@dhh@Compilethings The trackpad on my Redmi laptop didn't work on first install - is there someone I can ping details? Haven't had much time to play with it all yet, but happy to dig out details and file reports
I almost think DeepSeek time stuff specifically to troll Anthropic and OpenAI... and you know what? I'm here for it 🍿 🍿 (also, we all owe DeepSeek a huge deal)
@oO0Fal0Oo An old friend of mine said we should follow the Sonic 2 (the game) pattern - year one you get fully loaded python (all chaos emeralds) then, it all gets taken from you and you start year two with assembly and have to earn your way back to python. I like it.
Nvidia lets you build a 1TB Local AI cluster out of DGX Sparks.
& Nvidia has a playbook for AI clustering them.
8 × DGX Spark
🧠 128GB each
↓
🔥 1TB unified memory across the cluster
Nvidia now officially supports manually configured clusters of up to 8 x DGX Sparks using their built-in ConnectX-7 networking.
And Nvidia says that 1TB is enough to run frontier-class models like GLM-5.3 locally.
They specifically call out
🧠 larger models
📚 longer contexts
🤖 multiple concurrent agents
👨💻 multiple developers sharing one local backend
⚙️ distributed development
They list models such as
→ GLM-5.3 Flash
→ DeepSeek V4 Flash
→ Qwen3.8 Flash Next
And later this month Nvidia Sync Model Launcher is supposed to make it easier.
Link in ALT
@digitalix I've had a few over the years - the first that was really good was the Xiaomi Mix 4 (Chinese domestic market only) I've recently just swapped it for the Xiaomi 18 Fold - night and day difference.
Liqiang Wang (@shujishcn) got so into Omarchy that he put it on every computer at home—then his Xiaomi Pad and 18 Fold. He even donated $1,024 to Omacom.
An enthusiast who also happens to be Xiaomi XRING VP.
His full SZ meetup talk, EN/中文 subs. @omarchy