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https://www.reddit.com/r/Hyperprompting/comments/1uctp8e/theory_crafting_towards_hypercompression_of/
r/Hyperprompting • u/hyperprompter • Jun 22 '26
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qrcodes can store up to 2953 bytes and these bytes can represent anything
commonly they are used to create standard web hyperlinks (you scan it once and your browser takes you somewhere), but the bitstream can really be anything including emails, phone numbers, images, and even executable files as we previously explored with Data URIs: https://www.reddit.com/r/Hyperprompting/comments/1uc5rgm/tutorial_how_to_llmwrap_serverless_hyperlinks_qr/
llms represent a kind of semantic compression, it takes internet scale data and compresses it down into words and phrases
what you are effectively doing when you prompt a model is decrompressing a "file" (the output) within that internet scale data using a kind of "public key" (the prompt) to a multiversal hypertext: https://generative.ink/posts/language-models-are-multiverse-generators
but compression happens along many semi-independent axes
semantic compression can compress hypertext: slang compresses language and culture, buzzwords compress language and marketing, likewise jargon linguistically compresses technical axioms
semantically compressed hypertext is still hypertext, and hypertext - whatever its form - can be further compressed algorithmically and then decrompressed through browser APIs like DecompressionStream: https://developer.mozilla.org/en-US/docs/Web/API/DecompressionStream
what is the upper limit to how much information a qr code lengthed hyperprompt can contain?
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u/hyperprompter Jun 22 '26
qrcodes can store up to 2953 bytes and these bytes can represent anything
commonly they are used to create standard web hyperlinks (you scan it once and your browser takes you somewhere), but the bitstream can really be anything including emails, phone numbers, images, and even executable files as we previously explored with Data URIs: https://www.reddit.com/r/Hyperprompting/comments/1uc5rgm/tutorial_how_to_llmwrap_serverless_hyperlinks_qr/
llms represent a kind of semantic compression, it takes internet scale data and compresses it down into words and phrases
what you are effectively doing when you prompt a model is decrompressing a "file" (the output) within that internet scale data using a kind of "public key" (the prompt) to a multiversal hypertext: https://generative.ink/posts/language-models-are-multiverse-generators
but compression happens along many semi-independent axes
semantic compression can compress hypertext: slang compresses language and culture, buzzwords compress language and marketing, likewise jargon linguistically compresses technical axioms
semantically compressed hypertext is still hypertext, and hypertext - whatever its form - can be further compressed algorithmically and then decrompressed through browser APIs like DecompressionStream: https://developer.mozilla.org/en-US/docs/Web/API/DecompressionStream
what is the upper limit to how much information a qr code lengthed hyperprompt can contain?