Who cares if apps aren’t optimized for the iPhone Duo 😭😭like no duh the phone just came out.
THATS NOT EVEN APPLES FAULT THATS THE DEVS RESPONSIBILITY. WHY ARE U GUYS FLAMING APPLE
Genuinely who cares like it’s not a big deal🤦♂️🤦♂️🤦♂️🤦♂️
FuentesFunMan retweeted
over and over and over and over #backrooms
FuentesFunMan retweeted
it takes like half a second of thought to understand how Bad of an idea this is
FuentesFunMan retweeted
Replying to @MichaelDoesLife
$70 for a game that plays itself is something new
FuentesFunMan retweeted
John Ternus is the first big tech leader in a while that feels very human and not like a traditional overly media trained / overly polished hyper-professional CEO. Refreshing.
FuentesFunMan retweeted
Discussing Film
The foldable iPhone will release on October 23.
Pricing starts at $1999.
FuentesFunMan retweeted
i like how j. k. simmons nailed this character so hard back in 2002 that every single other actor that interpreted it from that point onwards decided to go for an impression of him
FuentesFunMan retweeted
Pause that. Now zoom in. Enhance.
Two of us filmed this on a couple phones, and we used Atlas to turn it into a short film. This is just a clip from the @theworldlabs tech blog
Atlas is able to generate the parts of the scene that none of the cameras actually filmed.
It can freeze time, allowing you to reframe shots to positions never filmed, then resume.
View events from impossible angles because Atlas knows what was there.
FuentesFunMan retweeted
I don't know if you really understand what these people just did...
They built an AI that looks at a few casual real-world videos or photos and instantly turns them into a full 3D playground.
You can MOVE THE CAMERA HOWEVER YOU WANT, change the lighting, move objects around, and even let physics play out like in the real world.
View events from impossible angles because Atlas knows what was there.
This is massive!
Let's take robotics. Until now training robots meant collecting tons of expensive real-world data. Now a handful of recordings can become thousands of different simulated situations.
Robots can practice the same task in new rooms, with different objects and lighting without anyone having to film it all again.
For the industry it means we can train robots way faster and cheaper. Home robots, warehouse robots, whatever... they can learn new environments at scale instead of staying stuck in the lab.
This is one of the first real bridges between “cool AI video models” and actual physical machines that have to work in the real world.
Blog: worldlabs.ai/blog/atlas
The team behind @theworldlabs: @drfeifei, @jcjohnss, @BenMildenhall and @YunzhuLiYZ. The video is from @davidpantera_.
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