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Comment by WhiteNoiz3 | Hacker News Reader

When I read the headline I thought this would take a few rows of your CSV file and generate the schema from that using AI. Seems like you still need to manually describe the columns.

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Yes, we have a workflow for your usecase.YoBulk can create a template or schema by uploading a CSV.We read some lines and create the schema.Right now we have not added AI for that.This flow is very handy for the usecase like when you want to upload a CSV file to hubspot or linkedin and want to do the data cleaning according to hubspot and linkedin defined template.People can use upload linkedin or hubspot template CSV to YoBulk and create a template.Now they can validate their CSV data against the YoBulk template before uploading to hubspot and linkedin portal.

This is a trivial problem you can solve in a hundred lines in any programming language, you don't need AI.

It's also something you can do manually with a few admin people, or perhaps using a COBOL script. Innovation means we'll have different ways of doing the same thing.

> Innovation means we'll have different ways of doing the same thing.

No, innovation means a better way, not a different way.

There's no innovation in doing a job that a script can do just fine in a few milliseconds on a GameBoy color, with an AI that needs hundreds of GPUs costing a grand a pop and will take a minute to return an approximate answer.

This is probably true (and I agree in this case it would be better for a tool like this). What I like about the idea of LLMs is that you won't need to write a couple hundred line program to parse something, you can just describe what you want. And I don't need to wait for someone to write a tool exactly suited for my usecase.

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