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In 2008, the Ilulissat Glacier in Greenland had a calving event in which it shed a single iceberg covering three square miles. It sheds 35 billion tons of icebergs in the average year.
And moving glaciers don't leave much of anything in their wake, except rubble.
I mean... Okay, it's not impossible. If you want to build an anti-glacier barrier, go right ahead. Yes, I'll make popcorn, but if you succeed I'll gladly give you credit.
Update: CBD points out in comment #17 that that part of the plan isn't to stop the glaciers moving but to block warm currents that would melt them more quickly. And the part about drilling holes in the ice is to pump out water so they move more slowly. Paragraph five explains it better than the first four.
If the child knows the right exploit. Even after researchers updated the AI to handle this, it only won 22% of the time.
Improving these kinds of "worst case" scenarios is key to avoiding embarrassing mistakes when rolling an AI system out to the public. But this new research shows that determined "adversaries" can often discover new holes in an AI algorithm's performance much more quickly and easily than that algorithm can evolve to fix those problems.
As with AI chat bots that are easily tricked into selling $50,000 cars for $5, the companies behind them will just blame you.