Scientists have created the world's first nanophotonic electron accelerator, which speeds negatively charged particles with mini laser pulses and is small enough to fit on a coin.
No, it actually and literally is truly random. You’d need to know everything about the hardware itself and the environment around it in incredible detail (incl. the temperature of every individual small patch of material, air flow and the state of air in and around the case) to reliably predict the initial entropy for a given modern system, since tiny changes in e.g. temperature will completely change the input.
It’s only a small bit of entropy, but enough to kick-start the RNG in a way that can reliably create high-quality entropy.
So you’re literally arguing that knowable inputs, however unlikely knowing those inputs might be, run through known deterministic calculations, results in a guaranteed unknowable output?
No, I’m arguing that the inputs aren’t knowable to the required degree in the general case, which defines their entropy, and that entropy isn’t mathematically lost, it’s improved through deterministic calculations.
The same was thought about previous iterations on random number generators. The first I am aware of used an extremely precise time stamp, and ran the calculations on that. On the assumption that no one could possibly know the exact timestamp used. That was obviously untrue, which can be verified by the fact that such systems have been broken before.
Just because you can’t conceive of a way to know the values, does not make them unknowable. It just makes it improbable to happen.
And again, I’m not saying the random numbers we can produce now are currently breakable. But that doesn’t mean that a decade from now, or even a century, they will remain unbroken.
Say I’m restarting my phone, and it uses details like temperature fluctuations in CPU sensors as entropy. How would you know all the required values? Since I’m holding the phone in my hand, the temperature of my hand (and consequently body temperature) are relevant, not to mention the air around my phone. How would you find those values at the exact time the sensors are read?
Yes, because 1) you’d need to know them with incredible precision, and 2) you can’t brute force, because you only have one chance. Otherwise you can also brute force anything that’s “truly random” as you put it.
That’s like asking “say I hit a button at a very specific time, how would you find that exact time?”
That’s the thing, it’s not like that. It’s more like “say I hit a button at a very specific time and roll hundreds of dice, how would I find that exact time and all the results of those dice”.
Apart from the face that there are absolutely no “dice rolls” involved. They are known deterministic calculations. Because in order to add “dice rolls” you would need randomness. You can’t have a non deterministic calculation involved, because that isn’t how computers work.
You’re essentially saying “take a knowable input, add true randomness, output true randomness using nothing but knowable inputs!”
And you absolutely can brute force it. Why would you have a single chance? Because of arbitrary rules?
As for true randomness, you’re getting a range of “extreme low to extreme high” which isn’t currently brute forcible.
My dude, the “dice rolls” are all the small pieces of entropy that you’d have to know the environment to an unknowable degree for. They are conceptually absolutely involved, and if you can’t understand that, we’re done here, because you’re handwaving over the difficult parts in a way that doesn’t make sense.
No, it actually and literally is truly random. You’d need to know everything about the hardware itself and the environment around it in incredible detail (incl. the temperature of every individual small patch of material, air flow and the state of air in and around the case) to reliably predict the initial entropy for a given modern system, since tiny changes in e.g. temperature will completely change the input.
It’s only a small bit of entropy, but enough to kick-start the RNG in a way that can reliably create high-quality entropy.
So you’re literally arguing that knowable inputs, however unlikely knowing those inputs might be, run through known deterministic calculations, results in a guaranteed unknowable output?
No, I’m arguing that the inputs aren’t knowable to the required degree in the general case, which defines their entropy, and that entropy isn’t mathematically lost, it’s improved through deterministic calculations.
The same was thought about previous iterations on random number generators. The first I am aware of used an extremely precise time stamp, and ran the calculations on that. On the assumption that no one could possibly know the exact timestamp used. That was obviously untrue, which can be verified by the fact that such systems have been broken before.
Just because you can’t conceive of a way to know the values, does not make them unknowable. It just makes it improbable to happen.
And again, I’m not saying the random numbers we can produce now are currently breakable. But that doesn’t mean that a decade from now, or even a century, they will remain unbroken.
Say I’m restarting my phone, and it uses details like temperature fluctuations in CPU sensors as entropy. How would you know all the required values? Since I’m holding the phone in my hand, the temperature of my hand (and consequently body temperature) are relevant, not to mention the air around my phone. How would you find those values at the exact time the sensors are read?
You honestly think those values aren’t possible to estimate within a range then brute force?
That’s like asking “say I hit a button at a very specific time, how would you find that exact time?”
Yes, because 1) you’d need to know them with incredible precision, and 2) you can’t brute force, because you only have one chance. Otherwise you can also brute force anything that’s “truly random” as you put it.
That’s the thing, it’s not like that. It’s more like “say I hit a button at a very specific time and roll hundreds of dice, how would I find that exact time and all the results of those dice”.
Apart from the face that there are absolutely no “dice rolls” involved. They are known deterministic calculations. Because in order to add “dice rolls” you would need randomness. You can’t have a non deterministic calculation involved, because that isn’t how computers work.
You’re essentially saying “take a knowable input, add true randomness, output true randomness using nothing but knowable inputs!”
And you absolutely can brute force it. Why would you have a single chance? Because of arbitrary rules?
As for true randomness, you’re getting a range of “extreme low to extreme high” which isn’t currently brute forcible.
My dude, the “dice rolls” are all the small pieces of entropy that you’d have to know the environment to an unknowable degree for. They are conceptually absolutely involved, and if you can’t understand that, we’re done here, because you’re handwaving over the difficult parts in a way that doesn’t make sense.