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AI Grades Its Own Homework
A student marking their own homework saves time. That doesn't make the grade trustworthy. AI can help engineers build better AI. With an open loop, humans still review the changes...
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The story, straight
A student marking their own homework saves time. That doesn't make the grade trustworthy.
AI can help engineers build better AI. With an open loop, humans still review the changes.
A closed loop removes that human reviewer, allowing the improvement process to continue without that checkpoint.
On Moonshots, the panel discussed a conference warning from Demis Hassabis: in his view, removing human review is the riskiest next phase of AI self-improvement. Inc's coverage independently reports that warning.
This is his assessment, not evidence that machines have already escaped human control.
A Moonshots panelist argued that labs are already deep in the process and that human review cannot keep pace with sufficiently fast systems running many copies. That is the panelist's claim, not a verified finding that every lab has eliminated reviewers.
Another panelist separated agents acting on the internet from AI improving AI. A crowd of digital interns isn't automatically a machine rewriting its own abilities.
The useful question: who checks each change, and can they actually keep up? A missing teacher is not a passing grade.
Episode: https://www.youtube.com/watch?v=GZrDapFXk0I&t=3478s
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The absurd
Why this is ridiculous
The proposed shortcut removes the person checking the machine's work.
The breakdown
How it breaks down
Closed loops let AI improve AI without a human reviewer.
The upside
Why it could matter
Ask who checks each change before trusting self-improving AI.


