Interesting. I was wondering how it would work at all with such a thin atmosphere. The author could chill out a bit though.
squiblet
Yeah! With my Micorsoft Wintendo
I'm still confused about when there was ever a helicopter vs. just a rover
“or make a bad decision” is hilarious. Like say, insist that the company spend 4 years developing a bizarrely impractical truck that Elton himself said they “dug their own grave” with?
Musk said, adding that he's "not looking for additional economics; I just want to be an effective steward of powerful technology."
Oh yes, we all believe this techno Jesus crap at this point. Right.
It’s sad how certain people automatically believe it when someone says something like that
I agree that while it’s powerful and the capabilities are novel, it’s more limited than many think. Some people believe current “ai” systems/models can do just anything, like legal briefs or entire working programs in any language.The truth and accuracy flaws necessitate some serious rethinking. There are, like your above example, major flaws when you try to do something like simple arithmetic, since the system is not really thinking about it.
That’s a matter of working on the prompt interpreter.
For what I was saying, there’s no assumption: models trained on more data and more specific data can definitely do the usual information summary tasks more accurately. This is already being used to create specialized models for legal, programming and accounting.
A terminal is a physical device like a VT100. When people refer to a terminal today it's almost always a terminal emulator running on a TTY, ssh on a PTY, a login shell or a GUI program.
It's already happening that average people can use systems that are crippled and constrained, and government agencies or corporations are able to access models that don't tell you "I'm sorry Dave, I'm afraid I can't do that"
It's all about the models and training, though. People thinking ChatGPT 3.5/4 can write their legal papers get tripped up because it confabulates ('hallucinates') when it isn't thoroughly trained on a subject. If you fed every legal case for the past 150 years into a model, it would be very effective.
Yandex has a large office in Amsterdam. Not sure where its all served from but they have offices in 12 countries.