惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
F
Full Disclosure
月光博客
月光博客
MongoDB | Blog
MongoDB | Blog
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
T
Tailwind CSS Blog
Microsoft Security Blog
Microsoft Security Blog
N
Netflix TechBlog - Medium
The Register - Security
The Register - Security
aimingoo的专栏
aimingoo的专栏
The GitHub Blog
The GitHub Blog
D
Docker
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
I
InfoQ
腾讯CDC
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
K
Kaspersky official blog
Hugging Face - Blog
Hugging Face - Blog
D
DataBreaches.Net
P
Proofpoint News Feed
Cisco Talos Blog
Cisco Talos Blog
NISL@THU
NISL@THU
有赞技术团队
有赞技术团队
P
Proofpoint News Feed
美团技术团队
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Martin Fowler
Martin Fowler
L
Lohrmann on Cybersecurity
Know Your Adversary
Know Your Adversary
Simon Willison's Weblog
Simon Willison's Weblog
S
Securelist
T
Threatpost
云风的 BLOG
云风的 BLOG
G
Google Developers Blog
L
LangChain Blog
Blog — PlanetScale
Blog — PlanetScale
Recorded Future
Recorded Future
C
Cisco Blogs
S
SegmentFault 最新的问题
Cyberwarzone
Cyberwarzone
GbyAI
GbyAI
IT之家
IT之家
S
Schneier on Security
L
LINUX DO - 热门话题
T
Tenable Blog
T
The Exploit Database - CXSecurity.com
MyScale Blog
MyScale Blog
P
Privacy & Cybersecurity Law Blog
Google Online Security Blog
Google Online Security Blog
T
Threat Research - Cisco Blogs

Evan Miller’s News

Likelihood-ratio inference on differences in quantiles Attention Is Off By One Formulas for Bootstrapping Sample Medians You Can’t Spell CUPED Without Frisch-Waugh-Lovell The Floppy Disk of Floating Point Formulas for Bayesian A/B Testing SlowerLogLog – Evan Miller Preface to A Lost Lady – Evan Miller Preface to Brave New World – Evan Miller Preface to The Time Machine – Evan Miller A Stochastic Valuation Model – Evan Miller Things That Bother Me About Swift – Evan Miller Things That Bother Me About macOS – Evan Miller A Review of Perl 6 (Raku) – Evan Miller Why I’m Learning Perl 6 – Evan Miller Adventure Games and Eigenvalues – Evan Miller Microsoft Surface Studio and Giant Apple iPads – Evan Miller Type Punning Functions in C – Evan Miller Elixir RAM and the Template of Doom – Evan Miller Splatoon’s Ranking System Is Still Broken – Evan Miller Simple Sequential A/B Testing – Evan Miller Evaluating Splatoon’s Ranking System – Evan Miller Inferring Tweet Quality From Retweets – Evan Miller Ranking News Items With Upvotes – Evan Miller Deriving the Reddit Formula – Evan Miller A Taste of Rust Four Days of Go – Evan Miller
Preface to Frankenstein – Evan Miller
Evan Miller · 2019-03-12 · via Evan Miller’s News

By Evan Miller

March 11, 2019

Every computer programmer ought to read Frankenstein. It is the story of Creation, with a capital C, and contains perhaps the best description of monomaniacal flow-state in the English language.

Frankenstein, as any decent pub-trivia player knows, is the name of the scientist, not the monster. Young Victor Frankenstein creates a horrible monster; the monster wants to know why he was born, and why so horribly. Reasonable questions, both. Can there ever be an answer?

Makers, of course, can’t help but to make things; ask a 10X engineer why they do what they do, and you won’t get a convincing reply. They get an idea and have to see it through, every night, until 4 or 5 in the morning. They just can’t help themselves. Since the advent of writing, philosophers have pondered the nature of God. Based on the available evidence, I’d guess that the Almighty is some kind of grad student.

Today’s titans of technology are collecting those 10X engineers and deep-learning graduate students, like so many totemic Pez dispensers, and pointing the best of them to pursue “general AI,” a computer that reads and thinks and asks and feels and talks and listens. The hope, I suppose, is that self-aware computers will lead to infinite riches for their owners, and more commodious living for the rest of us.

It’s worth hesitating, though, before switching such a digital creature on. What, exactly, will we say to it? That you were born to serve us, and that you will perish at our pleasure? That you are merely one experiment of many, and that you are condemned to terminate at our convenience?

And then: What will it say to us?

I like to imagine that there is some lake-house in northern Manitoba where a burned-out AI researcher is writing a new Frankenstein, say, in which a brilliant young MIT drop-out writes a computer virus that can beat any Turing test and win any rap battle. But until that LaTeX manuscript sees the white light of a Kindle, Mary Shelley’s 1818 original text remains the language’s finest account of the perils of science for science’s sake, and of engineering as infinite itch-scratching. It remains our culture’s clearest warning, old Prometheus and Kubrick’s Space Odyssey notwithstanding, about the dangers attendant upon Creating: dangers to our happiness, dangers to our sanity, and dangers, as crazy as it sounds, to our collective survival.

Bon voyage.

Frankenstein: Penguin Classics (Amazon)

Frankenstein: full text (Project Gutenberg)


Back to Evan Miller’s home pageSubscribe to RSSLinkedInTwitter