Earlier quoted context omitted.
No wonder Anthropic isn't working well! The "Moby Dicked" explanation of the state of AI! But seriously, Why must someone search even a significant part of the public Internet to develop an AI? Is it believed that missing some text will cripple the AI? Isn't there some sort of "law of diminishing returns" where, once some percentage of coverage is reached, further scraping is not cost-effective?
On the contrary, AI training techniques require gigantic amounts of data to do anything, and there is no upper limit whatsoever - the more relevant data you have to train on, the better your model will be, period. In fact, the biggest thing that is making it unlikely that LLM scaling will continue is that the current LLMs have already been trained on virtually every piece of human text we have access to today. So, wi…
There was a hot minute in 2023 where it looked like we could just data and compute scale to the moon. Shockingly, it turns out there are limits to that approach.