nnx

> No LLMs for brainstorming and then sharing the results of that brainstorming, even if you create the prose.

I can understand the no automated AI contribution point of view, but going overboard with the above that is also completely unenforceable makes the policy look dumb.

an iPhone 17 without a screen, with half the storage, without a battery, without FaceID, without cameras, without cellular modem, without Taptic Engine, without…

The only part that “deserves” a price increase is the storage starting at 128GB now instead of 32GB, but it’s completely out of touch to get rid of the base model when nobody has any use for all that storage (even the 32GB) for what is basically a streaming box.

Hell, even their new HomeView device, which does have a screen and FaceID, starts at same price.

The pricing is surprising, Data Produced at $0.04/GB seems reasonable (when compared to other clouds event streams) but Data Consumed being at the same $0.04/GB is rather steep...

This means actual usage is $0.08/GB in the simplest case (one consumer) but fan-out consumer strategies get very expensive very fast.

> Some days, I would seriously rather work at Wendy's.

Narrator: He would not.

is flickering fully fixed yet?

Not saying there's no negative impacts, but what are the _huge_ negative impacts that have materialized so far?

Coincidentally this is how pretraining works :)

Looks really interesting but the Go binding sadly uses cgo. Could the binding be done in pure Go? Or at least purego (the cgo alternative using Go assembly for FFI) ?

I ended up just using the web version, which is actually better than the native app (multiple tabs works!).

> My M5 Pro can generate 130 tok/s (4 streams) on Gemma 4 26B.

This seems high. At which quantization? Using LM Studio or something else?

Note: Darkbloom seems to run everything on Q8 MLX.

The only limit is yourself!