NotebookLM Podcast: David Deutsch, Understanding, and AI

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תוכן מסופק על ידי Daniel Miessler. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Daniel Miessler או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

All About Change

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Gene Baur: Confronting the Morality of Factory Farming 28:16

לפני 17 ימים28:16

הפעל מאוחר יותר

רשימות

לייק

אהבתי

28:16

Gene Baur is the founder of Farm Sanctuary, a place of rescue, refuge, and adoption for hundreds of farm animals each year. Farm Sanctuary shelters enable visitors to connect with farm animals as emotional, intelligent individuals. Gene has also led campaigns to change laws about animal treatment and taken undercover photographs of farms, stockyards, and slaughterhouses, documenting deplorable conditions. His pictures and videos exposing factory farming cruelties have aired nationally and internationally, educating millions about the plight of modern farm animals, and his rescue work inspired an international farm sanctuary movement. Once called “the conscience of the food movement” by Time magazine, Gene walks the walk and talks the talk when it comes to food and animal rights. Jay and Gene discuss the political and cultural steps that will bring about the end of factory farming and a healthier approach to animals and food. Today's episode was produced by Tani Levitt and Mijon Zulu. To check out more episodes or to learn more about the show, you can visit our website Allaboutchangepodcast.com. If you like our show, spread the word, tell a friend or family member, or leave us a review on your favorite podcasting app. We really appreciate it. All About Change is produced by the Ruderman Family Foundation. Episode Chapters 0:00 Intro 1:05 The state of veganism 6:18 Cultural shifts around factory farming and veganism 14:58 Gene’s three paths of activism 17:44 Gene’s legislative successes 22:25 Accepting people where they are in their journeys 25:36 Thank you and goodbye For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/ Looking for more insights into the world of activism? Be sure to check out Jay’s brand new book, Find Your Fight , in which Jay teaches the next generation of activists and advocates how to step up and bring about lasting change. You can find Find Your Fight wherever you buy your books, and you can learn more about it at ⁠⁠⁠⁠⁠www.jayruderman.com⁠⁠⁠⁠⁠ .…

לפני שנה 12:49

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This is a NotebookLM podcast based on a long conversation I had with my AI, DARSA, on the topic of whether AIs truly understand things and/or are capable of creativity.

Become a Member: https://danielmiessler.com/upgrade

See omnystudio.com/listener for privacy information.

100 פרקים

#Tech #Daniel Miessler

Unsupervised Learning (Member Edition)

NotebookLM Podcast: David Deutsch, Understanding, and AI

Unsupervised Learning (Member Edition)

published לפני שנה

שתפו

MP3•בית הפרקים

This is a NotebookLM podcast based on a long conversation I had with my AI, DARSA, on the topic of whether AIs truly understand things and/or are capable of creativity.

Become a Member: https://danielmiessler.com/upgrade

See omnystudio.com/listener for privacy information.

100 פרקים

#Tech #Daniel Miessler

כל הפרקים

Unsupervised Learning (Member Edition)

1
A Conversation With Sarit Tager from Prisma Cloud 25:31

לפני 23 ימים25:31

25:31

➡ Prevent Risk At The Source with Cortex Cloud: https://www.paloaltonetworks.com/cortex/cloud/application-security In this sponsored conversation, I speak with Sarit Tager , VP of Product Management at Palo Alto Networks, about how Prisma Cloud and their new ASPM solution are transforming cloud and application security by unifying data and deeply integrating business context into AppSec workflows. We talk about: Unifying AppSec, Cloud, and SOC into One Data Lake How Palo Alto merged their products into a single system that consolidates runtime, code, identity, cloud, and SOC data, allowing for true context-aware risk prioritization and faster response times across the board. From Detection to Dynamic Prevention Why the future of application security isn’t just about discovering vulnerabilities, but enforcing smart, context-based guardrails during development, CI/CD, and build processes to prevent issues before they reach production. AI-Powered Insight and the Future of Secure DevOps How their system uses AI to analyze the full security posture, enrich findings, simulate attack paths, and recommend precise mitigations. The platform even helps guide security and engineering teams through better workflows, boosting velocity, and not blocking it. Subscribe to the newsletter at: https://danielmiessler.com/subscribe Join the UL community at: https://danielmiessler.com/upgrade Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Chapters: 00:00 – Sarit’s Background and the Goal of Unifying Security Context 01:50 – Building a Single Data Lake for Cloud, SOC, and AppSec 04:28 – From Noise to Clarity: Fixing the Prioritization Problem in AppSec 06:47 – Using Business Context to Drive Risk-Based Decisions 10:18 – True App Ownership, Developer Velocity, and Aligning with Business Impact 13:12 – Continuous Discovery and Bringing External Signals Into One View 15:25 – Why App Grouping and Context-Rich Policies Increase Velocity 17:58 – How Attackers Are Already Building Their Own Unified Context (UEC) 20:45 – Prisma’s Control Points: IDE, PR, CI/CD, Image, Admission Control 21:56 – Bringing In Data From External Scanners and Enriching Coverage 24:23 – Ecosystem Signals, Query Language, and Intelligent Workflow Automation 25:05 – Closing Thoughts: Security and Developers Working Together Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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UL NO. 489: MEMBER EDITION | My personal toolchain updates, Google tracking through DuckDuckGo, Anthropic’s Pentagon Deal, Grok4 NSFW, Substack Crushes WSJ, and more... 25:58

לפני 5 weeks25:58

25:58

UL NO. 489: MEMBER EDITION | My personal toolchain updates, Google tracking through DuckDuckGo, Anthropic’s Pentagon Deal, Grok4 NSFW, Substack Crushes WSJ, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-489 Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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UL NO. 488: MEMBER EDITION | Google Granting Confusing Access to Gemini, A New Favorite Creator, Russia's new Autonomous Drones, Claude Code Madness and Neovim Config, and more... 29:44

לפני 6 weeks29:44

29:44

UL NO. 488: MEMBER EDITION | Google Granting Confusing Access to Gemini, A New Favorite Creator, Russia's new Autonomous Drones, Claude Code Madness and Neovim Config, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-488 Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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UL NO. 487 MEMBER EDITION: Iranian Critical Infra Attacks, Insane Recent Productivity, A Chinese Mosquito Drone, Marcus's Response to Our AI Debate, "Context Engineering" Ain't It, and more... 41:57

לפני 7 weeks41:57

41:57

Iranian Critical Infra Attacks, Insane Recent Productivity, A Chinese Mosquito Drone, Marcus's Response to Our AI Debate, "Context Engineering" Ain't It, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-487 Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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UL NO. 486: MEMBER EDITION: Fully Automated AI Malware (Binary and Web), My Debate with Marcus Hutchins on AI, The 'Did You Notice?' Psyop, The METR AI Metric for Longterm Tasks, and more... 54:53

לפני 8 weeks54:53

54:53

UL NO. 486: MEMBER EDITION: Fully Automated AI Malware (Binary and Web), My Debate with Marcus Hutchins on AI, The 'Did You Notice?' Psyop, The METR AI Metric for Longterm Tasks, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-486 Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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UL NO. 485: MEMBER EDITION: Netflix RCE, My Current AI Stack, All-in on Claude Code, and more... 41:31

לפני 9 weeks41:31

41:31

MEMBER EDITION: Netflix RCE, My Current AI Stack, All-in on Claude Code, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-485 Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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UL NO. 484: MEMBER EDITION: OpenAI's Malicious AI Report, Disappointed with WWDC, AI's First Actual Science Breakthrough, and more... 44:38

לפני 10 weeks44:38

44:38

MEMBER EDITION: OpenAI's Malicious AI Report, Disappointed with WWDC, AI's First Actual Science Breakthrough, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-484 Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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UL NO. 483 | Member: A Chrome 0-Day, Meta Automates Security Assessments, New Essays, My New Video on Hacking with AI, Ukraine's Asymmetrical Attack, Thoughts on My AI Skeptical Friends, The Dangers… 34:47

לפני 11 weeks34:47

34:47

A Chrome 0-Day, Meta Automates Security Assessments, New Essays, My New Video on Hacking with AI, Ukraine's Asymmetrical Attack, Thoughts on My AI Skeptical Friends, The Dangers of Winning the Wrong Game, and more... Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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The Future of Hacking is Context 33:45

לפני 11 weeks33:45

33:45

Sponsored by Vanta. Vanta takes the busywork out of GRC so you can focus on what actually matters—improving your security, not chasing compliance. https://ul.live/vanta This isn’t just another AI podcast. It’s about the deeper shift that’s happening in cybersecurity—away from individual tools and dashboards, and toward real-time, comprehensive world models of what we’re trying to protect or attack. I'll walk through how I came to this idea, what it means for security assessments, red teaming, vuln management, and beyond—and why context, not AI, is the actual revolution. 📽️Check out the full video here: https://youtu.be/UwTTcka1Wd8 Topics covered: Why the core problem in security is organizational knowledge Unified Entity Context (UEC) as the future architecture Modular, AI-augmented security stacks Why every attacker and defender will soon be running one How this flips the AI conversation on its head If you care about where hacking, automation, and AI are headed—this is the blueprint. 📬Subscribe for updates about trends and ideas in Cybersecurity, National Security, AI, Technology, and Society👇🏼 https://newsletter.danielmiessler.com/ 👉🏻 X (Twitter): https://ul.live/x 👉🏻 Instagram: https://ul.live/ig 👉🏻 BlueSky: https://ul.live/bluesky 👉🏻 LinkedIn: https://ul.live/li Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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UL NO. 482 | MEMBER: AI Finds an 0-Day!, Postman Leaking Secrets, High Agency Mental Model, My Unified Entity Context Video, Github MCP Leaks Private Repos, Google vs. OpenAI vs. Apple on AI Vision,… 31:33

לפני 12 weeks31:33

31:33

MEMBER EDITION: AI Finds an 0-Day!, Postman Leaking Secrets, High Agency Mental Model, My Unified Entity Context Video, Github MCP Leaks Private Repos, Google vs. OpenAI vs. Apple on AI Vision, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-482 Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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Unified Entity Context 30:18

לפני 14 weeks30:18

30:18

🔹 Thanks to ProjectDiscovery for sponsoring today’s video. I've been using their tools like Nuclei and Subfinder for years, and now they’ve brought that power to the cloud with a full vulnerability management platform. ➡ Try it yourself at https://ul.live/PD1 For over a decade, I've been exploring how AI and context intersect—and I believe Unified Entity Context (UEC) is the key to unlocking what comes next. In this podcast, I walk through my journey—from security assessments and AI-powered tools to building real-world demos like Alma and Threshold. The core idea? That most hard decisions are only hard because we lack the necessary context. With rich, accurate, and fresh context, even complex decisions become simple. If you're building in security, investing in AI, or just trying to understand where things are heading, this concept might reframe everything. Check out the full video here: https://youtu.be/IHUqk90ch7I Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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Reviewing RSA 2025 with Jason Haddix 1:21:02

לפני 15 weeks1:21:02

1:21:02

What really happened at RSA 2024? Daniel Miessler and Jason Haddix break it down. Fresh off a whirlwind RSA week, Daniel sits down with Jason Haddix (Arcanum Information Security) to talk about what mattered—beyond the show floor noise. From off-site innovation summits to real-world AI implementation, this deep dive covers: -Where the real innovation happened (hint: not on the show floor) -Key takeaways from the OpenAI and Airbnb AI Security events -Jason’s talk on AI pentesting methodology and the Prompt Injection Taxonomy -The future of cybersecurity moats and the risk of AI-native disruption -Why agents aren’t the main character—data is -DARPA's AIxCC competition and the rise of Cyber Reasoning Systems -Challenges with evals, autonomous security workflows, and VDP backlash -Behind the scenes at RSA: puppies, parties, burnout, and brutal honesty They also explore content creation, the future of platform-native context, and why being opinionated (with receipts) matters more than ever in security and tech. Jason's Company https://arcanum-sec.com Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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A Conversation with Bar-El Tayouri from Mend.io 45:53

לפני 15 weeks45:53

45:53

➡ Get full visibility, risk insights, red teaming, and governance for your AI models, AI agents, RAGs, and more—so you can securely deploy AI powered applications with ul.live/mend In this episode, I speak with Bar-El Tayouri, Head of AI Security at Mend.io , about the rapidly evolving landscape of application and AI security—especially as multi-agent systems and fuzzy interfaces redefine the attack surface. We talk about: • Modern AppSec Meets AI Agents How traditional AppSec falls short when it comes to AI-era components like agents, MCP servers, system prompts, and model artifacts—and why security now depends on mapping, monitoring, and understanding this entire stack. • Threat Discovery, Simulation, and Mitigation How Mend’s AI security suite identifies unknown AI usage across an org, simulates dynamic attacks (like prompt injection via PDFs), and provides developers with precise, in-code guidance to reduce risk without slowing innovation. • Why We’re Rethinking Identity, Risk, and Governance Why securing AI systems isn’t just about new threats—it’s about re-implementing old lessons: identity access, separation of duties, and system modeling. And why every CISO needs to integrate security into the dev workflow instead of relying on blunt-force blocking. Subscribe to the newsletter at: https://danielmiessler.com/subscribe Join the UL community at: https://danielmiessler.com/upgrade Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Chapters: 00:00 - From Game Hacking to AI Security: Barel’s Tech Journey 03:51 - Why Application Security Is Still the Most Exciting Challenge 04:39 - The Real AppSec Bottleneck: Prioritization, Not Detection 06:25 - Explosive Growth of AI Components Inside Applications 12:48 - Why MCP Servers Are a Massive Blind Spot in AI Security 15:02 - Guardrails Aren’t Keeping Up With Agent Power 16:15 - Why AI Security Is Maturing Faster Than Previous Tech Waves 20:59 - Traditional AppSec Tools Can’t Handle AI Risk Detection 26:01 - How Mend Maps, Discovers, and Simulates AI Threats 34:02 - What Ideal Customers Ask For When Securing AI 38:01 - Beyond Guardrails: Mend’s Guide Rails for In-Code Mitigation 41:49 - Multi-Agent Systems Are the Next Security Nightmare 45:47 - Final Advice for CISOs: Enable, Don’t Disable Developers Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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The 4 AAAAs of the AI ECOSYSTEM: Assistants, APIs, Agents, and Augmented Reality 27:04

לפני 17 weeks27:04

27:04

In this episode, I break down what I believe is the emerging structure of the AI-powered world we're all building—consciously or not. I call it the “Four A’s”: Assistants, APIs, Agents, and Augmented Reality. This framework helps make sense of recent developments and where it’s all headed. I talk about: 1. Digital Assistants That Understand and Optimize Your Life Your DA (like “Kai”) will know your goals, preferences, health, schedule, and context—and proactively optimize your day, from filtering messages to planning meals or surfacing relevant information in real time. 2. APIs and the Real Internet of Things Everything becomes an API—from businesses to people to physical objects. Your assistant interacts with these APIs to act on your behalf, turning the world into a navigable ecosystem of services, tools, and resources. 3. Agents and AR Bringing It All Together Agents act autonomously to complete multi-step goals, and AR glasses will display their outputs contextually as you move through the world. These systems will collaborate, search, and act—quietly transforming how we live, work, and perceive reality. Subscribe to the newsletter at: https://danielmiessler.com/subscribe Join the UL community at: https://danielmiessler.com/upgrade Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler See you in the next one! Chapters: 00:00 - The AI Ecosystem We’re Building Without Realizing It 01:33 - Assistant: Your Most Powerful Digital Companion 03:08 - APIs: How DAs Interact with the World 07:54 - Agents: The Step Beyond Automation 11:00 - Augmented Reality: The Interface Layer of the AI Ecosystem 14:20 - Combining APIs, Agents, and UI for Real-Time Situational Awareness 17:17 - Summary: A Unified Ecosystem Driven by the Four A’s 23:36 - Industry Trends: How Companies Like OpenAI, Apple, and Meta Fit In 25:11 - Final Thoughts on Timelines, Winners, and Interpreting AI News Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

Unsupervised Learning (Member Edition)

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Using the Smartest AI to Rate Other AI 9:35

לפני 18 weeks9:35

9:35

In this episode, I walk through a Fabric Pattern that assesses how well a given model does on a task relative to humans. This system uses your smartest AI model to evaluate the performance of other AIs—by scoring them across a range of tasks and comparing them to human intelligence levels. I talk about: 1. Using One AI to Evaluate Another The core idea is simple: use your most capable model (like Claude 3 Opus or GPT-4) to judge the outputs of another model (like GPT-3.5 or Haiku) against a task and input. This gives you a way to benchmark quality without manual review. 2. A Human-Centric Grading System Models are scored on a human scale—from “uneducated” and “high school” up to “PhD” and “world-class human.” Stronger models consistently rate higher, while weaker ones rank lower—just as expected. 3. Custom Prompts That Push for Deeper Evaluation The rating prompt includes instructions to emulate a 16,000+ dimensional scoring system, using expert-level heuristics and attention to nuance. The system also asks the evaluator to describe what would have been required to score higher, making this a meta-feedback loop for improving future performance. Note: This episode was recorded a few months ago, so the AI models mentioned may not be the latest—but the framework and methodology still work perfectly with current models. Subscribe to the newsletter at: https://danielmiessler.com/subscribe Join the UL community at: https://danielmiessler.com/upgrade Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler See you in the next one! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.…

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Unsupervised Learning (Member Edition) « » NotebookLM Podcast: David Deutsch, Understanding, and AI

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NotebookLM Podcast: David Deutsch, Understanding, and AI