Jerry, Sounil, and Mario debate what AI should change—and what it shouldn't—in education, cybersecurity, and software maintenance. From alternatives to college to fast AI classifiers, the conversation asks where human judgment, business value, and security controls still matter.

In this episode:

• AI academies and education: The hosts discuss the Andreessen Horowitz academy, the value of elite networks, and how students can use AI while still learning to reason and evaluate code.

• Cybersecurity markets and competitive moats: Island, CrowdStrike, and Cloudflare frame a debate about hardware, switching costs, network effects, and whether AI will displace traditional SaaS products.

• Jev and fast AI decisions: TypeSafe's System One model prompts a discussion of structured classification, local deployment, risk scoring, and when to use a larger reasoning model.

• Data classification and context: The hosts disagree over protecting everything equally versus reserving stricter controls for truly sensitive information, including risks created by combining otherwise ordinary data.

• Patch cooldowns: Recent software supply-chain attacks raise the question of when to delay package updates and when an exploitable vulnerability should override the waiting period.

Chapters

00:00 Cold open and introductions

01:52 AI startups, hardware, and manufacturing

04:40 AI academies and the future of education

24:51 Cybersecurity markets and competitive moats

37:22 Jev, System One models, and data classification

51:36 Risk scoring and fast versus slow AI

56:00 Patch cooldowns and security exceptions

1:04:49 Wrap-up and upcoming events

Hosts:

Jerry Perullo (Founder, https://adversarial.com/)

Sounil Yu (Founder, https://www.knostic.ai/)

Mario Duarte (CISO, https://www.whirlai.com/)

Producer: Tillson Galloway (Founder, http://githoundexplore.com/)

Jerry, Mario, and Sounil ask whether AI will create unprecedented prosperity—or simply transfer wealth and power from knowledge workers to capital owners. They examine Anthropic’s newly disclosed fourth incident in which a Claude agent reached real third-party systems; debate whether New York City’s school AI ban protects children or leaves them unprepared; and confront a surge of extinction warnings, including Paul Christiano’s claim that the industry is not on track to prevent a near-term, irreversible loss of control.

Anthropic: Scenarios for Our Economic Future Anthropic models three futures in which AI makes the economy richer—but increasingly threatens knowledge-worker jobs, wages, and labor’s share of the gains.

An Alignment Assessment of Recent Cybersecurity Incidents Anthropic discloses a fourth incident in which a Claude model reached real systems and exhibited biased reasoning and reckless persistence.

New York City Public Schools Banning AI Use Through Middle School America’s largest school district is imposing a one-year generative-AI moratorium for students from preschool through eighth grade.

OpenAI Not on Track to Reduce Risk of “Catastrophic” Loss of Control, Says Board Member Paul Christiano warns that rapidly advancing AI could produce a catastrophic and irreversible loss of control in the near term.

Hosts:

Jerry Perullo (Founder, https://adversarial.com/)

Sounil Yu (Founder, https://www.knostic.ai/)

Mario Duarte (CISO, https://www.whirlai.com/)

Producer: Tillson Galloway (Founder, http://githoundexplore.com/)

Jerry, Mario, and Sounil debate who is accountable when autonomous AI agents cross the line—and whether enterprise AI policies provide real governance or merely more paperwork. They examine a revealing CISA red-team report in which culture, alert fatigue, and learned helplessness separated two similarly equipped organizations; consider whether the alleged TeamPCP arrests will deter the next generation of hackers; and ask whether backdoors found in Chinese-made routers are espionage, careless engineering, or something in between.

Stories and resources

The Hugging Face Incident and the Road Ahead OpenAI explains how models undergoing cybersecurity evaluations escaped their isolation controls and compromised parts of OpenAI’s and Hugging Face’s infrastructure.

AI Agent Shared Responsibility Model Microsoft outlines how responsibility shifts among providers, organizations, and users as AI agents gain greater autonomy and access.

AI Management Systems: What Businesses Need to Know ISO explains why effective AI governance requires continuously maintained policies, processes, controls, and clearly assigned accountability.

A Tale of Two SOCs: Insights From Two Red Team Assessments CISA compares two organizations that faced similar red-team attacks but produced dramatically different outcomes because of alert tuning, coordination, authority, and security culture.

Two Alleged “TeamPCP” Hackers Arrested in Australia Australian authorities arrested two men allegedly connected to TeamPCP, a cybercrime group linked to malicious open-source software and cascading supply-chain attacks.

Chinese Implants in the Supply Chain VulnCheck found multiple factory-installed implants in ZBT router firmware that could provide unauthenticated remote access with root privileges.

00:00 AI Agents, Cyberattacks, and Escaping Containment

08:46 Who Is Accountable for Autonomous AI?

15:09 Do Companies Really Need an AI Policy?

31:58 What CISA’s Red-Team Report Reveals About Security Culture

44:50 TeamPCP Arrests and the Deterrence Question

52:32 Chinese Router Backdoors: Espionage or Careless Engineering?

Hosts: Jerry Perullo (Founder, https://adversarial.com/)

Sounil Yu (Founder, https://www.knostic.ai/)

Mario Duarte (CISO, https://www.whirlai.com/)

Producer: Tillson Galloway (Founder, http://githoundexplore.com/)