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577 points simonw | 2 comments | | HN request time: 0.421s | source
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AlexeyBrin ◴[] No.44723521[source]
Most likely its training data included countless Space Invaders in various programming languages.
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quantumHazer ◴[] No.44723664[source]
and probably some synthetic data are generated copy of the games already on the dataset?

i have this feeling with LLM's generated react frontend, they all look the same

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bayindirh ◴[] No.44723867[source]
Last time somebody asked for a "premium camera app for iOS", and the model (re)generated Halide.

Models don't emit something they don't know. They remix and rewrite what they know. There's no invention, just recall...

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satvikpendem ◴[] No.44724181[source]
This doesn't make sense thermodynamically because models are far smaller than the training data they purport to hold and recall, so there must be some level of "understanding" going on. Whether that's the same as human understanding is a different matter.
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Eggpants ◴[] No.44726179[source]
It’s a lossy text compression technique. It’s clever applied statistics. Basically an advanced association rules algorithm which has been around for decades but modified to consider order and relative positions.

There is no understanding, regardless of the wants of all the capital investors in this domain.

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simonw ◴[] No.44726653[source]
I don't care if it can "understand" anything, as long as I can use it to achieve useful things.
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Eggpants ◴[] No.44726747[source]
“useful things“ like poorly drawing birds on bikes? ;)

(I have much respect for what you have done and are currently doing, but you did walk right into that one)

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1. msephton ◴[] No.44729114[source]
The pelican on a bicycle is a very useful test.
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2. dfedbeef ◴[] No.44733323[source]
Yeah what if you need a drawing of a pelican on a bicycle