Unsupervised Learning is a Security, AI, and Meaning-focused podcast that looks at how best to thrive as humans in a post-AI world. It combines original ideas, analysis, and mental models to bring not just the news, but why it matters and how to respond.
I want to explore how AI can assist in fiction writing, especially using open-source models that allow for greater control, creativity, and long-form storytelling. With tools like LM Studio and Hugging Face, we can download powerful AI models capable of maintaining story coherence, helping authors generate complex narratives, and even unlocking new storytelling possibilities.
So, the idea is to create a structured approach to fiction writing with AI. By organizing story elements—characters, setting, mystery, and plot—into a detailed text file ("Telus file"), we can guide AI models to produce high-quality, structured narratives. The goal is not to replace authors but to empower them with AI-assisted storytelling.
Who wants to experiment with this approach? Or does anyone know of better AI tools for fiction writing? With larger context models and improving AI capabilities, we might be close to AI-assisted novels that rival human-written stories!
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In this conversation, I speak with Alastair Paterson, CEO and co-founder of Harmonic Security.
We talk about:
Harmonic Security’s Unique Approach to AI Data Protection:
How Harmonic Security’s Zero-Touch Data Protection uses small language models to identify and prevent sensitive data leaks, differentiating it from traditional DLP solutions.
Challenges of AI Adoption & Enterprise Security Risks:
How enterprises are struggling to adopt Generative AI safely, as employees unknowingly expose sensitive data. The risks of shadow AI usage, and why visibility into AI applications is essential for organizations.
Harmonic’s Browser-Based Solution for Secure AI Adoption:
How Harmonic Security’s browser-based extension provides real-time monitoring and intervention, allowing enterprises to track AI adoption, prevent data leaks, and enforce security policies without disrupting productivity.
➡️ Get a DEMO and Take Advantage of Harmonic's GenAI Securely
➡️ Check out Harmonic's Data leakage report "From Payrolls to Patents"
ul.live/harmonic-data-leaked
00 Intro
00:12 Guest Introduction - Alistair and Harmonic Security
01:16 Background on Digital Shadows and Transition to Harmonic Security
02:50 The Impact of ChatGPT and Generative AI on Security
04:35 The Problem with AI Data Leakage and Enterprise Risks
06:20 The Evolution of Data Protection: From DLP to AI Readiness
08:45 The Challenge of Shadow AI in Enterprises
10:30 Understanding Harmonic Security's Zero-Touch Data Protection
12:15 How Harmonic Security Works - Browser Extension Overview
14:40 Detecting Sensitive Data in AI Prompts
16:50 Live Demo - Preventing Data Leaks in AI Chatbots
19:35 Visibility and Monitoring of AI Usage Across the Enterprise
22:10 Risk Classification and Training Data Considerations
24:05 Policy Enforcement and Customization Options
26:30 Future Developments - Expanding Coverage Beyond AI Apps
28:15 Final Thoughts and Where to Learn More
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Plus: The AI Vulnerability Glut, Remotely Hacking Subarus, Criticism of CVSS, the United Breach, and much more...
➡ Protect Against Bots, Fraud, and Abuse. Check out WorkOS Radar at workos.com/radar
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In this episode, I speak with Faisal Khan, a GRC Solution Specialist at Vanta, about how their platform is transforming trust management for organizations.
We talk about:
Vanta as a Trust-Management Platform:
How Vanta helps organizations build, scale, and showcase their security and compliance programs through automation, efficiency, and tools like the Trust Center.
Key Features and Solutions Offered by Vanta:
How Vanta’s integrations automate compliance checks, streamline vendor risk management, and address industry standards like SOC 2, ISO 27001, and CMMC to save time and improve efficiency.
Future Directions and AI Integration:
How Vanta is expanding into new frameworks like the EU AI Act and leveraging AI to simplify compliance, optimize workflows, and address evolving trends in governance and security.
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also...Joseph goes independent, Perplexity's new search API, Stoicism's gift, and much more...
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also...Russia's actual playbook, CISA's new rating system, and everyone's doing robots now
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Navigating AI's impact on work, the rise of transnational threats, a grim new reality in air travel, and how to harness the chaos of 2025 for personal and professional growth.
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...plus building personal TELOS files, the ChatGPT Pro vs. Claude coding face-off, a human bird flu case in Louisiana, and ketones fighting Alzheimer’s.
➡ Make your app enterprise-ready and start selling to enterprise customers with WorkOS: workos.com
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In this episode, Daniel Miessler explores how AI can transform our understanding of the present and create actionable paths for a better future.
He talks about:
The Current State, Desired State, and Transition in AI Applications:
How AI frameworks can analyze the current state, define a desired state, and propose action plans to address challenges in education, climate, health, and beyond.
The Infrastructure and Scale of AI:
Why we’re only at the beginning of building the AI infrastructure required for future demands, from GPUs and data centers to startups pushing the boundaries of what’s possible.
The Role of AI in Human and Organizational Development:
How AI can revolutionize personal lives, enhance businesses, and solve societal issues by gathering and analyzing massive amounts of contextual data to provide actionable insights.
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Chapters:
0:00 - Introduction to Unsupervised Learning Podcast
1:10 - Concept: Predicting AI Infrastructure Needs
3:45 - The Challenge of Predicting Technology vs Human Desires
6:20 - Exploring AI Infrastructure Metrics (GPUs, Data Centers, Startups)
8:55 - Philosophical Insight: Current State vs Desired State
12:15 - AI’s Role in Learning from the Past and Anticipating the Future
14:50 - Addressing Global Issues with AI (Education, Poverty, Climate)
18:30 - Transitioning from Current State to Desired State
22:05 - Context Gathering: Granularity and Technology Limitations
25:40 - AI's Impact on Individual and Family Contexts
29:10 - AI’s Potential in Business: Granularity and Cost
32:50 - Vision of Life OS and Personalized Assistance
36:15 - AI in Society: Predicting and Preventing Problems
40:00 - Infinite Context and the Scaling of AI Capabilities
44:30 - Predictions on AI Context Size and Infrastructure Demand
48:20 - The Importance of Understanding the Current State
52:10 - Conclusion
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A conversation with Rob Allen from ThreatLocker, UL's Black Friday sale, Finland's internet disrupted, and more...
➡️ Get Your Free Cloud Security Scan with Wiz: wiz.io/ul
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In this conversation, I speak with Rob Allen, Chief Product Officer at ThreatLocker.
We talk about:
ThreatLocker’s Unique Zero Trust Approach to Cybersecurity:
How ThreatLocker’s "deny by default, permit by exception" methodology, along with automated application learning and built-in definitions for over 4,000 applications, simplifies allowlisting and enhances endpoint security.
Innovations in ThreatLocker’s Control Features:
How ThreatLocker’s ringfencing prevents unauthorized application interactions and data access, and dynamic firewalls mitigate risks like lateral movement and ransomware attacks through endpoint-level network segmentation.
Recent Developments and Cloud Expansion:
How ThreatLocker Detect and Cloud Detect provide advanced detection capabilities for endpoint and cloud environments, including Office 365, enabling anomaly detection, centralized alerts, and proactive threat management.
And more.
Into (00:00:00)
ThreatLocker's Zero Trust Cybersecurity Approach (00:00:31)
Understanding Allow Listing in Cybersecurity (00:01:49)
Managing Software Updates with ThreatLocker (00:02:13)
Automated Application Updates for Over 4000 Programs (00:04:11)
Vendor Collaboration for Early Software Updates (00:05:40)
Challenges and Risks of Immediate Software Updates (00:06:53)
Assuming Breach: A Core Cybersecurity Principle (00:08:10)
Implementing Zero Trust Strategies with Ring Fencing (00:09:30)
Controlling Application Interactions to Prevent Threats (00:09:50)
Advanced Data Protection with Storage Control (00:13:17)
Dynamic ACLs for Smarter Network Control (00:15:48)
Ransomware Risks from Open Ports (00:16:50)
Using Shodan to Identify Open Port Vulnerabilities (00:17:19)
Building Application Allow Lists with Contextual Data (00:18:43)
Learning Mode for Application and Traffic Visibility (00:19:36)
Balancing User Behavior Control and Workflow (00:20:44)
Integrating Detection and Control with ThreatLocker Detect (00:21:44)
Why Detection is Critical in Cybersecurity Layers (00:22:41)
Response Mechanisms and Automated Remediation (00:24:02)
Lockdown Mode: Ultimate Isolation from Threats (00:25:38)
Streamlined Application Approvals with Cyber Hero (00:26:36)
Breaking Down Ransomware Attack Stages (00:27:46)
Introducing Cloud Detect for Cloud Security (00:29:39)
How to Learn More About ThreatLocker Solutions (00:30:47)
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