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>Yes it can write SQL but does it understand the index strategy on the destination table or the consequences of running thousands of those queries a minute in a
by aurareturn 2y ago
>Yes it can write SQL but does it understand the index strategy on the destination table or the consequences of running thousands of those queries a minute in a production database? No.
It does if you instruct it well enough.
We're still really early and companies are figuring out how to best use it. It's been 1 year since GPT4 was released. We didn't invent the lightbulb, electric motor, telephone, radio, refrigerators etc. until many years after the invention of electricity.
Right now, LLMs are very useful for many tasks. Over time, they'll continue to get more useful and inventions will be built on top of them.
- cjk2 2y agoNone of those things were commoditised in even a 20 year span. Many more things died. Effectively everyone is running on faith. That’s not good enough.
- aurareturn 2y agoBut electricity didn't die. Many products built on top of electricity died. I don't think AI is running on faith in 2024. I think it's running on very realistic projections and what is available now. I have the exact opposite view of you. I actually think the AI hype is not overblown. I think it's "underblown". I think we have a very straight forward path in the next few years for AI to be useful everywhere.
- lomase 2y agoIt does if you instruct it well enough with a maybe 100k in GPU time and a team of data scientist who have expertise in the domain. The other option you have is to hire somebody who can write a SELECT with a JOIN in SQL.