> Nah, I've been waiting for this since Adobe released Content Aware Fill over a decade ago.
If you were expecting Photoshop, an image manipulator, to produce a website, which is a mixture of HTML (text) and images, on the basis of a combination of a prompt and an example image… then you were more disconnected from the state of AI research at that time than you're accusing me of being now.
> We are destroying the biosphere quickly. Have you seen a reef lately? Globally we still rely on our biosphere for food. We haven't solved this problem. If we can't feed everyone it's not inhabitable.
There are many known solutions, both to the destruction and the pollution, and indeed to feeding people in closed systems. All we have to do for any of these is… implement them.
>> lots of people out there get benefits from the things that cause all the various kinds of pollution
> Hence we need lots of breakthroughs to replace these old technologies, whether they be fishing or cancer treatments.
The "breakthroughs" are in the past, we've already got them — we just need to do them.
>> AI can easily follow the scientific method,
> It can't interact with the world so it can't perform science.
Can too, so you're wrong. In fact, most science these days involves tools that are controlled by computers, so it would be less wrong (but still a bit wrong) to say that humans can't do science.
> Boston Dynamics has teams of human beings making robots, which are largely preprogrammed.
> Making stuff in real life is really hard even with humans.
Most of the problems with manufacturing these days are specifically the human part of it. Computer memory used to be hand-knitted, we don't do that for modern computers and for good reason.
> We are so far away from needing to worry about this sort of AI safety. I mean, we haven't solved robotic fabric handling yet, it's why we still have sweatshops sewing our clothes.
Simultaneously irrelevant (lots of research doesn't involve fabric handling), and false.
So incredibly and wildly false that when I searched for examples, I got a page of sponsored adverts for different fabric handling robots before the content.
Here's the first non-sponsored search result, a corporate video from a year ago, so unlikely to be state-of-the-art today: https://www.youtube.com/watch?v=2JjUnKpsJRM (They're specifically about re-shoring sewing away from sweatshops).
> All we have to do for any of these is… implement them.
An idea isn't a solution. I don't know what you are even talking about. Until we are actually solving these problems in a substantial way we have nothing but hope, we don't know that anything will pan out.
> Can too.
There is no 100% automated lab. Tools being controlled by a computer doesn't mean they are loaded, prepared and most importantly maintained by humans. And Science requires different types of labs, I just watched a documentary about the making of the new Malaria vaccine, and how challenging it was to produce the ~cup of vaccine needed for clinical trials vs producing enough for validation was fascinating.
> Irrelevant
no it's not. We are so far from 100% automation of anything. Some human being has to install and maintain literally everything in every factory. Nobody is making self maintaining bots, much less ones that can do everything.
> So incredibly and wildly false
Comparing human seamstresses to even the latest crop of Robotic fabric handlers(that haven't seen mass market penetration best I can tell, so are still unproven in my book) is like comparing OSMO to a construction worker. It's not false. That video, which I watched with interest, is not convincing at all, having seen more traditional jeans making places.
> Most of the problems with manufacturing these days are specifically the human part of it.
If you were expecting Photoshop, an image manipulator, to produce a website, which is a mixture of HTML (text) and images, on the basis of a combination of a prompt and an example image… then you were more disconnected from the state of AI research at that time than you're accusing me of being now.
> We are destroying the biosphere quickly. Have you seen a reef lately? Globally we still rely on our biosphere for food. We haven't solved this problem. If we can't feed everyone it's not inhabitable.
There are many known solutions, both to the destruction and the pollution, and indeed to feeding people in closed systems. All we have to do for any of these is… implement them.
>> lots of people out there get benefits from the things that cause all the various kinds of pollution
> Hence we need lots of breakthroughs to replace these old technologies, whether they be fishing or cancer treatments.
The "breakthroughs" are in the past, we've already got them — we just need to do them.
>> AI can easily follow the scientific method,
> It can't interact with the world so it can't perform science.
Can too, so you're wrong. In fact, most science these days involves tools that are controlled by computers, so it would be less wrong (but still a bit wrong) to say that humans can't do science.
> Boston Dynamics has teams of human beings making robots, which are largely preprogrammed.
Irrelevant.
Also, do actually follow that link I gave you before: https://github.com/GT-RIPL/Awesome-LLM-Robotics
> Making stuff in real life is really hard even with humans.
Most of the problems with manufacturing these days are specifically the human part of it. Computer memory used to be hand-knitted, we don't do that for modern computers and for good reason.
> We are so far away from needing to worry about this sort of AI safety. I mean, we haven't solved robotic fabric handling yet, it's why we still have sweatshops sewing our clothes.
Simultaneously irrelevant (lots of research doesn't involve fabric handling), and false.
So incredibly and wildly false that when I searched for examples, I got a page of sponsored adverts for different fabric handling robots before the content.
Here's the first non-sponsored search result, a corporate video from a year ago, so unlikely to be state-of-the-art today: https://www.youtube.com/watch?v=2JjUnKpsJRM (They're specifically about re-shoring sewing away from sweatshops).