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By the way, the fact that "average" and "best" human performance are presented as meaningful benchmarks is one of the biggest signs that modern AI is driven by
by colllectorof 8y ago
By the way, the fact that "average" and "best" human performance are presented as meaningful benchmarks is one of the biggest signs that modern AI is driven by hype, rather than science.
For example, speech recognition AI is supposedly within fraction of a percent from "average human level", and yet auto-generated captions are awful. They have no punctuation, they don't distinguish between different speakers, they aren't visually grouped, and fail miserably dealing with slang. So turns out researchers are measuring only one aspect of the problem their algorithm is good at and ignoring the rest.
On the flip side, we have animal intelligence. Bees aren't nearly as smart as humans. So surely modern AI, which surpasses humans in this and that, would have no problem outperforming a bee with its 960 000 neurons, right? But in reality, there is nothing even approaching bees' versatile intelligence. Of course, modern AI researchers would just hand-wave this saying the problem is not well defined. Convenient.
- gwern 8y ago> For example, speech recognition AI is supposedly within fraction of a percent from "average human level", and yet auto-generated captions are awful. They have no punctuation, they don't distinguish between different speakers, they aren't visually grouped, and fail miserably dealing with slang. So turns out researchers are measuring only one aspect of the problem their algorithm is good at and ignoring the rest. YouTube captioning != SOTA, any more than Google Translate for years and years represented anything close to the NMT SOTA.