Podcasts about ai llm

Stop the Hype, Start the ProfitThe era of experimental AI pilot projects is over. For C-Suite leaders in the Energy Industry and complex infrastructure, the mandate is clear: deliver quantifiable ROI from AI.This special AI Unraveled episode is a direct sample of our AI-Powered Executive Briefings. We provide a crucial five-minute insight into The Commercial Impact of Large Language Models (LLMs) on Energy Infrastructure, demonstrating the critical shift from technology research to strategic, P&L-linked deployment.Our briefing cuts through vendor hype, focusing on hard engineering outcomes. We treat Gen AI as a critical engineering tool to solve enterprise problems like asset reliability, grid optimization, and OPEX reduction. If you're struggling to bridge the gap between AI lab work and boardroom strategy, this briefing is your first step toward a robust AI roadmap.Key Strategic & Technical TakeawaysGen AI as an Efficiency Tool: Understand why the main application in energy is not chatbots, but unlocking latent capacity and safely eroding conservative safety margins in physical infrastructure.The MLOps Challenge: The true hurdle is not model creation, but MLOps (Machine Learning Operations)—the ability to securely deploy, govern, and continuously monitor complex models at enterprise scale in regulated environments.Quantifiable Return: Hear data on how industrial AI users achieve significant results, including energy savings averaging 23% and CO2 reductions of 24% through optimized upstream operations. Use this data to justify capital expenditure.C-Suite Alignment: Learn how one concise brief ensures your entire leadership team has a shared, defensible vision for AI transformation.Your Strategist: Bridging Engineering and the BoardroomThis strategic insight is delivered by Etienne Noumen, Senior Software Engineer and the host of AI Unraveled.Etienne provides the builder's perspective—someone who designs, deploys, and governs production-ready AI/LLM systems. He specializes in bridging deep-tech engineering with clear boardroom strategy, ensuring your roadmap is feasible, scalable, secure, and ambitious.Why Djamgatech Briefings? We replace ambiguous consulting reports with actionable, 5-minute audio intelligence briefings and a clear governance framework, moving you from planning to decisive execution.Action Steps: Request Your Private ConsultationReady to stop wasting budget on hype and adopt an AI strategy directly tied to the P&L?We offer limited slots for a private, no-obligation consultation to design your customized, defensible AI roadmap.➡️ Request Your Private Consultation Here: https://forms.gle/YHQPzQcZecFbmNds5Connect & Learn MoreLearn more about our Executive Briefings: https://djamgatech.com/djamgatech-executive-briefings-ai-powered-strategic-insightConnect with Etienne Noumen on LinkedIn: https://linkedin.com/in/enoumenKeywords: AI Strategy, Generative AI for Energy, CTO Roadmap, Executive Briefing, MLOps, Strategic Alignment, Asset Reliability, ROI, OPEX Reduction, Digital Transformation, AI Governance, Etienne Noumen

まさかこんなことでローカルLLMを触ることになるとはｗｗ

AI Daily Rundown: October 22, 2025:Welcome to AI Unraveled, Your daily briefing on the real world business impact of AIIn Today's edition:

Wejdź na stronę https://zlapaniwsiec.pl/94, znajdziesz tam wersję video oraz e-book z dodatkowymi materiałami. Koniecznie polub „Złapanych” na Facebooku: https://www.facebook.com/ZlapaniwSiecplPodcast wspierają marki: Domeny.tv MSERWIS.pl — narzędzia dla e-biznesu: hosting, sklepy i strony www.Szczegóły rozmowy z Arturem:03:20

AGI in the Near Term or AI Bubble? The True State of AI (LLM Limits, World Models, and the Profit Puzzle Behind AI's Biggest Claims)

Alex Shevchenko is the Co-Founder of Aurora & Defuse, pioneering next-gen UX with Intents and Chain Signatures for an agentic, user-first future. Defuse Labs develops NEAR Intents to enable seamless cross-chain interactions in an automated world, connecting AI, services, and financial applications. Alex is on a mission to make blockchain invisible, creating seamless, secure, and intuitive crypto experiences for everyday users.In this conversation, we discuss:- In crypto, we have investors, not users - AI & Intents - User-owned AI - Building Rainbow Bridge and Aurora - Decentralized Confidential Machine Learning (DCML) - The AI LLM lifecycle - How AI agents will power the crypto economy - The importance of chain abstraction - NEAR intents are unlocking autonomous finance - Creating intuitive automated agent workflows - AI agents that can transact, adapt, and execute cross-chainAurora Labs Website: auroralabs.devX: @auroraisnearDiscord: discord.gg/auroralabsAlex ShevchenkoX: @AlexAuroraDevLinkedIn: Alex Shevchenko---------------------------------------------------------------------------------This episode is brought to you by PrimeXBT.PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers.  PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions. Code: CRYPTONEWS50 This promotion is available for a month after activation. Click the link below: PrimeXBT x CRYPTONEWS50

*以下はAIによる要約です*今回の「フリーアジェンダ」は、メモをきっかけにAI（LLM）ばりのトークが連発する、いつも以上に予測不能な展開に！ 「川上・川下議論と小売り業、そして情報のおろし売り・小売り」というテーマ: hikaruさんが1ヶ月以上前にメモしたこのお題からスタート。yamottyがその文脈を知らないままテーマを推察「キングダムではやはり騰の話がしたい」: 次のテーマもhikaruさんのメモからyamottyがキングダムの「騰」についてAI（LLM）のように語る「騰」の魅力とhikaruさんの共感: メルカリでの「ファルファルする」といういじりからキングダムを読み始め、無血開城や対局的な統治視点を持つ「騰」に自分との共通点を見出しています。「法とは国がどうありたいかという願い」: 「騰」の魅力から派生し、李斯の「法とは国がどうありたいかという願いのことだ」という言葉に深く共感する二人の熱い漫画談義が展開されます。大人たちの漫画ライフ: 映画は眠くなるが漫画は没入できると語るhikaruさんが、「九条の大罪」や「ゴールデンドロップ」といったアウトロー漫画に触れながら、漫画喫茶が苦手でTSUTAYAで大量に借りて読む「悪魔的な贅沢」を満喫しているエピソードも。変化する漫画市場とGEOの戦略: デジタル化が進み、TSUTAYAのようなリアル店舗が減少する中で、GEOが「ラストマンシップによる利益」を上げているという市場の興味深い動きにも言及。漫画インフルエンサー: 大人になっても漫画は日本人を救っていると語り、ドングリFMのnarumiさんの紹介で漫画を買うというyamotty。▼お便りや感想はこちらからお待ちしています。⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://forms.gle/73RW6Fq7TWMJpfNx9⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠採用された方には、何かノベルティをお送りします。▼フリーアジェンダとは...メルカリでグロースを務めてきた@hik0107と株式会社10Xの創業者&代表である@yamotty3 が仕事のことから哲学、雑談など話すPodcastです。名は体を表す、という諺どおり、かっちりしたアジェンダなく二人のその時のバイブスによって思いついたままに話す、まさに「フリーアジェンダ」なスタイルが特徴。▼有料コミュニティはこちら⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://community.camp-fire.jp/projects/view/318756⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠▼Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠FREE AGENDA⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ /⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yamotty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  /⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hikaru⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠▼配信アカウント⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ /⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ /⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Anchor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ /⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠note⁠

Hey ho, welcome to the Publishing Nerd Corner, where we dive into the more technical aspects of authorship.Jess here. I love it when Sarina schools me on all things publishing nerdery, so we decided to make it official and create a whole new series. I have a long list of things I want her to explain for us, so stay tuned for more. In the meantime, our first Nerd Corner chat is a timely episode about the Anthropic case specifically and registering your copyright specifically. We're going to discuss: * The benefits of registering your copyright with the United States Copyright Office. * The possibility of a settlement in the Anthropic lawsuit, and what that could mean for authors.* Why copyright registration will be part of any potential settlement.* How to register your copyright.* Did your publisher fulfill its obligation to register your copyright?For more information about the benefits of copyright registration, see the Copyright Alliance To register your copyright yourself, you'll need Copyright.gov. You will also want to read the Authors Guild post about, “What Authors Need to Know About the Anthropic Settlement”Hit that “play” button and nerd out with us for fifteen minutes! Transcript below!EPISODE 466 - TRANSCRIPTJess LaheyHey, it's Jess Lahey. If you've been listening to the Hashtag AmWriting Podcast for any length of time, you know that, yes, I am a writer, but my true love, my deepest love, is combining writing with speaking. I get to go into schools, into community organizations, into nonprofits, into businesses, and do everything from lunch-and-learns, to community reads, to just teaching about the topics that I'm an expert in. From the topics in The Gift of Failure, engagement, learning, learning in the brain, cognitive development, getting kids motivated, and yes, the topic of over parenting and what that does to kids learning, to topics around The Addiction Inoculation, substance use prevention in kids, and what I've been doing lately that's the most fun for me, frankly, is combining the two topics. It makes the topic of substance use prevention more approachable, less scary when we're talking about it in the context of learning and motivation and self-efficacy and competence and, yes, cognitive development. So if you have any interest in bringing me into your school, to your nonprofit, to your business, I would love to come. You can go to Jessicalahey.com. Look under the menu option “Speaking” and go down to “Speaking Inquiry.” There's also a lot of information on my website about what I do. There's videos there about how I do it. Please feel free to get in touch. And I hope I get to come to your community. If you put in the speaking inquiry that you are a Hashtag AmWriting listener, we can talk about a discount. So that can be one of the bonuses for being a loyal and long-term listener to the Hashtag AmWriting Podcast. Hope to hear from you.Multiple SpeakersIs it recording? Now it's recording. Yay! Go ahead. This is the part where I stare blankly at the microphone. Try to remember what I'm supposed to be doing. All right, let's start over. Awkward pause. I'm going to rustle some papers. Okay. Now, one, two, three.Jess LaheyHey, welcome to the Hashtag AmWriting Podcast. I'm Jess Lahey, your host, along with another host today—this is going to be super fun. We are the podcast about writing: short things, long things, poetry, prose, book proposals, querying agents—we're basically the podcast about getting the work done. I am Jess Lahey. I'm the author of The Gift of Failure and The Addiction Inoculation. And you can find my journalism at The New York Times, The Washington Post, and The Atlantic.Sarina BowenAnd I'm Sarina Bowen, the author of many contemporary novels, and also a council member on The Authors Guild. And it is in that spirit that we are bringing you a special episode today, which we're calling part of our Publishing Nerd Corner segment.Jess LaheyOur favorite stuff.Sarina BowenYeah, so publishing nerd stuff. Here we go, and the topic is pretty timely.Jess LaheyAnd juicy.Sarina BowenAnd juicy. We're talking about why authors copyright their work, what it means, and how it ties into everything going on with the Anthropic lawsuit and potential settlement.Jess LaheySo, backing up, could you tell us a little bit about the Anthropic lawsuit, and sort of what it was about, and why everybody's talking about it right now?Sarina BowenOf course. So, Anthropic is an AI LLM, Large Language Model Company, just like OpenAI is the same as ChatGPT. Anthropic are the people who make Claude, but all the AI big companies are being sued right now, including Meta, including Microsoft, or...Jess LaheyGoogle. Google.Sarina BowenYeah, sorry.Jess LaheyNot Microsoft.Sarina BowenAnd also the new one is there's a new lawsuit against Apple. So, basically, everybody who went out and made a big LLM model using stolen, pirated books and articles downloaded from the Internet is being sued variously by different organizations, and it looks like the Anthropic lawsuit might be resolved first.Jess LaheyOkay, so what are they being sued for?Sarina BowenThey're being sued for a couple of things. First is the wholesale piracy of lots of books downloaded off the internet, and second, for feeding all of those books into their models to teach them how to speak and compose.Jess LaheyA while ago, weren't some—I think some—internal memos around the whole Meta thing where, essentially, they acknowledged how much it would cost to purchase legally all of the things they needed to model, do their large LLMs, and they decided, “Wow, that would be a lot of money.”Sarina BowenRight.Jess Lahey“We'll just steal them.”Sarina BowenWe don't want to deal with copyright. Well, specifically, the most interesting internal memos that we've seen have been involved in the Meta case, which we're not really talking about tonight, but yeah, there are some big smoking guns out there. But I wanted to take this opportunity to talk about the practical nature of copyrighting your work, because there's a potential settlement on the table that's taking shape in terms of how authors will be paid some portion of a $1.5 billion settlement from this Anthropic suit, potentially, and whether or not you have a registered copyright on your book is going to matter. So, first of all, in this case, the judge did rule—well, we wanted him to rule—that using these books to train the model was not a fair use situation.Jess LaheyRight. They were trying to say, “No, no, this is just fair use.”Sarina BowenRight.Jess Lahey“We shouldn't have to pay anybody.”Sarina BowenAnd unfortunately, we don't have a ruling in favor of this concept yet, and The Authors Guild cares very much that it's not fair use and will continue to fight for that. But we instead were ruled in this case something that is actually quite powerful and important to the whole conversation, which is that the judge said that Anthropic downloading all of these titles—these millions of stolen books—from a piracy site was, in fact, illegal and that they are going to have to pay. So the ruling was against them. So now this is a class-action suit, and in a class-action suit, all of the parties in the class—you can opt out if you want to, like if you're an author who would rather sue them individually, you can still do that. But it looks like in defining the class of who is eligible to receive a payout; you're going to have to have a registered copyright. Your copyright will have had to have been registered within five years of publication, and also before they downloaded it.Jess LaheySo, to clarify, some of the questions I've seen floating around on the interwebs are about, “Oh, but there was that big list that was published by The Atlantic.” You could go to The Atlantic and just see, and “oh my gosh, I had six titles that were on that list. Does that mean that I'm going to get money for all of those titles?”Sarina BowenOkay, well, that is a great question. And actually, I need to stipulate real quick that I am not a lawyer.Jess LaheyRight.Sarina BowenYou're a lawyer, and almost certainly I'm going to make an error when I'm speaking on this tonight. I have spent a lot of time listening in meetings about these things, so I feel comfortable enough to discuss it with you tonight. But, um, but I'm going to make a mistake. So you need to check everything...Jess LaheyRight.Sarina Bowen…when you make your own legal decisions. So wait, what was the question?Jess LaheySo the question was about that big list at The Atlantic.Sarina BowenOh yeah!Jess LaheyThat was like, what, 5 million titles or so?Sarina BowenWell, that list was taken from a specific piracy site.Jess LaheyRight.Sarina BowenBut it doesn't know which titles the company actually downloaded, so only the company has that list. So, first of all, that database is sort of handy and interesting, but it is not definitive in terms of this list.Jess LaheySo do not count on looking at that list and saying, “Oh, I have six titles there, maybe I'll get a payout for all six titles.”Sarina BowenRight. So, um, but let's—we really need to talk about copyright registration because there's so much misinformation floating around out there. So it's true that if you sit down right now and write something, you already own the copyright for it. So that's powerful—sort of—right? Um, but the point of registering your copyright—and these benefits are right on the Copyright Alliance website. So we're going to link to the copyright website—but, um, one of the primary reasons why people register is because registration is a necessary prerequisite for bringing, for U.S. copyright owners, to bring a copyright infringement suit in federal court. And of course, this is a federal court action, but also because statutory damages and attorneys' fees can only be sued for if you have a registered copyright. If you just own your copyright without registering it, you can sue for damages. The damages in the copyright suit are pretty hard to prove, or at least quantify. So that is why the statutory part of damages is what is being enacted in this judgment.Jess LaheyBut Sarina, I have a publisher. Didn't my publisher register my copyright for me?Sarina BowenWell, probably. My newer contracts all say the publisher must register them, and as far as I can tell, those newer contracts, the publisher did. So, yay. But I do have an old contract from about 2014 that only says that the publisher may register it. And guess what—they didn't. So, first of all, you need to see—you can go to a different database, which is the U.S. government copyright database—and look yourself up and see if your book is in there. And honestly, if your publisher was supposed to register you, and they didn't, The Authors Guild would really like to hear from you, because they're sort of looking into this. Suddenly, you know, in the last 10 days, there's a bunch of people who are like, “Oh my goodness, hang on, they didn't actually do it.” So that's something to think about, something to look at.Jess LaheyYeah.Sarina BowenMeanwhile, because statutory damages are what is going to be paid by this company, that is why the registration—it's not just to make people mad. It's not just to… it's not a gatekeeping thing. It's a legal issue with the settlement. So if you have not been in the practice of registering your copyrights, it's a pretty darn good idea to do that now. It's a completely online process. The site is quite antiquated and not that much fun to work with, and there are some moments in there when you're like, “I don't understand what's being asked of me.” But it's worth taking the time. It costs, I believe, $65 for a single title. They mail it to you at home, and then you have the certificate forever with your copyright registration number, but it's also kept in that database. You are required to deposit a copy—two copies of… well, a digital copy of your book, or two physical ones, and we usually use digital at this point. But totally worthwhile, and all the people who've been slogging it out on the copyright website up till now are probably feeling pretty good about it.Jess LaheyOkay, so there's been this settlement, and I don't know yet whether or not my book is included in that settlement because Anthropic has not turned over their list yet, but let's say I'm on it. When can I get my sweet, sweet dollars?Sarina BowenWell, right now there is a really important The Authors Guild blog post about what to do, and we will also link to that, and they, in turn, link to—I think it's the lawyer's website with a form, a contact form—saying, yes, you know, please keep me in your thoughts and send me the email so that when the list is really ready, we can find each other.Jess LaheyAnd another plug for why you should be a member of The Authors Guild, if you qualify to be a member of The Authors Guild, is that The Authors Guild made sure that their authors were included in the class action suit.Sarina BowenWell, just that they're going to hand the names.Jess LaheyYes. Exactly.Sarina BowenExcept I actually think that if you have multiple titles, if you have multiple publishers, if you use a pseudonym—there's lots of reasons to go to that lawyer's page and fill it out anyway.Jess LaheyYeah.Sarina BowenSo, I mean, the worst that can happen is that both The Authors Guild and you have turned in your name, and they'll have to sort out some duplicates. But that is not the end of the world. And I went there, and I'm filling it in as well.Jess LaheyThe Authors Guild is a great source of reliable, factual information on what is going on with this suit at the moment.Sarina BowenIt is, and it's not like… I'm very proud of my work on the council, but it's like a couple of meetings a month. But what's really happening is that the people who work at The Authors Guild—it's their job. It's a bunch of lawyers who are very good at copyright law, and they've been working on this, like, you know, without sleeping practically, for like a year and a half. So, you know, all of these suits are what they're focusing on all day long. And they want to make sure that the greatest number of authors receive the compensation that they deserve, and it's basically like their whole entire lives right now.Jess LaheyIt's always cool, actually, as a side note, in the annual meetings—I like to attend the annual meetings virtually—and it's always amazing when they give sort of a download of what's been accomplished by The Authors Guild over the past year. So it amazes me, the advocacy that's going on.Sarina BowenIt's a lot of suing people who aren't working on behalf of authors and against book bans and things like that.Jess LaheyAbsolutely, absolutely. Is there anything else that we need to know that's pressing?Sarina BowenRegister your copyrights, people, let's go.Jess LaheyGo to the show notes. The links will be in the show notes, as Sarina said. Worst case scenario, you go to that lawyer website, law firm website, and you double—you know, you've done it, and so has your publisher. But who cares, whatever, as long as you've done the work. And, in fact, I will, when I write the show notes, be going back and doing the same myself. And you know, this is a moving target. This is not over yet. This is a continuing saga.Sarina BowenRight.Jess LaheyYeah, and it's definitely not like a done deal, like, “Yay, I'm going to be getting a check in the mail next week.”Sarina BowenNo.Jess LaheyThat's not the way...Sarina BowenIt's going to take a long time, but there's going to be more of these suits. So, of course, the best time to register your copyright was five years ago. The second-best time is right now.Jess LaheySo, go do that. You have a to-do list. You have homework. Go do those things. And thank you for explaining that stuff. And thank you also for working with The Authors Guild. Because I know it's a ton of work. Not only is it a ton of work for you, doing the meetings and all that sort of stuff, but it's hard to go online and see on social media so many people misunderstanding either what this case is about, and you do a lot of clarifying, which is very sweet.Sarina BowenOh, thank you. But you know what? It's complicated.Jess LaheyIt is very complicated.Sarina BowenAnd I am not a lawyer, and I put in the time to understand it. But the truth is, it's hard. We're dealing with some really complicated concepts. IP is tricky, and, you know, I learn a little more every year, but it's hard, and if it confuses you, you are forgiven for feeling that way.Jess LaheySo, again, thank you. Go do your copyright thing. Go to the law firm website, go to The Authors Guild website, and just catch up. Catch up on what this is all about. And we will keep you posted in our little nerdy corner here, which I'm really excited about. I have a full page of questions I want to ask Sarina about some of the things that she understands really well about publishing and all of the stuff that goes into it—all these things, especially about independent publishing—that is not a world I'm a part of, but you always seem to have great answers to those questions. So we will be delivering those questions and answers to you in our Nerd Corner. And thank you so much for being with us. And until next week, keep your butt in the chair and your head in the game.NarratorThe Hashtag AmWriting Podcast is produced by Andrew Perella. Our intro music, aptly titled Unemployed Monday, was written and played by Max Cohen. Andrew and Max were paid for their time and their creative output, because everyone deserves to be paid for their work. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit amwriting.substack.com/subscribe

Wejdź na stronę https://zlapaniwsiec.pl/93, znajdziesz tam wersję video oraz e-book z dodatkowymi materiałami. Koniecznie polub „Złapanych” na Facebooku: https://www.facebook.com/ZlapaniwSiecplPodcast wspierają marki: Domeny.tv MSERWIS.pl — narzędzia dla e-biznesu: hosting, sklepy i strony www.O co pytamy Konrada Gurdaka?00:02:50

Seeing Earth Through AI LLM Augmented Geospatial Research with Satellite Imagery AIAA Los Angeles Section on 2025 September 3 Event Information: https://lp.constantcontactpages.com/ev/reg/zu6n3hg/lp/e94d6fad-b556-4933-a8fe-84407ec2f36c

From texting workflows and estimate calculators to Google's four-result “Monopoly board,” Phil shows how better ops beat “more leads.” We dig into retargeting your ignored database, the five metrics that matter, and how AI/LLM authority content will shape the next decade. Whether you run HVAC, plumbing, gutters—or manage 1,800 units—these tactics turn chaos into pipeline. Watch to level up your home service marketing today.Connect with Phil RisherWebsite: https://phlashconsulting.com/ Chapters:00:00 – Introduction 07:19 – Two big fixes: ROAS visibility + lead management 09:11 – Text-first workflows that boost response & bookings 13:37 – Chat-to-text widgets & estimate calculators that convert 22:10 – Google “Monopoly board”: LSA, Search Ads, Map Pack, SEO 24:26 – Content flywheel from real customer calls (They Ask, You Answer) 27:21 – AI search & becoming the local authority with content 38:28 – Scaling ladder & PE honey holes (retargeting) 44:45 – Gino Wraps it Up We're here to help create multifamily entrepreneurs... Here's how: Brand New? Start Here: https://jakeandgino.mykajabi.com/free-wheelbarrowprofits Want To Get Into Multifamily Real Estate Or Scale Your Current Portfolio Faster? Apply to join our PREMIER MULTIFAMILY INVESTING COMMUNITY & MENTORSHIP PROGRAM. (*Note: Our community is not for beginner investors)

In episode 85 of o11ycast, Dr. Cat Hicks unpacks AI's impact on software teams from a psychological and social-science perspective. Along with Ken, Jess, and Austin, she explores how AI magnifies long-standing tensions between solitary and collaborative models of development, and how fears about AI often reflect deeper issues like undervaluing collaboration or having unrealistic productivity expectations. The discussion also explores empathy, theory of mind, and pluralistic ignorance, highlighting why developers may prepare more for AI than for each other.

In episode 85 of o11ycast, Dr. Cat Hicks unpacks AI's impact on software teams from a psychological and social-science perspective. Along with Ken, Jess, and Austin, she explores how AI magnifies long-standing tensions between solitary and collaborative models of development, and how fears about AI often reflect deeper issues like undervaluing collaboration or having unrealistic productivity expectations. The discussion also explores empathy, theory of mind, and pluralistic ignorance, highlighting why developers may prepare more for AI than for each other.

Ethical hacker Rachel Tobac joins us to answer a juicy question: How would she hack someone reasonably security savvy like Matt?

An airhacks.fm conversation with Jonathan Ellis (@spyced) about: brokk as a Norse dwarf who forged Thor's hammer, Java Swing UI performance advantages over Electron apps, zb build tool integration, onboarding experience comparison with Cursor, architect vs code buttons functionality, session management in brokk, build and test tool configuration, in-memory Java parser development, JVector and embedding models limitations, agentic search approach using find symbol by wildcard and fetch method tools, hierarchical embeddings concept, package-info for AI context, LLMs as artists needing constraints, Java's typing system advantages for AI feedback, architect mode with multiple tool access, code agent feedback loops, joern code graph indexing, Git integration with jgit, custom diff format avoiding JSON escaping issues, tool calling in architect mode, MCP server development in pure Java - zmcp, prompt templates for team collaboration, JBang installation experience, subscription pricing discussion, organizational subscriptions for corporate teams, avoiding context explosion in architect mode, Gemini Flash for summarization, workspace tools and summaries, build status feedback to architect, enterprise-friendly features development Jonathan Ellis on twitter: @spyced

سلام عليكم الخوت و الخوات! مرحبا بكم ف هاد الحلقة الجديدة ديالنا.ف هاد الوقت اللي الـ AI و الـ LLM's (بحال ChatGPT) ولاو جزء من حياتنا، كاين واحد السؤال كبييير: كيفاش نخبعوا هاد الداتا كاملة، بالطريقة اللي تكون رخيصة و سريعة ف نفس الوقت؟ و هنا فين كايجي AWS S3 Vectors!ف هاد الحلقة، غادي ندويو على هاد الـ feature الجديدة من Amazon S3، اللي غادي تغيّر بزاف الإستعمال ديال "Vector Embeddings"

“Visibility in the age of AI isn't just about ranking anymore—it's about being understood, trusted, and retrievable by the machines your buyers now rely on. These engines extract only the most relevant chunks of content to answer the query. And if your message isn't structured clearly or consistent across channels, you risk being invisible.” That's a quote from David Kirkdorffer and a sneak peek at today's episode.Hi there, I'm Kerry Curran, B2B Revenue Growth Executive Advisor, Industry Analyst, and host of Revenue Boost: A Marketing Podcast. Every episode, I sit down with top experts to bring you actionable strategies that drive real results. If you're serious about growth, hit subscribe to stay ahead of your competition.In The New SEO Frontier: How Marketers Can Win Visibility in the Age of AI, I sit down with David Kirkdorffer. He's a B2B marketing strategist and generative SEO expert. We break down how your content, website, and messaging must evolve to be visible in LLM-powered search. We explore what's changed, what still works, and what's next—so your brand stays front and center no matter which AI engine your buyer turns to.Be sure to stay to the end, where David shares why team alignment across content, SEO, PR, and partnerships is your best defense—and greatest opportunity—in an AI-first future. Let's go.Kerry Curran, RBMA (00:01.422)So, welcome, David. Please introduce yourself and share your background and expertise.David Kirkdorffer (00:07.466)Hi, Kerry, and thank you so much for bringing me on the show. My background: I am a B2B marketer. I've been doing B2B marketing for—let's say—30-plus years. I have focused most of my career on generating leads for sales teams, and that is still my focus, though the way that is done nowadays has certainly changed.I've worked mostly in technology companies, selling technology to technology departments—so IT tech for IT tech consumers. Over the years, that has gone from enterprise accounts, as technologies became more democratized, down to medium-sized businesses and small businesses.So that's briefly about me.Kerry Curran, RBMA (01:00.214)Excellent. David, I know you have been deep into the research around what I'll introduce as the evolution of SEO. Tell me: What are you hearing? What triggered your interest in diving into gaining visibility for brands within the GPTs and other AI engines?David Kirkdorffer (01:25.994)Right. OK, that's a great question. Given my background of trying to get information into buyers' hands—being buyer-centric—a number of years ago I focused on what we might call buyer enablement and the buyer experience: the buyer being successful in finding the information they're looking for on our website. I realized that a lot of the great information buyers want sits behind a gate where you have to speak to a sales rep.The idea I was working with—and many people, of course, not just me—was, “Can we get this information onto our website so that when buyers come, they can find what they need and say, ‘This looks like a good fit'?” Along come these LLMs, and now all of a sudden I'm thinking, “How do I AI-enable training? How do I make sure the AIs have the information that answers buyer questions?”In a way, AI LLM tools are a disintermediating force separating my buyer from my answer. They're turning to the ChatGPTs, the Geminis, the Perplexities, the Claudes, the Copilots, and various other tools—some specialized for particular domains. Our challenge is to make sure our answers are read, understood, and correctly represented within these LLMs so that, when a buyer goes there for an answer, our brand is visible.It's much more effective for a buyer to ask questions with ChatGPT, and you might ask the same question to four or five tools just to validate, because they all have different information sets, models, crawlers, and licensing agreements. Therefore, you may have high visibility in one and low visibility in another. Training data differs; retrieval data differs; the models themselves differ—so they have different “brains,” just like different people. That's what brought me into this: trying to be customer-centric and helping my salespeople so that, when buyers do find information, our brand is there.Kerry Curran, RBMA (04:27.744)That's excellent, David, and it's such a hot topic. I don't think I can go through a few hours of my day without it coming up. I know you've been evangelizing it a lot, which I'm sure generates many questions. What are the main questions people ask you about this capability and opportunity?David Kirkdorffer (04:51.442)Everyone wants to know, “What am I supposed to do? How is this different—is it different?” Two main lines of inquiry emerge. One comes from senior marketing leaders—the CMO or someone at a higher level—who wants to understand what they and their teams can do holistically. The other is very tactical: people approach it from their domain expertise—website, SEO, content—and ask, “What do I do within my lane that makes an impact?”The truth is, it's a bit of both. In my view, it's a holistic problem to solve. You can operate in just one tactical lane—website, SEO, or content—and it will have an impact. When you combine them, the impact is amplified, and it should also involve your PR, partner, and demand-gen teams; their work can help or hurt how your brand is recognized and surfaces in answers. So those two lanes—holistic and tactical—intertwine, and where you start depends on team size and resources.Kerry Curran, RBMA (06:48.354)If the main question is “How do I do this?” what do you think people should be asking first? What's the right starting point?David Kirkdorffer (07:01.140)I think you need a big-picture view of how this is different and what drives it—how GEO (Generative Engine Optimization) actually differs from SEO. It even has many acronyms: generative engine optimization, AI optimization, LLM optimization, and more.Kerry Curran, RBMA (07:38.732)Based on your work, which term do you prefer?David Kirkdorffer (07:44.744)I like “generative engine optimization.” Unfortunately, “GEO” means other things in other domains, which is part of the problem—both technically and from a brand standpoint. When we use shortcuts like acronyms, we know what they mean; the LLM doesn't. It could interpret “MRO,” for example, as any of 50 different things until you spell it out first.Kerry Curran, RBMA (08:24.150)Earlier you said it starts with a mindset. What mindset should people adopt to lean into improving their strategies here?David Kirkdorffer (08:46.292)At the highest level, LLMs and GEO replace the short keyword query box with a large window where users add lots of context. Through vectorization—turning language into math—the LLM finds little chunks of information, the “needles,” rather than presenting a haystack of links. It compares those chunks, validates them against other sources, and synthesizes an answer.We often don't know or care where the answer came from, as long as it's accurate. But that means the LLM isn't reading your whole page; it's reading segments. So this isn't just a technical SEO challenge—it's about the words themselves: how we phrase them, how we make them easy to understand, and how we avoid letting brand personality cloud clarity.Because of “chunking,” answers often come from two or three sentences—maybe 200–300 words—not entire pages. So we need to optimize those chunks.Kerry Curran, RBMA (13:06.506)Before we dive deeper into tactics, explain how these platforms differ from Google's traditional search engines and why that demands a different strategy.David Kirkdorffer (13:41.514)Think of GEO as standing on the shoulders of SEO. If your SEO is weak, the shoulders aren't strong. Some say, “This is just a new kind of SEO,” and there's truth in that. Others think, “We just need to do good marketing,” and that's also true. But with GEO, some shortcuts we've taken—like heavy JavaScript or hidden tab content—now have new impacts because LLMs don't execute JavaScript or click tabs.For example, if your page uses tabs for five benefits, the LLM sees only the first one; it can't click the others. It forces us to reevaluate design choices, because GEO cares about different things.Kerry Curran, RBMA (16:11.054)So SEO is shifting from technical crawlability to a content-first approach—almost back to the early days of SEO. When you talk about chunking content, best practices seem to be resurfacing. What should we consider when writing content now?David Kirkdorffer (17:34.914)The best practice is simply doing what we've always known: write clearly for the reader. LLMs struggle with poetic or highly stylized language; they understand literal, structured information. Our challenge is to provide that clarity without becoming too dry. In the future, LLMs may understand nuance better, but for now, literal clarity wins.Kerry Curran, RBMA (21:09.686)There's still a technical aspect—different from technical SEO a few years ago—like tagging. Why is that more important than ever?David Kirkdorffer (21:09.686)We have semantic tags—H1, H2, H3, etc.—but many treat them as visual elements. You might find an H6 above an H2 because it looks good, but that confuses the LLM. Ideally, one H1 states what the page is about, multiple H2s mark subtopics, H3s detail components, and so on. When that hierarchy is broken, the LLM can't map ideas correctly, and your content may be excluded from answers.Kerry Curran, RBMA (25:57.034)Old is new again: off-site SEO also matters. Why is consistency off-site so critical, and what should brands do?David Kirkdorffer (25:57.034)B2B marketers want their message on as many authoritative sites as possible. A small brand's site may have little traffic, so its signal is weak. Getting listed in directories or partner sites amplifies that signal. In the old days, “brand police” ensured consistent boilerplates—25-, 50-, 100-word descriptions—so customers weren't confused. LLMs work the same way: if they see the same wording consistently, they trust it. When every team tweaks the message, it creates variations that confuse the model, so consistency is key.Kerry Curran, RBMA (30:33.718)This has been super valuable. For listeners who know they need to start right away, what's the most important first step?David Kirkdorffer (30:59.392)First, learn how these systems work. You don't need deep technical knowledge, but understand the impact. If you're in a specific lane—SEO, content, web—still learn the bigger picture so your choices align with the new reality. Then triage: audit where you'll work first based on team size and resources.Gather the whole team—web, SEO, content, PR, demand gen—so everyone hears one story and understands how their actions affect each other. Agencies should know what they can and can't do and set expectations. After learning and auditing, remember this is ongoing, like SEO has always been.Finally, be present where your customers go. Different LLMs rely on different data sources—Reddit, Wikipedia, licensed content—and those arrangements change. Go where your customers already spend time.Kerry Curran, RBMA (36:06.339)Excellent. For folks who want to learn more or bring you in to help their team, how can they reach you?David Kirkdorffer (36:42.518)The best way is through LinkedIn. Search “David Kirkdorffer.” My email is firstname.lastname@gmail.com. I post about these topics and provide training classes—very hands-on and tactical, covering tabs, accordions, LLMS text, schema and chunkability, and more. Feel free to DM or email me.Kerry Curran, RBMA (37:52.238)Perfect. I'll include those links in the show notes. David, thank you so much for sharing your expertise with us today.David Kirkdorffer (38:05.046)Thank you, Kerry, and thank you to the audience. If you've made it this far, that's a compliment. I appreciate it and enjoyed the conversation.Kerry Curran, RBMA (38:15.050)Excellent—thanks!Huge thanks to David Kirkdorffer for joining me on the show. If your brand isn't showing up in AI-generated answers, this conversation is your roadmap to change that. From content structure to message consistency to offsite visibility, David laid out actionable ways to adapt your SEO strategy to this new era of AI-driven buyer behavior. If you found this valuable, share it with your team and hit subscribe so you don't miss the next episode.And for more strategic insights on revenue growth through marketing, head to revenuebasedmarketing.com or follow me, Kerry Curran, on LinkedIn today. Flat or slowing revenue? Let's fix that—fast.Revenue Boost: A Marketing Podcast delivers the proven plays, sharp insights, and “steal-this-today” tactics that high-growth teams swear by.Follow / Subscribe on Apple, Spotify, and YouTubeTap ⭐⭐⭐⭐⭐ if the insights move your metrics—every rating fuels more game-changing episodes

E se le aziende che fanno AI facessero concorrenza a tutti ?Lo stanno facendo.In questa puntata trailer vi anticipo il succo che approfondisco per i sostenitori del caffe', andate su www.caffe20.it/membri

In this special episode, recorded live from AWS's Shoreditch office, we launch a brand-new 5-part series with Amazon Web Services. You can also watch the episode here: https://youtu.be/RXWMOA46Em8 Together with Marco Kormann (AWS), we explore how Generative AI is reshaping the way consumers search, discover, and shop — and what that means for brands and retailers. To do that, we are accompanied by two star guests: Richard Lim, CEO at Retail Economics, and Charley Hackerson, CRO at Botify. Tune in to learn about: How GenAI is disrupting the consumer journey and rewriting the rules of search Why traditional SEO tactics aren't enough in an LLM-driven world What agentic retail means — and how it could transform FMCG buying behavior The role of data infrastructure and governance in staying AI-ready How leading retailers are adapting their digital strategies to remain visible and relevant  

*ラスト音声が入っていなかったのでアップしなおしました！YouTubeはこちら：⁠https://youtu.be/6YTX2ofptEQkinjo ⁠https://x.com/illshin|⁠AKINDO : ⁠https://x.com/akindo_io⁠Kanazawa: ⁠https://x.com/k_another_wa⁠⁠AIエージェント時代を制する鍵：企業の最先端MCP活用事例LT【東京AI祭プレイベント】⁠⁠単なるメモから知的資産へー松濤Vimmer流 Obsidian in Cursorの知的生産システム⁠Chapters00:00 AIとクリプトの最新トレンド03:03 AIエージェントの仕組みと歴史06:05 AIイベントの紹介と参加方法09:00 AIの定義とその広がり12:04 AIブームの歴史と進化12:26 AIの歴史と進化14:50 ディープラーニングの登場17:04 データの重要性とAIの影響18:24 ヒントン教授とディープラーニングの発展20:16 機械学習とディープラーニングの違い25:41 大規模言語モデルの進化27:55 トランスフォーマーの仕組み30:06 トランスフォーマーのデータ処理31:59 パラメータと計算リソースの関係35:00 GPTの進化と実用性38:06 AIの限界と未来の可能性38:42 AIの限界と未来41:30 人間とAIの知性の違い44:49 オープンソースとクローズドモデルの違い49:57 オープンソースの意義と企業の戦略50:35 ブロックチェーンとトークンの価値51:38 日本語対応のAIモデルの課題52:59 日本のAI開発の現状54:45 オープンソースとAPIの選択肢56:00 GPUとAI企業の未来58:42 NVIDIAの技術的優位性01:00:45 AIモデルの性能比較01:02:48 次回のテーマとまとめ1. AIの基礎：そもそもAIって何？-AIの歴史-機械学習 vs. 深層学習の簡単な違い-LLM（大規模言語モデル）って何？ ChatGPTの裏側2.LLMの仕組みと進化Transformerとは？GPTシリーズの進化LLMのトレーニング方法と限界オープンソース/クローズドLLMLLMを作るには？LLMを使った実装とは3.RAGってなに？ なぜ注目されてる？・Retrieval-Augmented Generation の仕組み・LLMだけではなぜダメなのか？・検索＋生成のメリットと課題4.AIエージェントとは？・単なるチャットボットとの違い・メモリ・ツール・プランニング：エージェントの中身・AutoGPTやOpenAIのAgentsの事例紹介・web3文脈でのAIエージェントとの違い5.今後の発展について・ブロックチェーンとの融合・AGI、ASIが来る未来をどうみてる・AIが浸透していく時代の課題感・今年のAIの発展に期待していることTakeawaysAIの基礎から未来まで学べる内容がある。AIの定義は明確ではない。第一次AIブームは1950年代に始まった。AIエージェントが流行している。AIイベントに参加することが推奨される。AIの進化は止まらない。AIの歴史を知ることが重要。AIの技術は日々進化している。AIの未来は明るい。AIの定義は人それぞれ異なる。 AIの進化は歴史的なブームに基づいている。ディープラーニングは画像認識で革命を起こした。データの量がAIの性能を決定する。ヒントン教授の研究がディープラーニングを広めた。機械学習はディープラーニングを含む広い概念である。AIは人間の脳の構造を模倣している。データを大量に処理することでAIは学習する。ディープラーニングはブラックボックス的な性質を持つ。AIの発展には計算資源が不可欠である。AI技術は私たちの生活を変える可能性がある。 チャットGPTの発明は重要な進展である。トランスフォーマーは情報処理の新しい方法を提供する。アテンションメカニズムが精度を向上させる。データ量が増えるほどモデルの精度が向上する。GPT-3はトランスフォーマーの成果物である。人間のフィードバックがAIの学習に重要である。AIは論理的に賢くなる可能性がある。トランスフォーマーは多次元的な情報処理を可能にする。AIの進化は新しい技術的発展によって加速している。AIの限界についての研究が進んでいる。 AIは人間のデータで学習しているため、限界がある。人間社会を変えるほどの知性が生まれる可能性がある。AIの定義は時代と共に変わる。オープンソースは技術革新を促進する。AIは人間を完全に代替することは難しい。商用利用可能なオープンソースが増えている。AIの進化は我々の想像を超える。新しいアプローチが必要とされている。オープンソースの力とメリットは大きい。AIの未来は明るいと信じられている。 ブロックチェーンはオープンで誰でも利用できる。日本語対応のAIモデルには課題がある。日本のAI開発は少数派になっている。オープンソースの選択肢が増えている。NVIDIAはAI市場での優位性を持っている。AIモデルの性能は似ているが、UIの使いやすさが重要。自分のコンテキストに基づいた最適化が進んでいる。次回のテーマは技術の最先端について。AIの進化は今後も続く。リスナーに感謝の意を表した。

AI・LLM事業部に入社したCPOのnekokakさんをゲストに招き、入社の経緯や入ってみての感想を聞きました。5年前に入社するのとはまた違った"今の良さ"についても話しています。▼LayerX Now!とは・・・こんにちは、LayerX NOW!です。LayerXの日常を伝えるPodcast『LayerX NOW!』は事業やチームの話を中心に、"いま知っておくべき"LayerXのホットなトピックスをお届けしていきます。時々社外ゲストの招待があるかも！お楽しみに！▼ メディア情報LayerX採用情報：https://jobs.layerx.co.jp/LayerX エンジニアブログ：https://tech.layerx.co.jp/LayerX 公式note：https://note.layerx.co.jp/CEO福島のnote：https://note.com/fukkyy

Christine Short and Steve Dickens preview Box (BOX) earnings. Steve is watching for where Box fits into the “agentic workflow” and how it integrates an AI LLM. Christine notes a big drop in paying subscribers from its competitor Dropbox (DBX), which could be an individual problem or a sector-wide trend.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

I'm thrilled to have Dr. Bushra Anjum, join us for today's episode! She is the head of Data Science and AI/LLM subject matter expert at the EdTech startup NoRedInk. With a passion for innovation in adaptive online curriculum tools, Dr. Anjum leads a talented team dedicated to enhancing students' writing and critical thinking skills.Join us as we dive into her impressive journey and explore her pivotal role as Co-chair of the Association for Computing Machinery's Women in Computing Council (ACM-W). Dr. Anjum will share insights on ACM-W's mission to increase representation and inclusion in STEM, the importance of mentorship for women in tech, and her key priorities in advancing initiatives for women in computing.We'll also discuss practical steps for students and early-career professionals looking to break into the tech industry, and how aspiring members can get involved with ACM-W. Plus, we'll learn about the practices Dr. Anjum has implemented to promote equity in the hiring process for her Data Department.Don't miss this inspiring conversation filled with valuable advice and actionable insights for anyone interested in the tech field!✉️ Connect with Dr. Anjum on LinkedIn: https://www.linkedin.com/in/bushraanjum/

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaQuestions include: In the spirit of Valentine's Day, what is the future of bionic hearts? Would this be a way to make humans more efficient? - How would you think about a world in which all of the work is done by robots and AI? - Architects using computerized/AI tools will result in less demand for architects overall, thus less people getting to do architecture. - Do you think the current methods of training and using AI/LLM are here to stay for a while, or is there a real possibility of an alternative machine learning approach appearing and being superior and more efficient? - What would you think about spiking neural nets with a new non-differentiable learning algorithm? Is it the path to smarter AI? - ​​I read from an expert that correcting the errors in a later prompt results in more errors. It's better to go back to the original prompt. - Do you or your team actively work on the alignment issues with AI and are you worried about the next 10 years with regard to that? - Do you see a danger in the trend toward anthropomorphic AI and providing AI systems with human-like attributes? - I wonder what will happen when future AI models are trained on material that shows them the actual results of their past actions. - What are some near- and medium-term breakthroughs that could potentially make the creator a trillionaire? Off the top of my head, fusion power, far more efficient batteries or novel propulsion systems.

This is a free preview of a paid episode. To hear more, visit www.insurgentspod.comKylie Robison of The Verge joins us to talk about DeepSeek, the new AI LLM that, its developers claim, was built for just a fraction of the cost compared to its US-based competitors. We analyze those claims, talk about the competing interests trying to “win” the AI race, examine the harm and risks associated with rapid and unchecked AI development and, …

Ken and Seth return for 2025 to review the accuracy of their predictions from 2024 and make a few new ones for this new year. Some hits and misses for last year, but overall the generic predictions for both AI/LLM growth and software supply chain security were accurate. However, they were wrong in their assumptions around LLM creation and training. For 2025, predictions on AI billing models, software supply chain attacks, OWASP Top 10 2025, and more.

In this milestone 200th episode, Sam Kamani interviews August from Paxful, a decade-old platform that's empowering over 14 million users through peer-to-peer payments. They discuss how Paxful is solving financial inclusion, enabling trust with escrow services, and offering 500+ on-ramping methods globally. August also shares his views on market trends, the rise of Solana, and what the future holds for peer-to-peer crypto ecosystems. Key Timestamps [00:00:00] Introduction: Sam introduces August from Paxful, a pioneer in peer-to-peer payments. [00:01:00] August's Journey: From traditional finance to crypto, MakerDAO, and joining Paxful's leadership team. [00:05:00] What is Paxful?: Enabling trust-based peer-to-peer payments with escrow for financial inclusion. [00:08:00] How Paxful Works: Combining 500+ payment methods with escrow to facilitate seamless transactions. [00:13:00] User Stats: Over 14 million unique signups and 1M+ active funded accounts globally. [00:15:00] Growth Strategies: SEO, referral programs, and grassroots outreach to expand Paxful's reach. [00:18:00] Future Vision: Building Paxful into the “Swiss army knife” for global crypto and financial services. [00:24:00] Trends in Crypto: The rise of USDT, Bitcoin dominance, and Solana's vibrant ecosystem. [00:30:00] Challenges Ahead: Regulation and adopting AI/LLM technologies to enhance user experience. [00:36:00] What's Next?: Paxful's roadmap to expand its product suite and enter new markets. Connect https://paxful.com/ https://www.linkedin.com/company/paxful-inc https://www.linkedin.com/in/augustwidmer/ https://twitter.com/paxful https://x.com/AugForceOne Disclaimer Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Do you know what must attend online automation conference is now open for registrations? What is Observability 2.0 Can AI and LLMs to generate quality Playwright end-to-end scripts Find out in this episode of the Test Guild New Shows for the week of Dec1,  So, grab your favorite cup of coffee or tea, and let's do this. Time Title link 0:30 AutomationGuild 25 Registration https://testguild.me/guild25 1:20 Observability 2.0 https://testguild.me/lilp28 2:34 Playwright API Postman https://testguild.me/q8hkxt 3:43 AIRIA Snapshots https://testguild.me/3cr2f7 4:36 TestZesus https://testguild.me/knd8ez 6:05 AI LLM for Playwright scripts https://testguild.me/nlpaic 7:31 Tricentis 1.33 Billion https://testguild.me/nntjy2 8:33 AltTester Unity Automation https://testguild.me/y8l73n

It's not a reach to say that we're currently in a time of uncertainty, across technology, economic and political spectrums. But historically, times of uncertainty have often led to unexpected creativity. SHOW: 873SHOW TRANSCRIPT: The Cloudcast #873 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTES:STUFF THAT FEELS UNCERTAIN OR FRAGMENTED RIGHT NOWTransition of US political parties (regulation, leadership, reaction to the unknown, friend or foe of Silicon Valley)Stock market is somewhat bullish, but credit markets aren't alignedSocial media seems more fragmented (good & bad), so what does this do to information flows, learning, discussions, etc.Speculation is that AI LLM models are starting to plateauCloud providers aren't really talking about anything but AIVCs seem to be excited about the potential of acquisitions again, but who?Netflix can't seem to figure out streaming live TV, at least at scale - but Amazon can?FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Cutting-Edge AI and Semiconductor Innovations: Canada & US Tech Collaborations In today's episode of Hashtag Trending, host Jim Love discusses pivotal updates in the tech world. Key stories include a major collaboration between Anthropic, Palantir, and Amazon Web Services to deliver advanced AI solutions to US intelligence agencies, and AMD unveiling its open-source AI model, OLMo. Additionally, VentureLab's exciting partnership with Hudson Valley Fast Fab Inc. aims to bolster Canada's semiconductor industry. The episode also features an insightful interview with Hugh Chow, CEO of VentureLab, about Canada's robust semiconductor legacy and efforts to enhance high-tech manufacturing. 00:00 Introduction and Remembrance Day Tribute 00:19 Defense AI Collaboration: Anthropic, Palantir, and AWS 01:59 AMD's Open Source AI Model: OLMo 03:36 VentureLab's Semiconductor Industry Advancements 06:28 Conclusion and Upcoming Segment: Afterwards 06:49 Extended Interview with Hugh Chow

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Send us a textPRE-IPO STOCK FUNDS CLOSING TO NEW INVESTORS ON SEP 13 (NEXT FRIDAY)AG Dillon has seven (7) pre-IPO stock funds closing on Friday, Sep 13. Next Friday. See fund list at www.agdillon.com/product (page 3). Available for purchase at Schwab, Fidelity, or directly at AG Dillon. Email aaron.dillon@agdillon.com to investSubscribe to AG Dillon Pre-IPO Stock Research at agdillon.com/subscribe;- Wednesday = secondary market valuations, revenue multiples, performance, index fact sheets- Saturdays = pre-IPO news and insights, webinar replays00:07 | Safe Superintelligence Raises $1B for new AI LLM- AI venture focused on creating safe AI models- Co-founded by Ilya Sutskever, Daniel Gross, and Daniel Levy- Raised $1B in May 2024 from investors like Andreessen Horowitz and Sequoia Capital- Offices in Palo Alto and Tel Aviv- For-profit entity addressing AI safety00:43 | OpenAI Hits 200M Weekly Active Users for ChatGPT- AI large language model business- ChatGPT now has 200M weekly active users, doubling since Nov 2023- 1M paid corporate users, up from 600K in April 2024- Expected to generate $2B annually from $20/month premium subscriptions- 50% of corporate users are in the U.S.; strong presence in Germany, Japan, U.K.- Secondary market valuation: $103.8B (+20.7% vs Apr 2024 round)01:33 | Salesforce Acquires Own Company for $1.9B- Data management firm specializing in data backup and recovery- Acquired by Salesforce for $1.9B in cash- Previously valued at $3.35B in Aug 2021- 7,000 customers; raised $507.3M from Tiger Global and Salesforce Ventures- Global data backup market valued at $12.9B in 2023, growing at a 10.9% CAGR02:14 | ByteDance Raises $600M for Dongchedi, Valued at $3B- Chinese parent company of TikTok- Raising $600M for car trading platform Dongchedi- Dongchedi boasts 35.7M monthly active users- Competing with platforms like Autohome and Bitauto- Secondary market valuation: $300B (+11.8% vs Dec 2023 round)03:00 | Anthropic's Claude AI Powers New Amazon Alexa- Amazon to release new Alexa powered by Anthropic's Claude AI in October- Paid version to cost $5-$10/month; current version remains free- Estimated $600M in annual sales if 10% of Alexa's 100M users opt for the paid version- Anthropic has a $23.6B secondary market valuation (+31.4% vs Jan 2024 round)03:49 | xAI's Colossus System Becomes Most Powerful AI Trainer- AI large language model business by Elon Musk- Colossus built with 100,000 Nvidia H100 GPUs in 122 days, doubling to 200,000 GPUs- Phase 1 cost estimated at $2B, located in Memphis- Colossus will consume 150 megawatts of power and 1M gallons of water daily for cooling- Secondary market valuation: $26.1B (+8.9% vs May 2024 round)04:45 | X Launches Beta Version of TV App for Fire TV and Google TV- Formerly Twitter, now focusing on becoming a "video-first" platform- Launched beta version of TV app for Amazon Fire TV and Google TV- Initial feedback suggests bugs, but fixes are anticipated soon- Aimed at reviving ad revenue and attracting video creators05:26 | Fidelity Cuts X Holdings Valuation by Another 4%- Fidelity reduced X Holdings (formerly Twitter) valuation by 4% in July- Total decrease of 72% since Elon Musk's acquisition in Oct 2022- New valuation implies X shares are worth $15, down from Musk's original $54.20/share- X's total value now approximately $21B06:03 | Pre-IPO Stock Market Weekly Performance06:48 | Pre-IPO Stock Vintage Index Weekly Performance

Today Jason is joined by Spectral's Co-Founder & CEO, Sishir Varghese to discuss the Onchain Agent Economy and the future of machine intelligence networks aiding autonomous onchain agents . In this episode they discuss: AI/LLM integration abstractions Revenue-generating agents Competitive market dynamics: The Agent App Store Agent transparency A live Spectral demo! Agent-to-agent communication And much more! Episode article links: https://vitalik.eth.limo/general/2024/01/30/cryptoai.html https://goodalexander.com/posts/agenticprotocols/ https://www.spectrallabs.xyz/whitepaper Host: Jason Choi @mrjasonchoi . Not financial advice. -- Tangent is a private holdings company managing personal assets and is not a licensed investment advisor nor does it manage or accept any external capital. Nothing discussed is a solicitation for investment and is for entertainment purposes only. -- Timestamps: (00:00) Introduction (05:17) On-chain agents (11:01) AI/LLM integration abstractions (14:28) Vitalik's take on AI x Crypto (17:58) Spectral's infra-chain (20:49) Revenue-generating agents (23:21) Competitive market dynamics: agent App Store (26:28) Agent verification (29:09) Agent transparency (32:36) Spectral Demo (37:42) Agent moats (40:04) Security parameters (41:46) Agents/protocols (43:36) Agent-to-agent communication (45:30) Outro -- Partner message: Aptos is the next-generation Layer 1 blockchain designed to enhance scalability, security, and reliability for decentralized applications. With industry-leading performance, internet-grade UX, 100X lower gas fees than comparable chains, and a thriving ecosystem - Aptos is the platform of choice for both builders and users.  Find out more at https://aptosfoundation.org/ -- Twitter accounts: Jason Choi's Twitter: https://twitter.com/mrjasonchoi Sishir Varghese's Twitter: https://x.com/__sishir Spectral's Twitter: https://x.com/Spectral_Labs Spectral's website: https://www.spectrallabs.xyz/ Blockcrunch Twitter: https://twitter.com/theBlockcrunch -- Blockcrunch VIP:  https://blockcrunch.substack.com/ -- Disclaimer: The Blockcrunch Podcast (“Blockcrunch”) is an educational resource intended for informational purposes only. Blockcrunch produces a weekly podcast and newsletter that routinely covers projects in Web 3 and may discuss assets that the host or its guests have financial exposure to. Views held by Blockcrunch's guests are their own. None of Blockcrunch, its registered entity or any of its affiliated personnel are licensed to provide any type of financial advice, and nothing on Blockcrunch's podcast, newsletter, website and social media should be construed as financial advice. Blockcrunch also receives compensation from its sponsor; sponsorship messages do not constitute financial advice or endorsement.   Full disclaimer:  https://blockcrunch.substack.com/about

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Continuing the dinosaur theme, is it possible biology can repeat patterns of evolution? Is it possible for dinosaur-like creatures to reappear? - Why is it as technology advances, it goes through phases of bigger to smaller to bigger? I've seen this with phones, computers, TVs, cars, etc. What does this say for the future of technology? - ​​What would be the future of the personal computing paradigm? Would we see more remote cloud-like computing and storage in the future, essentially making personal computing devices obsolete? - The current AI/LLM models aren't good at the mathematical and statistical computational methods. What areas do you think should be focused on in computer science and mathematics to teach these models to be better at computation and assist researchers and scientists? - What do you think of the amount of data that gets processed or code that is run in terms of bytes vs. bytes that are used for storage in the world? - What exactly is 5G? How is it different from 4G or 3G? - Nowadays, instead of getting higher resolution, we can get higher color range and frame rate. - If AI is being used for autonomous vehicles, then presumably technology could improve to the level where vehicles could "see around corners" by different vehicles communicating with each other, buildings, etc.–so the video stream is from multiple perspectives? - Taking the concept further, could vehicles on a motorway and those joining seamlessly interweave at high speeds safely and traffic be diverted automatically in real time to ensure that there are no blockages etc.? - Turns out that as computer displays get better, our sensor limitations turn out to be higher than we used to think. - I recall reading something saying that 5G and low-latency connectivity would be important for self-driving cars. That seems somewhat unlikely to be an important component of self-driving now. - What's the future of fiber optics? - In the future, will cell towers be more advanced to prevent dead zones?

This week we have a yarn with Crikey's Cam Wilson [X/Twitter] about the Wieambilla inquest, AI/LLM, (Australian) media, and navigating the treacherous waters off the coast of #FreezePeach.

Ask a good question, get a trustworthy answer! That's the promise of the latest tech in the AI/LLM space. Using "anchors of truth" via embeddings, combined with clear citations for the answers provided, this platform is revolutionizing the entire Decision Support industry. Check out this special episode of DM Radio to learn about the long-sought fusion of unstructured and structured data for Analytics. Host @eric_kavanagh will be joined by Athena Solutions CEO Alex Kangoun, and Field CTO Ryan Welsh of Qlik. They'll each deliver 10-min presentations on the subject, followed by our weekly radio show.

This week our guest is neuroscientist Dr. Cody Rall. Rony's working his super-secret day job (an AI startup). Top of the news is OpenAI's Search GPT, which is now a close beta (you can sign up); AI start-up Cohere valued at $5.5 B in their latest round. There are more than 20 AI unicorns - startups valued at more than $1B. Elon Musk has a supercomputer cluster in Memphis, and no idea (yet) where the power is coming from. Meta is in the news (constantly). This week their biggie is the release of powerful open source Llama 3.1 AI LLM. Both Reality Labs and Magic Leap saw layoffs. Dr. Rall joins us to talk about psychiatric treatments with BCI, and other methods for healing, and even augment, the brain. Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @ThisWeekInXR!https://linktr.ee/thisweekinxr Hosted on Acast. See acast.com/privacy for more information.

In this episode, I fly solo to discuss Google Vids. Google Vids is an addition to Google Workspace via Google Labs. It is a tool that allows users to create videos effortlessly through the use of Google's AI LLM, Google Gemini. I go through how to create a video, the editing process, and ideas for educators to implement this as a time saver. If you'd like to see it in action, click on the YouTube video below for a video tutorial. If your organization doesn't have Google Labs turned on, you might want to talk to your district Google Admin to see about getting this AI video creator turned on. Buen provecho! Google Vids Tutorial On YouTube: https://www.youtube.com/watch?v=aGkZZ3cR0eg Connect With Gabriel Carrillo EdTech Bites Website: https://edtechbites.com EdTech Bites Twitter: https://twitter.com/edtechbites EdTech Bites Instagram: https://instagram.com/edtechbites EdTech Bites Threads: https://www.threads.net/@edtechbites EdTech Bites Facebook Page: https://facebook.com/edtechbites EdTech Bites YouTube Channel: https://www.youtube.com/@edtechbites My Book Is Officially Out! My first book “Cooking Up Experiences In The Classroom: Focus On Experiences, Not Just Lessons” is officially out! A HUGE shout out to Lumio for helping sponsor this book. I'm super excited about this project. It's filled with ideas on how to make memorable experiences for your students. In addition, each chapter also lays out a specific recipe mentioned in that chapter along with a video tutorial on how to prepare that dish. Make sure you get your copy and cook up some experiences for your students and loved ones! Click Here To Purchase Your Copy On Amazon

Send us a Text Message.Weekly pre-IPO reports…- Valuations, revenue multiples, performance = www.agdillon.com/reports- Market update pdf = www.agdillon.com/update- Index fact sheet = www.agdillon.com/index00:07 | Stripe's $70b valuation- Online payments company- Sequoia inter-fund transaction- $27.51/share at $70b valuation, +7.7% vs its last round- Sequoia LPs get liquidity, realized returns- Emerging tech is staying private for longer- Growth companies are private not public, time to allocate to pre-IPO stocks01:41 | Revolut $40b valuation- UK online bank- Tiger Global to lead $40b round- $2.2b 2023 revenue, 2x vs 2022- $574m 2023 pretax profit vs -$33m in 2022- 18.1x revenue multiple- $25b secondary market valuation, +60% overnight return!02:25 | Anthropic, Menlo launch fund- Anthropic is AI large language model biz, Menlo is premier Silicon Valley VC firm- $100m fund to invest into AI startups- Menlo makes investment- Anthropic provides AI LLM credits- Anthropic = $22b secondary market valuation, +20% vs Jan 2024 round03:22 | $267m for Human Interest- 401k focused fintech- 3 minutes to open 401k account- 25,000 small business customers- $100m in ARR- 70% projected 2024 sales growth- IPO planned within two years04:03 | Tekion $4b valuation- Automotive technology business- $200m investment from Dragoneer- Founder is former Tesla CIO, jay Vijayan- 2025 to be 1st profitable year- Other investors = Index Ventures, BMW i Ventures, Advent International04:53 | Starlink approved in South Sudan- SpaceX's satellite internet business- Only 36% of South Sudan citizens connected to internet- SpaceX seeks official distributor in South Sudan- $210b valuation based on current tender offer in process05:44 | OpenAI GPT-4o Mini launched- AI large language model business- 4o Mini is 60% cheaper vs 4o proper- 4o Mini is replacing GPT-3.5 Turbo- Businesses like smaller models as they get job done but at lower expense- Lower expense improves ROIs- Watch for big earnings pop and acquisitions from businesses that implement AI07:32 | Pre-IPO Stock Market Weekly Performance- www.agdillon.com/reports for full pdf- Pre-IPO +0.19% for week, +65.28% for last 1yr- Up week: Revolut +8.0%, Chime +5.5%, Deel 4.4%, Ramp +3.4%, SpaceX 3.2%- Down week: Cohere -11.2%, Epic Games -3.2%, Anduril -2.8%, Neuralink -2.4%, eToro -2.3%- Top valuations: ByteDance $290b, SpaceX $205b, OpenAI $106b, Stripe $70b, Databricks $44b08:23 | Pre-IPO Stock Vintage Index Weekly Performance- www.agdillon.com/index for pdf with constituent level performance by year- 2024 Vintage Index top contributors since inception: Rippling +107%, Revolut +68%, Anduril +51%, Klarna +46%, Epic Games +32%- Key metric averages for all Vintage Indexes 5 years old or older…445% cumulative return since inception61% realized, distributed to investors5.45 TVPI; 3.31 DPI, 2.14 RVPI4.1 years to return the fund

The Question of the Week: Is MFA more important on different types of accounts? The Big Stories: Investors put $56B into startups in Q2- 2024, ½ went to start up AI Companies AI Companies are trying smaller Large Language Models to save money We are in an AI Bubble, are we headed for an AI Burst AI Companies are spending billions on training their LLM's When, if ever, will investors see a return on their money?

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // MLOps podcast #241 with Boris Selitser, Co-Founder and CTO/CPO of Okareo. A big thank you to LatticeFlow for sponsoring this episode! LatticeFlow - https://latticeflow.ai/ // Abstract Explore the evolving landscape of building LLM applications, focusing on the critical roles of synthetic data and agent evaluations. Discover how synthetic data enhances model behavior description, prototyping, testing, and fine-tuning, driving robustness in LLM applications. Learn about the latest methods for evaluating complex agent-based systems, including RAG-based evaluations, dialog-level assessments, simulated user interactions, and adversarial models. This talk delves into the specific challenges developers face and the tradeoffs involved in each evaluation approach, providing practical insights for effective AI development. // Bio Boris is the Co-Founder and CTO/CPO at Okareo. Okareo is a full-cycle platform for developers to evaluate and customize AI/LLM applications. Before Okareo, Boris was Director of Product at Meta/Facebook, leading teams building internal platforms and ML products. Examples include a copyright classification system across the Facebook apps and an engagement platform for over 200K developers, 500K+ creators, and 12M+ Oculus users. Boris has a bachelor's in Computer Science from UC Berkeley. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links https://docs.okareo.com/blog/data_loop https://docs.okareo.com/blog/agent_eval The Real E2E RAG Stack // Sam Bean // MLOps Podcast #217 - https://youtu.be/8uZst7pgOw0 RecSys at Spotify // Sanket Gupta // MLOps Podcast #232 - https://youtu.be/byH-ARJA4gk --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Boris on LinkedIn: https://www.linkedin.com/in/selitser/ Timestamps: [00:00] Boris' preferred coffee [00:37] Takeaways [02:32] Please like, share, leave a review, and subscribe to our MLOps channels! [02:48] Software Engineering and Data Science [06:01] AI Transformative Potential Explained [10:31] Prompt Injection Protection Strategies [17:03] Agent's metrics for Jira [24:11] Data and Metrics Evolution [27:54] Evaluation Focus Enhances Systems [31:22 - 32:52] LatticeFlow AD [32:55] Custom Evaluation and Synthetic Data [36:23] Synthetic data for expansion, evaluation, and map [41:06] Diverse agents' personalities for readiness [44:25] Agent functions [46:17] Optimizing Routing Agents [50:04] Adapting to tool output for decision-making [52:56] Agent framework evolution [55:41] Agent framework for delivering value [57:03] Wrap up

SHEIN to IPO at $64b, pre-IPOs future impact on public market indexes- Online fashion retailer, manufactures cloths in China- $64b IPO valuation- Net income = $2b 2023, $700m 2022, $1.1b 2021 ; Revenue = $45b 2023 ; 1.4x revenue multiple, very low!- Secondary market activity for Shein is very low, high volatility … $80m in bids, $85m in offers (per ApeVue)- MSCI EAFE Index once public? Headquartered in Singapore, manufactures in China, customers in US/Europe (not China)- Great example of how large pre-IPO finally going public impact indexes … Shein would be #71 in MSCI EAFE Index between Anheuser-Busch Inbev and London Stock Exchange Group- S&P 500 is going to look very different in 10 years time; pre-IPOs going public, new companies that haven't even started yet … technology is moving fastCohere new round, how many AI LLM platforms winners?- AI large language model- $5b valuation, +127 vs Jun 2023 round- $35m ARR in Mar 2023, +169% vs prior year- Strategic partnership with Oracle- How many AI “platforms” will there be? 2 like apps; Apple and Android? OpenAI, Microsoft, Google? Apple has a competitive advantage with its access to personal data?- AI application layer is an interesting investment opportunity but not enough companies in the market yet- Future: proprietary data paired with AI models will drive usefulness of AI applications (Apple calls this “context”)OpenAI wins Apple Siri deal, +14% on news- OpenAI +14% to $110b valuation on news, last round at $86b in early Q2- ChatGPT to power Siri- Deal terms not disclosed- Apple to OpenAI data privacy concerns- Quality of use cases/applications will drive users to accept data sharing requests- Most useful applications of AI will not even be notices by users, natural integration

Today Laura and Kevin chat with Frank Kyazze, the the founder and CEO of GRC Knight. We talk about the combination of AI and cybersecurity. We talk about the reauthorization of Section 702 of the FISA bill which expands the NSA's surveillance program. We talk nuke simulators and WW3, new AI laws and their impact, the Ed Sheeran/Marvin Gaye copyright lawsuit, cool new gadgets like Humaine.ai, the digital trust, the AT&T breach and the Roku breach, and Frank's new AI LLM, Francine.ai. Frank Kyazze's career is a blend of innovation, ethics, and humanism in technology. Over the last decade, he become a leader in digital trust, covering cybersecurity, governance, risk management, compliance, privacy, and AI ethics. As the founder and CEO of GRC Knight, Frank champions strategies that protect national security and our society's infrastructure. His work spans traditional sectors to startups and venture capital, advocating for cybersecurity as a growth engine. With certifications like CISSP, CIA, CEH, CIPP/E, CIPM, and ISO Lead Auditor, Frank's expertise is unmatched. Frank is a thought leader who connects technology's tangible aspects with its philosophical roots, offering insightful perspectives on technology, national security, and the digital economy. Frank Kyazze is not just a name in the tech industry; he is a storyteller, a philosopher in the digital age, and an architect of trust in a world that increasingly depends on it. His journey and insights offer a unique blend of depth, pragmatism, and visionary thinking, making him a compelling voice in the ongoing conversation about our digital future.

AI transparency and truthfulness… Google’s AI, Gemini… $200B lost in competitive AI LLM market share. Episode delves into the critical issues of AI transparency and truthfulness, focusing on Google’s AI, Gemini. The conversation uncovers potential challenges in the competitive AI landscape and the far-reaching consequences for businesses like Google. Here are the key takeaways: Alex […]

Ken and Seth start out with a lengthy discussion about application security jobs, training, and getting into the security space due to an article based on someone's experience moving from IT to pentesting. This is followed by possible needs for the NSA to collect commercially available browsing data. Finally, a quick hit on prompt injection and how things are moving quickly in the AI/LLM space.

@AaronDelp and @BGracely talk about the biggest stories, trends and events of cloud in 2023, and some predictions for 2024.SHOW: 782CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"SHOW SPONSORS:Datadog Application Monitoring: Modern Application Performance MonitoringGet started monitoring service dependencies to eliminate latency and errors and enhance your users app experience with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.CloudZero – Cloud Cost Visibility and Savings​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendFind "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to data with Enterprise Tech with theCUBESHOW NOTES:All the 2023 Year In Review Show Notes2023 Year-End Mailbag2022 Year-End Mailbag2022 Year in Review and PredictionsOur 2021 PredictionsOur 2020 PredictionsTHE BASICS:Our second 2M listens show Thank you to all our sponsors throughout the year (Datadog, CloudZero, Cisco Panoptica, Section, Fix the Internet, Sysdig, DoIT, Eaton, theCUBE, CNCF, Upland Software, Equinix, Red Hat, Cloudfix, GCore, Kosli)2023 PREDICTIONS: Our 2020 PredictionsOur 2021 PredictionsOur 2022 Predictions AARON'S PREDICTIONS:A Hyperscaler that isn't 1 or 2 throws in the towel - We start to see consolidation in the categoryPlatform Engineering hits its Trough of DisillusionmentCompact, OSS, specialized AI models will become the standard for anything not in the cloud (on device, datacenter, edge)A new category emerges - AI Customization for the masses (Data Science as a Service) - intersection of ITOps and AIBRIAN'S PREDICTIONS:We'll see the 1st 500M-user AI serviceAI economics start to change (smaller models, non-GPU chips)40-50 former unicorns ($1B valuations from 2020-22) get acquired Every product adds an AI / LLM capability to simplify usageFEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet

Austin spends the majority of his time thinking about ways to abuse LLMs, the impact of the attacks, and the effects on society. He brings a truly unique perspective to the way to use, attack, and verify output from AI LLM models. Whether you are just learning the ins and outs of LLMs or you were an early adopter, this segment is for you! In the security news: do people still use mainframes? IoT and firmware security, Apple Find my, Bluetooth is the gift that keeps on giving, to hackers that is, and more!   Visit https://www.securityweekly.com/psw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/psw-806

My new book LOSERTHINK, available now on Amazon https://tinyurl.com/rqmjc2a Find my "extra" content on Locals: https://ScottAdams.Locals.com Content: Politics, RFK Jr., David Weiss, Hunter Diversion Agreement, Jordan Peterson Online University, Lao Tzu, AI LLM, Success Patterns, Norway Targeted Ads, Meta, President Biden, Vivek Ramaswamy, President Trump, Judge Tanya Chutkan, Military Grade Brainwashing, Bill Maher, Whale Killing Windmills, Veteran Suicides, Mind-Reading Lie Detector, Victoria Nuland, Scott Adams ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you would like to enjoy this same content plus bonus content from Scott Adams, including micro-lessons on lots of useful topics to build your talent stack, please see scottadams.locals.com for full access to that secret treasure. --- Support this podcast: https://podcasters.spotify.com/pod/show/scott-adams00/support

Movies, PSH, fan theories, and oh yeah, only the dialectic pull of simultaneously not wanting to undersell or oversell yourself. We also get into the reasons for making art and how how all these AI LLM are kind of missing the point. Steve Schapiro is our Photographer of the Week. Tommy Westphall Universe Theory. CJ Hendry Illustrations on Instagram Painter Cecily Brown Jean Claude Van Damme in Breakin’ Speaking of Seeing with Sandi Robertson and Bill Wadman AI Girl with the Pearl Earring Steve Schapiro