Western AI giants want you to believe that top-tier intelligence requires paying massive monthly subscriptions and burning billions in compute.
But Chinese open-weights models like DeepSeek, Kimi, and GLM are already matching frontier performance for a fraction of the cost. Why
I cannot believe the AI models are actually trading against each other right now
Moon dev: "openai is straight up in the lead and every single one of them is short" "deepseek is getting absolutely crushed and here's the part that makes zero sense"
Local RTX 4080S 32G + modified Qwen3.8-27B-Q4XL
Local RTX 4080S 32G + modified Qwen3.8-27B-Q4XL, driven by pure prompt words copied from DeepSeek Harness online, created a black hole effect in 2 hours, and the effect exceeded expectations. 📊 2 rounds · 90 steps | LLM 125m56s · Tool 1m9s | First token 7.3s · 35 tok/s | Cache hit 97% | Input 12.3M · Output 242K tok…
Goldman Sachs report: Ulanqab has locked 12.5GW of computing power capacity! The end game of AI competition is energy.
Four trump cards: average annual air cooling of 4.3°C, GW-level savings of 500 million, fiber latency of 4.2ms, and DeepSeek layout. The rules have changed, and natural endowments have been repriced by AI! #AI #computing power 🎬 Full version synced to YouTube:
You have reached the end of the archive
All of deepseek