Mostly agree. They should make v1 have trends but the idea of something built like us is needed because then less alterations have to be made and it can fit with what's already around.
If you have a warehouse that uses ladders for some things easier to have a bot that can already handle that then something that needs further installation and such
It is a mine field. The fact that it can generate almost an exact copy of some things if it's over trained on an image or if the stars hit just right
On a different not llm is Large Language Model not the image generator
I think most are focusing on the computer reading the brain. Input from a computer probably scares most people who deal with it all. A Dream in terms of what could be done but also a nightmare, "my interface is hacked and unless I give my pass codes over for my bank I can't see or hear normally"
What a fabulous upstanding person. Should have him adopt more kids, surly that would be the best thing
(I hope the /s is not needed but it's here)
Why I throw my phone browser into desktop mode. Can be annoying but it works most the time
Probably different models for different sets. The set I work with are purely wifi. They have a light on them to blink is the only extra thing they do
IR on them does sound stupid though, in a store environment that can be blocked rather easily
No they are wifi controlled
A bit of the selling point for the chromebooks is that it can run a lot of stuff from the playstore. Why called it a cousin.
While posible, don't forget about the pixel series, Google dipped into hardware. So at least for a good bit they are going to stay the course. Chromebooks are a cousin of android and is something I bet they have support contracts via education for years to come.
Though it's Google so it's posible
They were working on it for patches and such. Plus they are probably starting the "next big thing" and having your dev team leave kinda hurts that xp
It kinda understands context.
An image generator makes an image of static similar to like a TV does with bad signal. The Ai looks atthe static and sees shapes in it. The prompt influences what it's trying to "see". It starts filling in the static to a full image, it does this in steps, more steps generally means a better quality image.
Also to say a LLM is a Large Language Model and is different from an image generator, though the proccess for them is very similar.
I don't understand the corlation between hateing pedestrians (fully agree) and the self driving car