AI is not magic¶
Biologogy is much more magical than anything in a computer.
There is still a lot about biology that we do not know and biological systems are a part of the natural world, that we study through science formally and that we learn informally about through senses during our lived experiences. AI is a part of a computer, it is designed so, at some level every bit of it is known, if not all well understood.
Generative AI is not automation¶
Machines can automate things, in general, we expect automated processes to be highly reliable. Generative AI is designed to generate text based on a pattern that starts with a prompt.
Automation can save a lot of time, but inserting a generative model in the middle may insert randomness into processes that do not need any.
Generative AI is not deterministic¶
It will not give the same response to a given prompt every time
Generative AI is not good at math¶
Fundamentally, an LLM cannot do any actual calculations, unless it is an agent than can operate a tool (like a calculator). They sometimes provide and can be strategically prompted to give the right answer and special training procedures have shown progress in this.
Generative AI is not search¶
Traditional, strict search algorithms