I Tried Running AI Locally... And So Should You

Local AI refers to running large language models directly on your own computer rather than through cloud services, offering benefits like enhanced privacy (data stays on your device), offline functionality, unlimited usage without per-token costs, and the ability to customize and integrate with other projects. However, local AI requires significant hardware resources including RAM, storage, and ideally a dedicated GPU, with smaller models being easier to run but less capable than larger models. While local AI is valuable for experimentation, privacy-conscious users, and building hardware projects, it is not a replacement for cloud-based AI in terms of intelligence and speed. For beginners, starting with smaller models is recommended, and the technology is particularly worthwhile for those interested in engineering, robotics, and building projects that interact with the real world.