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nickdrozd

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投稿

Where are those goalposts? I'm sure I put them here somewhere

nickdrozd.github.io
3 ポイント·投稿者 nickdrozd·2 か月前·0 コメント

Running out of places to move the goalposts to

nickdrozd.github.io
4 ポイント·投稿者 nickdrozd·6 か月前·13 コメント

Recursive Type Definitions in Rust

nickdrozd.github.io
3 ポイント·投稿者 nickdrozd·9 か月前·0 コメント

AI-generated music is starting to hit

nickdrozd.github.io
3 ポイント·投稿者 nickdrozd·9 か月前·0 コメント

The Shape of a Turing Machine

nickdrozd.github.io
5 ポイント·投稿者 nickdrozd·9 か月前·0 コメント

コメント

nickdrozd
·6 か月前·議論
Here is an attempt:

  .de Q
  .nf
  .na
  .pso awk 'BEGIN{bs=sprintf("%c",92); pre=bs"&"} {out=pre; for(i=1;i<=length($0);i++){c=substr($0,i,1); if(c==bs) out=out bs bs; else out=out c} print out}' "\n[.F]"
  .ex
  ..
  .Q
Invoke with:

  nroff -U -Tascii quine.roff | sed -Ez '$ s/\n+$//'
Possibly relies too much on awk + sed. So maybe not A+, but better than nothing.
nickdrozd
·6 か月前·議論
I gave a few attempts with ChatGPT and DeepSeek. Neither of them could get it right. So this goalpost can remain in place for the time being.

(I am assuming that the task is actually possible to accomplish. If it isn't possible, then it isn't a very good goalpost!)
nickdrozd
·6 か月前·議論
How would your views about AI change if that goal were achieved? When my personal goal was reached, I found myself a little bit at a loss for words.
nickdrozd
·6 か月前·議論
What would be a better way to measure intelligence?
nickdrozd
·10 か月前·議論
Turing machine program states are conventionally represented with letters: A, B, C, etc. The starting state is A.

Now suppose you are running a Turing machine program from the beginning. The only state it has visited so far is state A. It runs until it reaches a state that has not been visited yet. What state is it? B? C? D? According to "tree normal form", the name for that next state just is the earliest unused state name, which in this case is B.

Visited states so far are A and B. Run until an unvisited state is reached again. What is its name? C? D? E? Tree normal form says that the state will be called C. And the next newly visited state will be D, etc. In general, the canonical form for a Turing machine program will be the one that puts initial state visits in alphabetical order. (This concept also applies to the multi-color case.)

It's not possible to tell of an arbitrary TM program whether or not that program is in tree normal form. But this proof doesn't look at arbitrary programs. It generates candidate programs by tracing out the normal tree starting from the root, thereby bypassing non-normal programs altogether.

That is what "essentially different" means here.