Let’s build our own LLM to save API costs

Twitter user spidey tweets May 25 “api costs are too high, lets create our own LLM Twitter user Pablo Antonio quote replies with: “My car consumes too much gas, let’s start an offshore oil driling company

Additional comments:

The tech industry often treats massive infrastructure challenges as trivial weekend projects. When faced with rising API expenses, the immediate instinct for many developers is to bypass the middleman by building an entirely new large language model. This reaction perfectly mirrors the absurdity of starting an offshore oil drilling company simply because your daily commute requires too much gasoline. Both scenarios highlight a fundamental misunderstanding of scale, resource allocation, and long term operational costs. While it is certainly possible to develop custom machine learning solutions, the complexity and maintenance requirements of training an LLM far exceed the minor inconvenience of paying for an existing API. True optimization requires a careful analysis of genuine business needs rather than overcompensating with massive, unnecessary technical infrastructure. Efficiency should be the ultimate goal of every engineering team, but building an entire industry from scratch is rarely the most logical path to profitability.