According to YouTube educator Alex Finn, GLM 5.2, a large language model, can be run locally on personal hardware. Finn demonstrates the setup and compares the model's performance to Claude Opus. While local inference eliminates cloud API costs, it requires significant GPU investment and technical expertise. Finn's breakdown covers hardware requirements, installation, and the trade-offs between local and cloud-based AI—increasingly relevant as open-source models become more capable.

Listen to this story

Hear this and more stories in a personalized audio briefing.

Open The Chonkerton