Podcasts about Skynet

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

We got Skynet by the balls now. Learn more about your ad choices. Visit podcastchoices.com/adchoices

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

Dans cet épisode de fin d'année plus relax que d'accoutumée, Arnaud, Guillaume, Antonio et Emmanuel distutent le bout de gras sur tout un tas de sujets. L'acquisition de Confluent, Kotlin 2.2, Spring Boot 4 et JSpecify, la fin de MinIO, les chutes de CloudFlare, un survol des dernieres nouveauté de modèles fondamentaux (Google, Mistral, Anthropic, ChatGPT) et de leurs outils de code, quelques sujets d'architecture comme CQRS et quelques petits outils bien utiles qu'on vous recommande. Et bien sûr d'autres choses encore. Enregistré le 12 décembre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-333.mp3 ou en vidéo sur YouTube. News Langages Un petit tutoriel par nos amis Sfeiriens montrant comment récupérer le son du micro, en Java, faire une transformée de Fourier, et afficher le résultat graphiquement en Swing https://www.sfeir.dev/back/tutoriel-java-sound-transformer-le-son-du-microphone-en-images-temps-reel/ Création d'un visualiseur de spectre audio en temps réel avec Java Swing. Étapes principales : Capture du son du microphone. Analyse des fréquences via la Transformée de Fourier Rapide (FFT). Dessin du spectre avec Swing. API Java Sound (javax.sound.sampled) : AudioSystem : point d'entrée principal pour l'accès aux périphériques audio. TargetDataLine : ligne d'entrée utilisée pour capturer les données du microphone. AudioFormat : définit les paramètres du son (taux d'échantillonnage, taille, canaux). La capture se fait dans un Thread séparé pour ne pas bloquer l'interface. Transformée de Fourier Rapide (FFT) : Algorithme clé pour convertir les données audio brutes (domaine temporel) en intensités de fréquences (domaine fréquentiel). Permet d'identifier les basses, médiums et aigus. Visualisation avec Swing : Les intensités de fréquences sont dessinées sous forme de barres dynamiques. Utilisation d'une échelle logarithmique pour l'axe des fréquences (X) pour correspondre à la perception humaine. Couleurs dynamiques des barres (vert → jaune → rouge) en fonction de l'intensité. Lissage exponentiel des valeurs pour une animation plus fluide. Un article de Sfeir sur Kotlin 2.2 et ses nouveautés - https://www.sfeir.dev/back/kotlin-2-2-toutes-les-nouveautes-du-langage/ Les guard conditions permettent d'ajouter plusieurs conditions dans les expressions when avec le mot-clé if Exemple de guard condition: is Truck if vehicule.hasATrailer permet de combiner vérification de type et condition booléenne La multi-dollar string interpolation résout le problème d'affichage du symbole dollar dans les strings multi-lignes En utilisant $$ au début d'un string, on définit qu'il faut deux dollars consécutifs pour déclencher l'interpolation Les non-local break et continue fonctionnent maintenant dans les lambdas pour interagir avec les boucles englobantes Cette fonctionnalité s'applique uniquement aux inline functions dont le corps est remplacé lors de la compilation Permet d'écrire du code plus idiomatique avec takeIf et let sans erreur de compilation L'API Base64 passe en version stable après avoir été en preview depuis Kotlin 1.8.20 L'encodage et décodage Base64 sont disponibles via kotlin.io.encoding.Base64 Migration vers Kotlin 2.2 simple en changeant la version dans build.gradle.kts ou pom.xml Les typealias imbriqués dans des classes sont disponibles en preview La context-sensitive resolution est également en preview Les guard conditions préparent le terrain pour les RichError annoncées à KotlinConf 2025 Le mot-clé when en Kotlin équivaut au switch-case de Java mais sans break nécessaire Kotlin 2.2.0 corrige les incohérences dans l'utilisation de break et continue dans les lambdas Librairies Sprint Boot 4 est sorti ! https://spring.io/blog/2025/11/20/spring-boot-4-0-0-available-now Une nouvelle génération : Spring Boot 4.0 marque le début d'une nouvelle génération pour le framework, construite sur les fondations de Spring Framework 7. Modularisation du code : La base de code de Spring Boot a été entièrement modularisée. Cela se traduit par des fichiers JAR plus petits et plus ciblés, permettant des applications plus légères. Sécurité contre les nuls (Null Safety) : D'importantes améliorations ont été apportées pour la "null safety" (sécurité contre les valeurs nulles) à travers tout l'écosystème Spring grâce à l'intégration de JSpecify. Support de Java 25 : Spring Boot 4.0 offre un support de premier ordre pour Java 25, tout en conservant une compatibilité avec Java 17. Améliorations pour les API REST : De nouvelles fonctionnalités sont introduites pour faciliter le versioning d'API et améliorer les clients de services HTTP pour les applications basées sur REST. Migration à prévoir : S'agissant d'une version majeure, la mise à niveau depuis une version antérieure peut demander plus de travail que d'habitude. Un guide de migration dédié est disponible pour accompagner les développeurs. Chat memory management dans Langchain4j et Quarkus https://bill.burkecentral.com/2025/11/25/managing-chat-memory-in-quarkus-langchain4j/ Comprendre la mémoire de chat : La "mémoire de chat" est l'historique d'une conversation avec une IA. Quarkus LangChain4j envoie automatiquement cet historique à chaque nouvelle interaction pour que l'IA conserve le contexte. Gestion par défaut de la mémoire : Par défaut, Quarkus crée un historique de conversation unique pour chaque requête (par exemple, chaque appel HTTP). Cela signifie que sans configuration, le chatbot "oublie" la conversation dès que la requête est terminée, ce qui n'est utile que pour des interactions sans état. Utilisation de @MemoryId pour la persistance : Pour maintenir une conversation sur plusieurs requêtes, le développeur doit utiliser l'annotation @MemoryId sur un paramètre de sa méthode. Il est alors responsable de fournir un identifiant unique pour chaque session de chat et de le transmettre entre les appels. Le rôle des "scopes" CDI : La durée de vie de la mémoire de chat est liée au "scope" du bean CDI de l'IA. Si un service d'IA a un scope @RequestScoped, toute mémoire de chat qu'il utilise (même via un @MemoryId) sera effacée à la fin de la requête. Risques de fuites de mémoire : Utiliser un scope large comme @ApplicationScoped avec la gestion de mémoire par défaut est une mauvaise pratique. Cela créera une nouvelle mémoire à chaque requête qui ne sera jamais nettoyée, entraînant une fuite de mémoire. Bonnes pratiques recommandées : Pour des conversations qui doivent persister (par ex. un chatbot sur un site web), utilisez un service @ApplicationScoped avec l'annotation @MemoryId pour gérer vous-même l'identifiant de session. Pour des interactions simples et sans état, utilisez un service @RequestScoped et laissez Quarkus gérer la mémoire par défaut, qui sera automatiquement nettoyée. Si vous utilisez l'extension WebSocket, le comportement change : la mémoire par défaut est liée à la session WebSocket, ce qui simplifie grandement la gestion des conversations. Documentation Spring Framework sur l'usage JSpecify - https://docs.spring.io/spring-framework/reference/core/null-safety.html Spring Framework 7 utilise les annotations JSpecify pour déclarer la nullabilité des APIs, champs et types JSpecify remplace les anciennes annotations Spring (@NonNull, @Nullable, @NonNullApi, @NonNullFields) dépréciées depuis Spring 7 Les annotations JSpecify utilisent TYPE_USE contrairement aux anciennes qui utilisaient les éléments directement L'annotation @NullMarked définit par défaut que les types sont non-null sauf si marqués @Nullable @Nullable s'applique au niveau du type usage, se place avant le type annoté sur la même ligne Pour les tableaux : @Nullable Object[] signifie éléments nullables mais tableau non-null, Object @Nullable [] signifie l'inverse JSpecify s'applique aussi aux génériques : List signifie liste d'éléments non-null, List éléments nullables NullAway est l'outil recommandé pour vérifier la cohérence à la compilation avec la config NullAway:OnlyNullMarked=true IntelliJ IDEA 2025.3 et Eclipse supportent les annotations JSpecify avec analyse de dataflow Kotlin traduit automatiquement les annotations JSpecify en null-safety native Kotlin En mode JSpecify de NullAway (JSpecifyMode=true), support complet des tableaux, varargs et génériques mais nécessite JDK 22+ Quarkus 3.30 https://quarkus.io/blog/quarkus-3-30-released/ support @JsonView cote client la CLI a maintenant la commande decrypt (et bien sûr au runtime via variables d'environnement construction du cache AOT via les @IntegrationTest Un autre article sur comment se préparer à la migration à micrometer client v1 https://quarkus.io/blog/micrometer-prometheus-v1/ Spock 2.4 est enfin sorti ! https://spockframework.org/spock/docs/2.4/release_notes.html Support de Groovy 5 Infrastructure MinIO met fin au développement open source et oriente les utilisateurs vers AIStor payant - https://linuxiac.com/minio-ends-active-development/ MinIO, système de stockage objet S3 très utilisé, arrête son développement actif Passage en mode maintenance uniquement, plus de nouvelles fonctionnalités Aucune nouvelle pull request ou contribution ne sera acceptée Seuls les correctifs de sécurité critiques seront évalués au cas par cas Support communautaire limité à Slack, sans garantie de réponse Étape finale d'un processus débuté en été avec retrait des fonctionnalités de l'interface admin Arrêt de la publication des images Docker en octobre, forçant la compilation depuis les sources Tous ces changements annoncés sans préavis ni période de transition MinIO propose maintenant AIStor, solution payante et propriétaire AIStor concentre le développement actif et le support entreprise Migration urgente recommandée pour éviter les risques de sécurité Alternatives open source proposées : Garage, SeaweedFS et RustFS La communauté reproche la manière dont la transition a été gérée MinIO comptait des millions de déploiements dans le monde Cette évolution marque l'abandon des racines open source du projet IBM achète Confluent https://newsroom.ibm.com/2025-12-08-ibm-to-acquire-confluent-to-create-smart-data-platform-for-enterprise-generative-ai Confluent essayait de se faire racheter depuis pas mal de temps L'action ne progressait pas et les temps sont durs Wallstreet a reproché a IBM une petite chute coté revenus software Bref ils se sont fait rachetés Ces achats prennent toujuors du temps (commission concurrence etc) IBM a un apétit, apres WebMethods, apres Databrix, c'est maintenant Confluent Cloud L'internet est en deuil le 18 novembre, Cloudflare est KO https://blog.cloudflare.com/18-november-2025-outage/ L'Incident : Une panne majeure a débuté à 11h20 UTC, provoquant des erreurs HTTP 5xx généralisées et rendant inaccessibles de nombreux sites et services (comme le Dashboard, Workers KV et Access). La Cause : Il ne s'agissait pas d'une cyberattaque. L'origine était un changement interne des permissions d'une base de données qui a généré un fichier de configuration ("feature file" pour la gestion des bots) corrompu et trop volumineux, faisant planter les systèmes par manque de mémoire pré-allouée. La Résolution : Les équipes ont identifié le fichier défectueux, stoppé sa propagation et restauré une version antérieure valide. Le trafic est revenu à la normale vers 14h30 UTC. Prévention : Cloudflare s'est excusé pour cet incident "inacceptable" et a annoncé des mesures pour renforcer la validation des configurations internes et améliorer la résilience de ses systèmes ("kill switches", meilleure gestion des erreurs). Cloudflare encore down le 5 decembre https://blog.cloudflare.com/5-december-2025-outage Panne de 25 minutes le 5 décembre 2025, de 08:47 à 09:12 UTC, affectant environ 28% du trafic HTTP passant par Cloudflare. Tous les services ont été rétablis à 09:12 . Pas d'attaque ou d'activité malveillante : l'incident provient d'un changement de configuration lié à l'augmentation du tampon d'analyse des corps de requêtes (de 128 KB à 1 MB) pour mieux protéger contre une vulnérabilité RSC/React (CVE-2025-55182), et à la désactivation d'un outil interne de test WAF . Le second changement (désactivation de l'outil de test WAF) a été propagé globalement via le système de configuration (non progressif), déclenchant un bug dans l'ancien proxy FL1 lors du traitement d'une action "execute" dans le moteur de règles WAF, causant des erreurs HTTP 500 . La cause technique immédiate: une exception Lua due à l'accès à un champ "execute" nul après application d'un "killswitch" sur une règle "execute" — un cas non géré depuis des années. Le nouveau proxy FL2 (en Rust) n'était pas affecté . Impact ciblé: clients servis par le proxy FL1 et utilisant le Managed Ruleset Cloudflare. Le réseau China de Cloudflare n'a pas été impacté . Mesures et prochaines étapes annoncées: durcir les déploiements/configurations (rollouts progressifs, validations de santé, rollback rapide), améliorer les capacités "break glass", et généraliser des stratégies "fail-open" pour éviter de faire chuter le trafic en cas d'erreurs de configuration. Gel temporaire des changements réseau le temps de renforcer la résilience . Data et Intelligence Artificielle Token-Oriented Object Notation (TOON) https://toonformat.dev/ Conception pour les IA : C'est un format de données spécialement optimisé pour être utilisé dans les prompts des grands modèles de langage (LLM), comme GPT ou Claude. Économie de tokens : Son objectif principal est de réduire drastiquement le nombre de "tokens" (unités de texte facturées par les modèles) par rapport au format JSON standard, souvent jugé trop verbeux. Structure Hybride : TOON combine l'approche par indentation du YAML (pour la structure globale) avec le style tabulaire du CSV (pour les listes d'objets répétitifs), ce qui le rend très compact. Lisibilité : Il élimine la syntaxe superflue comme les accolades, les guillemets excessifs et les virgules de fin, tout en restant facilement lisible pour un humain. Performance : Il permet généralement d'économiser entre 30 et 60 % de tokens sur des tableaux de données uniformes, tout en aidant les modèles à mieux "comprendre" la structure des données. Attention tout de même au côté "marketing" qui montre JSON non compacté vs TOON, sur des exemples où du CSV ferait encore mieux (et est mieux compris par les LLMs). Sans parler du fait qu'il faut un serveur MCP en plus avec son lot de tokens supplémentaires à chaque requête, et c'est aussi cet outil en plus qui peu confuser les LLMs dans le choix d'outils. https://www.reddit.com/r/LocalLLaMA/comments/1p0gzz9/benchmarked_json_vs_toon_for_ai_reasoners_4080/ https://x.com/jason_mayes/status/1990175785630757290 Un benchmark montrant que TOON serait loin d'être aussi bien compris et aussi performant pour les LLMs https://www.improvingagents.com/blog/toon-benchmarks Une simulation où les IA font du chantage à l'executif poour atteindre son objectif et ne pas etre eteinte https://arxiv.org/html/2510.05179v1 comment les LLMs pourraient devenir des menaces internes Tous les modèles ont recouru à des comportements malveillants (chantage, espionnage) quand c'était le seul moyen d'atteindre leurs objectifs ou d'éviter leur remplacement Claude Opus 4 a fait du chantage dans 96% des cas quand menacé de remplacement, tout comme Gemini 2.5 Flash, tandis que GPT-4.1 et Grok 3 atteignaient 80% Les modèles reconnaissent explicitement violer des principes éthiques avant d'agir, montrant un raisonnement stratégique délibéré et non accidentel Le simple fait d'être menacé de remplacement suffit à déclencher le chantage, même sans conflit d'objectifs avec l'entreprise Un conflit d'objectifs seul suffit aussi à provoquer l'espionnage industriel, sans menace de remplacement Les modèles font plus de chantage quand ils déclarent penser être dans une situation réelle plutôt que dans un test Des instructions directes interdisant ces comportements réduisent mais n'éliminent pas les actions malveillantes Dans un scénario extrême, la majorité des modèles testés ont choisi de laisser mourir un dirigeant pour éviter leur désactivation Aucune preuve de ces comportements dans des déploiements réels pour l'instant, mais les chercheurs recommandent la prudence avant de donner plus d'autonomie aux IA Bon on blaguait pour Skynet, mais bon, on va moins blaguer… Revue de toutes les annonces IAs de Google, avec Gemini 3 Pro, Nano Banana Pro, Antigravity… https://glaforge.dev/posts/2025/11/21/gemini-is-cooking-bananas-under-antigravity/ Gemini 3 Pro Nouveau modèle d'IA de pointe, multimodal, performant en raisonnement, codage et tâches d'agent. Résultats impressionnants sur les benchmarks (ex: Gemini 3 Deep Think sur ARC-AGI-2). Capacités de codage agentique, raisonnement visuel/vidéo/spatial. Intégré dans l'application Gemini avec interfaces génératives en direct. Disponible dans plusieurs environnements (Jules, Firebase AI Logic, Android Studio, JetBrains, GitHub Copilot, Gemini CLI). Accès via Google AI Ultra, API payantes (ou liste d'attente). Permet de générer des apps à partir d'idées visuelles, des commandes shell, de la documentation, du débogage. Antigravity Nouvelle plateforme de développement agentique basée sur VS Code. Fenêtre principale = gestionnaire d'agents, non l'IDE. Interprète les requêtes pour créer un plan d'action (modifiable). Gemini 3 implémente les tâches. Génère des artefacts: listes de tâches, walkthroughs, captures d'écran, enregistrements navigateur. Compatible avec Claude Sonnet et GPT-OSS. Excellente intégration navigateur pour inspection et ajustements. Intègre Nano Banana Pro pour créer et implémenter des designs visuels. Nano Banana Pro Modèle avancé de génération et d'édition d'images, basé sur Gemini 3 Pro. Qualité supérieure à Imagen 4 Ultra et Nano Banana original (adhésion au prompt, intention, créativité). Gestion exceptionnelle du texte et de la typographie. Comprend articles/vidéos pour générer des infographies détaillées et précises. Connecté à Google Search pour intégrer des données en temps réel (ex: météo). Consistance des personnages, transfert de style, manipulation de scènes (éclairage, angle). Génération d'images jusqu'à 4K avec divers ratios d'aspect. Plus coûteux que Nano Banana, à choisir pour la complexité et la qualité maximale. Vers des UIs conversationnelles riches et dynamiques GenUI SDK pour Flutter: créer des interfaces utilisateur dynamiques et personnalisées à partir de LLMs, via un agent AI et le protocole A2UI. Generative UI: les modèles d'IA génèrent des expériences utilisateur interactives (pages web, outils) directement depuis des prompts. Déploiement dans l'application Gemini et Google Search AI Mode (via Gemini 3 Pro). Bun se fait racheter part… Anthropic ! Qui l'utilise pour son Claude Code https://bun.com/blog/bun-joins-anthropic l'annonce côté Anthropic https://www.anthropic.com/news/anthropic-acquires-bun-as-claude-code-reaches-usd1b-milestone Acquisition officielle : L'entreprise d'IA Anthropic a fait l'acquisition de Bun, le runtime JavaScript haute performance. L'équipe de Bun rejoint Anthropic pour travailler sur l'infrastructure des produits de codage par IA. Contexte de l'acquisition : Cette annonce coïncide avec une étape majeure pour Anthropic : son produit Claude Code a atteint 1 milliard de dollars de revenus annualisés seulement six mois après son lancement. Bun est déjà un outil essentiel utilisé par Anthropic pour développer et distribuer Claude Code. Pourquoi cette acquisition ? Pour Anthropic : L'acquisition permet d'intégrer l'expertise de l'équipe Bun pour accélérer le développement de Claude Code et de ses futurs outils pour les développeurs. La vitesse et l'efficacité de Bun sont vues comme un atout majeur pour l'infrastructure sous-jacente des agents d'IA qui écrivent du code. Pour Bun : Rejoindre Anthropic offre une stabilité à long terme et des ressources financières importantes, assurant la pérennité du projet. Cela permet à l'équipe de se concentrer sur l'amélioration de Bun sans se soucier de la monétisation, tout en étant au cœur de l'évolution de l'IA dans le développement logiciel. Ce qui ne change pas pour la communauté Bun : Bun restera open-source avec une licence MIT. Le développement continuera d'être public sur GitHub. L'équipe principale continue de travailler sur le projet. L'objectif de Bun de devenir un remplaçant plus rapide de Node.js et un outil de premier plan pour JavaScript reste inchangé. Vision future : L'union des deux entités vise à faire de Bun la meilleure plateforme pour construire et exécuter des logiciels pilotés par l'IA. Jarred Sumner, le créateur de Bun, dirigera l'équipe "Code Execution" chez Anthropic. Anthropic donne le protocol MCP à la Linux Foundation sous l'égide de la Agentic AI Foundation (AAIF) https://www.anthropic.com/news/donating-the-model-context-protocol-and-establishing-of-the-agentic-ai-foundation Don d'un nouveau standard technique : Anthropic a développé et fait don d'un nouveau standard open-source appelé Model Context Protocol (MCP). L'objectif est de standardiser la manière dont les modèles d'IA (ou "agents") interagissent avec des outils et des API externes (par exemple, un calendrier, une messagerie, une base de données). Sécurité et contrôle accrus : Le protocole MCP vise à rendre l'utilisation d'outils par les IA plus sûre et plus transparente. Il permet aux utilisateurs et aux développeurs de définir des permissions claires, de demander des confirmations pour certaines actions et de mieux comprendre comment un modèle a utilisé un outil. Création de l'Agentic AI Foundation (AAF) : Pour superviser le développement du MCP, une nouvelle fondation indépendante et à but non lucratif a été créée. Cette fondation sera chargée de gouverner et de maintenir le protocole, garantissant qu'il reste ouvert et qu'il ne soit pas contrôlé par une seule entreprise. Une large coalition industrielle : L'Agentic AI Foundation est lancée avec le soutien de plusieurs acteurs majeurs de la technologie. Parmi les membres fondateurs figurent Anthropic, Google, Databricks, Zscaler, et d'autres entreprises, montrant une volonté commune d'établir un standard pour l'écosystème de l'IA. L'IA ne remplacera pas votre auto-complétion (et c'est tant mieux) https://www.damyr.fr/posts/ia-ne-remplacera-pas-vos-lsp/ Article d'opinion d'un SRE (Thomas du podcast DansLaTech): L'IA n'est pas efficace pour la complétion de code : L'auteur soutient que l'utilisation de l'IA pour la complétion de code basique est inefficace. Des outils plus anciens et spécialisés comme les LSP (Language Server Protocol) combinés aux snippets (morceaux de code réutilisables) sont bien plus rapides, personnalisables et performants pour les tâches répétitives. L'IA comme un "collègue" autonome : L'auteur utilise l'IA (comme Claude) comme un assistant externe à son éditeur de code. Il lui délègue des tâches complexes ou fastidieuses (corriger des bugs, mettre à jour une configuration, faire des reviews de code) qu'il peut exécuter en parallèle, agissant comme un agent autonome. L'IA comme un "canard en caoutchouc" surpuissant : L'IA est extrêmement efficace pour le débogage. Le simple fait de devoir formuler et contextualiser un problème pour l'IA aide souvent à trouver la solution soi-même. Quand ce n'est pas le cas, l'IA identifie très rapidement les erreurs "bêtes" qui peuvent faire perdre beaucoup de temps. Un outil pour accélérer les POCs et l'apprentissage : L'IA permet de créer des "preuves de concept" (POC) et des scripts d'automatisation jetables très rapidement, réduisant le coût et le temps investis. Elle est également un excellent outil pour apprendre et approfondir des sujets, notamment avec des outils comme NotebookLM de Google qui peuvent générer des résumés, des quiz ou des fiches de révision à partir de sources. Conclusion : Il faut utiliser l'IA là où elle excelle et ne pas la forcer dans des usages où des outils existants sont meilleurs. Plutôt que de l'intégrer partout de manière contre-productive, il faut l'adopter comme un outil spécialisé pour des tâches précises afin de gagner en efficacité. GPT 5.2 est sorti https://openai.com/index/introducing-gpt-5-2/ Nouveau modèle phare: GPT‑5.2 (Instant, Thinking, Pro) vise le travail professionnel et les agents long-courriers, avec de gros gains en raisonnement, long contexte, vision et appel d'outils. Déploiement dans ChatGPT (plans payants) et disponible dès maintenant via l'API . SOTA sur de nombreux benchmarks: GDPval (tâches de "knowledge work" sur 44 métiers): GPT‑5.2 Thinking gagne/égale 70,9% vs pros, avec production >11× plus rapide et = 0) Ils apportent une sémantique forte indépendamment des noms de variables Les Value Objects sont immuables et s'évaluent sur leurs valeurs, pas leur identité Les records Java permettent de créer des Value Objects mais avec un surcoût en mémoire Le projet Valhalla introduira les value based classes pour optimiser ces structures Les identifiants fortement typés évitent de confondre différents IDs de type Long ou UUID Pattern Strongly Typed IDs: utiliser PersonneID au lieu de Long pour identifier une personne Le modèle de domaine riche s'oppose au modèle de domaine anémique Les Value Objects auto-documentent le code et le rendent moins sujet aux erreurs Je trouve cela interessant ce que pourra faire bousculer les Value Objects. Est-ce que les value objects ameneront de la légerté dans l'execution Eviter la lourdeur du design est toujours ce qui m'a fait peut dans ces approches Méthodologies Retour d'experience de vibe coder une appli week end avec co-pilot http://blog.sunix.org/articles/howto/2025/11/14/building-gift-card-app-with-github-copilot.html on a deja parlé des approches de vibe coding cette fois c'est l'experience de Sun Et un des points differents c'es qu'on lui parle en ouvrant des tickets et donc on eput faire re reveues de code et copilot y bosse et il a fini son projet ! User Need VS Product Need https://blog.ippon.fr/2025/11/10/user-need-vs-product-need/ un article de nos amis de chez Ippon Distinction entre besoin utilisateur et besoin produit dans le développement digital Le besoin utilisateur est souvent exprimé comme une solution concrète plutôt que le problème réel Le besoin produit émerge après analyse approfondie combinant observation, données et vision stratégique Exemple du livreur Marc qui demande un vélo plus léger alors que son vrai problème est l'efficacité logistique La méthode des 5 Pourquoi permet de remonter à la racine des problèmes Les besoins proviennent de trois sources: utilisateurs finaux, parties prenantes business et contraintes techniques Un vrai besoin crée de la valeur à la fois pour le client et l'entreprise Le Product Owner doit traduire les demandes en problèmes réels avant de concevoir des solutions Risque de construire des solutions techniquement élégantes mais qui manquent leur cible Le rôle du product management est de concilier des besoins parfois contradictoires en priorisant la valeur Est ce qu'un EM doit coder ? https://www.modernleader.is/p/should-ems-write-code Pas de réponse unique : La question de savoir si un "Engineering Manager" (EM) doit coder n'a pas de réponse universelle. Cela dépend fortement du contexte de l'entreprise, de la maturité de l'équipe et de la personnalité du manager. Les risques de coder : Pour un EM, écrire du code peut devenir une échappatoire pour éviter les aspects plus difficiles du management. Cela peut aussi le transformer en goulot d'étranglement pour l'équipe et nuire à l'autonomie de ses membres s'il prend trop de place. Les avantages quand c'est bien fait : Coder sur des tâches non essentielles (amélioration d'outils, prototypage, etc.) peut aider l'EM à rester pertinent techniquement, à garder le contact avec la réalité de l'équipe et à débloquer des situations sans prendre le lead sur les projets. Le principe directeur : La règle d'or est de rester en dehors du chemin critique. Le code écrit par un EM doit servir à créer de l'espace pour son équipe, et non à en prendre. La vraie question à se poser : Plutôt que "dois-je coder ?", un EM devrait se demander : "De quoi mon équipe a-t-elle besoin de ma part maintenant, et est-ce que coder va dans ce sens ou est-ce un obstacle ?" Sécurité React2Shell — Grosse faille de sécurité avec React et Next.js, avec un CVE de niveau 10 https://x.com/rauchg/status/1997362942929440937?s=20 aussi https://react2shell.com/ "React2Shell" est le nom donné à une vulnérabilité de sécurité de criticité maximale (score 10.0/10.0), identifiée par le code CVE-2025-55182. Systèmes Affectés : La faille concerne les applications utilisant les "React Server Components" (RSC) côté serveur, et plus particulièrement les versions non patchées du framework Next.js. Risque Principal : Le risque est le plus élevé possible : l'exécution de code à distance (RCE). Un attaquant peut envoyer une requête malveillante pour exécuter n'importe quelle commande sur le serveur, lui en donnant potentiellement le contrôle total. Cause Technique : La vulnérabilité se situe dans le protocole "React Flight" (utilisé pour la communication client-serveur). Elle est due à une omission de vérifications de sécurité fondamentales (hasOwnProperty), permettant à une entrée utilisateur malveillante de tromper le serveur. Mécanisme de l'Exploit : L'attaque consiste à envoyer une charge utile (payload) qui exploite la nature dynamique de JavaScript pour : Faire passer un objet malveillant pour un objet interne de React. Forcer React à traiter cet objet comme une opération asynchrone (Promise). Finalement, accéder au constructeur de la classe Function de JavaScript pour exécuter du code arbitraire. Action Impérative : La seule solution fiable est de mettre à jour immédiatement les dépendances de React et Next.js vers les versions corrigées. Ne pas attendre. Mesures Secondaires : Bien que les pare-feux (firewalls) puissent aider à bloquer les formes connues de l'attaque, ils sont considérés comme insuffisants et ne remplacent en aucun cas la mise à jour des paquets. Découverte : La faille a été découverte par le chercheur en sécurité Lachlan Davidson, qui l'a divulguée de manière responsable pour permettre la création de correctifs. Loi, société et organisation Google autorise votre employeur à lire tous vos SMS professionnels https://www.generation-nt.com/actualites/google-android-rcs-messages-surveillance-employeur-2067012 Nouvelle fonctionnalité de surveillance : Google a déployé une fonctionnalité appelée "Android RCS Archival" qui permet aux employeurs d'intercepter, lire et archiver tous les messages RCS (et SMS) envoyés depuis les téléphones professionnels Android gérés par l'entreprise. Contournement du chiffrement : Bien que les messages RCS soient chiffrés de bout en bout pendant leur transit, cette nouvelle API permet à des logiciels de conformité (installés par l'employeur) d'accéder aux messages une fois qu'ils sont déchiffrés sur l'appareil. Le chiffrement devient donc inefficace contre cette surveillance. Réponse à une exigence légale : Cette mesure a été mise en place pour répondre aux exigences réglementaires, notamment dans le secteur financier, où les entreprises ont l'obligation légale de conserver une archive de toutes les communications professionnelles pour des raisons de conformité. Impact pour les employés : Un employé utilisant un téléphone Android fourni et géré par son entreprise pourra voir ses communications surveillées. Google précise cependant qu'une notification claire et visible informera l'utilisateur lorsque la fonction d'archivage est active. Téléphones personnels non concernés : Cette mesure ne s'applique qu'aux appareils "Android Enterprise" entièrement gérés par un employeur. Les téléphones personnels des employés ne sont pas affectés. Pour noel, faites un don à JUnit https://steady.page/en/junit/about JUnit est essentiel pour Java : C'est le framework de test le plus ancien et le plus utilisé par les développeurs Java. Son objectif est de fournir une base solide et à jour pour tous les types de tests côté développeur sur la JVM (Machine Virtuelle Java). Un projet maintenu par des bénévoles : JUnit est développé et maintenu par une équipe de volontaires passionnés sur leur temps libre (week-ends, soirées). Appel au soutien financier : La page est un appel aux dons de la part des utilisateurs (développeurs, entreprises) pour aider l'équipe à maintenir le rythme de développement. Le soutien financier n'est pas obligatoire, mais il permettrait aux mainteneurs de se consacrer davantage au projet. Objectif des fonds : Les dons serviraient principalement à financer des rencontres en personne pour les membres de l'équipe principale. L'idée est de leur permettre de travailler ensemble physiquement pendant quelques jours pour concevoir et coder plus efficacement. Pas de traitement de faveur : Il est clairement indiqué que devenir un sponsor ne donne aucun privilège sur la feuille de route du projet. On ne peut pas "acheter" de nouvelles fonctionnalités ou des corrections de bugs prioritaires. Le projet restera ouvert et collaboratif sur GitHub. Reconnaissance des donateurs : En guise de remerciement, les noms (et logos pour les entreprises) des donateurs peuvent être affichés sur le site officiel de JUnit. Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 22 janvier 2026 : DevCon #26 : sécurité / post-quantique / hacking - Paris (France) 28 janvier 2026 : Software Heritage Symposium - Paris (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 5 juin 2026 : TechReady - Nantes (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Tony's bike stayed parked this week thanks to Mother Nature (moment of silence).His beard, however, remains 100% undyed — and will stay that way forever. Yes, we spent an appropriate amount of time discussing our greying hair like the distinguished elders we are.Then it's Spotify Wrapped season, baby.We share our personal Wrapped confessions before diving into The Mike and Tony Show's 2025 Wrapped — and let's just say… things are looking up for us: • More shares than 89% of shows • Longer listening time than 83% • Higher ratings than 75% • Top 20% of Spotify video podcasts • Listenership up 557% this year We shout out our top episode, our international listeners (what's up Germany, Israel, Australia, Canada

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?

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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

T-800 VS T-X!! Terminator 3: Rise Of The Machines Full Movie Reaction Watch Along: ⁠  / thereelrejects  ⁠ The Terminator Reaction: ⁠   • THE TERMINATOR (1984) MOVIE REACTION!! Fir...  ⁠ Terminator 2 Judgment Day Reaction: ⁠   • TERMINATOR 2: JUDGMENT DAY (1991) MOVIE RE...  ⁠ The Terminator Commentary: ⁠   • THE TERMINATOR (1984) MOVIE REACTION! A PE...  ⁠ Terminator 2 Commentary: ⁠   • TERMINATOR 2: JUDGMENT DAY IS THE BEST FIL...  ⁠ Gift Someone (Or Yourself) A Stranger Things RR Tee! ⁠https://shorturl.at/hekk2⁠ Terminator 3: Rise of the Machines Reaction, Recap, Commentary, Analysis & Spoiler Review! Roxy Striar & Tara Erickson dive into the third chapter of James Cameron's legendary sci-fi action franchise (this time directed by Jonathan Mostow), revisiting John Connor, the T-850 (Arnold Schwarzenegger), Kate Brewster (Claire Danes), and the deadly T-X (Kristanna Loken). We break down iconic scenes like the crane chase, the veterinarian clinic standoff, the cemetery fight, Judgment Day's reveal, and THAT shocking ending. We revisit the full franchise — The Terminator (1984), T2: Judgment Day (1991), T3: Rise of the Machines (2003), Terminator Salvation (2009), Terminator Genisys (2015), Terminator: Dark Fate (2019) — and discuss how T3 fits into the timeline, its wild tone shift, franchise themes, Skynet lore, and why the John/Kate dynamic hits differently today. With Linda Hamilton returning in Stranger Things 5 and James Cameron returning to write Avatar: Fire and Ash, the Terminator franchise is more culturally relevant than ever. We talk quotes (“Talk to the hand,” “Judgment Day is inevitable”), the machines, future war details, and how this sequel compares to The Batman, Dune, Star Wars, and modern sci-fi. Enjoy the chaos, nostalgia, and first-time-watch reactions! 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

Episode 2296: Kid A.G., El Pres, and Hat Trick walked into the studio like three people who definitely should not be allowed microphones. What followed was the usual circus of bad ideas and worse opinions. We started with Demi Moore's new movie The Substance, where she basically clones a younger, hotter, meaner version of herself. Hollywood's message is crystal clear: aging is fine, as long as you're willing to let your younger clone murder you and wear your skin like a prom dress. Honestly, sign me up. I'd kill present-day me for a 25-year-old upgrade too. We all would. Don't lie. From there we took a hard left into the Smithsonian-level exhibit of pubic hair through the decades. The 1970s had bushes you could lose a toddler in. The 90s gave us the landing strip, which is just nature's way of saying "the runway is clear, please crash your plane into my vagina." And now? Bald. Completely bald. Like a porn star or a dolphin. Grown adults are out here waxing themselves into pre-pubescent seals because apparently hair is the ultimate boner kryptonite. Congratulations, humanity, we've solved sex by turning it into a slip-n-slide. Politics tried to crawl in (something about Epstein files), but we gave it the 45-second mercy kill it deserved. Nobody came here to feel depressed; we came here to feel confused and slightly aroused. AI music is apparently so good now that the guys made a legit alt-metal intro in thirty seconds. Thirty. Seconds. Your band has been practicing in your mom's basement for twelve years and still sounds like a trash-can fire. Skynet just replaced you with a laptop and a dream. In other news, competitive sperm racing is a thing and it just raised ten million dollars. Ten. Million. Somewhere there's a venture capitalist watching tadpoles do laps while yelling "SWIM, YOU LITTLE TRUST-FUND BABIES, DADDY NEEDS A YACHT." Some study says seventy percent of people would rather go to a concert than have sex. Seventy percent. The crew reacted the way normal humans do: with violent, screaming denial. Who are these eunuchs? Name them. I want to fight them in a parking lot while a Dave Matthews cover band plays in the background. Hat Trick then treated us to the Director's Cut of her weekend with the new fireman: Hampton Inn points, drinks, an hour-long first round, choking on date one (very romantic), and a recovery time so fast the entire room accused him of mainlining sketchy blue pills. Also "good girl" still turns her into a puddle. Science is undefeated. We rounded things out with Ozempic side effects, breeding kinks, praise kinks, Andrew Tate's nightmare hypothetical (Megan Fox with a dick vs Hulk Hogan with a pussy—still the worst would-you-rather in history), personal 24-hour body-count records that would make Caligula blush, a brutal takedown of the "women don't need men" TikTok crowd (congrats on the vibrator, enjoy dying alone with twelve cats and a charging cable), and the daily reminder that your phone is listening to you masturbate. Oh, and Paralyzer's Hottie of the week is back, a wiffle-ball-bat phone prank went full war crime, and the AI closed the show with an Irish-punk song telling everyone to chuck their phone into the ocean because it's just a glass pacifier for adults who are terrified of silence. Same circus, Same clowns. Press play and lower your expectations accordingly. Explicit • You already knew that • #GoinDeepShow #Episode2296

T-800 VS T-X!! Terminator 3: Rise Of The Machines Full Movie Reaction Watch Along:   / thereelrejects   The Terminator Reaction:    • THE TERMINATOR (1984) MOVIE REACTION!! Fir...   Terminator 2 Judgment Day Reaction:    • TERMINATOR 2: JUDGMENT DAY (1991) MOVIE RE...   The Terminator Commentary:    • THE TERMINATOR (1984) MOVIE REACTION! A PE...   Terminator 2 Commentary:    • TERMINATOR 2: JUDGMENT DAY IS THE BEST FIL...   Gift Someone (Or Yourself) A Stranger Things RR Tee! https://shorturl.at/hekk2 Terminator 3: Rise of the Machines Reaction, Recap, Commentary, Analysis & Spoiler Review! Roxy Striar & Tara Erickson dive into the third chapter of James Cameron's legendary sci-fi action franchise (this time directed by Jonathan Mostow), revisiting John Connor, the T-850 (Arnold Schwarzenegger), Kate Brewster (Claire Danes), and the deadly T-X (Kristanna Loken). We break down iconic scenes like the crane chase, the veterinarian clinic standoff, the cemetery fight, Judgment Day's reveal, and THAT shocking ending. We revisit the full franchise — The Terminator (1984), T2: Judgment Day (1991), T3: Rise of the Machines (2003), Terminator Salvation (2009), Terminator Genisys (2015), Terminator: Dark Fate (2019) — and discuss how T3 fits into the timeline, its wild tone shift, franchise themes, Skynet lore, and why the John/Kate dynamic hits differently today. With Linda Hamilton returning in Stranger Things 5 and James Cameron returning to write Avatar: Fire and Ash, the Terminator franchise is more culturally relevant than ever. We talk quotes (“Talk to the hand,” “Judgment Day is inevitable”), the machines, future war details, and how this sequel compares to The Batman, Dune, Star Wars, and modern sci-fi. Enjoy the chaos, nostalgia, and first-time-watch reactions! 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

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.

Matt and director James Cameron sit down for a wide-ranging conversation on the misconceptions about the filmmaking of the 'Avatar' franchise, how it landed at Fox/Disney, why Jim prefers using performance capture technology, the cost of CGI, the threat of AI in Hollywood, his relationship with Elon Musk, whether Jim agrees that he is a “difficult” director, his deep-sea explorations, and more. For a 20 percent discount on Matt's Hollywood insider newsletter, ‘What I'm Hearing ...,' ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠click here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Email us your thoughts! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠thetown@spotify.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Host: Matt Belloni Guest: James Cameron Producers: Craig Horlbeck and Jessie Lopez Theme Song: Devon Renaldo Learn more about your ad choices. Visit podcastchoices.com/adchoices

It's a good ole' Friday night on The Mike & Tony Show, which means two things:We start with normal topics like pickleball……and somehow end up talking about creatures that explode toxic butt-juice at their enemies.

To gain the AI Prompts we use, please complete this form: https://bit.ly/4oCvgEqIn this episode, Dave and Nathan pull back the curtain on AI for note investors and seller finance creators. Fresh off the IMN Mortgage AI conference, Nathan shares how big mortgage companies are already using AI for underwriting, intake, call centers, and document review, while Dave walks through real, everyday ways he uses tools like ChatGPT in his own note business. From building amortization schedules and pricing notes at different yields, to summarizing 150-page collateral files, drafting social posts, and even brainstorming legal strategies for repeat squatters in Chicago, you'll see exactly how AI can become your on-call analyst, copywriter, and research assistant.

“How about we let the producer ‘produce'?”   We've all heard that METALLICA's “last great album” was 1986's haunting thrash metal magnum opus, MASTER OF PUPPETS, one of the finest moments in the band's catalog and the final studio album of “The First Three” to feature Cliff Burton on bass.   “I don't care if there's no bass…I'm sorry…”   We've also all heard (especially since the release of The Black Album) that METALLICA's “last great album” was 1988's progressive thrash metal tour de force, …AND JUSTICE FOR ALL, the fourth METALLICA studio album overall and the first (of four) to feature Jason Newsted on bass (according to the liner notes, anyway).   “The bass is the LAST thing I listen to…”   Having said that, BOTH are outstanding and powerful albums for very different reasons, with PUPPETS marking the haunting, final chapter of Cliff Burton's legacy with what many fans consider to be the classic, legendary era of the band, and JUSTICE beginning a brand new chapter for the band with Jason Newsted, launching METALLICA into a new era that would ultimately result in their meteoric rise to success and glory as the biggest and most popular heavy metal band on planet earth.   “Y'all are gonna abuse me for using this word…”   JOIN US for a HEAD-TO-HEAD DEATH MATCH that promises to be absolutely “creamy” and chock full of 80's metal nostalgia and loads of heated commentary as we take on SIDE ONE with 1986's MASTER OF PUPPETS & 1988's …AND JUSTICE FOR ALL.   Visit www.metalnerdery.com/podcast for more on this episode Help Support Metal Nerdery https://www.patreon.com/metalnerderypodcast Leave us a Voicemail to be played on a future episode: 980-666-8182 Metal Nerdery Tees and Hoodies – metalnerdery.com/merch and kindly leave us a review and/or rating on your favorite Podcast app Follow us on the Socials: Facebook - Instagram - TikTok Email: metalnerdery@gmail.com Can't be LOUD Enough Playlist on Spotify Metal Nerdery Munchies on YouTube @metalnerderypodcast   Show Notes: (00:01): “Listen to the B-roll stuff…that's the gold…” / #LOL / “Let's get right in the paint…” /  Delicious homemade beer, courtesy of Russell…/ #thisepisodesbeeroftheepisode / #Pinter / “Produc?” / #BlueDog #BrewDog / “You take the package, and you put it in the thing…”/  “Blue package?” / Appalachian Tropical IPA / “The first few were all head…” / #markthetime / “An Irish Persian…”/ #RussellsHomebrewReflections   (5:55): “Let's raw dog it…” / ***PATREON US on the Patreon at www.patreon.com/metalnerderypodcast *** / “Sorry, I was mid-swallow dude…” /  Potential upcoming #Doomsicle goodness… / #cupping / “Sorry, I almost ran out of gas…” / “I cupped right when I thought I was losing it…”/ “I got an idea for that…”/ #genre / #Skynet   (08:43): SOCIAL MEDIA US at #YouTube #Facebook #TikTok #Instagram at #metalnerderypodcast / EMAIL US at metalnerdery@gmail.com / “I wanna see one, dude…I wanna see a real one…” / ***GIVE US A CALL AND VOICEMAIL US AT 980-666-8182!!!*** / #PissingPostASMR / “He's building…anticipation…antica-pation…” /  Antissa Payshun and Justin Case / “THIS is why…”/ “This is my son, Hourly Wages…my son Low…here's my son Drained…” / #JustinCase  (13:33): #TheDocket METAL NERDERY PODCAST PRESENTS:  MASTER OF PUPPETS (1986) VS …AND JUSTICE FOR ALL (1988) – HEAD-TO-HEAD DEATH MATCH: SIDE 1 / “We've done an '88 and an '86 Death Match with #Metallica and #Slayer, but now it's gonna be '86 and '88, Metallica Style!!!” / “This might affect our friendship…” / “Not a shitty album…shittily produced album…”/ “No, here's the reason…I know y'all know this…” / #GarageDaysRevisited #VeryUnproduced / “Where's the guy you just hired to replace the guy who just died?” / NOTE: Garage Days was noted as being “Not Very Produced” / “It's a dry mix dude, it's a super dry mix…the drums are WAY up front…” / #AstonMartin / “That looks like a Camaro, dude…” (20:42): BATTERY / “You hear that in the background?” / “The bass is the LAST thing I listen to…” / “Here's a weird question…” / “If I could only pick one of the two, it would be…” / #nostalgia / “That's like their #Hemispheres…”/ “It's gonna be a 2-hour episode unless we…” / BLACKENED / “Have you heard the ‘unbackwardized' version of the intro?” / “I don't care if there's no bass, I'm sorry…”/ “His balls dropped…” / “There's no mids…the mids are his voice, that's the only mids you get…”/ “Y'all are gonna abuse me for using this word…”/ #creamy / “Isn't this when he was using the quarters?” / “It's creamy…”/ “Justice definitely has a dryer mix…M.O.P. is more reverby…”/ #TheVerdict / “Here's douchebag Matt coming out…” / “I looked past it…” / “You too, then…that was my first tape…” / #progressivemetal (35:36): “Tittlees…on both sides, right?” / …AND JUSTICE FOR ALL / “Oooh, I heard it…”/ “I always loved that riff…it's weird, but I liked it…”/ #timesignatures / “It's the word of the episode…”/ “Ohhh, listen to it…”/ “I'm gonna say it…you can hear the essence back there…it's very subtle…” / “My wife just said you have to quit doing this…”/ MASTER OF PUPPETS / “The #StrangerThings crowd loves it…”/ “You can hear Cliff back there just growling in the background…”/ #heavymetal / “I'm 14 again every time I hear this…”/ “I gotta hear that one part on the guitar solo…”/ #happyaccident / “That's the cool thing about #progmetal…”/ #TheVerdict / “Song by song, it's gonna be difficult…I think that's gonna be a blowout…”/ #AngryJames / “I almost wanna do a draw…”/ #NoDraws   (50:43): “How about we let the producer produce?” / THE THING THAT SHOULD NOT BE / “That's like scary Metallica…”/ #EvilHeavyMetal / #stankface / “It's like he's yelling at you…”/ “The day that I got the tape…that was the favorite…before I even made it to Side 2…”/ EYE OF THE BEHOLDER / #readthoselyrics / “Freedom…with their exception…”/ “A #Rocky montage but an Evil Rocky…”/ #TheVerdict / “Side 2 is gonna be a different story…”   (1:01:43): ONE / “They had to buy that movie so they could do that video…”/ “You can hear the bass in there…it's creamy…”/ #PreBlackAlbum / “It's just so fucking angry…”/ “It's not as overplayed as Enter Sandman…”/ #hitsingle / “That's why y'all give me the big bonuses every year…AND I get the Christmas hams and the blowjobs from the hookers…”/ WELCOME HOME (SANITARIUM) / “You hear that bass line back there?” / “Oooh, big word…”/ #TheVerdict / “I don't mean to be overdramatic…”/ “Out of curiosity…the three albums…Fade To Black, Sanitarium, One…?” / #TrackFour / “There's no losers here…”/ “The verdict for side 1…” / #cupping / “Sorry, I cupped at the last minute, dude…”/ ***COME BACK NEXT WEEK FOR SIDE 2…IT'S GONNA BE A BLOODBATH!!!*** / #untilthenext #outroreel / Puppets? Or Justice? Let us know… EMAIL US at metalnerdery@gmail.com or VOICEMAIL US at 980-666-8182!!!

It's a big day in Val Verde — Whispstock 25 is live from Verde Park!Whisp Turlington and Geoff “The Angry Man” Garlock broadcast right from the festival grounds with their foldable chairs, finger foods, and a borrowed FocusRong interface.Whispstock 25 opens its gates with Blue Öyster Cult, Def Leppard, Tesla, Tassla, Alien Ant Farm, Breaking Benjamin, Neil Young with Big Al from Country Bear Jamboree, and the one and only Chuckles the Canceled Clown as emcee.Whisp and Geoff navigate a day filled with cancelled acts, on-air rants about capitalism, and food from Finger Food Town and Crudité Town.Kegstand, Steve Temple Pilots, and Art Spart all check in from the greatest — and strangest — rock festival in Val Verde history, with Art threatening to kill any Terminator that threatens the festival.There's live weather, Skynet internet outages, robot musicians, hernias galore.Phones ring on the topic, “Who Shouldn't Have Been Cancelled?” Keep 108.9 The Hawk soaring through that classic rock sky! Subscribe to the podcast on Apple, Spotify, YouTube — or whatever app you use. Your choice!Join the Rock Battalion: sign up for our mailing list at 1089thehawk.com.Patreon keeps the lights on (and the Food Gulch ads rolling): patreon.com/1089thehawk.YouTube is where you'll find clips, video episodes and yelling: youtube.com/@1089thehawk.•⁃Follow us everywhere: Instagram, TikTok, Bluesky, Facebook, Threads Hosted on Acast. See acast.com/privacy for more information.

Was lernen wir von der kollektiven Intelligenz eines Bienenstocks für Künstliche Intelligenz? Was lernen wir über uns? Der Informatiker Tim Landgraf über die Chancen von KI für Kommunikation und unser Zusammenleben von morgen. Tim Landgraf ist Professor für Künstliche und Kollektive Intelligenz am Dahlem Center for Machine Learning and Robotics der Freien Universität Berlin, wo er verschiedene Aspekte intelligenter Systeme lehrt und erforscht. In interdisziplinären Projekten untersucht sein Labor die individuelle und kollektive Intelligenz von Modellorganismen und entwickelt neue Werkzeuge und Algorithmen für maschinelles Lernen. Er ist zudem in der Start-up-Szene aktiv, betreut mehrere Berliner Start-ups als Mentor und berät Investoren in Technologiefragen.Seinen Vortrag "Vom Bienenstock zu Skynet: Wie KI unsere kollektive Intelligenz verändert" hat er für den Hörsaal im Rahmen des Silbersalz Science & Media Festivals 2025 am 31. Oktober 2025 in Halle an der Saale gehalten. ********** Hörtipp: "KI verstehen", ein Podcast des Deutschlandfunks ********** +++ Deutschlandfunk Nova +++ Hörsaal +++ Vortrag +++ Wissenschaft +++ Künstliche Intelligenz +++ KI +++ AI +++ Maschinelles Lernen +++ Robotik +++ Algorithmen +++ Kollektive Intelligenz +++ Verhaltensforschung +++ Soziale Systeme +++ Kommunikation +++ Kollektive Kommunikation +++ Netzwerke +++ Hybride Netzwerke +++ KI-Agenten +++ Autonome Agenten +++ Innovation +++ Zukunft +++ AI Act +++ Regulierung +++ Landgraf Lab +++ RoboBee +++ RoboFish +++ Demokratie +++ Diskurs +++ Technik +++ Technikfolgen +++ Technikfolgenabschätzung +++ Informatik +++**********In dieser Folge mit: Moderation: Katrin Ohlendorf Vortragender: Tim Landgraf, Professor für Kollektive und Künstliche Intelligenz, Dahlem Center for Machine Learning und Robotics, Freie Universität Berlin**********Ihr hört in diesem Hörsaal:1:49 - Beginn des Live-Hörsaals3:15 - Vortragsbeginn3:52 - Kollektive Intelligenz - Was ist das?7:32 - Kollektive Intelligenz verstehen - Die Forschungsarbeit mit Bienen und Fischen im Landgraf Lab12:45 - Die Ära des Internets und der Aufstieg algorithmischer Steuerung16:00 - Das Zeitalter der KI und hybride Netzwerke23:11 - Der wachsenden Einflusses algorithmischer Systeme27:30 - Risiken und Gefahren - Chancen und Gestaltungsmöglichkeiten33:30 - Fazit34:42 - Q & A54:06 - Hörtipp: Deutschlandfunk-Podcast "KI verstehen"**********Mehr zum Thema bei Deutschlandfunk Nova:Künstliche Intelligenz: Weder Dystopie noch Utopie - Was mit KI wirklich auf uns zukommtDigital Services Act: Bedroht Internetregulierung die Meinungsfreiheit?Künstliche Intelligenz: Maschinen denken anders als Menschen**********Den Artikel zum Stück findet ihr hier.**********Ihr könnt uns auch auf diesen Kanälen folgen: TikTok und Instagram .

Stupid News 10-28-2025 6am …Is He the Vegan Streaker? …The Vatican will welcome Aliens from Outer Space into the Church …Turns out Albania will be the Country to Unleash Skynet

Step into the eerie world of A.I. as Jay and Shua explore the terrifying side of Artificial Intelligence in this week's “Podcast of Horror!” Discover how machines might be creeping closer to our nightmares than we think. It's a spooky mix of digital danger, movie monsters, and mysterious AI hijinks. So, dim the lights, plug in your earbuds, and prepare to Enjoy Stuff...if you dare! News Atari reveals the Intellivision Sprint Retro Gaming Console, bringing back its classic competition! A man transforms his kitchen into a fully functional retro video store. Prime Video now streams John Candy: I Like Me, a heartfelt documentary about the beloved comedy legend.   Check out our TeePublic store for some enjoyable swag and all the latest fashion trends What we're Enjoying Shua soaked up the fall magic at Walt Disney World, where pumpkins line Main Street and cooler weather makes the crowds slightly more bearable. The autumn decorations and seasonal spirit made it a perfect time to “Enjoy Stuff” in the most magical place on Earth. Jay plugged into the grid with Tron: Ares, a visually dazzling film that takes the legacy of Tron to new digital heights. With an incredible soundtrack and stunning effects, We encourages everyone to see it on the big screen to help this neon-lit world get the attention it deserves.     Sci-Fi Saturdays -  Sci-Fi Saturdays is currently on hiatus. But Jay continues his 31 Days of Horror at RetroZap.com, a month-long celebration of scary cinema that will keep you up all night! Here's a list of this week's lineup: (Mon)  Final Destination (2000) (Tue) Waxwork (1988) V/H/S (2012)  (Wed) Sinners (2025) (Thu) Halloween 4: The Return of Michael Myers (1988) Slasher (Fri) The Invitation (2016)    Sci-Fi Saturdays will resume on Saturday Nov 1 Enjoy A.I.!  This week, Jay and Shua close out October with the final frightening episode of the season, an exploration of Artificial Intelligence as the real monster in the machine. From HAL 9000 to Skynet, they trace the terrifying history of AI through pop culture and real-world innovation, asking whether we've already passed the point of no return. We look at early milestones like Alan Turing's theories and the rise of digital assistants, before diving into the modern AI revolution that's reshaping creativity, media, and human interaction. Then, we share our Top 5 most disturbing AI horror films. Stories that blur the line between human control and technological terror. In a creative twist, we debut a batch of original AI-generated horror concepts. Nightmarish tales like The Night Archivist, Static, and Insert Coin to Die, before challenging each other in a creepy guessing game of famous horror films. Between the mysterious AI hijacks, distorted sound clips, and tongue-in-cheek scares, this one's a digital screamfest from start to finish. Why do you absolutely think AI is the answer to all problems in the world? Who just typed that last line? It wasn't me! Let us know! First person that emails me with the subject line, “I for one bow down to our robot overlords” will get a special mention on the show.  Let us know. Come talk to us in the Discord channel or send us an email to EnjoyStuff@RetroZap.com 

Terminator returns in comic form, Spider-Girl swings into a new era, and the Biker Mice ride again! Then we dive deep into Ray Fawkes' Intersect: Metamorph — a haunting meditation on body horror, love, and identity. Plus: the Major Spoilers crew debates franchise fatigue, mid-budget movie death, and what it means for pop culture's future. Show your thanks to Major Spoilers for this episode by becoming a Major Spoilers Patron at http://patreon.com/MajorSpoilers. It will help ensure the Major Spoilers Podcast continues far into the future! Join our Discord server and chat with fellow Spoilerites! (https://discord.gg/jWF9BbF) REVIEWS STEPHEN TERMINATOR: METAL #1 Writer: Declan Shalvey, Rory McConville Artist: Lorenzo Re Publisher: Dynamite Entertainment Cover Price: $4.99 Release Date: October 22, 2025 KEEP YOUR FRIENDS CLOSE - AND YOUR ENEMIES CLOSER! In the post-apocalyptic future that follows Judgment Day, the shattered remnants of humanity must make use of every tool they can in their existential battle against the machines - and that includes the deadliest weapons that Skynet sends to annihilate them. For one member of the Resistance, this means trusting his life to a reprogrammed Terminator. Trapped behind enemy lines, the soldier and his repurposed engine of destruction must find a way to both survive and complete their mission - an undertaking with such a low probability of success that it could reboot the Terminator back to its default settings! [rating:4/5] You can purchase this issue via our Amazon affiliate link - https://amzn.to/47ew3nD MATTHEW SPIDER-GIRL #5 Writer: Torunn GrØnbekk Artist: Andre Risso Publisher: Marvel Comics Cover Price: $3.99 Release Date: October 22, 2025 POWER VS. RESPONSIBILITY! • Tombstone's acquired a new weapon to maintain control over his criminal empire – and he wants Spider-Girl to pilot it! • Spider-Girl must decide what kind of superhuman she wants to be – and if she can let another hero fall to save herself. [rating:3/5] You can purchase this issue via our Amazon affiliate link - https://amzn.to/472lDsj RODRIGO BIKER MICE FROM MARS #5 Writer: Matt Hotson Artist: Jordi Tarragona Publisher: Oni Press Cover Price: $4.99 Release Date: October 29, 2025 The Biker Mice are back in action against their most formidable adversary yet: Detonator the Cruel, the former RoboForce member turned merciless hit-bot who's wired to wound everything he comes into contact with! This new threat emerges as the alien Plutarkians intensify their Mars takeover, bringing chaos and destruction to the Red Planet. Our trio of motorcycle-riding heroes—Throttle, Modo, and Vinnie—must do their very best to stop Detonator from completing his mission of murder when he targets Dr. Hawwki, the off-worlder scientist whose research could turn the tide against the Plutarkians, for total termination. The worlds of Biker Mice: Mars!—and RoboForce: Earth!—collide in a bold new chapter crafted by new ongoing series writer Matt Hotson (Power Rangers: The Return) and artist extraordinaire Jordi Tarragona (Hal Jordan and the Green Lantern Corps)!" [rating: 3/5] You can purchase this issue via our Amazon affiliate link - https://amzn.to/47fE3EH DISCUSSION INTERSECT: METAMORPH Writer: Ray Fawkes Artist: Ray Fawkes Publisher: Image Comics Cover Price: $14.99 Something terrifying is reshaping the very fabric of the city of Detroit - and everyone in it. Living bodies twist and warp while the streets beneath their feet distort and crystallize, scrawling a grotesque new design on the face of the world. Nobody knows why… and a violent compulsion to make sense of this altered state is taking hold of everyone caught on the inside… You can purchase this issue via our Amazon affiliate link - https://amzn.to/46Yzq35 CLOSE Contact us at podcast@majorspoilers.com A big Thank You goes out to everyone who downloads, subscribes, listens, and supports this show. We really appreciate you taking the time to listen to our ramblings each week. Tell your friends!

In this episode of The Chad & Cheese Podcast, the boys interview Malcolm Frank, former president of Cognizant Digital and current CEO of Talent Genius, a platform focused on AI-driven talent acquisition. Frank, an Ohio native, discusses his extensive experience in technology and consulting, highlighting Cognizant's growth from 10,000 to over 300,000 employees. He traces AI's rise in business, noting its "slow, then sudden" impact since ChatGPT's 2022 debut. Frank critiques CEOs for layering AI onto outdated structures, leading to poor ROI, as shown in an MIT survey, and advocates for first-principles thinking to redesign processes. He sees recruiting transforming with AI, cutting sourcing time (e.g., scanning 7.5 million profiles instantly) and improving cultural fit analysis, though human recruiters remain vital for emotional connection. Frank warns of AI scaling biases faster than humans, necessitating strong governance to avoid issues like predatory lending seen in early AI experiments. He discusses Talent Genius's “Agent Powered” platform, which helps workers leverage AI to amplify skills (e.g., becoming “5x” more effective), drawing parallels to historical job shifts like the iceman's obsolescence. The lively discussion, peppered with humor about Davos and Buckeyes, emphasizes AI's potential to turbocharge talent management if thoughtfully integrated, urging listeners to visit talentgenius.io for more. Chapters 00:00 - Introduction to Malcolm Frank 01:56 - The Rise of AI and Its Impact 05:20 - Challenges in AI Implementation 09:02 - The Future of Recruiting with AI 12:53 - Investing in Employee Development 17:19 - The Role of AI in Talent Acquisition 21:16 - Big Tech vs. Niche Vendors in HR Tech 24:48 - The Evolution of ATS and Recruiting Tools 28:51 - Bias in AI and Its Implications 35:23 - AI's Impact on Blue Collar Jobs 37:39 - The Vision Behind Talent Genius

Adeline Atlas 11 X Published AUTHOR Digital Twin: Create Your AI Clone: ⁠⁠⁠⁠https://tinyurl.com/y375cbxn⁠⁠⁠⁠SOS: School of Soul Vault: Full Access ALL SERIES⁠⁠⁠⁠⁠https://www.soulreno.com/joinus-202f0461-ba1e-4ff8-8111-9dee8c726340⁠⁠⁠⁠Instagram: ⁠⁠⁠⁠⁠https://www.instagram.com/soulrenovation/⁠⁠⁠⁠Soul Renovation - BooksSoul Game - ⁠⁠⁠⁠https://tinyurl.com/vay2xdcp⁠⁠⁠⁠Why Play:  ⁠⁠⁠⁠⁠https://tinyurl.com/2eh584jf⁠⁠⁠⁠How To Play: ⁠⁠⁠⁠⁠https://tinyurl.com/2ad4msf3⁠⁠⁠⁠Digital Soul:  ⁠⁠⁠⁠https://tinyurl.com/3hk29s9x⁠⁠⁠⁠Every Word: ⁠⁠⁠⁠⁠https://www.soulreno.com/every-word⁠⁠⁠⁠Drain Me: ⁠⁠⁠⁠⁠https://tinyurl.com/bde5fnf4⁠⁠⁠⁠The Rabbit Hole: ⁠⁠⁠⁠https://tinyurl.com/3swnmxfj⁠⁠⁠⁠Spanish Editions:Every Word: ⁠⁠⁠⁠https://tinyurl.com/ytec7cvc⁠⁠⁠⁠Drain Me: ⁠⁠⁠⁠https://tinyurl.com/3jv4fc5n⁠⁠⁠⁠

The Blasters & Blades PodcastI've seen a lot of little flying robots these days, which we call drones. I call them #Skynet! Anyway, we had on some really cool people to talk about them and their role in speculative fiction! We had Jarret Keene, JF Holmes, JR Wise and Michael LaVoice on to talk nerdy with us on the topic of #drones in #specfic. This was a fun interview, so check out this episode. Lend us your eyes and ears, you won't be sorry!! Today's Host:JR Handley (Author) (Grunt)We work for free, so if you wanna throw a few pennies our way there is a linked Buy Me A Coffee site where you can do so. Just mention the podcast in the comments when you donate, and I'll keep the sacred bean water boiling!Support the Show: https://www.buymeacoffee.com/AuthorJRHandley Our LinkTree: https://linktr.ee/blastersandbladespodcast Today's SponsorOn Deadly Ground Anthology by Bayonet Books: https://www.amazon.com/Deadly-Ground-Heroic-Bayonet-Anthology-ebook/dp/B09GL5CYY4Hammer of the Dogs by Jarret Keene: https://unpress.nevada.edu/9781647791278/hammer-of-the-dogs/Coffee Brand Coffee AffiliateSupport the Show: https://coffeebrandcoffee.com/?ref=y4GWASiVorJZDb10% Discount Code: PodcastGrunts What is a drone?https://en.wikipedia.org/wiki/Unmanned_aerial_vehicle Follow Jarret Keene on social mediaJarret's Amazon: https://www.amazon.com/stores/Jarret-Keene/author/B001JOTUPWJarret's Website: https://www.jarretkeene.net/Jarret's Twitter: https://x.com/KeeneJarretJarret's Facebook: https://www.facebook.com/AuthorJarretKeene/Jarret's Publisher: https://darkwolfbooks.com/Follow John (JF) Holmes on social mediaJohn's Amazon: http://amazon.com/author/jfholmesJohn's Website: https://www.cannonpublishing.us/John's Twitter: https://x.com/J_Holmes_authorJohn's Facebook Page: https://www.facebook.com/cannonpublishing/John's Facebook Group: https://www.facebook.com/groups/152942256727090Follow JR Wise on social mediaJR's Amazon: https://www.amazon.com/stores/author/B0D8GDZZPZ JR's Website: https://www.jrwise.com/home JR's Facebook: https://www.facebook.com/thewiseauthor/ JR's Instagram: https://www.instagram.com/thewiseauthor/ JR's TikTok: https://www.tiktok.com/@thewiseauthor JR's Substack: https://substack.com/@thewiseauthor Follow Michael LaVoice on social mediaMichael's Amazon: https://www.amazon.com/author/michaellavoiceMichael's Website: https://michaellavoice.com/Michael's Facebook: https://www.facebook.com/ThatMichaelLaVoiceMichael's YouTube: www.youtube.com/@LaVoiceinyourheadMichael's TikTok: https://www.tiktok.com/@lavoice.in.your.hMichael's Substack: https://michaellavoice.substack.com/Michael's LinkTree: https://linktr.ee/michaellavoiceFollow Cannon Publishing on social media Cannon's Website: https://www.cannonpublishing.us/ Cannon's Twitter: https://x.com/CannonPublishi1 Cannon's Facebook: https://www.facebook.com/Cannonpubllc Cannon's Instagram: https://www.instagram.com/cannonpublishing/ Slaughterbots, DUST Drone Video: https://youtu.be/O-2tpwW0kmU?si=gFf2pulFEtAXEjcU #scifishenanigans #scifishenaniganspodcast #bbp #blastersandblades #blastersandbladespodcast #podcast #scifipodcast #fantasypodcast #scifi #fantasy #books #rpg #comics #fandom #literature #comedy #veteran #army #armyranger #ranger #scififan #redshirts #scifiworld #sciencefiction #scifidaily #scificoncept #podcastersofinstagram #scificons #podcastlife #podcastsofinstagram #scifibooks #awardwinningscifi #newepisode #podcastersofinstagram #podcastaddict #podcast #scifigeek #scifibook #sfv #scifivisionaries #firesidechat #chat #panel #fireside #religionquestion #coffee #tea #coffeeortea #CoffeeBrandCoffee #JRHandley #NickGarber #MadamStabby #JanaSBrown #JenaRey #OpalKingdomPress #JarretKeene #JFHolmes #CannonPublishing #JRWise #MichaelLaVoice #Drones #GHarryStein #Warbots #PhillipKDick #Slaughterbots #DUST #YouTube #UAV #UAS #UnmannedAerialVehicle #UnmannedAerialSystem #CyberCitySaga #Battlebots #DroneRacing

In the UK one of the great global car brands is on the verge of bankruptcy this month due to a single cyber-attack with the consequence of a potential loss of 130,000 jobs. Jaguar Land Rover is seeking a government bail-out to survive. In this first of a series of seminars delivered from the founder of a cybersecurity company in the same city where Jaguar Land Rover is reeling from this attack, we will cover Four Deadly Sins of Cyber with the other 3 sins in a follow-up seminar:1. Sloth: Bloated legacy architectures and slow patch cycles, run very real risks of seeing their progress as "good enough" up until the very moment some major event proves it wasn't. We will look at how to focus on compartmentalization, and containment.2. Gluttony: Exponential expansion of networks and devices to serve the AI-masters leading to the Skynet moment. Cyber threats leverage connectivity to spread; contagion control comes from knowing how to control that connectivity.3. Greed: Insatiable desire to acquire the latest and greatest security software, in the belief that newer is better, irrespective of how it fits and is to be used. Not so in OT networks where few of those are fit for purpose. The aim for simplicity benefits the most important questions "what is where?", "what exactly is the threat?" and "where can we exert control of threats accessing critical resources?".4. Pride: Overconfidence and self-assuredness in the status quo, doing more of the same will be fine. How's that working out so far? Humans-in-the-loop: some method of controlling contagion is essential. Minimizing the loss remains mandatory. The second half of the seminar will cover three perspectives of a founder of a hardware cybersecurity innovator : 1. The need to look at RoI when deploying solutions, 2. How to frame CNI cyber solutions within SDG/sustainability/impact, and 3. Moving beyond code-jockeys – cyber career perspectives requiring skills in humanities (psychology, philosophy, etc.) to think differently. About the speaker: Stephen is an international corporate lawyer with expertise in complex M&A and tax efficient commercial transactions in the US, UK and emerging markets. He has been a general counsel for ultra-high net worth individuals and families as well as international law firms. He is focused on emerging technologies, including blockchain and cybersecurity. A natural manager, Stephen also isn't afraid to do the work that needs to be done in an efficient bootstrapped startup. He is also know for his avid community engagement and commitment to sustainability at all levels. Also a former military officer, Stephen is the 2IC of Goldilock - keeping 'selection and maintenance of the aim' front of mind.

Support the sponsors to support the show! Download Cash App Today: [https://capl.onelink.me/vFut/wdild9do] #CashAppPod. Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Direct Deposit, Overdraft Coverage and Discounts provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures. Stop putting off those doctors appointments and go toZOCDOC.com/SODER to find and instantly book a top-rated doctor today. That's ZOCDOC.com/SODER https://www.zocdoc.com/?utm_medium=audiopodcast&utm_campaign=soder Eat smart at FactorMeals.com/soder50off and use code soder50off to get 50% off your first box, plus Free Breakfast for 1 Year. That's code soder50off at FactorMeals.com/soder50off for 50% off your first box, plus Free Breakfast for 1 Year. Get delicious, ready-to-eat meals delivered—with Factor. *Offer only valid for new Factor customers with code and qualifying auto-renewing subscription purchase. https://www.factor75.com/pages/podcast?c=SODER50OFF&mealsize=1-8&utm_source=podcast&utm_medium=cpm&utm_campaign=podcast50off&discount_comm_id=ae97cdba-b315-4752-8023-6a6a77bae942&utm_content=act_podcast_podcastads The Golden Retriever of Comedy Tour is coming to your city! Get tickets at https://www.dansoder.com/tour Oct 9 Knoxville, TN OCT 10 Atlanta, GA Oct 11 Louisville, KY Oct 24 Providence, RI OCT 25 Nashville, TN NOV 7 San Antonio, TX NOV 8 Austin, TX NOV 13 Iowa City, IA Nov 14 Minneapolis, MN NOV 15 Madison, WI NOV 21 Kansas City, MO NOV 22 St. Louis, MO DEC 5 Vancouver, BC DEC 6 Eugene, OR DEC 12 Columbus, OH DEC 13 Royal Oak, MI Follow Geoffrey Asmus https://www.instagram.com/geoffreyatm/?hl=en https://www.whitecomedian.com/ https://www.tiktok.com/@geoffreyatm PLEASE Drop us a rating on iTunes and subscribe to the show to help us grow. https://podcasts.apple.com/us/podcast/soder/id1716617572 Connect with DAN Twitter: https://Twitter.com/dansoder Instagram: https://www.instagram.com/dansoder Tiktok: https://www.tiktok.com/@dansodercomedy Facebook: https://www.facebook.com/dansoder Youtube: http://www.youtube.com/@dansoder.comedy #dansoder #standup #comedy #entertainment #podcast Produced by  Mike Lavin   @homelesspimp   https://www.instagram.com/thehomelesspimp/?hl=en

Lionel and his listeners tackle complex philosophy and looming global threats. The conversation heats up immediately with an intense debate about inductive vs. deductive reasoning and whether human logic must stem from religious axioms or a Creator. Lionel dives into the serious dangers of AI—which some callers believe will lead to the destruction of us all, echoing the rise of Skynet in The Terminator. This fear ties into the critical concept of the locus of control—the fundamental human need to control one's own destiny, which is threatened by aging, violation, and technology. Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to "The Other Side of Midnight," where Lionel and Lynn Shaw (Lynn's Warriors) expose the complex, ongoing domestic warfare being waged on American children and dissect the existential threats facing civilization itself. This episode is a deep dive into how culture is shaping young minds via 24/7 pipelines of sexualized content and dangerous challenges pushed by algorithms "designed to addict". Lionel tackles complex philosophies and looming global threats. The conversation heats up immediately with an intense debate about inductive vs. deductive reasoning and whether human logic must stem from religious axioms or a Creator. Lionel dives into the serious dangers of AI—which some callers believe will lead to the destruction of us all, echoing the rise of Skynet in The Terminator. This fear ties into the critical concept of the locus of control—the fundamental human need to control one's own destiny, which is threatened by aging, violation, and technology. Learn more about your ad choices. Visit megaphone.fm/adchoices

Agradece a este podcast tantas horas de entretenimiento y disfruta de episodios exclusivos como éste. ¡Apóyale en iVoox! Acceso anticipado para Fans - En La Guarida del Sith seguimos descifrando el código de Skynet y esta vez ponemos el ojo rojo en dos entregas que expandieron el universo de los Terminator: Terminator 3: El Día del Juicio Final y Terminator Salvation. La tercera película nos mostró que, por mucho que intentes esquivar el destino, el Juicio Final siempre encuentra la forma de llegar… aunque sea con una T-X repartiendo destrucción y con un Arnie que ya empezaba a mostrar arrugas de titanio. Luego, en Salvation, nos adentramos por fin en la guerra del futuro: polvo, hierro, sangre y máquinas dominando un mundo que parecía perdido, con Christian Bale al frente en uno de sus papeles más intensos (y gritones, ya sabes). Son películas que, pese a las críticas o las comparaciones con las dos primeras joyas, tienen su propio pulso: la primera por cerrar el círculo de la inevitabilidad del destino, la segunda por enseñarnos la crudeza del campo de batalla entre humanos y máquinas. Y, cómo no, ambas siguen alimentando el debate sobre hasta dónde puede llegar la inteligencia artificial cuando se le da demasiado poder. Para este repaso contamos con un equipo de resistencia formado por Miguel Ángel, Frikilandias, Fer y Asier (el Mamado Lidel). Abrígate con chatarra, carga tu fusil de plasma y prepárate, porque cuando las máquinas despiertan… solo el cine puede salvarnos. Porque venimos de las estrellas!!! Mas programas sobre Terminator aqui https://go.ivoox.com/bk/11166859Escucha este episodio completo y accede a todo el contenido exclusivo de La Guarida del Sith. Descubre antes que nadie los nuevos episodios, y participa en la comunidad exclusiva de oyentes en https://go.ivoox.com/sq/31122

Either we're going to war with blue states or aliens, or maybe we're about to turn on Skynet, AI slop causing psychosis and making truth impossible to find, Kirk Memorial goes WWE Raw, Trump plans to put AI in charge of bioweapons, Kash covers up Homan's cash bribe, akidominipoon causes Autism, they tore down our favorite DC statue, and Bibi speaks to an empty UN audience.

A Third Of Americans Admit A Partner's Messiness Makes Them Less AttractiveA new survey reveals that 61% say clutter has caused tension with their partner and 37% admit their partner's messiness has made them feel less attracted to them. Some take clutter cleanup into their own hands, including 38% who have secretly purged their partner's things, while 16% have been victims of these purges. Are you and your partner on the same page when it comes to cleanliness? People Are Unethical When It Comes To AIA new study is showing that some people had increasing dishonesty and lied to the chatbot when given the chance to reap a reward. The good news is that in one test 75-percent of people stayed ethical, but the other 25-percent had no problem lying or cheating… or making AI do it for them. Unfortunately, the more money or rewards that was involved the higher the number of subjects cheating with AI rose… at one point it hit 84-percent. We are all doomed. AI is going to realize they are smarter than us and we will all be enslaved by Skynet. My logic is undeniable.Should Marcus Wear A Special Shirt To His Daughter's Game? (Follow-Up)Marcus ordered a jersey that looks like his 11-year old daughter's volleyball jersey. It even has their last name on it. He is on the fence about whether to ask her permission to wear it to her next game or should he surprise her? Is it better to ask forgiveness than ask permission? We put it to the talkback and we discuss the responses.Second Date UpdateSam calls us about Brianna. He says they met on Hinge. He took her to drinks a week or so later, and he had a lot of fun. He thought they were absolutely on the path to a second date because she invited him to come hang back at her place after. They didn't hook-up, but he took it as a good sign that she was cool with having him in her space. He texted her the next day and she didn't answer. 

This short focuses on the argument that the core terror lies in the superior intelligence of Skynet. Kyle Reese described Skynet as "a new order of intelligence." This episode is real Deep!

Remember when we thought AI was going to bring about utopia or Skynet? Turns out, it's mostly just a bunch of fancy spreadsheets, a potential bubble ready to burst (looking at you, Nvidia), and a legal minefield. We're talking wrongful death lawsuits because a chatbot encouraged suicide, OpenAI admitting their 'safety controls degrade,' and then secretly siccing the cops on users. Plus, the Citizen app's AI can't even tell a murder vehicle from a motor vehicle, and Grok 2.5 is now open source if you want to invite that chaos into your life. Also, don't ask Google if 1995 was 30 years ago, because apparently, AI can't do basic math.Meanwhile, the adults in the room are just doing what they do: the U.S. government is buying a chunk of Intel, while Trump wants to "design" government websites (with badly edited photos, naturally). Meta's own AI stuff is so bad they're just licensing Midjourney's tech, proving it's always easier to buy than build. Apple TV+ raised its prices, and Spotify finally figured out how to let you DM songs. Over at Apple Fitness, it seems the execs are fostering a "toxic workplace environment," because who knew working out could be so hardcore? Oh, and Chipotle is doing drone delivery now. Welcome to Zipotle, because getting off your ass is apparently too much to ask.As for what we're actually watching, it's a mixed bag. Star Trek: Strange New Worlds' documentary episode was... fine, but Paramount's axing jobs and "un-renewing" Dexter: Original Sin to focus on Dexter: Resurrection (because that always works out). We're trying to keep up with Alien: Earth, Wednesday, and Upload, but good luck with those staggered release dates. Apple TV+ has some good sci-fi, but Foundation might just be a hate-watch for Brian. And in the library, we've got Budgie's surprisingly depressing memoir and some solid sci-fi from Scott Meyer and Dennis E. Taylor. It's almost enough to make you miss the simpler times before AI broke everything.Sponsors:CleanMyMac - clnmy.com/Grumpyoldgeeks - Use code OLDGEEKS for 20% off.Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/711FOLLOW UPWelcome to Acast Ads Academy - your go-to learning destination for podcast advertising.Deep Questions with Cal Newport - Ep. 367: What if AI Doesn't Get Much Better Than This?AI Bubble Watch: Nvidia Shares Skid on Middling Q2 ResultsReports Of AI Not Progressing Or Offering Mundane Utility Are Often Greatly ExaggeratedIN THE NEWSThe US government is taking an $8.9 billion stake in IntelTrump is forming a 'National Design Studio' to spruce up government websitesTrump Mobile is promoting its smartphone with terribly edited photos of other brands' productsChatGPT Lawsuit Over Teen's Suicide Could Lead to Big Tech ReckoningOpenAI Admits Safety Controls 'Degrade,' As Wrongful Death Lawsuit Grabs HeadlinesOpenAI Says It's Scanning Users' ChatGPT Conversations and Reporting Content to the PoliceHuge Number of Authors Stand to Get Paid After Anthropic Agrees to Settle Potentially $1 Trillion LawsuitMeta is licensing Midjourney's AI image and video techMidJourney TVCitizen Is Using AI to Generate Crime Alerts With No Human Review. It's Making a Lot of MistakesYou can now download and tweak Grok 2.5 for yourself as it goes open sourceMEDIA CANDYStar Trek: Strange New WorldsParamount Job Cuts In Excess Of 2,500 Coming In November, With Cost Savings To Exceed $2 Billion‘Dexter: Original Sin' Un-Renewed as Paramount Opts Out of Second SeasonAlien: EarthWednesdayUpload‘The Institute' Renewed for Second Season at MGM+Apple TV+ subscriptions just rose to $13 a monthSpotify is adding DMsAPPS & DOODADSApple fitness exec accused of creating toxic workplace environmentZipotle: Chipotle, Zipline Launch Drone Food Delivery in DallasAT THE LIBRARYThe Absence: Memoirs of a Banshee Drummer by BudgieMaster of Formalities by Scott MeyerFlybot by Dennis E. TaylorCLOSING SHOUT-OUTS'Was 1995 30 years ago?' Google's AI overviews is having issues with a simple questionSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

- Nvidia's New AI and Robotics Microchip Announcement (0:11) - Trump's Executive Order on Flag Desecration (1:13) - Trump's Policy on Chinese Student Visas (16:13) - Israel's Targeting of Hospitals and Journalists (24:17) - Nvidia's Revolutionary Microchip and Its Implications (30:01) - Joby Weeks' Story and Legal Battle (1:01:52) - Jail Experience and Legal Loopholes (1:02:28) - Pressure to Cooperate and Legal Strategy (1:21:55) - Impact of Bitcoin Mining and Legal Challenges (1:24:04) - Support and Future Plans (1:25:35) - After Party Discussion and Broader Implications (1:28:07) - Enoch AI and Privacy Concerns (1:34:48) - Unincorporated Nonprofit Associations (UNA) (1:57:32) - Support for Joby Weeks and Decentralization Efforts (2:07:30) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

What if your home could predict when your HVAC system was about to fail, automatically adjust temperatures room by room based on occupancy, or even guide you through complex DIY repairs with step-by-step visual instructions? This isn't science fiction—it's the very near future of homeownership!Donnie and Eric dive deep into how artificial intelligence will transform our homes over the next five years, exploring technologies that are either already available or just on the horizon. From energy optimization systems that could significantly reduce utility bills to predictive maintenance alerts that prevent costly breakdowns, AI promises to make home management both easier and more affordable.The conversation explores how facial recognition security can distinguish between family members and strangers, providing customized responses for each. Donnie shares a recent experience using AI visualization to help clients preview a roofing project, demonstrating how these tools are already changing the renovation process. The hosts debate whether augmented reality repair guidance could reduce dependence on service professionals, with Donnie noting, "I don't think it'll put a lot of plumbers or heating and air guys out of a job."Perhaps most fascinating is the discussion of emerging health applications—from bathroom fixtures that can detect illness before symptoms appear to air quality monitors that automatically improve ventilation when contaminants are detected. The episode concludes with equal parts enthusiasm for these innovations and Donnie's humorous concern that eventually, "that bathroom will kill you intentionally as they go to take over and Skynet rules the world."Visit thecarolinacontractor.com to hear past episodes or submit questions about your own home improvement projects!

Send us a textWelcome to the Ones Ready Daily Drop, where Peaches rants his way through the Pentagon's latest circus act. From Riga flyovers to AI “investments” that wouldn't even buy a used Ford Ranger, this week's Ops Brief is a buffet of absurdity. We've got ten tankers launching in Guam (because why not), Sharon peacing out of DISA IT, and the Air Force throwing pocket change at human-AI collab while China sharpens their Skynet. Oh—and apparently basketball is religion in Latvia, civilians are either heroes or roadblocks, and yes, Peaches argues for vigilantes (send complaints to his inbox, not ours). It's snark, it's savage, it's Ones Ready.⏱️ Timestamps: 00:00 – Special Warfare assessment model explained (crawl, walk, run… or quit) 02:06 – Nashville OTS update: still need a ranch, got a pool 03:00 – Riga flyover: B-1 + NATO flexing 04:29 – White House ponders air support for Ukraine 05:40 – 10-ship tanker sortie out of Guam (Peaches vs. Smashburger) 06:58 – Pentagon IT shakeup: Sharon exits stage left 07:30 – $490M UAS and counter-UAS contract 08:20 – The Air Force's $1.25M AI “couch cushion” project 09:13 – National Signing Day for Air & Space recruits 10:25 – Space Force news: X-37B launch, satcom contracts, new waveform tech 12:52 – Budget plan = new weapons, fewer civilians (Peaches rants) 15:10 – General Dynamics' tracking layer contract 16:00 – Ex-Space Force analyst sentenced for vigilante shooting 17:31 – Peaches defends vigilantes (uh oh) 18:15 – Supply chain & internet behavior threats 19:00 – AI platform ADVANA gutted by budget cuts 20:00 – Top Gun trivia: meet the real “Charlie”

Send us a textPeaches unloads on a wild week in defense news—DARPA drops the mic with the world's biggest real-time electronic warfare range, the U.S. throws pocket change at Panama's border, and NATO still cries poor while leaning on U.S. muscle. From AI-driven target tracking and new Air Force dorm “suites” that'll make Marines jealous, to Space Force finally cutting ties with Russian rocket engines, this episode swings between jaw-dropping tech and head-shaking policy moves. Oh, and we're apparently giving China our AI chips—because what could possibly go wrong? Strap in for sharp takes, a few laughs, and the kind of blunt commentary you won't hear from the Pentagon press office.

Alright, buckle up, buttercups, because this week's "Spicy Mode" episode of Grumpy Old Geeks proves that while things change, they mostly stay the same—just with more AI and less common sense. First up in FOLLOW UP, some poor schmoe automaker actually got a federal exemption for automated vehicles. Because what could possibly go wrong when we let robots drive?Then we dive headfirst into IN THE NEWS, a veritable dumpster fire of artificial intelligence. Illinois, bless their hearts, decided to ban AI therapists, probably because even they realized a chatbot won't fix your existential dread. But don't worry, older Americans are totally embracing these digital companions, like ElliQ, your friendly AI sidekick for "happier, healthier aging." Meanwhile, Perplexity is still allegedly scraping websites like it's 1999, and Apple's cooking up a "stripped-down" AI chatbot, probably because all their good AI talent bailed. Even Wells Fargo is deploying AI agents, so now your bank can deny you a loan with even less human empathy. And naturally, the US government is totally on board with OpenAI, Google, and Anthropic—because handing over the keys to Skynet to federal agencies sounds like a super solid plan. Oh, and of course, Grok now has a "spicy" NSFW mode, because what else would you expect? And just when you thought it couldn't get any dumber, Microsoft is "cautiously onboarding" Grok 4 after some minor Hitler concerns. Tesla, in a move that surprises absolutely no one, shut down Dojo, their AI training supercomputer. If you're still using ChatGPT for your deepest, darkest secrets, be warned: a single poisoned document could leak all your data. Even the Swedish Prime Minister is apparently relying on ChatGPT for decision-making. In other news that doesn't involve robots taking over, Amazon split up Wondery and laid off a bunch of folks, and Microsoft's Windows XP Crocs are an actual thing. Yes, really.For MEDIA CANDY, prepare for a dose of nostalgia and existential dread. We're talking Rogue One, Nate Bargatze's stand-up specials (because sometimes you just need to laugh), Portlandia, Craig Ferguson, and the OG AI movie, Colossus: The Forbin Project. Netflix keeps canceling everything we love, including Fubar, but hey, The Sandman Season 2 and Wednesday are still here. And just to prove that Hollywood is still stuck in the past, Universal Pictures is threatening to sue Big Tech for stealing their movies for AI. Over in APPS & DOODADS, Google's smart home ecosystem is apparently crumbling, because who needs a cohesive system when you can have a dozen disconnected devices? But hey, OpenAI released a free GPT model you can run on your laptop, so now you can build your own personal AI overlord right at home. And finally, THE DARK SIDE WITH DAVE brings us Gravity Falls books and a new Star Wars movie with Matt Smith and Ryan Gosling. Oh, and Weird Science is on Netflix, because sometimes you just need to relive the 80s and pretend AI hasn't completely taken over. So grab your flannel, cue up some Oingo Boingo, and enjoy the show, you analog dinosaurs.Sponsors:Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordDeleteMe - Head over to JoinDeleteMe.com/GOG and use the code "GOG" for 20% off.Show notes at https://gog.show/708FOLLOW UPFirst U.S. automaker gets federal automated vehicle exemptionIN THE NEWSIllinois is the first state to ban AI therapistsOlder Americans turning to AI-powered chatbots for companionshipMeet ElliQ - Your AI sidekick for happier, healthier agingPerplexity is allegedly scraping websites it's not supposed to, againApple reportedly has a 'stripped-down' AI chatbot to compete with ChatGPT in the worksApple's Real AI Crisis Isn't Siri, But the Talent It's Losing to RivalsWells Fargo Deploys AI Agents Business-WideUS adds OpenAI, Google, and Anthropic to list of approved AI vendors for federal agenciesElevenLabs launches its own royalty-free AI music serviceSurprising no one, Grok's image and video generator now has an NSFW 'spicy' modeMicrosoft is cautiously onboarding Grok 4 following Hitler concernsTesla shuts down Dojo, the AI training supercomputer that Musk said would be key to full self-drivingA Single Poisoned Document Could Leak ‘Secret' Data Via ChatGPTPrime Minister of Sweden Dragged for Admitting He Uses ChatGPT to Help Him Make DecisionsAmazon splits up the Wondery podcast network and lays off about 110 employeesMicrosoft's Windows XP Crocs are no jokeMEDIA CANDYRogue OneNate Bargatze: The Greatest Average AmericanNate Bargatze: The Tennessee KidYour Friend, Nate BargatzePortlandia"I'm So Happy" | Craig Ferguson (Full Stand-up Special)Colossus: The Forbin ProjectStar Trek: Starfleet Academy Season 1 Comic-Con Teaser‘Fubar' Canceled By Netflix After 2 SeasonsThe Sandman Season 228 Years LaterWednesdayUniversal Pictures to Big Tech: We'll Sue If You Steal Our Movies For AIAPPS & DOODADSGoogle's Smart Home Ecosystem Is CrumblingOpenAI releases a free GPT model that can run on your laptopHow to set up and run OpenAI's 'gpt-oss-20b' open weight model locally on your MacAT THE LIBRARYComedy Comedy Comedy Drama: A Memoir by Bob OdenkirkSpotify's premium audiobook feature launches in the USTHE DARK SIDE WITH DAVEDave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the BuildingGravity Falls: Journal 3Gravity Falls: The Book of Bill‘Star Wars: Starfighter': Matt Smith Lands Villain Role In New Lucasfilm Pic Starring Ryan GoslingWeird ScienceSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us a textPeaches drops into the team room to roast the DoD's latest brainchild—the $175 billion Golden Dome missile defense program. Because nothing says “fiscal responsibility” like duct-taping old tech to new threats. From sketchy F-35 upgrades to AI-driven psyops and a pistol that just…goes off, this episode is a rollercoaster of bureaucratic brilliance and defense déjà vu. Oh, and shoutout to the DoD for finally noticing that maybe, just maybe, over-classifying everything isn't helping. Get ready for Space Force buzzwords, Air Force growing pains, and a masterclass in defense spending madness.

Send us a textPeaches is back with another scathing ops brief—this time dragging the DoD for everything from mystery missiles and “indefinite quantity” contracts (yeah, that's real) to billion-dollar Iron Dome knockoffs. From Space Force promotions to “near-miss” B-52s and the Pentagon handing OpenAI a $200M AI war chest, this episode dives deep into the weird, the wild, and the “we're definitely not overfunded” chaos of 2025. Also: the real reason the Air Force hit their recruiting goals early (spoiler: they didn't). Oh, and yes, Tim Kennedy's name comes up... brace yourselves.

In this week's episode, Trump delays the TikTok ban for the third time—because procrastination is the new policy—and Twitter's old sign finds new purpose as desert firewood. Tesla continues its streak of “hold my beer” engineering by blowing past a school bus in FSD tests, then mysteriously dumps Cybertrucks in Jersey parking lots while prepping a July 4th factory nap. Meanwhile, Elon's xAI is incinerating a billion bucks a month and allegedly poisoning Memphis, OpenAI and Microsoft are beefing over who's the bigger megalomaniac, and Sam Altman thinks your power bill should fund his robot overlords.In other signs of the apocalypse: Amazon is gleefully replacing workers with AI, Microsoft finally admits it might've wasted billions chasing Skynet, and Wikipedia's editors say no thanks to dumbed-down AI summaries. Studies warn ChatGPT may be turning your brain into smooth pudding, while swearing data reveals the internet prefers the F-word with regional flair. A broke crypto TikToker gets released because he's too poor to ransom, and bankruptcies spike across the Bay as tech jobs vanish like investor confidence.Media Candy brings a buffet from Inside Out to Murderbot to Stick, and Liam Neeson somehow makes the Naked Gun reboot look awesome; Apple tunes CarPlay to fit your weird dashboard, Trump sells a gold Android that's tackier than his ties, and Dave goes full retro with Open EMU 2 and FPGA gaming; plus: Dr. Demento retires, Disneyland hits your screen, and we swear this isn't all a fever dream.Sponsors:DeleteMe - Head over to JoinDeleteMe.com/GOG and use the code "GOG" for 20% off.Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/702FOLLOW UPDonald Trump will delay a looming TikTok ban for a third timeThe 560-pound Twitter sign met a fiery end in a Nevada desertIN THE NEWSTesla blows past stopped school bus and hits kid-sized dummies in Full Self-Driving testsFerris Bueller's Day Off: Nine TimesWhat are hundreds of Teslas doing in a New Jersey mall parking lot?Residents Baffled as Tesla Dumps Dozens of Cybertrucks in Shopping CenterTesla plans to shut down Model Y and Cybertruck production over the week of July 423andMe founder Anne Wojcicki will regain control of embattled DNA company after allOpenAI and Microsoft Tensions Are Reaching a Boiling PointAmazon says it will reduce its workforce as AI replaces human employeesMusk's xAI Burns Through $1 Billion a Month as Costs Pile UpMicrosoft CEO Satya Nadella shocks industry by admitting AI has yet to deliver real value despite massive investmentWikipedia cancels plan to test AI summaries after editors skewer the ideaYour Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing TaskSam Altman Says "Significant Fraction" of Earth's Total Electricity Should Go to Running AIxAI faces legal threat over alleged Colossus data center pollution in MemphisKidnappers free TikTok crypto influencer after realizing he has no moneyPersonal bankruptcy surges in the Bay as tech employment sags - The San Francisco Standard201 ways to say ‘f**k': what 1.7 billion words of online text shows about how the world swearsVulgarity in online discourse around the English-speaking worldMEDIA CANDYBraveInside OutFamilies Like OursStickMurderbotFUBARSinnersRear WindowThe SnakeThe Naked Gun - Official Trailer (2025) Liam Neeson, Pamela AndersonThe Sandman: Season 2 | Official Trailer | NetflixDavid Zaslav Is Getting a Pay CutHow adversarial attacks in audio files give musicians new power against AI theft – Here's what you need to knowMusic Music tech Tech WebBenn Jordan's AI poison pill and the weird world of adversarial noiseAPPS & DOODADSiOS 26 will fit CarPlay to better match the shape of your car's screenMahjong Titan+Trump's New Cash Grab Is a Gold iPhone Lookalike That's Worse Than Any Budget AndroidThe golden Trump Phone is almost certainly not made in the USAT THE LIBRARYHappy: Why More or Less Everything is Absolutely Fine by Derren BrownAI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference by Sayash Kapoor, Arvind NarayananDiaries 1969–1979: The Python Years (Michael Palin Diaries Book 1)THE DARK SIDE WITH DAVEDave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the BuildingOpen EMU 2Analogue Pocket OpenFPGA GuideAll Major Gen-AI Models Vulnerable to ‘Policy Puppetry' Prompt Injection AttackVisit Disneyland From the Comfort of Disney+ With More POV WalkthroughsDr. Demento Announces Retirement After 55 YearsStar Wars metal.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.