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I invited Atalia Horenshtien to unpack a topic many leaders are wrestling with right now. Everyone is talking about AI agents, yet most teams are still living with rule based bots, brittle scripts, and a fair bit of anxiety about handing decisions to software. Atalia has lived through the full arc, from early machine learning and automated pipelines to today's agent frameworks inside large enterprises. She is an AI and data strategist, a former data scientist and software engineer, and has just joined Hakoda, an IBM company, to help global brands move from experiments to outcomes. The timing matters. She starts on the 18th, and this conversation captures how she thinks about responsible progress at exactly the moment she steps into that new role. Here's the thing. Words like autonomy sound glamorous until an agent faces a messy real world task. Atalia draws a clear line between scripted bots and agents with goals, memory, and the ability to learn from feedback. Her advice is refreshingly grounded. Start internal where you can observe behavior. Put human in the loop review where it counts. Use role based access rather than feeding an LLM everything you own. Build an observability layer so you can see what the model did, why it did it, and what it cost. We also get into measurements that matter. Time saved, cycle time reduction, adoption, before and after comparisons, and a sober look at LLM costs against any reduction in FTE hours. She shares how custom cost tracking for agents prevents surprises, and why version one should ship even if it is imperfect. Culture shows up as a recurring theme. Leaders need to talk openly about reskilling, coach managers through change, and invite teams to be co creators. Her story about Hakoda's internal AI Lab is a good example. What began as an engineer's idea for ETL schema matching grew into agent powered tools that won a CIO 100 award and now help deliver faster, better outcomes for clients. There are lighter moments too. Atalia explains how she taught an ex NFL player the basics of time series forecasting using football tactics. Then she takes us behind the scenes with McLaren Racing, where data and strategy collide on the F1 circuit, and admits she has become a committed fan because of that work. If you want a practical playbook for moving from shiny demos to dependable agents, this episode will help you think clearly about scope, safeguards, and speed. Connect with Atalia on LinkedIn, explore Hakoda's work at hakoda.io, and then tell me how you plan to measure your first agent's value. ********* Visit the Sponsor of Tech Talks Network: Land your first job in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
Enterprise SEO teams struggle with proper crawler management protocols. Duane Forrester, former Bing executive and founder of UnboundAnswers.com, clarifies critical misconceptions about bot control mechanisms that impact AI training data access. The discussion covers why LLM.txt files are ineffective compared to established robots.txt protocols, proper syntax implementation for crawler directives, and strategic considerations for allowing AI system access to enterprise content.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Braden Dennis stops by to discuss building Fiscal.ai. Long time show listeners may remember Stratosphere.io. That was "Era 1" of the company. Today, Braden is working on "Era 3" of the company; Fiscal.ai.Braden talks about building a product for himself, to acquiring customers, to early LLM adoption, and finally to competing with FactSet. Fiscal.ai recently raised $10mm in a Series A round led by Portage and Social Leverage. We hope you enjoy the conversation. It's a cool story. ALSO, if you use the affiliate link fiscal.ai/brew, you will automatically get 2 weeks of Fiscal Pro for Free and if you find that you want to upgrade, my link will get you 15% off any paid plans. Thank you for using the affiliate link, I appreciate the support. -Bill
This week's episode arrives as Adam and Cristian are gearing up for Fal.Con, CrowdStrike's annual event taking place next week in Las Vegas. They'll be recording a live episode on some fascinating LLM research presented at the show, so stay tuned for that in a couple of weeks. Amid their prep, they took the time to sit down for a conversation starting with a simple prompt: What are today's security leaders and practitioners talking about? Their discussion sheds light on the industries hardest hit by nation-state and eCrime activity and explores why some sectors, like technology and telecommunications, are seeing a sharp spike in targeted intrusions while others are facing an increase in cybercrime. Tune in to learn about shifts in Chinese cyber activity, what happens when an adversary sees another adversary in a target environment, and whether modern tech innovations will drive changes in cyber espionage.
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
Google's AI overviews now appear in over 50% of search results. Duane Forrester, founder and CEO of UnboundAnswers.com and former Microsoft search engine insider, brings two decades of industry perspective to navigating this transformation. The discussion covers essential skill development for AI-era SEO including structured data mastery for LLM consumption, chunking content strategies that balance machine readability with human engagement, and critical evaluation frameworks for emerging AI SEO tools that prioritize trustworthiness over feature quantity.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Cybersecurity Today: Microsoft Patches, Canadian Data Breach, NVIDIA's New Tool, and a Senator's Call for Investigation In this episode of Cybersecurity Today, host Jim Love discusses Microsoft's September patch update addressing 81 security flaws, including two zero-day vulnerabilities. Highlights include a data breach in Canada affecting email and phone numbers, NVIDIA's release of an open-source LLM vulnerability scanner, and US Senator Ron Wyden's call for the FTC to investigate Microsoft's security practices. The episode also clears up the mystery behind the bricked SSDs after a Windows 11 update. 00:00 Microsoft Patches 81 Flaws 02:29 Canadian Government Data Breach 03:38 NVIDIA's Garrick: AI Vulnerability Scanner 05:01 Senator Urges FTC to Probe Microsoft 06:52 Mystery of Bricked SSDs Solved 08:24 Conclusion and Upcoming Interview
Bizzics is a combination of physics and business. Our guest Chip Higgns is the author of The Bizzics Way. He's a business strategist, leadership coach, and former banking executive with over 35 years of experience helping small business owners.Summary of the PodcastExplaining the "Bizzics Way" conceptChip explains that "Bizzics" refers to applying the physics law of momentum to business. He was inspired by the idea of momentum being crucial in business, and worked with a physicist friend to better understand the underlying physics principles.Momentum, energy, and velocity in businessChip delves into how the concepts of mass, velocity, and energy relate to business. He discusses the importance of entrepreneurial energy and passion, as well as the need to define clear direction, distance, and timeframes (velocity). He also explains how "mass" in business relates to the density and uniqueness of the value proposition.Scaling coaching through AIChip shares that he has developed an AI-powered coaching platform called "Expert Loop" to make his expertise more accessible and scalable to small businesses. He explains how the AI is trained on his book content to provide on-demand guidance and planning support.Recap and closingThe hosts, Graham and Kevin, recap the key insights from the conversation, particularly around Chip's innovative approach to scaling coaching through AI. They express appreciation for Chip's perspective and the valuable discussion.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled ten years ago to help business owners and marketers market to affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, where he introduces AI Agents that you can talk to, that increase engagement, dwell time, leads and conversions. Now, Graham is offering Answer Engine Optimisation that gets you ready to be found by LLM search.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com
Do we need more AI hallucinations? In episode 72 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Chris Hay and Skyler Speakman to talk about OpenAI's paper, Why language models hallucinate. Next, in March 2025, Anthropic's CEO, Dario Amodei, predicted that AI will be writing 90% of code for software developers. How is that turning out? Then, is AI making the job market hell? Finally, you can now run an LLM on a circuit board the size of a business card. Where does that take us? All that and more on today's Mixture of Experts. 00:00 – Intro 1:18 – Oracle, data center construction, iPhone 17 and tech saint 3:03 – Why language models hallucinate 15:59 – Dario Amodei's prediction 22:45 – Job market is hell 29:57 – LLM on a business card The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
In this episode, we're joined by Ruan Smit, SEO & Growth leader at Sendcloud, the leading shipping platform helping 30,000+ e-commerce brands connect carriers, print labels, and turn delivery into a competitive advantage. With a blend of technical SEO, AI know-how, and real-world growth experience across agencies, e-commerce, and SaaS, Ruan shares what actually moves the needle when AI is rewriting search. We spoke with Ruan about how to gain visibility when AI Overviews and LLMs answer first, and how Sendcloud structures content, tech, and brand citations to appear where customers look—without losing focus on the pages that drive revenue. Here are some of the key questions we address: How do you prioritize GEO (Generative Engine Optimization) without sacrificing the SEO “money pages” that pay the bills? What specific page structures (summaries, headings, FAQs, schema) increase your chances of appearing in Google's AI Overview? Where should teams invest to earn brand citations LLMs trust, and how do you do it without sounding salesy? When does domain consolidation outperform country-by-country sites, and what are the must-do steps for clean migrations and 301s? How do you track performance in a zero-click world—what proxies (impressions, BOFU outcomes, referrers) matter most? What's the practical workflow for “reverse-engineering” AI Overviews to refresh content that actually ranks and converts? Are videos still worth it for discovery, and why is hosting on YouTube more important than ever for LLM sourcing?
The AI Breakdown: Daily Artificial Intelligence News and Discussions
Wall Street just delivered one of the strongest signals yet that the AI boom is real and accelerating. Oracle revealed a record-breaking $300B cloud deal with OpenAI, sending its stock soaring and reshaping the narrative around AI infrastructure. In today's episode, we break down why this moment marks the end of the AI skepticism cycle, explore how new coding agents are pushing the frontier of autonomy, and highlight breakthrough research on solving LLM randomness. Together, these stories show why AI's future is no longer in question—it's already here.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. https://www.kpmg.us/AIpodcastsBlitzy.com - Go to https://blitzy.com/ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/Vanta - Simplify compliance - https://vanta.com/nlwThe Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai
ROI Podcast—the business show that doubles as a comedy roast—returns with Law Smith and Eric Readinger riffing on TikTok, attention spans, and why horoscopes are basically astrology's version of fantasy football. This episode tackles: TikTok's addictive algorithm vs. China's “education-only” version. Why social media feels like narco-terrorism for your brain. The trader who used TikTok comments to turn $84K into $42M. Comedy, drag shows, group dances, and why dudes just don't vibe with them. A DIY college fantasy football league idea that could flip into billions. If you like your business podcasts with more laughs than LinkedIn posts, hit subscribe and join the world's #1 comedy-business podcast. Eric Readinger 0:02 Okey, dokey, Law Smith 0:06 Whoo, yeah, ah, I wear, I wear my DMX goggles, yeah. I mean, this is, like, the why is that? DMX, no, but it's like a guy. This is Malibu's Most Wanted. That's what this guy sounds like. Eric Readinger 0:27 Yeah, maybe I don't know. He's not real. So can to be whatever you want him to be in your mind, Law Smith 0:32 so he is. So I'm right, yes, you're right. I'm gonna do this like a chick, yeah, see, I'm right, Eric Readinger 0:36 right, because I can't be proven wrong. I'm right. Law Smith 0:40 I was telling a friend, it made me underthink, like dudes, it's much, much better Eric Readinger 0:46 life. Uh huh, yeah, not everything you think is right. Law Smith 0:52 Well before this turns into no man from Eric Readinger 0:55 your children's club. Law Smith 0:58 You know, we can only call that shit out because we empathize with that play. Welcome to ROI podcast, because this is the number one comedy business podcast in the world. Sometimes we talk about emo stuff like Eric Readinger 1:12 that. Oh yeah. Are we gonna get into it? Nah. Law Smith 1:15 Oh, come on. No, no, no, it's too fresh. Too fresh, okay, fresh wounds. But I did. Eric Readinger 1:23 I'm gonna go ahead and just point out the echo Enos. That's my bad when we rip Law Smith 1:28 it up the floor in the studio, fix it in post. We got some tools. Well, hey, man, we should tell everybody, because I like giving resources out. I'm the Suze Orman of digital resources. That's what I want to be. What? Yeah, Adobe has a podcast Audio Enhancer. It'll take out background noise. It'll take out we have a little buzz I could hear right now that we had two episodes ago or an episode ago that it took outably your headphone. No, when I listened to it later. One of the previous episodes we Eric Readinger 2:02 did. Okay, this is definitely the kind of entertainment people want to hear. Well, maybe Law Smith 2:06 I'm just saying, if you have audio you need to clean up. You can, it's for podcasts, they say. But you could probably use it. If you had audio you needed to clean up, like in a loud room or a conference or, you know, any kind of meeting or something, you can right? But I just like the easy, you know, drag and drop it in, boom, come back out. Five minutes. Eric Readinger 2:24 You're good, yeah, AI is great, loyal part. Law Smith 2:29 But like it, it AI, the LLM, you know, those language learning models of like Chad, GBT and Claude and perplexity, large Eric Readinger 2:39 language, excuse me, what did I say? Learning? Used to Law Smith 2:45 whatever rewind I got. There's too many acronyms in my head or abbreviations, but it's one of those things where it it's a whole to do, like you have to know, how do you hold to do? What happens was. And I think everybody's having this issue, I kind of try to push through it, because I know that outcomes of what you want to get out of it, like, organize this document for me. Like, instead of me having to do it, that's great. That's like, I love that part of it, right? And that's intuitive. But there's some things that aren't intuitive on how to talk to it. Yeah, nicely, you can be mean to it. I don't know if it affects it. Eric Readinger 3:29 Well, not yet. You go on their list, their robot Law Smith 3:33 list, that's fair. So you know, I would just say I like the easy things like that. Like, for this podcast I'll use, there will be a word counter that sem rush, I think, has out there that's just its own website. You can drop a whole paragraph in. It'll pull the keywords for you if you want that are most important. It'll, you know, do stuff like that. I like those kind of little tools. And if we do anything on the show, if we're if we add any value besides our guests wisdom that come on the show, we show you how to be a tool. It's some resources to be a tool. Perfect Circle, exactly. Good album, yeah. You know, I don't know if I want to get into the fantasy football stuff. Eric Readinger 4:19 I know. I mean, I thought we were gonna talk about something else, I'll tease it. Law Smith 4:23 Well, we were, you and I off air. Were bitching about tick tock and how I don't think either of us really like Eric Readinger 4:30 it. I don't ever go Law Smith 4:32 into talk well, I don't, I don't like I don't like reels, I don't like show. I don't unless I'm like, going to Eric Readinger 4:39 look for something, right, right? It's not, we weren't talking just about Tiktok what? Law Smith 4:43 But I mean, Facebook reels, when I open those apps, it's like, abrasive with the video. You know? It's like, oh, sometimes the sound is like, way high, like an old TV commercial where the audio is like, doesn't that still happens, right? And it's so. Well, it's like, when I open up those apps and it goes right to video, it's like, oh, and I'm usually already listening to something, right? I've realized that's on me a little bit as far as like, I don't, I'm not people send me videos. I'm like, I'll get to that later. And I just never, yeah, I know it a lot of the time, but that's not because I didn't want to watch it. And I do like that. People will send me stuff. They go, Oh, they're thinking of you. They go, Oh, it's Eric Readinger 5:28 nice in general, to me, the interface is just a pain in the ass. Did you see the videos I sent you? Oh, you sent more than one. Oh, my God, gotta back out, because I go back in like, Law Smith 5:38 it's just stupid, and then I might be a comedy snob at the same time, exactly. And so that Eric Readinger 5:44 isn't funny. Isn't funny. Why are you sending me out? And then Law Smith 5:47 so I was kind of thinking about it, when we talked about it, like last week, just kind of shooting the shit. And I was like, Why does Tiktok kind of annoy the shit out of me? And it part of it. Once I found out that the Chinese algorithm for their people is wildly different than the one over here. I think that was my trigger point to go. I don't want to be on that. That. And at the same time, my mom, friends that are like our age in their 40s, they were telling me they're wasting two hours a night on there every night, and they're like, I'm so addicted. Like, when it was really popping. Like, you know, 2021 I don't know 22 we're not the first movers on this, but the laggard, older people, yeah, and so, like, I was like, I want that. I don't have enough time. I feel like, but you're Eric Readinger 6:41 acting like the Tick Tock algorithm is that much worse than any other social media algorithm. They're all doing the same thing. Law Smith 6:47 Well, I think they do they I think they do it the best it seems like. Because it seems like, yeah, maybe I don't know, man, just from general chatter I hear in my life. But also, when I'm listening, I listen to a dick loader comedy podcast all day, because, you know, marketing, marketing work is like, once you know how to do it, you can kind of be on autopilot a little bit. And so it's one of those things where the chatter is like, it is they have, they got it dialed in, they got you screwed in, buddy. And that's, that's, that's really, they're the best at Eric Readinger 7:27 it that. But it's like we're on neither of us are on it. To know if it's better or worse. I'm on it enough. I Oh, here we go. Now we get the truth. Law Smith 7:36 Well, I need to know, well, marketing, we're in marketing, so it's like, I need to know enough, right? And I need to know a user perspective of it, right? I can't. I usually just try to stick to, like, outside research, well, yeah. But I'm always like, I like, put it away, like, it's like, a Ebola virus or something, okay, you know, I'm like, Oh, I don't want, that's good. That's really, yeah, but I also like timely reference. So the thing was like, Yeah, it's like, the Black Plague. And so I think, like, when? But really when it was like, okay, the algorithm for China and the Chinese people definitely got some pro China stuff going on there, right? That's, that's just good marketing within the country, right? Educational outside of that, it's only educational stuff. Eric Readinger 8:29 Now here, what is the education about, Law Smith 8:31 like, science and like things of that nature, probably revisionist history, I'm sure. But I'm sure it has a whole glaze of propaganda over it, yeah, but at the same time they're doing that, but over here, they're like, let these dummies get dumber. That's what. That's my like, Eric Readinger 8:50 yeah, I don't think that's a wild No, that's not wild at all. I agree with you, and Law Smith 8:56 I compare it to Narco terrorism of like, you know, they say there's a lot of fentanyl that gives through Mexico from other countries to go up, up to the United States to kind of hurt, yeah, oh, no. This is, and that's happened on the Russian Eric Readinger 9:12 border without better than Narco terrorism, bro. Well, it's it. This is the Idiocracy. This is Lee, yeah, it's legal, right? Law Smith 9:19 And we and another bigger if we back, really back out, like the the future where everything takes over, like, you know, all agency is lost for people, right? And at 1984 it was about like, everything coming at people to take over society. We're willingly giving it away with our time data, you know? Eric Readinger 9:45 Yeah, we just keep letting them do whatever. You know, it's man. It sucks. So older I get, the more I'm like man they are. They are probably trying to control Law Smith 9:55 us. Look, it's not all bad. But as our buddy in the. Uh, all star guest, Dean Akers, who's, come on, he's, I'm surprised when we had breakfast the other day, he didn't bring it up. But because I think he's brought it up every breakfast we've had the last, you know, two years, he goes, You know what the new cigarettes are? And I'm like, what? And he's like, it's the bone. And I'm like, I know that one. I actually can answer right? When he is a teaching, he's a he's a teaching kind of mentor, yeah? Eric Readinger 10:28 So like, when Dean comes on here, and he'll ask us questions, and then we get all nervous and try to think of the right answer, and then one of us gets it right, and the other, he does the same thing at breakfast. And we the same way in real life. He's no different, yeah. We act the same way. Law Smith 10:41 So he keeps score, but he that's like, his favorite, you know, kind of angle, and he's right, because he, he was telling me people were wasting two hours as well. And I was like, whoa. I mean, he, he looks up Eric Readinger 10:54 that stuff. Yeah, that's not even now. That's, I thought that was obvious. Law Smith 10:58 Is it all bad? No, it it provides entertainment for people, right, right? You can get information from it. I just don't know how I feel, like you, like we talk about with news outlets, we'd be doing a lot more work to figure out if, if this, this thing on my feed, is actually true. But most people don't take that extra step, including myself, and a lot of the times just go, oh yeah, that's okay, right? Just move on, Eric Readinger 11:27 right? I think they annoying, most annoying dances I even get to that the dances, they're not as annoying. I don't think the food food, try this viral. Try this viral recipe. First of all, if that's obviously throwing a word viral into all the food, right? It's viral. It's viral. Whatever chocolates you know, like you, but the way they do the thing is, like, here, let me do a quick, sharp, snap, cut all, like, of the ingredients that you gotta, like, pause your phone. Like, they don't give you any measurements on what you're doing. Like, there no, it's just like you barely kind of got to guess what they're doing. And yet, there's still people are still trying Law Smith 12:06 to do it. I went on a mom date. I had to go on a date with my mom for lunch once a month. Law loves mom. I love my mama and and she was saying, I was I was saying the same thing. I was like, I don't like any recipe online that doesn't give you the ingredients first. I know that's because that's another bunch into it. And you're like, I don't have, oh, fuck man, I don't have basil. I don't have that kind of basil here. No. But I Eric Readinger 12:34 mean, whatever happened to the websites that just give you the recipe? Well, you'll have to write a fucking Law Smith 12:39 story about it. They're all trying to game it. So, like, they know that's going to be too boring, and people don't want to see that at the beginning. But when you really, actually want to use the information for recipe, and you don't know, I don't I, admittedly, I'm not. I don't know offhand how to bake or cook really well. I can grill, okay, right? But like, I look everything up and just follow whatever the directions are Eric Readinger 13:04 exactly. And when the directions start with, I remember when I was nine years old, it's like, what are you doing, right? I don't even, I don't even see them. Where are you taking me? Yeah, bro, it's a whole thing. Everybody's got to get their SEO in. Law Smith 13:17 So 25% of the users are 18 to 2425 34 is about 30% and our swing and Dick group is about 20 Okay, I just, I wanted to pull some stats up, because I was like, I was curious how really even spread. So it started in 2016 and it's become this. It's grown quicker, more more adopted users, more daily active users than any of them in such a short amount of time. That seems suspect to me, right? Because I was like, how did it grow like that? And I can't get any of the any of the AI apps to tell me Eric Readinger 14:00 really, I know, I think there's absolutely, well, whether it's an app or a person like that, get propped up and put in the spotlight and be made to be, you know, a household thing. It's like we were talking about like a guy like Sean Ryan. Yeah, who the fuck was Sean Ryan before he started getting every top tier podcast guest, yeah? Like, yes, I understand he Law Smith 14:27 was, you know, he was a journalist. He was, he Eric Readinger 14:31 was a counter Intel guy. Law Smith 14:33 Wait, whom? I'm thinking of, the hot wings guy, the hot ones guy. What's that guy's name? Who gives a shit? Now, I'm thinking of Sean Kelly, but, all right, who's Sean? Who Sean? Eric Readinger 14:48 What? Sean Ryan? Law Smith 14:49 There Is he cute. He's a bald headed man. Well, I mean, there's so many audiences we don't know about. There's so many like popular things. Like, when people come up to you, especially like comedy, you think you have a finger on the pulse. Like, you ever heard of this guy? He has a billion people that follow on me. Like, never heard of him? Eric Readinger 15:10 No. I mean, 4.8 3 million subscribers, right? Law Smith 15:14 I don't know if I even know this guy. Well, I thought you were talking about the hot ones. Guy off air. Eric Readinger 15:19 I mean, you just see he's got, you know, Law Smith 15:23 he's is, Eric Readinger 15:25 uh, sets. Let's see if I can imagine being able Law Smith 15:30 to build up. My God, how unprofessional. Whatever you don't do premium down, um, Eric Readinger 15:36 but anyways, I think there's guys that just like, get put into the spotlight to push a narrative, you know, like, just get certain people on there. Like, we're gonna give you a bunch of money for marketing because, like, somebody like, I just don't have no problem with the guy, Sean Ryan, he killed me in the sleep. But like, I don't necessarily think he's a great interviewer, or, like, has a fantastic recall of information, or anything, you know, Law Smith 16:07 well, that doesn't mean, I mean that it's entertainment at the end of the day. So it's Eric Readinger 16:13 not easy. Like, there's just a couple of them that are puzzling to me. Law Smith 16:17 He created and show ran several. Oh, that's, I think that's a different guy. That is absolutely a different guy, former Navy SEAL in CIA, contractor. So that's pretty interesting. Right off the Eric Readinger 16:29 bat, exactly what I'm saying, bro, and then he just jumps into the spotlight like Law Smith 16:34 that. No, okay, so there are, if you're talking about, like, podcasts, where there's, like, how did uh, these podcasts land on the top 10 list? It's like they have PR for that now, it's like you pay to get on that shit. Eric Readinger 16:50 Sure, I understand that. I'm just saying there's certain ones that I hear them and then just the way they are. It's very fishy. Law Smith 16:57 He, uh, became a CIA contractor enemies, so maybe had some cash to spend from that. Yeah. And then founded vigilance elite and 20 vitamin company to teach tactical skills to civilians law enforcement. So maybe money, some money there. If you have money, you can, you can, you can get that many people, even Eric Readinger 17:20 if you suck. Well, anybody who's been in the CIA, but not Law Smith 17:25 us, we're doing it lean on purpose, right? Yeah. So you got, or even it's for this is brought to you, for viewers like you. I don't have that the end of PBS stuff Eric Readinger 17:39 when they play best, get damp. Sure that's the right sound. Law Smith 17:43 Whenever where they go. This TV show, this program, is brought to you by and they give a bunch of, oh, I got it. I got the reference. But, and then they'd say viewers like you at the end, Eric Readinger 17:54 yeah, I know. Did you get it? Yeah, I still get it. Still get it. Law Smith 17:58 I tried to get back to tick tock. I tried to get the list of words that will demonetize you or give you, oh, let's read those aloud. I've wanted to, that was what I was gonna do. I was just gonna start reading them without with no segue into it. But I can't get them. I can't get a list of them. It's like, secret. Eric Readinger 18:17 Well, I know the kids. Oh, visit. Is it one? Well, you can't talk about that. Can't talk about unaliving yourself. Law Smith 18:25 And Tiktok, I think, is the most prude out of all of them. Like you can't say sex, you say SIGs with, like, eggs with an S on right? Yeah, or the one on YouTube, and Tiktok is on alive yourself instead Eric Readinger 18:42 of, did you hear me just say Law Smith 18:44 that? Oh, no. Okay, good. Eric Readinger 18:46 You see how this podcast goes. Everybody, I kind of do my own show over here. Law does his own show over there, and then we meet in the middle at the end. I'm trying, Law Smith 18:54 yeah, yeah, yeah. It's interesting. Well, I'm trying to read some notes. I think we were talking at the same time for a full minute at one point when today, just a couple minutes ago, very possible. So what I don't like about that is, like, self censorship of stuff. But you know, it's not all bad, I guess, because there's so many kids that have accounts and they're on there the dance dances have never like, unless it's like, a bunch of people are never like, Wow, what a cool dance. I think it's interesting. I think it's I respect like a dance group that does something pretty, you know, difficult, synchronized. I feel like that is a female thing. Big time is like, I got a dance. I got, I got it hit me, Eric Readinger 19:46 right, right? Law Smith 19:48 I know I misogynist lately, so I'm just gonna lean into before, yeah, no, I'm saying like that. Okay, so group dance. Yes, moves, I'm gonna go with horoscopes. In, like, astrology, these are all things I don't know a straight man that is into any of this in drag queen shows, yeah, well, people are like, it's hilarious, and you're like, a half second, maybe at best. Okay, I'll there one straight male that enjoys any of those three things. Eric Readinger 20:27 Okay, well, hold on, on the dragon shows, there is an element that can make it fun. That is, if you have another dude in your group who's very uncomfortable with the situation, sure, yeah. And we obviously let the drag queens know this, you know, you tell them, hey, focus in on him. Yeah, it's going to be funny forever. But I give you credit Law Smith 20:47 for you having the friend, bring in that friend, or making that friend go kind of right. I'm not, I don't know. It's just like, I mean, this is obviously, it's Eric Readinger 20:55 not like, I came up with the idea. I'm saying, like, if you're forced to go, you can make the best out of it, yeah, by making your friends uncomfortable, yeah, Law Smith 21:04 at the same time, like dudes, I'm trying to, I try to be open to that those kind of things when they're brought up, I try not to just shut it down kind of right away. Eric Readinger 21:15 You know, what kind of things, Law Smith 21:17 stuff that has zero interest to me. And I extrapolated out to I'm like, do I know any men that like actual men that like this stuff? Yeah, straight guys like myself, but yeah, Comparison is the thief of joy. So try to be open to it. I don't know everything, and there might be a funny drag show out there. Eric Readinger 21:42 I'm not, yeah, but again, I'm not trying to go to drag if you're forced. Law Smith 21:46 Well, I've been, I've been to a lot of drag places because of comedy, and it's like, I've seen it. You get to open with Eliza Manali, and you're going to close the share. Eric Readinger 21:58 I don't get it. I don't get how it's so much a thing. Law Smith 22:03 So what else did I have on here? Look, we don't even have a Tiktok account for this podcast, which is pathetic. So we'll this, hopefully this will help. Here's one thing I found that was interesting. There was an entrepreneur trader that followed all the comments on Tiktok to find trends before people on Wall Street could find out about them. So he would spend four hours every night analyzing comments to find out what people were talking about. Okay, and then he would find that trend, and he he put a trade in on that company before it really popped to like older Wall Street people, and he fucking crushed it. Guy's name is Chris Camillo from from Texas, and he turned $84,000 into 42 million by just finding trends before they really pop to the general public, the older public, you know, Eric Readinger 23:06 yep, but I see that he turned $84,000 into whatever. No, I mean, that's just like, what's his face? Law Smith 23:16 Here's here's a good example. So Hollywood insider predicted Margot Robbie last the Barbie movie, right? So he sees all the Tiktok comments about the Barbie movie buzz. He puts a bunch of trade on Mattel stock because it's gonna, it's gonna go through the roof, because it's gonna be a legit movie, right? And crushes it with that kind of thing. I think ozempic was another one, or one of the weight loss drugs. When people were starting to do that and talk Eric Readinger 23:47 about it, it doesn't seem like four hours a night is necessary for that. Law Smith 23:52 Well, obviously he's obsessive about it. But it was one of those things where, what did I go? It was obviously, like obsessive and by the way, slime was the other one that that's like genius. If he was reading comments, I doubt he did it four hours a night. By the way, this is Eric Readinger 24:09 what I'm saying. I have four hours. I didn't vet I didn't vet this whole thing, mental thing. Law Smith 24:13 Maybe I didn't vet it out. And I'm sure he figured out how to get a bot to sweep and look at all this stuff. But kids obsessing over slime, and then, so he bought, he bought a bunch of Elmer, elmer's Glue stock, like shit like that. That's pretty awesome. Why is that? Because that's what makes up slime. Of a lot of that, okay, Eric Readinger 24:37 but they're using it for glue. Law Smith 24:40 No, you put you Elmer glue is one of the ingredients in slime, Eric Readinger 24:44 but they're not making the glue. They're not taking Elmers glue and making slime out of Law Smith 24:49 it. A lot of kids were making at home, yeah, including my own kids, I see. And then I had to have a no slime rule at my house, Eric Readinger 24:58 yeah. No. The parents like the slime. I'm fuck that shit. Well, it just, it gets everywhere. It never comes off. Law Smith 25:04 Yeah, it's like, Slimer from Ghostbusters. It leaves, like, residue Eric Readinger 25:07 everywhere, snail trails. Yeah, yeah, fucking Law Smith 25:11 first. Oh, but have I brought this up Ghostbusters? I got a lot of people that don't like cops, but they love Ghostbusters. And I'm like, You're you're backing, you're back in enforcement Eric Readinger 25:23 there that don't like, like cops the TV show or cops in real life, Law Smith 25:26 like police in real life. They're like, they're like, defund the police people, and then they love Ghostbusters. I find that funny, Eric Readinger 25:34 right? That's a really fun thing for you to say to them. I Law Smith 25:37 never bring it up. Oh, okay, dude, I, I don't if it's a big calorie burner, and I don't have a lot of information or a hot take other than that one sentence, yeah, I Eric Readinger 25:48 am bringing it up. Yeah. I mean, defund the Ghostbusters. Law Smith 25:53 I'm just saying, Man, you know, they deserve fair trial too. Eric Readinger 25:57 The ghosts, I feel like they've already had their trial. Did they there? I mean, that's why Law Smith 26:02 they got hurt there. There's systemic ghostism. Eric Readinger 26:06 Oh, I see. So it's a problem with communities. Law Smith 26:10 Anyway, I thought that was interesting. Not all Tiktok is bad. You can use it the way you want. Everybody wants to be an influencer now that's under the age of 18. YouTube star or Tiktok star is like the number one. I know job they want when they get older. It's crazy, yep, all right, I didn't think it Eric Readinger 26:29 was any foresight to say we can't all be influencers. Hey, Eric. I didn't think we're gonna talk that much. I thought we're gonna have a short episode, I know, but I knew we would just gab like gals. I got, Law Smith 26:39 I got one more thing, and then we'll get out of here and it, I'm going to open source it to everybody. So if you made it, I'm going to Shawshank Redemption you, if you made it this far, why you come a little bit further? What? There is a great idea I don't think I'll be able to ever capitalize on. So as if, like my Cuban coffee drive through idea. Eric Readinger 27:02 You know, that's the one joke that I thought of when you're like, I'm gonna that's not my my bits on stage. What's the name of your Cuban drive through? What's the name that you give it? Oh, that's Law Smith 27:15 the fruit the food truck joke, Eric Readinger 27:18 whatever it is, the two cups. Yeah, my point is, is that came into my mind when you're like, I don't really do a lot of dirty stuff or shock Law Smith 27:27 value stuff, yeah? Well, it's tough to shock people. Number one, you have to go so extreme. That's, that's why it felt out of place. And then this is a conversation we had off air. Eric Readinger 27:38 It was, yeah, Law Smith 27:41 about a set I did, and I was like, Yeah, not really. Part of who shit it was, yeah, Eric Readinger 27:47 yeah, who's in, who's in the zone? Now, I don't know. I mean, it doesn't change. Holy Water, all right, we have, you don't get to just say it. Law Smith 27:56 I'm getting closer. I'm getting closer. Nailing that. Holy guacamole, Eric Readinger 28:01 gronca, moly, I Law Smith 28:02 know, but I Eric Readinger 28:03 messed up. Okay, fantasy football, is that what you want to talk about? Law Smith 28:06 Well, I've tried to figure out how to capitalize this league. I do. No one's figured out. Okay, so NFL, fantasy football, billion dollar business, like, if not 10 100. We know he knows sports betting going on with the Daily Fantasy leaves too well, and the college football is getting cooler about being less kind of they're they're becoming less restrictive about players rights and their naming rights and all that stuff paying them like they should have been the whole time. So I do a very nerdy college fantasy football league, but I'm always like, when I'm preparing for it, I have my draft tonight, and when I'm preparing for it, I'm always like, I can't believe no one's figured this out how to make college football fantasy because everyone goes well, there's too many teams, ah, but we do it a different way. We have eight managers, ah, and it's a top 25 League. You stick with the AP, top 25 and your draft really matters, because you have to skew it a bit. So if it's like Boise State's 24 and they play, you know, one of those opening games where they got to play something difficult, they can lose the value of that player goes down, because once they drop out of the top 25 you lose them, yeah? And you have to do a waiver, a weekly waiver. Eric Readinger 29:26 Life is somebody doing all this by hand? Yeah? Law Smith 29:30 Holy shit. I mean, not like writing it down? No, I know, but manually, I told you, this is the one where it's me, my buddy, Brendan, and I think everybody else is black dude that. So I'm like, you stupid kind of white guy in the group. I'm I was, like, the new guy, and that I was the new guy for like, 15 years in this league. I don't know these guys that well. So it's always like, we're doing the Zoom draft. Often. I'm like, sometimes I've been a little loosey goosey, you know, yeah, battle pops, it made some jokes that fall flat, and I'm like, Okay, well, I don't know these guys anyway, so, yeah, Eric Readinger 30:10 well, but you need me there with you. Law Smith 30:14 You can hop on tonight. No, Eric Readinger 30:17 God, I try to so racist jokes and fall flat, but Law Smith 30:21 I'm open to sourcing it. I've definitely done this on the show before and put it out there. It's one of those things where it's, like, I tried one year to really try to put effort into it for a while, Eric Readinger 30:30 and like, what are you hoping sourcing the Law Smith 30:33 idea of the game? So, like, you can be even hard to pitch this to a big like Yahoo or ESPN, or any FanDuel or something. Yeah, because you you'd have to go, I gotta pitch you something, but you gotta sign the longest NDA of all time that you can, like, it's like a movie script, while people don't read movie scripts just given to them, that has to go through their agency, because they'll get sued for, like, copying the idea. It's kind of like that, an IP of this idea of some of something that already exists, statistics that are out there. Eric Readinger 31:08 Yeah, I don't think it'd be that crazy. Law Smith 31:11 What sucks is, every year you have to do the manual research. Now there's sites you can pay for, subscription wise, that kind of do it. But like, Yeah, nobody cares about college. You can't. You can't really key in firsthand, all the parameters you need. So I've tried to, like, here's my strategy this year, because, oh, my God, I didn't read Phil Steele's phone book magazine. He does a thing on every team. It's like the craziest, like, Aspergers, he, like, he has, he it's like 180 pages. It's crazy. And he predict, he's the best predictor of, like, who's gonna win the Heisman, who's gonna be good this year kind of thing. So I tried to go, here's my here's what I was like, I gotta think outside the box, because last year I tried to do, I tried to use chat GBT didn't really work. This year I gave it a whirl. Still wasn't working for me. I'm going to look up the EA college football video game ratings, yeah, filter out all the non top 25 people, and then kind of go from that, Eric Readinger 32:20 yeah, that's just that, right? Like, I was like a thing when back in my fantasy football days, like, if you ever had somebody like, you're trying to make a tough decision, start this guy or start that guy, I'd go to FanDuel, who cost support. Oh, yeah, yeah. Gamblers know, Law Smith 32:36 right? The problem with the the Daily Fantasy ones was they don't have all the teams in there a lot of the time, so it's like, you're not getting a pure one to one sometimes, you know, if you're, if you're Jocelyn between, I've tried to do that for NFL. Eric Readinger 32:53 I'm like, Oh, you're saying, like some teams play at different times and, well, yeah, they don't. Law Smith 32:58 I don't know if they do it now. I haven't, I haven't really gone on those sites because I'm scared I'll, I'll gamble my life away. But it's one of those things where they do, like, here's the seven games early Sunday kind of package, but they would never have the whole Thursday to Monday, right? So it was hard to put it against it. I don't know, you know I'm saying anyway, I Eric Readinger 33:20 guess so. But the prices are all the same. Law Smith 33:23 The Price Is Right. Thanks for listening, and Eric Readinger 33:29 it's from the prices. Law Smith 33:31 And when you make billions off of this idea, you know, you package it, you're the listener. I'm talking to you, the listener. When you package this, just throw a couple shackles for for for funzies fucking nuts. Eric Readinger 33:58 Yo, I'm dumb. I.
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
Enterprise SEO teams waste resources on ineffective LLM.txt files instead of proven protocols. Duane Forrester, former Bing search engineer and founder of UnboundAnswers.com, explains why major crawlers including AI systems still follow established robots.txt standards. The discussion covers proper robots.txt syntax implementation, the default crawl behavior that eliminates need for "do crawl" directives, and strategic resource allocation between technical infrastructure and content quality initiatives.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Can AI be used to improve patient experiences? This week, Technology Now explores how AI is being used to streamline data collection in the healthcare industry, how data should be treated to avoid bias in AI, and the benefits this brings to patients. Derek B. Howard, Programme Manager for the HPE Digital Health Foundry Programme, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Derek B. Howard:https://www.linkedin.com/in/derek-howard1/Sources:https://www.britannica.com/technology/MYCINhttps://www.mghlcs.org/projects/dxplainhttps://www.cedars-sinai.org/discoveries/ai-ascendance-in-medicine.html
This is a recap of the top 10 posts on Hacker News on September 10, 2025. This podcast was generated by wondercraft.ai (00:30): I didn't bring my son to a museum to look at screensOriginal post: https://news.ycombinator.com/item?id=45199931&utm_source=wondercraft_ai(01:52): Charlie Kirk killed at event in UtahOriginal post: https://news.ycombinator.com/item?id=45202200&utm_source=wondercraft_ai(03:14): I replaced Animal Crossing's dialogue with a live LLM by hacking GameCube memoryOriginal post: https://news.ycombinator.com/item?id=45192655&utm_source=wondercraft_ai(04:37): Pontevedra, Spain declares its entire urban area a "reduced traffic zone"Original post: https://news.ycombinator.com/item?id=45195520&utm_source=wondercraft_ai(05:59): ChatGPT Developer Mode: Full MCP client accessOriginal post: https://news.ycombinator.com/item?id=45199713&utm_source=wondercraft_ai(07:21): KDE launches its own distributionOriginal post: https://news.ycombinator.com/item?id=45204393&utm_source=wondercraft_ai(08:44): OrioleDB Patent: now freely available to the Postgres communityOriginal post: https://news.ycombinator.com/item?id=45196173&utm_source=wondercraft_ai(10:06): Court rejects Verizon claim that selling location data without consent is legalOriginal post: https://news.ycombinator.com/item?id=45206567&utm_source=wondercraft_ai(11:28): We can't circumvent the work needed to train our mindsOriginal post: https://news.ycombinator.com/item?id=45198420&utm_source=wondercraft_ai(12:51): TikTok has turned culture into a feedback loop of impulse and machine learningOriginal post: https://news.ycombinator.com/item?id=45199760&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai
StretchDollar is transforming how small businesses approach employee health benefits by decoupling plan administration from funding. Rather than forcing all employees onto a single group plan, the platform allows employers to provide pre-tax monthly budgets that employees can use to purchase individual health plans they select and own themselves. In this episode, I spoke with Marshall Darr, Co-Founder and CEO of StretchDollar, about building a solution that addresses the unique challenges small businesses face in providing healthcare benefits. Topics Discussed: The limitations of traditional group health plans for small businesses under 50 employees How the 2020 IRS ruling on ICHRAs (Individual Coverage Health Reimbursement Arrangements) enabled new approaches StretchDollar's evolution from being their own first customer to serving diverse small businesses The company's cost-effective go-to-market strategy focused on inbound traffic and partnerships Building trust and brand credibility in a heavily regulated industry Optimizing content strategy for both traditional SEO and emerging LLM search traffic The decision to move away from paid marketing channels GTM Lessons For B2B Founders: Become your own first customer to validate the solution: Marshall's team used StretchDollar internally from day one, with his co-founder in San Francisco wanting Kaiser while Marshall was in Pittsburgh where Kaiser wasn't available. This real-world constraint validated their core value proposition. Rather than compromising on a "Frankenstein sort of national but very small group plan," they gave everyone $500 monthly budgets. B2B founders should consider how their own operational needs can serve as the initial proof point for their solution. SMB markets require ruthless cost-effectiveness in go-to-market: Marshall learned from Gusto that targeting small businesses demands extremely cost-effective acquisition strategies. With much smaller annual contract values than enterprise clients, "you need to rely a lot on inbound traffic, a lot on customer-to-customer referrals." B2B founders in SMB markets must build products compelling enough that customers actively recommend them, as traditional enterprise sales models don't work economically. Industry expertise enables superior content marketing: StretchDollar's content strategy works because Marshall spent years as a health insurance broker, selling "hundreds of group policies, hundreds to thousands of individual policies." This deep domain knowledge allows them to create genuinely useful content that attracts both traditional search traffic and increasingly, LLM-generated referrals. B2B founders should leverage their industry expertise to create content that demonstrates unique insights rather than generic advice. Paid marketing can be a distraction from fundamentals: Marshall's team discovered that stopping paid marketing resulted in only "a very marginal sort of drop in signups" while freeing up "tens to hundreds of thousands of dollars." The shift forced them to focus more on content quality and organic growth. For SMB-focused B2B founders, paid channels may be "so optimized right now that you need an insane budget and really good unit economics" to compete effectively. Self-service onboarding becomes competitive advantage: Drawing from Mercury's banking experience, Marshall realized SMB customers want to "knock this out" in 20 minutes without extensive sales calls. StretchDollar built their platform to allow self-onboarding while maintaining sales support for those who prefer it. B2B founders should consider how self-service capabilities can differentiate their solution while improving unit economics. Partnership strategy should target natural referral sources: StretchDollar partnered with Oscar Health, appearing on their website as the preferred destination for sub-20 employee groups. This creates a natural referral flow from a complementary service. B2B founders should identify companies whose customers represent natural expansion opportunities and build formal partnership channels. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
An airhacks.fm conversation with Ingo Kegel (@IngoKegel) about: jprofiler Visual Studio Code integration using Kotlin Multiplatform, migrating Java code to Kotlin common code for cross-platform compatibility, transpiling to JavaScript for Node.js runtime, JClassLib bytecode viewer and manipulation library, Visual Studio Code's Language Server Protocol (LSP), profiling unit tests and performance regression testing, Java Flight Recorder (JFR) for production monitoring with custom business events, cost-driven development in cloud environments, serverless architecture with AWS Lambda and S3, performance optimization with parallelism in single-CPU environments, integrating profiling data with LLMs for automated optimization, MCP servers for AI agent integration, Gradle and Maven build system integration, cooperative window switching between JProfiler and VS Code, memory profiling and thread analysis, comparing streams vs for-loops performance, brokk AI's Swing-based LLM development tool, context-aware performance analysis, automated code optimization with AI agents, business event correlation with low-level JVM metrics, cost estimation based on cloud API calls, quarkus for fast startup times in serverless, performance assertions in System Tests, multi-monitor development workflow support Ingo Kegel on twitter: @IngoKegel
EP 259.5The cybersecurity and technology threat landscape is accelerating in scale, sophistication, and impact. A convergence of AI-driven offensive capabilities, large-scale supply chain compromises, systemic insecurity in consumer devices, corporate data abuses, and state-level spyware deployment is reshaping digital risk. At the same time, new innovations—particularly in open-source, privacy-centric AI and smart home repurposing—highlight the dual-edged nature of technological progress.AI-Accelerated ExploitsAttackers now harness generative AI to automate exploit creation, compressing timelines from months to minutes. “Auto Exploit,” powered by Claude-sonnet-4.0, can produce functional PoC code for vulnerabilities in under 15 minutes at negligible cost, fundamentally shifting defensive priorities. The challenge is no longer whether a flaw is technically exploitable but how quickly exposure becomes weaponized.Massive Supply Chain AttacksSoftware ecosystems remain prime targets. A phishing campaign against a single npm maintainer led to malware injection into packages downloaded billions of times weekly, constituting the largest supply-chain attack to date. This demonstrates how a single compromised account can ripple globally across developers, enterprises, and end users.Weaponization of Benign FormatsAttackers increasingly exploit trusted file types. SVG-based phishing campaigns deliver malware through fake judicial portals, evading antivirus detection with obfuscation and dummy code. Over 500 samples were linked to one campaign, prompting Microsoft to disable inline SVG rendering in Outlook as a mitigation measure.Systemic Insecurity in IoTLow-cost consumer devices, particularly internet-connected surveillance cameras, ship with unpatchable flaws. Weak firmware, absent encryption, bypassable authentication, and plain-text data transmission expose users to surveillance rather than security. These systemic design failures create enduring vulnerabilities at scale.Corporate Breaches and Data AbuseThe Plex breach underscored the persistence of corporate data exposure, with compromised usernames and passwords requiring resets. Meanwhile, a federal jury fined Google $425.7M for secretly tracking 98M devices despite user privacy settings—reinforcing that legal and financial consequences for privacy violations are escalating, even if damages remain below consumer expectations.Government Spyware DeploymentCivil liberties are increasingly tested by state adoption of invasive surveillance tools. U.S. Immigration and Customs Enforcement resumed a $2M deal for Graphite spyware, capable of infiltrating encrypted apps and activating microphones. The contract proceeded after regulatory hurdles were bypassed through a U.S. acquisition of its Israeli parent company, raising alarms about due process, counterintelligence risks, and surveillance overreach.Emerging InnovationsNot all developments are regressive. Philips Hue's “MotionAware” demonstrates benign repurposing of smart home technology, transforming bulbs into RF-based motion sensors with AI-powered interpretation. Meanwhile, Switzerland's Apertus project launched an open-source LLM designed with transparency and privacy at its core—providing public access to weights, training data, and checkpoints, framing AI as digital infrastructure for the public good.The digital environment is marked by intensifying threats: faster, cheaper, and more pervasive attacks, systemic insecurity in consumer technologies, corporate and governmental encroachments on privacy, and the weaponization of formats once considered harmless. Yet, the emergence of open, privacy-first AI and the creative repurposing of consumer tech illustrate parallel efforts to realign innovation with security and transparency. The result is a complex, high-velocity ecosystem where defensive strategies must adapt as quickly as offensive capabilities evolve.Conclusion
Membership | Donations | Spotify | YouTube | Apple PodcastsToday's guest Taryn Southern is someone I consider a master surfer of technological change: a fellow elder millennial, artist, creative technologist, strategist, and dancer in the liminal zones of high chop. She's better than I am at finding the pocket, has made a name for herself for riding some serious bombs, and seems to know precisely when to bail. Starting as an actor, Internet famous for being an early YouTube influencer and her album I Am AI, the first LP composed and produced with an LLM, she caught air at the Tribeca Film Festival in 2019 with the premier of her documentary I Am Human (co-directed with Elena Gaby), an intimate look at the lives of three people with implantable brain interfaces and the medical, ethical and societal implications.She's also produced an award-winning musical VR series for Google using Tiltbrush and Blocks, worked as Chief Storyteller for Blackrock Neurotech, minted the first song token on the Ethereum blockchain, spoken and consulted all over the world, operated as an angel investor, and survived breast cancer. In other words, she's just the person to teach you how to hang ten instead of duck diving under the next pounder. Let's drop in and grab the rail. Thanks for listening!If you enjoy this conversation, join the Wisdom x Technology Discord server and consider becoming a member for access to the complete archives, study groups, and community calls.Founding members also get access to the entire twenty hours of lecture and discussion from my recent course, How to Live in the Future at Weirdosphere.Show Links• Explore the interactive knowledge garden grown from over 250 episodes• Dig into nine years of mind-expanding podcasts• Explore the Humans On The Loop dialogue and essay archives• Browse the books we discuss on the show at Bookshop.org• Hire me for speaking or consultingChapters00:00 Introduction: The Promise and Perils of Technology 01:07 Welcome to Humans On the Loop 05:57 Taryn's Early Fascination with Technology 08:55 Living with Constraints and The Spirit of Exploration 31:06 AI in Personal Growth and Communication 38:52 AI as a New Religion and Therapy Tool 42:04 The Ethical Dilemmas of AI and Big Tech 47:58 The Future of AI in Governance and Society 57:42 Empowering Individuals with AI and Community InvolvementMentionsMoon RibasRolf Potts' VagabondingDamien Walter's “Modernity is Done”Jim O'ShaughnessySolo: A Star Wars StoryMichael Davis on Exploring the Intersection of AI & RomanceThe Evolution of SurveillanceCory Doctorow's “enshittification”Howard Rheingold This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit michaelgarfield.substack.com/subscribe
Bill Vass is the Chief Technology Officer of Booz Allen. Vass joins Big Technology Podcast to discuss how governments can harness AI to cut redundancy and deliver better citizen services. Tune in to hear his inside view on LLM deployments from the VA to the International Space Station and the difficulty of modernizing mass bureaucracies. We also cover autonomous driving, humanoid robots, and quantum computing's first real use-cases. Hit play for fascinating look into public sector AI, along with deep perspective on technology's state of the art. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
LLM.txt files offer no actual SEO value for content creators. Duane Forrester, former Bing executive and founder of UnboundAnswers.com, explains why these files are "total trash" since all AI crawlers already follow standard robots.txt protocols. He details how Creative Commons bot handles most AI training data collection, making additional file formats unnecessary, and provides guidance on proper robots.txt syntax to avoid blocking beneficial AI crawlers from accessing content.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Send us a textTim and Chris dive into the month's most significant tech developments, exploring antitrust rulings, emerging AI security threats, and the financial sustainability of the AI industry.• Google avoids having to sell Chrome in federal antitrust ruling but is barred from exclusive distribution contracts• Cybercriminals deploy "S1ngularity Attack" using LLM prompts to steal credentials from 2,100 GitHub accounts• Cisco reintroduces dedicated wireless certification track with focus on Wi-Fi 6/7 and Meraki technologies• Google Cloud introduces "agentic IAM" services to manage AI agent identities and improve MCP security• Zscaler CEO creates controversy by suggesting customer logs are used for AI training before company clarification• Avaya offers voluntary exit packages to all employees, suggesting potential acquisition or restructuring• OpenAI increases projected spending through 2029 by $80 billion to $115 billion totalShare this episode on social media and tell a friend about the podcast if you enjoyed it. You can find us on all platforms @Cables2Clouds.Purchase Chris and Tim's new book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Fortnightly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj
AI isn't just transforming marketing — it's reshaping the entire customer experience.In this special crossover episode, Experts of Experience features a conversation from our sister podcast Marketing Trends, hosted by Stephanie Postles.Stephanie sits down with Amber Armstrong, CMO of Salesforce Applications, to explore how AI and LLMs are changing discoverability, customer journeys, and the future of CX. Amber shares how her team is rethinking SEO for generative search, converting 40% of LLM traffic into leads, and rolling out AI agents at scale through Salesforce's Agentforce.If you want to understand how AI is reshaping customer expectations and how leading CMOs are adapting, this episode offers a practical playbook for the generative era. Key Moments: 00:00 How AI and LLMs Are Reshaping the Marketing Funnel03:54 Amber Armstrong's Journey from IBM Intern to CMO at Salesforce06:35 The Expanding Role of AI in Modern Marketing Teams08:52 Inside Salesforce's Guild System: How Amber Aligns Teams Across Four Clouds17:31 Real AI Use Cases from Amber Armstrong's Marketing Team at Salesforce26:40 Amber Armstrong's Playbook for Future-Proofing SEO in the Age of LLMs30:55 How Salesforce's Website Converts 40% of LLM Traffic into Leads35:58 Building AI Agents at Scale: Lessons from Salesforce's Agent Force Rollout37:53 The Ongoing Role of Third-Party Validation in Buyer Decision-Making39:49 Amber Armstrong on Adapting Marketing Metrics for an AI-First Future40:40 How Salesforce Aligns Content Strategy Across Business Units44:56 Amber Armstrong's Advice for Getting Teams Comfortable with AI Tools51:24 Salesforce's Next Big Moves: Account-Based Marketing and Cross-Cloud Growth –Are your teams facing growing demands? Join CX leaders transforming their AI strategy with Agentforce. Start achieving your ambitious goals. Visit salesforce.com/agentforce Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org
OVERVIEWCody Stephenson, the Education Program Manager at TrainingPeaks, is back on the podcast to talk about the current state of artificial intelligence in cycling coaching and how TrainingPeaks' developers are using models to improve the accuracy and usability of athletes' training data.TOPICS COVEREDA.I.'s current and future role in cycling coachingHow auto-updates of FTP work and when to pay attention to themAbout TrainingPeaks' Fueling Insights ToolTrainingPeaks Virtual: Ultimate Indoor Cycling App What's coming next from TrainingPeaksASK A QUESTION FOR A FUTURE PODCASTGuest Bio – Cody StephensonCody grew up racing mountain bikes in Durango, Colorado where he developed a passion for endurance sports, science, math and technology. He switched to the road and track while racing for Fort Lewis College, where he also managed to get a couple of science degrees. Now he gets to write and talk about his favorite topics every day as Education Program Manager at TrainingPeaks. When he's not helping coaches learn to leverage technology to reach their goals he's trying to become as good of a mountain bike racer as he was when he was 13 years old.Resources:- Cody Stephenson LinkedIn- Articles: https://www.trainingpeaks.com/coach-blog/how-to-coach-athletes-who-arent-racing/- CP W' vs FTP alone- Analyzing FTP by Joe Friel- Power Training with WKO:- Why Train Submaximally? WKO Case Study - Targeting Specific PDC Improvements - Learning More about LLM's and AIHOSTAdam Pulford has been a CTS Coach for nearly two decades and holds a B.S. in Exercise Physiology. He's participated in and coached hundreds of athletes for endurance events all around the world.Listen to the episode on Apple Podcasts, Spotify, Stitcher, Google Podcasts, or on your favorite podcast platformGET FREE TRAINING CONTENTJoin our weekly newsletterCONNECT WITH CTSWebsite: trainright.comInstagram: @cts_trainrightTwitter: @trainrightFacebook: @CTSAthlete
A reMarkable lançou um mini-caderno, o Evernote vai ganhar um LLM, e a Bia não gostou de nenhum iPhone.
As President Trump's immigration crackdown intensifies, many immigrants who have lived, worked and paid taxes in the United States for years are getting snatched by masked agents and disappeared into a vast network of jails across the country.In Vermont, a small but growing group of young attorneys have thrown themselves into the fight to defend the immigrants' rights. Newly minted lawyers, including recent graduates of Vermont Law and Graduate School, are now going head to head with lawyers from Trump's Justice Department.The attorneys have been going into Vermont's jails and encountering terrified immigrants, many of whom are being repeatedly shuffled between states in what appears to be a deliberate effort to frustrate their attempts to obtain effective legal representation. Some detainees do not even know where they are. Vermont Asylum Assistance Project (VAAP), headed by immigration attorney Jill Martin Diaz, has been a driving force behind the effort to mobilize lawyers and defend immigrants. VAAP has grown from one staff member in 2024 to what will be a staff of eight by November, including four new attorneys who are part of the national Immigrant Justice Corps. VAAP recently received a $100,000 grant from the recently established Vermont Immigration Legal Defense Fund to hire staff, bring in attorneys and train Vermont lawyers to handle immigration cases.Martin Diaz formerly taught immigration law at Vermont Law and Graduate School, directed its Center for Justice Reform Clinic and practiced at Vermont Legal Aid. They currently are a lecturer in the department of social work at the University of Vermont. In 2023, Martin Diaz was named by the LGBTQ+ Bar Association as one of the 40 best LGBTQ+ lawyers under 40.I visited VAAP's headquarters in Burlington, where I interviewed Martin Diaz, staff attorney Leah Brenner and volunteer staff attorney Andy Pelcher.“I'm looking around at our office that's not even unpacked and we barely have lights and WiFi. How are we holding our own against Trump's Department of Justice that just got a big, beautiful raise?” marveled Martin Diaz, who described fighting the Trump administration as akin to David vs. Goliath.Martin Diaz said that immigrants are “canaries in the coal mine.”“People are really starting to look at what's going on in the immigration system as a microcosm for what could happen to our democracy if left unchecked, not just for noncitizens, but for everyone.”Pelcher, who graduated Vermont Law and Graduate School in 2018 and went on to get an LLM, or master of laws, described a recent visit to Northwest State Correctional Facility in St. Albans, where he encountered a Palestinian man who was a survivor of torture who “had been bounced around to a number of facilities during the 14 months that he had been detained.” Somehow he landed in a Vermont jail. “People are being frequently transferred from facility to facility, seemingly as a means to deny access to counsel, family, local networks of support, and any other means by which these individuals can meaningfully prepare for their defense against removal,” said Pelcher. VAAP, together with the Association of Africans Living in Vermont, took on the man's case.VAAP's experience finding and aiding immigrants in Vermont's jails has led Martin Diaz to oppose the idea of closing Vermont's jails to ICE. “I would not advocate for more beds, but I would also strongly caution against a wholesale end to ICE's ability to detain people in our state,” they said. “The truth is that there is no substitute for lawyers getting in their cars, going to a facility with our bodies and meeting one on one in private with our clients directly.”“It's really, really difficult to provide people with legal help telephonically, when the people who have your clients in custody have no respect for the rule of law and for individuals rights.”Is America's legal system up to the task of defending rights and institutions in the Trump era?“I do have hope that the rule of law will prevail and that this horrible, horrible, tragic moment in our history, this painful moment for our community members who are being directly impacted, can also be a galvanizing opportunity for us to rethink what do we want our laws to say? What do we want due process to look like? What checks and balances do we want?” said Martin Diaz.
Neel Mitra, the Worldwide Solutions Architecture Leader for Data and AI at AWS, discusses the evolution and applications of AI in the automotive industry. He highlights the transition from classic AI to large language models and agentic AI, emphasizing their potential to enhance vehicle diagnostics and performance. With over twenty-one years of experience, Neel shares insights on the importance of data integration and collaboration in optimizing automotive technology. He notes the growing trend of software-defined vehicles and the need for continuous learning through MLOps. The conversation underscores the significance of AI in transforming automotive systems and the benefits of these technologies. The conversation touches on Sonatus AI innovations such as Sonatus AI Director, a new solution for in-vehicle edge AI, and Sonatus AI Technician, which uses LLM's to provide a better diagnostic experience.
This episode is part of the AI Summary series covering the AI Search Manual chapter by chapter. Chapter 15 explores how simulation can give marketers an edge in Generative Engine Optimization by letting them test how AI-driven search systems retrieve, interpret, and present content before it goes live.The discussion covers practical approaches like building local retrieval simulations with tools such as LlamaIndex, running synthetic queries to mimic AI fan-out, and using LLM-based scoring pipelines to measure content readability, extractability, and semantic richness. It also looks at hallucination analysis through prompt templating and how feedback loops between simulation and production data can refine predictions over time.The episode makes the case that simulation is no longer an academic exercise but a strategic necessity for GEO, helping teams anticipate how systems like Google AI Overviews, Perplexity, and Copilot treat their content. By experimenting in controlled environments, brands can move faster, test more precisely, and reduce the guesswork that has long defined SEO.Read the full chapter at ipullrank.com/ai-search-manual
How can you leverage AI to help you choose, prepare for, and land your next great job? A lot of you are planning or in the thick of the job search right now, and with the ever-increasing AI involvement in company hiring practices, the landscape looks a lot different than even a few years ago. This conversation with Marlo Lyons, a career coach, author, and HR pro with 20 years of experience, is here to help you navigate these choppy, rapidly changing waters. Marlo and I discuss what's changed (AI interviewers) and what hasn't (building real connections is still vital). She shares her expert advice on how AI programs can help you not only prepare for applications and interviews, but also uncover a new career that really aligns with your values. The robots can't do everything for us, but they definitely belong in your toolbox. Get Marlo's expert tips on how to (and not to) incorporate AI into your job search:How to find your AI-resistant capabilities;Why networking is still a key piece in an AI-driven work world;How to use an LLM like ChatGPT to help you prepare and apply;The kind of resumes AI scanners are looking for;Nailing that first interview with an AI agent.Related Links:Connect with Marlo - https://www.marlolyonscoaching.com/Marlo's books - https://www.amazon.com/stores/Marlo-Lyons/author/B09BJ8SQ2XThe Work Unscripted Podcast - https://www.marlolyonscoaching.com/podcastHBR, How to Get Hired When AI Does the Screening - https://hbr.org/2025/02/how-to-get-hired-when-ai-does-the-screeningThe New York Times, Trump vs. the U.S. Economy by Ezra Klein - https://www.nytimes.com/2025/08/16/opinion/ezra-klein-podcast-natasha-sarin.htmlEpisode 519, How to Ace the Interview with an AI Agent - https://www.bossedup.org/podcast/episode519HIRED: a job search accelerator video course - https://www.bossedup.org/hired/Bossed Up Courage Community - https://www.facebook.com/groups/927776673968737/Bossed Up LinkedIn Group - https://www.linkedin.com/groups/7071888/
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
Retrieval-based search is transforming how SEO professionals approach keyword strategy. Duane Forrester, former Bing Senior Product Manager and founder of UnboundAnswers.com, argues that traditional keyword research must evolve beyond single-term optimization to remain effective in AI-driven search environments. The discussion covers query fan-out methodology for topic expansion, conversation-based keyword research techniques that mirror natural language patterns, and strategic frameworks for adapting keyword research processes to accommodate LLM search behaviors and retrieval-based ranking systems.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Although there were no huge LLM updates this week, the big AI companies were still making moves. ↳ Google avoided an AI breakup. ↳ The world's most prominent AI players met with U.S. President Trump. ↳ Apple had to get AI help from its biggest competitor. ↳ Anthropic suffered a $1.5 billion lawsuit loss. And that's barely the beginning of this week's AI news that mattered. Don't waste hours a day trying to keep up or miss an update that impacts your work. Tune in now!Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI AI-Powered Job Board AnnouncementOpenAI ChatGPT Certification Launch DetailsAtlassian Acquires Browser Company for $610MAI Agentic Browsers Market Competition UpdateOpenAI Research on LLM Hallucinations ExplainedApple Integrates Google Gemini in SiriApple-Google AI Partnership for World KnowledgeOpenAI Broadcom Partnership for AI ChipsWhite House AI Execs Meeting with TrumpMajor AI Industry Data Center InvestmentsWarner Bros Sues Midjourney Over CopyrightAnthropic $1.5B Author Copyright SettlementGoogle Wins DOJ Search Monopoly Court CaseAI Image Generator Ideogram Launches StylesClaude Rolls Out Chat Memory for UsersTimestamps:00:00 OpenAI Launches AI Job Platform03:43 AI Skills Boost Salaries, New Platform07:59 Atlassian Acquires The Browser Company12:54 AI Models and Guesswork Issues15:08 AI Hallucinations vs. Uncertainty17:49 Apple-Google AI Integration Unveiled22:07 OpenAI Pursues Custom AI Chips28:59 "Warner Bros. Sues Midjourney"32:38 Anthropic Settles Copyright Lawsuit35:04 Google Avoids Chrome, Android Sale37:47 AI News: Rumors and ReleasesKeywords:OpenAI, AI news, Google, Gemini, Apple, Siri upgrade, large language models, AI hallucinations, AI job board, LinkedIn competitor, AI certification, ChatGPT, ChatGPT Enterprise, prompt engineering, Walmart AI training, Microsoft, AI salary premium, multimodal learning, NotebookLM, Perplexity Comet browser, AI agentic browser, Atlassian, The Browser Company, DIA browser, AI-powered browsing, enterprise AI, Anthropic, AI copyright lawsuit, Warner Brothers Discovery, Midjourney, Disney, Universal, AI intellectual property, image generation AI, AI model training data, Broadcom, AI chips, NVIDIA alternative, custom AI chip, data centers, US AI investment, Mark Zuckerberg, Meta, Apple manufacturing, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
Google's AI overviews now appear in over 50% of search results. Duane Forrester, founder and CEO of UnboundAnswers.com and former Microsoft search engine insider, shares how his unique perspective from inside search engines informs adaptation strategies for the current AI transformation. The discussion covers machine trust fundamentals through structured data implementation, content chunking strategies for LLM consumption, and the critical shift from traditional keyword targeting to goal-oriented content creation that serves both human readers and AI systems.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Three leading ISV executives from Coveo, DTEX Systems and Honeycomb, reveal how companies with proprietary datasets are gaining unbeatable competitive advantages in the AI era and share real-world strategies how you have similar outcomes.Topics Include:Panel introduces three ISV leaders discussing data platform transformation for AIDTEX focuses on insider threats, Coveo on enterprise search, Honeycomb on observabilityCompanies with proprietary datasets gain strongest competitive advantage in AI transformationData gravity concept: LLMs learning from unique datasets create defensible business positionsCoveo maintains unified enterprise index with real-time content and access rights syncHoneycomb enables subsecond queries for analyzing logs, traces, and metrics at scaleMulti-tenant architectures balance shared infrastructure benefits with single-tenant data separationCoveo deployed 140,000 times last year using mostly multi-tenant, some single-tenant componentsDTEX scaled from thousands to hundreds of thousands endpoints after architectural transformationCapital One partnership taught DTEX how to break monolithic architecture into servicesApache Iceberg and open table formats enable interoperability without data duplicationHoneycomb built custom format following similar patterns with hot/cold storage tiersBusiness data catalogs become critical for AI agents understanding dataset contextMCP servers allow AI systems to leverage structured cybersecurity datasets effectivelyDTEX used Cursor with their data to identify North Korean threat actorsReal-time AI data needs balanced with costs using right models for jobsCaching strategies and precise context reduce expensive LLM inference calls unnecessarilySearch remains essential for enterprise AI to prevent hallucination and access informationROI measurement focuses on cost reduction, analyst efficiency, and measurable business outcomesKey takeaway: invest in data structure early, context is king, AI is just softwareParticipants:Sebastien Paquet - Vice President of AI Strategy, CoveoRajan Koo - CTO, DTEX SystemsPatrick King - Head of Data, Honeycomb.ioKP Bhat - Sr Solutions Architecture Leader- Analytics & AI, Amazon Web ServicesFurther Links:Coveo: Website – LinkedIn – AWS MarketplaceDTEX Systems: Website – LinkedIn – AWS MarketplaceHoneycomb.io: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Brad Frazer is a Boise-based attorney and partner at Hawley Troxell, Idaho's largest law firm, where he leads the Intellectual Property & Internet practice group with a specific focus in IP Strategy, AI, Data Security, and IT. A graduate of BYU, UC Hastings, and the University of Utah, Brad has decades of experience in cybersecurity, internet law, and IP, including roles as Deputy General Counsel at major tech firms. He's also a published novelist and a recognized expert in emerging technologies like blockchain, NFTs, and Web3. Richard Hundhausen helps software organizations and teams deliver better products by understanding and leveraging Azure DevOps and Scrum. He is a Professional Scrum Trainer and author of Professional Scrum with Azure DevOps (MS Press). As a software developer and consultant with over 30 years of experience, he understands that software is built and delivered by people and not by processes or tools. Topics of Discussion: [2:24] Richard and Brad share their enthusiasm for AI, and they discuss the legal implications of using AI-generated code. [4:00] Brad explains that ownership of AI-generated code is academic until legal issues arise, such as lawsuits or investment rounds. [5:29] Richard explains the process of using AI tools to create code, emphasizing the iterative nature of the process. [8:02] The nuances of copyright law, including the need for human authorship to establish ownership. [10:57] How one gets a registered copyright. [14:19] The different things that AI-driven development can mean. [19:44] Risk avoidance practices as a coder. [23:46] Brad advises software developers to be aware of the legal environment and the potential risks of using AI tools. [24:59] What is an AI output, and what is just the computer being helpful? [32:35] Brad shares a real-world example of a $20 million deal where the seller did not own the code, highlighting the potential risks. [38:38] Brad mentions the Anthropic case, where the company was sued for training its LLM on copyrighted material. [41:22] Richard and Brad discuss the importance of raising awareness and providing resources to help developers understand the legal implications of using AI tools. Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Brad Frazer LinkedIn Richard Hundhausen LinkedIn Thaler vs. Perlmutter Bartz v. Anthropic Who Owns the Code? Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.
e528 with Michael, Andy and Michael - stories and discussion on #AI #ImageEditing with #NanoBanana, #GAN enabled #LLM evolution with #R-Zero, #MentraOS #OpenSource #SmartGlasses, #AutomotiveSoftware, #MakingMonsters, #OfficeJob, #Kazeta and more!
Dans cet épisode, nous revenons sur les tragiques suicides de plusieurs personnes après des échanges avec ChatGPT. OpenAI annonce des mesures de sécurité. Seront-elles efficaces ?Avec Bruno Guglielminetti, du podcast Mon Carnet de Montréal
Monter une boîte en Master 1 ?Bosser au McDo pour payer ses études ?Revendre Germinal et monter juste après OnlyDust aux US.C'est le parcours sans filtre de Grégoire Gambatto.OnlyDust, c'est une plateforme qui connecte les développeurs du monde entier et leur permet de collaborer sur des projets open source.Dans cet épisode, il nous raconte comment il est passé de Grenoble à San Francisco, en gardant la même énergie et une ambition XXL.On parle :
This episode is part of the AI Summary series covering the AI Search Manual chapter by chapter. Chapter 11 looks at how to build a content strategy for LLM-centric discovery, where AI systems—not just search engines—are the ones retrieving and synthesizing information.We explore how GEO content production starts with data-backed strategy, using tools like query and entity matrices to capture the full scope of a topic. The discussion then moves into practical steps for writing content that AI can understand, including semantic chunking, semantic triples, and the use of unique, specific insights that stand out in retrieval.The episode also highlights why entity co-occurrence and disambiguation matter, how structured data can go beyond Schema.org with custom ontologies and internal knowledge graphs, and why readability, originality, and diversified formats improve retrieval and citation. Finally, we outline the three laws of generative AI content, which clarify how AI should augment but not replace content strategy.Read the full chapter at ipullrank.com/ai-search-manual
Hvordan påvirker brugen af generativ AI vores evne til at tænke og resonere selvstændigt?Allerede nu har vi svært ved at huske telefonnumre eller at finde vej, fordi vi har overladt de opgaver til vores smartphone. Spørgsmålet er, hvad der sker med os, når vi overlader endnu flere opgaver til services som ChatGPT og Grok? Har det indflydelse på vores evne til indlæring og til at tænke kritisk?Forskere taler om kognitiv aflæring, og de første studier i fænomenet er lavet. På den anden side kan generativ AI også gøre os bedre og hurtigere til at løse svære opgaver. Så svaret er ikke entydigt.Medvirkende:Nanna Inie, lektor ph.d., ITU med speciale I human-computer interaction og LLM-safety.Tilrettelæggelse og interview: Janni DeneckeRedaktør og vært: Henrik FøhnsLinks:Nanna Iniehttps://www.linkedin.com/in/nannainie/MIT Studiehttps://www.media.mit.edu/projects/your-brain-on-chatgpt/overview/Microsofts studie i AI og kritisk tænkninghttps://www.microsoft.com/en-us/research/wp-content/uploads/2025/01/lee_2025_ai_critical_thinking_survey.pdf
Patrocinado por Fleet:Fleet simplifica la gestión IT con equipos bajo suscripción, MDM, soporte global y renovación fácil. Ya confían +2000 empresas.https://get.fleet.co/es/itnig-x-fleetEn este episodio charlamos con Pablo Palafox, fundador de Happy Robot, la “AI workforce” que está automatizando el trabajo repetitivo en la economía real: logística, transporte, energía y más. Pasamos del titular “sois el call center de la IA” a entender por qué su primer nicho (freight brokers) ya les da para construir un negocio grande y cómo sus agentes conversacionales por teléfono, email y SMS, negocian mejor que humanos, hacen customer quoting, check calls, payment collections y recruiting, integrándose con los sistemas del cliente y orquestando operaciones a escala.Pablo cuenta el viaje: pivot desde computer vision, entrada en Y Combinator, lanzamiento del primer cliente en 2024, y crecimiento acelerado que culmina en serie A con a16z y una ronda posterior significativa. Entramos al detalle técnico de su plataforma: workflow builder low-code para conectar herramientas y procesos, orquestador propio de voz (STT/LLM/TTS), detección de fin de turno de habla, reducción de latencia, guardrails y auditoría de calidad.También hablamos de anécdotas como dos bots negociando entre sí, 100.000 llamadas/día en picos, y de márgenes negociados del 20–22% en algunos casos. Más allá de la tecnología, desgranamos el go-to-market enterprise: el rol de los Forward Deployed Engineers (mezcla de producto, ventas y éxito de cliente), cómo enfocan pricing por uso vs. por resultados (minutos, emails, por llamada o outcome-based), por qué han empezado muy verticalizados en logística, y cómo están expandiendo a energía y navieras (mencionan clientes globales) sin perder foco. Tocamos el marco legal y ético (divulgación de IA en Europa vs. EE. UU.), el impacto en empleo (“¿qué pasa con el humano desplazado?”) y por qué San Francisco sigue siendo el mejor sitio para vender y financiar producto deep-tech, mientras abren presencia en Europa para captar talento.
Demoscene alla riscossa. Il museo dei media obsoleti. Cena a casa Trump. La Svizzera presenta un LLM veramente open. Documenti d'identità nel dark web. Queste e molte altre le notizie tech commentate nella puntata di questa settimana.Dallo studio distribuito di digitalia:Franco Solerio, Michele Di Maio, Francesco FacconiProduttori esecutivi:Joanpiretz, @Pi, Nicola Gabriele Del Popolo, Pierpaolo Taffarello, Francesco Paolo Sileno, Giuseppe Benedetti, Roberto Barison, Arzigogolo, Federico Bruno, Paolo Bernardini, Marco Zambianchi (Astronauticast), Matteo Arrighi, Maurizio Verrone, Arnoud Van Der Giessen, Matteo Faccio, Nicola Carnielli, Manuel Zavatta, Giuliano Arcinotti, Andrea Casarini, Alex Ordiner, Giulio Gabrieli, Stefano Orso, Davide Tinti, Flavio Castro, @Jh4Ckal, Marcello Piliego, Massimo Dalla Motta, @Matiz, Maurizio Galluzzo, Massimiliano Casamento, Adriano Guarino, Christian A Marca, Matteo Masconale, Andrea Scarpellini, Fabrizio Bianchi, Davide Fogliarini, Danilo Sia, Antonio Turdo, Pasquale Maffei, Matteo De Lucia, Davide Corradini, Nicola Pedonese, ma7u, Paolo Lucciola, @Akagrinta, Simone Pignatti, Michele Coiro, Massimo Passerini, Yoandi Herrera, Matteo Carpentieri, Giorgio Beggiora, Christian Fabiani, Massimiliano SaggiaSponsor:Links:Interview with demoscener – 0b5vr | 6octaves2 Minute Deep Acid in StrudelMusic Screeners (1995) | Museum of Obsolete MediaTesla offers $1 trillion to Elon Musk to unleash his robotsTech leaders take turns flattering Trump at White House dinnerMattarella: La Ue non ha mai scatenato un conflitto.Il Regno Unito ha deciso di rinunciare alla backdooorSwitzerland releases an open-weight AI modelLa preistoria digitaleLa Commissione europea multa GoogleGoogle gets to keep Chrome but is barred from exclusive search dealsWhat Will Happen to Google After the Antitrust Ruling?The Browser Company is being acquired by AtlassianHumans are being hired to make AI slop look less sloppyÈ tutto bello o bellissimoThis Company Turns Dashcams into ‘Virtual CCTV Cameras.'WiFi signals can measure heart rateno wearables neededRubate 70 mila scansioni di documenti agli hotelVW introduces monthly subscription to increase car powerGingilli del giorno:Wanderer - self-hosted trail databaseAirTrail - self-hosted flight tracker and statisticsKeygen Music - una libreria di musiche di keygenSupporta Digitalia, diventa produttore esecutivo.
What's happening with the latest releases of large language models? Is the industry hitting the edge of the scaling laws, and do the current benchmarks provide reliable performance assessments? This week on the show, Jodie Burchell returns to discuss the current state of LLM releases.
We had the privilege of hosting Peter Belcak – an AI Researcher working on the reliability and efficiency of agentic systems at NVIDIA – who walked us through his new paper making the rounds in AI circles titled “Small Language Models are the Future of Agentic AI.”The paper posits that small language models (SLMs) are sufficiently powerful, inherently more suitable, and necessarily more economical for many invocations in agentic systems, and are therefore the future of agentic AI. The authors' argumentation is grounded in the current level of capabilities exhibited by SLMs, the common architectures of agentic systems, and the economy of LM deployment. The authors further argue that in situations where general-purpose conversational abilities are essential, heterogeneous agentic systems (i.e., agents invoking multiple different models) are the natural choice. They discuss the potential barriers for the adoption of SLMs in agentic systems and outline a general LLM-to-SLM agent conversion algorithm.Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
Katrena is an expert in personal brand development and the founder of the Business Mentor Institute. A leader in business mentoring with over 25 years' experience, Katrena transforms professionals into industry leaders and is a pioneer in personal brand development and business mentoring. As the creator of the acclaimed Becoming the Expert methodology, Katrena has guided thousands of aspiring consultants, coaches, and executives to build thriving, purpose-driven businesses.Summary of the PodcastKey TakeawaysKatrena offers a unique 12-month coaching program with unlimited access, focusing on building personal brand businessesHer approach includes creating multiple income streams (book, speaking, training, coaching, facilitation, consulting) for clientsKatrena emphasizes the importance of addressing psychological barriers and balancing masculine/feminine energies in entrepreneurshipThe podcast hosts reflect on the value of personal branding through podcasting vs. book writingKatrena's Coaching Approach12-month program with unlimited access for clientsFocuses on deep, meaningful relationships rather than arm's-length coachingMaximum of 20 clients per year, with groups of 5 active at a timeFirst 90 days involve heavy lifting: building assets (book, website, brand, signature program, social media)Combines business strategy with therapeutic coaching to address psychological barriersPersonal Brand Business DevelopmentCreates 7 streams of income for clients: book, speaking, training, coaching, mentoring, facilitation, consultingWrites the client's book in 7-30 days, based on a two-day kickoff sessionBuilds website, brand, and signature program (valued at $5k-$20k)Targets both career transitioners (often 50+ years old) and young entrepreneursTherapeutic Coaching ElementsAddresses introvert vs. extrovert challengesBalances masculine and feminine energiesTackles limiting beliefs from childhood experiencesUses a light trance state to access the unconscious mind for rapid changePublic Speaking and TED TalksKatrena prefers a free-flowing, channeled speaking styleFound TED Talk format too restrictive and memorization-heavyTrains clients to speak confidently without scripts or extensive memorizationPodcast vs. Book for Personal BrandingHosts reflect on podcasting as a potentially quicker route to personal brandingPodcasts offer exposure to new audiences and showcase a personality more easilyBooks are still valuable as "expensive business cards" and confidence-buildersThe Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled ten years ago to help business owners and marketers market to affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, where he introduces AI Agents that you can talk to, that increase engagement, dwell time, leads and conversions. Now, Graham is offering Answer Engine Optimisation that gets you ready to be found by LLM search.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of
Happy Friday, everyone! Hopefully you got some time to rest and recharge over the Labor Day weekend. After a much needed break, I'm back with a packed lineup of four big updates I feel are worth you attention. First up, MIT dropped a stat that “95% of AI pilots fail.” While the headlines are misleading, the real story raises deeper questions about how companies are approaching AI. Then, I break down some major shifts in the model race, including DeepSeek 3.1 and Liquid AI's completely new architecture. Finally, we'll talk about Google Mango and why it could be one of the most important breakthroughs for connecting the dots across complex systems.With that, let's get into it.⸻What MIT Really Found in Its AI ReportMIT's Media Lab released a report claiming 95% of AI pilots fail, and as you can imagine, the number spread like wildfire. But when you dig deeper, the reality is not just about the tech. Underneath the surface, there's a lot of insights on the humans leading and managing the projects. Interestingly, general-purpose LLM pilots succeed at a much higher clip, while specialized use cases fail when leaders skip the basics. But that's not it. I unpack what the data really says, why companies are at risk even if they pick the right tech, and shine a light on what every individual should take away from it.⸻The Model Landscape Is Shifting FastThe hype around GPT-5 crashed faster than the Hindenburg, especially since hot on the heels of it DeepSeek 3.1 hit the scene with open-source power, local install options, and prices that undercut the competition by an insane order of magnitude. Meanwhile, Liquid AI is rethinking AI architecture entirely, creating models that can run efficiently on mobile devices without draining resources. I break down what these shifts mean for businesses, why cost and accessibility matter, and how leaders should think about the expanding AI ecosystem.⸻Google Mango: A Breakthrough in ComplexityGoogle's has a new, also not so new, programming language, Mango, which promises to unify access across fragmented databases. Think of it as a universal interpreter that can make sense of siloed systems as if they were one. For organizations, this has the potential to change the game by helping both people and AI work more effectively across complexity. However, despite what some headlines say, it's not the end of human work. I share why context still matters, what risks leaders need to watch for, and how to avoid overhyping this development.⸻A Positive Use Case: Sales Ops TransformationTo close things out, I made some time to share how a failed AI initiative in sales operations was turned around by focusing on context, people, and process. Instead of falling into the 95%, the team got real efficiency gains once the basics were in place. It's proof that specialized AI can succeed when done right.⸻If this episode was helpful, would you share it with someone? Leave a rating, drop a comment with your thoughts, and follow for future updates that help you lead with clarity in the AI age. And, if you'd take me out for a coffee to say thanks, you can do that here: https://www.buymeacoffee.com/christopherlind—Show Notes:In this Weekly Update, Christopher Lind breaks down MIT's claim that 95% of AI pilots fail, highlights the major shifts happening in the model landscape with DeepSeek and Liquid AI, and explains why Google Mango could be one of the most important tools for managing complexity in the enterprise. He also shares a real-world example of a sales ops project that proves specialized AI can succeed with the right approach.Timestamps:00:00 – Introduction and Welcome01:28 – Overview of Today's Topics03:05 – MIT's Report on AI Pilot Failures23:39 – The New Model Landscape: DeepSeek and Liquid AI40:14 – Google Mango and Why It Matters47:48 – Positive AI Use Case in Sales Ops53:25 – Final Thoughts#AItransformation #FutureOfWork #DigitalLeadership #AIrisks #HumanCenteredAI
In this episode of The Long Game Podcast, David Ly Khim interviews Michael Walrath, CEO and Chairman of Yext. Known for building and exiting multiple companies—including RightMedia and Moat—Michael shares how Yext evolved from a local lead-gen platform to a digital presence powerhouse. He dives deep into the fragmentation of search, the shift toward generative engines, and the rise of “agentic” AI-powered experiences. With candid reflections on strategy pivots and digital transformation, Michael urges marketers to rethink discoverability, measurement, and structured content in an era where your next customer might not be human, but an AI assistant making decisions on their behalf.Key TakewaysYext's Strategic Pivots: The company evolved from call-based lead gen to local visibility, to enterprise search—each requiring bold but risky reinvention.Google Dominance Has Peaked: With 92%+ of search traffic once flowing through Google, that landscape is now fragmenting due to LLMs and AI agents.Structured Data Drives Discovery: Clean, contextualized data remains a marketer's best lever for visibility—whether on Google or in LLM-powered engines.Brand Visibility Beats SEO Rankings: As AI agents answer more queries, brands must optimize for visibility across platforms, not just search engine results pages.The Agentic Web Is Coming: AI assistants with memory and context will handle more decision-making—marketers must build for both humans and machines.AI Shifts Are Already Here: Yext observed traffic shifts 6+ quarters ago—marketers should act now, not wait, to influence AI results.Reframing Attribution: Zero-click answers and agentic transactions require a shift from traditional web metrics to outcome-focused measurement.Show LinksVisit Visit Yext on Linkedin and XConnect with Michael Walrath on LinkedInConnect with David Khim on LinkedIn and TwitterConnect with Omniscient Digital on LinkedIn or TwitterSome interviews you might enjoy and learn from:Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO)Building Competitive Marketing Content with Sam Chapman (Aprimo)How to Build the Right Data Workflow with Blake Burch (Shipyard)Data-Driven Thought Leadership with Alicia Johnston (Sprout Social)Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath)Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency:Blue Ocean vs Red Ocean SEOShould You Hire Writers or Subject Matter Experts?How Do Growth and Content Overlap?Connect with Omniscient Digital on social:Twitter: @beomniscientLinkedin: Be OmniscientListen to more episodes of The Long Game podcast here: https://beomniscient.com/podcast/
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Nick Frosst is a Canadian AI researcher and entrepreneur, best known as co-founder of Cohere, the enterprise-focused LLM. Cohere has raised over $900 million, most recently a $500 million round, bringing its valuation to $6.8 billion. Under his leadership, Cohere hit $100M in ARR. Prior to founding Cohere, Nick was a researcher at Google Brain and a protégé of Geoffrey Hinton. AGENDA: 00:00 – Biggest lessons from Geoff Hinton at Google Brain? 02:10 – Did Google completely sleep at the wheel and miss ChatGPT? 05:45 – Is data or compute the real bottleneck in AI's future? 07:20 – Does GPT5 Prove That Scaling Laws are BS? 13:30 – Are AI benchmarks just total BS? 17:00 – Would Cohere spend $5M on a single AI researcher? 19:40 – What is nonsense in AI that everyone is talking about? 25:30 – What is no one talking about in AI that everyone should be talking about? 33:00 – How do Cohere compete with OpenAI and Anthropic's billions? 44:30 – Why does being American actually hurt tech companies today? 45:10 – Should countries fund their own models? Is model sovereignty the future? 52:00 – Why has Sam Altman actually done a disservice to AI?
What if meetings stopped draining your time and instead became engines for action? That's the question driving Christoph Fleischmann, CEO of Arthur AI, and the conversation in today's episode of Tech Talks Daily. Christoph has spent his career at the intersection of human potential and technology, and now he's leading a company that wants to change how enterprises actually get work done. Arthur AI isn't another tool to add to the stack. It's a digital co-worker—an intelligent presence that joins meetings, captures knowledge, and keeps teams aligned across time zones and formats. Whether in XR spaces, on the web, or through conversational interfaces, Arthur AI blends real-time and asynchronous collaboration. The aim is to replace endless, inefficient meetings with something more dynamic: an environment where humans and AI collaborate side by side to deliver outcomes. This conversation goes beyond theory. Christoph shares how Fortune 500 companies are already using Arthur AI to align global strategies, manage complex transformations, and modernize learning and development programs. He explains how their platform is built on enterprise-grade security and a flexible, LLM-agnostic architecture—critical foundations for companies wary of vendor lock-in or compliance risks. We also touch on the cultural shift of inviting AI to take a real seat at the table. From interviewing and project management to knowledge sharing, Arthur AI represents a new category of work experience, one where digital co-workers support people rather than replace them. For leaders tired of meetings that go nowhere and knowledge trapped in silos, this episode offers a glimpse of what smarter, faster collaboration looks like at scale. Could the blueprint for the future of digital work already be here? ********* Visit the Sponsor of Tech Talks Network: Land your first job in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA
Here's the thing. Most enterprise AI talk today starts with chatbots and ends with glossy demos. Meanwhile, the data that actually runs a business lives in rows, columns, and time stamps. That gap is where my conversation with Vanja Josifovski, CEO of Kuma.ai, really comes alive. Vanja has spent two and a half decades helping companies turn data into decisions, from research roles at Yahoo and Google to steering product and engineering at Pinterest through its IPO and later leading Airbnb Homes. He's now building Kuma.ai to answer an old question with a new approach: how do you get accurate, production-grade predictions from relational data without spending months crafting a bespoke model for each use case? Vanja explains why structured business data has been underserved for years. Images and text behave nicely compared to the messy reality of multiple tables, mixed data types, and event histories. Traditional teams anticipate a prediction need, then kick off a long feature engineering and modeling process. Kuma's Relational Foundation Model, or RFM, flips that script. Pre-trained on a large mix of public and synthetic data warehouses, it delivers task-agnostic, zero-shot predictions for problems like churn and fraud. That means you can ask the model questions directly of your data and get useful answers fast, then fine-tune for another 15 to 20 percent uplift when you're ready to squeeze more from your full dataset. What stood out for me is how Kuma removes the grind of manual feature creation. Vanja draws a clear parallel to computer vision's shift years ago, when teams stopped handcrafting edge detectors and started learning from raw pixels. By learning directly from raw tables, Kuma taps the entirety of the data rather than a bundle of human-crafted summaries. The payoff shows up in the numbers customers care about, with double-digit improvements against mature, well-defended baselines and the kind of time savings that change roadmaps. One customer built sixty models in two weeks, a job that would typically span a year or more. We also explore how this fits with the LLM moment. Vanja doesn't position RFM as a replacement for language models. He frames it as a complement that fills an accuracy gap on tabular data where LLMs often drift. Think of RFM as part of an agentic toolbox: when an agent needs a reliable prediction from enterprise data, it can call Kuma instead of generating code, training a fresh model, or bluffing an answer. That design extends to the realities of production as well. Kuma's fine-tuning and serving stack is built for high-QPS environments, the kind you see in recommendations and ad tech, where cost and latency matter. The training story is another thread you'll hear in this episode. The team began with public datasets, then leaned into synthetic data to cover scenarios that are hard to source in the wild. Synthetic generation gives them better control over distribution shifts and edge cases, which speeds iteration and makes the foundation model more broadly capable upon arrival. If you care about measurable outcomes, this episode shows why CFOs pay attention when RFM lands. Vanja shares examples where a 20 to 30 percent lift translates into hundreds of thousands of additional monthly active users and direct revenue impact. That kind of improvement isn't theory. It's the difference between a model that nudges a metric and a model that moves it. By the end, you'll have a clear picture of what Kuma.ai is building, why relational data warrants its own foundation model, and how enterprises can move from wishful thinking to practical wins. Curious to try it yourself? Vanja also points to a sandbox where teams can load data and ask predictive questions within a notebook, then compare results against in-house models. If your AI plans keep stalling on tabular reality, this conversation offers a way forward that's fast, accurate, and designed for the systems you already run.
(0:00) Bestie intros: The Moose is loose at J-Cal Ranch! (0:46) All-In Summit updates, Jason's new program (9:45) Trump vs the Federal Reserve: Is the Fed partisan, what should a modern Fed look like? (36:45) US-Intel Deal: Sustainability, China comparison, could deals like this save Social Security? (51:37) US Sovereign Wealth Fund (58:41) Why corporate bankruptcies are trending up in 2025 (1:12:12) OpenAI's novel LLM-based approach to longevity research Join us at the All-In Summit: https://allin.com/summit Summit scholarship application: http://bit.ly/4kyZqFJ Get The Besties All-In Tequila: https://tequila.allin.com Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://www.mena.launch.co https://www.politico.com/news/2025/08/25/trump-says-hes-firing-federal-reserve-governor-lisa-cook-00523841 https://www.nytimes.com/2025/08/28/us/politics/lisa-cook-trump-fed-lawsuit.html https://www.housingwire.com/articles/pulte-cook-new-criminal-referral-mortgage-fraud https://truthsocial.com/@realDonaldTrump/posts/115092130707196133 https://www.bloomberg.com/news/articles/2025-08-28/us-puts-gdp-data-on-the-blockchain-in-trump-crypto-push https://www.cnbc.com/2021/06/10/cpi-may-2021.html https://www.bloomberg.com/news/articles/2021-06-05/yellen-sees-recent-inflation-as-transitory-rather-than-permanent https://www.federalreserve.gov/newsevents/speech/powell20210827a.htm https://www.npr.org/2021/11/22/1052741845/biden-reappoints-jerome-powell-as-federal-reserve https://blockworks.co/news/powell-we-can-retire-the-term-transitory-inflation https://www.statista.com/chart/28437/interest-rate-hikes-in-past-tightening-cycles https://www.firstlinks.com.au/druckenmiller-biggest-mistake-history-fed https://www.pbs.org/newshour/economy/u-s-inflation-at-9-1-percent-a-record-high https://www.reuters.com/markets/us/futures-slip-last-trading-day-torrid-year-2022-12-30 https://www.warren.senate.gov/imo/media/doc/warren_hickenlooper_whitehouse_letter_to_fed_re_september_rate_cut.pdf https://www.washingtonpost.com/technology/2025/08/22/trump-says-intel-ceo-agreed-give-us-government-10-billion https://truthsocial.com/@realDonaldTrump/posts/114987288040725570 https://www.dallasnews.com/opinion/commentary/2025/08/08/time-for-a-pledge-to-control-government-spending https://www.spglobal.com/market-intelligence/en/news-insights/articles/2025/8/july-us-corporate-bankruptcy-filings-hit-highest-monthly-total-in-5-years-91873904 https://x.com/Pavel_Asparagus/status/1960369680457113764 https://demo.trypicnic.com https://seekingalpha.com/news/4490024-q2-gdp-growth-revised-higher-to-33-pce-increase-revised-lower-to-20 https://www.wsj.com/real-estate/commercial/the-bill-is-coming-due-on-a-record-amount-of-commercial-real-estate-debt-451ec8cb https://openai.com/index/accelerating-life-sciences-research-with-retro-biosciences
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