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new AI modelsTechCrunch
•Technology
Technology
78% Informative
A Meta exec on Monday denied a rumor that the company trained its new AI models to present well on benchmarks while concealing the models’ weaknesses.
In AI benchmarks, test sets are collections of data used to evaluate the performance of a model after it’s been trained.
An unsubstantiated rumor that Meta artificially boosted its new models' benchmark results began circulating on X and Reddit .
VR Score
77
Informative language
74
Neutral language
49
Article tone
formal
Language
English
Language complexity
60
Offensive language
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Hate speech
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Attention-grabbing headline
not detected
Known propaganda techniques
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Time-value
short-lived
External references
6
Source diversity
2
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