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Thesis: Interesting work is less amenable to the use of AI

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Re: Thesis: Interesting work is less amenable to the use of AI

#4

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Curious to see examples of interesting non-boilerplate work that is now possible with AI. Most examples of what I've seen are a repeat of what has been done many times (i.e. probably occurs many times in the training data), but with a small tweak, or for different applications.

And I don't mean cutting-edge research like funsearch discovering new algorithm implementations, but more like what the typical coder can now do with off-the-shelf LLM+ offerings.

Re: Thesis: Interesting work is less amenable to the use of AI

#5
The vast majority of any interesting project is boilerplate. There's a small kernel of interesting 'business logic'/novel algorithm/whatever buried in a sea of CRUD: user account creation, subscription management, password resets, sending emails, whatever.

Re: Thesis: Interesting work is less amenable to the use of AI

#6

The vast majority of any interesting project is boilerplate. There's a small kernel of interesting 'business logic'/novel algorithm/whatever buried in a sea of CRUD: user account creation, subscription management, password resets, sending emails, whatever.

This depends entirely on the type of programming you do. If all you build is CRUD apps then sure. Personally I’ve never actually made any of those things — with or without AI

Re: Thesis: Interesting work is less amenable to the use of AI

#7

The vast majority of any interesting project is boilerplate. There's a small kernel of interesting 'business logic'/novel algorithm/whatever buried in a sea of CRUD: user account creation, subscription management, password resets, sending emails, whatever.

Most places I worked the setting up of that kind of boilerplate was done a long time ago. Yes it needs maintaining and extending. But rarely building from the ground up.

Re: Thesis: Interesting work is less amenable to the use of AI

#8
There's a hundred ways to use AI for any given work. For example if you are doing interesting work and aren't using AI-assisted research tools (e.g., OpenAI Deep Research) then you are missing out on making the work that more interesting by understanding the context and history of the subject or adjacent subjects.

This thesis only makes sense if the work is somehow interesting and you also have no desire to extend, expand, or enrich the work. That's not a plausible position.

Re: Thesis: Interesting work is less amenable to the use of AI

#10
I don't have LLM/AI write or generate any code or document for me. Partly because the quality is not good enough, and partly I worry about copyright/licensing/academic rigor, partly because I worry about losing my own edge.

But I do use LLM/AI, as a rubber duck that talks back, as a google on steroids - but one who needs his work double checked. And as domain discovery tool when quickly trying to get a grasp of a new area.

Its just another tool in the toolbox for me. But the toolbox is like a box of chocolates - you never know what you are going to get.

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