# Superintelligence, Bostom

> Source: https://ollybritton.com/notes/books/superintelligence/ · Updated: 2024-10-04 · Tags: notes, superintelligence, book, safe-to-post-online

![superintelligence.jpg](https://ollybritton.com/assets/attachments/img/superintelligence.jpg)

> Either build AGI and destroy all of humanity or build AGI and colonise $4\times 10^{20}$ stars.

This book was really, really good. I've been interested in the idea of AI safety for a while now after reading [LessWrong](https://lesswrong.com) and this book was just full of so much good information and new perspectives.

## Flashcards
### Past developments and present capabilities
#### Growth models and big history
* A few hundred thousand years ago, it took on the order of a million years to increase civilisations ability to support an extra one million citizens living at subsistence level.
* Then it took 2 centuries.
* Now it takes 90 minutes.
* Another revolution on the scale of the industrial revolution could mean the world economy doubling every 2 weeks.

#### Great expectations
* Sometimes a problem that initially looks hopelessly complicated (creating superintelligence) turns out to have a surprisingly simple solutions (but most of the time, this isn't the case).

#### Seasons of hope and despair
*No highlights*.

#### State of the art
* Donald Knuth: "AI has by now succeeded in doing essentially everything that requires 'thinking' but has failed to do most of what people and animals do 'without thinking'".
* An AI-Complete problem: a problem whose difficulty is roughly equivalent to creating a generally intelligent AI.
* Copernican Revolution -- astronomy seemed hopelessly complicated when we thought we were at the center of the earth, until a paradigm shift occurred. Could be be tackling AI in the wrong way?
* 2010 Flash Crash: a trillion dollars were wiped off the market due to the complex and unexpected interactions of individually simple trading components.

#### Opinions about the future of machine intelligence
*No highlights*.

### Paths to superintelligence
#### Artificial intelligence
* We know that blind evolutionary processes can produce human-level general intelligence, since it's happened at least once.
* But we don't have to rely on it being "blind", a specially crafted approach could get us there a lot quicker.
* This would be computationally unfeasible to carry out, but it does provide us with an upper bound on the difficulty.

#### Whole brain emulation
* We learnt to fly after ditching nature and running careful experiments in wind tubes.
* We learnt combustion after observing naturally occurring fires.
* What will the path to superintelligence be? Artificial or natural?
* The WBE approach looks to create superintelligence by simulating human brains.

#### Biological cognition
* This approach is about augmenting our existing biological cognition, like if there was a magical smart drug that everyone could take and it would dramatically boost their IQ.
* This is not revolutionary, the author drank coffee and chewed nicotine gum to help write the book.
* There are already low-hanging fruit with biological cognition, such as fixing iodine deficiency in pregnant woman and infants: [Iodine and Adult IQ Meta-analysis](deficincy ).
* It's not likely that there will be a magical smart drug however due to how delicately balanced and complex the human brain is. It's much more likely that a careful approach will need to be taken rather than flooding the brain with a certain type of chemical.
* Another approach is embryo selection.
* Embryo selection is already used in practice to select against genetic diseases that the parents of the embryos have, such as Huntington's disease.
* In this new approach, embryos would be selected according to genetic markers of intelligence.
* 10 generations of selecting 1 out of 10 embryos could lead to an IQ boost of 130 points.
* Techniques could be used to get sperm and egg cells directly from the embryos instead which would prevent the need for the selected embryos to grow up.
* This is ignoring the ethical objections, though perception could change. 18% of Americans said they wouldn't use IVF and then 53% they would once the first IVF baby was born.
* Other ideas: vats full of cortical tissue, large animal brains enhanced with human genes.

#### Brain-computer interfaces
* Brain-computer interfaces would be complex to set up, and to get them to a level that had seamless integration of information in conciousness would likely be an AI-complete problem.
* It's not about how fast information

#### Networks and organizations
#### Summary

### Forms of superintelligence
#### Speed superintelligence
#### Collective superintelligence
#### Quality superintelligence
#### Direct and indirect reach
#### Sources of advantage for digital intelligence

### The kinetics of an intelligence explosion
#### Timing and speed of the takeoff
#### Recalcitrance
#### Optimization power and explosivity

### Decisive strategic advantage
#### Will the frontrunner get a decisive strategic advantage?
#### How large will the successful project be
#### From decisive strategic advantage to singleton

### Cognitive superpowers
#### Functionalities and superpowers
#### An AI takeover scenario

### The superintelligent will
#### The relation between intelligence and motivation
#### Instrumental convergence

### Is the default outcome doom?
#### Existential catastrophe as the default outcome of an intelligence explosion?
#### The treacherous turn
#### Malignant failure modes

### The control problem
#### Two agency problems
#### Capability control methods
#### Motivation selection methods
#### Synopsis

### Oracles, genies, sovereigns, tools
#### Oracles
#### Genies and sovereigns
#### Tool-AIs
#### Comparison

### Multipolar scenarios
#### Of horses and men
#### Life in an algorithmic economy
#### Post-transition formation of a singleton?

### Acquiring values
#### The value loading problem
#### Evolutionary selection
#### Reinforcement learning
#### Associative value accretion
#### Motivational scaffolding
#### Value learning
#### Emulation modulation
#### Institution design
#### Synopsis

### Choosing the criteria for choosing
#### The need for indirect normativity
#### Coherent extrapolated volition
#### Morality models
#### Do What I Mean
#### Component list
#### Getting close enough

### The strategic picture
#### Science and technology strategy
#### Pathways and enablers
#### Collaboration

### Crunch time
#### Philosophy with a deadline
#### What is to be done?
#### Will the best in human nature please stand up

### Afterword

## Further Reading?

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Olly Britton — https://ollybritton.com. Machine-readable index: https://ollybritton.com/llms.txt
