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130 points whobre | 3 comments | | HN request time: 0.205s | source
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johnnienaked ◴[] No.44641827[source]
Writing isn't necessarily thinking. For example you can have a spreadsheet of 20 000 words and use an algorithm to randomly pick a sequence of words. No one would call that thinking, even if such a process made intelligible sentences sometimes.

"AI" is using an algorithm and statistics in the same way---it's just more accurate at making intelligible sentences than the example above. I wouldn't call either thinking, would you?

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1. adamtaylor_13 ◴[] No.44641884[source]
That’s not at all the point the author is making. The point is people don’t read. Now we don’t even write. At least what USED to be written had to cost a human time, something relatively precious.

Now we can churn out text at rates unprecedented and the original problem, no one reading, is left untouched.

The author wonders what happens when the weird lossy gap in-between these processes gets worse.

There’s lots of evidence that writing helps formulate good thinking. Interestingly, CoT reasoning mirrors this even if the underlying mechanisms differ. So while I wouldn’t call this thinking, I also don’t think reducing LLM output to mere algorithmic output exactly captures what’s happening either.

EDIT: previous != precious.

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2. zahlman ◴[] No.44642279[source]
I liked Tris' take on it: editing is thinking.

https://www.youtube.com/watch?v=sqm4-B07LsE

3. johnnienaked ◴[] No.44642699[source]
>Now we can churn out text at rates unprecedented and the original problem, no one reading, is left untouched.

I think you miss my point a bit.

Any text that can be churned out at unprecedented rates likely isn't worth reading (or writing, or looking at, or listening to), and anyone consuming this stuff already isn't doing much thinking.

You can lead a horse etc etc