For all the millions of words that have been devoted to the capabilities of LLMs, the economics and ergonomics of these systems seem to me to be under-discussed. In much the same way that technology changes - from records to CDs to streaming - have been a dominant factor in the evolution of popular music, prosaic matters such as cost structures will have a substantial influence on the development and impact of AI. While it is still early days for LLMs, there are already signs that economic factors are impacting everything from product design and technology choice to adoption and even regulation.
Business
As the capabilities of Artificial Intelligence (AI) continue to evolve, the term “chatbot” has become synonymous with a new era of digital interactions. What was once a seemingly futuristic concept is now an integral part of our everyday lives. However, it is the Machine Learning models underlying them - Large Language Models (LLMs) - that are the true powers in these waters.
Businesses are deeply confused about what AI is, and they have every right to be. Differences in terminology have plagued the Data-AI-Software landscape for many years, as anyone who has ever looked for a job as a “Data Scientist” will attest. Attempts to demystify the topic either conjure a series of analogies that are then strained to breaking point, or try to delve into the actual technology behind the hype, leaving everyone more confused than they were before.
I will attempt something different: removing the mystery by embracing the mystery.


