> Data extraction/structuring data is the only serious application of LLMs
I fully agree. I realized this early on when experimenting with GPT-3 for web data extraction. After posting the first prototype on Reddit and HN, we started seeing a lot of demand for automating rule-based web scraping stacks (lots of maintenance, hard to scale). This eventually led to the creation of our startup (https://kadoa.com) focused on automating this "boring and hard" problem.
It comes down to such relatively unexciting use cases where AI adds the most value.
AI won't eliminate our jobs, but it will automate tedious, repetitive work such as web scraping, form filling, and data entry.
I fully agree. I realized this early on when experimenting with GPT-3 for web data extraction. After posting the first prototype on Reddit and HN, we started seeing a lot of demand for automating rule-based web scraping stacks (lots of maintenance, hard to scale). This eventually led to the creation of our startup (https://kadoa.com) focused on automating this "boring and hard" problem.
It comes down to such relatively unexciting use cases where AI adds the most value.
AI won't eliminate our jobs, but it will automate tedious, repetitive work such as web scraping, form filling, and data entry.