Compared to a helicopter, with a turbine engine and a long blade, this would have a very different noise profile with 4 electric motors each spinning a propeller. Hopefully not as loud? Or at least not at the low, long-traveling "thud thud thud" frequency of a helo?
I would add that while the first generation LLM's were trained on crowdsourced data from the web, as LLM's have more real-world applications they will learn from the data they observe in their own "first-person" experience. Like how Telsa uploads training data from cars using FSD (misnomer that it is).
Yeah it looks like it nearly leveled off about 2010. That's about when I remember 16 GB being a pretty decent / normal configuration.
enjoy
https://science.howstuffworks....
Interestingly Panama is one of them. After getting rid of Noriega they decided having a military was a bigger risk than not. No US military bases, either.
The federal government of the USA is, as well its role in the world, is of course a bit different.
Still useful to show what it's physically capable of. And collect training data I presume.
It is interesting to see the gap between autonomous and teleoperated is still so big. (Not surprising I guess since otherwise the streets would be full of self-driving cars).
https://www.youtube.com/shorts...
(Tesla in this case)
It's interesting that they would start with intentionally inhuman motion for a humanoid robot, but it's a robot, not a nightmare.
Also please nobody bring up the 'uncanny valley.' As an insight it's played out, especially since this isn't a robot that is ever supposed to appear human.
Then again, maybe AI will discover cold fusion and cheap carbon sequestration.
The optimum committee has no members. -- Norman Augustine