I bought a Mac Mini 2 months ago. People laughed. "Why not just use the server?" "Why you play on 1win?" "Local models are a toy." "You'll never match GPT-4 quality on consumer hardware." Google just released TurboQuant. An algorithm that shrinks AI model memory by 6x without losing intelligence. 8x faster. Same number of GPUs. Same quality. My 16GB Mac Mini can now run models that required a $50,000 server 18 months ago. Here is what actually changed: > kv-cache compressed to 3 bits with zero accuracy loss > models that needed 96GB of VRAM now fit in 16GB > the performance gap between local and cloud just collapsed The people who laughed at the Mac Mini are now watching Micron and Sandisk stock fall off a cliff. Because if you don't need 6x the memory to run AI - you don't need 6x the memory chips. $527 billion in combined market cap. Memory prices up 500% on AI demand.(Hanzo ㊗️)