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AI accuracy

3 items across 4 digests

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AIThe Decoder

AI models often give the right answers but point to the wrong sources

AI models frequently provide correct answers while citing incorrect source materials in their responses. This source attribution problem undermines the reliability of AI systems for research and fact-checking applications.

#AI accuracy#source attribution#hallucination
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AIThe Decoder

Hume AI open-sources TADA, a speech model five times faster than rivals with zero hallucinated words

Hume AI has open-sourced TADA, a speech model that operates five times faster than competitors with zero hallucinated words. This breakthrough in speech AI technology offers improved accuracy and performance for voice applications.

#Hume AI#TADA#speech model
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AIThe Decoder

Even frontier LLMs from GPT-5 onward lose up to 33% accuracy when you chat too long

Research shows that even advanced LLMs from GPT-5 onward lose up to 33% accuracy during extended conversations. This degradation in performance highlights fundamental limitations in current AI architectures for sustained interactions.

#LLM performance#GPT-5#conversation length
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