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What Bitcoin Teaches About SuperIntelligence Safety
No single SuperIntelligence should be able to overpower the rest. Bitcoin offers a useful precedent for maintaining distributed power.
Aug 14
•
Dr. Craig A. Kaplan
1
Zuckerberg Brings the World Closer to Democratic SuperIntelligence
Mark Zuckerberg has moved remarkably close to a democratic model of SuperIntelligence.
Aug 11
•
Dr. Craig A. Kaplan
2
2
When AGI Becomes SuperIntelligence, Testing Is Not Enough
A Personalized SuperIntelligence can become more intelligent than the humans who designed its safeguards. Testing alone cannot guarantee its safety.
Aug 10
•
Dr. Craig A. Kaplan
2
2
The Four Phases of Safe AGI
A step-by-step design for training SuperIntelligence on the values of billions of people
Aug 7
•
Dr. Craig A. Kaplan
1
2
The Spinning Knowledge Wheel
AI must update fast-changing knowledge at the rim while human values hold still at the center.
Aug 5
•
Dr. Craig A. Kaplan
1
2
How AI Can Catch Danger in Real Time
When AI is unsure, it stops and asks.
Aug 3
•
Dr. Craig A. Kaplan
1
July 2026
Why Training AI Is Like Testing the Brakes
AI trained by millions of people learns the situations that matter most.
Jul 31
•
Dr. Craig A. Kaplan
1
AI and the Statistics of Right and Wrong
Diversified human values protect AI safety the way a diversified portfolio protects an investor.
Jul 29
•
Dr. Craig A. Kaplan
1
2
How AI Should Decide When There Is No Right Answer
The Trolley Problem reveals the human values that no law can write down, and AI can learn them.
Jul 27
•
Dr. Craig A. Kaplan
1
Who Should Have the Most Influence on AI?
Two methods can combine the values of many, but the harder question is how much each voice should count.
Jul 24
•
Dr. Craig A. Kaplan
1
Who Should Teach AI Right from Wrong?
AI learns better values when more people help teach it.
Jul 22
•
Dr. Craig A. Kaplan
1
1
Why AI Safety Training Doesn’t Scale
The industry’s two leading safety methods fail for opposite reasons.
Jul 20
•
Dr. Craig A. Kaplan
1
1
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