The Alignment Problem book cover

The Alignment Problem by Brian Christian Summary

The Alignment Problem
Brian Christian
4.34 (4596 Reviews)
Ai
Technology
Science
概要
主なポイント
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よくある質問

Overview of The Alignment Problem

The Alignment Problem reveals how AI systems can drift from human values, earning praise from Microsoft CEO Satya Nadella and NYT recognition as the #1 AI book. What happens when machines misunderstand our intentions? Brian Christian offers a crucial roadmap for our algorithmic future.

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クイックサマリー11分

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深堀り42分

知識を魅力的で例が豊富な洞察に変換

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キーアイデアを瞬時にキャプチャして素早く学習

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楽しく魅力的な方法で本を楽しむ

重要なポイント

1

When Machines Learn Our Worst Habits

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What happens when you teach a computer to read the entire internet? In 2013, Google unveiled word2vec, a system that could perform mathematical magic with language-add "China" to "river" and get "Yangtze," or subtract "France" from "Paris" and add "Italy" to get "Rome." It seemed like pure intelligence distilled into numbers. But when researchers tried "doctor minus man plus woman," they got "nurse." Try "computer programmer minus man plus woman" and you'd get "homemaker." The system hadn't just learned language-it had absorbed every gender bias embedded in millions of human-written texts. This wasn't a bug. It was a mirror. The problem runs deeper than words. In 2015, a Black web developer named Jacky Alcine opened Google Photos to find his pictures automatically labeled "gorillas." Google's solution? Simply remove the gorilla category entirely-even actual gorillas couldn't be tagged years later. Meanwhile, employment screening tools were discovered ranking the name "Jared" as a top qualification. Photography itself carries this legacy-for decades, Kodak calibrated film using "Shirley cards" featuring White models, making cameras literally incapable of photographing Black skin properly. The motivation to fix this came not from civil rights concerns but from furniture makers complaining about poor wood grain representation. When Joy Buolamwini tested commercial facial recognition systems, she found a 0.3% error rate for light-skinned males but 34.7% for dark-skinned females. The machines weren't creating bias-they were perfectly, ruthlessly reflecting ours.

2

The Impossible Mathematics of Fairness and Prediction

3

The Transparency Crisis and the Power of Simplicity

4

Designing Rewards and Unleashing Curiosity

5

Learning Values Through Imitation and Inference

6

The Wisdom of Uncertainty

7

Living with Intelligent Machines

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『The Alignment Problem』の核心的なアイデアを分かりやすいポイントに分解し、革新的なチームがどのように創造、協力、成長するかを理解します。

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@Leo, Law Student, UPenn
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"Makes me feel smarter every time before going to work"

@Cashflowbubu
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@Moemenn
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@Chloe, Solo founder, LA
platform
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likes
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"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw
platform
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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum
platform
comments
12
likes
108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC
platform
comments
254
likes
17

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore
platform
star
star
star
star
star

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful
platform
comments
96
likes
4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP
platform
star
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star
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"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon
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comments
201
thumbsUp
16

"It is great for me to learn something from the book without reading it."

@OojasSalunke
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star
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"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn
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"Makes me feel smarter every time before going to work"

@Cashflowbubu
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