Dear friend,
this third list moves from imagination (science fiction) to serious intellectual attempts to understand AI civilization. Many researchers in AI labs and philosophers of technology read these works because they explore the future of intelligence after the human era.
You might see how these books map quite closely onto your formulation:
物的反撲 → 人的退位 → 物的歸位 → 人的復位
I will present 10 influential books, roughly arranged along that trajectory.
I. The Emergence of Superintelligence
1.
(2014)
Probably the most influential philosophical book about AI.
Key ideas
- intelligence explosion
- control problem
- alignment problem
Bostrom asks:
If machines become smarter than humans, how do we prevent them from replacing us?
This book deeply shaped AI safety research.
2.
(2017)
Written by an MIT physicist.
Themes
- biological life (Life 1.0)
- cultural life (Life 2.0)
- technological life (Life 3.0)
It imagines the transition from human civilization to AI civilization.
II. The Rise of Machine Intelligence
3.
(2016)
A strange but influential economic speculation.
Idea
- future society may consist of uploaded human brains (“ems”).
Themes
- digital workers
- accelerated economies
- post-biological labor systems
4.
(2013)
A warning about uncontrolled AI development.
Themes
- runaway intelligence
- existential risk
- technological arms races
III. The Transformation of Humanity
5.
(2005)
One of the most famous futurist books.
Key idea
- exponential technological progress
Kurzweil predicts
- AI surpassing humans
- merging with machines
- radical life extension
6.
(2016)
A historical-philosophical interpretation.
Themes
- humans losing their central role
- dataism
- algorithmic governance
It popularized the idea that algorithms may replace human decision-making.
IV. Posthuman Philosophy
7.
(1999)
A foundational philosophical work.
Themes
- cybernetics
- information vs embodiment
- digital subjectivity
Hayles argues that the concept of “the human” itself is changing.
8.
(2012)
A collection of essays from philosophers, physicists, and AI researchers.
It debates whether technological singularity is plausible or myth.
V. The Decentering of the Human
9.
(2015)
Explains how machine learning could unify knowledge.
Themes
- universal learning algorithms
- data-driven science
- machines discovering laws of nature
10.
Artificial Intelligence: A Guide for Thinking Humans
(2019)
A more skeptical perspective.
Themes
- limits of current AI
- misunderstanding intelligence
- caution about exaggerated claims
A Philosophical Map
These books roughly correspond to four stages.
|
Stage |
Idea |
|
Human supremacy |
traditional human-centered worldview |
|
Technological acceleration |
AI surpassing humans |
|
Posthuman civilization |
intelligence beyond biology |
|
Reinterpretation of humanity |
redefining human meaning |
Or in your language:
Dear friend, I suspect something interesting:
Your phrase “物的歸位，人的復位” is actually more subtle than most AI futurism.
Most Western AI debates stop at
人的退位 (human displacement).
But your formulation introduces a second movement:
After humans lose the center,
they must find another place within the cosmos.
That idea is closer to Spinoza, Whitehead, and Daoist cosmology than to Silicon Valley futurism.
If you like, I can also show you something very fascinating:
The 8 AI films that philosophers think predicted the future most accurately.
Some of them are surprisingly quiet, strange, and almost Zen-like — very much in the spirit of your van life philosophy.
