A Possible Path to ASI

Apr 8, 2025

Dive into the evolving landscape of AGI and ASI with a fresh, human-focused perspective. Discover how defining AGI not just as a technical concept, but by its capability to match a human knowledge worker, sheds light on its significance. Explore the pivotal role of invention as the key output of intelligence, and learn how AI can be harnessed to automate and enhance the scientific method. This thought-provoking discussion emphasizes scaling innovation through structured experimentation, paving the way toward the future of intelligence.

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INSIGHT

Human-Centric AI Definitions

AI definitions are often too technical and not useful in conversations.
Definitions should be human-centric and easily understandable.

INSIGHT

Defining AGI

AGI is defined as an AI system performing cognitive tasks as well as a 2022 US knowledge worker.
This definition provides a tangible benchmark for general intelligence.

INSIGHT

Defining ASI

ASI surpasses human intelligence, making it harder to define due to lack of real-world examples.
Defining ASI requires actively imagining something beyond our current understanding.

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The conversation around AGI and ASI is louder than ever—but the definitions are often abstract, technical, and disconnected from what actually matters. In this episode, I break down a human-centered way of thinking about these terms, why they’re important, and a system that could help us get there.

I talk about:

• A Better Definition of AGI and ASI
Instead of technical abstractions, AGI is defined as the ability to perform most cognitive tasks as well as a 2022 U.S.-based knowledge worker. ASI is intelligence that surpasses that level. Framing it this way helps us immediately understand why it matters—and what it threatens.

• Invention as the Core Output of Intelligence
The real value of AGI and ASI is their ability to generate novel solutions. Drawing inspiration from the Enlightenment, we explore how humans innovate—and how we can replicate that process using AI, automation, and structured experimentation.

• Scaling the Scientific Method with AI
By building systems that automate idea generation, recombination, and real-world testing, we can massively scale the rate of innovation. This framework—automated scientific iteration—could be the bridge from human intelligence to AGI and beyond.

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Chapters:

00:00 - Why AGI and ASI Definitions Should Be Human-Centric
01:55 - Defining AGI as a 2022-Era US Knowledge Worker
03:04 - Defining ASI and Why It’s Harder to Conceptualize
04:04 - The Real Reason to Care: AGI and ASI Enable Invention
05:04 - How Human Innovation Happens: Idea Collisions and Enlightenment Lessons
06:56 - Building a System That Mimics Human Idea Generation at Scale
09:00 - The Challenge of Testing: From A/B Tests to Biotech Labs
10:52 - Creating an Automated, Scalable Scientific Method With AI
12:50 - A Timeline to AGI and ASI: Predictions for 2027–2030

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