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  • Rachel

    02/04/2024

    1

    Rachel

    Rachel Tobac is a social engineer. In this episode we hear how she got started doing this and a few stories of how she hacked people and places using her voice and charm. Learn more about Rachel by following her on Twitter https://twitter.com/RachelTobac or by visiting https://www.socialproofsecurity.com/ Daniel Miessler also chimes in to talk about AI. Find out more about him at https://danielmiessler.com/. Sponsors Support for this show comes from Varonis. Do you wonder what your company’s ransomware blast radius is? Varonis does a free cyber resilience assessment that tells you how many important files a compromised user could steal, whether anything would beep if they did, and a whole lot more. They actually do all the work – show you where your data is too open, if anyone is using it, and what you can lock down before attackers get inside. They also can detect behavior that looks like ransomware and stop it automatically. To learn more visit www.varonis.com/darknet. Support for this show comes from Axonius. The Axonius solution correlates asset data from your existing IT and security solutions to provide an always up-to-date inventory of all devices, users, cloud instances, and SaaS apps, so you can easily identify coverage gaps and automate response actions. Axonius gives IT and security teams the confidence to control complexity by mitigating threats, navigating risk, decreasing incidents, and informing business-level strategy — all while eliminating manual, repetitive tasks. Visit axonius.com/darknet to learn more and try it free. Support for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com.

    02/04/2024

    •
    1hr 3min
  • Just Visiting

    25/06/2019

    2

    Just Visiting

    Join JekHyde and Carl on a physical penetration test, a social engineering engagagement, a red team assessment. Their mission is to get into a building they shouldn't be allowed, then plant a rogue computer they can use to hack into the network from a safe place far away. This episode was sponsored by Nord VPN. Visit https://nordvpn.com/darknet and use promo code "DARKNET". This episode was sponsored by Hostinger. Go to https://hostinger.com/darknet and use code DARKNET to get 15% off a hosting plan and check out this week’s free feature. For more information visit darknetdiaries.com.

    25/06/2019

    •
    49 min
  • How to Build the Future: Demis Hassabis

    1 DAY AGO

    3

    How to Build the Future: Demis Hassabis

    Demis Hassabis has had one of the most extraordinary careers in tech. He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads Google DeepMind, pushing toward the same goal he set as a teenager: AGI. On this special live episode of How to Build the Future, he sat down with YC's Garry Tan to talk about what still needs to happen to get us to AGI, his advice for founders on how to stay ahead of the curve and what the next big scientific breakthroughs might be. Chapters:00:00 — Intro00:46 — Demis Hassabis: From Chess Prodigy to DeepMind01:48 — What’s Missing Before We Get To AGI?03:36 — Why Memory Is Still Unsolved06:14 — How AlphaGo Shaped Gemini08:06 — Why Smaller Models Are Getting So Powerful10:46 — The 1000x Engineer12:40 — Continual Learning and the Future of Agents13:32 — Why AI Still Fails at Basic Reasoning15:33 — Are Agents Overhyped or Just Getting Started?18:31 — Can AI Become Truly Creative?20:26 — Open Models, Gemma, and Local AI22:26 — Why Gemini Was Built Multimodal24:08 — What Happens When Inference Gets Cheap?25:24 — From AlphaFold to the Virtual Cells28:24 — AI as the Ultimate Tool for Science30:43 — Advice for Founders33:30 — The AlphaFold Breakthrough Pattern35:20 — Can AI Make Real Scientific Discoveries?37:59 — What to Build Before AGI ArrivesApply to Y Combinator: https://www.ycombinator.com/applyWork at a startup: https://www.ycombinator.com/jobs

    1 day ago

    •
    41 min
  • The Role of AI in Secure Software with Ben Dechrai

    12 FEB

    4

    The Role of AI in Secure Software with Ben Dechrai

    How does Artificial Intelligence impact our approach to building secure software? Carl and Richard talk to Ben Dechrai about his experiences working with AI tooling and building AI apps, and how that impacts security. Ben talks about the concerns organizations have about using AI tools - what these tools might do with the code they are exposed to, as well as the code the tools generate. The conversation steers to local AI as a solution, although so far, the equipment and tools are very limited. Ben also talks about how AI tools are being used to both attack and secure software and the challenges of this arms race - hopefully the good guys win!

    12 Feb

    •
    1 hr
  • Tarjeteros

    21 APR

    5

    Tarjeteros

    In the streets of the Dominican Republic, a new economy thrives in the shadows. It’s built not on tourism or sugar, but on stolen data. They call them tarjeteros. And they are making a lot of money from stolen credit cards. This is a story about one group of tarjeteros who came to the US, and let loose on New York city. SponsorsSupport for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com. This show is sponsored by Maze. Maze uses AI agents to triage and remediate cloud vulnerabilities by figuring out what’s actually exploitable, not just what’s theoretically risky. They remove the noise, prioritize vulns that matter, and manage remediation, so your team stops wasting time on meaningless vulns. Visit MazeHQ.com/darknet for more information. Support for this show comes from Privacy.com. Privacy allows you to create virtual spending cards instantly to use for purchases. Get your $5 sign-up bonus at privacy.com/darknet. You can use it on your first purchase! Privacy has a free plan with no transaction fees for domestic purchases. Protect your financial identity online with virtual cards.

    21 Apr

    •
    38 min
  • 386: Pace, Noise, and What's Really Blocking AI Transformation at Work, with Tom Scott, CEO of Wrike

    3 DAYS AGO

    6

    386: Pace, Noise, and What's Really Blocking AI Transformation at Work, with Tom Scott, CEO of Wrike

    Send us Fan Mail Tom Scott is the CEO of Wrike, the work management platform trusted by over 20,000 customers including Walmart Canada and Sony Pictures Television, across more than 140 countries and nearly 2 million end users. Tom's path to the CEO seat is anything but conventional. He spent over 20 years leading finance and operations across some of the most hardware-intensive sectors in tech, from building cell towers to running finance at Zebra Technologies and autonomous robotics company Fetch Robotics, before joining Wrike as CFO and transitioning to CEO in July 2023. In this episode, Tom draws on that rare vantage point (having led through multiple waves of technological disruption) to make a case that the leaders and companies that treat organizational intelligence as a combination of human judgment and AI capability, rather than a replacement of one by the other, are the ones building something that lasts. In this conversation, we discuss: Why transformation remains stubbornly hard in the AI era, and what leaders consistently underestimate about the real blockers to changeWhy the biggest career risk today is not AI itself, but the decision to stop moving up the value stack of your current roleThe two words Tom's customers and team use most to describe the current moment: pace and noise, and what that means for leaders trying to drive transformation.How Tom coaches his leadership team to hire for intensity and ownership over domain expertise, and why that philosophy matters more now than everWhy a deterministic career plan is no longer a viable strategy, and what curiosity and experience-chasing actually look like as professional operating principlesWhat Tom believes will be table stakes in the workplace well before 2031, and why the building blocks are already visible todayExplore this conversation: 00:00 Intro and Fun Fact04:08 Scaling Work Management with Tom Scott, CEO of Wrike 04:47 From Cell Towers to the CEO Seat at Wrike 05:51 How Wrike Helps Teams Connect and Accelerate Work 10:21 The Hardest Part of Transitioning to the CEO Role 14:13 Wrike's Origins: Building Scalability for Complex Workflows 17:04 Managing Pace and Noise During AI Transformations 21:20 Why True Organizational Intelligence Requires Human Judgment 25:54 Embracing Technology to Move Up the Value Stack 28:11 Why Curiosity Outweighs a Deterministic Career Plan 31:25 Hiring Empowered Teams: Selecting for Ownership and Intensity 34:31 The Future of Work: When Agentic AI Becomes Table Stakes 36:32 Where to Connect with Tom Scott and Wrike  Resources: Subscribe to the AI & The Future of Work NewsletterConnect with Thomas on LinkedInAI fun fact articleOn How Decentralized Intelligence and Data Precision Are Reshaping the Future of AI

    3 days ago

    •
    39 min
  • The Messy Middle of AI in Education: Panic, Promise, and What Comes Next

    2 DAYS AGO

    7

    The Messy Middle of AI in Education: Panic, Promise, and What Comes Next

    Matt Paige and EdTech veteran Todd Brekhus discuss how generative AI, like past technologies (calculators, the internet, Google), is being used by students to shortcut homework and why the key issue is redesigning education to deepen learning rather than trying to stop AI use. Brekhus contrasts the internet’s access-to-information shift with generative AI’s content-creation shift, arguing educators were caught flat-footed and need awareness, tools, and curriculum changes. He emphasizes empowering teachers first through personalization driven by frequent, granular measurement and data that informs instruction, moving beyond latent end-of-year testing toward mastery-based feedback loops and more embedded, contextual assessment. They explore maker-style, collaborative learning enabled by AI and “vibe coding.” Breca describes Renaissance’s internal AI upskilling and Renaissance Intelligence, which unifies data from 20 acquisitions into an AWS/Snowflake backbone to deliver a unified UX, recommendations, and trusted, standards-aligned, classroom-personalized instruction. -- Key Moments: 01:23 Homework Shortcut Reality04:21 Kids Adopt First05:27 Internet Era Lessons12:00 myON Unlimited Reading16:05 Personalization Starts Teachers21:53 Trusted Data And Measurement26:07 Mastery Model With AI Assist27:44 AI Should Challenge Learners28:42 Rethinking Assessment Loops31:21 Data Driven Skill Insights33:50 Connecting Learning to Purpose36:02 Vibe Coding for Teachers37:29 Future School Makerspaces40:33 Balancing Creation and Effort41:39 Renaissance AI Transformation44:40 Agentic Dev and Legacy Systems48:21 Renaissance Intelligence Platform -- Key Links: Renaissance LearningConnect with Todd on LinkedIn Mentioned in this episode: Free report from HatchWorks AI — State of AI 2026 What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

    2 days ago

    •
    53 min
  • He Knew Nothing About Making Games... Then Sold 67,000 Copies (w/ Sebastian Drews) — Ep 64

    27 MAR

    8

    He Knew Nothing About Making Games... Then Sold 67,000 Copies (w/ Sebastian Drews) — Ep 64

    I chat with Sebastian Drew about how went from knowing nothing to selling 67,000 copies of his game.► Play Constance: https://store.steampowered.com/app/2313700/Constance/► Join my game dev program for 50% off for the Spring Sale: https://fulltimegamedev.mykajabi.com/full-time-game-dev-sale► Wishlist my game Twisted Tower: https://store.steampowered.com/app/1575990/Twisted_Tower/

    27 Mar

    •
    1hr 6min
  • Designing Data-intensive Applications with Martin Kleppmann

    22 APR

    9

    Designing Data-intensive Applications with Martin Kleppmann

    Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — Martin Kleppmann is a researcher and the author of Designing Data-Intensive Applications, one of the most influential books on modern distributed systems. As of this month, the second, heavily updated edition of the book is out. In this episode of Pragmatic Engineer, we discuss Martin’s career in tech building startups, how he ended up writing this iconic book, and what he’s focused on now after moving into academia. We talk about the tradeoffs behind modern infrastructure, how the cloud has changed what it means to scale, and the thinking behind Designing Data-Intensive Applications, including what’s changing in the second edition. Martin reflects on lessons from building startups like Rapportive, which he sold to LinkedIn, and shares how his experience in both academia and industry shaped his perspective. We also explore what’s ahead: why formal verification may become more important in an AI-assisted world, the challenges of building local-first software, and his recent research into using cryptography to improve transparency in supply chains without exposing sensitive data. — Timestamps (00:00) Early career (05:46) Building Rapportive (10:47) Working at LinkedIn (14:09) Writing Designing Data-Intensive Applications (23:00) Reliability, scalability, and repeatability  (26:24) DDIA: the second edition (30:50) Tradeoffs of using cloud services  (39:02) How the cloud changed scaling  (42:53) The trouble with distributed systems (49:02) Ethics for software engineers  (52:45) Formal verification (1:00:12) Academia vs. industry  (1:03:50) Local-first software  (1:09:50) Computer science education (1:18:32) Martin’s current research and advice — The Pragmatic Engineer deepdives relevant for this episode: • Building Bluesky: a distributed social network • Inside Uber’s move to the cloud • The history of servers, the cloud, and what’s next • The past and future of modern backend practices • How Kubernetes is built — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

    22 Apr

    •
    1hr 25min
  • How AI Impacts Our Lives These Days

    16 APR

    10

    How AI Impacts Our Lives These Days

    It's time for an AI check-in! Maddy, Kirk, and Jason catch up on how they're feeling about generative AI in 2026, what it's doing to creativity, how it's impacting the job market, and of course, how it's affecting video games.  One More Thing: Kirk: Dungeon Crawler Carl (Matt Dinniman) Maddy: Slay the Princess Jason: American Pastoral (Philip Roth) LINKS: Adam Neely’s video “Suno, AI Music, and the bad future” “AI As Normal Technology” by Arvind Narayanan and Sayash Kapoor   Astrophysicist Minas Karamanis’ blog post “The machines are fine. I’m worried about us” “Sam Altman May Control Our Future—Can He Be Trusted?” by Ronan Farrow and Andrew Marantz for The New Yorker “Fabienk” and “Sarniezz” by Angine de Poitrine from Vol. II, 2026 Watch Angine de Poitrine live on KEXP The NYT reviews Dungeon Crawler Carl Happy MaxFunDrive! Right now is the best time to start a membership to support your favorite shows. Learn more and join at https://maximumfun.org/jointripleclick   🚀  SUPPORT TRIPLE CLICK:Join Maximum Fun | Buy TC Merch 💬 JOIN THE TRIPLE CLICK DISCORD 🎮 Triple Click Ethics Policy 📱 SOCIALS | @tripleclickpodInstagram | YouTube | TikTok | Twitch

    16 Apr

    •
    1hr 24min

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