I would argue, that helped journalism because journalists probably assumed that their readers would hold them to the same standards they hold the writers of the other papers too.
330 karma · joined March 11, 2024
I would argue, that helped journalism because journalists probably assumed that their readers would hold them to the same standards they hold the writers of the other papers too.
Btw when we were working on our project HyveOS, we used Batman-advs routing table to quickly (really really quick) bootstrap new peers into the system.
Ah… sometimes i really miss working on this.
If we include western companies you get the NXP RW612 (https://www.nxp.com/products/wireless-connectivity/wi-fi-plu...) which is dutch.
Edit: Replace blocking with synchronous
I also want to give a shoutout to reqwless (https://github.com/drogue-iot/reqwless) which is a HTTP client for embassy-net that even supports HTTPS!
Rust embedded was really never actually better then C or C++ but embassy for me is a big reason why I now make my buying decision based on how well I can use Rust on the MCU.
I used to be a Neovim purist, spending days on my config and I have barely touched it since I moved to Zed. It's so much nicer to use then VScode (and it's forks) because it's so snappy.
I hope they ship leap.nvim (https://github.com/ggandor/leap.nvim) support soon, then I am completely happy!
I would hope that the Foundation Models (https://developer.apple.com/documentation/foundationmodels) use the neural engine.
That’s true for the on-GPU memory but I think there is some subtlety here. MoE models have slimmed the difference considerably in my opinion, because not all experts might fit into the GPU memory, but with a fast enough bus you can stream them into place when necessary.
But the key difference is the type of memory. While NVIDIA (Gaming) GPUs ship with HBM memory ship for a while now, the DGX Spark and the M4 use LPDDR5X which is the main source for their memory bottleneck. And unified memory chips with HBM memory are definitely possible (GH200, GB200), they are just less power efficient on low/idle load.
NVIDIA Grace sidestep: They actually use both HBM3e (GPU) and LPDDR5X (CPU) for that reason (load characteristics).
The moat of the memory makers is just so underrated…
- https://machinelearning.apple.com/research/neural-engine-tra...
- https://machinelearning.apple.com/research/vision-transforme...
Things have definitely gotten better with MLX on the software side, though it still seems they could do more in that area (let’s see what the M5 Max brings). But even if they made big strides here, it won’t help previous generations, and the main thing limiting Apple Intelligence (in my opinion) will continue to be the 8 GB of unified memory they still insist on.
Since I am playing mostly MSFS 2024 these days I currently use GeForce Now which is fine, but cloud gaming isn’t still quite there yet…