However, history is poised to repeat itself with a similar outcome of chaos and disillusionment. The misguided belief that language models can replace the human workforce will yield hilarious yet unfortunate results.

Even if AI can’t be much better than what has already been demonstrated, which I don’t think is the case but let’s consider it, there are already quite a few jobs which can be at least partially automated and that can already change the world by so much, even if only by having permanent unemployment at above 10-20% for every country, or by the bourgeoisie accepting to reduce worked hours to only a few so the system doesn’t collapse.

New robots are also using LLMs both for understanding their enviroment with cameras, rather than complicated sensors that might not understand the world as we do, and for controlling movement by basically taking in the data from the robot and what other LLMs understand from the enviroment and predicting what inputs are needed to move correctly for movement or doing any tasks.

As the LLMs get better they can also come up with better strategies too, which is already being used to some extent to have them create, test and fix codes based on output and error messages and this should soon allow fully autonomous robots as well that can think by themselves and interact with the world leading to many advancements, like full automation of work and scientific discoveries.

I was using Llama 3 8B offline and Command R 104B on HuggingChat with a system prompt to always take a Marxist-Leninist/materialist point of view and it does work quite well. You might need to play around with the wording you use when prompting but it can do a lot.

Llama 3 8B was trying to do it even for some physics stuff I was doing so I guess I either need a better system prompt or it’s the kind of things that a bigger/smarter model might deal with better. lol

SORA still appeared to be a little better but without proper access to them is hard to be sure. Either way it’s nice to see some competition rising up to help move things along.

Hopefully with Llama 3 there is some more competition in the LLM field as well.

Does anyone have the data for the market of machines that make chips too?

LLMs would probably be best used in systems, like multiple LLMs and normal programs each with their strenghs covering the other’s weaknesses. And perhaps having programs, or even other LLMs that shut it off if anything goes wrong.

Something weird happened to a robot?

The brain or part of it (as there can be multiple LLMs toghether each trained to do one or a few things only) or a more powerful LLM overseeing many robots identifies that and stop it, waiting for a better LLM offsite or a human to say something.

I mean, if the thing happening is so weird that there is no data about it available then perhaps not even a human would be able to deal well with it, meaning that an LLM doesn’t need to be perfect to be very useful.

Even if the robots had problems and would bug out causing a lot of damage we could still take a lot of people away from work and let the robots to do it if the robots can work and make enough to replenish their own losses by themselves. And with time any problem should be fixable anyway, so we might as well try.

They are trying good uses too, like using LLMs in robotics and cars (for both movement and planning), but the chats are just more visible for now, with understanble reasons.

Actually the biggest problem with (humanoid) robots is and always has been power. Batteries only last so long and take up space and add weight.

Kinda. If the robots are good enough that they can do all sorts of tasks with a humanoid robot it wouldn’t be hard to make them switch their own batteries, which isn’t very different of humans and their need to eat and such, or the can just plug themselves to be powered up when needed.

Indeed that might not be very convenient or the most efficient but it could be done by robots alone without human input. As the tech needed for these robots means that industrial robots, many of which can be plugged in all the time, could also produce much more and cheaper, leading to the possibility of simply having many batteries cheaply. Not the best solution but it is a solution.

It’s not the CPU.

It is the CPU to some extent, but recently software has been biggest part of it and one that is being improved a lot recently.

We’ve always been able to make robots that can perform certain tasks and with enough effort you can make robots that can perform many tasks.

The robots in industry so far were mostly just a complex machine doing a simple task. They couldn’t try to improve themselves or do anything beyond their programming. For example, a machine taking a part in an assembly line and putting it somewhere else can only really take something if it is where it expects it to be (to the mm) when it expects it to be there. With newer but no so new tech they might be able to recognize a QR like symbol on it and and reorient themselves but they can’t do anything other than what they have been programmed to do.

But the newer robots with newer AIs will soon be able to do anything a human can. For example, if you ask one to clean the house and the neighboorhood they don’t just goes around the floor vaccuing while perhaps missing some parts, they could see that becoming a doctor and buying more robots to clean everything is a solution and they will think about it. That’s the level of difference in task making here.

The biggest problem with robots for a long time has been the brain, but now with LLMs, and other things, being good enough to fully control robots, even if using multiple specialized AIs, the tendency is that more and more will be invested in this direction.

Yes the first generations of robots might be slow and have problems, but that will be used to train the newer AIs for both embodied tasks and also for fully in-computer based tasks, meaning that by the time they can finally be produced cheaply and in mass they will be ready for many jobs.

This may also soon lead to less humanoid designs, like robots with multiple arms and no legs, leading to both generalist and specialized robots that can work very fast to take all manual labor jobs with ease in decades or less. Hopefully the people in the capitalist countries can manage to organize to work for changing the system into one where the people can benefit from the full automation that is to come.

The new average of global robot density in the manufacturing industry surged to 141 robots per 10,000 employees – more than double the number six years ago.

The following is a very basic calculation with many assumptions, of course, but if it continues doubling in six years as stated that would be less than 40 years for full automation. And that’s before taking into account more focus on making robots as they get better or robots getting better to the point they can make more robots faster and cheaper by themselves.

More than likely transporting enough nuclear materials to power a moon base would be exorbitantly expensive and dangerous.

From my calculations you would need at most a few hundred kilograms per year for such a reactor, perhaps even less than 100kg/year if they can use higher enrichment than normal.

At that weight they might be able to carry it in a manned craft to avoid it blowing up and being spread all over the place since manned crafts have a lot of safety features, including an ejection system to launch the people (and the uranium in this hypothetical case) safely away from an exploding rocket.

If you’re planning on building a reactor on the moon, it’s probably to probe the possibility of utilizing helium3 to create a fusion reactor.

A fission reactor and a fusion reactor are completely different things but you would need power to turn a fusion reactor and that could come from a fission one.

Which would help cut down on the need for liquid coolant.

As far as I know a lot, if not the vast majority, of the coolant you need is for sending the unusable heat away and that is basically the same between all turbine using power plants (from coal to nuclear), unless the fusion reactor doesn’t need it.

I mean they do have easy access to an endless vacuum they can radiate heat to.

Radiating it to the vaccum is a lot harder than transfering the heat through heat exchangers from the inside water to outside water so being in a vacuum without rivers to use for cooling is much harder to get rid of heat than on Earth. They would probalby need pipes going deep underground or running across the surface with hot water to be cooled by the ground, which would need to slowly radiate it to space requiring a lot of piping if you produce a lot of power, before the water inside the pipes cool enough to be usable to cool the reactor again.

And not having much of it.

The only question I have is how much of it is what you would expect from capitalists trying to squeeze the proletariat and how much is due to AI advancements reducing available jobs…