The model T will absolutely not replace horse drawn carts – Maybe some small group of people or a family for a vacation but we’ve been using carts to do war logistics for 1000s of years. You think some shaped metal put together is going to replace 1000s of men and horses? lol yeah right
You’re comparing two products with the same value prop: transporting people and goods more effectively than carrying/walking.
In terms of mining, a drilling machine is more effective than a pickaxe. But we’re comparing current drilling machines to potential drilling machines, so the actual comparison would be:
is an AI-designed drilling machine likely to be more productive (for any given definition of productivity) than a human-designed one?
Well, we know from experience that when (loosely defined) “AI” is used in, for e.g. pharma research, it reaps some benefits - but does not replace wholesale the drug approval process and its still a tool used by - as I originally said - human beings that impose strict parameters on both input and output as part of a larger product and method.
Back to your example: could a series of algorithmic steps - without any human intervention - provide a better car than any modern car designers? As it stands, no, nor is it on the horizon. Can it be used to spin through 4 million slight variations in hood ornaments and return the top 250 in terms of wind resistance? Maybe, and only if a human operator sets up the experiment correctly.
No, the thing I’m comparing is our inability to discern where a new technology will lead and our history of smirking at things like books, cars, the internet and email, AI, etc.
The first steam engines pulling coal out of the ground were so inefficient they wouldn’t make sense for any use case than working to get the fuel that powers them. You could definitely smirk and laugh about engines vs 10k men and be totally right in that moment, and people were.
The more history you learn though, you more you realize this is not only a hubrisy thing, it’s also futile as how we feel about the proliferation of technology has never had an impact on that technology’s proliferation.
And, to be clear, I’m not saying no humans will work or have anything to do – I’m saying significantly MORE humans will have nothing to do. Sure you still need all kinds of people even if the robots design and build themselves mostly, but it would be an order of magnitude less than the people needed otherwise.
I agree that AI is just a tool, and it excels in areas where an algorithmic approach can yield good results. A human still has to give it the goal and the parameters.
What’s fascinating about AI, though, is how far we can push the algorithmic approach in the real world. Fighter pilots will say that a machine can never replace a highly-trained human pilot, and it is true that humans do some things better right now. However, AI opens up new tactics. For example, it is virtually certain that AI-controlled drone swarms will become a favored tactic in many circumstances where we currently use human pilots. We still need a human in the loop to set the goal and the parameters. However, even much of that may become automated and abstracted as humans come to rely on AI for target search and acquisition. The pace of battle will also accelerate and the electronic warfare environment will become more saturated, meaning that we will probably also have to turn over a significant amount of decision-making to semi-autonomous AI that humans do not directly control at all times.
In other words, I think that the line between dumb tool and autonomous machine is very blurry, but the trend is toward more autonomous AI combined with robotics. In the car design example you give, I think that eventually AI will be able to design a better car on its own using an algorithmic approach. Once it can test 4 million hood ornament variations, it can also model body aerodynamics, fuel efficiency, and any other trait that we tell it is desirable. A sufficiently powerful AI will be able to take those initial parameters and automate the process of optimizing them until it eventually spits out an objectively better design. Yes, a human is in the loop initially to design the experiment and provide parameters, but AI uses the output of each experiment to train itself and automate the design of the next experiment, and the next, ad infinitum. Right now we are in the very early stages of AI, and each AI experiment is discrete. We still have to check its output to make sure it is sensible and combine it with other output or tools to yield useable results. We are the mind guiding our discrete AI tools. But over a few more decades, a slow transition to more autonomy is inevitable.
A few decades ago, if you had asked which tasks an AI would NOT be able to perform well in the future, the answers almost certainly would have been human creative endeavors like writing, painting, and music. And yet, those are the very areas where AI is making incredible progress. Already, AI can draw better, write better, and compose better music than the vast, vast majority of people, and we are just at the beginning of this revolution.
The model T will absolutely not replace horse drawn carts – Maybe some small group of people or a family for a vacation but we’ve been using carts to do war logistics for 1000s of years. You think some shaped metal put together is going to replace 1000s of men and horses? lol yeah right
apples and oranges.
You’re comparing two products with the same value prop: transporting people and goods more effectively than carrying/walking.
In terms of mining, a drilling machine is more effective than a pickaxe. But we’re comparing current drilling machines to potential drilling machines, so the actual comparison would be:
Well, we know from experience that when (loosely defined) “AI” is used in, for e.g. pharma research, it reaps some benefits - but does not replace wholesale the drug approval process and its still a tool used by - as I originally said - human beings that impose strict parameters on both input and output as part of a larger product and method.
Back to your example: could a series of algorithmic steps - without any human intervention - provide a better car than any modern car designers? As it stands, no, nor is it on the horizon. Can it be used to spin through 4 million slight variations in hood ornaments and return the top 250 in terms of wind resistance? Maybe, and only if a human operator sets up the experiment correctly.
No, the thing I’m comparing is our inability to discern where a new technology will lead and our history of smirking at things like books, cars, the internet and email, AI, etc.
The first steam engines pulling coal out of the ground were so inefficient they wouldn’t make sense for any use case than working to get the fuel that powers them. You could definitely smirk and laugh about engines vs 10k men and be totally right in that moment, and people were.
The more history you learn though, you more you realize this is not only a hubrisy thing, it’s also futile as how we feel about the proliferation of technology has never had an impact on that technology’s proliferation.
And, to be clear, I’m not saying no humans will work or have anything to do – I’m saying significantly MORE humans will have nothing to do. Sure you still need all kinds of people even if the robots design and build themselves mostly, but it would be an order of magnitude less than the people needed otherwise.
Maybe I’m pessimistic but all I see is every call center representative disappearing and that’ll be it
I agree that AI is just a tool, and it excels in areas where an algorithmic approach can yield good results. A human still has to give it the goal and the parameters.
What’s fascinating about AI, though, is how far we can push the algorithmic approach in the real world. Fighter pilots will say that a machine can never replace a highly-trained human pilot, and it is true that humans do some things better right now. However, AI opens up new tactics. For example, it is virtually certain that AI-controlled drone swarms will become a favored tactic in many circumstances where we currently use human pilots. We still need a human in the loop to set the goal and the parameters. However, even much of that may become automated and abstracted as humans come to rely on AI for target search and acquisition. The pace of battle will also accelerate and the electronic warfare environment will become more saturated, meaning that we will probably also have to turn over a significant amount of decision-making to semi-autonomous AI that humans do not directly control at all times.
In other words, I think that the line between dumb tool and autonomous machine is very blurry, but the trend is toward more autonomous AI combined with robotics. In the car design example you give, I think that eventually AI will be able to design a better car on its own using an algorithmic approach. Once it can test 4 million hood ornament variations, it can also model body aerodynamics, fuel efficiency, and any other trait that we tell it is desirable. A sufficiently powerful AI will be able to take those initial parameters and automate the process of optimizing them until it eventually spits out an objectively better design. Yes, a human is in the loop initially to design the experiment and provide parameters, but AI uses the output of each experiment to train itself and automate the design of the next experiment, and the next, ad infinitum. Right now we are in the very early stages of AI, and each AI experiment is discrete. We still have to check its output to make sure it is sensible and combine it with other output or tools to yield useable results. We are the mind guiding our discrete AI tools. But over a few more decades, a slow transition to more autonomy is inevitable.
A few decades ago, if you had asked which tasks an AI would NOT be able to perform well in the future, the answers almost certainly would have been human creative endeavors like writing, painting, and music. And yet, those are the very areas where AI is making incredible progress. Already, AI can draw better, write better, and compose better music than the vast, vast majority of people, and we are just at the beginning of this revolution.