Aaron J Snoswell on model collapse

"The prospects of catastrophic model collapse might be overstated. 

"Most research so far looks at cases where synthetic data replaces human data. In practice, human and AI data are likely to accumulate in parallel, which reduces the likelihood of collapse.

"The most likely future scenario will also see an ecosystem of somewhat diverse generative AI platforms being used to create and publish content, rather than one monolithic model. This also increases robustness against collapse.

"It's a good reason for regulators to promote healthy competition by limiting monopolies in the AI sector, and to fund public interest technology development."