Engineer explains AI, AGI, and ASI as work delegation stages
An engineer outlines differences between AI, AGI, and ASI based on how much work they can handle. Current AI—like tools for scripting, documentation, or debugging—already automates tasks but requires human oversight for errors or unexpected problems. AGI is framed as hypothetical AI capable of end-to-end problem-solving across domains, such as designing a service from market research to…
Key points
- AI today automates tasks like scripting, debugging, and documentation but needs human verification for accuracy
- AGI is a debated concept for AI matching human flexibility across novel problems, with no agreed definition or achievement
- ASI remains theoretical, proposing intelligence far exceeding humans, with unknown development timelines
ASI represents a speculative leap beyond human intelligence, potentially solving problems decades ahead of current research timelines. The author emphasizes practical use of today’s AI over speculation about AGI or ASI, stressing the need for systems that delegate tasks safely while retaining human control over critical decisions like production changes or service outages. They advocate for designing boundaries between AI and human roles to maximize efficiency without risk.
What are AI, AGI, and ASI? | Thinking about the evolution of AI and our future from an engineer's perspective
note.com · 4 November 2026
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