Comment by mempko

Comment by mempko 21 hours ago

This is really cool! I always believed one valuable use case for AI is to take unstructured data and structure it.

I am building ThetaEdge (https://thetaedge.ai) which is in Beta now. We built a similar feature but specific to investing and markets. You get notified when certain market things you care about happen like 'Alert me when nvidia releases a new product' or 'tell me when a 20 delta call for Apple is more than $1'.

The challenge of building something like this is consistency and accuracy which is important in finance.

Awesome to see a clean focused product like YesNotice with a very clear utility.

IncreasePosts 20 hours ago

I agree about the importance of that use case, but how do you confirm that the AI doesn't modify the data in some unwarranted manner during the process?

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mempko 20 hours ago

Great question! Don't use AI to process the data, especially when a computer can do the work :-). AI is good at taking unstructured data and structuring it. Computers are great at computing.
Here is an example of Google's AI failing
https://www.google.com/search?q=is+2026+next+year
Google screenshot: https://imgur.com/a/FOT4aDF
ChatGPT also fails: https://imgur.com/a/mb3rRgZ
and here is the ThetaEdge result: https://imgur.com/a/ZAZZgiR

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- IncreasePosts 18 hours ago
  
  Sure - I guess what I was asking is how to make sure everything is okay in the unstructured -> structured conversion.
  "My name is John and I'm 40 years old" -> {name:"John", age:40}
  How can you gain confidence that the AI doesn't spit out {name:"John", age:41}
  The only thing I do currently is have a massive test suite to gain some statistical confidence it works, but I worry about situations like a person having a rare unicode character in their name (not to even speak of people intentionally trying to trick the system)
  
  Reply View | 1 reply
  
  mempko 16 hours ago
  
  Don't have the AI do the data parsing. Have the AI write a parser and have the parser do the parsing. Think about how a person would parse vasts amounts of data. They write a parser to do it. Devil is of course in the details.
  
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