this post was submitted on 09 Apr 2026
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Science Memes

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Welcome to c/science_memes @ Mander.xyz!

A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.



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If you are here asking: "Is this a science meme?"

Probably, yes. We use the Dawkins definition of meme: a replicating idea, not just an image macro with a fact on it. A good post here doesn't need to teach you something. It needs to make you ask something: who, what, where, when, and especially why or how.

Science isn't a filing cabinet of facts, it's a conversation. For example, a photo of an eel or other localized wildlife counts because most people never see one, and wonder is the first step of inquiry. A car meme counts if it makes you curious about what's under the bonnet. If you want to talk about something you noticed in the world, chances are someone else wants to talk about it too.

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See the pinned paper on Shitposting as Public Pedagogy if you want the academic case for why this works.



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[–] lvxferre@mander.xyz 3 points 3 months ago

[Replying to myself as this is a tangent]

I think the "bots can generate misinfo even if you just feed them correct info" point deserves its own example.

Let's say you're making a model. It looks at the preceding word, and tries to predict the next. And you feed it the following sentences, both true:

1. Humans are apes.
2. Cats are felines.

From both the bot "learnt" five words. And also how to connect them; for example "are" can be followed by either "apes" and "felines", both having the same weight. Then, as you ask the bot to generate sentences, it generates the following:

3. Humans are felines.
4. Cats are apes.

And you got bullshit!

What large models do is a way more complex version of the above, looking at way more than just the immediately preceding word, but it's still the same in spirit.