umgefahren

Idk that doesn’t sound so dubious to me. ∅ might be more approachable for the PHDs then set() ;)

Regarding MLX:

In the repo is a metal port they made, that’s at least something… I guess they didn’t want to cooperate with Apple before the launch but I am sure it will be there tomorrow.

There is a great 3blue1brown video, but it’s pretty much impossible by now to cover the entire landscape of research. I bet gpt-oss has some great explanations though ;)

In general yes, you can (and do) shard the model over multiple GPUs. If you want to do that yourself look at DeepSpeed or FSDP . There is a communication overhead though and the speed at which the GPUs can communicate is key. Thats where NVLink comes in btw. So yes, it’s actually what you can and do do. However this limits your ability to iterate on the models quickly and from what I‘ve read a lot of times the foundational labs throw out their models because by the time they are done training they are already outdated.

Yes it actually is. I was in the closed beta and all friends that got the message where either suspicious of it, annoyed or didn’t react.

I think there is little to none that can be done, unless a lot of people use it and then it becomes somewhat annoying because you’d have to answer those things all the time.

I think the best application would be Secret Santa. It’s a cool idea though and the app is really pretty.