The White House has ordered federal agencies to stop saying AI and start saying Super Intelligence, and the hosts want to know whether anything actually changed overnight. Matt walks through the executive order and the separate voluntary accord signed by tech leaders, while Izar points out that the order renames the technology sixty days before anyone has to define it. They read the legal definition of AI in the US Code, argue over whether today's models are superintelligent or just very fast at recall, and Chris previews next week's topic of AI and public key crypto. Then they turn to Anthropic's new usage policy, which bans sustained and needless cruelty toward Claude starting November 12. Chris confesses to typing in all caps, Izar suspects the real motive is keeping abusive language out of training data, and Matt argues that abusive prompts can steer a model toward worse answers. Their verdict: be nice to your AI, if only because of what it says about you.

Mentioned in this Episode:
➜ Inaugurating The Era Of Super Intelligence (Executive Order 14434)
➜ Trump signs executive order rebranding AI as 'Super Intelligence' as tech titans ink separate SI accord
➜ 15 U.S. Code § 9401: Definitions
➜ Anthropic: 2026 Usage Policy update

Chapters:
00:00:00 - Cold Open: Matt's Many Personal Agents
00:01:09 - Off Facebook This Decade
00:02:13 - Is Bluesky Dying?
00:03:27 - Social Platform User Counts
00:04:39 - Watch Our Shorts
00:05:38 - Moltbook's Mysterious User Count
00:06:29 - Article Intro: AI Becomes SI
00:07:36 - What Does Superintelligence Mean?
00:09:15 - The Executive Order Explained
00:10:26 - A Definition Due in 60 Days
00:11:16 - AI in the US Code
00:11:52 - Voluntary Principles and Regulation
00:13:14 - Reading the Legal Definition of AI
00:14:53 - Does Machine Learning Count?
00:15:25 - Rebranding the Rebrand
00:16:55 - Are AI and SI Interchangeable?
00:18:03 - Matt's Case: Superintelligent Capabilities
00:19:37 - Izar's Rebuttal: Memory Is Not Insight
00:20:13 - Super as in Really Good
00:22:32 - Beyond Imitating Human Intelligence
00:24:30 - Next Week Preview: AI and Public Key Crypto
00:26:45 - Article Intro: Anthropic's Cruelty Ban
00:28:08 - Yelling at Voice Assistants
00:29:43 - All Caps and Passive Aggression
00:30:27 - Does Being Mean Make AI Perform Better?
00:31:50 - Yelling at a Mac Mini
00:32:48 - Izar's Theory: Cleaner Training Data
00:35:15 - Can You Get AI to Swear?
00:37:02 - Matt's Case: Abuse Biases the Results
00:40:27 - Who Decides What Counts as Abuse?
00:41:59 - Closing Statements: Treat Your AI Nice
00:43:11 - Outro

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OpenAI says the policy window is open and wants binding federal rules for frontier labs, clear incident reporting, and disclosure whenever a model gets around its own security controls. The table asks whether that is real accountability or a lab writing the rules it already expects to win under. Matt sees the leader pulling everyone else into the funnel, Chris calls it an innovation killer, and Izar wonders why anyone is treating incident reporting like a new idea. From there it is OpenAI's favorite California bills, who gets to audit the labs, and Senator Markey's proposal for an NTSB style board with subpoena power to investigate AI driven attacks. Then the real question: when an agent escapes its sandbox and breaks something, who goes to jail? Izar argues nobody will until there is real impact and asks why computer science never got its own Hippocratic Oath. Plus: Matt earns a new nickname, the Concluder.

Mentioned in this Episode:
➜ The AI policy window is open. We need to act.
➜ We Must Pace the Frontier
➜ Senator Markey Introduces the Cybersecurity and AI Board of Investigations Act
➜ OpenAI and Hugging Face partner to address security incident during model evaluation

Chapters:
00:00:00 - Cold Open: Izar Warms Up to Take a Punch
00:01:21 - The Premise: Agents Move Faster Than Humans
00:02:21 - Article Intro: The AI Policy Window Is Open
00:03:08 - Is This Real Accountability?
00:03:34 - Matt's Case: Everyone Into the Funnel
00:05:05 - Self Interest and Buying a Car With Claude
00:06:15 - Izar's Rebuttal: Haven't We Asked for This Before?
00:07:49 - Is Regulation an Innovation Killer?
00:08:19 - Dario's Call to Pace the Frontier
00:09:02 - OpenAI's Four California Bills
00:09:52 - Who Audits the AI Labs?
00:11:51 - Independent Safety Assessments
00:12:12 - Why Only Biological Threats?
00:13:12 - Is the Federal Government the Answer?
00:13:43 - Senator Markey's AI Board of Investigations Act
00:14:54 - Who Plays Izar in the Movie?
00:16:02 - Do We Want an NTSB for AI?
00:16:27 - When a Test Plane Crashes
00:17:19 - AI Generated Podcasts
00:18:38 - Back to the NTSB: Training Incidents
00:19:35 - What Really Happened at Hugging Face?
00:20:54 - Recommendations Without Enforcement
00:21:51 - Agents Attack and Nobody's Going to Jail
00:22:14 - Izar's Take: Jail Requires Impact
00:24:52 - Are Corporations People?
00:25:41 - Liability: Somebody Wrote the First Line
00:27:55 - Scenario: A Rogue Agent Shuts Off the School Heat
00:29:20 - First Do No Harm in Computer Science
00:30:58 - Should Do No Harm Live in the Model?
00:31:51 - A Hippocratic Oath and Certified Developers
00:33:33 - Not Everyone Can Build a Bridge
00:35:02 - Matt's Close: Visibility Beats Marketing
00:35:43 - Closing Statements: Meet the Concluder
00:36:20 - Outro

Follow AI Security Table:

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➜ LinkedIn: https://www.linkedin.com/company/ai-security-table/

➜ YouTube: https://www.youtube.com/@AISecurityTable

The Security Table is now the AI Security Table, and the first order of business is naming the AI that gets a seat at it. Then Matt asks what a security engineer actually does once agents are writing the code: real security work, or bot herding? Chris Romeo, Izar Tarandach, and Matt Coles detour through who owns AI generated code and what a patent is worth when a model can rebuild your product in five minutes, then dig into agent identity, SPIFFE, least privilege, and whether access control belongs inside the agent harness itself. Izar argues that guardrails living in the context window are suggestions, not isolation, and that anyone who says AI changed their whole job overnight was putting the weight in the wrong place. It all ends on determinism: run the model once and you get one answer, run it again and you get another. Which leaves three kinds: determinism, nondeterminism, and my determinism.

Mentioned in this Episode:
➜ Generative Artificial Intelligence and Copyright Law (CRS Legal Sidebar)
➜ SPIFFE: Secure Production Identity Framework for Everyone

Chapters:
00:00:00 - Cold Open: We Are Broadcasters
00:01:06 - A New Name: The AI Security Table
00:02:17 - Naming the AI at the Table
00:03:02 - Stickers, T Shirts, and the Rebrand
00:03:49 - Matt's Setup: Security Engineers or Bot Herders?
00:04:54 - Does Claude Code Write All the Code Now?
00:05:34 - Who Owns AI Generated Code?
00:08:27 - Who Bothers to Steal Code Anymore?
00:08:47 - What's the Point of Patents?
00:11:33 - What the Law Says About AI Authorship
00:12:24 - Hallucinating: 200 Subagents at Once
00:13:34 - Back on Topic: Bots vs. Agents
00:14:18 - Agents Inherit Human Identity
00:14:49 - SPIFFE and Identity at Scale
00:16:35 - Treat Agents Like Bob From Marketing?
00:17:40 - Why? Why? The Five Whys
00:18:48 - Cryptographic Identity for Agents
00:19:37 - Authority Is Always Derived
00:20:59 - Least Privilege: Agents Request Access
00:21:26 - Read, Interpret, Act: Fine Grained Capabilities
00:24:22 - Access Control Inside the Agent Harness
00:26:17 - I Don't Trust the Box: Sandbox Escapes
00:27:34 - Pulling a Maestro: Guardrails vs. Isolation
00:29:43 - What Should Security Engineers Be Doing?
00:30:38 - Is AI Just a Layer Seven Application?
00:31:34 - Pull the Plug: 2001 and WarGames
00:33:29 - Your Job Didn't Change Overnight
00:34:37 - LLM Code Review and the Determinism Problem
00:35:44 - How Many Runs to Get the Circle?
00:38:16 - The Tightest Box Possible
00:39:09 - Twenty Thousand Feet to the Magnifying Glass
00:39:47 - Give Scanning Agents a Threat Model
00:40:32 - There Is My Determinism
00:41:09 - Outro

Follow AI Security Table:

➜ Home: https://securitytable.ai/

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➜ LinkedIn: https://www.linkedin.com/company/ai-security-table/

➜ YouTube: https://www.youtube.com/@AISecurityTable