You are comparing a modern vehicle with a car manufactured in 1957.
Zero to sixty time for a 2023 Chrysler 300 (naturally aspirated) is 4.4 seconds.
Passenger cars with large displacement engines have been regulated out of existence.
Lexus discontinued the V-8 engine in the large LS sedan, replaced with a turbo charged V-6. Sales declined, their flagship vehicle has been discontinued.
My use of an older car for comparison purposes was because a certain forum member stated that “there’s no substitute for displacement”.
I have never been real concerned about 0 to 60, but that little jeep I rented a few years ago could not get out of its own way. Not acceptable.
Budget minded rental car 2018 Jeep Compass zero to sixty; 8.7 seconds.
Acceleration; you do care/you don’t care, you should have rented a Camaro.
AI will eventually destroy itself. The human derived training information will eventually become obsolete and the AI will have to train from other AI.
I agree, since @Bing lives in the snow country, he should have rented a Camaro, a “4-wheel drive” Camaro…
(four emoljis to drive on… 
…)
I wouldn’t count on that.
…while visiting Southern California or Florida. He owns an all-wheel-drive vehicle, no need to rent one for local driving.
Well it was Florida so no snow. I just said it had very slow pick up. I didn’t want to buy one, just rented it. I don’t drag race. But it didn’t have very good cargo space either.
Not to disappoint but we have rarely had enough snow in Minnesota while needing to drive to even give the awd a good test.
In 1951, a writer for Popular Mechanics published his test drive of a new Chrysler with the Hemi V8. He stated that, during one of his drives, the car’s superior acceleration allowed him to avoid an accident. He also stated that–for the first time–he learned that having very good acceleration ability was actually a safety factor.
Anyone who has ever been saddled with a slow car can probably recall some anxious moments when merging into an expressway. My 1960 Falcon was bog-slow, and because of that factor, I was reluctant to take it on expressways.
Well, this is the actual definition of true AI. It learns and adapts as it goes. Far from destroying itself, it will eventually no longer need human interaction and will be able to survive on its own. The definition of life itself… The Terminator movie coming to reality- when AI coupled with robotics realizes it no longer needs humans and they are a detrimental biological infestation on this planet…
If AI does in fact start “thinking” on its own, it will not be a matter of “needing” humans, but rather a matter of “wanting” humans… 
Have a nice day…. 
With all the advancements in AI technology (hardware and software) - we’re still decades away from that ever happening on a large scale. There are many approaches to AI. The closest to a real thinking machine is one that AI approach that is mimicking a humans Brain neuron. We have over 80 BILLION Neurons and over 100 TRILLION synapses in our brains. Even with all the advances in computers and software in the past 40 years we’re not even close to emulating a brain yet. Building computers to emulate a human brain and nervous system
Many people think computers can think NOW. They can’t. Not even close. It’s simulated. Chess is a very complicated game to play and infinitely more complicated to master, yet there are software programs you can download now to your laptop that can beat all but the very best Grand Masters.
When ai can fix things, let me know. Actually repair stuff.
That’s true but whatever it is, doesn’t need to be anywhere close to the functioning capacity of a human brain to be capable enough to be either beneficial or a serious problem for us 
AI doesn’t need to be physically capable- as a standalone entity. Almost everything is internet connected already. All it needs to do is interact with the infrastructure already in place.
Movies are just movies but watch “Afraid” if you haven’t already. Entertaining, eye opening and thought provoking…“Ex Machina (2014)” is another great sci-fi movie in a similar vein…
Currently it takes a team of scientists over a year to map a 3D image of a protein. AI has been able to do this modeling in a day. Let me know when humans can do it that fast.
What’s more important: 3D imaging proteins, or replacing loose tie-rod ends or warped brake rotors on a car, or replacing a flapper in a run-on tollet?
Depends on who you ask. Modeling proteins helps providing binding sites and ways to combat diseases. So, which is more important - replacing a tie-rod or finding a cure to a disease your 5yo child will die from in 3 years? I know what my answer would be.
… or… diagnosing a potentially fatal condition much faster and more accurately than many MDs can? In the specialties of radiology and pathology, AI has been shown to increase the accuracy and the speed of diagnoses by over 90%.