Unverified50% confidenceFactExact time
The author admits that the steering algorithm went wrong again, and this is not the first time he has erred in the steering logic.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/25/2026
First Seen
Valid until: 11/8/2026
Sources
Related Entities
Related Claims
UnverifiedAlgorithm aversion refers to the phenomenon whereby people's tolerance for algorithmic errors is far lower than their tolerance for human errors.67% similarUnverifiedThe author believes that an agent is just as likely to draw the wrong lesson from a failure as it is to reach the wrong conclusion when writing code, and that 'this time it failed' does not equal 'never do this'.67% similarUnverifiedA common issue with automated post-production is that the algorithm may misidentify the focal point, potentially requiring extra rework when the algorithm's judgment does not align with the creator's intent.66% similarUnverifiedOn the three handwritten problems the author tested himself, Somo accurately found the erroneous line in each: one division-by-2 error, one missing negative sign when transposing terms, and one where the two sides of the equation were multiplied by different numbers; the author specifically notes that no real students have used it and that all test problems were written by himself.66% similarUnverifiedThe authors provide new information-theoretic lower bounds, proving in a minimax sense that the complex dependence of the error on q is fundamental rather than an artifact of the algorithm design.65% similar
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