I stopped using ChatGPT, Claude, and Gemini for every little task, and my local LLM picked up the slack

Paying for AI subscriptions often leads to hitting usage limits, even when users have paid significant amounts. The irony lies in the exorbitant costs of AI subscriptions, yet users can still be locked out of the service. This obstacle prompted a shift away from using major AI platforms like ChatGPT, Claude, and Gemini for minor tasks.

Instead, they began utilizing local LLMs that run directly on their devices. The reliance on AI chatbots has grown to the point where they have begun to replace traditional search engines like Google. Asking AI for assistance with even the smallest tasks has become commonplace, often to the point of absurdity. The environmental impact of running powerful AI models is another concern, as the data centers supporting these models require vast amounts of electricity and cooling resources.

Despite the significant reliance on AI for writing tasks, it's worth questioning whether every little task truly necessitates cloud-based AI. Local LLMs can effectively handle simpler writing-related tasks without the need for powerful cloud-based models. As a student, the author utilizes local LLMs for tasks such as grammar checks and tutoring, finding them sufficient for straightforward definitions, explanations, and examples.

They've also automated simple tasks, such as renaming screenshots with descriptive filenames using a script-based implementation of Gemma 4 running locally on their Mac. While the author would prefer to run local LLMs for more demanding tasks, their current MacBook's limited RAM restricts them to outsourcing minor tasks.