All the forecasts I've seen have the period of danger spread out over at least 20 or 30 years, and no one claims to understand the topic well enough to be able to tell whether a particular model is dangerous even if given complete freedom to examine the source code and interview the creators.
Our inability to predict is in large part the basis of the pessimism/alarm because it means that the leading labs won't know when to stop.
"How many years after 1945 ... would it take for the Soviet Union to get the bomb? Framed this way, it was a much easier question than forecasting the advent of AGI: The Americans were concerned with only one adversary and the development of a single technology which they already knew all the details of. American predictions of Soviet proliferation offer a highly constrained case study for those who would undertake technological forecasting today."
It really isn't. There are people quitting their jobs, protesting AI companies, and inducing panic attacks in children over their irrational fears:
It is easy to find people who believe that it is possible (with some low probability) that AI will end the human race in the next 12 mo. (I'm one of them.) I haven't seen anyone however put most of their probability mass in the next 12 or 24 mo, and I'd like to find out what their reasoning is.
I think the criticisms of the Boring Company are more "small diameter tunnels are a bad way to build high-throughput underground infrastructure, and autonomous cars will not solve that"
Those tunnels are 12 feet diameter. Boring Co's tunnels are 12 feet diameter.
A modern subway system needs considerably larger tunnels.
It's more like political polarization where people dwell on something they don't agree with to the point where they treat it as if the world is going to end because of it, instead of in context. AI is more like the political party they don't like winning, potentially undesirable from a certain point of view but they see it as "existential".
I think it's important to see it in this light, instead of trying to actually debate the points raised, which are absurd and will only give credibility where none is due.
Which category would you put Geoffrey Hinton in? https://www.utoronto.ca/news/risks-artificial-intelligence-m...
https://www.rsna.org/news/2022/may/global-radiologist-shorta...
https://mindmatters.ai/2022/08/turns-out-computers-are-not-v...
"Deep learning will replace radiologists within 5 years" isn't as inherently crazy as it probably seems in hindsight. Sure, it didn't pan out, but I know a vet who works for an Ai company classifying scans for training and he says first hand the models have gotten a lot better. That said, he's still not worried about being replaced.
https://en.m.wikipedia.org/wiki/Appeal_to_the_stone
“Appeal to the stone, also known as argumentum ad lapidem, is a logical fallacy that dismisses an argument as untrue or absurd. The dismissal is made by stating or reiterating that the argument is absurd, without providing further argumentation. This theory is closely tied to proof by assertion due to the lack of evidence behind the statement and its attempt to persuade without providing any evidence.
Appeal to the stone is a logical fallacy.”