It's the same principle. Give the podcast text to ChatGPT in chunks, ask it to classify using Dewey decimal system, pull out guests and mentioned books, and summarise the episode.
It's funny that user nl posits that 'We are months away from being able to do this with images too' - we were indeed months away! End of September, to be precise https://openai.com/blog/chatgpt-can-now-see-hear-and-speak
https://rei.comhttps://www.rei.com/product/207125/asolo-eldo-gv-approach-shoes-mens>How accurate are the results? What about hallucination?
>Kadoa validates the data accuracy through multiple steps, ensuring reliable and accurate data extraction. For example, we verify that the extracted data truly exists on the source. Kadoa tries to strike a balance between limiting noise (precision) and including all valid parts (recall). While being robust, it also operates efficiently, processing millions of data records in production.
Kadoa is an AI-powered no-code platform that allows anyone to build complex data workflows effortlessly. We use AI to navigate, understand, and transform unstructured data from any source. The orchestrating AI agent chooses the best strategy for each task, such as where to go, what to extract, and how to format the data. We do this at scale and"
I especially liked the "We do this at scale and" (verbatim) bit.
/ Trusted by
Probably no-one.
/ Why Kadoa
Because founders need to eat, too!
/ Popular use cases
There aren't any, because this isn't actually an established business but a GPT-4 wrapper that didn't exist months ago.
I experience your take thus as quite cynical and missing the bigger picture.