Comment by sumedh
13 days ago
> The problem is that it doesn't have context
You are supposed to give it context, if you dont provide it context how will it know what its supposed to do?
13 days ago
> The problem is that it doesn't have context
You are supposed to give it context, if you dont provide it context how will it know what its supposed to do?
I really wish that was the case. You can give it only so much context before it starts to go down a path where the context doesn't even make sense to it, and yet if you explained it to a colleague they would instantly understand.
Context has layers and really 1st or 2nd layers ever get reached by AI but it can't dive further because it is too focused on the final output rather than the continuation of the output.
For example you write code and then tell it what the final expect output is, it some how always divorces itself from rudimentary implementations and poops out something that cut a lot holes out or shortcuts all of your work. Removes modularity in favor of that immediate outcome. AI is just not good enough to understand the complex relationship of maintainable code and deliverable code. So it poops out what is easily made to meet the deliverable.