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Comment by omouse | Hacker News Reader

This is the saddest part of this new artificial intelligence gold rush; not everyone has security/cybersecurity/defensive programming training. The mistakes we see with ETH smart contracts or with JavaScript on web apps is going to be replicated at a far greater scale and at a more dangerous level with machine learning.

Not only will there be algorithmic bias problems, but security problems too! :'(

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Hacking isn't the crisis; everyone knows that everything new will be attacked. The crisis is the lack of prudence in deploying insecure tools in a way that leads to absolutely predictable outcomes.

If experimental software development were like experimental chemistry, people would be a lot more careful. If the detonations happen in the lab instead of the field, I'm pretty sure the robocar makers wouldn't be so quick to talk about the sad, necessary deaths while we learn how to make them, for instance.

idk if traditional security techniques can help with adversarial examples and that sort of thing. it is a very different kind of attack. training people to be paranoid and to worry about data provenance is important, though.

i bet a bigger problem will just be research-quality code with boring ordinary security flaws getting thrown into production.

Do you have a link to go with that reference to mistakes? Thanks

For ETH the big one is the DAO where they had to fork it to recover

There's also other smaller bugs like coinbase and parity wallet

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