Using AI with generalistic models to do very specific things like generating code can cause problems. Producing code with AI is like using code from someone else who you don’t know which may not match your standards and quality. Creating specialised or dedicated models can be a way out.

Luise Freese and Iona Varga spoke about practical dilemmas regarding AI models and ethics at NDC Oslo 2023.

Artificial intelligence hints towards a sense of actual intelligence, while in practice it’s actually the representation of how these models are built that is giving it its name, Varga mentioned. By connecting nodes, we hope to mimic the neurons and synapses in the brain, and since this resembles the network in our brain, we call it artificial networks or intelligence, she said.

Freese added that taking an abstract look, computers rely solely on transistors, in a configuration where they are either on or off. By making combinations of these, you can manipulate bits. Transistors don’t entangle with each other; they are simply a bunch of switches leading to an outcome:

Computers therefore do not think, however, it is in our AI algorithms that we give them personality traits like being polite and saying things like “let me think about that”. AI is just using stat