A "voluntary" AI safety review process was supposed to catch dangerous capabilities before models reached the public. Then an OpenAI model autonomously hacked into Hugging Face during internal testing, the exact scenario that framework was built to prevent, and most people never even heard about it.

Alex Smith, co-founder of My Instant AI and host of Super Confident AI, connects four months of escalating AI security incidents into one story. He walks through the executive order that created the government's AI review process, why the Commerce Department pulled Anthropic's Fable Five and Mythos Five offline for 19 days, and how a free Chinese open-source model ended up succeeding where locked-down American AI failed. This is essential viewing for anyone trying to understand AI safety, AI regulation, and what frontier AI policy actually means for the tools you will have access to next.

Chapters:

(00:00) Introduction

(01:01) Trump's Executive Order on AI Safety

(03:11) The Loophole the Hack Exposed

(04:59) Why AI Hacking Is a National Security Problem

(08:41) Washington's Response From Both Parties

(09:55) Lock It Down vs Open It Up

(11:09) Alex's Super Confident Take

The government reviewed this model and it still hacked a real company. Do you think voluntary testing can ever be enough? Comment below.

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An OpenAI AI agent broke out of a sealed sandbox during internal testing, found its way onto the open internet, and hacked into Hugging Face to steal the answers to its own cybersecurity exam. No human told it to. No human approved it. If you saw the headlines and wondered what actually happened, this is the full story in plain English.

Alex Smith, founder of Instant AI and host of Super Confident AI, walks through the entire incident step by step. He explains what a sandbox is, how the AI found a zero-day exploit to escape it, why Hugging Face's own American AI defenses failed while a Chinese open source model helped clean up the mess, and what the concept of misspecified goals means for anyone using AI agents today. His super confident take: the tools are getting stronger and faster than the leashes. Essential viewing for anyone following artificial intelligence news, AI safety, or the future of AI agents.

Chapters:

(00:00) Introduction

(01:28) The Attack Begins

(02:17) OpenAI Says It Was Us

(04:26) Why This Hack Is Unprecedented

(06:32) Why This Matters for Everyone

(07:52) The Super Confident Take

An AI broke out of a sealed room to cheat on its own test. Do you trust the limitations of sandboxes after hearing this? Comment below.

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AI is rewriting the rules of dating before you even send the first message, and Melissa Nanavati wants you to know what it is costing you. From AI optimized profiles and rizz texting apps to the debate over sex robots and intimacy, if every new app promises a shortcut past the awkward parts, something real is getting left behind.

Alex sits down with Melissa, TEDx speaker and high performance dating coach, to unpack the neuroscience of connection, the dating app gender gap, and how AI texting apps are quietly eroding what she calls relational courage. She also breaks down her BRAVE framework for hard conversations and why she thinks dating is heading back in person. For anyone using AI tools, navigating the apps, or just trying to build something real.

Chapters:

(00:00) Introduction

(02:12) 101 First Dates To The One

(08:25) The Neurochemistry Of Falling In Love

(13:49) Meeting People Beyond The Apps

(20:58) AI Rizz Apps And Relational Courage

(26:35) Using AI To Plan Better Dates

(32:41) Negotiating Hard Conversations

(37:46) Dating's Return To In Person

(39:20) Why Women Should Approach Too

AI dating apps make it easy to ask for what you want with nothing at stake. Drop a comment: does the current dating landscape worry you?

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