Manufacturers have been using robots for many decades now. What's new?
As for the humanoid portion, what percentage of that are they? 0.01% for beta testing perhaps?
At some point it might reach diminishing returns
That's where we are at. When you're adding in exponentially more money and electricity for linear improvements in the product the returns are diminishing.
And if you want to talk about actual dollar returns, there are no profits except for those selling chips. But every so often they come out with another "just wait 6-12 months, we're replacing most of your jobs". Believing the boy who cried wolf is just silly. These are companies who still can't make a profit saying this to stay relevant.
Manufacturers were using robots that only did specific procedures in controlled environments. Now they're using robots with AI that make their own decisions and can work with each other or humans and perform more complex or delicate tasks.
I think the huge amounts of money for energy are mainly to service billions of users. The actual technology itself doesn't need that many resources for a single user. And the resources needed per unit of intelligence or output will go down with more research. And I wouldn't call say 2015-2023 a time of linear improvement in AI capabilities relative to the amount of effort put into AI development. Capabilities exploded without a huge rise in effort.
Believing the boy who cried wolf is just silly
I already said to stop listening to that boy. Why do you insist on going back to him then?
The entire industry is the boy who cried wolf, Elon was just one famous example. We could look at Altman saying "we know how to create AGI", CEOs saying "50% of our workforce will soon be AI" when no such thing happened the last 2 years, the various faked demos by major tech companies (highly misleading / deceptive tech demos), and so on. Elon is merely emblematic of the industry.
Now they're using robots with AI that make their own decisions...
Where, who? And working with humans? All I've seen are some laughable optimus demos, a crappy PR stunt by Boston Dynamics with a humanoid robot moving parts at Hyundai (in a very controlled low stakes area), and Boston Dynamics robots doing backflips. I'm yet to see robots making their own decisions and working with humans in manufacturing.
I think the huge amounts of money for energy are mainly to service billions of users.
If it's not worth the money then don't service those users, simple as that. Meanwhile OpenAI recently admitted they are implementing ads, which just a year prior Sam Altman said would mean they are getting desperate / looking for a last resort.
Like I said, why do you insist on listening to liars? Just ignore them and look at the facts like those I've been talking about.
Where, who? And working with humans?
Amazon - that's who I was talking about. You can watch videos of their Kiva robots routing around each other or bringing items to humans. Still only making less important decisions like how to get from A to B while avoid crashes, but making decisions in a dynamic environment all the same, which is different from say car assembly robots that repeat the exact same action over and over.
Manufacturers have been using robots for many decades now. What's new?
As for the humanoid portion, what percentage of that are they? 0.01% for beta testing perhaps?
That's where we are at. When you're adding in exponentially more money and electricity for linear improvements in the product the returns are diminishing.
And if you want to talk about actual dollar returns, there are no profits except for those selling chips. But every so often they come out with another "just wait 6-12 months, we're replacing most of your jobs". Believing the boy who cried wolf is just silly. These are companies who still can't make a profit saying this to stay relevant.
Manufacturers were using robots that only did specific procedures in controlled environments. Now they're using robots with AI that make their own decisions and can work with each other or humans and perform more complex or delicate tasks.
I think the huge amounts of money for energy are mainly to service billions of users. The actual technology itself doesn't need that many resources for a single user. And the resources needed per unit of intelligence or output will go down with more research. And I wouldn't call say 2015-2023 a time of linear improvement in AI capabilities relative to the amount of effort put into AI development. Capabilities exploded without a huge rise in effort.
I already said to stop listening to that boy. Why do you insist on going back to him then?
The entire industry is the boy who cried wolf, Elon was just one famous example. We could look at Altman saying "we know how to create AGI", CEOs saying "50% of our workforce will soon be AI" when no such thing happened the last 2 years, the various faked demos by major tech companies (highly misleading / deceptive tech demos), and so on. Elon is merely emblematic of the industry.
Where, who? And working with humans? All I've seen are some laughable optimus demos, a crappy PR stunt by Boston Dynamics with a humanoid robot moving parts at Hyundai (in a very controlled low stakes area), and Boston Dynamics robots doing backflips. I'm yet to see robots making their own decisions and working with humans in manufacturing.
If it's not worth the money then don't service those users, simple as that. Meanwhile OpenAI recently admitted they are implementing ads, which just a year prior Sam Altman said would mean they are getting desperate / looking for a last resort.
Like I said, why do you insist on listening to liars? Just ignore them and look at the facts like those I've been talking about.
Amazon - that's who I was talking about. You can watch videos of their Kiva robots routing around each other or bringing items to humans. Still only making less important decisions like how to get from A to B while avoid crashes, but making decisions in a dynamic environment all the same, which is different from say car assembly robots that repeat the exact same action over and over.