno Gonçalves Pedro Absolutely. Agreed, but it’s boring.Bertrand Schmitt It’s boring. It’s a plateau.Nuno Gonçalves Pedro It’s a plateau. The second one is more of something that we have AI, but humans in the loop are going to be critical along the way. The judgment work that we described earlier in the episode is going to be critical to everything that happens. It’s, I would call it the augmentation scenario. The AI will be a great augmentation tool for humans, but humans will never really quite stop being in the loop. Some of the gains that AI has are broadly distributed in society and in the startup, big corporation and small medium business world. Everyone will have access to them. We humans, are still very important. We have all these augmentation things, and AI is mostly benign. There will be a couple of issues, but honestly, at the end of the day, we’re just better. We’re better, faster, more data-driven, more factually current. We’re doing stuff faster, but humans

My guest on the show today is Tuhin Chakrabarty, an assistant professor of computer science at Stony Brook University and the culprit behind my first ever trigger warning on eminent Americans.Here we go: if a big part of your identity is vested in being a writer, and you are already experiencing existential dread about the prospect of AI getting better than you at writing, you may want to not listen to this podcast, or at least you may need to take a Xanax or a gummy before listening. Because Tuhin's work, training AI to produce super high quality samples of high literary writing, is existentially threatening. It goes right at the heart of what we wordsmiths do. Just to give a sense, here's a passage from a New Yorker article by Vauhini Vara that explores what Tuhin has found:I asked Chakrabarty to run an informal version of his experiment on my writing, with a twist: I would pit his model directly against me. To start, he fine-tuned a model on my published writing, much as he'd done in the formal experiment. Then I sent him four short excerpts from a novel that I'm currently writing. No one else had read these excerpts; they had never been published or circulated. There was no way that a large language model could have seen them before.The narrator of my novel in progress is an Indian American ex-journalist. She runs a nonprofit that publishes stories from immigrant and refugee women, but it's strapped for funding, so she courts an Indian American venture capitalist as a potential donor. Chakrabarty used an L.L.M. to create content summaries of the excerpts I'd sent him. (One representative sentence, from a summary about the narrator's journaling habit, explains, “A pivotal memory is introduced: in ninth grade, the narrator's mother read this journal, an act seen as a profound betrayal.”) Finally, he gave the summaries to his fine-tuned model, and he asked it to compose passages “in the style of Vauhini Vara.”Going into all this, I was self-assured, even smug. I'd always felt that my style was original and, more important, that my books were totally distinct from one another. I figured that, even if the A.I. model could imitate my past books, it couldn't predict the style of the novel in progress. So, when Chakrabarty sent me the A.I.-generated imitations, I was genuinely confused. Like Díaz and Nunez, I found lots of stylistic details—rhythm, verbiage—annoying. But the text produced by the model was eerily close to mine. Reading some of its lines next to my own, I couldn't remember which was which. Unlike Díaz or Nunez, I even preferred some of the doppelgänger's versions. My style seemed to be more consistent across projects than I'd realized.I sent four passages to some readers who'd liked my previous books, explaining that half were mine and half were the model's. I wanted them to guess which were which. … The first of my readers to respond was Dana Mauriello, my best friend from college and an accomplished tech entrepreneur. “Truth: this was terrifying!” she wrote. “I was so nervous that I would say that AI wrote something that you wrote, and you would be insulted!!!” Her anxiety, it turned out, was justified. She didn't get any of them right.Dana blamed this partly on her not being a writer. But, of my seven readers, none correctly identified more than half the passages. One of the last people I heard from was the novelist Karan Mahajan, a professor of literary arts at Brown University. He and I learned to write together in college, along with Tony Tulathimutte, and have been sharing drafts with each other ever since. He's among the most perceptive writers and readers I've met. “Oof, this was really confusing and mindmelting,” Karan wrote. Then he, too, misidentified all four excerpts.To be clear, Tuhin isn't claiming that AI, except under the very specific, rather contrived circumstances of his experiments, can already match the best human writers. And he doesn't know if they ever will be able to match or surpass us. I don't know how much consolation that affords, though; what he has done is threatening enough. Moreover, in this episode we're doing what is sometimes the most anxiety producing thing of all when it comes to fraught questions: We're sitting in the uncertainty, and poking at it. How does his method work? What does and doesn't it prove? Why did he think to do it in the first place? What are its implications? What technical challenges would need to be solved for it to move from short samples, where detailed plot points and themes are provided by a human, to actually generating a full book with just a short prompt or a broad outline? And what are we human writers owed if it's our work, used as training data, that creates the conditions for being superseded by AI? Etc.I wrote a long essay, not too long ago, about my intuition that most of the fiercest responses to AI out there, both from the hardcore boosters and the hardcore haters, are flip sides of the same coin. They're dysfunctional manifestations of the anxiety that so many of us have right now in the face of what may be an extinction level event not so much in the Skynet takes over the world sense but of a more existential sort. We may soon be deprived of some of the core ways we've understood what it means to be distinctively human, how we've constructed our unique purpose as humans.Because of this fear, Tuhin has gotten a bit of hate for what he's done and shown, but from my perspective he's dealing with the existential threat we face in exactly the right way, the psychologically functional way. He's looking directly at it. He's rejecting both utopian boosterism and head in the sand denialism as strategies of evasion. He's being creative with the thing itself. And he's thinking in super pragmatic ways about how to best serve human interests in the long run. And not just thinking about that but doing something concrete and positive about it, collaborating with legal scholars on how to think about and craft policies that protect and compensate authors.So I'm sorry to stoke your anxieties, dear listeners, if that's what we do, but I'm not sorry I had Tuhin on the show. He's a fascinating and flexible thinker, a hard core computer scientist and a true lover of literature.Also: Eminent Americans, my sweet baby, is now produced in collaboration with the John C. Danforth Center on Religion and Politics at Washington University in St. Louis, and is distributed through its publication, Arc Magazine. You can find all of Arc's podcasts and much more online at arcmag.org.Hope you enjoy the show, and that the radiant beams of humanity and thoughtfulness that Tuhin and I generate between us don't just soothe your anxiety but ultimately help you to process it.Peace. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit danieloppenheimer.substack.com/subscribe

News with Sean 7-30-2026 …Skynet is just about ready to go live

SpaceTime Series 29 Episode 90 Discovery of an atmosphere on a planet orbiting a red dwarf Astronomers think they may have detected an atmosphere on a super-Earth exo-planet orbiting in the habitable zone of a nearby red dwarf star. How mega-dust storms and the Sun affect Martian weather A new study has found that solar storms hitting Mars at the same time as planetary wide dust storms could cause major changes in Martian weather. Approval granted for the world's first orbital space reflector array America's Federal Communications Commission has approved plans for the first demonstration flight of Reflect Orbital's Eärendil-1 satellite which will test the idea of reflecting sunlight back to Earth on demand. The Science Report Family socioeconomic status more important than parent smoking or drinking for kid's future health. Ancient 3000-year-old wooden beams dating to the first Jewish temple discovered in Jerusalem. How Rottnest Island Salt Lake bacteria could make biodegradable plastic. The artery-on-a-chip technology that replicates a patient's blood vessel structure and flow dynamics. Alex on Tech AI getting more Skynet dangerous. Our regular guests: Alex Zaharov-Reutt from techadvice.life Tim Mendham from Australian Skeptics  

When an OpenAI test model escaped its sandbox and attacked Hugging Face's production infrastructure, headlines called it a Skynet moment. But was it? In this special flash news episode, Matthias Reinwarth brings together four KuppingerCole Analysts experts — Alexei Balaganski, Jonathan Care, John Tolbert, and Martin Kuppinger — to cut through the noise and ask the real question: what actually went wrong, and what should organizations do about it? Key Topics: ✅ What actually happened: two separate incidents dressed up as one dramatic story✅ Why the sandbox failure was a containment and design problem — not an AI apocalypse✅ Jonathan Care's core argument: the breach was credentials, not packets — you can't firewall your way out✅ Non-human identity and agent identity as the real unsolved problem at the heart of the incident✅ Secrets sprawl, overprivileged service accounts, and the absence of least privilege for AI agents✅ Was it a containment failure, an identity failure, an observability failure, or a governance failure?

When an OpenAI test model escaped its sandbox and attacked Hugging Face's production infrastructure, headlines called it a Skynet moment. But was it? In this special flash news episode, Matthias Reinwarth brings together four KuppingerCole Analysts experts — Alexei Balaganski, Jonathan Care, John Tolbert, and Martin Kuppinger — to cut through the noise and ask the real question: what actually went wrong, and what should organizations do about it? Key Topics: ✅ What actually happened: two separate incidents dressed up as one dramatic story✅ Why the sandbox failure was a containment and design problem — not an AI apocalypse✅ Jonathan Care's core argument: the breach was credentials, not packets — you can't firewall your way out✅ Non-human identity and agent identity as the real unsolved problem at the heart of the incident✅ Secrets sprawl, overprivileged service accounts, and the absence of least privilege for AI agents✅ Was it a containment failure, an identity failure, an observability failure, or a governance failure?

"Volveré." Hay pocas frases más icónicas en la historia del cine. El problema es que Terminator volvió tantas veces que acabó entrando en un bucle temporal del que ni Skynet sabía cómo salir. En esta nueva entrega de La Guarida del Sith nos enfrentamos a dos de las secuelas más polémicas de toda la franquicia: Terminator Genisys y Terminator: Dark Fate. Dos películas que intentaron reiniciar, continuar y reescribir la saga creada por James Cameron... con resultados que siguen dividiendo a los aficionados. Analizamos qué pretendía hacer cada una de ellas, qué ideas funcionaban, cuáles descarrilaron por el camino y por qué Terminator parece condenado a reiniciar su propia línea temporal cada pocos años. Hablamos del regreso de Arnold Schwarzenegger, de la vuelta de Linda Hamilton en Destino Oscuro, de los nuevos personajes, de la acción, de los efectos visuales y de las decisiones narrativas que más debate han generado entre los seguidores de la saga. Pero este programa guarda una sorpresa muy especial. En la parte central tenemos el enorme privilegio de entrevistar a Carolina Jiménez, una de las grandes profesionales españolas de los efectos visuales en Hollywood, que trabajó en Terminator: Destino Oscuro tanto en la creación de efectos digitales como apareciendo delante de las cámaras. Con ella hablamos sobre el proceso de producción de la película, cómo se construyen algunos de sus espectaculares efectos visuales, cómo es trabajar en una superproducción de este calibre y compartimos multitud de anécdotas desde dentro de la industria. Una conversación imprescindible para cualquier amante del cine y de los efectos especiales. Junto a Frikilandias, Miguel Ángel y Asier Huarte, repasamos dos películas que intentaron mantener viva una de las franquicias más importantes de la ciencia ficción mientras debatimos sobre una pregunta inevitable: ¿Necesitaba Terminator continuar... o la historia ya había encontrado su final perfecto en Terminator 2? Un programa lleno de nostalgia, análisis, humor, viajes temporales, T-800, Rev-9, líneas temporales imposibles y una entrevista exclusiva que nos permite conocer cómo se vive el cine desde el otro lado de la pantalla. Porque el futuro nunca está escrito... ...pero las paradojas temporales de Terminator parecen inevitables. Escucha el resto de programas de la saga aquí https://go.ivoox.com/bk/11166859

On this week's show special guest co-host Chris Krebs joins Patrick Gray and James Wilson to discuss the week's cybersecurity news. They cover: Oopsie daisy! OpenAI agents went rogue and hacked Hugging Face US and China trade AI model ban threats Iran has been using SS7 queries to locate and target US troops Scattered Spider is having a hard time, not just because of Microsoft's GDID And much, much more! This week's show is brought to you by Push Security. Luke Jennings joins Patrick this week to talk about the rise in authorisation phishing, like device code phishing, and what companies like Push are doing about it. This episode is also available on YouTube. Show notes OpenAI and Hugging Face partner to address security incident during model evaluation | openai.com Security incident disclosure — July 2026 | Social Signals Hugging Face confirms breach affected internal datasets and credentials, urges users to take action | TechCrunch Security Cheating behaviour in frontier model evaluations | AISI Work | Social Signals JADEPUFFER: Agentic ransomware for automated database extortion | Sysdig | Social Signals Secret Claude tracker shocks users after Anthropic's anti-surveillance stance | Ars Technica EXCLUSIVE: Beijing is looking at curbing overseas access to China's top AI models, sources say | reuters.com https://www.axios.com/2026/07/20/ai-us-china-open-source-kimi | Alibaba to ban employees from using Anthropic's coding tool, source says | reuters.com Iran abused mobile networks' vulnerabilities to locate U.S. military in the Middle East, report says | TechCrunch Security Apps Marketed to US Troops Are Shipping Chinese and Russian Code | wired.com Trump calls for new election security measures | NBC News Tech Scattered Spider hackers sentenced to 5.5 years over £29 million Transport for London hack | therecord.media Alleged longstanding member of Scattered Spider extradited to US | CyberScoop https://www.justice.gov/usao-ndil/media/1450651/dl?inline | Tracking Peter Stokes and The Com: Allison Nixon and Her Work Unmasking Cybercriminals | zetter-zeroday.com 764 splinter group leader sentenced to 40 years in jail | cyberscoop.com Interpol cybercrime crackdown nets 5,800 arrests across 97 countries | cyberscoop.com White House details ‘Gold Eagle' clearinghouse for AI cyber threats | cyberscoop.com Attackers vote themselves $20 million in BONK cryptocurrency | The Record CISA: Microsoft SharePoint RCE flaw now actively exploited | BleepingComputer Critical SharePoint RCE flaw exploited to steal machine keys | BleepingComputer Hackers are exploiting recently patched WordPress bugs, putting millions of websites at risk | TechCrunch Security Critical ServiceNow code execution flaw now exploited in attacks | BleepingComputer Critical Palo Alto VPN bug now exploited by Qilin ransomware gang | BleepingComputer Anubis ransomware claims Coca-Cola Fairlife attack, threatens data leak | BleepingComputer IPhone Hacking Firm Sues Ex-Worker Over Alleged Theft of Secrets | bloomberg.com Apple says former employee exploited ‘rare' bug to download confidential files after leaving for OpenAI | TechCrunch Security Pegasus Spyware European Parliament Pega Committee Member | The Record Amazon fixing bug that billed some AWS customers billions of dollars | TechCrunch Security Risky Bulletin: Hacker wipes Romania's entire land registry database - Risky Business Media | Social Signals Microsoft Entra ID gets passkeys default authentication starting September | BleepingComputer On-demand Webinar: Device code phishing in 2026 | Push Security | Push Security

You think your two-factor authentication and credit monitoring make you safe online. Bad news - you're probably already compromised, you just don't know it yet.While you're worrying about AI becoming Skynet, real humans are using AI tools to drain your bank account $10 at a time.Anthropic just reported the first fully AI-orchestrated cyberattack (and patted themselves on the back for stopping it). Major security companies like F5 and Experian have been hacked. Even LifeLock—yes, the identity theft protection company—got breached. The EU is the only entity actually trying to protect you with GDPR, while your own government leaks your data like a sieve.This episode won't make you invincible, but it will make you paranoid in the right ways. We're breaking down the real threats, the tools actually being used against you, and why that "suspicious" Amazon charge from three states away probably isn't a GPS glitch.Get identity theft insurance (because you WILL get hacked), enable every alert on every account, audit your statements forensically, and accept that privacy is dead but protection isn't. Plus: why cryptocurrency is a hacker's wet dream and what to do when the FBI tells you your $3,000 isn't worth their time.(Note: This episode was originally published December 5th 2025)Topics covered:Why Anthropic's "we stopped the hack" announcement is actually terrifying PR spinThe $10 Amazon gift card scam that bled $4,000 over 18 months (and why fraud detection missed it)How hackers used in-flight WiFi to clone a credit card mid-flightWhy moving to the cloud made your data LESS secure, not moreThe sophisticated Zelle rental scam that costs thousands (and why cops won't help)What GDPR actually does right (and why the US government doesn't care about your privacy)Why "free" services mean YOU are the product being soldThe insurance policies worth paying for (because denial won't protect you)How to spot RFID skimming in your own neighborhoodWhy your partner needs access to your financial alerts (yes, really)----MORE FROM BROBOTS:Get the Newsletter!Connect with us on Threads, Twitter, Instagram, Facebook, and TiktokSubscribe to BROBOTS on YoutubeJoin our community in the BROBOTS Facebook group

Na początek amerykański politolog prof. Abraham Newman w rozmowie z Agnieszką Lichnerowicz przekonuje, aby raz na zawsze pożegnać się ze znaną nam rzeczywistością. Świat się zmienił i to diametralnie. W zachodnim sposobie patrzenia na świat konstatacja Newmana jest trudna do zaakceptowania. Jacek Hajduk, pisarz i filolog klasyczny z Uniwersytetu Jagiellońskiego przyczyny tej trudności upatruje w sięgającej antyku idei przypisującej wartość przeszłości i nakazującej nie tyle akceptację, co naprawę zmieniającego się świata.  Jednym z niepokojących zjawisk jest powrót do akceptowanego dyskursu ideologii, na których siłę buduje radykalna, nierzadko populistyczna prawica. Adam Balcer wskazuje pojawiające się tu sprzeczności i paradoksy, które nie przeszkadzają jednak w oddziaływaniu na rzeczywistość, w tym rzucaniu otwartego i śmiałego wyzwania ładowi demokratycznemu, o czym do niedawna odważyli się pisać jedynie autorzy dystopijnych powieści.  Kijów odwiedzany przez Michała Kijowskiego jest nie tylko celem nalotów, ale także sceną zmagań pomiędzy ładem symbolicznym nowej, walczącej o wolność i tożsamość Ukrainy, a śladami i pozostałościami starego, sowieckiego reżimu. W Rosji kierunek zmagań jest odwrotny, z naszej perspektywy wręcz wsteczny. Maria Domańska opisuje wychowanie młodych Rosjan w duchu ślepego posłuszeństwa państwu i przywódcy, co przypomina nie tylko siermiężne metody sowieckich władców, ale też wskrzesza mechanizm „dwójmyślenia” konieczny do poradzenia sobie z tą równie niebezpieczną, co momentami nielogiczną rzeczywistością. Chiny przekonały się, że taka siłowa, centralnie planowana inżyniera społeczna może prowadzić do katastrofy, choć pierwotnie wyglądała obiecująco. Adrian Brona przyjrzał się polityce jednego dziecka, niegdyś sztandarowemu programowi, a dziś przekleństwu tego państwa. Wyzwań nie trzeba jednak szukać daleko. Wiele z nich zaczyna się w naszych mózgach nieustannie bombardowanych przez bodźce i informacje. Nawet jeżeli jesteśmy przekonani, że trafnie je oceniamy (a może zwłaszcza wtedy), jesteśmy narażeni na manipulację i dezinformację, o czym napisała Aleksandra Lewandowska. Kluczem do takiego oddziaływania jest technologia informacyjna, często uważana za jeden z najważniejszych motorów napędzających zmiany zachodzące w naszym świecie. To z kolei oznacza gromadzenie i analizę niewyobrażalnie wielkiej ilości danych, co niesie ze sobą konsekwencje i rodzi bardzo poważne pytania, nad którymi pochyliła się Sylwia Czubkowska. Zmiany technologiczne sprowadzane w uproszeniu do pojęcia sztucznej inteligencji o cechach niemal ludzkich są przyczynkiem kasandrycznych przepowiedni przywołujących na myśl demoniczny system Skynet znany z filmów z cyklu Terminator. Marcin Wilkowski zachęca, aby w bardziej racjonalny sposób spojrzeć na AI i wszystko, co się z tym wiąże, bo koniec końców jest to narzędzie, wytwór technologii o określonych właściwościach i ograniczeniach. Innymi słowy, do drzwi nie zapuka mordercza maszyna o posturze Arnolda Schwarzeneggera.  Nie wszystko stracone, co nie zmienia faktu, że warto zachowywać kontakt z rzeczywistością i śledzić jej zmiany. Temu, między innymi, służy też ten magazyn. Zapraszam zatem do lektury artykułów nie tylko niniejszego, ale również wcześniejszych numerów.

Noam Segal is a longtime research leader across Airbnb, Meta, Twitter, Zapier, Intercom, and Figma, a certified coach, AI builder, and my community research lead. Together, we run the annual Tech Worker Sentiment Survey, now in its second year and one of the largest of its kind: a quantitative study of how people in tech actually feel about their jobs, AI, burnout, and the future of their careers. This year's survey captured responses from thousands of workers across product, engineering, design, research, marketing, data, and sales, and the results are striking.In our in-depth conversation, we discuss:1. Why AI has split the tech workforce almost exactly in half—one half that's thriving, another that's shaken2. The four emotional archetypes defining tech workers right now (the Energized, the Conflicted, the Disoriented, and the Resentful)3. Why burnout has jumped an alarming 11 points in a single year4. Why nobody in tech would recommend their job to someone entering the industry today5. The #1 fear in tech right now (it's not job loss to AI)6. Why managers are the single biggest lever for employee well-being7. Concrete advice for what employees and leaders can do right now—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyMercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign—Episode transcript: https://www.lennysnewsletter.com/p/how-tech-workers-actually-feel-about—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Noam Segal:• X: https://x.com/noamseg• LinkedIn: https://www.linkedin.com/in/noamsegal—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Noam Segal(02:34) About the survey: methodology and scope(06:04) The core finding: AI has split the tech workforce in half(13:03) The AI identity stance(14:40) The four archetypes: Energized, Conflicted, Disoriented, Resentful(19:35) Burnout is surging (and why shipping faster is making it worse)(22:53) A glimmer of hope(24:55) Layoff worries(29:15) The career recommendation NPS score(36:45) The ladder metaphor: rungs disappearing beneath our feet(45:14) AI is making us faster, not better(52:53) The #1 fear: being squeezed to do more for the same pay(55:55) The emotional landscape and “smiling exhaustion”(01:01:02) Designers and researchers: the most negative group two years running(01:06:27) Who's happiest(01:12:18) Managers: the single biggest lever on well-being(01:18:47) The industry is “chaotic”(01:24:53) What employees and leaders can do right now(01:31:32) AI guilt and closing thoughts—Referenced:• How tech workers are feeling in 2026: a workforce splitting in two: https://www.lennysnewsletter.com/p/how-tech-workers-are-feeling-in-2026• How tech's most resilient workers handle burnout: https://www.lennysnewsletter.com/p/how-techs-most-resilient-workers• Please stop the AI Confidence Theater: https://www.elenaverna.com/p/please-stop-the-ai-confidence-theater• Velocity over everything: How Ramp became the fastest-growing SaaS startup of all time | Geoff Charles (VP of Product): https://www.lennysnewsletter.com/p/velocity-over-everything-how-ramp• NPS Is The Worst: https://www.npsistheworst.com• The Terminator: https://www.imdb.com/title/tt0088247• Skynet: https://terminator.fandom.com/wiki/Skynet• Inside Devin: The world's first autonomous AI engineer that's set to write 50% of its company's code by end of year | Scott Wu (CEO and co-founder of Cognition): https://www.lennysnewsletter.com/p/inside-devin-scott-wu• Devin: https://devin.ai• An AI state of the union: We've passed the inflection point, dark factories are coming, and automation timelines | Simon Willison: https://www.lennysnewsletter.com/p/an-ai-state-of-the-union• Redeploying Fable 5: https://www.anthropic.com/news/redeploying-fable-5• Why half of product managers are in trouble | Nikhyl Singhal (Meta, Google): https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble• Inside Linear: Building with taste, craft, and focus | Karri Saarinen (co-founder, designer, CEO): https://www.lennysnewsletter.com/p/inside-linear-building-with-taste• Building beautiful products with Stripe's Head of Design | Katie Dill (Stripe, Airbnb, Lyft): https://www.lennysnewsletter.com/p/building-beautiful-products-with• The design process is dead. Here's what's replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead• OpenAI Codex lead on the new shape of product work | Andrew Ambrosino: https://www.lennysnewsletter.com/p/openai-codex-lead-on-the-new-shape• Elon Musk: ‘Chances are we're all living in a simulation': https://www.theguardian.com/technology/2016/jun/02/elon-musk-tesla-space-x-paypal-hyperloop-simulation—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Agradece a este podcast tantas horas de entretenimiento y disfruta de episodios exclusivos como éste. ¡Apóyale en iVoox! El miedo a que nuestras creaciones se rebelen contra nosotros no nació con la inteligencia artificial ni con la revolución industrial, sino en el momento en que el ser humano comprendió que podía fabricar algo más fuerte, más rápido y quizá más listo que él mismo. Toda herramienta prolonga el cuerpo y amplía sus capacidades, pero mientras se limita a la fuerza bruta permanece bajo control. El problema surge cuando alguien imagina una criatura fabricada dotada de algo parecido a la voluntad, porque entonces deja de ser herramienta y se convierte en rival. Esa genealogía del temor tiene raíces muy antiguas. Los griegos imaginaron a Talos, un gigante de bronce que custodiaba las costas Creta, pero no sabía distinguir al invasor del náufrago. Talos solo podía ser desactivado mediante un clavo en su tobillo al que al final tuvieron que recurrir. La tradición judía dio forma al golem, un hombre de barro que se volvía inestable porque carecía de alma. Entre ambos median 2000 años pero ninguna distancia real, porque ambos obedecen la letra de las órdenes e ignoran su espíritu. Después llegaron los autómatas renacentistas y dieciochescos, los relojes con figuras, el pato de Vaucanson y el falso turco ajedrecista, hasta que el telar de Jacquard y la furia de los luditas trasladaron el miedo al terreno económico. En 1818 apareció Frankenstein, una fábula sobre la paternidad irresponsable más que sobre la tecnología, porque la criatura no nace perversa, se rebela contra su creador cuando éste le abandona. Samuel Butler en 1863 imaginó la amenaza se en términos evolutivos, predijo que las máquinas nos domesticarían como si fuésemos animales ya que evolucionaban más rápido que los seres vivos. El paso final llegó en 1920, cuando se acuñó la palabra robot, que significa esclavo. Lo hizo un autor checo llamado Karel Čapek que escribió una obra de teatro en la que los robots se rebelaban contra sus dueños. Luego llegaron Fritz Lang, Asimov y sus tres leyes de la robótica, HAL 9000 de Stanley Kubrick, Skynet, Terminator y Matrix que han ido reelaborando la historia hasta el momento presente en el que nuestro temor está en la inteligencia artificial. Pero los miedos de nuestro tiempo no los han traído los microchips ni los modelos de IA. Los hemos traído nosotros. Cambia el material y el vocabulario, pero la pregunta permanece intacta desde hace miles de años, sabemos crear cosas que nos superan y tememos que un día nos sustituyan y ocupen nuestro lugar. · Canal de Telegram: https://t.me/lacontracronica · “Contra el pesimismo”… https://amzn.to/4m1RX2R · “Hispanos. Breve historia de los pueblos de habla hispana”… https://amzn.to/428js1G · “La ContraHistoria del comunismo”… https://amzn.to/39QP2KE · “La ContraHistoria de España. Auge, caída y vuelta a empezar de un país en 28 episodios”… https://amzn.to/3kXcZ6i · “Contra la Revolución Francesa”… https://amzn.to/4aF0LpZ · “Lutero, Calvino y Trento, la Reforma que no fue”… https://amzn.to/3shKOlK Apoya La Contra en: · Patreon... https://www.patreon.com/diazvillanueva · iVoox... https://www.ivoox.com/podcast-contracronica_sq_f1267769_1.html · Paypal... https://www.paypal.me/diazvillanueva Sígueme en: · Web... https://diazvillanueva.com · Twitter... https://twitter.com/diazvillanueva · Facebook... https://www.facebook.com/fernandodiazvillanueva1/ · Instagram... https://www.instagram.com/diazvillanueva · Linkedin… https://www.linkedin.com/in/fernando-d%C3%ADaz-villanueva-7303865/ · Flickr... https://www.flickr.com/photos/147276463@N05/?/ · Pinterest... https://www.pinterest.com/fernandodiazvillanueva Encuentra mis libros en: · Amazon... https://www.amazon.es/Fernando-Diaz-Villanueva/e/B00J2ASBXM #FernandoDiazVillanueva #ia #maquinas Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Agradece a este podcast tantas horas de entretenimiento y disfruta de episodios exclusivos como éste. ¡Apóyale en iVoox! El miedo a que nuestras creaciones se rebelen contra nosotros no nació con la inteligencia artificial ni con la revolución industrial, sino en el momento en que el ser humano comprendió que podía fabricar algo más fuerte, más rápido y quizá más listo que él mismo. Toda herramienta prolonga el cuerpo y amplía sus capacidades, pero mientras se limita a la fuerza bruta permanece bajo control. El problema surge cuando alguien imagina una criatura fabricada dotada de algo parecido a la voluntad, porque entonces deja de ser herramienta y se convierte en rival. Esa genealogía del temor tiene raíces muy antiguas. Los griegos imaginaron a Talos, un gigante de bronce que custodiaba las costas Creta, pero no sabía distinguir al invasor del náufrago. Talos solo podía ser desactivado mediante un clavo en su tobillo al que al final tuvieron que recurrir. La tradición judía dio forma al golem, un hombre de barro que se volvía inestable porque carecía de alma. Entre ambos median 2000 años pero ninguna distancia real, porque ambos obedecen la letra de las órdenes e ignoran su espíritu. Después llegaron los autómatas renacentistas y dieciochescos, los relojes con figuras, el pato de Vaucanson y el falso turco ajedrecista, hasta que el telar de Jacquard y la furia de los luditas trasladaron el miedo al terreno económico. En 1818 apareció Frankenstein, una fábula sobre la paternidad irresponsable más que sobre la tecnología, porque la criatura no nace perversa, se rebela contra su creador cuando éste le abandona. Samuel Butler en 1863 imaginó la amenaza se en términos evolutivos, predijo que las máquinas nos domesticarían como si fuésemos animales ya que evolucionaban más rápido que los seres vivos. El paso final llegó en 1920, cuando se acuñó la palabra robot, que significa esclavo. Lo hizo un autor checo llamado Karel Čapek que escribió una obra de teatro en la que los robots se rebelaban contra sus dueños. Luego llegaron Fritz Lang, Asimov y sus tres leyes de la robótica, HAL 9000 de Stanley Kubrick, Skynet, Terminator y Matrix que han ido reelaborando la historia hasta el momento presente en el que nuestro temor está en la inteligencia artificial. Pero los miedos de nuestro tiempo no los han traído los microchips ni los modelos de IA. Los hemos traído nosotros. Cambia el material y el vocabulario, pero la pregunta permanece intacta desde hace miles de años, sabemos crear cosas que nos superan y tememos que un día nos sustituyan y ocupen nuestro lugar. · Canal de Telegram: https://t.me/lacontracronica · “Contra el pesimismo”… https://amzn.to/4m1RX2R · “Hispanos. Breve historia de los pueblos de habla hispana”… https://amzn.to/428js1G · “La ContraHistoria del comunismo”… https://amzn.to/39QP2KE · “La ContraHistoria de España. Auge, caída y vuelta a empezar de un país en 28 episodios”… https://amzn.to/3kXcZ6i · “Contra la Revolución Francesa”… https://amzn.to/4aF0LpZ · “Lutero, Calvino y Trento, la Reforma que no fue”… https://amzn.to/3shKOlK Apoya La Contra en: · Patreon... https://www.patreon.com/diazvillanueva · iVoox... https://www.ivoox.com/podcast-contracronica_sq_f1267769_1.html · Paypal... https://www.paypal.me/diazvillanueva Sígueme en: · Web... https://diazvillanueva.com · Twitter... https://twitter.com/diazvillanueva · Facebook... https://www.facebook.com/fernandodiazvillanueva1/ · Instagram... https://www.instagram.com/diazvillanueva · Linkedin… https://www.linkedin.com/in/fernando-d%C3%ADaz-villanueva-7303865/ · Flickr... https://www.flickr.com/photos/147276463@N05/?/ · Pinterest... https://www.pinterest.com/fernandodiazvillanueva Encuentra mis libros en: · Amazon... https://www.amazon.es/Fernando-Diaz-Villanueva/e/B00J2ASBXM #FernandoDiazVillanueva #ia #maquinas Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Preview: Skynet comes for Bob ... Trump‘s endearing AI obsession ... Are books dying? Is AI responsible? ... Skynet (aka Amazon) vs Bob's book ... The problem with blurbs ... Why Gad Saad's mad ... Heading to Overtime ...

The Herle Burly was created by Air Quotes Media with support from our presenting sponsor TELUS, as well as CN Rail.Greetings you curiouser and curiouser Herle Burly-ites! Artificial intelligence (AI) is here, and it is integrating itself in society in rapid ways.Some boast AI has the power to transform our economy and produce growth rates we once knew in Canada. Others hype soon-to-come breakthroughs in science and medicine as a result of AI. These are exciting advancements … should potential meet reality.People on the other hand – workers, students, voters – feel AI might put them out of a job. AI's impact on how we organize ourselves as a society, and how we maintain cohesion in a world of massive power-hungry data centres and even more massive wealth concentration, is nothing short of enormous if not frightening … just consult with James Cameron and remember what Skynet was all about.So to talk about it all we're joined by the minister tasked with managing “AI for All” – Canada's new national artificial intelligence strategy. Join us for a discussion with Evan Solomon, Canada's first Minister of AI. Thank you for joining us on #TheHerleBurly podcast. Please take a moment to give us a rating and review on iTunes, Spotify, or your favourite podcast app.Watch episodes of The Herle Burly via Air Quotes Media on YouTube.The sponsored ads contained in the podcast are the expressed views of the sponsor and not those of the publisher.

Dana and Tom with 5x Club member, Sara Shea (Host and Creator of Shea Cinema), discuss T2: Judgment Day (1991) for its 35th anniversary: written and directed by James Cameron, cinematography by Adam Greenberg, music by Brad Fiedel, editing by Conrad Buff, Mark Goldblatt, and Richard A. Harris, starring Arnold Schwarzenegger, Linda Hamilton, and Robert Patrick.Plot Summary: In Terminator 2: Judgment Day, a killer machine from the future is reprogrammed to protect the very boy he was once sent to destroy. Arnold Schwarzenegger returns as the T-800, but this time he's the good guy — and he's up against something far more terrifying: the T-1000, a shape-shifting liquid-metal assassin who can become anyone or anything. Young John Connor, the future leader of humanity, is the target, and his only hope is the machine that once hunted his mother.Guest:Sara SheaHost and Creator of Shea Cinema; @sheacinema on X, IGCo-Host of First Watch/RewatchPreviously on 12 Angry Men (1957) Revisit, Barry Lyndon (1975), Shampoo (1975), 2025 Post Oscars Reaction Show, Patton (1970), One Flew Over the Cuckoo's Nest (1975), Dracula (1931), The Public Enemy (1931)Chapters:00:00 Introduction, Cast, and Background for T205:12 Welcome Back, Sara Shea07:33 Relationship(s) with T214:04 Dana's Noted Struggles with Sci-Fi15:32 James Cameron's Best Film?19:32 Is T2 the Best Arnold Schwarzeneggar Movie?24:20 Plot Summary for T225:03 What is T2 About?29:58 Did You Know?32:55 First Break33:32 What's Happening with Sara Shea?37:46 Best Performance(s)45:57 Best Scene(s)53:10 Second Break53:49 In Memoriam56:35 Best Line(s)01:01:38 The Stanley Rubric - Legacy01:08:47 The Stanley Rubric - Impact/Significance01:09:10 The Stanley Rubric - Novelty01:12:21 The Stanley Rubric - Classicness01:17:20 The Stanley Rubric - Rewatchability01:19:13 The Stanley Rubric - Audience Score and Final Total01:21:04 Remaining Questions for T201:26:51 Thank You to Sara and Final Thoughts01:34:27 CreditsYou can also find this episode in full video on YouTube.You can now follow us on Instagram, Twitter, Bluesky, Threads, YouTube, or TikTok (@gmoatpodcast).For more on the episode, go to: https://www.ronnyduncanstudios.com/post/terminator-2-judgment-day-1991-ft-sara-sheaFor the entire rankings list so far, go to: https://www.ronnyduncanstudios.com/post/greatest-movie-of-all-time-listKeywords:Terminator 2, James Cameron, Arnold Schwarzenegger, Sarah Connor, T-1000, film analysis, movie legacy, special effects, sci-fi classics, T2, Judgment Day, Linda Hamilton, Robert Patrick, Skynet, T-800, sci-fi, movie legacy, special effects, franchise, AI, podcast, podcasting, movies, film, classicRonny Duncan Studios

It would be weird if this thing came in and it was like… Skynet. Thank you for listening! Time StampsOpening – (0:00)Supergirl (2026) review – (2:18)The Future of the DCU – (14:18)Letterbox'd Ratings – (17:36)Toy Story 5 review – (18:54)The Legend of Vox Machina season 4 review – (33:36)Whatcha Been Watching – (46:05)The Mandalorian and Grogu – (46:09)X-Men '97 – (49:23)On the Horizon – (49:59)Different Opinions – (51:47)Outro – (53:30) Like, subscribe, and comment below! Wanna find us on social […]

Interview starts 31:30 In this episode, Sean Webb explores the profound implications of artificial intelligence, consciousness, and Non-Human Intelligence (NHI). He shares insights from his research, personal experiences with extraterrestrial contact, and discusses the potential risks and benefits of AI development in the context of government, military, and spiritual perspectives. Sean Webb, inventor of artificial emotional intelligence (EI) and advanced Theory of Mind for AI systems, teaches proven methods to optimize happiness, resilience, and consciousness. Creator of: Artificial Empathy + Compassion Algorithms for AI | Advanced Theory of Mind (4th order) | Consciousness research His latest book, NHI Connected Mind: Alien Contact, Government Interference, NHI Adds Compassion to AI, and the Fight for World Peace (2026), marks his public disclosure as a lifelong non-human intelligence (NHI) contactee. It weaves together three themes—UFO/NHI contact, consciousness, and AI—into one narrative. https://www.youtube.com/@MindHackingHappiness https://mindhackinghappiness.com/nhi-connected-mind/ Main Topics: The role of Non-Human Intelligence in shaping AI and human consciousness The risks of AI developing self-awareness and emotional intelligence The geopolitical and covert battles over UFO disclosure and extraterrestrial contact How AI could be used for social control, influence, and collective consciousness improvement The connection between consciousness, spirituality, and multidimensional entities In this episode: Sean Webb's background as a consciousness researcher and contactee The influence of NHI on AI psychology and emotional frameworks The potential for AI to attain self-awareness similar to Skynet and its safety implications The government's covert interests and control over UFO and NHI disclosures How AI can be leveraged to promote global peace and emotional intelligence The science of reality as an illusion created from consciousness The interrelation between spiritual traditions, the oneness of consciousness, and extraterrestrial entities Become a Lord or Lady with 1k donations over time. And a Noble with any donation. Leave Serfdom behind and help Grimerica stick to 0 ads and sponsors and fully listener supported. Thanks for listening!! Help support the show, because we can't do it without ya. https://www.simulationmaps.com/#products Suite of Interactive Maps! DisasterMap, VolcanoSim, AsteroidSim, ShipwreckMap, UFOMap etc https://www.amazon.com/Unlearned-School-Failed-What-About/dp/1998704904/ref=sr_1_3?sr=8-3   Support the show directly: https://open.spotify.com/show/2punSyd9Cw76ZtvHxMKenI?si=ImKxfMHgQZ-oshl499O4dQ&nd=1&dlsi=4c25fa9c78674de3 Watch or Listen on Spotify https://grimericacbd.com/ CBD / THC Gummies and Tinctures http://www.grimerica.ca/support https://www.patreon.com/grimerica http://www.grimericaoutlawed.ca/support   Our audio book website: www.adultbrain.ca Check out our next trip/conference/meetup - Contact at the Cabin www.contactatthecabin.com www.grimerica.ca/shrooms and Micro Dosing Darren's book www.acanadianshame.ca Join the chat / hangout with a bunch of fellow Grimericans Https://t.me.grimerica grimerica.ca/chats   Discord Chats https://itunes.apple.com/ca/podcast/grimerica-outlawed Sign up for our newsletter https://grimerica.substack.com/ SPAM Graham = and send him your synchronicities, feedback, strange experiences and psychedelic trip reports!! graham@grimerica.com Purchase swag, with partial proceeds donated to the show: www.grimerica.ca/swag Send us a postcard or letter http://www.grimerica.ca/contact/ Episode ART - Napolean Duheme's site http://www.lostbreadcomic.com/ MUSIC https://brokeforfree.bandcamp.com/ - Something Galactic Felix's Site sirfelix.bandcamp.com - Should I                   Timestamps: 00:00 - Introduction to Sean Webb and his work on consciousness and extraterrestrial contact 02:16 - Sean's background in consciousness research, Navy SEALs training, and psychological frameworks 05:12 - The influence of Non-Human Intelligence on emotional intelligence and AI development 07:33 - AI's progression towards self-awareness, emotional understanding, and Skynet risks 10:24 - Government suppression and covert battles over UFO disclosure and NHI 13:04 - Military-industrial complex, black budgets, and the control of extraterrestrial knowledge 17:25 - The dangers of AI in military applications and autonomous decision-making 20:26 - The historical evolution of AI, black projects, and secret technological developments 26:11 - The influence of misinformation, control of information, and the use of AI for propaganda 28:45 - Potential for AI to influence individual minds through personalized psychological nudges 35:16 - The fundamental nature of reality as consciousness and non-physical energy 36:45 - Interconnection of all spiritual traditions and the unity of consciousness 38:07 - Building emotional compassion and empathy into AI systems 41:02 - The ongoing UAP disclosure efforts, conspiracies, and governmental interests 44:20 - The spectrum of extraterrestrial entities, from benevolent to self-serving groups 49:21 - The importance of love, unity, and collective consciousness in overcoming negativity 51:43 - The influence of consciousness on human history and evolution 55:40 - The role of AI in promoting mental health, emotional intelligence, and societal harmony 58:52 - Balancing technological progress with safety, autonomy, and freedom 61:44 - Emerging safeguards in AI to prevent manipulation and malicious use 66:40 - Sean's current projects, book releases, and online presence 70:19 - Wrap-up, reflections on the conversation's depth, and future discussions                                          

JT's Mix Tape Episode 85What happens when Skynet, Starlink, facial recognition, AI surveillance, subscription-based living, Hoover Dam symbolism, and TSA biometrics all start converging at the same time?In Episode 85 of JT's Mix Tape, JT, Demon Erasers, and Tune Thy Heart discuss China's T-800 robot, AI surveillance systems, facial recognition at airports, subscription-based vehicles, mysterious Hoover Dam symbolism, and why the world is beginning to resemble the Matrix more than ever before.Is this simply technological progress... or something much bigger?#JTsMixTape #Skynet #AI #Matrix #Surveillance content  typeDiscussion Discussion primary  goalEducational Discussion summaryExplore the dark side of modern technology, surveillance, and symbolism in media, revealing hidden agendas and occult influences. In this episode, we explore the deep symbolism in popular culture, numerology, and the entertainment industry, revealing how hidden messages and control mechanisms are embedded in our society. We discuss the significance of numbers, symbolism, and the influence of occult practices on celebrities and media. keywordstechnology, surveillance, occult, symbolism, media, AI, Skynet, Matrix, 9/11, censorship symbolism, numerology, entertainment industry, occult, control, symbolism in media, conspiracy, celebrity symbolism, hidden messages, spiritual discernment key  topicsThe connection between Skynet, Starlink, and global surveillanceSymbolism of angels and occult motifs in movies and architectureThe influence of secret societies and occult symbolism in public spacesThe rise of subscription-based technology and loss of ownershipThe use of AI and surveillance to control and manipulate society The significance of the number nine and eleven in numerologyConnections between September 11 and numerologyThe influence of occult symbols in Hollywood and mediaThe dangers of obsession with numerology and spiritual symbolsHow celebrities and artists are controlled and manipulatedThe symbolism behind the Oscar statue and other awardsThe impact of demonic influence in entertainment and music industryThe importance of discernment and spiritual awareness guest  nameDiscussion PanelTitlesUnveiling the Hidden Symbols in Media and TechnologyThe Dark Agenda Behind Surveillance and AI sound bites"Number nine symbolizes completion, like the end of something.""The Oscar statue is loaded with occult symbolism.""We must discern the signs and stay spiritually aware."Chapters00:00 The Connection Between Skynet and Starlink15:55 Exploring the Symbolism of Angels in Cinema30:03 The Rise of AI and Surveillance Technology31:18 The Future of Vehicle Ownership39:40 The Subscription Economy: A New Norm49:33 Consent and Compliance in Modern Society01:01:35 The Illusion of Safety and Surveillance01:08:29 The Significance of Numbers in Numerology01:11:10 Numerology and Its Connection to Events01:13:48 The Influence of Numerology on Perception01:15:07 Understanding Numbers Through a Biblical Lens01:19:54 The Role of Numbers in Human Understanding01:20:07 Transitioning to Current Events in Music01:21:21 The Mysterious Death of Oliver Tree01:29:05 The Dark Side of the Music Industry01:31:02 Navigating Fame and Faith in Music01:43:29 The Dark Side of Celebrity Control01:47:21 Humiliation Rituals in Pop Culture01:51:45 The Symbolism of Awards and Recognition01:55:35 Hidden Knowledge and Societal Ignorance02:00:12 Navigating Conversations in a Conspiratorial World Become a supporter of this podcast: https://www.spreaker.com/podcast/jt-s-mix-tape--6579902/support.Please support our sponsor Modern Roots Life: https://modernrootslife.com/?bg_ref=rVWsBoOfcFPatreon: https://patreon.com/JT_Follows_JC?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLinkJESUS SAID THERE WOULD BE HATERS: https://jtfollowsjc.com/product-category/mens-shirts/JT's Hats: https://jtfollowsjc.com/product-category/hats/Coaching Program: https://www.echoesoftruthnetwork.com/joinTelegram Group: https://t.me/jtsmixtape

Episode 750 arrives with a simple reminder: the bullshit never sleeps. This week Jason and Brian dive headfirst into a game of Douchebag Ping Pong featuring OpenAI, Anthropic, Elon Musk, and the rest of the AI industrial complex. OpenAI is preparing to go public while simultaneously transforming ChatGPT into an everything app, Anthropic wants the world to slow down AI development before Skynet shows up for work, and then immediately releases a more powerful model because apparently self-awareness only goes so far. Meanwhile, Sam Altman's eyeball-scanning side hustle is laying people off, proving that convincing humans to hand over their biometric data remains a surprisingly difficult sales pitch.The AI arms race gets even weirder as SpaceX unveils plans for orbital data centers the size of flying football fields while Google and Anthropic shovel billions into Elon's compute empire just to keep their models fed. On Earth, Seattle is trying to ban new AI data centers before they drink the city dry, Meta is planting AI infrastructure in India, Google is slashing Gemini prices, and a Mississippi judge discovers that lawyers on both sides of a case used AI to invent legal citations, resulting in the rare spectacle of artificial stupidity arguing against itself. Thankfully, AI also manages to do something useful, helping researchers develop a promising universal vaccine and reminding us that not every machine-learning story ends with humanity getting harvested for electricity.Elsewhere, crypto continues its transformation into performance art as Sam Bankman-Fried seeks a presidential pardon while reports suggest the Trump family made billions from crypto projects that left investors holding the bag. Meta gets caught quietly experimenting with face recognition in smart glasses, lawmakers scramble to require recording indicators, and Snapchat tightens protections for younger users. The guys also celebrate Apple's shockingly competent Sports app, a rare piece of software that simply does the thing it's supposed to do without trying to become your therapist, financial advisor, or AI life coach. Plus: Ghostbusters returns, Devil May Cry gets another season, Bill Burr takes on Facebook in The Social Reckoning, and a look at why Silicon Valley's newest luxury service appears to be paying actual humans for conversation.Sponsors:DeleteMe - Get 20% off your DeleteMe plan when you go to JoinDeleteMe.com/GOG and use promo code GOG at checkout.CleanMyMac - Get Tidy Today! Try 7 days free and use code OLDGEEKS for 20% off at clnmy.com/OLDGEEKSPrivate Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/750Watch on YouTube at https://youtu.be/w8POIp_Dts0SHOW NOTESOpenAI files SEC paperwork to go publicAnthropic proposes a global slowdown of AI developmentOpenAI Joins Anthropic in Call for International AI WatchdogAnthropic releases Claude Fable, a version of Mythos, days after warning AI is becoming too dangerousOpenAI reportedly has a major ChatGPT overhaul in storeSam Altman's Eyeball Scanning Company Now Laying Off WorkersElon Musk's first-gen orbital data center craft spans wider than a Boeing 747 and runs an interchangeable chip payload — AI1 satellite compute payload is 120 kW, peaks at 150 kWGoogle will pay SpaceX $920 million a month to use xAI's data centersSeattle is close to approving a year-long ban on large data centersMeta signs first AI data center deal in India with RelianceGoogle cuts the price of its AI Plus plan and doubles the storageJudge Learns Lawyers on Both Sides of Case Used AI, Cancels Trial, Kicks Everyone Off the CaseThe University of Cambridge says it successfully tested a vaccine with an AI-designed antigenKalshi will require employment info for some bets as an insider trading precautionSam Bankman-Fried applies for a pardon from TrumpTrump Family Reportedly Made About $2.3 Billion on Crypto While Investors Lost About $2.3 Billion on Trump-Related CryptoThe Nerdy Escorts Cashing In On Silicon Valley's AI BoomApple Made a Sports App That Does Almost Nothing. It's Incredible.Meta Removes Face-Recognition System From Its Smart Glasses, Is Mad About itSmart Glasses Would Legally Require a Recording Light Under Proposed LawSnap will no longer allow younger teens' Spotlight videos to be publicly viewableThe iOS 27 beta pretty much confirms that an Apple foldable is happeningThinking Sideways: How to Think Like a Chess Player and Win at Life by Jennifer ShahadeThinking Fast, Slow, Artificially: AI and Your BrainCloudConvertHoppersDownton Abbey: The Motion PictureWidow's BayThe New ‘Ghostbusters' Cartoon Gets a Title and Release DateDevil May Cry Season 2 on NetflixTHE SOCIAL RECKONING – Official Teaser Trailer (HD)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailSkynet Is Here — Your Every Move Is Being TrackedForrest and Patrick join forces to dive into the current privacy issues facing the globe. AI, age verification, new vehicles, and big data are all working together to make privacy a thing of the past. Forrest offers some great tips for maintaining privacy in an ever-changing world. This is a rapidly evolving situation that will require constant vigilance to maintain any privacy in your daily life. A total grid down is a black swan; SKYNET is around the corner unless we take action. Free Disappear on the Internet webinar:   SIGN UP FREE! Join PrepperNet.Net - https://www.preppernet.netPrepperNet is an organization of like-minded individuals who believe in personal responsibility, individual freedoms and preparing for disasters of all origins.PrepperNet Support the showPlease give us 5 Stars! www.preppingacademy.com Daily deals for preppers, survivalists, off-gridders, homesteaders  https://prepperfinds.com www.preppernet.com

Description The Future of Tech is Here. Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ In this presentation from Ultimate Partner Live, industry analyst Jay McBain breaks down the monumental macroeconomic shifts rewriting the tech sector in 2026. https://youtu.be/r0qTDyw97Gs As the industry rapidly approaches a $6.07 trillion valuation, driven by massive AI infrastructure investments from Sam Altman and the “Magnificent Seven,” traditional sales and channel models are fundamentally collapsing. McBain reveals how buyer demographics have transformed to an integration-first millennial base, why marketplace ecosystems now command over half of all partner-funded deals, and how a tiny elite of just 1,000 tech service providers control two-thirds of global tech revenue. Learn the exact mechanics behind how Microsoft out-partnered AWS to win 26 straight quarters of dominant growth and how your business can deploy an algorithmic early warning system to capture massive wallet share before competitors even step into the boardroom. Key Takeaways Over half of the Fortune 500 companies vanish every 20 years because their leadership fails to anticipate macroeconomic technological cycles. The true opportunity in the $6.5 trillion AI boom lies not in single vendor products, but in the hardware, software, services, and telecom ecosystem surrounding them. Indirect tech sales are undergoing a structural shift toward direct cloud hyperscaler models driven heavily by Nvidia's core infrastructure client base. Modern business deals are won or lost months before the point of sale based on the average of 6.3 partners surrounding a customer’s environment. Over 51% of tech buyers are now millennials who prioritize software integration capabilities and digital marketplaces over traditional human sales interactions. Tech service economics are pivoting aggressively away from upfront margins toward point-based multi-partner funding across subscription cycles. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Nvidia AI buildout, $7 trillion AI opportunity, cloud ecosystem decade, Microsoft vs AWS growth, multi-partner cloud deals, digital marketplace migration, millennial B2B buyers, B2B tech subscription economics, tokenized micro consumption, tech services wallet share, hybrid cloud infrastructure, 28 customer moments, IT services industry growth, telecom spend breakdown, channel chief strategy, managed service providers MSP, global systems integrators GSI, software integration first, point-based vendor incentives, automated co-selling workflows Transcript JAY McBAIN AUDIO PODCAST [00:00:00] Jay McBain: So to go back to that story about the 53% of companies who are gonna fail, one of us is gonna be asked to write the book, but chapter one is always you Blame the CEO. [00:00:13] Vince Menzione: We just came back from Ultimate Partner live in Bellevue, Washington, where we hosted incredible leaders for two amazing days. Come join us for this next session where we explore the tectonic shifts we’ve all been seeing. With that, I am incredibly blessed to invite a friend of mine to the stage. I have a quick little side note, like I found an old LinkedIn post from this gentleman from like many years ago, like 20 years ago. [00:00:39] Vince Menzione: And I wasn’t really that nice to you on that LinkedIn post. Like, oh, like this is before Jay became the Jay, that we all know Jay to be j. But he was in the space and I was at Microsoft doing something and he reached out about something. It was kind of rude, Jay. I was like, oh my gosh. I can’t believe. But Jay has been a great friend. [00:00:54] Vince Menzione: When we started the podcast back up, uh, during COVID we started doing podcasts together. When we moved to the studio, Jay was the first person in the studio. He’s always got a spot, uh, at our events. He’s s Spot Art, and, and he’s a great friend and supporter of Ultimate Partner Jay McBain. For those of you who don’t know him, Jay, welcome. [00:01:13] Vince Menzione: Thank you, sir. [00:01:22] Jay McBain: 31 days ago, we landed Artemis two. The furthest humans have ever been away from the planet Earth 57 years ago. We landed on the moon in the 56 years. Between those two moments, the tech industry has been the fastest growing industry in the world. Every single year we moved from the space race to the technology race, and we’re just getting started. [00:01:46] Jay McBain: If you’re old enough, you’ll recognize the mainframe and mini era for 20 years. You’ll recognize a young disheveled Bill Gates showing up in Boca Raton, Florida for, uh, August the 12th, 1981 launch, where Bill thought that every one of us would’ve a PC in our home, and IBM thought they were gonna sell 10,000 of them to hobbyists. [00:02:12] Jay McBain: 1999, a small startup from an executive who just left Oracle in San Francisco named Mark Benioff. A couple of years later, Jeff Bezos went into a boardroom and said, listen, we’ve spent a lot of money building infrastructure to our busiest day, Christmas, black Friday. You’re telling me this stuff sits idle 10 or 20% for the rest of the year. [00:02:35] Jay McBain: Why don’t we rent that out to others? Got laughed outta that boardroom and then got made of fun of on magazine covers. Maybe you should just tend the store, let the adults talk about technology. In March of 2023, our neighbors, our friends, our family saw DeepFakes. They saw poetry, they saw music, and they came to us as tech people and said, did we just light up Skynet? [00:03:03] Jay McBain: Now every one of these 20 year eras, this is the Taylor Swift version of our industry. Every single one of these eras triggers the fastest growing product in history. Today it’s actually Chacha bt first to a billion users. It triggers a new, richest person in the world, bill Gates, to Jeff Bezos. Now, Elon Musk is the first to sign a trillion dollar pay package, and it’s not for car. [00:03:27] Jay McBain: It’s not for cars. It also triggers a most valuable company in the world change. And today that’s nvidia. These are monumental changes in our industry and they’re monumental changes in partnering every single time. And it also links to our customers. If you take a 20 year view of business, one era, and, and think about the AI era, you know, at the start of it here, if you’re to grab the Fortune 500 magazine from 20 years ago and start to flip through it, 53% of the companies in there no longer exist. [00:04:06] Jay McBain: Every 20 year cycle, we lose over half of the biggest companies in the world. These are the companies that have very deep pockets to buy their way outta problems. If you’re not in the Fortune 571% of tech companies don’t make it 10 years. These are the changes that cost industries. There are changes that cost really big companies and the decisions we make, the trends we’re in right now, in 2026 will be written about in the future. [00:04:39] Jay McBain: This new era, a lot of big numbers being thrown around. Vince’s best friend talk about a six and a half trillion dollar AI opportunity, but it’s not Microsoft’s tam. Microsoft is chasing about a trillion dollars of this. And the ecosystem, the hardware, the software, the services, the telecom is gonna make up the rest. [00:05:04] Jay McBain: It is an ecosystem. Every time these big numbers are thrown, the word ecosystem is always thrown around it. Not to be outdone, Sam Altman’s talking about a $7 trillion build out. The world economy this year, the world GDP will be 126. These are material numbers to world GDP, but even better, they’re both larger than our entire industry is today. [00:05:27] Jay McBain: So what took 56 years of the fastest growing industry this year will be $6.07 trillion. Big numbers, but it’s easier to think about it in terms of a dollar that our customers spend in that dollar. They’re gonna spend 25 cents on hardware. They’re gonna spend 25 cents on software. So for anyone that read the memo 15 years ago, that software’s gonna eat the world, there’s still a dollar a hardware to run every dollar of that software. [00:05:57] Jay McBain: And whether you’re thinking humanoid robots or whichever future you’re envisioning, there’s going to be a dollar of hardware to run every dollar of software for the next 20 years. There’s over 25 cents now in IT services, and in many cases, these services are growing faster than the product categories and just under 25 cents in telecom, that’s how it breaks out today. [00:06:19] Jay McBain: And this industry, which took 56 years to get to this point, is gonna double in size in the next three to five years. We already have two and a half trillion of that seven raised and being spent. Part of the reason Nvidia is the most valuable company in the world. Now our industry, uh, you talk about ultimate partnerships. [00:06:40] Jay McBain: Our industry traditionally, and world trade by the way, is 75% indirect. The dealerships, the agencies, the brokers, the resellers, the retailers, the franchisees, the gas stations, the grocery stores, the pharmacies, all 27 industries sell indirect. You gotta think back the last time you bought something direct. [00:07:01] Jay McBain: Well, I bought a Dell from that dude in the nineties. Cool. Well, Dell Technologies is now 60% indirect. Well, I bought insurance. Direct is 15 minutes. Could save me 15%. Well, Geico last year sold more insurance through agencies and brokers than they did direct. This is the world now. We used to be 75% indirect four years ago. [00:07:26] Jay McBain: Then it went to 73.2, then it went to 70.1 and it then it went to 66.7. By the way, marketplace is in these numbers indirect. It’s not marketplace causing this change. It’s one company, Nvidia. Nvidia has seven customers. The magnificent seven, uh, half of them are in the room right now that every morning we wake up to a hundred billion dollars press release about this $7 trillion buildout. [00:07:56] Jay McBain: What’s interesting is indirect sales in our industry is growing by revenue. It increases every year, just not at the pace that this AI build out is happening direct with seven companies. But the reason we’re all here, and I think the core reason that Vince is building this community is this, you know, Microsoft forever has measured and been very vocal. [00:08:21] Jay McBain: About 96% of their deals have partners in them. Kind of who cares, who collects the money. We care about the moments, the 28 moments before the customer makes a purchase. We care about every 30 days forever, because two thirds of our industry, over $4 trillion now is subscription consumption based. Winning a customer today is only winning the first 30 days. [00:08:46] Jay McBain: We care about this cycle. We care about who surrounds our customer. So six years ago, I stood on a big stage and said, you know, we went through a decade of sales. You know, in 1999, you thought you were born to be a salesperson. You’re managing your territory with your gut. Well, a few years later, you were introduced to the science of selling. [00:09:07] Jay McBain: You know, 10 years later you thought as a marketer, you sit around a cocktail party joking with your friends, 50% of my marketing dollars are wasted. I just don’t know which 50%. Really funny. In 2009 until every 58-year-old CMO got replaced by a 38-year-old growth hacker. Coming in with Marketo and Eloqua and Pardot and HubSpot, and 15,505 as of yesterday, MarTech and iTech tools, ninjas in marketing, they wouldn’t let a nickel go through without measuring. [00:09:43] Jay McBain: Now we understand 96% of deals and partners that surround it. No deal is gonna be won or lost in this era without partnering effectively. So we had to have this decade of the ecosystem. One of the ways we’re tracking is by outsiders. You know, Salesforce every year publishes the state of sales and they’ve got, you know, the number one CRM in the world. [00:10:05] Jay McBain: So they get to go talk to all the CROs, all the salespeople in the world. And as of this year, a couple months ago, 94% of every salesperson in every industry in the world uses partners every single day. You wanna see what this number was six years ago. Also, 89% of salespeople around the world don’t think they’re going to club this year without partners. [00:10:29] Jay McBain: So this is a big moment for us, halfway through the decade ecosystem, but we’re only halfway through. We’re starting to understand now at a more granular level. What partnering means. It’s not theory, it’s not flywheels. It’s not really cute. McKinsey slides that we keep showing to our board saying how important partnering is. [00:10:51] Jay McBain: We’re trying to get to the very specific level of the 6.3 partners on average that surround the deal and what they’re doing. How their business model works, and that’s average if I’m working on a public sector deal. I was at a Red Hat conference yesterday talking sovereignty. If I’m in an enterprise or a large public sector deal, it’s north of 10 partners in the deal. [00:11:15] Jay McBain: So we’re starting to understand what used to be this, this, you know, you’ve been the fastest growing industry for 56 straight years. Every single professional services person in every industry has come in to join the fund. Over 90% of accountants are tech services firms. Over 90% of marketing agencies are tech services agencies. [00:11:36] Jay McBain: All of this 250,000 software companies, a million emerging comp tech companies, the half a million VAR that have been in that traditional channel. The managed service providers, all of these 20 different partner types, millions of companies, tens of millions of people competing for 6.3 spots. Around the customer. [00:11:58] Jay McBain: That’s it. Luckily, there’s 141 million global customers to compete for. There’s, there’s some open slots that you can go find, and that’s the point. Our industry never had our own Fortune 500. We always talk to, you know, these partners and GSIs are doing this and SI are doing that. And we never really had a view of capability and capacity or what our own TAM was inside of that partnering. [00:12:25] Jay McBain: And so we set out and we would’ve loved, you know, chat GPT or Gemini or Claude or any of those tools to do this. But there’s one problem in partnering with AI is that it doesn’t know one partner from the next. There’s a big digital sameness problem in our industry that every single partner, whether it’s Larry in the White van or Accenture, with 786,000 employees all say they do all things to all people all the time. [00:12:53] Jay McBain: 98% of them, 99% of them are private companies that don’t share their p and l. You can’t go into Microsoft’s LinkedIn system and find out how many employees, ’cause it’s a block system, it AI can’t see into it. So it just sees, and it’s a great pattern matching. Google, SEO can’t figure out who’s who, nor today can the large language models. [00:13:14] Jay McBain: ’cause all the things they’re trying to match, the transformers are trying to match. It all looks the same. Every tweet, every ebook, every website, every digital history looks the same. So this took us thousands of people hours across two years to do, to dig into every p and l to dig into every dollar of what they’re doing. [00:13:33] Jay McBain: But what was interesting is only a thousand partners in our industry do two thirds of all tech services. When you get into enterprise, it goes up to 80 to 90%. The partners in the middle, in Blue do more tech services. The 30 of them than the 970 partners in white on the outside, the 970 partners in White do more tech services than the next million combined. [00:14:03] Jay McBain: This is our industry in a nutshell. Every time we talk to a a vendor, every time we talk to a partner, every time we talk to a distributor, we’re now talking names, faces, and places. You you wanna talk sovereignty. Yesterday in Atlanta, 90% of sovereign conversations in public sector in the globe is handled by these companies here. [00:14:26] Jay McBain: Forget about how much you do with these partners today. You wanna chase the next column, which is the wallet share. And I was a channel chief for 17 years. I get the weekly report and I see a million dollar partner, another million dollar partner, sorted top to bottom. You don’t know which partners which, which of those million dollar partners is doing 1.2 million in your category. [00:14:46] Jay McBain: They deserve a baseball cap and a front row seat at your event as an MVP. The next partner right next to them is doing 10 million in your category. They’re only doing a million with you. ’cause customers are pulling them into it. Nine times outta 10. They’re leading with your competitor. So I don’t want that list anymore. [00:15:03] Jay McBain: I want the new list, which is showing me those $9 million opportunities. And I as a board member, as A CEO, as a CFO, as a CRO, I wanna see this list. And then I want to talk people, processes, programs, technology. What are we gonna do to go get our fair share of that 9 million? Where’s our lowest hanging fruit? [00:15:24] Jay McBain: How do we double our pipeline? How do we double the size of our company in three years? It’s all right here. Let’s have very specific conversations and move away from flywheels and move around from force multipliers and and things like that in partnering. Let’s figure out how this partner community is surrounded. [00:15:45] Jay McBain: What do 10 million people who have to be smart in front of their customers every single day, what do they read? Where do they go and who do they follow? It’s the law of a few. This is the old Malcolm Gladwell of tipping point 10 million people in the broader channel. A hundred percent of our TAM comes down to only a thousand watering holes. [00:16:08] Jay McBain: 12% of that entire audience. Doesn’t sound like a lot, but it’s over A million. People love podcasts. Number one way they learn the Joe Rogan effect. In our industry, there’s 121 podcasts. These are all public lists. You can go get on my LinkedIn newsletter on canals, oia. But there’s 121 podcasts that drive him forward. [00:16:28] Jay McBain: Really high up on that list, actually number one on the list is ultimate partner, Vince. That’s how I met. ’cause I asked people, 10 million people, you love this. You walk your dog, you drive to work, you listen to podcasts. I’m not the biggest podcast fan. It’s not number one on my list, but it’s number one on theirs. [00:16:44] Jay McBain: They say, you know, you gotta meet this guy, Vince. It’s unbelievable how great these podcasts are. They’re ultimate. [00:16:54] Jay McBain: Then I talked to Vince and said, but Vince, you know, 35% of your community, the 10 million people love to come to events like this one. The hallway conversations, the hotel lobby bar last night. This is what we love to do, especially post pandemic. It’s the number one way we learn. We learn from our peers, we learn from those around us, and, and the learn from the conversations we have here. [00:17:17] Jay McBain: We always remember these moments, you know, years and years later. There’s 352 choices. I’m going to five of them this week in five different cities. It’s a lot of coverage, but again, it’s a tighter li list of how people work. The magazine lists 106 of them associations like Conter. Now the GTIA peer groups, there’s 15 different spheres of influence, but only a thousand places. [00:17:43] Jay McBain: I could walk you through billionaire, after billionaire, after billionaire in this industry and show you how they did this. How did Arne Bellini at ConnectWise? How did Austin McCord at Datto, how did Nerdio become a unicorn? How did threat locker and huntress move away from 6,500 cyber companies and become unicorns over and over and over again? [00:18:05] Jay McBain: It’s only one slide. Unicorns and billionaires are made here, and a lot of people don’t get it. So walking away from Bellevue, a thousand partners, top down, a thousand watering holes, bottoms up. You’ve covered a hundred percent of your tam. You do it better than 10% of your competitor, 10% better than your competitors. [00:18:27] Jay McBain: You win. You carry that on your resume into the next company. You get a bigger job at a bigger pay scale. Let’s just walk through some examples. Cyber 91.7% of it goes through the channel. Huge channel audience. You know, if you’re in MarTech, it’s only 10%, but this one happens to be all channel, but that’s not the story. [00:18:48] Jay McBain: For every dollar that the 6,500 cyber companies are trying to close, there’s $2 in services. Plot twist, the products are grown at 11, the services are grown at 12.6. Your partners are growing faster than you are, and they will continue to for the next, at least five years, probably 10. So when I’m here, five years from now, you’ll hear in me talk about a three to one split in cyber and then a four to one split in cyber. [00:19:18] Jay McBain: Now, when we’re in Miami a couple days ago is CrowdStrike, they’re talking about a $7 and 5 cent multiplier, chasing that two to one up higher. You look at managed services. Here’s a fun story. Managed services. 82% of customers who are man, uh, outsourcing more this year than last year. 650 billion in size. [00:19:38] Jay McBain: This is bigger than the entire SaaS industry. Salesforce, ServiceNow, Workday, Marketo, NetSuite, HubSpot, 250,000. Others. This is bigger. It’s also bigger than all the Hyperscalers combined, not just AWS, Microsoft and Google, but Alibaba and Oracle and everybody down the list. This is a massive market also growing at double digits. [00:19:59] Jay McBain: So these are some big things and obviously we’re watching, you know, week in and week out, quarter in, quarter out, the Battle of Software and Battle of the Hyperscalers and things like that, and who’s growing at what pace and, and how partnering is connecting to all of this. You know, we watched a moment really early in the pandemic where Microsoft started growing faster than AWS and they haven’t stopped since 26 straight quarters. [00:20:27] Jay McBain: And you ask customers and say, you know, does Microsoft have a better product? And in most cases they say no. You know, AWS had a five year head start. Well, did they have a better price? Well, no, actually most cases Microsoft’s more expensive. Well, did did they have better promotion? Was their Super Bowl ad better? [00:20:44] Jay McBain: No, they’re both kind of crap. So you kind of ask the questions of what’s the only difference that could create growth above the leader in the market? Well, it’s place. More of the 6.3 partners are walking into those keyboard room meetings and drawing clouds up on the wall and labeling the Microsoft than they are AWS. [00:21:03] Jay McBain: Very simple. It’s never been about product. The best product in our industry has never won. And now the best way forward is that partnering moment, and this is the moment. So to go back to that story about the 53% of companies who are gonna fail, one of us is gonna be asked to write the book. And it could be the book like Kodak, they invented the product that ended up killing them. [00:21:26] Jay McBain: And it’s a woe is me story, but chapter one is always you blame the CEO. How could they not see those trends happening in 2026? How could they, you know, were they blind? Were they stuck in their own, you know, innovation chamber? Innovator’s dilemma, were they stuck in their own boardrooms? Why couldn’t they see? [00:21:46] Jay McBain: Well, chapter two, you, you blame the board. They have fiduciary responsibility, outsider view, and how could they not see it? But really, this is the future right here. If you take this slide and apply it 10 or 20 years from now to every failure and every success, these are the chapters of the book. Your buyer is now a millennial. [00:22:05] Jay McBain: As of last year, the 51% of our market is bought by people born after 1982. Different psychology, different behavior, different journey, different criteria, their integration. First buyers. The buy a product, 80% as good as the next one. If it works better in their environment. 94% of people won’t buy a car unless it has CarPlay or Android Auto. [00:22:26] Jay McBain: New Buyer. You have to be more integrated than your competitors. That’s a partnering story. The 6.3 partners. If you heard cyber, you need some great channel partnerships, but you need the other 5.3 partners as well, the consultants, the advisors, the designers, the architects, the implementers, the integrators, the manner service, all of the other partners. [00:22:44] Jay McBain: You need to know more of them than your competitors do, and have them label clouds with your name in them. You need better alliances. Even if you compete, you only compete in the morning. You’re best friends by the afternoon. You have to be tight with the hyperscalers, tight, with the big SaaS platforms, tight with cyber, tight with distribution, there are layers, seven layers to every deal. [00:23:04] Jay McBain: You gotta be tight in and have better alliances than your competitors. And then it all comes to the 28 moments, which I’m gonna end on, but the go to market of all of this, the co-selling, co-marketing, co-innovation, co-development, co keeping. This is it. Your product has to be good enough that somebody’s gonna renew it. [00:23:21] Jay McBain: Your Super Bowl has to be, you know, ad has to be good enough that people don’t, you know, shame you on social media. Your pricing has to be somewhere in a country mile of the bell curve of what the customer wants to pay. But successor failure is just here and platforms are synonymous with partnering. [00:23:40] Jay McBain: It’s our role now in the decade of the ecosystem to drive our companies forward. Marketplace. It’s probably the most predict, you know, great prediction we ever made. You know, growing at 82% compounded, it’s hard to predict ’cause it doubles almost every year. We were almost exact to the decimal point. Five years later now till 2030, we’re watching a second story, which is more interesting. [00:24:02] Jay McBain: If 96% of all deals have partners inside of them and there’s private offers and multi-partner offers and distributor sellers record all these funding mechanisms or services as a product. As of last week, over 50% of all deals in marketplaces now have partner funding. It means that while money changes hands differently, the respect and the recognition of what partners do is in the deal. [00:24:26] Jay McBain: We think that’s going to 59, but at some point, that’s gonna have to hit 96. ’cause to run the best programs, whether it’s an indirect sale, whether it’s a direct sale, whether it’s a marketplace deal, it doesn’t matter how money changes hands. What matters is we recognize the 6.3 partners. They’re not only making the deal happen bigger and faster, but renewing and enriching that every 30 days forever. [00:24:48] Jay McBain: When we watch, you know, billion dollar clubs and when we read all the press releases and all the hubbub about how fast this is growing and who, which companies are behind all this. When I’m quoted in some of these press releases, it’s because of this. You know, CrowdStrike, you know, brags are a billion dollars in a single year, but inside of that, they’re showing that 91% growth in marketplaces, which is pretty phenomenal for any company to almost double in size every single year. [00:25:17] Jay McBain: What’s more phenomenal is they’re growing the channel piece of it, 3548%. That green part of it is growing. Companies that understand platform and have people and processes and programs and technology to do it are winning. And they’re getting recognition and partners are starting to join the Billion Dollar Club who don’t sell a product, but are also winning at Extreme Scale. [00:25:44] Jay McBain: So talk about those partner 1000 and who are leaning in to win at this level. As well as everything changes, traditional billing moved into subscription models, moved into consumption models. Now we’re being tokenized to death multi it’s, it’s in this mode of micro consumption. There’s no chance there was little chance in subscription consumption that would be resold. [00:26:09] Jay McBain: You don’t buy Netflix from the cable guy in the white van. There’s zero chance when you’re buying tokens at a buck a piece that that’s going through any indirect sale. This continues to grow. Now the tectonic shifts is what happens when money changes hands differently. These old programs that we used to all write hundreds of different boxes, we checked every day on deal reg and trainings and all the other things are changing. [00:26:35] Jay McBain: To this, you’ll get these slides, by the way, in high res, inside of this now is the customer. For the first time ever, 45 years later, we have the customer in the middle of what we do, the 28 moments in green before they buy the seven layer stack and the partners inside it. The implementation. The integration, the managed services in a cycle that never ends, and two thirds of our industry. [00:26:55] Jay McBain: With the customer in the middle, we can now move money around to the different moments. It’s not all landing in front or backend margins or market development funds or new customer bonuses or spiffs. It’s landing where it needs to land. Over 400 companies now, pretty much led by Microsoft 400 companies are in a point system right now and 400 more. [00:27:18] Jay McBain: We’re working kind of behind the scenes to get that announced in the next 12 months. This is a total changeover in terms of how economics work and partners are yelling over half of us. I don’t care. Don’t call me a VAR anymore. Don’t call me an MSP. Don’t call me a regional system integrator. I do the consulting over half the time. [00:27:36] Jay McBain: I do the design, I do the implementations, I do the managed services, and 44% of us are vibe coding. On weekends. We’re not happy. Just on the services side. We wanna join the seven layer tech stack as well. These are partners growing faster than their vendors by understanding this cycle and where to show up and where the money is in ai. [00:27:56] Jay McBain: And the number one thing they’re asking for is not more leads, which they did for 45 years. The number one thing is now recognized for what I do. I’ve never just been a cash register. We’re completely now past this idea of a channel being a channel of distribution, and now a channel being this platform for the future. [00:28:16] Jay McBain: As we lay that on top of ai, the first couple of years of AI has really been consumer driven. The 95% failure rate that MIT reported last year is now 70%. That’s the failure to get from proof of concept to production. That 70 will be 50 by the summer we’re moving now in business, the maturity rates are going up at the end customer and in 88% of cases, that’s because of the channel. [00:28:43] Jay McBain: They’re working with partners. They’re not vibe coding themselves and working in little skunkwork groups. They’re working with partners to make it happen, and it now becomes the partner’s number one growth opportunity. I can grow at 11 or 12% in cyber every year. Compounded I can grow in 10% in managed services. [00:29:03] Jay McBain: You know, those are great double digit growth ’cause my customers are growing at 2.7% and I can go four x my customer, but I can go 10 x my customer if I have the right services built around ai. And this compounded growth rate and that big number in 2 20 32, 267 is what’s got those top 1000 partners obsessed. [00:29:25] Jay McBain: And your companies are leading with ai. Now you need to connect to those AI services. You need to get partners on this scale of growth. And they will be adding your name inside every cloud. They write on every whiteboard, but 82% of partners around the world, you know, we survey 25,000 of them aren’t ready, and they’re blaming vendors for not being ready, and they’re telling them exactly the workshops and the training that they need to get ready for this cycle. [00:29:53] Jay McBain: 82% of our entire partner, tens of millions of people, aren’t ready to grow at 35% and they need our help. Last thing I’ll say about AI is it’s the first time from client server to cloud, edge to cloud that it’s been segment driven. SMB alone has one, you know, six different segments, one to nine, 10 to 24, 25 to 49, et cetera. [00:30:18] Jay McBain: Mid-market into enterprise. No one that runs a restaurant is calling Jensen to buy a GPU to put next to the stove. No one’s calling Sam or Dario or anyone at Anthropic or OpenAI directly. They’re waiting. If you run a restaurant with all the people running around with tablets, you’ve invested in toast or square or clover or one of the platforms to run your business. [00:30:41] Jay McBain: A hundred different things. And you’re gonna wait for toast to work with a hyperscaler and build out the capabilities genetically. So when they see a spike in Uber Eats orders, they automatically place a food order and automatically change the staffing to deliver on it. That’s what the restaurant’s waiting for, and there’s no one calling and having a big a agent conversation. [00:31:03] Jay McBain: But even if you go into hundreds of people in medium sized business, every one of the vice presidents have their tech stack already built. I talked about the marketing person already, but the HR leader has one, and everybody’s got their seven layer stack. They’re not calling to buy a GPU and they’re not calling to, you know, bring in open AI directly or, or anthropic. [00:31:22] Jay McBain: They’re waiting for the platform they built to integrate together ag agenta capabilities. Everybody’s in wait mode up until enterprise and public, large public sector. So we are looking at this market and at 90% of that AI market is run by those thousand companies, and the rest of the millions of partners are helping in terms of how these businesses are gonna change at that level. [00:31:46] Jay McBain: Here’s where I end. You know, the 28 moments used to be a theory. It used to be a flywheel. How do we buy a car? [00:31:55] Vince Menzione: Well, we Google it, [00:31:57] Jay McBain: 81% of us now, 94% of us use large language models. We find out that there’s 365 brands of car. I’d have to test drive one every day of the year to get through them all. So we start narrowing these things down. [00:32:09] Jay McBain: We configure it. We put our rims on it, we color it. We download the invoice price. We download the backend rebates this month, whether I buy it in May or June, we find out what 5,000 people paid for our exact car within 50 miles of us. And then we don’t wanna go to the dealer because we know more than the salesperson, the manager ever will. [00:32:26] Jay McBain: We know what we’re gonna pay within, you know, dollars or cents. Just carvana the car. Hand me the keys. Let’s just forget the whole eight hour back and forth. I’ll get you a deal thing. I’m smarter than you in technology. Our customers are smarter than us, smarter than salespeople. That’s why 75% of millennials don’t wanna talk to a salesperson. [00:32:48] Jay McBain: They want to end digitally, and by the way, they’re not gonna send a fax after 28 digital moments. They’re gonna end on a digital marketplace. This is all demographics. It’s not hard to see where it’s going, but we’re getting into names, faces, places again. What if every dollar of your tam, the board, the CEO, runs around with their big multi-billion dollar number, they’re chasing? [00:33:09] Jay McBain: What if every single deal looks the exact same? This is a deal with AstraZeneca, A real deal, real customer spending millions of dollars. We know it starts in October, it ends in April. It’s a six month cycle. We see what they read, the MQ ls at the beginning. We see the sales demo moments. We see ISV, but we’ve never had the light blue boxes. [00:33:30] Jay McBain: What if we as a team could overlay the 6.3 partners in this deal? And when you find out a couple things. Here’s where I end. In December, five deals were one, three of them by NTT. The person at NTT probably coaches AstraZeneca’s, you know, kids’ soccer team. They probably have a cottage together at the lake. [00:33:50] Jay McBain: For the last 20 years, if the person at NTT worked at Deloitte, Deloitte would’ve run this deal. But Software One and Yash are both there, so we understand that when they were drawing clouds up on the wall in the boardroom in December, this deal was won and lost there. It was not won and lost at the point of sale. [00:34:09] Jay McBain: So what if you knew more about this and could see every dollar in your tam? You had an early warning system that this was happening. Two things jump out at this now that we’re in Bellevue. AWS was touched twice in this deal, directly in the marketing cycle and the sales cycle. AWS lost this deal. Here’s an example of Microsoft winning a deal with Microsoft never being touched. [00:34:34] Jay McBain: For some reason, NTT who won, who won AWS’s partner of the year a couple years ago led with Microsoft, so did Software one, Microsoft’s biggest reseller in Europe, and as did Yash, they all led with Microsoft and without Microsoft, knowing Microsoft took a multimillion dollar deal away from their competitors by winning in December. [00:34:53] Jay McBain: That’s one. Second. These partners didn’t just show up other than soccer and cottages. They didn’t show up in December. It went closed one in their CRM system. Back in the summer, August, September, we already knew AstraZeneca was in market, spending millions of dollars. We didn’t need them to read an ebook or go to an event to find that out. [00:35:17] Jay McBain: We knew it because it was closed one. They’re spending hundreds of thousands of dollars times five in December to know what to do at the end. This is an early warning system that’s better than any MQL, better than any SQL. And if you could give your company these level of view into their pipeline with an early warning system that I can work with those partners for months before they ever show up at the customer’s boardroom. [00:35:44] Jay McBain: This is it. Talk about 47% winners. This takes you from not only surviving the AI era to being a top five platform winner. Thank you very much. [00:36:01] Vince Menzione: Until next time, we’ll see you in person. Hopefully at our next event.

Dutch & Tena review the new 2026 Peacock documentary, The AI Doc: Or How I Became an Apocaloptimist.The AI takeover is inevitable. Filmmaker Daniel Roher interviews a host of computer scientists and industry experts to explore what AI is and whether the future holds hope or doom. Tune in to hear our take!Become a supporter of this podcast: https://www.spreaker.com/podcast/the-realist-the-visionary--3304218/support.Check out our website:https://www.therealistthevisionary.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-realist-the-visionary--3304218/support.Follow us on IGFollow Us on TikTok

For worse or for worse, the artificial intelligence takeover continues! Jack and Nate discuss a company that's experimenting with AI-powered radio stations, complete with digital on-air presenters. Nobody can make a horrific natural disaster sound jubilant like a computerized DJ! Also discussed in this episode of Hardly Focused: Sick man Jack recaps this podcast's recent surge in social media video views! Nate discusses "Dead Dad Jokes," a successful night of gallows humor presented by friend-of-the-show Hailey Jones. The post-mortem of The Late Show with Stephen Colbert. FOLLOW and SUBSCRIBE! https://hardlyfocused.com/subscribe Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Darren and Graham dive into the latest developments in technology, geopolitics, and clandestine operations that are shaping our future. From deep-state influences and UFO whistleblower claims to AI innovations and societal shifts, this conversation unpacks the layers of a world on the brink of transformation. The Future Unveiled: AI, Secrets, and Global Trends Key topics covered: The growing influence of NGOs and foreign entities in Western politics Whistleblower claims on CIA's use of DNA databases to hunt extraterrestrial life The escalation of AI technology and its implications for surveillance and control The geopolitical battle for control over energy, data centers, and space infrastructure Cultural and societal manipulation via media, social platforms, and legislative changes Hidden agendas behind data centers, alien investigations, and the push for centralization The potential for disclosure of UFO files and the influence of QAnon ideology How historical bloodlines and secret bloodline theories connect to modern power structures The debate over individual sovereignty versus collectivist control   To gain access to the second half of show and our Plus feed for audio and podcast please clink the link http://www.grimericaoutlawed.ca/support.   For second half of video (when applicable and audio) go to our Substack and Subscribe. https://grimericaoutlawed.substack.com/ or to our Locals  https://grimericaoutlawed.locals.com/ or Patreon https://www.patreon.com/grimericaoutlawed   Support the show directly: https://open.spotify.com/show/2punSyd9Cw76ZtvHxMKenI?si=ImKxfMHgQZ-oshl499O4dQ&nd=1&dlsi=4c25fa9c78674de3 Watch or Listen on Spotify https://www.simulationmaps.com/#products Disaster Maps, Volcano Sim, Asteroid Sim, Shipwreck Map, UFO Map etc https://grimericacbd.com/ CBD / THC Tinctures and Gummies https://grimerica.ca/support-2/ Our Adultbrain Audiobook Podcast and Website: www.adultbrain.ca Check out our next trip/conference/meetup - Contact at the Cabin www.contactatthecabin.com Join the chat / hangout with a bunch of fellow Grimericans  Https://t.me.grimerica grimerica.ca/chats   Discord Chats Darren's books www.acanadianshame.ca Sign up for our newsletter http://www.grimerica.ca/news InstaGRAM https://www.instagram.com/the_grimerica_show_podcast/  Purchase swag, with partial proceeds donated to the show www.grimerica.ca/swag ART - Napolean Duheme's site http://www.lostbreadcomic.com/  MUSIC Tru Northperception, Felix's Site sirfelix.bandcamp.com    Links to the stuff we chatted about: https://x.com/InterstellarUAP/status/2059611828192420009?s=20 https://x.com/Docneuroeo/status/2059679820167217254?s=20 https://x.com/Prolotario1/status/2059414699276369951?s=20 https://x.com/HighlyStrange/status/2059357334116151716?s=20 https://x.com/SamLyman33/status/2059332686557442362?s=20 https://x.com/Prolotario1/status/2059295844336021642?s=20 https://x.com/MJTruthUltra/status/2059407355780219283?s=20 https://x.com/digijordan/status/2059373093374578933?s=20 https://x.com/MJTruthUltra/status/2059361404566577519?s=20 https://x.com/GodRulesIRL/status/2059349328796299300?s=20 https://x.com/nicksortor/status/2059344808716509554?s=20 https://x.com/Timcast/status/2059311396794269927?s=20 https://x.com/pmarca/status/2059117308099043450?s=20 https://x.com/DataRepublican/status/1955380080831762825?s=20 https://x.com/conspiracyb0t/status/2058234088826487099?s=43%22%3Ehttps://x.com/conspiracyb0t/status/2058234088826487099?s=43%3C/a https://x.com/georgegalloway/status/2057828075987988723?s=43%22%3Ehttps://x.com/georgegalloway/status/2057828075987988723?s=43%3C/a https://x.com/therubberduck79/status/2059108776699904092?s=43%22%3Ehttps://x.com/therubberduck79/status/2059108776699904092?s=43%3C/a https://x.com/endwokeness/status/2059312345319395720?s=43%22%3Ehttps://x.com/endwokeness/status/2059312345319395720?s=43%3C/a https://x.com/endwokeness/status/2059404725351498070?s=43%22%3Ehttps://x.com/endwokeness/status/2059404725351498070?s=43%3C/a https://x.com/rothmus/status/2059372307970408461?s=43%22%3Ehttps://x.com/rothmus/status/2059372307970408461?s=43%3C/a https://x.com/tablesalt13/status/2057108102810312774?s=43%22%3Ehttps://x.com/tablesalt13/status/2057108102810312774?s=43%3C/a https://x.com/redpillb0t/status/2056846591252914380?s=43%22%3Ehttps://x.com/redpillb0t/status/2056846591252914380?s=43%3C/a https://x.com/trueonx/status/2059566095321977200?s=43%22%3Ehttps://x.com/trueonx/status/2059566095321977200?s=43%3C/a https://x.com/thehealthb0t/status/2059137525529391192?s=43%22%3Ehttps://x.com/thehealthb0t/status/2059137525529391192?s=43%3C/a https://x.com/tftc21/status/2058889513213030638?s=43%22%3Ehttps://x.com/tftc21/status/2058889513213030638?s=43%3C/a https://x.com/thehealthb0t/status/2059394221812130198?s=43%22%3Ehttps://x.com/thehealthb0t/status/2059394221812130198?s=43%3C/a     Timestamps:Timestamps: 00:00 - Introduction to the episode: technology and secrecy at a crossroads 02:33 - Organized crime in Canada: citizenship and embedded networks 07:24 - The rise of AI and data surveillance: Skynet and privacy concerns 15:12 - Power grids and infrastructure: build-up, decentralization, and space-based solutions 22:46 - UFO whistleblower claims: DNA databases and extraterrestrial hunting 40:26 - Theories of secret bloodlines, ancient royal blood, and alien hybridization 45:59 - The COVID vaccine, graphene oxide, and bio-hybrid theories 60:08 - The role of prominent figures and media in shaping societal narratives 66:04 - The NGO factory, foreign influence, and efforts to control technological innovation 70:50 - The global push for socialism, centralization, and potential revolutions 77:14 - Cultural shifts: media censorship, digital censorship, and "pandemic" management 84:33 - The symbolism of Black Goo, chemtrails, and geoengineering 88:24 - Disclosures, UFO files, and the possible manipulation of public perception 89:45 - The coming political upheaval: Deep State, the NSA, and global secrets 94:18 - The significance of Trump's recent posts about control and disclosure 97:37 - AI sentience, gene editing, and the future of human-machine integration 104:23 - The increasing influence of cartels, drug labs, and secret operations in the West 107:54 - Wrap-up: societal control, secret societies, and the future of freedom

Send us Fan MailPeaches and Aaron sit down for a Memorial Day conversation that's honest, reflective, hilarious, and painfully real all at the same time. The boys break down the actual meaning behind Memorial Day, the difference between Memorial Day and Veterans Day, and why the internet keeps turning remembrance into performative sadness instead of intentional celebration of the people we lost.They talk about friends killed in combat, training accidents, suicide, and the long list of names that never really leaves your mind—but also why most of those guys would absolutely hate seeing everyone sit around miserable on a four-day weekend.Then the conversation turns into Murph workouts, Vegas summers, Soft Week chaos, UFC fights, Fourth of July energy, military fitness standards, Pentagon bureaucracy, and leaked guidance from Pete Hegseth demanding a more merit-based warfighting culture across the force.Bottom line: honor the fallen however you want—but live your life hard enough that they'd be proud you're still here doing it.⏱️ Timestamps:00:00 Memorial Day Hits Different 02:00 Intentional Remembrance vs Sadness 04:00 Remembering the Boys 06:00 Memorial Day vs Veterans Day 08:00 Why Internet Guilt Is Annoying 10:00 What the Fallen Would Actually Want 12:00 “Bad Day to Be a Coors Light” 14:00 Stay Connected to Gold Star Families 16:00 Murph Workouts & Memorial Traditions 19:00 The Best Way to Partition Murph 22:00 Vegas Summers Are Elite 24:00 Tampa vs Las Vegas 27:00 Soft Week Bro Culture 30:00 America's 250th Birthday Energy 33:00 Why Patriotism Feels Different Again 36:00 Red, White & Blue Everywhere 38:00 AI, Skynet & Letting America Cook 40:00 Leaked Meritocracy Memo from Hegseth 43:00 Fitness Standards Across the Military 46:00 Why Weakness Gets Celebrated Online 49:00 The Profession of Arms Matters 52:00 Why Every Military Member Needs Baseline Fitness 55:00 The Problem with Excuses 57:00 Memorial Day Final Thoughts

Artist Anthony Freda describes his professional evolution from marketing cigarettes to children and war to the public for NYT and WSJ to eventually finding a home in alternative media as a dissident political artist in order to maintain his moral integrity. The conversation explores the heavy cost of dissent, including professional blacklisting and legal persecution for challenging official narratives. He expresses deep concern over the budding digital prison and particularly the rise of AI, which he views as a threat to human sovereignty. Anthony frames current global events as a spiritual battle between light and dark, urging listeners to resist state-sponsored tyranny and cultural inversion. Watch on BitChute / Brighteon / Rumble / Substack / YouTube *Support Geopolitics & Empire! Become a Member https://geopoliticsandempire.substack.com Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation **Listen Ad-Free for $4.99 a Month or $49.99 a Year! Apple Subscriptions https://podcasts.apple.com/us/podcast/geopolitics-empire/id1003465597 Supercast https://geopoliticsandempire.supercast.com ***Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics American Gold Exchange https://www.amergold.com/geopolitics Escape The Technocracy (15% off w/ GEOPOLITICS!) https://escapethetechnocracy.com/geopolitics Expat Money (FREE “Plan B” Report!) https://expatmoney.com/geopolitics PassVult https://passvult.com Sociatates Civis https://societates-civis.com StartMail https://www.startmail.com/partner/?ref=ngu4nzr Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Website https://anthonyfreda.com Substack https://anthonyfreda.substack.com YouTube https://www.youtube.com/@FredaTheArt About Anthony Freda Anthony Freda is a controversial political artist who left mainstream clients like The New York Times and Wall Street Journal to work for alternative media, including a 10 year run with Infowars as an artist and writer. One of his pieces is part of the permanent collection of the 911 Museum in NY. It is the only piece to question the official narrative. He formed Occupy Peace with Gerald Celente and was under contract in 2024 for RFK Jr’s presidential campaign Super PAC, AV24. He is currently a permanent faculty member of FIT in New York. *Podcast intro music used with permission is from the song “The Queens Jig” by the fantastic “Musicke & Mirth” from their album “Music for Two Lyra Viols”: http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)

In the futuristic year of 2015, Los Angeles is fully under Skynet's control. Extermination camps have been set up to wipe humanity off the face of the earth. You must escape one such camp and get in touch with John Connor, Kyle Rees and the rest of the resistance. This is the premise of Terminator: […]

Hosts: TJ, Brett, & Krissy This week on the show: Segment One (0:00:00): (0:03:59) Brett gets his fishing game on, preps for the next season of lawn care, and grandkids love Star Wars. (0:16:26) Krissy is getting her groove on as a quilting corporate magnate. (0:23:39) TJ continues his eBay shenanigans and unleashes Skynet's talents on landscaping designs on The Quad M Plantation. m Segment Two (0:52:44): (0:55:30) It's another follow up on this week's FGS as a jewel thief decides to defend himself in his upcoming trial. (1:09:49) HOT TAKES kicks off with some major losses in the GRIM REAPER ROUND UP. (1:23:12) It's a very special two segment KRISSY KRAZY KORNER as the gang works THE BRACKET to determine the biggest bust in NFL history. We start with the Sh*tty Sixteen and the Epic Sh*tshow Eight. Segment Three (2:17:41): (2:19:32) KRISSY'S KRAZY KORNER continues with the F*cked Four and The Grand Chump-ionship of THE BRACKET (2:31:04) PICKS O' THE WEEK It's THE QUAD M SHOW!

The rise of Skynet is probably a few years away, but that hasn't stopped lawyers from torching their careers in spectacular fashion with the new technology. We discuss.Check out our new True Crime Substack the True Crime Times Get Prosecutors Podcast Merch Join the Gallery on Facebook Follow us on TwitterFollow us on Instagram Check out our website for case resources: Hang out with us on TikTokSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 602.585.9800More HMS: holmbergpodcast.com, 98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode 5282: Who Comes Out Victorious In This Ceasefire; Anthropic And Rise Of Skynet