Ian Mulvany

December 9, 2022

what will be hard and what will be easy with AI

The recent release of ChatGPT is all I am reading about, and I'm having a lot of fun playing with it too. 

It's shifting the goalposts on what is hard for an AI, so it seems like a good point to link to this post - https://clivethompson.medium.com/when-robots-attack-83102761c6d5 which talks about Moravec's Paradox - it's easy to make machines exhibit adult performance on intelligence tests or complex games, but almost impossible to get them to have the skills of a one year old when it comes to perception and mobility. 

This issue of perception is still a constraint on ChatGPT. 

This question of what is easy and what is hard is related to clock problems vs cloud problems - https://onetroy.org/blog-collection/2018/6/19/clocks-and-clouds-emergent-issues-require-emergent-thinking (Ben Sauer brought this to my attention on Twitter). 

- Ian 

About Ian Mulvany

Hi, I'm Ian - I work on academic publishing systems. You can find out more about me at mulvany.net. I'm always interested in engaging with folk on these topics, if you have made your way here don't hesitate to reach out if there is anything you want to share, discuss, or ask for help with!