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ChatGPTEl Pais (Spain)
•77% Informative
Language models have an underlying problem that tends to get worse: these systems often give incorrect answers.
It is not easy for a human to detect when one of these models may be making a mistake.
The paper proves that humans often believe that incorrect results to difficult questions are correct.
People will increasingly set more difficult goals for these models and pay less attention to the simpler tasks.
AI expert Ilya Sutskever , co-founder of OpenAI and one of the most influential scientists in the sector, has just founded a new company.
Zhou : “I would not trust, for example, the summary of a 300 -page book,” explains Zhou .
“These systems are not deterministic, but random. In this randomness they can include some content that deviates from the original. This is worrying.”.
VR Score
77
Informative language
76
Neutral language
36
Article tone
formal
Language
English
Language complexity
51
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
2
Source diversity
2
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