Before approving AI research, ask a human to explain it
A new paper proposes a check: Can the person in charge explain what the AI made? If not, work should stop for review.
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Lead story
A good AI score may still miss what a student got wrong
In a college computer science study, AI scores looked sound. But AI was less useful than teachers at spotting student errors.
Source: arXiv · Oct 7, 2026Read original source
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Can AI solve AI safety if we cannot check its work?
Zvi Mowshowitz warns against asking today's AI to solve future AI risks without a way to check the answer. It is his view, not a measured forecast.
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The robot demo works. The next task may not.
Robots are improving at tasks they practiced in a lab. Unseen tasks still trip them up, and training takes costly examples.
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An AI can sound sure even when it expects to fail
In a test of who gets the task, an AI claimed high confidence on many tasks it was unlikely to finish. Check its work, not its tone.
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Research & Science
Approved work does not prove who did it
On one online research site, AI help showed up in 1% of submissions and was often approved. Approval alone cannot show a person's own skill.
Beyond PromptingRead story
