Skip to content
Nobody Knows How to Stop This episode artwork

Sep 11, 2026 42 min

Nobody Knows How to Stop This

from Will AI Snap That with Thanos and Rollins Hosted by Thanos Diacakis, Michael Rollins

AI is becoming more autonomous, more powerful, and harder for humans to understand. But how much control do we really have over artificial intelligence when AI agents can access computers, passwords, Gmail, financial systems, and even build software on their own? In this episode of Will AI Snap That, Thanos and Michael explore the biggest questions surrounding AI safety, autonomous AI, AI risks, and the future of artificial intelligence. They discuss OpenAI’s controversial Navier-Stokes breakthrough, allegations surrounding AI research, massive AI compute and token usage, and the ethics of racing to publish scientific discoveries. The conversation also explores Anthropic’s AI safety concerns, catastrophic AI risk, hidden AI reasoning, and why humans may struggle to understand advanced AI systems. They dive into AI agent orchestration, autonomous software development, AI automation, and whether AI could replace engineers. Finally, Thanos and Michael examine AI security risks, including computer access, Gmail, passwords, banking systems, MCP, and fine-grained permissions. If you’re interested in artificial intelligence, AI agents, AI safety, AI security, autonomous AI, and the future of AI, this episode is for you.

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Nobody Knows How to Stop This

0:00 42:03

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Will AI Snap That with Thanos and Rollins?

This episode is 42 minutes long.

When was this Will AI Snap That with Thanos and Rollins episode published?

This episode was published on September 11, 2026.

Can I download this Will AI Snap That with Thanos and Rollins episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.