Hello listeners, it is Tom here. I hope you are well. Now, I'm here because I thought I would

recommend you another podcast. I think you'll love this one. It's called System Shift, and it's all

about the change we can expect to see in our lifetime. I'm about to play you a short clip from the

episode about AI. You'll find out what AI truly is and how it can affect elections,

which is particularly relevant given the current news cycle. Give it a listen and if you enjoy it,

search for System Shift, that's all one word, in your favourite podcast app to listen to the

whole episode. We'll also leave you a little cheeky link in the episode description.

People attach AI to so many things today where it's not the right term to use. Could you explain

a little bit the difference between a normal computer program and what AI is? Yes, so artificial

intelligence and even machine learning models are making a prediction.

And these are probabilistic predictions.

So when we think of, let's say, a machine learning model, these are very sophisticated

statistical predictions.

So for someone like myself, I was a statistician by background, the way these models work

is not particularly

magical. It's just mathematically dense. And the same holds true for generative AI models,

neural networks, other kinds of AI models. They just get more and more and more mathematically

complex, which also makes them more and more fragile. So a traditional software, let's say a computer program,

just relies on input output.

So you give it some sort of input,

and then you can predict with basically 100% certainty what the output will be.

If it deviates from that, then there is something wrong with the model.

...