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zjptoday at 12:22 AM5 repliesview on HN

I call these "embarrassingly solved problems". There are plenty of examples of emulators on GitHub, therefore emulators exist in the latent spaces of LLMs. You can have them spit one out whenever you want. It's embarrassingly solved.

There are no examples of what you tried to do.


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AuthAuthtoday at 12:44 AM

Its license washing. The code is great because its already a problem solved by someone else. The AI can spit out the solution with no license and no attribution and somehow its legal. I hope American tech legislation holds that same energy once others start taking American IP and spitting it back out with no license or attribution.

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Aerroontoday at 12:39 PM

>I call these "embarrassingly solved problems".

When LLMs first appeared this was what I thought they were going to be useful for. We have open source software that's given away freely with no strings attached, but actually discovering and using it is hard. LLMs can help with that and I think that's pretty great. Leftpad wouldn't exist in an LLM world. (Or at least problems more complicated than leftpad, but still simple enough that an LLM could help wouldn't.)

Nitiontoday at 12:49 AM

In a way it shows how poorly we have done over the years in general as programmers in making solved problems easily accessible instead of constantly reinventing the wheel. I don't know if AI is coming up with anything really novel (yet) but it's certainly a nice database of solved problems.

I just hope we don't all start relying on current[1] AI so much that we lose the ability to solve novel problems ourselves.

[1] (I say "current" AI because some new paradigm may well surpass us completely, but that's a whole different future to contemplate)

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albert_etoday at 4:16 AM

I tried writing a plain text wordle loop as a python exercise in loops and lists along with my kid.

I saved the blank file as wordle.py to start the coding while explaining ideas.

That was enough context for github copilot to suggest the entire `for` loop body after I just typed "for"

Not much learning by doing happened in that instance.

Before this `for` loop there were just two lines of code hardcoding some words ..that too were heavily autocompleted by copilot including string constants.

``` answer="cigar" guess="cigar" ```

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threethirtytwotoday at 6:37 AM

Stop repeating this trope. It can spit out something you've never built before this is utterly clear and demonstrated and no longer really up for debate.

Claude code has never been built before claude code. Yet all of claude is being built by claude code.

Why are people clinging to these useless trivial examples and using it to degrade AI? Like literally in front of our very eyes it can build things that aren't just "embarrassingly solved"

I'm a SWE. I wish this stuff wasn't real. But it is. I'm not going off hype. I'm going what I do with AI day to day.

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