If you're working on quantum computing resistant cryptography, have you also considered time travel resistant cryptography? Or infinite energy availability resistance? Why stop with that first imaginary technology?
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I'm being unfair. I welcome "what-if" research as it yields some interesting results regardless of the non-existence of QC, but going ahead and implementing it right now is snake oil.
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Replying to @jhripley
This is a weird tweet since quantum computing clearly exists, and the other technologies do not
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Replying to @Pinboard
Quantum Computing exists in the same way Artificial Intelligence exists.
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Replying to @jhripley
There's a clunky thing with whatever number of qubits that works as advertised. I find the hype annoying, too, but there seems no reason that basic research into quantum-resistant cryptographic methods shoud be considered pie in the sky
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Replying to @Pinboard
Research, sure, but actively moving people towards QC-resistant crypto *now* is utter snake oil. No current QC tech even approaches being useful for anything vs standard methods, and we could be decades from even crossing that point, let alone practical crypto breaks.
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I liken QC to AI, because they now exist due to enormous amounts of VC applied to shifting the goalposts away from what people used to call QC and AI.
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Replying to @jhripley
I guess the big distinction in my eyes is that the recent work in QC is at least on the pathway to "real QC" that we can all kind of agree on, while AI means nine different things, and has gone off on a tangent from the study of cognition with opaque big data techniques
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Also the theoretical foundation for QC is sound and fairly well-understood, while we have no theoretical foundation for general AI, or even any consensus on what the questions should be. That said, I agree that VC turn everyhing into hype
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Replying to @Pinboard
This is another example of your observation about the lack of innovation in the last 10 years. "AI" is not in a boom — all that's happened is that in the presence of infinite money, people discovered it was profitable to rebrand machine learning as AI.
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There was a genuine advance around 2012, when it became clear how effective the well-studied techniques could be if you just threw sufficient data at them. I don't know if that qualifies as innovation. It's certainly new, but not because the ideas were new, just the scale
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