Communications of the ACM
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From BLOG@CACM
Face It, Self-Driving Cars Still Haven't Earned Their Stripes
Edge cases remain a serious, unsolved problem, $100 billion later.
From BLOG@CACM
What If Generative AI Turned Out to be a Dud?
Some possible economic and geopolitical implications.
From BLOG@CACM
Two Models of AI Oversight — and How Things Could Go Deeply Wrong
It's good that governments are stepping up, but some of the signals are deeply worrisome.
From BLOG@CACM
Scientists, Governments, and Corporations Urgently Need to Work Together to Mitigate AI Risk
"It is hard to see how you can prevent the bad actors from using it for bad things"—but we must try.
From BLOG@CACM
The Sparks of AGI? Or the End of Science?
Marching into the future with an obstructed view.
From BLOG@CACM
GPT-4's Successes, and GPT-4's Failures
How GPT-4 fits into the larger tapestry of the quest for artificial general intelligence.
From BLOG@CACM
How Not to Test GPT-3
Why doing psychology on large language models is harder than you might think.
From BLOG@CACM
Why *is* Bing So Reckless?
And how did some prominent journalists utterly miss this initially?
From BLOG@CACM
Large Language Models like ChatGPT say The Darnedest Things
ChatGPT makes the same kinds of mistakes its predecessors did. What can and should we do about it?
From BLOG@CACM
What to Expect When You're Expecting ... GPT-4
What comes after ChatGPT? Seven predictions for 2023.
From BLOG@CACM
AI's Jurassic Park Moment
New systems like chatGPT are enormously entertaining, and even mind-boggling, but also unreliable, and potentially dangerous.
From BLOG@CACM