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1. c_cran+(OP)[view] [source] 2023-07-07 13:55:55
>This is based on the assumption that when we have access to super intelligent engineer AI's, we will be able to construct robots that are significantly more capable than robots that are available today and that can, if remote controlled by the AI, repeair and build each other.

Big assumption. There's the even bigger assumption that these ultra complex robots would make the costs of construction go down instead of up, as if you could make them in any spare part factory in Guangzhou. It's telling how ignorant AI doomsday people are of things like robotics and material sciences.

>But, and I suppose this is similar to I Robot, if you control the software you may have some way to take control of a fleet of robots, just like Tesla could do with their cars even today.

Both Teslas and military robots are designed with limited autonomy. Tesla cars can only drive themselves on limited battery power. Military robots like drones are designed to act on their own when deployed, needing to be refueled and repaired after returning to base. A fully autonomous military robot, in addition to being a long way away, also would raise eyebrows by generals for not being as easy to control. The military values tools that are entirely controllable before any minor gains in efficiency.

replies(1): >>trasht+5y7
2. trasht+5y7[view] [source] 2023-07-10 01:11:21
>>c_cran+(OP)
> It's telling how ignorant AI doomsday people are of things like robotics and material sciences.

35 years ago, when I was a teenager, I remember having discussions with a couple of pilots, where one was a hobbyist pilot and engineer the other a former fighter pilot turned airline pilot.

Both claimed that computers would never be able pilot planes. The engineer gave a particularily bad (I thought) reason, claiming that turbulent air was mathematically chaotic, so a computer would never be able to fully calculate the exact airflow around the wings, and would therefore, not be able to fly the plane.

My objection at the time, was that the computer would not have to do exact calculations of the air flow. In the worst case, they would need to do whatever calculations humans were doing. More likely though, their ability to do many types of calculations more quickly than humans, would make them able to fly relatively well even before AGI became available.

A couple of decades later, drones flying fully autonomously was quite common.

My reasoning when it comes to robots contructing robots is based on the same idea. If biological robots, such as humans, can reproduce themselves relatively cheaply, robots will at some point be able to do the same.

At the latest, that would be when nanotech catches up to biological cells in terms of economy and efficiency. Before that time, though, I expect they will be able to make copies of themselves using our traditional manufacturing workflows.

Once they are able to do that, they can increase their manufacturing capacity exponentially for as long as needed, provided access to raw materials are met.

I would be VERY surprised if this doesn't become possible within 50 years of AGI coming online.

Both Teslas and military robots are designed with limited autonomy.

For a tesla to be able to drive without even a human in the car, is only a software update away. The same is the case for drones "loyal wingmen" any aircraft designed to be optionally manned.

Even if their current software currently requires a human in the killchain, that's a requirement that can be removed by a simple software change.

While fuel supply creates a dependency on humans today, that part, may change radically over the next 50 years, at least if my assumptions above about the economy of robots in general are correct.

replies(1): >>c_cran+kue
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3. c_cran+kue[view] [source] [discussion] 2023-07-11 21:33:28
>>trasht+5y7
>At the latest, that would be when nanotech catches up to biological cells in terms of economy and efficiency. Before that time, though, I expect they will be able to make copies of themselves using our traditional manufacturing workflows.

Consider that biological cells are essentially nanotechnology, and consider the tradeoffs a cell has to make in order to survive in the natural world.

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