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But if it knows everything, it knows nothing. You cannot discern a lie from the truth. It’ll spit something out and it may seem true, but is it really?
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Your friend tells you about his new job:
He sits at a computer and a bunch of nonsense symbols are shown on the screen. He has to guess which symbol comes next. At first he was really bad at it, but over time he started noticing patterns; the symbol that looks like 2 x’s connected together is usually followed by the symbol that looks like a staff.
Once he started guessing accurately on a regular basis they started having him guess more symbols that follow. Now he’s got the hang of it and they no longer tell him if he’s right or not. He has no idea why, it’s just the job they have him.
He shows you his work one day and you tell him those symbols are Chinese. He looks at you like you’re an idiot and says “nah man, it’s just nonsense. It does follow a pattern though: this one is next.”
That is what LLM are doing.
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Because language learning models don’t actually understand what is truth or what is real, they just know how humans usually string words together so they can conjure plausible readable text. If your training data contains falsehoods, it will learn to write them.
To get something that would benefit from knowing both sides, we’d need to first create a proper agi, artificial general intelligence, with the ability to actually think.
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Only if your private messages are not e2e.
it’ll get broken one day
for now its being stored
Sure they will store everything till it’s cost effective to crack the encryption, on everything some randoms send each other.
Intelligence will do that for high profile targets, possibly unsuccessfully.
Nah i bet you they’ll be able to crack everything easily enough one day. And they can use an llm to process the information for sentiment and pick out any discourse they deem problematic, without having to manually go through all that data. We’re already at the point where the only guaranteed safe information storage is in your mind or on an airgapped physical media
‘Bet’ all you want, you are still wrong.
Sorting vast amounts of data is already an issue for intel agencies that theoretically llms could solve. However decrypting is magnitudes harder and more expensive. You can’t use llms to decide which data to keep for decrypting since… you don’t have language data for the llms to process. You will have to use tools working on metadata (sender and receiver, method used etc).
There’s also no reason for intelligence services to train AI on your decrypted messages, it won’t help them decrypt other messages faster, in fact it will take away resources from decryption.
Before you get downvoted, here’s a wiki page backing you up.
https://en.m.wikipedia.org/wiki/Harvest_now,_decrypt_later