The Real Story This Week: Open Source Inference Is Quietly Winning the Hardware War
llama.cpp's relentless cadence of releases (four in days) paired with Ollama's steady updates proves the edge-inference stack is outpacing proprietary closed-loop systems—and Aker's $3.1B pivot away from industrial software *into* AI infrastructure signals that serious capital is finally recognizing inference efficiency beats raw model size. The papers on "cheap evaluation" (QVal) and "metacognitive feedback" matter precisely because they're solving the unglamorous bottleneck: how to actually train and deploy agents at scale without bleeding billions on compute—skip the Luca Guadagnino movie and MKUltra theater, the hardware fight is being won by people shipping better quantization and LoRA workflows. Watch whether AWS's billion-dollar "forward deployed" bet translates to actual adoption acceleration or becomes another legacy tax on enterprises already locked into Nvidia; the open-source momentum suggests it won't.