Vote on which of Hacker News' challenges for AI have been met
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Unofficial Hacker News client; not affiliated with Y Combinator.
Vote on which of Hacker News' challenges for AI have been met
Unofficial Hacker News client; not affiliated with Y Combinator.
joegibbs · · focus · HN ↗
BobbyTables2 · · focus · HN ↗
It also didn’t help that for a very long time, simple adaptive filters and basic neural networks were branded as “artificial intelligence” despite having very basic capabilities and little mystery on how/why they worked in their narrow use case.
I didn’t believe the recent hype for a very long time. But having tried out the latest models, I’m kinda shocked. In 1 minute it comprehends a complex niche code base and points out subtle errors with very little noise. A senior engineer we would have taken months to do less. Coverity would have cost dearly and generated far more false positives than substance.
brokenmachine · · focus · HN ↗
They of course operate faster than humans, but this is hyperbole. Unless your senior engineer sucks.
BobbyTables2 · · focus · HN ↗
The very best people I’ve ever worked with would have taken at least week to find and prove even 1 or 2 of the lowest hanging findings.
It would still take a few months for them to really digest everything and come up with substantial ideas for improvement.