Given the current trend of companies developing increasingly large language models, with the goal of creating a single model that can do it all and surpass human-level performance, it is worth considering an alternative future scenario. In this scenario, models are micro-sized and highly specialized, capable of performing only a few specific tasks.

These micro-models are independent and can run on CPUs, with a high degree of automation that allows them to identify problems and dynamically combine with other micro-models to complete larger tasks.

This approach would allow for the creation of flexible model ensembles that can be easily disassembled into their constituent micro-models."