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Yeah, the lunar lander was only just able to land on the Moon and then ascend back to the command module. To this day we still don’t have the technology to land something on Mars and then have that same thing ascend from Mars. We only recently mastered controlled descent after the ascent on Earth, now imagine trying to do it the other way around without refueling.

Any current human Mars mission would require sending the ascent vehicle to Mars autonomously with some sort of autonomous construction capability, or something like Starship being capable of doing on Mars what it is supposed to be capable of doing on the Moon soon. Which isn’t very likely, considering Mars is quite literally 100% bigger than the Moon.

When they sent the most recent Rover, they gave it the capability to collect and leave behind samples in sealed containers. The idea being that they would make a mission that would go get them later. It’s been over 10 years since the Mars 2020 mission was given the green light and the sample return mission has recently been all but canceled due to lack of feasibility and funding.

Sending things to space is a lot more expensive than running an LLM model.

The whole space radiation thing is a big problem.

Question is how do we get the toaster to mars

and yet we'll probably have a mecha Hitler toaster before the next man made anything to mars

Oh good more U.K. media to consume. As if Doctor Who, Planet Earth & Mitchell and Webb wasn't enough.

ai is much more suited to

We dont know that; we've never built any.

we dont have robots that are independant, nor do we have actual AI, and not LLMs.

Probes and robots are indeed better for exploring space than people. There might even be multiple uses of machine learning in future space exploration. However, it'll only be used when it is the best option, and not for the sake of it like most "AI" we see today. This is because "AI" is business terminology entirely divorced from the reality of the tech. Machine learning is not genuine intelligence, but a tool for accomplishing goals, and it has very real limitations that make it not useful in all cases.

The main thing that'll hold back machine learning in probes is power, with probes relying on barely over 100 watts plus whatever dozens of watts their solar panels can generate in good conditions. Current machine learning hardware consumes many watts of energy to run advanced models, so whatever model is used needs to be extremely streamlined and efficient. This power limitation is not related to computing, but nuclear technology and the cost to send matter to space, so unless we pull compact portable fusion out of our asses, probes can only be so smart.

Im pretty sure the post meant exactly that

And I believe it has been installed in cyber trucks (aka toaster).

Effectively for that time the wrong system prompt was being used for Grok, probably one that Musk uses to dick around in.

Whether mecha hitler was in the prompt or if it just picked it up I don't know.

musk trying to be edgy probably used his AI devs to program it into the AI itself.

Well, training an LLM and running that trained LLM are two different things. You can run a trained LLM on a home PC, which admittedly is probably still too much for anything that you could put into a toaster before it just becomes a PC with a toaster.