Does an increase in parameters better an AI model’s performance? John Blankenbaker offers his thoughts in this Tech Target article.

John explains the correlation between parameters and performance, “Making models larger does seem to allow them to reproduce their training outputs more faithfully, so some measures of performance will improve, he said. But the correlation of parameters and intelligence is clouded by a lot of wishful thinking, he added.”

He elaborates saying, “These models are tuned to sound like they know what they are talking about without actually knowing anything about the world. I do not believe that any ’emergent’ properties, such as consciousness, have appeared or are likely to appear, although there seem to be plenty of people who seem to be saying, ‘Just wait until we have 10 times as many parameters.'”

Read the full article here.