And you believe and think that why? Most of us criticizing do that, because we have some idea what machine learning is and what it simply doesn’t solve. It’s not a hard to get knowledge.
I think it’s unreasonable to state that it won’t happen within our lifetime. That’s hopefully 60+ years away for me. It’s a long time for computing and general AI development to advance. Just look at how much has happened in the technology field for the past 30 years.
“It always seems impossible until it’s done.” - Nelson Mandela
Sorry, but this is again abstractions and philosophy, in the genre of Steve Jobs themed motivational texts. Which I hate with boredom (get tired quickly of hating with passion).
Many things have been called “AI” and many will be. I’m certain some will bring very important change. And those may even use ML somewhere. For classification and clustering parts most likely, and maybe even extrapolation, but that’d be subject to a system of symbolic logic working above them at least, and they’ll have to find a way of adding entropy.
What they call “AI” now definitely won’t. Fundamentally.
“It always seems impossible until it’s done.” - Nelson Mandela
Quoting that one guy who hasn’t been hanged\shot\beheaded while many many many more other people trying the same have been. Survivor’s error and such.
Innovators and visionaries is what drives us forward. If they listened all the nay-sayers we would get nowhere. I will keep being optimistic about the future developments of technology.
Innovators and visionaries is what drives us forward. If they listened all the nay-sayers we would get nowhere.
How can you not see that these sentences say nothing?
What’s “forward”? From Hypercard and Genera times to today is “forward”?
Who are “innovators and visionaries”? I mean, that’d be many people, but no Steve Jobs in the list, if that’s what made you write this.
Who are “nay-sayers”? If that’s, say, Richard Stallman, then all his nays on technology (as it happens, he’s kinda weird on other things) were correct.
And the final question, why do you think you can in any way feel the wind of change, when you don’t know the fundamental basics of the area of human knowledge where you “believe” in it? Don’t you think it’s not wind of change, it’s just usual marketing for clueless people?
Say, I see a lot of promising and wonderful things, but people not knowing fundamentals get excited over something stupid which is being advertised to them.
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.
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 would consider the “experts” and laymen with a sceptical attitude towards innovation to be nay-sayers.
I think it’s weird how so many people suddenly became experts on AI as soon as OpenAI released ChatGPT.
I don’t like the current trend of companies putting half-assed AI in to everything. AI is the new buzzword to bring in hype. 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.
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.
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”.
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.
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
They don’t have to be any good, they just have to be significantly better than humans. Right now they’re… probably about average, there’s plenty of drunk or stupid humans bringing the average down.
It’s true that isn’t good enough, unlike humans, self driving cars are will be judged together, so people will focus on their dumbest antics, but once their average is significantly better than human average, that will start to overrule the individual examples.
When people say neural nets are unable to reason, they don’t mean something fuzzy-cloudy like normies do, which can be rebutted by some other fuzzy-cloudy stuff. They literally mean that neural nets are unable to reason. They are not capable of logic.
Reasoning is obviously useful, not convinced it’s required to be a good driver.
In fact most driving decisions must be done rapidly, I doubt humans can be described as “reasoning” when we’re just reacting to events.
Decisions that take long enough could be handed to a human (“should we rush for the ferry, or divert for the bridge?”). It’s only the middling bit between where we will maintain this big advantage (“that truck ahead is bouncing around, I don’t like how the load is secured so I’m going to back off”). that’s a big advantage, but how much of our time is spent with our minds fully focused and engaged anyway? Once we’re on autopilot, is there much reasoning going on?
Not that I think this will be quick, I expect at least another couple of decades before self driving cars can even start to compete with us outside of specific curated situations. And once they do they’ll continue to fuck up royally whenever the situation is weird and outside their training, causing big news stories. The key question will be whether they can compete with humans on average by outperforming us in quick responses and in consistently not getting distracted/tired/drunk.
And you believe and think that why? Most of us criticizing do that, because we have some idea what machine learning is and what it simply doesn’t solve. It’s not a hard to get knowledge.
I think it’s unreasonable to state that it won’t happen within our lifetime. That’s hopefully 60+ years away for me. It’s a long time for computing and general AI development to advance. Just look at how much has happened in the technology field for the past 30 years.
“It always seems impossible until it’s done.” - Nelson Mandela
Sorry, but this is again abstractions and philosophy, in the genre of Steve Jobs themed motivational texts. Which I hate with boredom (get tired quickly of hating with passion).
Many things have been called “AI” and many will be. I’m certain some will bring very important change. And those may even use ML somewhere. For classification and clustering parts most likely, and maybe even extrapolation, but that’d be subject to a system of symbolic logic working above them at least, and they’ll have to find a way of adding entropy.
What they call “AI” now definitely won’t. Fundamentally.
Quoting that one guy who hasn’t been hanged\shot\beheaded while many many many more other people trying the same have been. Survivor’s error and such.
Innovators and visionaries is what drives us forward. If they listened all the nay-sayers we would get nowhere. I will keep being optimistic about the future developments of technology.
How can you not see that these sentences say nothing?
What’s “forward”? From Hypercard and Genera times to today is “forward”?
Who are “innovators and visionaries”? I mean, that’d be many people, but no Steve Jobs in the list, if that’s what made you write this.
Who are “nay-sayers”? If that’s, say, Richard Stallman, then all his nays on technology (as it happens, he’s kinda weird on other things) were correct.
And the final question, why do you think you can in any way feel the wind of change, when you don’t know the fundamental basics of the area of human knowledge where you “believe” in it? Don’t you think it’s not wind of change, it’s just usual marketing for clueless people?
Say, I see a lot of promising and wonderful things, but people not knowing fundamentals get excited over something stupid which is being advertised to them.
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.
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 would consider the “experts” and laymen with a sceptical attitude towards innovation to be nay-sayers.
I think it’s weird how so many people suddenly became experts on AI as soon as OpenAI released ChatGPT.
I don’t like the current trend of companies putting half-assed AI in to everything. AI is the new buzzword to bring in hype. 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.
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.
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.
I did in the comment you were answering to, so made such a guess.
The sceptical attitude is to the cargo cult of “innovation” without understanding the matters in question.
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.
Something extrapolating datasets won’t be more useful by being “more developed”.
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.
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
They don’t have to be any good, they just have to be significantly better than humans. Right now they’re… probably about average, there’s plenty of drunk or stupid humans bringing the average down.
It’s true that isn’t good enough, unlike humans, self driving cars are will be judged together, so people will focus on their dumbest antics, but once their average is significantly better than human average, that will start to overrule the individual examples.
Right now they are not that at all.
When people say neural nets are unable to reason, they don’t mean something fuzzy-cloudy like normies do, which can be rebutted by some other fuzzy-cloudy stuff. They literally mean that neural nets are unable to reason. They are not capable of logic.
Reasoning is obviously useful, not convinced it’s required to be a good driver. In fact most driving decisions must be done rapidly, I doubt humans can be described as “reasoning” when we’re just reacting to events. Decisions that take long enough could be handed to a human (“should we rush for the ferry, or divert for the bridge?”). It’s only the middling bit between where we will maintain this big advantage (“that truck ahead is bouncing around, I don’t like how the load is secured so I’m going to back off”). that’s a big advantage, but how much of our time is spent with our minds fully focused and engaged anyway? Once we’re on autopilot, is there much reasoning going on?
Not that I think this will be quick, I expect at least another couple of decades before self driving cars can even start to compete with us outside of specific curated situations. And once they do they’ll continue to fuck up royally whenever the situation is weird and outside their training, causing big news stories. The key question will be whether they can compete with humans on average by outperforming us in quick responses and in consistently not getting distracted/tired/drunk.