The scaling law only states that more resources yield lower training loss (https://en.wikipedia.org/wiki/Neural_scaling_law). So for an LLM I guess training loss means its ability to predict the next token.
So maybe the real question is: is next token prediction all you need for intelligence?
The scaling law only states that more resources yield lower training loss (https://en.wikipedia.org/wiki/Neural_scaling_law). So for an LLM I guess training loss means its ability to predict the next token.
So maybe the real question is: is next token prediction all you need for intelligence?