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If you only use it as a seed, you will be seeing numbers from the same sequence. If you let it run long enough, you will start seeing the same sequence of numbers.
ОтветитьI like the ending point regarding even distribution of pseudo random numbers which we as humans interpret as random. But technically an infinite sequence of the same number is possible and acceptable as well.
ОтветитьTechnically true random numbers are physically impossible. Hardware that relies on more diverse, real-world input will still give you the same sequence given identical conditions.
Producing a random number out of nothing (no input) is not possible.
I have the only technology on earth that can predict random numbers. Any time series chart. I cant get a single person to care.
ОтветитьWith something as boring as random numbers it's important to make it entertaining, not hard to listen to
ОтветитьIt's a me mario
ОтветитьOne very critical feature in [m]any modelling system[s] meanwhile... So called "Oranges".. I mean "Rings", ooops, I mean RNGs!
A very dear topic to me personally, and a reason for my fascination with applied computing in relation to "ghost in the machine" problems ;)
This is remedial enough to move this channel into my "consider unsubscribing" pile. Why spend 12 minutes repeating things we've all known already for decades?
ОтветитьFor those wondering..The Intel x86 RDRAND instruction he's talking about gets its seed from sampling thermal noise, so it's technically a psuedorandom generator just like everything else.
ОтветитьOf course a quantum machine should be able to generate truly random numbers 🤠
Ответитьyea but if the true random number generator might have a bias we can't check for, and it would be slightly more likley to output 3141579 than any other other number and we put it as a seed then whatever number is generated by the seed 3141579 would still be more likley to be drawn so there's still a bias no?
ОтветитьIt would be nice to see a follow-up video explaining how the hardware produces truly random numbers.
ОтветитьWhat's the advantage of using a truly random seed? Does it have some use in cryptography or something?
ОтветитьIt’s-a Me, Mario!
ОтветитьThe only "random" thing in the Universe, is radio-active decay of an isotope. No one can predict when particles will be emitted.
Ответитьvery odd. it's not like computerphile to post something so fundamentally wrong. it's impossible for software or hardware to generate genuine random numbers... what a blunder
ОтветитьWhat is depressing is the sh*t equipment UK professors are provided. SMH
ОтветитьUtterly disappointed, the computer doesn’t use quantum physics to create truly random numbers
ОтветитьPlease don’t use auto-generated captions on videos like this when the speaker is going to be hard to understand. Please take the time to write up a transcript and ensure your video is accessible to all. Thank you!
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