Skip to main content

In the age of GenAI, why do we still need good models?

Jean-Philippe Bouchaud says models can guide artificial intelligence through regime shifts and away from overfitting

Human hand interacting with a digital interface, visualising elements of AI

My last column was a plea for good models – models that improve our understanding of what is really going on behind the scenes and help us build a faithful intuition of the underlying phenomena. Their purpose is not merely to mimic reality, but to make it intelligible. 

But proponents of generative artificial intelligence (GenAI) challenge this view. Since models are – or at least should be – based

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact info@risk.net to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

Want to know what’s included in our free membership? Click here

Show password
Hide password

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here