Deepseek-v4.1 local vs
Astra-6 vs Fable-5.1 Same prompt. Three islands. Then I turned on the hurricane. 🌴🌀 Left → right: • DeepSeek 4.1 Local: 39.8 KB • Astra: 699.1 KB • Fable: 39.1 KB Astra embeds ~670 KB of Three.js; the others load it externally. File size ≠
Building a 2TB RAM local cluster destroys cloud dependency for heavyweight inference.
Traditional cloud setups cost $15,000/mo and leak proprietary data to third-party endpoints. Stack: 4x Mac units unified into a 2TB RAM cluster EXO running MLX RDMA for cross-device tensor
BOMBSHELL ON GITHUB Someone created a repo on GitHub that lets you run Claude Code completely for free.
It redirects your Claude Code traffic to 10 free providers like DeepSeek and Kimi, takes 5 minutes to set it up, and already has over 20,000 developers running it.
Someone had Astra read the DeepSeek v4.1 Flash paper and compare it to the original Transformer architecture in 3D.
You can zoom in and inspect each piece side by side. Things have changed a LOT.
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