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08:45
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Q: How could I upload a video of my solution to the forum

Athanasios Paraskevopoulosa = 1; c = 0.5; f[r_] := a^2 - r^2 g[r_] := 0 x0[m_] := N[BesselJZero[0, m]] k[m_] := x0[m]/a \[Omega][m_] := c*k[m] A[m_] := (2 \!\( \*SubsuperscriptBox[\(\[Integral]\), \(0\), \(a\)]\(r* BesselJ[0, k[m]*r]\ *f[r] \[DifferentialD]r\)\))/( a^2*BesselJ[1, x0[m]]^2) B[m_] := (2 \!\( \*Subsuper...

 
2 hours later…
10:56
@Feeds Oooh, this one's exciting. I am a lot more interested in LLMs coming to Mathematica than I was about all the blockchain stuff. If 14 has a chatgpt powered natural language interface I will definitely upgrade.
I've build some integrations between ChatGPT and my other programming tools and I am absolutely faster at my job (and having more fun) because of it - having similar things in Mathematica would be amazing.
 
6 hours later…
17:22
@CarlLange If 14 has a chatgpt powered natural language interface I will definitely upgrade. Great. That is all what we need. Then Mathematica will becomes like Wolfram alpha where people ask it to solve equations using plain English commands via chatGPT instead of using exact Mathematica command. What a mess this will be :) Can't wait to be able to program in Mathematica using "Please solve this ode for me y''+3 sin t -e(t) equals zero". We will need a chatGPT tag also :)
18:10
@Nasser at that point we'll just declare ChatGPT-based questions off topic I figure, same as W|A. You can use W|A directly from Mathematica, but we still don't accept those
 
2 hours later…
20:08
@Nasser Yes - (un)fortunately I'm fairly sure that's what all programming-specific forums will become in the next couple of years as ChatGPT functionality gets integrated into different environments. I am a mediocre lisp programmer but I've been able to write thousands of lines of lisp with ChatGPT. However I've kept any mistakes to myself and not bothered SO about it - others will be less scrupulous, I'm sure :)
@b3m2a1 I think it will become fairly hard to distinguish some of these questions, though - it's definitely hard to determine whether code has been generated by ChatGPT or by a human for certain languages and environments. At the minute I think WL doesn't have this problem because ChatGPT doesn't have quite enough training data, but with an effort from Wolfram we're definitely going to get there.
I agree though, questions like "How can I generate this code with ChatGPT' or "how do I solve this equation in natural language" will want to be off-topic. The harder part is what happens when people ask ChatGPT to write code to do X and then don't understand what's wrong in the resulting code, and how to help those people beyond RTFM

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