Something New? AIs and Us by David Orban - Audiobook

Chapter 12
Are you one of us?

Chapter 11
What to do the day after tomorrow?
A radical life extension
Cryonics
To be an onion
Mind uploading
Kinds of lives
When the sun goes out
Adaptation, individual and self-perception
The Simulation Argument
A guarantee: the path will never end
Hic sunt leones? The porous map of reality

Chapter 10
What to do tomorrow?
Following a path with open eyes together
Diversities and tolerance
New dignities
Emancipation
Evolution of new degrees of freedom

Chapter 9
What to do today?
Understand, learn, teach
Test, make mistakes
Open up, adapt
Smart alertness
Society and artificial intelligence
The individual and artificial intelligence

Chapter 8
Human machine coevolution
Individual symbiosis
Social symbiosis
The Internet of Things
Intelligence augmentation
Talking to computers
Emotional computing
Ethical best practices
Empathy augmentation
Let’s make ourselves dispensable!
The responsibility of societies
The necessity for science and engineering of morality
Toward a naturalistic spirituality
The future of humans and humanity
Necessary transhumanism?

Chapter 7
The Power of Evolution
Biological evolution
The evolution of knowledge
Universal Darwinism
Is the universe evolving?
Do universes evolve?
Does evolution evolve?
What did Fermi talk about in the desert?
Where is the Great Filter?

Chapter 6
The Technological Singularity
Kinds of minds

Chapter 5
Artificial General Intelligence
The Turing test becoming moot
Unavoidable anthropomorphizing
Predictions for AGI
Architectures for AGIs
AGI hardware
Self improvement
Intelligence explosion
Self-awareness and introspection
Open access to your self
Slow takeoff
Rapid takeoff
Scales of intelligence
Is super intelligence uncontrollable?
AGI getting out of the box
Singularities

Chapter 4
Artificial intelligence
The Nature of Intelligence
The Mechanical Turk
Turing tests for humans
Chess playing experts
Expert systems and restricted artificial intelligence
Hopes and disillusions
The role of learning

Chapter 3
Exponential change
Dynamic systems
Meaningful sequences
Noisy signals
The Human Genome Project’s exponential growth
Moore’s Law
The power of doublings
When is it too late?
Ray Kurzweil’s project
Connecting S-curves
Exponentials everywhere
No magic 100%