Another great guest post: Pseudo-Random Number Generators: From the Origins to Modern Algorithms
How can we generate a uniform sequence of random numbers? The randomness so beautifully and abundantly generated by nature has not always been easy for humans to extract and quantify.
https://blog.frankel.ch/prng-evolution/
Nicolas Fränkel 🇺🇦🇬🇪 /
npub19m…27feu
2024-11-17 18:06:34
Author Public Key
npub19mpndkmve9zljku0zrl62ffjhzf4nup5aly0jac6jqkvwdl8c5gqs27feuPublished at
2024-11-17 18:06:34Event JSON
{
"id": "452bd1fc74908f06b20878a96b7d7e29cba43ffb9d0368a21b2dc3cfc71f6096",
"pubkey": "2ec336db6cc945f95b8f10ffa52532b89359f034efc8f9771a902cc737e7c510",
"created_at": 1731866794,
"kind": 1,
"tags": [
[
"proxy",
"https://mastodon.top/users/frankel/statuses/113499622263825287",
"activitypub"
]
],
"content": "Another great guest post: Pseudo-Random Number Generators: From the Origins to Modern Algorithms\n\nHow can we generate a uniform sequence of random numbers? The randomness so beautifully and abundantly generated by nature has not always been easy for humans to extract and quantify.\n\nhttps://blog.frankel.ch/prng-evolution/",
"sig": "c6ac3fc441dc74702a92ff49e03fd6d7b5bc8e010266d55548691cfd4ec3bb177ece564bbfa97bc7bfb2889f3447403d1775d548fe3cd09e0272d47f2607ba66"
}