@dtzy_88 These two charlatans are horrible for the space. I've had to mute both as they don't offer anything besides their egos
Theo looks weird and creepy too with his hair touching his eyes and never moves his head when he talks. Like a twink Edward Scissorhands
@theo@maria_rcks
@valigo Of course
Sounds like a problem between Microsoft and openAI
Let me guess, your pea sized brain didn't know they've have a deep partnership for over 7 years? Lol you dumb ass. Anti AI psychosis is affecting your logical thinking
@aquaspbl@valigo All this dude does it point out everyone else's faults and mistakes. Makes fun of anything that's not 100% perfect. His code is just as shit but worse if we put it under a microscope too
@immasiddx > Bought the best house in the state with the best view
> Didn't move in
Same type of energy. People like you are always confused. That domain will be worth a billion in a few years
@Pongtris@VOLGARR There's people now starting to grind everyday on 1 game, no one shots. The next 6-12 months I would be looking out for better AI games from people doing it the right way
@Pongtris@VOLGARR Those are just displays of the capabilities of the models.Theyre just prototypes
It still takes a lot of time after that even if you only prompted building a game with AI. Most people stop after a one shot prompt and more after realizing how much work still needs to get done
@VOLGARR If you can make a game in one year with the same quality (or better) using AI than you could in 2-4 years not using AI than it should not be frowned upon
You're doing the same work just in less time. Same passion and attention to detail as you have the final say in the end
@SamsonCorwell@Neo_Paulinite@SpookyHooga Everyone that's not retarded are using LLMs to code and build stuff like this so you may benefit from the consumer version later
This is why people that use AI properly understand just how important it is
https://t.co/U2ulWB1cIW
Introducing GEN-1.5, a one-shot learner.
It can learn new tasks in a few seconds. Show it what to do, and it generalizes.
This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.