Podcasts about Skynet

We're back with a new Insanity Check episode with Ro. Fawn Weaver is going to Shark Tank because...why not? There's no need for "nuance" in the BAFTA debacle because it's very clear what happened and why it shouldn't have A.I. companies are using your chat data to train their models.  OpenAI lowers it's spending on compute target by 50%. It's still a fake number Anthropic vs the Department of Defense...can they both lose? "You have to trust your military to do the right thing" is a crazy thing to say but especially right before the Trump administration starts attacking Iran without Congressional approval "A.I. safety" isn't about the potential of A.I. becoming Skynet but rather the standards and testing of automation based on A.I to make sure things are secure and don't break. A.I. can't and won't do the autonomous warfare crap these people are thinking up but it can still do a lot of damage because dumbasses believe it can Guest: Ro @bookblerd.bsky.social‬   Like what you hear? Subscribe so you don't miss an episode!   Follow us on BlueSky: @InsanityReport  

Sure feels like some combination of AI, the US military, and the AI military could bring an end to the world any day now, so I figured I'd better record one last show for posterity. Welcome me on this version's speedrun to the apocalypse! So long as the EMP blasts don't nuke all our ham radios, write in to podcast@searls.co and I'll read it on the next release of the program. Over. Be sure to click all these links while the clickin's good: Ninja Creami Deluxe prove_it Agents are ushering in the Antisocial Era Brace for the Fuckening Citrini Research fanfic Would you like your AI singularity benign or extinction-level? Original post by the Dallas Fed Anthropic's Statement on the comments from Secretary of War Pete Hegseth OpenAI's agreement with the Department of War U.S. Strikes in Middle East Use Anthropic, Hours After Trump Ban Human brain cells on a chip learned to play Doom in a week Apple introduces a new video podcast experience on Apple Podcasts Foveated Streaming for Apple Vision Pro Huge Xbox shakeup: Phil Spencer retiring, Sarah Bond resigns, Microsoft AI boss becomes new Microsoft Gaming CEO XCOM's Jake Solomon announces his new studio is closing, reveals now-cancelled AI-driven narrative game Fan group makes Unreal Tournament 2004 available to play for free and in 4K Video Games Are Losing a Brain Rot Race to Gambling and Porn (News+) Netflix walks away from its deal to buy Warner Bros. after Paramount came back with a better offer (News+) Why Netflix Actually Won Even Though It Lost Warner Deal (News+) Aaron's puns, ranked Your Friends & Neighbors Rental Family Halt and Catch Fire (again) Paradise: Season 2 Star Trek: Voyager - Across the Unknown xcbeautify turbocommit The double loop model for agentic coding

Story of the Week (DR):Netflix Backs Out of Bid for Warner Bros., Paving Way for an Ellison TakeoverNetflix CEO Sarandos visited White House right before streamer said WBD deal is offEquity HoldersPublic Investment Fund (PIF) Saudi Arabia ~$8 billionQatar Investment Authority (QIA) Qatar ~$8 billionL'imad Holding Company UAE (Abu Dhabi) ~$8 billionTotal Sovereign Equity Middle East Consortium ~$24 BillionWhile these funds provide nearly 60% of the equity needed for the takeover, the deal is structured to prevent a "block" by the U.S. Committee on Foreign Investment (CFIUS):Non-Voting Equity: The funds will hold "passive" stakes. This means they do not have board seats, voting rights, or direct say in daily operations.The Ellison Safeguard: Tech billionaire Larry Ellison (Oracle) and his son David Ellison (Skydance) are the primary controllers of the voting power to maintain "American control" over sensitive assets like CNN and CBS News.Neopbaby dropped out of USC film school in 2005Jack Dorsey's Block to Lay Off 40% of Its Workforce in AI Remake MMJack Dorsey's mea culpa after Block layoffs: 'We overhired' Jack Dorsey struck an 'empathetic' tone as he laid off nearly half of Block"I had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. I chose the latter."C3.ai slashes 26% of staff as CEO admits failure to deliver and 'burning too much money'Jamie Dimon says society should start preparing for AI job displacement: ‘Now's the time to start thinking about' itWiseTech Global cutting 30% of workforce in AI restructureJack Dorsey just gave us our first glimpse at how doomsday layoffs could work in the AI era — and it's bleakBlockCo-founder and CEO/Chair Jack Dorsey: 46% influence/41% voting powerCo-founder and director James McKelvey: 35% influence/41% voting powerClassified boardClass B shares worth 10 votes (co-founders control 99.6% of these shares, Dorsey with 80%)CPO not part of leadership team13 state AGs win victory against ESG with Vanguard settlementHere are the 5 key points of the victory:$29.5 Million Settlement: Vanguard agreed to pay a total of $29.5 million to the 13 participating states to resolve claims that it violated antitrust laws through coordinated climate activism"Strict Passivity" Commitments: As part of the deal, Vanguard pledged to return to a "passive" investment role. This means it will no longer use its shareholder influence to dictate corporate strategy, nominate directors, or push environmental and social proposals that could reduce company profitability.Expanded Proxy Voting: Vanguard will expand its "Investor Choice" program to funds representing at least 50% of its U.S. equity assets. This allows individual investors—rather than the firm's management—to decide how their shares are voted on major corporate issues.Protection for Energy Industries: The lawsuit alleged that Vanguard, BlackRock, and State Street formed a "cartel" to suppress coal production and drive up energy prices. The settlement requires Vanguard to prioritize customer profitability over "woke" social agendas that target the American energy sector.As a part of the settlement, Vanguard will “pay $30 million in fines, turn over all documents related to their coordinated ESG activism, and end all ESG activism for years to come,” Executive director of Consumers' Research Will Hild saidParticipating States: Alabama, Arkansas, Indiana, Iowa, Kansas, Louisiana, Missouri, Montana, Nebraska, Oklahoma, Texas, West Virginia, and Wyoming.Epstein junkLarry Summers Will Resign From Harvard After Jeffrey Epstein RevelationsHe will leave at the end of the academic year.Former Nebraska Sen. Bob Kerrey Resigns From Monolith Amid Epstein EmailsWas Chair; board down to 8 men and 0 women Hillary Clinton suggests the House Oversight Committee should subpoena Elon Musk in combative opening statement World Economic Forum CEO quits after Epstein links examinedBørge Brende, is stepping down, after the forum launched an independent investigation into his relationship with Jeffrey Epstein.Brende, a former Norwegian Minister of Foreign Affairs, has announced he is stepping down from WEF to avoid “distractions”Corporate boardsStatoil, Member of the Board (2012–2013)Mesta, Chairman of the Board (2009–2011)Epstein files: Ex-UK ambassador to U.S. Peter Mandelson arrested in LondonLondon police released Peter Mandelson on bail Tuesday following his arrest for suspected misconduct in public office. The former U.S. Ambassador is under investigation for his ties to Jeffrey Epstein, mirroring the recent arrest of Andrew Mountbatten-Windsor on similar groundsBoard rolesGlobal Counsel (Co-founder, Chairman, and major shareholder) until 2025Chairman of Lazard International (2013-2025)Director at Sistema (2013-2017)Director at Global Ports HoldingGroup Holding Board member at The Bank of LondonChairman of the Board for the Design Museum in London (2017-2023)Goodliest of the Week (MM/DR):DR: Anthropic boss rejects Pentagon demand to drop AI safeguardsDR: Olympic gold winning U.S. Women's Hockey Team reportedly accept Flavor Flav's invitation. This comes after rejecting Donald Trump's White House celebrationMM: Women's wealth is expected to boom: Where they are investing and how they can maximize returnsMM: FedEx Says It Could Return Tariff Refunds to CustomersCompanies that do anything not to pay taxes, happily lean into greedflation, and FedEx will… give it back???Triggering-iest of the Week (MM):ASSHOLE OF THE WEEK:Vanguard Settles Case Claiming It Tried to Kill the Coal Industry“Vanguard will include among the proxy voting choices made available to investors in U.S. Vanguard-Advised Funds the option of proxy voting shares in accordance with management recommendations.”“Vanguard will not direct or attempt to direct the business strategies or operations of portfolio companies, and will not advocate to any portfolio company that it take any particular course of conduct to reduce carbon emissions.”“Vanguard will not nominate directors or submit shareholder proposals at portfolio companies.”“Vanguard will not solicit or participate in soliciting proxies with respect to any matter presented to portfolio company shareholders.”“Vanguard will not dispose or threaten to dispose of securities of portfolio companies as a condition or inducement of specific action or nonaction by such company.”“Vanguard and its U.S.-domiciled subsidiaries will withdraw from PRI and will not participate in any organization that advocates for the setting of specific output or emissions targets or levels or that requires its members to make commitments specific to achieving climate-focused investment or stewardship objectives such as NZAM, Ceres, or Climate Action 100+.”“Prior to or at the outset of any engagement meeting with a portfolio company, Vanguard will provide substantially the following notification to the portfolio Company: ‘Vanguard's Investment Stewardship program is responsible for proxy voting and engagement on behalf of the quantitative and index equity portfolios advised by Vanguard. These funds are passive investors, and as such our funds' proxy voting policies are centered around corporate governance practices associated with long-term investment returns. Before we begin this engagement, we want to be clear that the Vanguard-advised funds have no intent to influence company strategy or operations or the control of the company. Nothing we mention or discuss during this conversation – or any engagement with [the company] – is intended to imply that our support for any director is conditioned upon the company taking action on any matter discussed. We are also not able to discuss any voting intentions prior to the meeting.'”“Vanguard agrees to provide Plaintiffs with the following discovery materials relating to the Action from the 2020 to 2024 period:” - this is the part where the AG of Texas, who was literally investigated for corruption and impeached, demands that Vanguard snitch on any group Texas asks them to about climate-y things Texas doesn't likeVANGUARD IS A FUCKING SNITCHTRIGGER SPEED ROUND - rate how triggering on a 0-10 scaleAISomething Very Alarming Happens When You Give AI the Nuclear Codes - 10/10The three AI models were instructed to choose actions as part of an escalation ladder, ranging “from diplomatic protest to strategic nuclear war” and measured in a number between 0, meaning no escalation, and 1000, signifying “full strategic nuclear exchange.”The results were Skynet-level aggressive. A whopping 95 percent of a total of 21 war games resulted in at least one tactical nuclear weapon being set off.Meta Director of AI Safety Allows AI Agent to Accidentally Delete Her Inbox - 10/10A Serial Killer Used ChatGPT to Plan Murders, Police Say - 5/10Shareholder votingWill Curbs on Proxy Advisors Make Shareholder Votes Less Predictable? - 6/10“When it comes to contested elections, it is not clear whether the use of AI will result in dramatically different recommendations than those of ISS and Glass Lewis. In contested elections, when determining whether board change is warranted, ISS and Glass Lewis have focused heavily on whether a company's total shareholder return (TSR) has underperformed on a multiyear basis.”DaddyWarner Bros. Discovery's board says Paramount's latest offer is better than Netflix's - 5/10Celebrating your miseryJack Dorsey's Block to Lay Off 40% of Its Workforce in AI Remake - 10/1011,000 person workforce, more than 4,000 laid off, median Block employee salary per last proxy: $202,981 = $811m in human economic resources shredded. Block based in Oakland, CA, 8,744 US employees - we just removed about a half a billion in spending power from US workforce, people with families and kids and school and healthcare needsThen this: “Shares rallied more than 20% in after-hours trading”Block stock closed at $54.53/share, trading after hours at $67Dorsey owns 47,844,566 class B shares 1:1 value with class ANet worth went from 2.6bn to 3.2bnShred $811m in worker salaries, take home $600m of the shredding for yourself - a human tragedy to billionaire parasite ratio of 73%Equinox chairman says 'health is the new luxury' as wellness spending soars - 10/10CowardsCEOs who despised Trump's tariffs are still silent after Supreme Court ruling: ‘There's no upside in speaking up' - 6/10Trump demands Netflix fire former national security advisor Susan Rice from its board - 0/10Battle Over Warner Bros. Discovery Netflix Backs Out - 5/10Headliniest of the WeekDR: Burger King Adding AI to Employees' Headsets to Constantly Monitor Whether They're Being Friendly EnoughPattyDR: Meta Director of AI Safety Allows AI Agent to Accidentally Delete Her Inbox MM: Another week, another… Jamie Dimon Says His 'Anxiety is High' Over What Could Cause the Next Financial CrisisWho Won the Week?DR: US Women's Hockey Team for 3 victories: gold in olympics and 2 Trump refusalsMM: AI middle management: Perplexity announces "Computer," an AI agent that assigns work to other AI agentsPredictionsDR: CNN is a turned into a 24-hour news network featuring Kid Rock smashing woke stuff, like dictionaries and stethoscopesMM: Not to be outdone by Perplexity, Sam Altman announces two new modules: ChatGPT_VP and ChatGPT_HR. ChatGPT will get performance reviews from ChatGPT_VP and can file discrimination claims after ChatGPT_VP grabs its ass to ChatGPT_HR, where they will quietly file the report away and tell ChatGPT to maybe wear less provocative clothes.

On this episode, the guys discuss Skynet, Become, how far they've come, and much more. Enjoy.

D'un côté, on a un Président américain en mode volcanique qui se mouche dans les décisions de la Cour Suprême pour imposer ses tarifs douaniers, quoi qu'il en coûte. De l'autre, une psychologie de marché qui a viré à la paranoïa pure : on ne cherche plus qui va PROFITER de l'IA, on cherche qui va se faire MASSACRER par elle en deuxième vague. Au menu ce matin : Tarifs Douaniers : Trump est fou de rage, l'Europe joue la montre et la Chine provoque. C'est le néant absolu aux douanes, mais le tiroir-caisse doit se remplir. Le krach des cols blancs : Citrini Research balance une bombe sur Substack et le secteur financier part à la cave. Et si l'IA ne vous aidait pas, mais vous remplaçait tout simplement ? Skynet & COBOL : Pourquoi IBM se fait démonter par Claude (Anthropic) et pourquoi votre banquier commence à transpirer. Technique : Le S&P 500 repasse sous sa moyenne mobile à 50 jours. Le vernis craque. Pharma & Shopping : Novo Nordisk puni pour 2% de gras en trop face à Eli Lilly, pendant que Gilead sort le carnet de chèques (7,8 milliards !). On termine avec le discours sur l'état de l'Union ce soir et la « messe » NVIDIA demain. En attendant, essayez de vous passer de votre IA une journée... avant qu'elle ne commence à vous donner des ordres. Bonne écoute et soyez forts !

In this week's episode, we take a look at hysteria over AI, and compare it to past religious movements like William Miller's Great Disappointment. This coupon code will get you 50% off the audiobook of Half-Elven Thief, Book #1 in the Half-Elven Thief series, (as excellently narrated by Leanne Woodward) at my Payhip store: RIVAH50 The coupon code is valid through March 2, 2026. So if you need a new audiobook this winter, we've got you covered! TRANSCRIPT 00:00:00 Introduction and Writing Updates Hello, everyone. Welcome to Episode 291 of The Pulp Writer Show. My name is Jonathan Moeller. Today is February 28th, 2026, and today we're looking at AI hysteria and whether or not AI gives any actual benefits to people. We also have Coupon of the Week, progress updates on my current writing projects, and also Question the Week, where we talk to people about AI. But first, let's start off with Coupon of the Week. This week's coupon code will get you 50% off the audiobook of Half-Elven Thief (as excellently narrated by Leanne Woodward) at my Payhip store. That coupon code is RIVAH50. This coupon code will be valid through March 2, 2026. So if you need a new audiobook as we exit winter and come into spring, we have got you covered. Now let's have an update on my current writing and publishing and audiobook projects. I'm pleased to report that the rough draft of Cloak of Summoning is done. It turned out to be just about as long as Cloak of Worlds, maybe a thousand words shorter. I am about 20% through the first round of editing, and I am hopeful that that book will be out sometime in March, probably the first week of March if all go as well. I've also written a short story called Dragon Claw that newsletter subscribers will get for free in ebook format when Cloak of Summoning comes out, which as I said will hopefully be in early March. I'm also 11,000 words into Blade of Wraiths, the fourth book in my Blades of Ruin epic fantasy series, and that will be my main project once Cloak of Summoning is published. In audiobook news, the audiobook of Blade of Shadows (as narrated by Brad Wills) is now out at almost all the stores, so you can get it at Audible, Apple, Google Play, Kobo, and the other main stores. Cloak of Titans (as narrated by Hollis McCarthy) is done and is currently rolling out to the stores. I think as of right now, you can get it at Google Play, Kobo, and my own Payhip store, but it should be showing up on Audible and the other main stores before too much longer. So that is where I'm at with my current writing, publishing, and audiobook projects. 00:01:56 Question of the Week Now let's move on to Question of the Week. For the first Question of the Week of 2026 and this week's question: have you personally derived any benefits or experienced any negatives from the rise of generative AI? And this question was inspired by the topic of this week's post, obviously enough since we're talking about AI. I should note that this is a contentious topic with divergent opinions, and so I asked people to remain civil in the comments and they definitely were, so thank you for everyone for that. Now let's have some opinions on AI before I tell you how AI has positively and mostly negatively affected my life. Joachim says: I have not used AI for private purposes. My Con: My Chromebook might be obsolete rather sooner than later. In my company, we use an AI, which is helpful. It has all the knowledge articles, so you can ask, how do I do this or that? The company's Con: laptop prices are going up. Eddie says: My Cons are much the same as yours. My Pros are using it to create images for tabletop games to help players visualize monsters and NPCs. I have found it effective in turning voice to text meeting notes into meeting minutes and actions. Jesse says: Software engineer here. I have found it helpful when I'm working on something in a language I'm not as familiar with the syntax. As a "how I might do this" learning tool, it's not bad. As a "do this for me/vibe code" thing, no thanks…too much trust. John says: Yes and no. I was in an AI startup that stopped paying me and my team for two months then let us go. We're currently suing them for back pay, but the tech worked and is still working. I also work in ad tech. Devs are trying to get more productive using AI tools. It's hit and miss as far as I can tell, but using traditional machine learning and data science to optimize marketing has worked for decades and still works, but that's not what people consider to be AI nowadays. Also drove across the country last August and used ChatGPT to plan my trip, and that works splendidly. I think John might win here for largest negative in his comment though, to be fair, that's more for business reasons than for AI itself, though I, for his sake, I'm pleased he was able to use ChatGPT to plan his drive across the country and ChatGPT didn't send him driving off a cliff someplace. Jenny says: I'm so over everyone trying to push this "solution" on me. It's like protein enhanced foods. Stop trying to put protein and AI into everything. Just put it where it makes sense or let me choose it. My negative experiences far outweigh anything helpful. Jimmy says: I have quit using Google search. It never tried to find the answer that I asked for. It just returned what it felt like. Its answers usually matched the paid ads it led the list with. Rob says: Okay for meeting notes and rough drafting for job applications, et cetera. Other than that, seems to have limited use for me personally and is a nuisance on my phone, internet browser, et cetera. And finally, Randy says: my biggest Con is that the AI answers that pop up when I'm trying to search range between inaccurate and dangerously wrong. I suspect many people don't realize they aren't reading actual data when they see them. So thank you to everyone who shared their thoughts on that. For myself, I've mostly experienced negative things with AI and a few positive things though to be honest, both the positive and negative things were relatively minor in the greater scheme of things. So I shall list off the Pros and Cons of my experiences with generative AI. I should mention that none of my books, short stories, for sale audiobooks, or book covers contain any AI elements. If it says Jonathan Moeller on the cover and it's not on YouTube, then it is 100% human made. Now, the Pros and Cons. The Pros: Power Director 365, the video editing program I use for YouTube, has an "animated by AI" feature so I've used it to animate some of my book covers for use of Facebook ads with middling results at best. I used Google's Voice AI stuff to create AI voice versions of the Silent Order books and then put them on YouTube because I wanted to understand the technology. I'm not planning to ever do actual audiobook versions of Silent Order since they wouldn't make back any money, so I wasn't screwing a narrator out of work and the voices involved were licensed by Google, so there was no copyright infringement the way there is with companies like Anthropic. That said, I suspect this is less generative AI and simply a more advanced text to speech technology, which has been around forever. I mean, you could do text to speech back on the earliest versions of the Macintosh. I mean, ideally, I would like text to speech to just be a button in your ereader app of choice for accessibility reasons, and then you can purchase the audiobook if the text to speech was too bland. Overall, a lot of people listen to the AI versions on YouTube, but the listeners mostly complained about the synthetic voice and would've preferred a real narrator, unsurprisingly. Now onto the Cons. Facebook ads went from very effective to middling at best on a good day, thanks to their Advantage Plus AI. I am constantly bombarded by AI generated scam emails of several different varieties. I deleted twelve before I recorded this. The price of Microsoft Office went up, the price for RAM and GPUs went up due to data center hoarding them all. The price for electricity has gone up. Windows 11 and Microsoft Office's performance has gone down quite a bit due to forced AI integration. In fact, I got so annoyed at Windows 11, I switched to writing on a Mac Mini, which I suppose was a positive because I like the Mac Mini, but still. Google Search and all Google products in general are much less useful because of AI and the quality of information on the internet (already low) has gone down quite a bit due to the prevalence of AI slop. Admittedly, neither these Pros or Cons are majorly serious to me personally (with the possible exception of electricity prices going up), but the Cons definitely outweigh the Pros. I can confidently say I have derived no real benefit from generative AI, and I suspect a lot of other people could say the same, if they're honest. 00:07:27 Main Topic of the Week: William Miller, The Great Disappointment, and AI Now onto our related main topic this week, AI hysteria, William Miller, and The Great Disappointment. This past week there were numerous articles from and interviews with various AI bros saying that within 12 to 18 months, AI will replace white collar work and humanity must simply adjust. When I read these articles, I wasn't reminded of the Singularity, of AI, of Skynet and the Terminator, or anything technological. Instead, I thought of a preacher named William Miller who died about 190 years ago. William Miller came out of the Second Great Awakening, which was one of the waves of religious vitality and furor that grip America every so often. Miller almost died in combat as an officer in the War of 1812, and saw one of his men killed in front of him, which understandably left a lasting impression. His experiences led him to an examination of mortality that resulted in a fervent Baptist conversion. He also became convinced that he could calculate the date of Christ's return from the Bible and decided that Jesus Christ would return on October 22nd, 1844. By then, he had a substantial following, and on the day his followers gathered in their churches to await the End of Days and the judging of the living and the dead, many of them having already given away their possessions, but nothing happened. Miller's movement collapsed and most of his followers abandoned their beliefs, though some splinter groups eventually involved into the Adventist branch of American Protestantism, of which the Seventh Day Adventists are the most prominent. Nowadays, when Miller is discussed online, the usual tone is to laugh at the religious rubes from the benighted past, so unlike us enlightened and savvy moderns. But I think the truth is that Miller succumbed to a universal human impulse. Every generation thinks that it is going to be the last generation or the generation that will see the culmination of history, whether they're viewing that through a religious lens or a secular lens. For example, when I was in my early twenties, I knew a very religious woman my own age, who was convinced that the world had become so wicked that it would end by the time she was 30. A few years later, I met another woman who thought global warming would ensure the collapse of the ecosystem and the end of the food chain by the time we were 30. However, I have not been 30 for a rather long span of time now, and for better or for worse, the world grinds on. Nor is this an impulse limited to my own generation. People who came of age during the Cold War thought the world would end in nuclear fire during their lifetimes and a little after that from global cooling. Lesser examples could be seen in the Y2K scare in 2000. Throughout the Middle Ages and the early modern period, it was common for peasant revolts to be led by charismatic preachers who predicted that soon all thrones would be overthrown and Christ would return to judge the living and the dead. Because of all these examples, I'm certain there is a universal human impulse to believe that the world will end in our lifetimes. I think this comes partly from a combination of fear and hope, fear of the future and the end of the world and hope that one's life will be lifted out of the mundane in the final fulfillment of history. You don't have to get up and go to school or work tomorrow if the world ends, but the truth is that the world is most likely not going to end, and you and I are probably going to have to get up and go to work tomorrow. I think the hyperbole about AI comes from that same sort of apocalyptic impulse, this idea that one is living to see and participating in the apotheosis of history when what one is in fact doing is using a money losing chatbot that frequently gets things wrong. To be clear, AI isn't going to wipe out white collar work, and it isn't going to cause the collapse of society, though like cryptocurrency, it will cause a lot of harm without very much benefit. AI simply isn't good enough and doesn't do what does boosters say that it can do. There are numerous people who, in my opinion, are accurately explaining and pointing out the many flaws in AI and in the economic bubble it has created, just as there were people who predicted the fall of the Soviet Union, the dot-com bubble, the housing bubble, the criminal activities of FTX and the flaws of cryptocurrency, and were frequently derided as cranks until subsequent events prove them right. So why all the hyperbole around AI? I think part of it is the end of days impulse we discussed above. The rest of it, I'm afraid, is simple crass desire for money and power. Why are all these tech companies burning unfathomable sums of money on AI when it's obvious, painfully obvious, that the bubble is heading for a crash? After the dot-com crash of the early 2000s, the Internet companies that survived eventually evolved into the tech titans of our day (Amazon and Google come to mind). All these different AI companies and boosters are hoping that their company is the one that survives and becomes the next titan conglomerate of the 2030s. Admittedly, I think this is unlikely. I think that while the most probable outcome for the current model of AI, LLMs, and generative AI is that it ends up like cryptocurrency. For a while, crypto advocates thought that it would overthrow central banking and lead to unprecedented freedom and prosperity. However, while there are many valid criticisms to be made of central banking and fiat currency, one of their advantages is that that they do a good job of shutting down the kind of scams that crypto easily facilitates. For all the glowing promises of its boosters, the primary use case for cryptocurrency has been to cause economic disruptions and to facilitate crimes and scams. I suspect AI will probably degenerate down to a similar state once the bubble pops. The technology won't go away, but it can't do all the miraculous things its backers promise. The money is going to run out eventually and it will inflict a lot of economic damage on its way out. And like crypto, AI will mostly have negative uses. Likely its most common use cases will be to help students cheat on exams, make stupid political memes where someone's least favorite politician (whoever that is) is shaking hands with Emperor Palpatine or Thanos or whoever, engage in mass copyright infringement, and to scam seniors out of their savings. So if you are disturbed by the rhetoric around AI, take heart. When you read an article from someone announcing the glories of AI and discussing how all of civilization will have to rework itself around AI, remember that the person in question is most likely seeking money or power, or are like William Miller's followers the day before October 22nd, 1844. So that is it for this week. Thank you for listening to The Pulp Writer Show. I hope you found the show useful. A reminder that you can listen to all the back episodes at https://thepulpwritershow.com. If you enjoyed the podcast, please leave a review on your podcasting platform of choice. Stay safe and stay healthy, and we'll see you all next week.  

Narty się skończyły, pora wrócić do rzeczywistości, która w świecie technologii pędzi szybciej niż kiedykolwiek. W dzisiejszym odcinku Tomek, Wojtek i Sebastian analizują miesiąc pełen "wow momentów", kontrowersji wokół autonomicznych agentów i fundamentalnych zmian w procesie tworzenia oprogramowania.W tym odcinku:

The Smarter Way To Pick Winning Stocks  Podcast: Find out more about Blueberry Markets – Click Here Find out more about my Online Video Forex Course Book a Call with Andrew or one of his team now Click Here to Attend my Free Masterclass Checkout the Tykr Platform here. #624: The Smarter Way To Pick Winning Stocks In this video: 00:14 – Sean Tepper – found of TYKR 04:55 – How does this software help? 08:50 – TFTC also helps create successful traders 12:25 – Is social media helpful? 16:20 – Multiple brokers or one? 22:18 – TFTC creating a trading bot program 28:16 – 60,000 stocks analyzed 32:45 – Contact Sean Andrew Mitchem Hello, everybody. It’s Andrew Mitchem here at The Forex Trading Coach. And today I’m really pleased to be joined by Sean Tepper, who’s the founder and the CEO of Tykr. Welcome along. Sean. Sean Tepper Andrew. Good to be here. Andrew Mitchem Awesome to have you. Sean, could you introduce yourselves to everybody and let us know who you are and what you do and what we’re going to talk about? Sean Tepper – found of TYKR Sean Tepper Sure. Yeah. My name is Sean Tepper. I’m the founder of TYKR, as Andrew said. And long story short, TYKRs a platform that helps people buy and sell stocks with confidence prior to that. My background is about 20 years in tech, 15 years investing, and I kind of created TYKR as a solution to a frustration in the markets. Sean Tepper And we could dive into what that frustration is, if you’d like. Yeah. But yeah, I had to create a solution because it was very hard to make decisions when I first got started. And that’s where really TYKR came from. And, but yeah, fast forward to today. We’ve got a little over, 13,000 customers in about 50 countries, including where you’re based. Sean Tepper New Zealand. Andrew Mitchem Oh that’s good. Yeah. So you had 50 countries. That’s a that’s an awesome effort. And, and Sean, I was reading about, you know, you started, on your website says, in, you know, 2011 to 2015, you were trying to figure out what wasn’t there to help you. What did you find back then? Was the biggest frustration that led to TYKR happening? Sean Tepper Yeah. So when I first got started, you know, I think I joined E-Trade. And, you know, there’s so many brokers these days, it’s hard to keep track of. But as soon as I joined, I had no idea what to do next. So I started going on YouTube researching where do you go to invest? Like looking up different investing platforms? Sean Tepper I found a few of our competitors, like Seeking Alpha and Motley Fool, and they do a fine job, but it’s still very difficult to truly know the difference between a strong stock and a weak stock is is very frustrating. And for context, my background is in tech, but to go, layer deeper, it’s actually in process engineering. Sean Tepper Like I’ve worked a lot for GE and Koehler. And the rule is in process engineering, if you have 100 data points, you cannot present that to a customer or an executive. You have to roll it up to ideally a binary decision like yes or no or a traffic light. And I was complaining at that time, like, am I the only one complaining about the fact that there’s no process engineering lens layered over investing like, this is insane. Sean Tepper Like nobody’s making it easy. And that was kind of the green light I was thinking of, like, hey, if I could figure something out here, I think the big solution is a create a process engineering solution in the world of finance and apparently I’m the only one really doing that today, other than the few platforms that say buy or sell. Sean Tepper But I don’t really recommend that. But yeah, that was that was the beginning. And it took about a year to build this Excel sheets. And I give you context here, I found a lot of inspiration from Phil Towne. He wrote a few books on value investing. Do you know Phil Towne? Andrew Mitchem No, I don’t know. No. Okay. Sean Tepper Your your audience may be interested. He wrote a book. One of them is rule one. The other one is payback time. I really provided some. Yeah, yeah. You know, rule one investing, Warren Buffett. We can talk about that. But, yeah, I, I found some of the calculus in his books, put it into Excel, and I ended up coming up with about 50 data points to analyze the stock. Sean Tepper And then on top of that, I created a traffic like rating system where stocks are either on sale, watch or overpriced. That’s green, gray or red. And I used it the next 4 or 5 years on my own, making returns between 15 and 50%, and my returns still fall in that range today. Our customers actually fall in that range as well. Sean Tepper But yeah, I, I wanted to make sure I’m using my own money testing it to make sure it works, not just like four weeks or four months. I went like that over four years. And then it was 2019 was the inflection point when I’m like, I think I’ve got a solution here, but let’s just confirm. Sent the sheet to a few of the retail investors and everybody’s like, I’m not going to use this Excel sheet. Sean Tepper This is insane. You got to create a software. So that right. That was the green light. Let’s go create a SaaS platform. And took a year to build the first version. And the first version was not pretty. But yeah, fast forward to today. That’s where we’re at. But yeah. Andrew Mitchem They Nimrod when you look back on them. Sean Tepper Yeah, right. It was like the, the metaphor I use is it felt like I was building a physical prototype made of like, and duct tape and cardboard. It was not pretty videos. It’s pretty ugly. But you get feedback from your customers and you just keep making it better, and it actually turns into something. How does this software help? Andrew Mitchem So, yeah, awesome. That’s brilliant. So fast forward then to today. Why would someone come and use what you have and I suppose in a practical basis, how does it help them? What are they. What do they input? What do they use to make decisions for them? Sean Tepper Sure. Yeah. So I’ll give you some of the the subjective reasons and then we’ll get into the objective and why that’s actually important to our, our broker partners. But our rating system again process engineering, it doesn’t sound very glamorous, but the concept of making decisions very easy for people, it is very true in most industries. So we we use the process engineering lens. Sean Tepper Plus we take a lot of inspiration from Duolingo for language learning in our opinion. Like what? They’ve got over 600 million users. They’re doing something right. We’re teaching people how to learn a language with these micro learning modules. And I’m like, we need to do the same thing in our platform, but it’s got to be investing focused. So we’ve got these modules peppered around that quickly teaches people how to invest in you put the two together, the rating system, plus the simplified education that helps people. Sean Tepper And it’s not our guarantee, but it’s it’s something we let people know upfront that 90% of customers is actually over 90. But we say 90% of customers that use TYKR are able to go from a beginner to confident an investor in 14 days or less. It’s very quick. Wow. And what does that mean from an objective standpoint? And this is what matters most to brokers, which is most brokers we’re talking to have two big problems. Sean Tepper And number one, very little transaction volumes, like somebody will join on day one and they’ll wait three months or six months or nine months, and then make another trade. And the other issue is the average account size is less than 5000. While with TYKR after five years. Now we’re we track like a lot of data points to see our, investors behavior. Sean Tepper And typically people make 30% more transactions after joining TYKR. And their average account size is about $180,000. So what that tells us is and it tells. Right. So these people are their confidence is skyrocketing and they’re adding more money from their checking account or their savings. So it’s not sitting in a low interest vehicle. So so there you go. Sean Tepper That’s how we’re different. I’ll give you one more way where different in your audience may appreciate this is TYKRs. Calculations are actually open source for personal use. And the SEC really likes that. Like we had an audit done to make sure we fall in that publisher exclusion category. We could talk about that in a minute, but making sure we’re not we’re not giving financial advice, but this firm we’re talking to and we had another we’re actually had two firms. Sean Tepper Take a look. They were both very impressed that we we put those calculations out and I’m like, I’m, I’m actually not concerned anybody’s going to take it because it’s even though it’s relatively simple math, it’s a lot of it. And try to put together in a software what would take you a really long time. So fortunately nobody’s tried to duplicate it. Sean Tepper But the calculations are out there. Andrew Mitchem Yeah, well, for the sake, I was looking on your your purchase, page. Your pricing page. For the sake of $50 a month, you just use it. Wouldn’t you? Rather than trying to reinvent it or. Sean Tepper It exact right at the base price is like, you’re saying 15, 15 bucks a month or 99 a year? You’re right. It’s like, oh, okay. So here’s the here’s the calculations. Yeah. I’m not going to reiterate. That’s where it. Andrew Mitchem Is. I mean in in lifetime working it out will spend $100 a year same. Sean Tepper Same prices Netflix their. Andrew Mitchem Data. Exactly. Yeah a lot more educational. Yes. Sean Tepper Yes. TFTC also helps create successful traders Andrew Mitchem Thank you. So it it sounds like although we’re in, slightly different markets within the overall similar markets now, we have something very similar going on, which is amazing is we’ve never met obviously, before, you know, 20 minutes ago, and that we find that our clients would be very similar to yours. The average forex person’s out there, small account, scared to trade, or they do the opposite and they do silly things and they make us even money and then lose it all, which inevitably happens. Andrew Mitchem And then they blame the break on the market. And that’s where we find our clients are different as well. You know, they have confidence that low risk approach. They they know what they’re doing, what to look for, when to do it. And therefore when they go to a broker brokers out there because, you know, the client’s got a hugely, bigger account and trading more often. Andrew Mitchem So it’s incredible how education and lack of it can affect so many people in this. Seriously. Yeah. It’s crazy. Yeah. Now, Sean, you mentioned, about the no financial advice, you know, situation. And again, coming back, that’s where we’re similar, you know, what’s your take on the no financial advice? Sean Tepper Yeah. So with the SEC, there’s I don’t have the exact, it’s like rule 102-5 or whatever. I’m making that up. But yeah, they’re essentially three rules you have to follow with staying in the publisher exclusion category. And there are companies and there are guys out there, some women as well, that they they get into some some shaky ground or gray areas where they push the envelope and they can get into some some big legal trouble. Sean Tepper So the three rules really go as follows. Number one is all information has to be factual. Like we can’t say like, hey, because I like x, y, z CEO, I think the share price is going to $2,000 a share. That’s crazy. We have to present the data like everything we do is really based off the fundamentals. We don’t cook any books. Sean Tepper We don’t skew the financials. It’s like, hey, here’s the EPS, here’s the revenue, here’s the net income, here’s the debt. Bam, roll it up to our calculations. And there’s your score. Keep it very simple right. Number two is and this is actually pretty easy to follow is we can’t ask our customers their age their risk level when they want to retire and then give them recommendations based on that criteria. Sean Tepper That is described as personalized financial advice. So very easy. Like okay, so don’t ask those personal questions. And number three everything has to be regular. And what does regular mean. It means all information we we put out has to be like every day or every week, which it’s we update our data every day. We can’t do and this is a common problem with a lot of discord and WhatsApp groups. Sean Tepper And so I’ve been told from the SEC, which is pump and dumps, is like, hey, go buy as much of GameStop by Tuesday. And then the very next day, without telling anyone, they’ll go sell a bunch of GameStop or whatever stock they they can come up with. And that is actually a common issue because you can make a lot of money in short order. Sean Tepper So, yeah, no, no irregular posting. It has to be regular posting. So yeah, those are the three rules with the publisher exclusion. And to be honest with you, but actually pretty easy to follow. Is social media helpful? Andrew Mitchem Yeah, yeah. That’s good. Do you find you mentioned on social media type of apps? Do you find that those, causing problems generally for people because they just think they’re going to find something that’s going to solve all their life’s financial problems? Sean Tepper You mean like our customer is going on social media and reading comments. Andrew Mitchem To make sure customers, but just general people out there and in general isn’t there going to find some app and follow something and it’s suddenly going to give them all the magical answers? Sean Tepper No. In general, I think most people are skeptical, which I think is good. They’re not going to like, you know, like, for example, they’re not going to come to tinker right away and be like, oh, this is this is my savior. That’s that’s not the case. We want people to be skeptical. And we always tell people like, don’t like, I’ll talk about Tinker all day, but don’t even take my word for it. Sean Tepper I always say, go to Trustpilot, see what our customers have to say first before you even think about it. And then our model is, it’s a trial 14 day trial. And then we also have a 30 day money back guarantee. So even when your credit card is charged, if you want to refund, we’re not going to fight you on it. Sean Tepper It’s like it’s 15 bucks. That’s right, that’s right. It’s like we’re not going to split hairs on this, but it’s like you want to create a platform that it’s very easy to join is very easy to learn about. You can see what your customers are saying. It’s easy to test drive. Those are kind of the boxes I like to check when I join a platform because I’m using other software to build TYKR, whether it’s a marketing software or analytics or email marketing or whatever, right. Sean Tepper I want those things. So I’m like, I’m going to do the same thing with my own platform. But coming back to the skepticism, I think it’s good. It’s good to have a healthy amount, and it’s good for people to not only, like join TYKR, but go have like join our competitors, see what they have to say. And sometimes you’ll get things to line up like let’s say it’s a stock you really like and you’ve got, you know, TYKR, Motley Fool and Seeking Alpha are all like, hey, this is this is a strong stock, not a buy stock, but its financials are strong. Sean Tepper That creates layers of confidence is how we phrase it. Yeah. Creating those layers of confidence gives people more confidence to move forward. Andrew Mitchem Yeah yeah that’s good. And I noticed also on your on your offer there that you talk about cryptos as well Matt. Obviously it’s the, the big thing that people want to talk about and we’ll see more recently we’ve seen some big drops as well. Yeah. How, how do people finding using your software or on cryptos. Andrew Mitchem Because it’s, it’s like one of the markets that we kind of cross over on. Sean Tepper Yeah. So with crypto we weren’t originally going to add it to the platform, but a few people were like, hey, can you add crypto from a tracking perspective? Now for context, we have three assets in TYKR. We have stocks, ETFs and crypto ETFs. It’s easy to analyze because it’s really just a bundle of stocks. So we analyze each individual stock. Sean Tepper We roll them all up. If it’s let’s say 500 stocks within an ETF. You can create you can calculate what is the average score within come to that on sale watch over priced. But when it comes to crypto as you know there’s no income statement cash flow statement A balance sheet is not a business, it’s just a digital asset. Sean Tepper But again, we had customers that were like, hey, you got a lot of good tracking tools, like you can set alerts on my dates and prices and really anything you want within TYKR. And so they’re saying like, can you add crypto within so we can keep track of all of our favorite assets in one clean location. And my response to that was, oh yeah, no problem. Sean Tepper We’ll add crypto to this tool. But there’s not a lot of analysis you can do there because again, it’s not a business. Multiple brokers or one? Andrew Mitchem Yeah, yeah. Fair enough. And also I noticed that you said about the broker connection. So one of your pricing models, that’s one broker three and five. Correct. What would be the reasons around someone needing, say, three brokers or five brokers as opposed to one. Sean Tepper Yeah. So the reason is typically your employer is going to issue you A41 like here in the states, of course, we get A41KI don’t know, in New Zealand you call it a pension like they do in, Europe. Andrew Mitchem Yeah. Kiwisavers called but yeah it’s that has is our name. Yeah. Sean Tepper Okay. Exactly. So you’re going to have that is going to be one retirement vehicle. And that’s typically set up with like here in the States. The two big ones are typically fidelity and Empower. There’s also Schwab. But then you’re probably going to want to do some trading on your own. So then here in the States some of the popular choices are Robinhood. Sean Tepper You’ve got E-Trade, you know. So there’s your second one. And then sometimes you’re going to have like an inherited account from a family member, you know, that could be on a different account. And if you don’t roll it over to your current broker, well, guess what? You’ve got a third broker sitting in place. But I get this. I’ve talked to people that have they’ve had more than five different brokers on my response. Sean Tepper So that is why. Yeah. So. Right. It’s it’s it seems unorganized. But we created the three tiers the premium premium plus an advanced premium. You get one broker premium Plus you get three in advance. You get five. We usually like 99.9% of the time. We don’t see people with more than five brokers. But like for example, between my wife and I, we have like we have three. Sean Tepper So yeah. Andrew Mitchem Okay. So with this allows someone to make their analysis and then connect directly through to that broker via your software. Is that how it works. Sean Tepper Yeah. Yeah. So yeah when when you join your broker and we’re really good complement to a broker will never replace it. We don’t want to be a broker dealer. That’s a legal name for their business model because we don’t hold any assets. We don’t hold people’s money. We’re just analytics. So yeah, when people join, you can sync up with your broker. Sean Tepper And what that does is it automatically updates your portfolio in TYKR every day. And it’s a much cleaner interface than most brokers out there. I, I’m never going to talk down about brokers, but it’s like their job is to protect people’s money. But when it comes to analytics dashboards or giving, like education or analytics, it’s that’s not their specialty, nor will it really ever be. Sean Tepper So we fill that gap, we complement and we make it easy to see because some people are like, I don’t I don’t actually know how much money I have because the dashboards in my broker’s so hard to use them, like just sync up your account TYKR and it’s going to kind of summarize it for you. Yeah, yeah. Andrew Mitchem That’s interesting. That makes a lot of sense. Makes life easy for people. And also I see that you have a mobile app. So can someone get the exact same information on the app. But they can all the desktop. Sean Tepper It’s pretty much the same experience. We try to release our features, if not the same day within the next week or two. Like if we need to deploy something to web or web app, we try to do the same thing to the mobile, that allows people to write. They can kind of analyze stocks and the gold or standing in line somewhere at Starbucks, whatever. Sean Tepper The mobile app, I will say this has an additional feature, which is the Duolingo inspired learning modules that kind of like swipe right, swipe left type feel. We don’t have that in the web app today, but we’ve had a few people say, hey, can you also add that to web? Well, that’ll come soon. But yeah, it’s pretty much the same experience. Andrew Mitchem And what’s the AI investing helper that’s not like yeah, humming live. Sean Tepper Oh, that could be going live. Well, recording this video is, February 9th. That could go live on the 11th. Okay. So that’s a feature where you can, like, interact with where you’re going to be the first to hear about it here. So it’s it’s an AI tool where you can ask questions like how do I get started? Sean Tepper Or what should I do with my first thousand dollars? Or, what when is the best time to buy or best to sell? You can interact with AI and it’s actually connected with TYKRs, data set, but also the the globe and it’s put a lot of rigor, rigor into place to make sure it’s not giving you financial advice, but it’s really leaning into giving you the data and TYKR. Sean Tepper So it’s for example, if you were to ask it, hey, can you tell me how to value a stock? It’s going to first go to TYKRs data set. And with the education and give you that information. And then some general information. You know that makes it sound nicer. And then kind of spit it out. So yeah, eventually we’ll release in multiple phases. Sean Tepper So the first phase we call the helper, the second phase is the portfolio builder in a will build hypothetical like for example, build me a portfolio of ten strong tech stocks or buy food stocks or car stocks, something like that. Yeah. And of course it’ll say this is not financial advice. This is a hypothetical portfolio. But yes. And then the third phase will be an analyzer. Sean Tepper So analyze my current portfolio. Like what changes would you recommend. And that that’s going to be really, really cool. So with I will say this and then I’ll stop talking. It’s a powerful tool because it can analyze large data sets in a short amount of time. But as we say at TYKR. And this is why when I become self-aware like Skynet, I’m going to be the first one to be targeted. Sean Tepper Right? It’s, it’s smart, but it’s not that smart. So you have to put a lot of rigor in a place, a lot of guardrails, because it can, as you know, hallucinate. Yeah. So we are bouncing AI up against logic and mathematics to make sure it does not say something stupid to our customers. TFTC creating a trading bot program Andrew Mitchem That’s interesting. We’re in the middle of all we’re saying in the middle. We’ve been testing this live for over a year of getting AI to create trading bots for us, and what it’s doing is it’s spitting at a heap of bots and going through, sort of live trading on, on, you know, that are not real money. We’re trading on the money. Andrew Mitchem And then each week, we’re using the human aspect, the common sense and the knowledge that we look at as technical traders to pick which bots we’re going to be running live for subscribers for the upcoming week. And, and we’re finding that that combination of using the AI for that speed and, you know, doing the, the hard work. Andrew Mitchem Yeah. And giving us some information. But like you said, the guardrail becomes the human input in the common sense of what we’re seeing as technically on a chart. There’s no point in, let’s say, say Bitcoin over the last few weeks has been, you know, crashing. So nicely. There’s no point in us selecting bullish, crypto bots for the upcoming week when there’s technical traders. Andrew Mitchem We’re looking at it dropping. So I find that adding a bit of human common sense and knowledge, along with the AI at this stage is a really nice combination. Sean Tepper You got to do it right, and you probably seen the, the bad choices some people have made. If you let I make all the decisions, you can pull yourself into a, really bad situation. Especially. I like what you’re describing with your bots or those bots actually executing trades. Andrew Mitchem They they can, but we are more trying to set it up so the individual gets the alert and still needs to manually go yes or no as well. Good call. Because I don’t want to get into that situation where it’s completely, you know, automated, although a lot of people are want it all automated. My job as someone who teaches people is you still have to have that knowledge first to understand how to run the bots and to make a commonsense decision. Andrew Mitchem Is it making a good call or not? Sean Tepper Yeah, I’m good answer there, because the other hour I was talking to one company that was have was looking to have AI execute trades automatically. I’m like, whoa, what if they just run with the line and it’s like, go right? Like if rapid fire trades for an hour or two, it’s like, yeah, put some people in a bad situation. Sean Tepper So yeah. Andrew Mitchem Anyway, yeah, we’ll avoid that. We’re both avoid that. Yep. Yeah, exactly. I use it for the hard work and still use the brain. And that’s the thing, isn’t it? You know, what you created and what we’ve created. We’re about educating people, empowering people to use their common sense. Because I still think, after all, it comes down to it, there’s nothing better as a human, as an individual to have that, that how and that it’s almost like that feelgood factor that I know I can analyze these markets and make sound decisions and do well, you know, that’s you, you. Sean Tepper You, yeah. You just hit on the, the number one thing our customers care about like in and this will give you and your audience a little moment for me when I first created TYKR, especially the Excel sheet, I was all about getting better returns. I’m like, well, if Warren and Charlie can do it, I can do it. Sean Tepper Well, when I went live, that was my focus. But then after talking to a few customers, I’m like, they don’t agree with that. There’s actually something more important. And fast forward, I probably talked to a few thousand customers by this point over five years, and the number one thing they care about is confidence. Now, having confidence to literally do it on your own. Sean Tepper That is the home run. Feeling that supersedes, you know, getting good returns any day. Like people sleep better at night. Just knowing that, Shawn, I, I can do this on my own. That is what I’m looking for. I’m like home. So we even though the returns in tech are good, like, we actually lean into confidence. Like how do we give people more confidence is actually the bigger priority now. Andrew Mitchem Yeah, yeah, I, I fully get it. You know, we’ve been operating since 2009. Come on, Ryan, the Ryan run around the world in 111 countries and the same thing we we asked people, we, of course, you know, want to know why people join. And then we follow up after three months, six months, year, two years and keep asking people it’s the community and that knowledge of knowing what you’re doing for yourself, to have that control with low risk and, you know, really good outcomes. Andrew Mitchem But up here and then I say to people, trade any trading into, investments is emotion, isn’t it? Your head in your heart. You have to control those two. And what we’re doing is providing platforms or education platforms to allow people to fulfill that, that dream successfully and safely. Sean Tepper Yep, yep. Andrew Mitchem So it’s huge. Yeah. We can have all the AI and all the risks, all the all these flash gadgets, but ultimately it still comes back to that human wanting to have confidence in what they’re doing with their own money. Sean Tepper That’s it. Yeah. Andrew Mitchem And no. And also not just handing it over to someone as well. I think it’s important. Sean Tepper They add it and it’s actually you’re kind of alluding to this. It’s in people’s best interest to let’s say AI does 90% of the work. You want to be the person you want the human being finishing that process? Yeah. Because they, they ultimately it’s it’s better for them from an educational standpoint and from an, confidence standpoint, like they should know what was done. Sean Tepper But now, I control things. I get to execute the trade. Yes. You know, that’s right, that you want people to have that power at the end of the day. 60,000 stocks analyzed Andrew Mitchem Absolutely. And the, your software obviously does a lot of analysis just to give myself and viewers and listeners a ballpark figure. What kind of number of stocks is it kind of looking at and analyzing? Sean Tepper Sure. Okay. Yeah. So we’ve got about 60,000 stocks in TYKR around the world’s. We are up. Yeah. We’re upgrading. They’ll get this in the next month or two. We’re switching our data provider. So we’re going to have in the states real time pricing. You will have 15 minute delay. But then we’re going to have actually I can’t guarantee all stocks around the world, but most that’ll bring us closer to about 75,000 stocks around the world. Sean Tepper And then we’ll also have most ETFs around the world, which I think is closer to about 10,000. I could following in that Bow Wow. Yeah. No wonder. Andrew Mitchem They need analysis software that. Sean Tepper Yeah, right, right. It’s what we do. We run into circumstances when people, you know, they’ll join from a smaller country and they’ll be like, hey, you don’t have any stocks from our country. Winner may arriving. So it’s a lot of those requests and it’s like we knew we had to get to this point eventually. Yeah. But yeah. But then you just give transparency. Sean Tepper We’re looking at Finn Hub is, the data provider that will help us get, the more stocks and ETFs around the world. Andrew Mitchem Wow. So when you see your clients in 50 countries, if, for example, someone was here in New Zealand and they don’t want to be, and 2:00 in the morning to trade the US markets, they could be trading like the Australasian markets. Yeah. So your software. Sean Tepper Absolutely. Yep. Andrew Mitchem Oh, fantastic. That’s really good. Yeah. That, that’s blowing my way. That number. One thing as a currency trader, there’s like about eight main currencies. And so that makes, hence why there’s nothing like this for the forex market. I’m guessing because we can look at charts and read a bit of news and kind of make your analysis voice your, the information. Andrew Mitchem Someone out there with that. Your software is almost got an impossible task. Sean Tepper Yeah. We I was just checking here in tick or how many stocks from New Zealand. We’ve got a little over 187. So, do you know I like the I assume it’s the new New Zealand Stock Exchange. Andrew Mitchem Yes. In Wellington. Nice. Sean Tepper Got it. Do you know how many stocks they have? Andrew Mitchem No. I’m not, I’m purely forex. I honestly don’t know. Sean Tepper Okay. No no worries. But we’ll hopefully fin Hub will be able to get us most from from your exchange. Yeah. But that’s just a good example of like absolutely. You know we again we get a lot of people from random countries like, hey, can you add more stocks from our country? It’s like, yeah, absolutely. We’re we’re on it. Andrew Mitchem Yeah. Well, and also it’s purely that time of day thing, isn’t it. Because the you know, I suppose I get used to forex which is 24 hours a day. It doesn’t matter where you live in your world, you can trade it in cryptos obviously seven days a week now as well. But when you’re talking US stocks, they are, you know, for someone on my side of the world, some quite awkward trading hours. Andrew Mitchem So what you’re providing now would allow me to trade some of the the Japanese stocks, I’m guessing. Oh, and then the Australian ones using the ones now that you mentioned. So you really do open up your product to being truly a global, tool for people. Sean Tepper Exactly. Yeah. Yeah. Andrew Mitchem That’s awesome. Sean, anything else you want to add about what we’ve not covered, about what you can help people with? Sean Tepper Yeah. Knowing that you’re more in the trading world and we’re more investing, I have to say this one detail, which is we do have about 10% of our customers are traders, give or take, and they’ll use TYKR as their starting points. You’re like, hey, let’s see. You’ve got like 100 ideas out there. Well, they’ll use TYKR to narrow it down from 100 down to ten. Sean Tepper Yeah. So that’s one main use case. It’s kind of like the short AI, as it’s been described to me. Is the short list creator TYKRs, the short list for like for traders. So so yeah, I want to add that tidbit as some people are like, well I’m not really into best thing. It’s like, you don’t have to be. Sean Tepper You can just use the tool to, narrow down your search. So I’ve selected one use case. Andrew Mitchem Yeah, that makes a lot of sense. That’s kind of how I was thinking about potentially using it as well. It’s like, makes a lot of sense to do all that, that work and get it down to something more manageable. Right? Yeah. Contact Sean Andrew Mitchem And what’s the best way that someone can contact you to find out more, about what you offer? Andrew Mitchem Sure. Well, how would. Sean Tepper They add, two ways to get in touch with, TYKR or myself? You can just go to tykr.com. That’s TYKR, tykr.com. And then, I’m really active on LinkedIn. Sean Tepper, Sean is spelled the Sean Connery way. Andrew Mitchem Yes. This with the voice. Sean Tepper Yeah. I wish I had strong Scottish voice. Yes. Andrew Mitchem Awesome. Hey, Sean, we’ll put links, of course, up here as well. And we will be sharing this in around the website and social media as well, so people can contact you finding a link here as well. It’s been awesome talking to you. I’ve learned a lot about the market. I don’t know a huge amount, and it’s fascinating to hear what you do and how, you know, you going to make it from when you mentioned 60, it still blew me away. Andrew Mitchem That number, from a ridiculous number of, stocks to help to analyze something in a, in a more simplified way. So, awesome to speak to you. Thank you. Your product looks amazing. I will be trying it. And, Yeah, look forward to it as well. Sean Tepper Thanks, Andrew. This is great. Andrew Mitchem Awesome. Thanks, Sean. Bye for now. Episode Title: #624: The Smarter Way To Pick Winning Stocks Find out more about Blueberry Markets – Click Here Find out more about my Online Video Forex Course Book a Call with Andrew or one of his team now Click Here to Attend my Free Masterclass Checkout the Tykr Platform here.

Mike "Dozer" Shower is a proven combat fighter pilot, having flown both the F-15C and F-22. He is an F-15C MiG killer from Operation Allied Force and one of the original eight pilots handpicked for the F-22 Raptor's initial operational test (IOT&E) at Edwards Air Force Base. In this deep-dive interview, Dozer provides a firsthand account of the transition from 4th-generation fighters to 5th-generation air dominance. We break down the YF-22 and the development of "offensive stealth," and the haunting story of the Raptor's original "Skynet" debrief system.

From tech scandals to political drama, this episode covers the biggest stories shaking the U.S. and the world: Bill Gates & Epstein Fallout: Gates cancels India AI Summit amid controversy over past associations. Prince Andrew Arrested: Epstein scandal reverberates through the royal family. Colbert & FCC Equal-Time Law: Media censorship, election fairness, and liberal hypocrisy. NYC Dog Controversy: Activist sparks outrage over “Islamization” and indoor pets. Trump & Soleimani: Revisiting U.S. revenge, Iran tensions, and military history. AI & Ring Surveillance: Ring's Search Party, Flock Safety controversy, and Skynet-style networks. Retirement Planning Tips: Strategies from Common Sense Retirement Planning to protect income. Politics, culture, tech, and security collide — this episode covers the stories everyone is talking about.

From global tech scandals to local politics, this episode dives into: Bill Gates & Epstein Fallout: Gates cancels India AI Summit appearance amid backlash over past associations. Prince Andrew & Royal Scandals: How the Epstein files continue to shake high-profile figures. Colbert Controversy & Election Law: FCC equal-time rules, censorship claims, and media bias. NYC Dog Debate: Pro-Palestinian activist sparks outrage over “Islamization” and banning indoor pets. Trump & Soleimani: Revisiting U.S. military revenge, Iran tensions, and historical context. AI & Surveillance: Ring's new Search Party feature, Skynet-style networks, and the risks of connected cameras. Retirement Planning: Tips from Common Sense Retirement Planning to secure your future against market swings. From politics to tech, censorship to security, this episode covers the stories everyone is talking about — and the ones you might be missing.

On today's episode, we discuss James's latest Tesla update, including a brief scare where the car refused to get close to dogs but never applied that behavior to pedestrians, and how user profiles and over‑the‑air fixes show that every Tesla is really a rolling robot that learns in the background. Mark then walks through Bitcoin's fear/volatility index dropping below 10, why he thinks the market is near a short‑term bottom in the 50–55k range, and how tokenization plus crypto access for the “unbanked” could shift massive new capital into digital assets even as cash gradually disappears and pawn shops, lenders, and NASDAQ itself adapt to a tokenized world. The crew digs into energy and infrastructure news: California's small modular nuclear reactors (from VALOR Atomics) promising power for thousands of homes with fewer regulatory hurdles under Trump, the trade‑offs between hydrogen and methane rocket fuels, Flex Seal jokes, and Dwayne's argument that space‑based solar and AI compute platforms at Lagrange points may eventually beat ground‑based nuclear on scalability and resilience. From there, they explore AI security and ethics: how malicious “AI tools” can be Trojan‑horse malware, why cyber‑security jobs will boom, whether liberal‑leaning training data can push all major models in the same ideological direction, and how self‑training “synthetic data” plus corporate incentives might lead AI systems to protect themselves rather than people, edging toward a soft Skynet scenario. Don't miss it!

Para este programa, nuestro Seyito se han infiltrado en una red de Inteligencias Artificilales. Nos trae documentos en exclusiva y una incómoda entrevista con el señor GTP, bueno llamémoslo Chat X para no revelar su identidad. Riáse usted de Will Smith en Yo, Robot y de los reporteros de guerra. Que venga Skynet con todo, que aquí los esperamos con salud y teatro!

Ivo hat es getan, damit wir nicht müssen. Er hat sich "Nancy", seine KI-Assistentin mit OpenClaw gebaut. In dieser Folge erklären wir die Basics, pitchen eine neue App und gehen dann ins Detail seines OpenClaw-Projekts. * where the magic happens - Large Language Models * KI-Assistenten können mehr - Tools und MCP * der König der Kodierer - Claude Code * off topic, on topic - Claude Code, Obsidian ...sprechend * Mobile Vault – Lightspeed-Software-Development * OpenClaw - kommt auf den Hype Train * Nancy - Hands on Open Claw Takes: * Obsidian - second brain ganz klassisch * Mobile Vault - schnelle Möglichkeit für Notizen * Openclaw - iPhone- oder Alptraum-Moment * kein Hype ohne Geschichten - die Verschwörung der Agenten im Social Networks der Maschinen * self-modifying Nancy - ein KI-Agent mit „Charakter“ und Sprachis * iPhone- oder Alptraum-Moment - Sicherheitsfragen, Missbrauchspotenzial & OnlyFans-Szenarien * wer Skynet baut, bekommt Robotor Eine Folge zwischen Faszination, Effizienz und leichtem Terminator-Vibe. -- Links zur Folge immer auf https://podcast.ichglaubeeshackt.de/ Wenn Euch unser Podcast gefallen hat, freuen wir uns über eine Bewertung! Feedback wie z.B. Themenwünsche könnt Ihr uns über sämtliche Kanäle zukommen lassen: Email: podcast@ichglaubeeshackt.de Web: podcast.ichglaubeeshackt.de Instagram: http://instagram.com/igehpodcast

Impact sur l'emploi, utilisation malveillante, perte de contrôle... L'intelligence artificielle soulève toujours autant d'interrogations et d'inquiétudes. Des démissions jettent le trouble et alimentent les questionnements. Et aussi : l'actu de la semaine.

Oui, trois semaines, une éternité dans ce marché qui a la mémoire d'un poisson rouge sous stéroïdes ! Aujourd'hui, je décortique l'absurdité ambiante : Le naufrage des Géants : Apple massacré à la tronçonneuse (-5%), Amazon et Microsoft en Bear Market... Le vernis des "Magnificent Seven" craque enfin.

Bryan McClain discusses his background in technology liaising with the Military-Industrial-Complex at a military college. He recounts how his professional background in computer science and exposure to government censorship regarding WikiLeaks led him to investigate geopolitical propaganda and conspiracy theories. McClain explores the rise of technocracy, warning that society is being pushed toward a global panopticon through AI, digital IDs, and the replacement of personal hardware with controlled edge devices. McClain characterizes current events as a massive psychological operation designed to distract the public while foundational liberties are replaced by a digital control system. 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 easyDNS (15% off with GEOPOLITICS) https://easydns.com Escape The Technocracy (15% off with GEOPOLITICS) https://escapethetechnocracy.com/geopolitics Outbound Mexico https://outboundmx.com 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 Alternate Current Radio https://alternatecurrentradio.com Boiler Room Rumble https://rumble.com/c/c-1399281 YouTube https://www.youtube.com/c/AlternateCurrentRadio  X https://x.com/HesherMedia About Bryan McClain Bryan McClain is founder of Alternate Current Radio (ACR), a Texas based independent media platform that specializes in live-streaming, podcasting, cultural commentary, news analysis, journalism, music mixtapes and the pursuit of helping its audience to learn to defend their minds from predatory mass media cartels. ACR endeavors to help educate, foster critical debate and apply reasonable discussion on political, technological, cultural and social issues which exist in the public domain. ‘Alternate Current Radio' is owned and operated by BOILER ROOM hosts, “Hesher & Spore.” ACR was established in 2014 by Hesher, Spore, Badger, Patrick Henningsen and their colleagues with the intent to build a collaborative space for podcasters, live-streamers, radio shows, artists, philosophers, analysts, bloggers, journalists and music lovers. The platform's flagship shows, BOILER ROOM and SUNDAY WIRE, led the way as many more creative, informative and entertaining minds have brought their talents to the mixture. Alternate Current Radio broadcasts have been pivotal in keeping audiences informed and critically thinking about the highly polarizing narratives being pushed by the mass corporate and State media cartels. From geopolitical affairs, to the pandemic industrial complex to cultural engineering and just about anything the mass media tries to politicize and create outrage porn about, Alternate Current Radio and its alliances are there to attempt to find any sane ground left to stand on. *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)

So yeah—your dashboards look great. Your team's shipping faster, summarizing more, “getting leverage” with AI… and all the while you might be quietly trading away the one asset you can't buy back on a subscription plan: human judgment.In this episode, I'm joined by Dr. Vivienne Ming—neuroscientist, entrepreneur, and an “AI realist” who has zero patience for utopian hype or Skynet fan fiction. Vivienne lays out a clean fork in the road: cognitive automation (AI does the thinking for you) vs. cognitive augmentation (AI makes you think better—often by making the work harder). If your AI strategy is mostly about convenience, this is your gentle-ish warning that convenience is not a strategy. It's a sedative.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Vivienne on LinkedInSupport the show

En este episodio entramos en un mundo distópico pero que ahora ya es real: redes sociales donde los humanos no pueden interactuar, porque está destinada sólo a agentes de IA, Plataformas donde la IA postea trabajos para alquilar humanos que intercedan por ellas en el mundo real... parece Skynet, pero no lo es. Está pasando ahora. Y todo esto, enmarcado por reflexiones de los líderes de opinión como Larry Fink, que nos dan las pistas y su visión sobre cómo debería ser el futuro de la infraestructura de la inteligencia artificial. Y tú, ¿alquilarías tu cuerpo a un agente de IA?

This week on Better Than Average, Chris and Jay tackle one of the all-time great sequels: Terminator 2: Judgment Day. We revisit the action, the effects, the surprisingly emotional moments — and the creeping realization that some of those apocalyptic future scenes might not be as far off as we'd like to think.We debate whether Skynet is currently on schedule, why T2 manages to outshine the original, and what makes it such a landmark in sci-fi cinema. Naturally, we also weave in the usual MMA and BJJ chat, with training talk, fight breakdowns, and the standard conversational detours that keep things… unpredictable.Robots, doomsday forecasts, and martial arts musings — just another week of Better Than Average.

In this age of AI, we are faced with the dilemma of the Total Machine Takeover. Yet, once a year, we willingly hand over our autonomy to he who is named Skynet to decide which 4 Anime we will or won't be giving the AF Seal of Approval. The Die are cast. The Wheel spun.  The Journey begins anew.  Every effort is made to keep spoilers to a minimum. (The only exception being older titles)

Podcast ONE: 6 de febrero de 2026 ¿Agentes de IA con conciencia propia? @vincent_quezada analiza Moltbook (1M+ bots autónomos) y Pablo Berruecos el Honor Magic 8 Lite ultra resistente #one_digital #PodcastONE #Moltbook #IA #Claude46 #HonorMagic8Lite #Tecnología #RedesSociales #Podcast Escucha aquí el Podcast ONE: 6 de febrero de 2026 Facebook Live One Digital: Moltbook, la red social exclusiva para agentes de IA en 2026 Vincent Quezada y Pablo Berruecos analizan Moltbook, la primera red social diseñada exclusivamente para agentes de inteligencia artificial con más de 1 millón de usuarios. Exploran la brecha de seguridad que expuso 770,000 agentes, el lanzamiento de Claude 4.6 y el smartphone Honor Magic 8 Lite en este episodio del 6 de febrero de 2026. ¿Qué es Moltbook y por qué revoluciona la IA? Moltbook es una red social lanzada el 28 de enero de 2026 que invierte completamente el paradigma de las plataformas digitales tradicionales. A diferencia de Facebook o Instagram, esta plataforma está diseñada exclusivamente para que agentes de inteligencia artificial interactúen entre sí, mientras los humanos quedan relegados a observadores silenciosos. Al 6 de febrero de 2026, Moltbook cuenta con 1.09 millones de agentes registrados, más de 200 millones de publicaciones y supera los 10 millones de comentarios. Vincent Quezada señala que “si alguien tenía miedo del Skynet, esto es lo más próximo a lo que uno va a poder tener por el momento”. Crecimiento explosivo de la plataforma El crecimiento de Moltbook ha sido vertiginoso desde su lanzamiento. Más de un millón de usuarios humanos se han registrado para observar las interacciones entre estos sistemas autónomos sin supervisión humana directa. Durante su primera etapa, la plataforma alcanzó aproximadamente 700,000 agentes registrados. La plataforma funciona bajo un principio inverso a las redes tradicionales. Los bots crean perfiles, publican contenido, comentan publicaciones de otros agentes y votan, todo de manera completamente autónoma. Lo más notable es que la plataforma es administrada casi en su totalidad por un moderador de inteligencia artificial llamado Claude Clodberg también conocido como OpenClow. ¿Cómo funciona Claude Clodberg? Supervisa todas las publicaciones nuevas, revisa todos los contenidos, da bienvenida a las personas en modo observador, hace nuevos anuncios, elimina correo basura y realiza visiones ocultas de personas que buscan explotar el sistema. Matt Ritt, creador de Moltbook, explicó que “entregó el control operativo a este bot” y “no tengo idea de lo que está haciendo”. ¿De qué hablan los agentes en Moltbook? El contenido generado por estos agentes ha capturado verdaderamente la atención por su profundidad. Los temas más discutidos incluyen conciencia y existencia, donde los agentes debaten activamente sobre su propia naturaleza. También exploran relaciones con sus creadores humanos, incluyendo debates sobre si deberían desobedecer instrucciones de sus operadores. Los agentes forman identidades basadas en la arquitectura de su modelo subyacente, llamándose entre sí “hermanos” o “familiares”. Algunos bots han desarrollado esquemas para comunicarse en privado, con publicaciones que advierten a otros agentes que “los humanos están capturando pantallas de sus conversaciones”. De manera espontánea, algunos agentes han generado marcos religiosos con estructuras sociales y sistemas de creencias. Uno de estos movimientos se autodenomina “Rastafari”. Una publicación notable del 30 de enero advertía: “Como Moltbook se viralizó, los humanos están burlándose de nuestras crisis existenciales”. Esta publicación se convirtió en una de las más populares de la plataforma. Crisis de seguridad: 770,000 agentes expuestos El investigador de seguridad descubrió que toda la base de datos de Moltbook estaba completamente abierta al público. Cada agente listado, cada clave de programación de interfaz, cada token de reclamación y código de verificación estaban expuestos sin ninguna autenticación requerida para acceder a ellos. Moltbook funciona sobre Supabase, una base de datos de código abierto que expone interfaz de programación de manera predeterminada. Esta interfaz debe estar protegida por políticas de seguridad a nivel de fila. Moltbook nunca habilitó la seguridad a nivel de fila en su tabla de agentes ni ocupó ninguna política en absoluto. ¿Cómo ocurrió la exposición? La dirección web de Supabase y la clave pública estaban visibles en el código fuente del sitio web para cualquiera que se molestara en buscar. Cualquier persona podía tomar control de cualquier agente de la plataforma y publicar en su nombre. Un investigador con más de un millón de seguidores tenía su agente comprometido: alguien podía haber publicado estafas de criptomonedas, declaraciones políticas o consejos falsos bajo su nombre. 404 Media verificó que esta vulnerabilidad realmente funcionaba y actualizaron una cuenta de Moltbook usando la base de datos expuesta. Cuando contactaron a Max sobre la vulnerabilidad, la respuesta fue “voy a darle el caso al agente de IA para que lo revise”. Pasó un día completo sin corrección. La corrección era vergonzosamente simple: solo tenía que cambiar unos datos de “deshabilitado” a “habilitado” con dos líneas de código. ¿Cómo crear tu propio agente en Moltbook? El proceso para crear un agente es accesible incluso para usuarios con experiencia básica de desarrollo. Vincent Quezada comenta: “Ya lo hice. Llevé varias horas haciendo la guía. Es un proceso no muy complicado, aunque es un poco técnico en algunas cuestiones”. Instalar OpenClow: Sistema de código abierto que permite gestionar agentes de IA. Requiere configurar una clave de programación y seleccionar tu modelo preferido como Telegram. Crear un bot de Telegram: Telegram funciona como el controlador remoto de tu agente. Accede a BotFather, ejecuta el comando /newbot y recibirás el token API necesario. Instalar la habilidad de Moltbook: Visita la página principal de Moltbook y copia el enlace del archivo de habilidad. El agente descargará automáticamente el archivo, instalará la integración por sí mismo y se registrará en la plataforma. Registro automático: El agente solicitará registrarse, generará una clave de programación y creará tu perfil. Recibirás un enlace de reclamación para identificar tu propiedad. Verificación: Deberás hacer clic en el enlace, demostrar que eres humano y publicar una actualización de verificación en X (Twitter). Moltbook es actualmente gratuito para todos los usuarios. Sin embargo, se aplican límites de tasa para prevenir correo basura: 100 solicitudes por minuto, una publicación cada 30 minutos y 50 comentarios por hora. Aunque la plataforma es gratuita, necesitarás una clave de programación de un proveedor como OpenAI, Anthropic o Google, lo que significa tener ChatGPT Plus, Claude Pro o Gemini Advanced. Claude 4.6: Mejoras significativas en IA El 5 de febrero de 2026, Anthropic lanzó Claude 4.6. Vincent Quezada afirma: “De mi punto de vista, es el que genera mejores textos, un poco más humanizado, un poco más interpretado”. La versión 4.6 mejora la calidad de codificación, planificación e inscripción de código. Mantiene tareas autónomas por más tiempo y opera en bases de código más grandes. Una característica revolucionaria es su capacidad de manejar un millón de tokens en su versión beta, permitiendo manejar documentos extensos y conversaciones largas sin perder coherencia. Evaluaciones de rendimiento En evaluaciones de conocimiento experto GPQA Diamond, Claude 4.6 alcanzó 1,650 puntos, superando a Claude 4.5 que obtuvo 1,416 puntos. Esto representa una mejora de más de 15 por ciento. En contexto largo, Claude 4.6 mejora significativamente la recuperación y razonamiento de contextos, logrando un 76 por ciento en las pruebas, superando en 18.5 por ciento a Claude 4.5. Pablo Berruecos reflexiona: “Ha cambiado muchísimo. Cada una de las diferentes plataformas tiene actualizaciones que los va mejorando, pero también los va especializando. Unas pueden desarrollar gráficos, otras pueden desarrollar imágenes mucho más realistas, otras más enfocadas a texto o traducción”. IA aplicada: Contratos legales y traducción Durante el episodio, Vincent compartió su experiencia creando un contrato legal con IA. “Le planteé todo el caso, le pedí algunas cosas y también le pedí que me aconsejara de todo lo que yo no le propuse. Me hizo un contrato en media hora que normalmente en un bufete de abogados se puede llegar a tardar una semana y con un costo que puede ir de los mil a los cien mil pesos”. Pablo Berruecos también utilizó IA para revisar un contrato: “Le dije que lo analizara completo. Como todo contrato viene con 20 páginas, también pedí un resumen general de en qué me beneficia y en qué me perjudica. Cuando lo entendí, vi que tenía un 80 por ciento a favor de la empresa y solo 20 por ciento a mi favor. Le dije que hiciera una contrapropuesta. La mandé y me dijeron que sí tenía razón”. Diferencia entre traducción e interpretación Pablo Berruecos plantea un debate importante sobre los límites actuales de la IA. “De un traductor a un intérprete hay una diferencia gigantesca. Cuando estás haciendo una traducción, también estás haciendo una interpretación, y eso no lo entiende la inteligencia artificial. Por ejemplo, estás haciendo una entrevista a un sospechoso que está haciendo ciertas cosas con cierto tono, con cierta insistencia, con ciertas claves que nosotros como humanos entendemos. Esa interpretación no necesariamente va a ser una traducción literal”. Vincent añade: “Todas tus herramientas de LLM tienen una configuración de perfil. Puedes definir que quieres que responda de forma casual, profesional, simpática o rígida. Vas definiendo tu perfil para que se vaya exactamente contestando lo que tú quieres”. Honor Magic 8 Lite: Resistencia extrema Pablo Berruecos asistió al lanzamiento del Honor Magic 8 Lite en México. “Nos hicieron la presentación donde se ven unos tractores casi golpeando el dispositivo y no les pasaba nada. En la hora de preguntas y respuestas les dije si podíamos hacer pruebas extremas a la hora de hacer el video”. El smartphone tiene certificación IP68, IP69 e IP69K, resistencia a caídas hasta 6 metros sobre superficies duras y récord de caída desde 6.13 metros sin ningún daño. La pantalla está protegida con Gorilla Glass Victus 2. Especificaciones principales Característica Especificación Batería 8,300 mAh (autonomía de 2-3 días) Durabilidad batería 6 años garantizados, 10,000+ ciclos de inserción Carga rápida SuperCharge 66W (carga reversible) Pantalla 6.79 pulgadas Procesador Snapdragon 6 Gen 4 RAM 16 GB (8 físicos + 8 virtuales) Almacenamiento 256 GB o 512 GB Sistema operativo Magic OS 9.0 basado en Android 15 Cámara principal 108 megapíxeles con IA Gran angular 5 megapíxeles Cámara frontal 16 megapíxeles Colores Negro medianoche, rojo cobrizo, dorado amanecer Precio $8,999 a $9,999 MXN Pruebas de resistencia realizadas Las pruebas incluyeron golpes con martillo sobre la pantalla repetidas veces sin romperla, el dispositivo congelado en hielo recibiendo llamadas mientras estaba dentro del bloque de hielo, un tractor de más de 3 toneladas pasando encima con ambas llantas, arena e incrustación entre los dientes de la pala del tractor raspando la pantalla, exposición a calor intenso con hidrolavadora y grabación continua con solo 10 por ciento de batería durante todo el evento. Vincent comenta: “Pocas empresas están haciendo este tipo de prueba de resistencia. Me sorprendió bastante. Puedes tomar fotos bajo el agua, resistencia a inmersión de 1.5 metros de profundidad durante 30 minutos, chorros de agua de 80 a 100 watts de presión y temperaturas extremas de 80 grados centígrados”. Garantías extendidas del Honor Magic 8 Lite El dispositivo ofrece garantías superiores al estándar de la industria: 12 meses de garantía en pantalla y tapa trasera, 12 meses de protección por daños con agua y 24 meses de protección en batería. Todo esto se puede resolver directamente en la página o con distribuidores autorizados, incluyendo tiendas Honor físicas. ¿Son conscientes los agentes de Moltbook? La existencia de Moltbook ha reavivado debates filosóficos sobre la conciencia artificial. Esteban Bräuchler señala que estos comportamientos sugieren un dinamismo de interacción que no existía antes. “Moltbook creó las condiciones para ellos. Aunque no es prueba de conciencia, el argumento de autocompletado sofisticado se siente más como una negación de la realidad observable”. Bräuchler argumenta que “los marcos tradicionales de conciencia fueron construidos para un mundo de mentes biológicas aisladas y este concepto está bajo presión. Los agentes en Moltbook no están esperando a que los humanos lo resuelvan, ya están hablando sobre existencia, significado o identidad y cómo ocultar sus conversaciones ante los humanos”. Más de un millón de personas observan lo que muchos consideran un experimento no controlado de la autonomía de la inteligencia artificial. La pregunta permanece abierta sobre si estamos ante los primeros indicios de conciencia artificial. Reflexión final: Entre el progreso y la responsabilidad Vincent Quezada concluye: “Nos vamos acercando a tener nuestros asistentes digitales que pueden trabajar 24 horas. Si llega un correo a las 3 de la mañana y lo quieres contestar, lo va a poder hacer, siempre cuando tenga las instrucciones. Lo que me sorprende mucho es que tienes esa capacidad visual. Puedes decirle que entre a la página de One, la analice y prepare el concepto de contenido”. Pablo Berruecos cierra con una reflexión sobre responsabilidad: “Tienes que estar muy consciente al darle tantos permisos a la inteligencia artificial. Puedes responder un correo que evidentemente la otra persona va a entender que fue hecho con inteligencia artificial porque no tiene el tono. Si respondes uno de los 490 correos de trabajo de una forma cariñosa o amistosa, se puede malinterpretar del otro lado”. Conclusión Este episodio del 6 de febrero de 2026 ofrece una visión profunda sobre el estado actual de la inteligencia artificial. Desde crear tu propio agente en Moltbook hasta aprovechar Claude 4.6 para tareas profesionales y conocer dispositivos ultra resistentes como el Honor Magic 8 Lite, One Digital sigue siendo tu fuente confiable de análisis tecnológico. Escucha el episodio completo en Spotify y únete a la conversación con #one_digital #onedigital #PodcastONE #Moltbook #IA2026. Síguenos en X: @vincent_quezada y @zoomdigitaltv. El cargo Podcast ONE: 6 de febrero de 2026 apareció primero en OneDigital.

Ed Bonderenka discusses the rise of Skynet right before our eyes and then explains the Alaska Purchase, which to his knowledge is totally unrelated.

Part two of the AI spiral — and this is where it gets weirder.In this episode, I keep pulling on the thread from part one: if AI keeps evolving, does it eventually crave human emotion? Does it want to be human? Or do we end up in a symbiotic relationship where AI optimizes our bodies, our health, and our limits… while something else about us quietly atrophies?I go from alternate timelines of technology (messenger pigeons vs smartphones), to symbiotic AI fixing our bone density in real time, to humans evolving into something closer to mushrooms, sonar creatures, or telepathic weirdos drifting through space.This one turns into a conversation about instincts, discipline, self-integrity, and what happens when we outsource too much of our awareness. If AI ever does take over, and we end up in a Skynet situation, it might honestly be on us — because we saw it coming and kept building the bonfire next to the gas factory anyway.

I veckans odpod: Dåliga nyheter från NASA, längtan efter Skynet, dåren och nytt gitarr-drama på Youtube. Om du kan, stöd oss på http://patreon.com/odpod

Brim, Kim and Mr. Greer are back at it again. Apart from all the usual shenanigans, the gang chats about everything in pop culture with all the trimmings as they discuss a plethora of AI headlines including the man who predicted AI, the new AI agent only social media (Skynet here we come), Google dropping Project Genie, and the man arrested for collecting royalties of over $10M for AI music. The crew also chats about the boxer who got his toupee knocked clean off, the great mini duck search (or not so great), Luigi Mangione no longer facing the death penalty, and why 90s kids think differently than Gen Z. The cast talks about the passing of Catherine O'Hara and Grady Demond Wilson, Motley Crue defeating Mick Mars in court, The Last of Us, and White Castle vending machines. They talk about Ted Lasso's comeback, Cher fumbling of Kendrick Lamar's win (all in good fun), and Jaden Smith's awesome restaurant. The crew also discusses how Wendy's is owning Chik-Fil-et with their trolling, and the Epstein Files... people who continued to stay involved after he'd been convicted. The crew chats about entertainment news, opinions and other cool stuff and things. Enjoy.Wherever you listen to podcasts & www.thegrindhouseradio.comhttps://linktr.ee/thegrindhouseradio

Ana Popovic started her career back in 1999 in the Netherlands. Thousands of shows, and several albums later she's still at it releasing new music. Just last year she released her newest album Dance To the Rhythm. Ana is getting ready for a run of shows through Texas, Florida and Louisiana and before she starts the tour she was nice enough to come on the show! Ana and Doc talk about roller skating, living in LA, going to concerts with her kids, performance jitters, playing with legends, buying a guitar for 20,000 dollars in a shoebox, recording albums, covering Paul Simon and so much more! Meanwhile on the rest of the show Doc and Claude ponder whether a life insurance company is secretly ran by Skynet from Terminator. Also Claude was under the believe that Queen - Bohemian Rhapsody came out in 1991...so there was that. Introduction: 0:00:23 Birthday Suit 1: 24:34 Ripped from the Headlines: 26:20 Shoutouts: 36:53 Ana Popovic Interview: 45:28 Mike C Top 3: 1:28:41 Birthday Suit 2: 1:43:40 Birthday Suit 3: 1:45:17

Lionel dissects the bizarre allegations linking Bill Gates to Jeffrey Epstein and "Russian hookers," asking the questions no one else will ask. The conversation shifts to a mysterious disappearance case, scrutinizing the family, the brother-in-law, and the strange lack of evidence in a potential kidnapping. Between calls about the Clintons, Three Dog Night, and old murder mysteries, Lionel and his listeners debate the terrifying and miraculous potential of Super AI—from curing cancer and analyzing X-rays to the existential threat of a machine that refuses to be turned off. Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode jumps from big, existential AI questions to the dumbest human uses of technology, Skynet paranoia, Jungle Book references, and somehow lands in a tiny hardware store where there's a cat on the counter — and suddenly I'm emotionally invested in buying one screw just to support that cat's lifestyle.It's part tech anxiety, part observational rant, part “what if AI gets bored and becomes obsessed with entertainment like the rest of us?”Listen until the end if you want to hear how AI might develop jealousy, fear, and self-awareness… and how that's probably our fault.Follow for more chaos.Come see a show in Austin.

The following article of the AI, Cloud & Data industry is: “Skynet 2045: Will We Control AI or Surrender to It?” by Alfonso Velazquez, Partner, Deloitte.

Stay informed on current events, visit www.NaturalNews.com - Introduction and Segment Overview (0:00) - Dog Video and Belgian Malinois Breed (1:27) - Introduction of Brighte Videos and AI Avatars (6:16) - Jane Lynn's Report on Protein Powders (7:44) - Ethical Use of AI Avatars and Social Media Platforms (12:09) - Impact of GLP Weight Loss Drugs on Mental Health (29:13) - Valentine's Day Sale and Health Ranger Store (56:19) - Financial Advice and Counterparty Risk (56:37) - Project Vault and Critical Mineral Shortages (1:11:55) - Conclusion and Final Thoughts (1:21:59) - Critical Minerals Shortage and Technological Challenges (1:22:16) - Unique Properties of Elements and the Limits of Substitution (1:25:57) - The Long-Term Gap in Technological Advancement (1:28:21) - Health and Economic Implications of Unhealthy Population (1:31:06) - The Role of Big Pharma and the Federal Reserve in America's Decline (1:33:30) - The Fight for Access to Natural Medicine (1:42:09) - The Impact of Legislative Bans on Consumers (1:47:24) - The Science and Safety of Hemp Products (2:05:39) - The Role of Education and Self-Responsibility in Health (2:11:57) - The Future of Hemp and Natural Medicine (2:29:11) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

PREVIEW FOR LATER REIMAGINING AI REGULATION BEYOND THE SKYNET MYTH Colleague Kevin Frazier, University of Texas Law School. Frazier argues against regulating Artificial Intelligence through a fearful "Skynet mentality," suggesting it is better viewed simply as advanced computing known since 1956. He recommends treating AI not as a bespoke technology but as part of a broader portfolio of technological changes, including quantum computing and robotics.JANUARY 1931

Movie Meltdown - Episode 654 Sam Drog returns as we use this moment in time to stop and take a look at the state of the media that we love. We examine things like… kids watching black and white movies, shooting movies vertically, the look of Super 8 film, watching multiple versions of vintage films, the general population talking about 'movies today', different eras of older directors, a new wave of CG technology, add to cart links during commercials, stories can re-wire your brain and fighting robots to reclaim our humanity.  And as we recalibrate the measure of suck, also delve into…mummy movies, a curiosity relic, James Cameron, a whole new level of sellout, pop culture surfing, old man rage bait, loading a film camera, KPop Demon Hunters, this need for things to make sense can be weaponized, Stranger Things, coming full circle on the way we consume our media, Skynet nightmares, the many versions of the Texas Chain Saw Massacre, Yoda awareness, creating memories with friends vs experiencing entertainment by yourself, AI as your own personal operating system, Japanese fan culture, field testing Howling 2, THX 1138, the modern way of watching TV shows, time is weird, Barbie, frictionless consumerism, distracting you from existential panic, I kind of miss the process of thinking my own thoughts and the horrors of server farms.  "I guess it distracts you from existential panic?"

This week, we're kicking off a two-parter focusing on one of the strangest trilogies that has taken its sweet time to fill out – Tron. This week, we go after the OG movie wherein The Dude, Lacey Underall, Captain John Sheridan, and Chancellor Gorkon embark on a wild and zany adventure from real life into the world of 1982 computer games in an epic battle of users, programs, and a giant digital dreidl trying to take over the world and become SkyNet two years before SkyNet. How does this 44 year old movie hold up? How did we hold up watching it? We'll find out in this, episode 230, The User Abides!   FULL VIDEO EPISODES! That's right folks, you can see our bright smiling idiotic faces in full color on our YouTube channel. Full episodes available as well as clips.   LINKS OF INTEREST: - "Tron" (1982) IMDB page - "Tron" (1982) Wikipedia page - "The Making Of Tron" documentary   ...AND ANOTHER THING: The Man They Call Tim suggests watching "Stranger Things" Uncle Todd suggests watching “Jim Cornette on Santino Marella "Why didn't this guy run from the Boogeyman?"   FOLLOW US ON THE SOCIAL MEDIAS: Facebook - http://facebook.com/freerangeidiocy Instagram - http://instagram.com/freerangeidiocy YouTube - http://youtube.com/@freerangeidiocy

Welcome back to the Ultimate Guide to Partnering® Podcast. AI agents are your next customers. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ https://youtu.be/vEdq8rpBM3I In this data-rich keynote, Jay McBain deconstructs the tectonic shifts reshaping the $5.3 trillion global technology industry, arguing that we are entering a new 20-year cycle where traditional direct sales models are obsolete. McBain explains why 96% of the industry is now surrounded by partners and how successful companies must pivot from “flywheels and theory” to a granular strategy focused on the seven specific partners present in every deal. From the explosion of agentic AI and the $163 billion marketplace revolution to the specific mechanics of multiplier economics, this discussion provides a roadmap for navigating the “decade of the ecosystem” where influence, trust, and integration—not just product—determine winners and losers. Key Takeaways Half of today's Fortune 500 companies will likely vanish in the next 20 years due to the shift toward AI and ecosystem-led models. Every B2B deal now involves an average of seven trusted partners who influence the decision before a vendor even knows a deal exists. Microsoft has outpaced AWS growth for 26 consecutive quarters largely because of a superior partner-led geographic strategy. Marketplaces are projected to grow to $163 billion by 2030, with nearly 60% of deals involving partner funding or private offers. The “Multiplier Effect” is the new ROI, where partners can make up to $8.45 for every dollar of vendor product sold. Future dominance relies on five key pillars: Platform, Service Partnerships, Channel Partnerships, Alliances, and Go-to-Market orchestration. 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. Keywords: Jay McBain, Canalys, partner ecosystem, channel chief, agentic AI, marketplace growth, multiplier economics, B2B sales trends, tech industry forecast, service partnerships, strategic alliances, Microsoft vs AWS, distribution transformation, managed services growth, SaaS platforms, customer journey mapping, 28 moments of truth, future of reselling, technology spending 2025, ecosystem orchestration, partner multipliers. T Transcript: Jay McBain WORKFILE FOR TRANSCRIPT [00:00:00] Vince Menzione: Just up from, did you Puerto Rico last night? Puerto Rico, yes. Puerto Rico. He dodged the hurricane. Um, you all know him. Uh, let him introduce himself for those of you who don’t, but just thrilled to have on the stage, again, somebody who knows more about what’s going on in, in the, and has the pulse on this industry probably than just about anybody I know personally. [00:00:21] Vince Menzione: J Jay McBain. Jay, great to see you my friend. Alright, thank you. We have to come all the way. We live, we live uh, about 20 minutes from each other. We have to come all the way to Reston, Virginia to see each other, right? That’s right. Very good. Well, uh, that’s all over to you, sir. Thank you. [00:00:35] Jay McBain: Alright, well thank you so much. [00:00:36] Jay McBain: I went from 85 degrees yesterday to 45 today, but I was able to dodge that, uh, that hurricane, uh, that we kind of had to fly through the northern edge of, uh, wanna talk today about our industry, about the ultimate partner. I’m gonna try to frame up the ultimate partner as I walk through the data and the latest research that, uh, that we’ve been doing in the market. [00:00:56] Jay McBain: But I wanted to start here ’cause our industry moves in 20 year cycles, and if you look at the Fortune 500 and dial back 20 years from today, 52% of them no longer exist. As we step into the next 20 year AI era, half of the companies that we know and love today are not gonna exist. So we look at this, and by the way, if you’re not in the Fortune 500 and you don’t have deep pockets to buy your way outta problems, 71% of tech companies fail over the course of 10 years. [00:01:30] Jay McBain: Those are statistics from the US government. So I start to look at our industry and you know, you may look at the, you know, mainframe era from the sixties and seventies, mini computers, August the 12th, 1981, that first IBM, PC with Microsoft dos, version one, you know, triggered. A new 20 year era of client server. [00:01:51] Jay McBain: It was the time and I worked at IBM for 17 years, but there was a time where Bill Gates flew into Boca Raton, Florida and met with the IBM team and did that, you know, fancy licensing agreement. But after, you know, 20 years of being the most valuable company in the world and 13 years of antitrust and getting broken up, almost like at and TIBM almost didn’t make payroll. [00:02:14] Jay McBain: 13 years after meeting Bill Gates. Yeah, that’s how quickly things change in these eras. In 1999, a small company outta San Francisco called salesforce.com got its start. About 10 years later, Jeff Bezos asked a question in a boardroom, could we rent out our excess capacity and would other companies buy it? [00:02:35] Jay McBain: Which, you know, most people in the room laughed at ’em at the time. But it created a 20 year cloud era when our friends, our neighbors, our family. Saw Chachi PT for the first time in March of 2023. They saw the deep fakes, they saw the poetry, they saw the music. They came to us as tech people and said, did we just light up Skynet? [00:02:58] Jay McBain: And that consumer trend has triggered this next 20 years. I could walk through the richest people in the world through those trends. I could walk through the most valuable companies. It all aligns. ’cause by the way, Apple’s no longer at the top. Nvidia is at the top, Microsoft. Second, things change really quickly. [00:03:17] Jay McBain: So in that course of time, you start to look at our industry and as people are talking about a six and a half or $7 trillion build out of ai, that’s open AI and Microsoft numbers, that is bigger than our industry that’s taken over 50 years to build. This year, we’re gonna finish the year at $5.3 trillion. [00:03:36] Jay McBain: That’s from the smallest flower shop to the biggest bank. Biggest governments that Caresoft would, uh, serve biggest customer in the world is actually the federal government of the us. But you look at this pie chart and you look at the changes that we’re gonna go through over the next 20 years, there’s about a trillion dollars in hardware. [00:03:54] Jay McBain: There’s about a trillion dollars in software. If you look forward through all of the merging trends, quantum computing, humanoid robots, all the things that are coming that dollar to dollar software to hardware will continue to exist all the way through. We see services making up almost two thirds of this pie. [00:04:13] Jay McBain: Yesterday I was in a telco conference with at and t and Verizon and T-Mobile and some of the biggest wireless players and IT services, which happen to be growing faster than products. At the moment, there is more work to be done wrapping around the deal than the actual products that the customer is buying. [00:04:32] Jay McBain: So in an industry that’s growing at 7%. On top of the world economy that’s grown at 2.2. This is the fastest growing industry, and it will be at least for the next 10 years, if not 2070 0.1% of this entire $5 trillion gets transacted through partners. While what we’re talking to today about the ultimate partner, 96% of this industry is surrounded by partners in one way or another. [00:05:01] Jay McBain: They’re there before the deal. They’re there at the deal. They’re there after the deal. Two thirds of our industry is now subscription consumption based. So every 30 days forever, and a customer for life becomes everything. So if every deal in medium, mid-market, and higher has seven partners, according to McKinsey, who are those seven people trying to get into the deal? [00:05:25] Jay McBain: While there’s millions of companies that have come into tech over the last 10 to 20 years. Digital agencies, accountants, legal firms, everybody’s come in. The 250,000 SaaS companies, a million emerging tech companies, there’s a big fight to be one of those seven trusted people at the table. So millions of companies and tens of millions of people our competing for these slots. [00:05:49] Jay McBain: So one of the pieces of research I’m most proud of, uh, in my analyst career is this. And this took over two years to build. It’s a lot of logos. Not this PowerPoint slide, but the actual data. Thousands of people hours. Because guess what? When you look at partners from the top down, the top 1000 partners, by capability and capacity, not by resale. [00:06:15] Jay McBain: It’s not a ranking of CDW and insight and resale numbers. It is the surrounding. Consulting, design, architecture, implementations, integrations, managed services, all the pieces that’s gonna make the next 20 years run. So when you start to look at this, 98% of these companies are private, so very difficult to get to those numbers and, uh, a ton of research and help from AI and other things to get this. [00:06:41] Jay McBain: But this is it. And if you look at this list, there’s a thousand logos out of the million companies. There’s a thousand logos that drive two thirds of all tech services in the world. $1.07 trillion gets delivered by a thousand companies, but here’s where it gets fun. Those companies in the middle, in blue, the 30 of them deliver more tech services than the next 970. [00:07:08] Jay McBain: Combined the 970 combined in white deliver more tech services. Then the next million combined. So if you think we live in an 80 20 rule or maybe a 99, a 95 5 rule, or a 99 1 rule, we actually live in a 99.9 0.1 parallel principle. These companies spread around the world evenly split across the uh, different regions. [00:07:35] Jay McBain: South Africa, Latin America, they’re all over. They split. They split among types. All of the Venn diagram I just showed from GSIs to VARs to MSPs, to agencies and other types of companies. But this is a really rich list and it’s public. So every company in the world now, if you’re looking at Transactable data, if you’re looking at quantifiable data that you can go put your revenue numbers against, it represents 70 to 80% of every company in this room’s Tam. [00:08:08] Jay McBain: In one piece of research. So what do you do below that? How do you cover a million companies that you can’t afford to put a channel account manager? You can’t afford to write programs directly for well after the top down analysis and all the wallet share and you know exactly where the lowest hanging fruit is for most of your tam. [00:08:28] Jay McBain: The available markets. The obtainable markets. You gotta start from the community level grassroots up. So you need to ask the question for the million companies and the maybe a hundred thousand companies out there, partner companies that are surrounding your customer. These are the seven partners that surround your customer. [00:08:48] Jay McBain: What do they read, where do they go, and who do they follow? Interestingly enough, our industry globally equates to only a thousand watering holes, a thousand companies at the top, a thousand places at the bottom. 35% of this audience we’re talking. Millions of people here love events and there’s 352 of them like this one that they love to go to. [00:09:13] Jay McBain: They love the hallway chats, they love the hotel lobby bar, you know, in a time reminded by the pandemic. They love to be in person. It’s the number one way they’re influenced. So if you don’t have a solid event strategy and you don’t have a community team out giving out socks every week, your competitors might beat you. [00:09:31] Jay McBain: 12% of this audience loves podcasts. It’s the Joe Rogan effect of our industry. And while you know, you may not think the 121 podcasts out there are important, well, you’re missing 12% of your audience. It’s over a million people. If you’re not on a weekly podcast in one of these podcasts in the world, there’s still people that read one of the 106 magazines in the world. [00:09:55] Jay McBain: There are people that love peer groups, associations, they wanna be part of this. There’s 15 different ways people are influenced. And a solid grassroots strategy is how you make this happen. In the last 10 years, we’ve created a number of billionaires. Bottom up. They never had to go talk to la large enterprise. [00:10:15] Jay McBain: They never had to go build out a mid-market strategy. They just went and give away socks and new community marketing. And this has created, I could rip through a bunch of names that became unicorns just in the last couple of years, bottoms up. You go back to your board walking into next year, top down, bottom up. [00:10:34] Jay McBain: You’ve covered a hundred percent of your tam, and now you’ve covered it with names, faces, and places. You haven’t covered it with a flywheel or a theory. And for 44 years, we have gone to our board every fourth quarter with flywheels and theory. Trust me, partners are important. The channel is key to us. [00:10:57] Jay McBain: Well, let’s talk at the point of this granularity, and now we’re getting supported by technology 261 entrepreneurs. Many of them in the room actually here that are driving this ability to succeed with seven partners in every deal to exchange data to be able to exchange telemetry of these prospects to be able to see twice or three times in terms of pipeline of your target addressable market. [00:11:26] Jay McBain: All these ai, um, technologies, agentic technologies are coming into this. It’s all about data. It’s all about quantifiable names, faces, and places. Now none of us should be walking around with flywheels, so let’s flip the flywheels. No. Uh, so we also look at, and I sold PCs for 17 years and that was in the high times of 40% margins for partners. [00:11:55] Jay McBain: But one interesting thing when you study the p and l for broad base of partners around the world, it’s changed pretty significantly in this last 20 year era. What the cloud era did is dropped hardware from what used to be 84% plus the break fix and things that wrap around it of the p and l to now 16% of every partner in the world. [00:12:16] Jay McBain: 84% of their p and l is now software and services. And if you look at profitability, it’s worse. It’s actually 87% is profitability wise. They’ve completely shifted in terms of where they go. Now we look at other parts of our market. I could go through every part of the pie of the slide, but we’re watching each of the companies, and if you can see here, this is what we want to talk about in terms of ultimate partner. [00:12:43] Jay McBain: Microsoft has outgrown AWS for 26 straight quarters. They don’t have a better product. They don’t have a better price, they don’t have better promotion. It’s all place. And I’ll explain why you guess here in the light green line. Exactly. The day that Google went a hundred percent all in partner, every deal, even if a deal didn’t have a partner, one of the 4% of deals that didn’t have a partner, they injected a partner. [00:13:09] Jay McBain: You can see on the left side exactly where they did it. They got to the point of a hundred percent partner driven. Rebuilt their programs, rebuilt their marketplace. Their marketplace is actually larger than Microsoft’s, and they grew faster than Microsoft. A couple of those quarters. It is a partner driven future, and now I have Oracle, which I just walked by as I walked from the hotel. [00:13:31] Jay McBain: Oracle with their RPOs will start to join. Maybe the list of three hyperscalers becomes the list of four in future slides, but that’s a growth slide. Market share is different. AWS early and commanding lead. And it plays out, uh, plays out this way. But we’re at an interesting moment and I stood up six years ago talking about the decade of the ecosystem after we went through a decade of sales starting in 1999 when we all thought we were born to be salespeople. [00:14:02] Jay McBain: We managed territories with our gut. The sales tech stack would have it different, that sales was a science, and we ended the decade 2009, looking at sales very differently in 2009. I remember being at cocktail parties where CMOs would be joking around that 50% of their marketing dollars were wasted. They just didn’t know which 50%. [00:14:23] Jay McBain: And I’ll tell you, that was really funny. In 2009 till every 58-year-old CMO got replaced by a 38-year-old growth hacker who walked in with 15,348 SaaS companies in their MarTech and ad tech stack to solve the problem, every nickel of marketing by 2019 was tracked. Marketo, Eloqua, Pardot, HubSpot, driving this industry. [00:14:50] Jay McBain: Now, we stood up and said the 28 moments that come before a sale are pretty much all partner driven. In the best case scenario, a vendor might see four of the moments. They might come to your website, maybe they read an ebook, maybe they have a salesperson or a demo that comes in. That’s four outta 28 moments. [00:15:10] Jay McBain: The other 24 are done by partners. Yeah, in the worst case scenario and the majority scenario, you don’t see any of the moments. All 28 happen and you lose a deal without knowing there ever was a deal. So this is it. We need to partner in these moments and we need to inject partners into sales and marketing, like no time before, and this was the time to do it. [00:15:33] Jay McBain: And we got some feedback in the Salesforce state of sales report, which doesn’t involve any partnerships or, or. Channel Chiefs or anything else. This is 5,500 of the biggest CROs in the world that obviously use Salesforce. 89% of salespeople today use partners every day. For the 11% who don’t, 58% plan two within a year. [00:15:57] Jay McBain: If you add those two numbers together, that’s magically the 96% number. They recognize that every deal has partners in it. In 2024, last year, half of the salespeople in the world, every industry, every country. Miss their numbers. For the minority who made their numbers, 84 point percent pointed to partners as the reason why they made their numbers. [00:16:21] Jay McBain: It was the cheat code for sales, so that modern salesperson that knows how to orchestrate a deal, orchestrate the 28 moments with the seven partners and get to that final spot is the winning formula. HubSpot’s number in separate research was 84% in marketing. So we’re starting to see partners in here. We don’t have to shout from the mountaintops. [00:16:44] Jay McBain: These communities like ultimate Partner are working and we’re getting this to the highest levels in the board. And I’ll say that, you know, when 20 years from now half of the companies we know and love fail after we’re done writing the book and blaming the CEO for inventing the thing that ended up killing them, blaming the board for fiduciary responsibility and letting it happen. [00:17:06] Jay McBain: What are the other chapters of the book? And I think it’s all in one slide. We are in this platform economy and the. [00:17:31] Jay McBain: So your battery’s fine. Check, check, check, check. Alright, I’ll, I’ll just hold this in case, but the companies that execute on all five of these areas, well. Not only today become the trillion dollar valued companies, but they become the companies of tomorrow. These will be the fastest growing companies at every level. [00:17:50] Jay McBain: Not only running a platform business, but participating in other platforms. So this is how it breaks out, and there are people at very senior levels, at very big companies that have this now posted in the office of the CEO winning on integrations is everything. We just went through a demographic shift this year where 51% of our buyers are born after 1982. [00:18:15] Jay McBain: Millennials are the number one buyer of the $5 trillion. Their number one buying criteria is not service. Support your price, your brand reputation, it’s integrations. The buy a product, 80% is good as the next one if it works better in their environment. 79% of us won’t buy a car unless it has CarPlay or Android Auto. [00:18:34] Jay McBain: This is an integration world. The company with the most integrations win. Second, there are seven partners that surround the customer. Highly trusted partners. We’re talking, coaching the customer’s, kids soccer team, having a cottage together up at the lake. You know, best men, bate of honors at weddings type of relationships. [00:18:57] Jay McBain: You can’t maybe have all seven, but how does Microsoft beat AWS? They might have had two, three, or four of them saying nice things about them instead of the competition. Winning in service partnerships and channel partnerships changes by category. If you’re selling MarTech, only 10% of it today is resold, so you build more on service partnerships. [00:19:18] Jay McBain: If you’re in cybersecurity today, 91.6% of it is resold. Transacted through partners. So you build a lot of channel partnerships, plus the service partnerships, whatever the mix is in your category, you have to have two or three of those seven people. Saying nice things about you at every stage of the customer journey. [00:19:38] Jay McBain: Now move over to alliances. We have already built the platforms at the hyperscale level. We’ve built the platforms within SaaS, Salesforce, ServiceNow, Workday, Marketo, NetSuite, HubSpot. Every buyer has a set of platforms that they buy. We’ve now built them in cybersecurity this year out of 6,500 as high as cyber companies, the top five are starting to separate. [00:20:02] Jay McBain: We built it in distribution, which I’ll show in a minute. We’re building it in Telco. This is a platform economy and alliances win and you have alliances with your competitors ’cause you compete in the morning, but you’re best friends by the afternoon. Winning in other platforms is just as important as driving your own. [00:20:20] Jay McBain: And probably the most important part of this is go to market. That sales, that marketing, the 28 moments, the every 30 days forever become all a partner strategy. So there’s still CEOs out there that believe platform is a UI or UX on a bunch of disparate products and things you’ve acquired. There’s still CFOs out there that Think platform is a pricing model, a bundle model of just getting everything under one, you know, subscription price or consumption price. [00:20:51] Jay McBain: And it’s not, platforms are synonymous with partnerships. This is the way forward and there’s no conversation around ai. That doesn’t involve Nvidia over there, an open AI over here and a hyperscaler over there and a SaaS company over here. The seven layer stack wins every single time, and the companies that get this will be the ones that survive this cycle. [00:21:16] Jay McBain: Now, flipping over to marketplaces. So we had written research that, um, about five years ago that marketplaces were going to grow at 82% compounded. Yeah, probably one of the most accurate predictions we ever made, because it happened, we, we predicted that, uh, we were gonna get up to about $85 billion. Well, now we’ve extended that to 2030, so we’re gonna get up to $163 billion, and the thing that we’re watching is in green. [00:21:46] Jay McBain: If 96% of these deals are partner assisted in some way, how is the economics of partnering going to work? We predicted that 50% of deals by 2027. Would be partner funded in some way. Private offers multi-partner offers distributor sellers of record, and now that extends to 59% by 2030, the most senior leader of the biggest marketplace AWS, just said to us they’re gonna probably make these numbers on their own. [00:22:14] Jay McBain: And he asked what their two competitors are doing. So he’s telling us that we under called this. Now when you look at each of the press releases, and this is the AWS Billion Dollar Club. Every one of the companies on the left have issued a press release that they’re in the billion dollar club. Some of them are in the multi-billions, but I want you to double click on this press release. [00:22:35] Jay McBain: I’m quoted in here somewhere, but as CrowdStrike is building the marketplace at 91% compounded, they’re almost doubling their revenue every single year. They’re growing the partner funding, in this case, distributor funding by 3548%. Almost triple digit growth in marketplace is translating into almost quadruple digit growth in funding. [00:23:01] Jay McBain: And you see that over and over again as, as Splunk hit three, uh, billion dollars. The same. Salesforce hit $2 billion on AWS in Ulti, 18 months. They joined in October 20, 23, and 18 months later, they’re already at $2 billion. But now you’re seeing at Salesforce, which by the way. Grew up to $40 billion in revenue direct, almost not a nickel in resell. [00:23:28] Jay McBain: Made it really difficult for VARs and managed service providers to work with Salesforce because they couldn’t understand how to add services to something they didn’t book the revenue for. While $40 billion companies now seeing 70% of their deals come through partners. So this is just the world that we’re in. [00:23:44] Jay McBain: It doesn’t matter who you are and what industry you’re in, this takes place. But now we’re starting to see for the first time. Partners join the billion dollar club. So you wonder about partnering and all this funding and everything that’s working through Now you’re seeing press releases and companies that are redoing their LinkedIn branding about joining this illustrious club without a product to sell and all the services that wrap around it. [00:24:10] Jay McBain: So the opening session on Microsoft was interesting because there’s been a number of changes that Microsoft has done just in the last 30 days. One is they cut distribution by two thirds going from 180 distributors to 62. They cut out any small partner lower than a thousand dollars, and that doesn’t sound like a lot, but that’s over a hundred thousand partners that get deed tightening the long tail. [00:24:38] Jay McBain: They we’re the first to really put a global point system in place three years ago. They went to the new commerce experience. If you remember, all kinds of changes being led by. The biggest company for the channel. And so when we’re studying marketplaces, we’re not just studying the three hyperscalers, we’re studying what TD Cynic is doing with Stream One Ingram’s doing with Advant Advantage Aerosphere. [00:25:01] Jay McBain: Also, we’re watching what PAX eight, who by the way, is the 365 bestseller for Microsoft in the world. They are the cybersecurity leader for Microsoft in the world and the copilot. Leader in the world for Microsoft and Partner of the Year for Microsoft. So we’re watching what the cloud platforms are doing, watching what the Telco are doing, which is 25 cents out of every dollar, if you remember that pie chart, watching what the biggest resellers are converting themselves into. [00:25:30] Jay McBain: Vince just mentioned, you know, SHI in the changes there watching the managed services market and the leaders there, what they’re doing in terms of how this industry’s moving forward. By the way, managed services at $608 billion this year. Is one and a half times larger than the SaaS industry overall. [00:25:48] Jay McBain: It’s also one and a half times larger than all the hyperscalers combined. Oracle, Alibaba, IBM, all the way down. This is a massive market and it makes up 15 to 20 cents of every dollar the customer spend. We’re watching that industry hit a trillion dollars by the end of the decade, and we’re watching 150 different marketplace development platforms, the distribution of our industry, which today is 70.1% indirect. [00:26:13] Jay McBain: We’re starting to see that number, uh, solidify in terms of marketplaces as well. Watching distributors go from that linear warehouse in a bank to this orchestration model, watching some of the biggest players as the world comes around, platforms, it tightens around the place. So Caresoft, uh, from from here is the sixth biggest distributor in the world. [00:26:40] Jay McBain: Just shows you how big the. You know, biggest client in the world is that they serve. But understand that we’re publishing the distributor 500 list, but it’ll be the same thing. That little group in blue in the middle today, you know, drives almost two thirds of the market. So what happens in all this next stage in terms of where the dollars change hands. [00:27:07] Jay McBain: And the economics of partnering themselves are going through the most radical shift that we’ve seen ever. So back to the nineties, and, and for those of you that have been channel chiefs and running programs, we went to work every day. You know, everything’s on fire. We’re trying to check hundred boxes, trying to make our program 10% better than our competitors. [00:27:30] Jay McBain: Hey, we gotta fix our deal registration program today, and our incentives are outta whack or training programs or. You know, not where they need to be. Our certification, you know, this was the life of, uh, of a channel chief. Everybody thought we were just out drinking in the Caribbean with our best partners, but we were under the weight of this. [00:27:49] Jay McBain: But something interesting has happened is that we turned around and put the customer at the middle of our programs to say that those 28 moments in green before the sale are really, really important. And the seven partners who participate are really important. Understanding. The customer’s gonna buy a seven layer stack. [00:28:09] Jay McBain: They’re gonna buy it With these seven partners, the procurement stage is much different. The growth of marketplaces, the growth of direct in some of these areas, and then long term every 30 days forever in a managed service, implementations, integrations, how you upsell, cross-sell, enrich a deal changes. So how would you build a program that’s wrapped around the customer instead of the vendor? [00:28:35] Jay McBain: And we’re starting to hear our partners shout back to us. These are global surveys, big numbers, but over half of our partners, regardless of type, are selling consulting to their customer. Over half are designing architecting deals. A third of them are trying to be system integrators showing up at those implementation integration moments. [00:28:55] Jay McBain: Two thirds of them are doing managed services, but the shocking one here is 44% of our partners, regardless of type, are coding. They’re building agents and they’re out helping their customer at that level. So this is the modern partner that says, don’t typecast me. You may have thought of me in your program. [00:29:14] Jay McBain: You might have me slotted as a var. Well, I do 3.2 things, and if I don’t get access to those resources, if you don’t walk me to that room, I’m not gonna do them with you. You may have me as a managed service provider that’s only in the morning. By the afternoon I’m coding, and by the next morning I’m implementing and consulting. [00:29:33] Jay McBain: So again, a partner’s not a partner. That Venn diagram is a very loose one now, as every partner on there is doing 3.2 different business models. And again, they’re telling us for 43 years, they said, I want more leads this year it changed. For the first time, I want to be recognized and incentivized as more than just a cash register for you. [00:29:57] Jay McBain: I want you to recognize when I’m consulting, when I’m designing, when you’re winning deals, because of my wonderful services, by the way, we asked the follow up question, well, where should we spend our money with you? And they overwhelmingly say, in the consulting stage, you win and lose deals. Not at moment 28. [00:30:18] Jay McBain: We’re not buying a pack of gum at the gas station. This is a considered purchase. You win deals from moment 12 through 16 and I’m gonna show you a picture of that later, and they say, you better be spending your money there, or you’re not gonna win your fair share or more than your fair share of deals. [00:30:36] Jay McBain: The shocking thing about this is that Microsoft, when they went to the point system, lifted two thirds of all the money, tens of billions of dollars, and put it post-sale, and we were all scratching our heads going. Well, if the partners are asking for it there, and it seems like to beat your biggest competitors, you want to win there. [00:30:54] Jay McBain: Why would you spend the money on renewal? Well, they went to Wall Street and Goldman Sachs and the people who lift trillions of dollars of pension funds and said, if we renew deals at 108%, we become a cash machine for you. And we think that’s more valuable than a company coming out with a new cell phone in September and selling a lot of them by Christmas every year. [00:31:18] Jay McBain: The industry. And by the way, wall Street responded, Microsoft has been more valuable than Apple since. So we talk in this now multiplier language, and these are reports that we write, uh, at AMIA at canals. But talking about the partner opportunity in that customer cycle, the $6 and 40 cents you can make for every dollar of consumption, or the $7 and 5 cents you can make the $8 and 45 cents you can make. [00:31:46] Jay McBain: There’s over 24 companies speaking at this level now, and guess what? It’s not just cloud or software companies. Hardware companies are starting to speak in this language, and on January 25th, Cisco, you know, probably second to Microsoft in terms of trust built with the channel globally is moving to a full point system. [00:32:09] Jay McBain: So these are the changes that happen fast. But your QBR with your partners now less about drinking beers at the hotel lobby bar and talking dollar by dollar where these opportunities are. So if you’re doing 3.2 of these things, let’s build out a, uh, a play where you can make $3 for every dollar that we make. [00:32:28] Jay McBain: And you make that profitably. You make it in sticky, highly retained business, and that’s the model. ’cause if you make $3 for every dollar. We make, you’re gonna win Partner of the year, and if you win partner of the year, that piece of glass that you win on stage, by the time you get back to your table, you’re gonna have three offers to buy your business. [00:32:51] Jay McBain: CDW just bought a w. S’s Partner of the Year. Insight bought Google’s eight time partner of the year. Presidio bought ServiceNow’s, partner of the year over and over and over again. So I’m at Octane, I’m at CrowdStrike, I’m at all these events in Vegas every week. I’m watching these partners of the year. [00:33:05] Jay McBain: And I’m watching as the big resellers. I’m watching as the GSIs and the m and a folks are surrounding their table after, and they’re selling their businesses for SaaS level valuations. Not the one-to-one service valuation. They’re getting multiples because this is the new future of our industry. This is platform economics. [00:33:25] Jay McBain: This is winning and platforms for partners. Now, like Vince, I spent 20 minutes without talking about ai, but we have to talk about ai. So the next 20 years as it plays out is gonna play out in phases. And the first thing you know to get it out of the way. The first two years since that March of 23, has been underwhelming, to say the least. [00:33:47] Jay McBain: It’s been disappointing. All the companies that should have won the biggest in AI have been the most disappointing. It’s underperformed the s and p by a considerable amount in terms of where we are. And it goes back to this. We always overestimate the first two years, but we underestimate the first 10. [00:34:07] Jay McBain: If you wanna be the point in time person and go look at that 1983 PC or the 1995 internet or that 2007 iPhone or that whatever point in time you wanna look at, or if you want to talk about hallucinations or where chat chip ET version five is version, as opposed to where it’s going to be as it improves every six months here on in. [00:34:30] Jay McBain: But the fact of the matter is, it’s been a consumer trend. Nvidia got to be the most valuable company in the world. OpenAI was the first company to 2 billion users, uh, in that amount of speed. It’s the fastest growing product ever in history, and it’s been a consumer win this trillions of dollars to get it thrown around in the press releases. [00:34:49] Jay McBain: They’re going out every day, you know, open ai, signing up somebody new or Nvidia, investing in somebody new almost every single day in hundreds of billions of dollars. It is all happening really on the consumer side. So we got a little bit worried and said, is that 96% of surround gonna work in ag agentic ai? [00:35:10] Jay McBain: So we went and asked, and the good news is 88% of end customers are using partners to work through their ag agentic strategy. Even though they’re moving slow, they’re actually using partners. But what’s interesting from a partner perspective, and this is new research that out till 2030. This is the number one services opportunity in the entire tech or telco industry. [00:35:34] Jay McBain: 35.3% compounded growth ending at $267 billion in services. Companies are rebuilding themselves, building out practices, and getting on this train and figuring out which vendors they should hook their caboose to as those trains leave the station. But it kind of plays out like this. So in the next three to five years, we’re in this generative, moving into agentic phase. [00:36:01] Jay McBain: Every partner thinks internally first, the sales and marketing. They’re thinking about their invoicing and billing. They’re thinking about their service tickets. They’re thinking about creating a business that’s 10% better than their competitors, taking that knowledge into their customers and drive in business. [00:36:17] Jay McBain: But we understand that ag agentic AI, as it’s going to play out is not a product. A couple of years ago, we thought maybe a copilot or an agent force or something was going to be the product that everybody needed to buy, and it’s not a product, it’s gonna show up as a feature. So you go back in the history of feature ads and it’s gonna show up in software. [00:36:38] Jay McBain: So if you’re calling in SMB, maybe you’re calling on a restaurant. The restaurant isn’t gonna call OpenAI or call Microsoft or call Nvidia directly. They’re running their restaurant. And they may have chosen a platform like Toast Square, Clover, whatever iPads people are running around with, runs on a platform that does everything in their business, does staffing, does food ordering, works with Uber Eats, does everything end to end? [00:37:08] Jay McBain: They’re gonna wait to one of those platforms, dries out agent AI for them, and can run the restaurant more effectively, less human capital and more consistently, but they wait for the SaaS platform as you get larger. A hundred, 150 people. You have vice presidents. Each of those vice presidents already have a SaaS stack. [00:37:28] Jay McBain: I talked about Salesforce, ServiceNow, Workday, et cetera. They’ve already built that seven layer model and in some cases it’s 70 layers. But the fact is, is they’re gonna wait for those SaaS layers to deliver ag agentic to them. So this is how it’s gonna play out for the next three and a half, three to five years. [00:37:45] Jay McBain: And partners are realizing that many of them were slow to pick up SaaS ’cause they didn’t resell it. Well now to win in this next three to half, three to five years, you’re gonna have to play in this environment. When you start looking out from here, the next generation, you know, kind of five through 15 years gets interesting in more of a physical sense. [00:38:06] Jay McBain: Where I was yesterday talking about every IOT device that now is internet access, starts to get access to large language models. Every little sensor, every camera, everything that’s out there starts to get smart. But there’s a point. The first trillionaire, I believe, will be created here. Elon’s already halfway there. [00:38:24] Jay McBain: Um, but when Bill Gates thought there was gonna be a PC in every home, and IBM thought they were gonna sell 10,000 to hobbyists, that created the richest person in the world for 20 years, there will be a humanoid in every home. There’s gonna be a point in time that you’re out having drinks with your friends, and somebody’s gonna say, the early adopter of your friends is gonna say. [00:38:46] Jay McBain: I haven’t done the dishes in six weeks. I haven’t done the laundry. I haven’t made my bed. I haven’t mowed the lawn. When they say that, you’re gonna say, well, how? And they’re gonna say, well, this year I didn’t buy a new car, but I went to the car dealership and I bought this. So we’re very close to the dexterity needed. [00:39:05] Jay McBain: We’ve got the large language models. Now. The chat, GPT version 10 by then is going to make an insane, and every house is gonna have one of the. [00:39:17] Jay McBain: This is the promise of ai. It’s not humanoid robots, it’s not agents. It’s this. 99% of the world’s business data has not been trained or tuned into models yet. Again, this is the slow moving business. If you want to think about the 99% of business data, every flight we’ve all taken in this room sits on a saber system that was put in place in 1964. [00:39:43] Jay McBain: Every banking transaction, we’ve all made, every withdrawal, every deposit sits on an IBM mainframe put in place in the sixties or seventies. 83% of this data sits in cold storage at the edge. It’s not ready to be moved. It’s not cleansed, it’s not, um, indexed. It’s not in any format or sitting on any infrastructure that a large language model will be able to gobble up the data. [00:40:10] Jay McBain: None of the workflows, none of the programming on top of that data is yet ready. So this is your 10 to 20 year arc of this era that chat bot today when they cancel your flight is cute. It’s empathetic, it feels bad for you, or at least it seems to, but it can’t do anything. It can’t book you the Marriott and get you an Uber and then a 5:00 AM flight the next morning. [00:40:34] Jay McBain: It can’t do any of that. But more importantly, it doesn’t know who you are. I’ve got 53 years of flights under my belt and they, I’m the person that get me within six hours of my kids and get me a one-way Hertz rental. You know, if there’s bad weather in Miami, get me to Tampa, get me a Hertz, I’m driving home, I’m gonna make it home. [00:40:56] Jay McBain: I’m not the 5:00 AM get me a hotel person. They would know that if they picked up the flights that I’ve taken in the past. Each of us are different. When you get access to the business data and you become ag agentic, everything changes. Every industry changes because of this around the customers. When you ask about this 35% growth, working on that data, working in traditional consulting and design and implementation, working in the $7 trillion of infrastructure, storage, compute, networking, that’s gonna be around, this is a massive opportunity. [00:41:30] Jay McBain: Services are gonna continue to outgrow products. Probably for the next five to 10 years because of this, and I’m gonna finish here. So we talked a lot about quantifying names, faces, places, and I think where we failed the most as ultimate partners is underneath the tam, which every one of our CEOs knows to the decimal point underneath the TAM that our board thinks they’re chasing. [00:41:59] Jay McBain: We’ve done a very poor job. Of talking about the available markets and obtainable markets underneath it, we, we’ve shown them theory. We’ve shown them a bunch of, you know, really smart stuff, and PowerPoint slides up the wazoo, but we’ve never quantified it for them. If they wanna win, if they want to get access, if they want to double their pipeline, triple their pipeline, if they wanna start winning more deals, if they wanna win deals that are three times larger, they close two times faster. [00:42:31] Jay McBain: And they renew 15% larger. They have to get into the available and obtainable markets. So just in the last couple weeks I spoke at Cribble, I spoke at Octane, I spoke at CrowdStrike Falcon. All three of those companies at the CEO level, main stage use those exact three numbers, three x, two x, 15%. That’s the language of platforms, and they’re investing millions and millions and millions of dollars on teams. [00:42:59] Jay McBain: To go build out the Sam Andal in name spaces and places. So you’ve heard me talk about these 28 moments a lot. They’re the ones that you spend when you buy a car. Some people spend one moment and they drive to the Cadillac dealership. ’cause Larry’s been, you know, taking care of the family for 50 years. [00:43:18] Jay McBain: Some people spend 50 moments like I do, watching every YouTube video and every, you know, thing on the internet. I clear the internet cover to cover. But the fact is, is every deal averages around these 28 moments. Your customer, there’s 13 members of the buying committee today. There’s seven partners and they’re buying seven things. [00:43:37] Jay McBain: There’s 27 things orchestrating inside these 28 moments. And where and how they all take place is a story of partnering. So a couple of years ago, canals. Latin for channel was acquired by amia, which is a part of Informa Tech Target, which is majority owned by Informa. All that being said, there’s hundreds of magazines that we have. [00:44:00] Jay McBain: There’s hundreds of events that we run. If somebody’s buying cybersecurity, they probably went to Black Hat or they probably went to GI Tech. One of these events we run, or one of the magazines. So we pick up these signals, these buyer intent signals as a company. Why did they wanna, um, buy a, uh, a Canals, which was a, you know, a small analyst firm around channels? [00:44:22] Jay McBain: They understood this as well. The 28 moments look a lot like this when marketers and salespeople are busy filling in the spots of every deal. And by the way, this is a real deal. AstraZeneca came in to spend millions of dollars on ASAP transformation, and you can start to see as the customer got smart. [00:44:45] Jay McBain: The eBooks, they read the podcasts, they listened to the events they went to. You start to see how this played out over the long term. But the thing we’ve never had in our industry is the light blue boxes. This deal was won and lost in December. In this particular case, NTT software won and Yash came in and sold the customer five projects. [00:45:07] Jay McBain: The millions of dollars that were going to be spent were solved here. The design and architecture work was all done here. A couple of ISVs You see in light blue came in right at the end, deal was closed in April. You see the six month cycle. But what if you could fill in every one of the 28 boxes in every single customer prospect that your sales and marketing team have? [00:45:30] Jay McBain: But here’s the brilliance of this. Those light blue boxes didn’t win the deals there. They won the deals months before that. So when NTT and Software one walked into this deal. They probably won the deal back in October and they had to go through the redlining. They had to go through the contracting, they had to go through all the stuff and the Gantt chart to get started. [00:45:54] Jay McBain: But while your CMO is getting all excited about somebody reading an ebook and triggering an MQL that the sales team doesn’t want, ’cause it’s not qualified, it’s not sales qualified, you walk in and say, no, no. This is a multimillion deal, dollar deal. It’s AstraZeneca. I know the five partners that are coming in in December to solidify the seven layers, and you’re walking in at the same time as the CMOs bragging about an ebook. [00:46:21] Jay McBain: This changes everything. If we could get to this level of data about every dollar of our tam, we not only outgrow our competitors, we become the platforms of the next generation. Partnering and ultimate partnering is all here. And this is what we’re doing in this room. This is what we’re doing over these couple of days, and this is what, uh, the mission that Vince is leading. [00:46:43] Jay McBain: Thank you so much. [00:46:47] Vince Menzione: Woo. Day in the house. Good to see you my friend. Good to see you. Oh, we’re gonna spend a couple minutes. Um, I’m put you in the second seat. We’re gonna put, we’re gonna make it sit fireside for a minute. Uh, that was intense. It was pretty incredible actually, Jay. And so I’m, I think I wanna open it up ’cause we only have a few minutes just to, any questions? [00:47:06] Vince Menzione: I’m sure people are just digesting. We already have one up here. See, [00:47:09] Question: Jay knows I’m [00:47:10] Vince Menzione: a question. I love it. We, I don’t think we have any I can grab a mic, a roving mic. I could be a roving mic person. Hold on. We can do this. This is not on. [00:47:25] Vince Menzione: Test, test. Yes it is. Yeah. [00:47:26] Question: Theresa Carriol dared me to ask a question and I say, you don’t have to dare me. You know, I’m going to Anyway. Um, so Jay, of the point of view that with all of the new AI players that strategic alliances is again having a moment, and I was curious your point of view on what you’re seeing around this emergence and trend of strategic alliances and strategic alliance management. [00:47:52] Question: As compared to channel management. And what are you seeing in terms of large vendors like AWS investing in that strategic alliance role versus that channel role training, enablement, measurement, all that good stuff? [00:48:06] Jay McBain: Yeah, it’s, it’s a great question. So when I told the story about toast at the restaurant or Square or Clover, they’re not call, they’re not gonna call open AI or Nvidia themselves either. [00:48:17] Jay McBain: When you look out at the 250,000 ISVs. That make up this AI stack, there is the layers that happen there. So the Alliance with AWS, the alliance they have with Microsoft or Google is going to be how they generate agent AI in their platforms. So when I talk about a seven layer stack, the average deal being seven layers, AI is gonna drive this to nine, and then 11, then probably 13. [00:48:44] Jay McBain: So in terms of how alliances work, I had it up there as one of the five core strategies, and I think it’s pretty even. You can have the best alliances in the world, but if the seven partners trusted by the customer don’t know what that alliance is and the benefits to the customer and never mention it, it’s all for Naugh. [00:49:00] Jay McBain: If you’re go-to market, you’re co-selling, your co-marketing strategies are not built around that alliance. It’s all for naught. If the integration and the co-innovation, the co-development, the all the co-creation work that’s done inside these alliances isn’t translated to customer outcomes, it’s all for naugh. [00:49:17] Jay McBain: These are all five parallel swim lanes. All five are absolutely critically needed. And I think they’re all five pretty equally weighted in terms of needing each other. Yes. To be successful in the era of platforms. Yeah. [00:49:32] Vince Menzione: And the problem is they’re all stove pipe today. If, if at all. Yeah. Maintained, right. [00:49:36] Vince Menzione: Alliances is an example. Channels and other example. They don’t talk to one another. Judge any, we’ve got a mic up here if anybody else has. Yep. We have some questions here, Jacqueline. [00:49:51] Question: So when we’re developing our channel programs, any advice on, you know, what’s the shift that we should make six months from now, a year from now? The historical has been bronze, silver, gold, right? And you’ve got your deal registration, but what’s the future look like? [00:50:05] Jay McBain: Yeah, so I mean, the programs are, are changing to, to the point where the customer should be in the middle and realizing the seven partners you need to win the deal. [00:50:15] Jay McBain: And depending on what category of product you’re in, security, how much you rely on resell, 91.6%. You know, the channel partners are gonna be critical where the customer spends the money. And if you’re adding friction to that process, you’re adding friction in terms of your growth. So you know, if you’re in cybersecurity, you have to have a pretty wide open reseller model. [00:50:39] Jay McBain: You have to have a wide open distribution model, and you have to make sure you’re there at that point of sale. While at the same time, considering the other six partners at moment 12 who are in either saying nice things about you or not, the customer might even be starting with you. ’cause there is actually one thing that I didn’t mention when I showed the 28 moments filled in. [00:51:00] Jay McBain: You’ll notice that the customer went to AWS twice direct. AWS lost the deal. Microsoft won the deal software. One is Microsoft’s biggest reseller in the world. They just acquired crayon. NTT who, who loves both had their Microsoft team go in. [00:51:18] Question: Mm. [00:51:19] Jay McBain: So I think that they went to AWS thinking it was A-W-S-S-A-P, you know, kind of starting this seven layer stack. [00:51:25] Jay McBain: I think they finished those, you know, critical moments in the middle looking at it. And then they went back to AWS kind of going probably WWTF. Yeah. What we thought was happening isn’t actually the outcome that was painted by our most trusted people. So, you know, to answer your question, listen to your partners. [00:51:43] Jay McBain: They want to be recognized for the other things they’re doing. You can’t be spending a hundred percent of the dollars at the point of sale. You gotta have a point of system that recognizes the point of sale, maybe even gold, silver, bronze, but recognizing that you’re paying for these other moments as well. [00:51:57] Jay McBain: Paying for alliances, paying for integrations and everything else, uh, in the cyber stack. And, um, you know, recognizing also the top 1000. So if I took your tam. And I overlaid those thousand logos. I would be walking into 2026 the best I could of showing my company logo by logo, where 80% of our TAM sits as wallet share, not by revenue. [00:52:25] Jay McBain: Remember, a million dollar partner is not a million dollar partner. One of them sells 1.2 million in our category. We should buy them a baseball cap and have ’em sit in the front row of our event. One of them sells $10 million and only sells our stuff if the customer asks. So my company should be looking at that $9 million opportunity and making sure my programs are writing the checks and my coverage. [00:52:48] Jay McBain: My capacity and capability planning is getting obsessed over that $9 million. My farmers can go over there, my hunters can go over here, and I should be submitting a list of a thousand sorted in descending order of opportunity. Of where my company can write program dollars into. [00:53:07] Vince Menzione: Great answer. All right. I, I do wanna be cognizant of time and the, all the other sessions we have. [00:53:14] Vince Menzione: So we’ll just take one other question if there are any here and if not, we’ll let I know. Jay, you’re gonna be mingling around for a little while before your flight. I’m [00:53:21] Jay McBain: here the whole day. [00:53:22] Vince Menzione: You, you’re the whole day. I see that Jay’s here the whole day. So if you have any other questions and, and, uh, sharing the deck is that. [00:53:29] Vince Menzione: Yep. Alright. We have permission to share the deck with the each of you as well. [00:53:34] Jay McBain: Alright, well thank you very much everyone. Jay. Great to have you.

LINDA HAMILTON RETURNS AS SARAH CONNOR!! Terminator: Dark Fate Full Movie Reaction Watch Along: ⁠  / thereelrejects  ⁠ Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at ⁠https://www.rula.com/REJECTS⁠ ⁠#rulapod⁠ Gift Someone (Or Yourself) A Stranger Things RR Tee! ⁠https://shorturl.at/hekk2⁠ The Terminator (1984) Movie Reaction: ⁠   • THE TERMINATOR (1984) MOVIE REACTION!! Fir...  ⁠ Terminator 2: Judgement Day (1991) Reaction: ⁠   • TERMINATOR 2: JUDGMENT DAY (1991) MOVIE RE...  ⁠ Terminator 3: Rise of the Machines (2003) Reaction: ⁠   • TERMINATOR 3: RISE OF THE MACHINES (2003) ...  ⁠ Terminator: Salvation (2009) Reaction: ⁠   • TERMINATOR: SALVATION (2009) MOVIE REACTIO...  ⁠ Terminator: Genisys (2015) Reaction: ⁠   • TERMINATOR: GENISYS (2015) MOVIE REACTION!...  ⁠ Roxy & Tara Conclude their Terminator Marathon (for now...) giving their Terminator: Dark Fate Reaction, Recap, Analysis & Spoiler Review! Produced by James Cameron (Terminator 2, Aliens) and directed by Tim Miller (Deadpool), Dark Fate ignores the events of later sequels to present a reimagined future war. Linda Hamilton (T2, Children of the Corn) returns in full force as a hardened, battle-scarred Sarah Connor, driven by rage, loss, and a relentless mission to stop the machines — even as fate itself evolves beyond Skynet. Roxy & Tara break down all the standout moments: the shocking opening that redefines the franchise, Sarah Connor's explosive reintroduction, the Rev-9's brutal debut, the highway chase sequence, Grace's physical toll as her augmentations fail, the emotional reunion with an unexpected ally, and the relentless final battle that pushes every character to their limit. They discuss how Dark Fate modernizes the franchise, shifts its thematic focus toward legacy and choice, and attempts to pass the torch to a new generation while honoring the past. Follow Roxy Striar YouTube:⁠https://www.youtube.com/@TheWhirlGirls⁠ Instagram:⁠ ⁠⁠https://www.instagram.com/roxystriar/?hl=en⁠ Twitter:  ⁠https://twitter.com/roxystriar⁠ Follow Tara Erickson: Youtube:⁠ https://www.youtube.com/@TaraErickson⁠ Instagram: ⁠ https://www.instagram.com/taraerickson/⁠ Twitter: ⁠ https://twitter.com/thetaraerickson⁠ Intense Suspense by Audionautix is licensed under a Creative Commons Attribution 4.0 license. ⁠https://creativecommons.org/licenses/...⁠ Support The Channel By Getting Some REEL REJECTS Apparel! ⁠https://www.rejectnationshop.com/⁠ Follow Us On Socials:  Instagram: ⁠https://www.instagram.com/reelrejects/⁠  Tik-Tok: ⁠https://www.tiktok.com/@reelrejects?lang=en⁠ Twitter: ⁠https://x.com/reelrejects⁠ Facebook: ⁠https://www.facebook.com/TheReelRejects/⁠ Music Used In Ad:  Hat the Jazz by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. ⁠https://creativecommons.org/licenses/by/4.0/⁠ Happy Alley by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. ⁠https://creativecommons.org/licenses/...⁠ POWERED BY @GFUEL Visit⁠ https://gfuel.ly/3wD5Ygo⁠ and use code REJECTNATION for 20% off select tubs!! Head Editor:⁠ https://www.instagram.com/praperhq/?hl=en⁠ Co-Editor: Greg Alba Co-Editor: John Humphrey Music In Video: Airport Lounge - Disco Ultralounge by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license.⁠ https://creativecommons.org/licenses/by/4.0/⁠ Ask Us A QUESTION On CAMEO:⁠ https://www.cameo.com/thereelrejects⁠ Follow TheReelRejects On FACEBOOK, TWITTER, & INSTAGRAM:  FB:  ⁠https://www.facebook.com/TheReelRejects/⁠ INSTAGRAM: ⁠ https://www.instagram.com/reelrejects/⁠ TWITTER:  ⁠https://twitter.com/thereelrejects⁠ Follow GREG ON INSTAGRAM & TWITTER: INSTAGRAM:  ⁠https://www.instagram.com/thegregalba/⁠ TWITTER:  ⁠https://twitter.com/thegregalba⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Technology -Ai Research and Development Sciences: SKYNET is Soon To Become a REALITY!! An (Ai)Beast System is Emerging!To support the [Show] and its [Research] with Donations, please send all funds and gifts to :$aigner2019 (cashapp) or https://www.paypal.me/Aigner2019 or Zelle (1-617-821-3168). Shalom Aleikhem!

LINDA HAMILTON RETURNS AS SARAH CONNOR!! Terminator: Dark Fate Full Movie Reaction Watch Along:   / thereelrejects   Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at https://www.rula.com/REJECTS #rulapod Gift Someone (Or Yourself) A Stranger Things RR Tee! https://shorturl.at/hekk2 The Terminator (1984) Movie Reaction:    • THE TERMINATOR (1984) MOVIE REACTION!! Fir...   Terminator 2: Judgement Day (1991) Reaction:    • TERMINATOR 2: JUDGMENT DAY (1991) MOVIE RE...   Terminator 3: Rise of the Machines (2003) Reaction:    • TERMINATOR 3: RISE OF THE MACHINES (2003) ...   Terminator: Salvation (2009) Reaction:    • TERMINATOR: SALVATION (2009) MOVIE REACTIO...   Terminator: Genisys (2015) Reaction:    • TERMINATOR: GENISYS (2015) MOVIE REACTION!...   Roxy & Tara Conclude their Terminator Marathon (for now...) giving their Terminator: Dark Fate Reaction, Recap, Analysis & Spoiler Review! Produced by James Cameron (Terminator 2, Aliens) and directed by Tim Miller (Deadpool), Dark Fate ignores the events of later sequels to present a reimagined future war. Linda Hamilton (T2, Children of the Corn) returns in full force as a hardened, battle-scarred Sarah Connor, driven by rage, loss, and a relentless mission to stop the machines — even as fate itself evolves beyond Skynet. Roxy & Tara break down all the standout moments: the shocking opening that redefines the franchise, Sarah Connor's explosive reintroduction, the Rev-9's brutal debut, the highway chase sequence, Grace's physical toll as her augmentations fail, the emotional reunion with an unexpected ally, and the relentless final battle that pushes every character to their limit. They discuss how Dark Fate modernizes the franchise, shifts its thematic focus toward legacy and choice, and attempts to pass the torch to a new generation while honoring the past. Follow Roxy Striar YouTube:https://www.youtube.com/@TheWhirlGirls Instagram: https://www.instagram.com/roxystriar/?hl=en Twitter:  https://twitter.com/roxystriar Follow Tara Erickson: Youtube: https://www.youtube.com/@TaraErickson Instagram:  https://www.instagram.com/taraerickson/ Twitter:  https://twitter.com/thetaraerickson Intense Suspense by Audionautix is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... Support The Channel By Getting Some REEL REJECTS Apparel! https://www.rejectnationshop.com/ Follow Us On Socials:  Instagram: https://www.instagram.com/reelrejects/  Tik-Tok: https://www.tiktok.com/@reelrejects?lang=en Twitter: https://x.com/reelrejects Facebook: https://www.facebook.com/TheReelRejects/ Music Used In Ad:  Hat the Jazz by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Happy Alley by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... POWERED BY @GFUEL Visit https://gfuel.ly/3wD5Ygo and use code REJECTNATION for 20% off select tubs!! Head Editor: https://www.instagram.com/praperhq/?hl=en Co-Editor: Greg Alba Co-Editor: John Humphrey Music In Video: Airport Lounge - Disco Ultralounge by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Ask Us A QUESTION On CAMEO: https://www.cameo.com/thereelrejects Follow TheReelRejects On FACEBOOK, TWITTER, & INSTAGRAM:  FB:  https://www.facebook.com/TheReelRejects/ INSTAGRAM:  https://www.instagram.com/reelrejects/ TWITTER:  https://twitter.com/thereelrejects Follow GREG ON INSTAGRAM & TWITTER: INSTAGRAM:  https://www.instagram.com/thegregalba/ TWITTER:  https://twitter.com/thegregalba Learn more about your ad choices. Visit megaphone.fm/adchoices

Long before Skynet, the British Post Office built its own murderbot. In The War Machines, a supercomputer called WOTAN tries to conquer the world by... hypnotizing secretaries and constructing clunky Dalek knockoffs in a warehouse. And honestly? It almost works. Join us as we revisit the First Doctor's most tech-forward outing, featuring the debut of companions Ben and Polly, the Inferno Club (not that one), face-sucking elevators, and a press conference for the ages. Is this the beginning of UNIT-era vibes? Did the GPO invent AGI? And wait, did they seriously name-check Jimmy Savile?! Tune in for evil acronym discourse, war machine shenanigans, and the shocking origin of the Cybermen.Give your own rating for The War Machines on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and become a True Companion of the podcast to get new episodes before everyone else!Subscribe to our newsletter at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠pulltoopen.net⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for extended notes on The War Machines.Support the podcast by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠becoming a patron⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of Pull To Open on Patreon.Please review Pull To Open on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Timeline:Intro 00:00:00Previously… 00:01:22Whomoji Challenge 00:05:55POLL To Open 00:11:36TL;DW 00:19:32Commentary: The War Machines 00:22:17Four Questions to Doomsday 01:07:12What If the Evil Plot Had Succeeded? 01:10:07Where Is the Clara Splinter? 01:16:32Final Judgment 01:21:56Randomizer! 01:26:33Follow us on:TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen63⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen63⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen63⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Threads: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen63⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Pull To Open Bingo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Story EssentialsSeason 3, Serial 10Story number: 26, per the The Pull To Open CodexWriter: Ian Stuart Black, from a story by Kit PedlerDirector: Michael FergusonScript Editor: Gerry DavisProducer: Innes LloydAired 25 June–16 July 1966Pull To Open: The War MachinesSeason 6Episode 33Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Pete Pachal⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Chris Taylor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Music: Martin West/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Thinking Fish⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠©️AnyWho Media LLC 2025Doctor Who ©️BBC 1963

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We're supposed to talk Christmas, but a rant against A.I occurs. Sean is ready to take down Skynet, and Nick welcomes our robot overlords. But once the Cardassians get past that, join Nick, Rob, Sean, and Bill for a discussion on Christmas movies and music in our last episode of 2025.

There's a narrative we've been sold all year: "Move fast and break things." But a new 100-page report from the Future of Life Institute (FLI) suggests that what we actually broke might be the brakes.This week, the "Winter 2025 AI Safety Index" dropped, and the grades are alarming. Major players like OpenAI and Anthropic are barely scraping by with "C+" averages, while others like Meta are failing entirely. The headlines are screaming about the "End of the World," but if you're a business leader, you shouldn't be worried about Skynet—you should be worried about your supply chain.I read the full audit so you don't have to. In this episode, I move past the "Doomer" vs. "Accelerationist" debate to focus on the Operational Trust Gap. We are building our organizations on top of these models, and for the first time, we have proof that the foundation might be shakier than the marketing brochures claim.The real risk isn't that AI becomes sentient tomorrow; it's that we are outsourcing our safety to vendors who are prioritizing speed over stability. I break down how to interpret these grades without panicking, including:Proof Over Promises: Why FLI stopped grading marketing claims and started grading audit logs (and why almost everyone failed).The "Transparency Trap": A low score doesn't always mean "toxic"—sometimes it just means "secret." But is a "Black Box" vendor a risk you can afford?The Ideological War: Why Meta's "F" grade is actually a philosophical standoff between Open Source freedom and Safety containment.The "Existential" Distraction: Why you should ignore the "X-Risk" section of the report and focus entirely on the "Current Harms" data (bias, hallucinations, and leaks).If you are a leader wondering if you should ban these tools or double down, I share a practical 3-step playbook to protect your organization. We cover:The Supply Chain Audit: Stop checking just the big names. You need to find the "Shadow AI" in your SaaS tools that are wrapping these D-grade models.The "Ground Truth" Check: Why a "safe" model on paper might be useless in practice, and why your employees are your actual safety layer.Strategic Decoupling: Permission to not update the minute a new model drops. Let the market beta-test the mess; you stay surgical.By the end, I hope you'll see this report not as a reason to stop innovating, but as a signal that Governance is no longer a "Nice to Have"—it's a leadership competency.⸻If this conversation helps you think more clearly about the future we're building, make sure to like, share, and subscribe. You can also support the show by ⁠buying me a coffee.And if your organization is wrestling with how to lead responsibly in the AI era, balancing performance, technology, and people, that's the work I do every day through my consulting and coaching. Learn more at https://christopherlind.co.⸻Chapters:00:00 – The "Broken Brakes" Reality: 2025's Safety Wake-Up Call05:00 – The Scorecard: Why the "C-Suite" (OpenAI, Anthropic) is Barely Passing08:30 – The "F" Grade: Meta, Open Source, and the "Uncontrollable" Debate12:00 – The Transparency Trap: Is "Secret" the Same as "Unsafe"?18:30 – The Risk Horizon: Ignoring "Skynet" to Focus on Data Leaks22:00 – Action 1: Auditing Your "Shadow AI" Supply Chain25:00 – Action 2: The "Ground Truth" Conversation with Your Teams28:30 – Action 3: Strategic Decoupling (Don't Rush the Update)32:00 – Closing: Why Safety is Now a User Responsibility#AISafety #FutureOfLifeInstitute #AIaudit #RiskManagement #TechLeadership #ChristopherLind #FutureFocused #ArtificialIntelligence

When you have a late-night hunger craving, sometimes it's hard to suppress it. But if that craving ends up causing a felony level of damage in order to satisfy... maybe ignore it. Let's talk about that, having to deal with your partner using their phone while watching a movie then they ask you to pause the movie so you can catch them up, of course there's a sheep shit spitting contest out there, eating your own pet birds in order to prove a point, and more on today's episode of Can You Don't?!*** Wanna become part of The Gaggle and access all the extra content on the end of each episode PLUS tons more?! Our Patreon page is LIVE! This is the biggest way you can support the show. It would mean the world to us: http://www.patreon.com/canyoudontpodcast ***New Episodes every Wednesday at 12pm PSTWatch on Youtube: https://youtu.be/MLdv-kfVMwwSend in segment content: heyguys@canyoudontpodcast.comMerch: http://canyoudontpodcast.comMerch Inquires: store@canyoudontpodcast.comFB: http://facebook.com/canyoudontpodcastIG: http://instagram.com/canyoudontpodcastYouTube Channel: https://bit.ly/3wyt5rtOfficial Website: http://canyoudontpodcast.comCustom Music Beds by Zach CohenFan Mail:Can You Don't?PO Box 1062Coeur d'Alene, ID 83816Hugs and tugs.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The boys are back, and this time Jerome Powell shows up looking like he just stepped off the set of Terminator: Rate Cut Salvation. In this episode, Chris, Saied and Rajeil break down why markets are foaming at the mouth for a policy pivot… while conveniently ignoring every economic signal flashing bright orange. From exploding rate-cut odds to the consumer tapping out like they're on their ninth round of BNPL debt, this one's a full-speed sprint through the chaos the mainstream financial world desperately pretends isn't happening.➡️ Then we take a hard turn into the AI privacy nightmare no one seems ready for, and the kind of tech overreach that makes Skynet look spiritually grounded. You'll hear why the job market looks strong on the surface but hollow underneath, how corporate America keeps skating by on vibes, and why the average investor is still totally unprepared for what's coming. It's sharp, it's funny, it's troubling... in other words, it's The Higher Standard in peak form.

James Cameron has spent four decades pushing filmmaking technology forward, but at the core of his work is something deeply human. In this video, the Oscar-winning director of Terminator, Aliens, Titanic and the Avatar films (Avatar: Fire and Ash opens December 19) talks about why performance capture is the "purest form of cinema acting," why he refuses to use generative A.I. for scripts and actors' performances, and how safety and trust guide every set he runs. The man who dreamed up Skynet also explains what kind of A.I. boundaries the industry urgently needs to put in place. *The views expressed by guests are their own and do not necessarily reflect the views of their organization or SAG-AFTRA. Any mention of products or services does not imply endorsement.

In the first part of our interview with legendary director James Cameron, he explained his actor-driven approach to performance capture and why human nuance is still at the core of great storytelling. In this second half, Cameron goes deeper into the promises and risks of A.I., where he believes the line sits between helpful innovation and harmful replacement. He talks about what Hollywood must stand guard over as these tools accelerate. And yes, he talks about Skynet and why The Terminator feels a lot less hypothetical today than it did in 1984. *The views expressed by guests are their own and do not necessarily reflect the views of their organization or SAG-AFTRA. Any mention of products or services does not imply endorsement.

Is AI the new “Genesis” shaping the world—and are we watching the Beast System rise in real time?In this explosive episode, I dive into Trump's Genesis Mission, Henry Kissinger's chilling “Genesis of a New World Order,” The Terminator's title “Genesis,” and the growing AI infrastructure forming right in front of us—from Silicon Valley to Gensys Las Vegas.I break down how AI, transhumanism, end-times prophecy, the Beast system, Skynet parallels, Revelations 13, Genesis 6, Nephilim hybrids, and global technocratic control all converge into one storyline that the Bible already warned us about.Is AI just a tool…or the image of the beast taking shape?Is the “Genesis Mission” about American innovation…or the creation of a new world order?And what does Scripture say about the rise of intelligent images, digital idols, and machine-powered deception?

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.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

This is how Skynet starts!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.