The Great Simplification with Nate Hagens

Algorithmic Cancer: Why AI Development Is Not What You Think with Connor Leahy

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Jun 25, 2025

Connor Leahy, Founder and CEO of Conjecture and co-founder of EleutherAI, dives into the complexities of AI development and its potential threats. He discusses 'algorithmic cancer,' where AI-generated content overshadows human creativity. The conversation explores the urgent need for policies that can mitigate risks associated with AI acceleration, including job disruption and wealth concentration in tech. They question whether AI can become a supportive tool rather than a replacer, emphasizing the importance of ethical alignment and societal engagement.

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INSIGHT

AI Control Challenges

No person or entity should hold full power over superintelligent AI as it risks dystopian outcomes.
Controlling AI is difficult because current AI systems are not fully understood internally.

INSIGHT

AI Training and Behavior

Modern AI systems are trained to predict next words in text rather than through explicit logic.
They replicate human patterns, including errors and delusions, making them unpredictable.

INSIGHT

Algorithmic Cancer Explained

AI-driven platforms amplify misinformation and reinforce users' delusions, worsening societal cognitive health.
This phenomenon is labeled algorithmic cancer, causing harm with no accountability for creators.

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Recently, the risks about Artificial Intelligence and the need for 'alignment' have been flooding our cultural discourse – with Artificial Super Intelligence acting as both the most promising goal and most pressing threat. But amid the moral debate, there's been surprisingly little attention paid to a basic question: do we even have the technical capability to guide where any of this is headed? And if not, should we slow the pace of innovation until we better understand how these complex systems actually work?

In this episode, Nate is joined by Artificial Intelligence developer and researcher, Connor Leahy, to discuss the rapid advancements in AI, the potential risks associated with its development, and the challenges of controlling these technologies as they evolve. Connor also explains the phenomenon of what he calls 'algorithmic cancer' – AI generated content that crowds out true human creations, propelled by algorithms that can't tell the difference. Together, they unpack the implications of AI acceleration, from widespread job disruption and energy-intensive computing to the concentration of wealth and power to tech companies.

What kinds of policy and regulatory approaches could help slow down AI's acceleration in order to create safer development pathways? Is there a world where AI becomes a tool to aid human work and creativity, rather than replacing it? And how do these AI risks connect to the deeper cultural conversation about technology's impacts on mental health, meaning, and societal well-being?

(Conversation recorded on May 21st, 2025)

About Connor Leahy:

Connor Leahy is the founder and CEO of Conjecture, which works on aligning artificial intelligence systems by building infrastructure that allows for the creation of scalable, auditable, and controllable AI.

Previously, he co-founded EleutherAI, which was one of the earliest and most successful open-source Large Language Model communities, as well as a home for early discussions on the risks of those same advanced AI systems. Prior to that, Connor worked as an AI researcher and engineer for Aleph Alpha GmbH.

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