Cloud-based LLM gold rush is ending

# Summary Apple's announcement of on-device AI processing at WWDC signals the end of the cloud-based LLM gold rush, as the company shifts toward local processing for routine tasks while reserving cloud systems for advanced work. The author argues that LLMs are fundamentally probabilistic tools best suited for human-amplification tasks like accelerating learning and democratizing software development, rather than replacing deterministic systems for critical operations like data entry or transaction processing. This practical pivot away from AGI hype toward specialized, efficient AI use cases suggests the industry may be reconsidering how LLMs deliver real value.