Cloud AI Is the Worst
Argues that per-use metering destroys AI’s value by making users ration their own curiosity and experimentation, and calls for fixed-cost hardware and cheap, owned compute instead of cloud pay-per-use.
Argues that per-use metering destroys AI’s value by making users ration their own curiosity and experimentation, and calls for fixed-cost hardware and cheap, owned compute instead of cloud pay-per-use.
Argues that businesses should prefer open models over closed APIs, weighing refusals, outages, terms-of-service changes, and data harvesting against benchmarks, and calls for self-hosting, fine-tuning, and control of runtime parameters.