Capability is not reliability
Why might dependable AI coworkers take longer?
Karpathy describes agents as a decade-long engineering effort, pointing to gaps including continual learning.
Andrej Karpathy
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Source, interpretation and uncertainty
What does this actually establish?
| Source status | Publisher chapter at 00:00:00 · Not an independently verified outcome |
|---|---|
| Speaker context | AI researcher · discussing agents and education |
| What remains open | This is a view recorded in October 2025, not a current capability test or a resolved AGI deadline. |
AGI editorial interpretation
Two ways this could unfold
If reliability improves slowly, supervised workflows remain useful. If agents handle unfamiliar tasks well, your test should reveal that change.
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