Created: 2023-04-14 09:08
To properly understand what is possible in the field of computing, for example with Artificial Intelligence and Machine Learning, we have to answer fundamental questions.
- Can computers think? If not, can we, at least, write programs that simulate thinking? What would be the difference?
- What is thinking? Is it about the process or the output?
- What is learning?
- What is a machine? Is it a program or a decision?
Some take a God of gaps approach to the definition of thinking and express it as what a machine cannot do. The problem with this definition is it shrinks as computers become more and more capable.
Machines are meant to augment human intellect, rather than looking to AI as a competitor we should find ways to work together. Can can a human and a machine (ie. an AI) achieve together? What are humans good at and what are machines good and and how can then complement each other?
One of the main fields of research in AI is games. The goal of applying ML/AI to games was to figure out how humans think. There’s a very nuance process going on in the mind of a chess grand master that we don’t fully comprehend just yet. However somewhere along the way the target was lost and it became about winning against humans.
See Twitter thread