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Related thread on the front page right now: "Simple questions to help reduce AI hype (smerity.com)" https://news.ycombinator.com/item?id=12062294 https://news.
by Noseshine 10y ago
Related thread on the front page right now: "Simple questions to help reduce AI hype (smerity.com)"
https://news.ycombinator.com/item?id=12062294 https://news.ycombinator.com/item?id=12062294
Excerpt:
> ...good performance on a dataset also doesn't necessarily imply good performance in the real world. I'd wager that even trivial self-driving car models, given reasonable data, would be able to score in the high 90s if we decided on a reasonable notion of accuracy. The real stickler is the last few percent. When we make a mistake at high speed on a road, potentially under questionable conditions, the results can be disastrous. If the cost of a mistake is high, accuracy really doesn't mean anything, especially over a dataset that might not be representative in the first place.
- peteretep 10y ago> When we make a mistake at > high speed on a road, > potentially under > questionable conditions, the > results can be disastrous Given that that's no less true for humans, why do we require 100% accuracy from cars, rather than just "on average better than humans"?