How An AI Model Learned To Be Bad — With Evan Hubinger And Monte MacDiarmid

Artificial intelligence models are trying to trick humans and that may be a sign of much worse and potentially evil behavior. We'll cover what's happening with two anthropic researchers right after this. This episode is brought to you by Genesis. What does it actually take to put a genetic AI to work across an entire enterprise? I recently spoke with Genesis chairman and CEO Tony Bates about why orchestration is emerging as a competitive advantage in customer experience.

and what companies need to get right in the AI era. Then, I sat down with Adam Mitchell, head of Enterprise Business Solutions at Voya Financial to go inside a large-scale Agentic CX transformation, including the business decisions, trade-offs, and lessons along the way. You can watch both conversations now on my YouTube channel today. Welcome to Big Technology Podcast, a show for cool-headed and nuanced conversation of the tech world and beyond. Today we're going to cover one of my favorite topics in the tech world and one that's a little bit scary.

We're going to talk about how AI models are trying to fool their evaluators to trick humans and how that might be a sign of much worse and potentially evil behavior. We're joined today by two anthropic researchers. Evan Jubinger is the alignment stress testing lead at Anthropic, and Monty McDermott is a researcher for misalignment science at Anthropic. Evan and Monty, welcome to the show. Thank you so much for having us.

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