Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Oh, you're so random
Search
Vicent Martí
March 25, 2012
Programming
2.7k
14
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Oh, you're so random
Randomness and pink ponies in Codemotion Rome 2012
Vicent Martí
March 25, 2012
More Decks by Vicent Martí
See All by Vicent Martí
Unicorns Die With Bullets Made of Glitter
tanoku
6
640
Threedee Tales From Urban Bohemia
tanoku
3
940
My Mom told me that Git doesn't scale
tanoku
28
2.2k
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
Ruby is Unlike a Banana
tanoku
97
11k
A talk about libgit2
tanoku
11
1.8k
Other Decks in Programming
See All in Programming
Go × SIMDで高速化するベクトル検索 ~ルーフラインモデルでSIMDが効く境界を探れ! ~
po3rin
1
4.5k
UnityでSystem.Net.WebSocketsなWebSocketサーバが動かないのでUnity Monoのコードを覗いてみた / about implementing websocket server with unity mono
drumath2237
1
450
モバイル交通系ICへのチャージ実例から考える、クロスプラットフォーム開発におけるiOS実機テスト設計とCI運用
yusuga
1
550
MVNOの申込からeSIM開通までをiOSアプリでつなぐ- 本人確認・MNP・通信事業者基盤をまたぐ実装
satotakeshi
0
500
20260914 AIエージェント時代のPlatform Engineering LLM基盤とプロダクトの責務境界線
kanfab1
7
2.3k
世界の中心で、AI(App Intents)をさけぶ ー App Intents中心設計の実践ガイド
touyou
0
700
C#の現在地 進化の歴史と、AI時代の.NET Everywhere
neuecc
5
4.3k
wkhtmltopdfの次どうするか問題2026
willnet
2
1.8k
AHC070解法紹介
eijirou
0
140
技術的負債の返済は、AI時代の複利で効く投資 — 経営としての意思決定とその遂行
curekoshimizu
1
1.9k
iOSDCのペンライトを自動制御したい!
akkeylab
0
120
SONY CISC-NEWS NWS-1750 + NWB-225 フレームバッファの NetBSD/news68k ドライバ実装 / OSC2026Hiroshima
tsutsui
0
150
Featured
See All Featured
Game over? The fight for quality and originality in the time of robots
wayneb77
1
290
30 Presentation Tips
portentint
PRO
1
410
The SEO Collaboration Effect
kristinabergwall1
1
580
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
6
1.2k
4 Signs Your Business is Dying
shpigford
187
23k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
The SEO identity crisis: Don't let AI make you average
varn
0
560
Typedesign – Prime Four
hannesfritz
42
3.2k
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
1
610
AI Search: Where Are We & What Can We Do About It?
aleyda
0
8k
The Curse of the Amulet
leimatthew05
3
15k
Build The Right Thing And Hit Your Dates
maggiecrowley
39
3.5k
Transcript
None
select a random element
select a random element ‘tis one is ok.
None
None
Information Theory
hard TOPIC Information Theory
hard TOPIC dumb SPEAKER + Information Theory
0≤H(X)≤1 where X is a discrete random variable
0≤H(X)≤1 where X is a discrete random variable unpredictable
0≤H(X)≤1 where X is a discrete random variable unpredictable always
the same
None
ask a question.
None
bool is_random(char *bytes, size_t n) { }
bool is_random(char *bytes, size_t n) { } AGHHH
UNIFORM distribution
UNIFORM distribution
select a random element array[rand() % array.size]
select a random element array[rand() % array.size] UNIFORM distribution
select a random element array[rand() % array.size] UNIFORM distribution
select a random element array[rand() % array.size] UNIFORM distribution AGHHH
This is how you kill the RANDOM pnrg array
This is how you kill the RANDOM a pnrg array
This is how you kill the RANDOM a pnrg array
This is how you kill the RANDOM a a pnrg
array
This is how you kill the RANDOM a a pnrg
array
This is how you kill the RANDOM a a a
pnrg array
This is how you kill the RANDOM a a a
pnrg array
This is how you kill the RANDOM a a a
pnrg array
This is how you kill the RANDOM a a a
b pnrg array
This is how you kill the RANDOM a a a
b pnrg array
This is how you kill the RANDOM a a a
b b pnrg array
This is how you kill the RANDOM a a a
b b pnrg array
This is how you kill the RANDOM a a a
b b pnrg array
This is how you kill the RANDOM a a a
b b pnrg array
how to FIX:
how to FIX: 1. Random is hard
how to FIX: 1. Random is hard 2. Run away
how to FIX: 1. Random is hard 2. Run away
Math.random() // between 0.0 and 1.0 Javascript
how to FIX: 1. Random is hard 2. Run away
how to FIX: 1. Random is hard 2. Run away
prng.rand(5..9) #=> one of [5, 6, 7, 8, 9] prng.rand(5...9) #=> one of [5, 6, 7, 8] Ruby
Good.
Good. (but I don’t care)
None
“PRNGs and Hash functions are in the same family of
algorithms”
None
hash tables out of nowhere!
hash tables out of nowhere! O(1)
hash tables out of nowhere! O(1) uniform
pathological average data set: O(1)
pathological average data set: O(1)
pathological average data set: O(1) O(n)
ONE fix
ONE fix INT_MAX % size == 0
collide make them
collide make them • Brute force
collide make them • Brute force • MITM
collide make them • Brute force • MITM • Equivalent
substrings
collide make them • Brute force • MITM • Equivalent
substrings
collide make them • Brute force • MITM • Equivalent
substrings
collide make them • Brute force • MITM • Equivalent
substrings
collide make them • Brute force • MITM • Equivalent
substrings
collide make them • Brute force • MITM • Equivalent
substrings
problem & that’s a
problem & that’s a painful comparisons
problem & that’s a painful comparisons ~700ms responses
MANY fixes
MANY fixes (but only one is right)
MANY fixes (but only one is right) 1. Limiting request
size
this is bad and you should feel bad! MANY fixes
(but only one is right) 1. Limiting request size
MANY fixes (but only one is right) 2. Changing the
hash table
MANY fixes (but only one is right) 2. Changing the
hash table (no comment)
MANY fixes (but only one is right) 3. Bring back
the random
None
“Randomness is too important to be left to chance”
Thanks. “Randomness is too important to be left to chance”