Worth looking at both the quoted text here and •especially• the linked page, which is quite good.
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@Linza @inthehands Miyazaki was born to make that movie, and it is a cosmic injustice of the highest order if he doesn't get to do it.
@datarama @Linza
My own position on this is that the book is perfect, and should not be adapted.I'm pretty sure Miyazaki understands this — and if he •were• making an adaptation, it would be because he's actually writing a dramatically different story that is largely new material and profoundly different in its scope and arc, as he did with both Kiki and Howl.
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@datarama @Linza
My own position on this is that the book is perfect, and should not be adapted.I'm pretty sure Miyazaki understands this — and if he •were• making an adaptation, it would be because he's actually writing a dramatically different story that is largely new material and profoundly different in its scope and arc, as he did with both Kiki and Howl.
@inthehands @Linza Hence, "interpretation".
That is kinda the thing he does.(BTW, I seem to recall him mentioning that it is his favourite book.)
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@inthehands i've noticed a trend in anecdotes recently where people are finding it harder to trace their novel-seeming LLM outputs back to inputs. i wonder if this is a result of them atomizing their inputs more finely, or being "better" at swapping the tokens around to make output look original. (an AI bro might argue that at some point human creativity is doing the same thing…)
@joe
Yeah, people were having that same argument about humans and creativity on the more academic side of my circles back in 2023. It would be an interesting one if it didn't have all this investment money weighing it down! (Human learning, both technical and artistic, almost always starts with imitation and repetition; clearly it's a building block of this messy constellation of things that we call “intelligence.”)I do think the models are getting better at atomizing, as you put it, and I'm disappointed that there's not more research on this family of reverse-mapping problems. One question I've wondered about: can we quantify how much the output depended on a given input? e.g. how would the probability of given output have changed if the model were trained without <pattern> in its training data?
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I'm as anti-"AI" as they come, but this is a much stronger argument against these systems being intelligent, or about to achieve a breakthrough, than it is against the claim that they are useful. The ability even to quickly retrieve a known right answer needle from a haystack of less useful answers (as opposed to coming up with a new right answer from first principles) would potentially be a valuable service, if it were reliable (and less inefficient, ecologically suicidal, etc.).
@bifouba
The would “right” is doing a bit too much work in that sentence, though. Remove it and replace “less useful” with “other,” and I agree. -
RE: https://unstable.systems/@jneen/116618931097778342
Worth looking at both the quoted text here and •especially• the linked page, which is quite good.
I’ll add another item of my own. The first screenshot mentions giving an LLM the task of “implementing an HTTP server in JavaScript from scratch” in 90 minutes. Sounds impressive, right? Until you remember that every open-source Javascript HTTP server in existence ••was in the training data••.
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"HTML parsers in Portland" is another great example
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@inthehands @Linza Hence, "interpretation".
That is kinda the thing he does.(BTW, I seem to recall him mentioning that it is his favourite book.)
@inthehands @Linza Fun fact: Have you ever wondered why the landscapes and architecture in Kiki's Delivery Service look so Scandinavian?
Miyazaki had visited Astrid Lindgren in Sweden, to ask for her permission to do an animated interpretation of Pippi Långstrump. She declined, but Miyazaki spent some time touristing around, photographing and sketching things he saw. He then ended up using that in Kiki.
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IT WAS IN THE TRAINING DATA. Your test gave the machine a pile of correct answers and free license to plagiarize.
I remember people being wowed that Claude Code could implement a complete C compiler. But somehow it doesn’t sound quite as impressive when you phrase it as “given every existing C compiler as input, the LLM can produce a C compiler as output.”
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@inthehands I wonder sometimes if a project or vendor will ever go to the trouble of doing something completely ethical, like creating a new programming language with a corresponding model that only has been fed correct training data that they've provided.
It would be interesting if someone did that specifically for non-programmers to make it easier for people to one-off programs for their own use.
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@inthehands @Linza Fun fact: Have you ever wondered why the landscapes and architecture in Kiki's Delivery Service look so Scandinavian?
Miyazaki had visited Astrid Lindgren in Sweden, to ask for her permission to do an animated interpretation of Pippi Långstrump. She declined, but Miyazaki spent some time touristing around, photographing and sketching things he saw. He then ended up using that in Kiki.
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@bifouba
The would “right” is doing a bit too much work in that sentence, though. Remove it and replace “less useful” with “other,” and I agree.Fair enough!
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@inthehands @Linza I mean, I've actually recognized some of the places in real life - I saw the film before I visited Visby.
(His son did get to do a Lindgren interpretation: Ronja Rövardotter. But I haven't seen it, so I don't know if it's any good. I did read the book as a kid.)
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@datarama
I know just enough French to have read Le Petit Prince in the original language (with some struggle), and…it really is beautiful in French in a way that translations don't capture. “On ne voit bien qu'avec le coeur” can translate into English quite directly as “One does not see well but with the heart,” but it just doesn't have the same poetry and magic at all.@inthehands @datarama No, but if it's a good translation there *should* be other parts in English that are better than the original French. As a translator you can't always capture a particular phrase beautifully, but you can average the beauty over the whole text.
The same applies to humour. Some jokes don't translate but you'll spot an opportunity to get one in elsewhere that wouldn't work in the source language.
Needless to say, machines don't bother doing this.
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IT WAS IN THE TRAINING DATA. Your test gave the machine a pile of correct answers and free license to plagiarize.
I remember people being wowed that Claude Code could implement a complete C compiler. But somehow it doesn’t sound quite as impressive when you phrase it as “given every existing C compiler as input, the LLM can produce a C compiler as output.”
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The real world measurements of CCC were very bad: https://harshanu.space/en/tech/ccc-vs-gcc/
One of the SQLite benchmarks had a
158,129x slowdown
If you read the blog post in detail:
https://www.anthropic.com/engineering/building-c-compiler
you will see that they could not longer add new features w/o breaking old features. So effectively it was a dead end long before it could become useful in any real world contexts.
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