The author gives two reasons why AI won't replace the need for metadata: 1: LLMs "routinely get stuff wrong" 2: "pricy GPU time" 1: I make a lot of tests on how well LLMs get categorization and data extraction right or wrong for my Product Chart ( https://www.productchart.com ) project. And they get pretty hard stuff right 99% of the time already. This will only improve. 2: Loading the frontpage of Reddit takes hundr…
GPU compute price is dropping fast and will continue to do so.
Yes, things are getting better per unit (GPUs get more efficient, better yet AI-optimised chipsets are an order more efficient than using GPUs, etc.) but are they getting better per unit of compute faster than the number of compute units being used is increasing ATM?