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Tesla Steers Onto Train Tracks It Apparently Mistook for a Road, Police Warn (www.hngn.com)

submitted 3 months ago by [email protected] to c/[email protected]

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The incident in northern California marked the latest mishap blamed on the electric vehicle company's Autopilot tech

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[–] [email protected] 1 points 3 months ago (1 children)

Blue LED-lights, the TV, radio, airplanes, the personal computer, the light bulb, nuclear fission, optical microscopes, shooting lasers for an aptosecond are among some thing previously thought to be impossible to do.

Let's just say it's not so clear. Limited mechanical computers of various principles humans have made since Antiquity, analog devices to compute various things were being made even before electricity. Well, even the known scene about Archimedes, water, crown and "eureka" is that. Flying machines - the same, though we wouldn't have airplanes until good enough propulsion.

Romans and Byzantines would even make mechanic servants to pour wine, or devices playing music.

It's rather that people wouldn't have any context to think about such specifics. But they didn't consider such things impossible.

While Pi is still not 4, just as it wasn't anywhere near 4 in Sargon the Great's time. I mean, depends on the geometry chosen.

Who said anything about Steve Jobs? I never mentioned anyone specific and as you say, there are many people that would make that list.

I did in the comment you were answering to, so made such a guess.

I would consider the “experts” and laymen with a sceptical attitude towards innovation to be nay-sayers.

The sceptical attitude is to the cargo cult of "innovation" without understanding the matters in question.

I think it’s weird how so many people suddenly became experts on AI as soon as OpenAI released ChatGPT.

Dunno what "AI" is, but knowing enough about ML takes a few evenings. It's not a complex matter. All the market value is not in complexity, it's in datasets.

But that doesn’t mean I can not see the value it can potentially bring in the future once it’s more developed. The developments within the AI-field has only just begun.

Something extrapolating datasets won't be more useful by being "more developed".

My use of the word AI is very broad. I am not saying that ChatGPT could drive a car. But I 100% believe that we will have self-driving cars before I die of old age.

Then you should have said that in the beginning and there'd be no argument. Only then this have nothing to do with all these bullshit companies, because what they are doing is snake oil, not "AI".

[–] [email protected] 1 points 3 months ago* (last edited 3 months ago)

Then you should have said that in the beginning and there'd be no argument. Only then this have nothing to do with all these bullshit companies, because what they are doing is snake oil, not "AI".

I'm with you on the current use of machine learning being snake oil but I never said anything about ML. I'm not sure how my first post was unclear. You just made a lot of assumptions.

According to Google I am using the term correctly.

AI is the broader concept of enabling a machine or system to sense, reason, act, or adapt like a human

ML is an application of AI that allows machines to extract knowledge from data and learn from it autonomously

Edit: I was apparently too tired to see that you wrote machine learning in your initial reply

Edit 2: I feel like this discussion has gone way off topic and I am done with it. The OP claimed that we will not see real self-driving cars within our lifetime and I disagree with that