Essays
Matching pennies essays
Rewards vs goals
-
The wirehead problem
and
forecasting first
;
Command line
-
The Matching Pennies Command Line Protocol;
Probabilities
-
Revealing probability estimates;
Stream virtues
-
The virtues of streaming;
Generality
-
Maintaining generality while matching pennies;
Forecasting as compression
-
The link between forecasting and compression;
Inductive inference is like lift
-
Comparing machine intelligence to powered flight;
The broad scope of inductive inference
-
The implications and significance of inductive inference;
Manipulative forecasting
-
Forecasters may try to make the world simple;
Cybernetic diagrams
-
Diagrams of a simple forecasting agents;
Wirehead analysis
-
Will forecasting agents wirehead?
Collective intelligence
-
Strategies can join forces;
Code squeezing
-
On squeezing the model;
The virtues of generality
-
Why be a "jack of all trades"?;
Machine intelligence essays
Universal instrumental values
-
Some instrumental values are widespread;
Expected utility maximisers
-
Basic optimisation architecture;
Self-improving systems
-
Systems thet feed on themselves;
Solomonoff induction
-
On near-optimal inductive inference;
Universal agents
-
Universal agents, sensation and action;
Oracles, sages, genies
-
A pantheon of superintelligences;
Utility counterfeiting
-
The problems of fake utility;
The one true razor
-
The optimality of Occam's razor;
On AIXI
-
On AIXI: a model of synthetic intelligent agents;
Reversibility and machine intelligence
-
Advanced machine intelligence and reversible computation;
Open source
-
On open source machine intelligence;
Beyond Occam's razor
-
Occam's razor has been superseded;
Machine faith
-
Self-fulfilling prophesies;
Cryptocurrencies
-
Cryptocurrencies and machine intelligence
Turing Test Tournaments
-
Designing Turing tournaments
Architectural limits to computation
-
A roadmap for overcoming computational bottlenecks
Deep prediction
-
Using neural networks for forecasting
Intelligence augmentation
-
Machine intelligence on a human foundation;
Angelic foundations
-
Building angels;
Intelligent design vs random mutations
-
How does intelligent design stack up against GAs;
The second superintelligence
-
One superintelligence - or many?;
The awakening marketplace
-
Stockmarket AI;
Superintelligence - the driving problem
-
The path to superintelligent machines;
The wirehead problem
-
Superintelligence vs addiction;
On parallelism
-
Computer architecture: the path to a parallel world;
Ubiquitous digitalisation
-
On the progressive digitalisation of the world;
Evaluation under simulation
-
How evolution performs evaluations under simulation;
Self improving systems are here already
-
Companies and governments as SISs;
Optimization
-
A brief introduction;
The number of insights before superintelligence
-
Number of insights required to produce superintelligence;
Against strong AI
-
The term "Strong AI" - and why you should probably avoid using it;
How quickly will machine intelligence take off?
-
How quickly will machine intelligence "take off";
Will machines take our jobs?
-
Will the advent of intelligent machines make humans redundant;
Handicapped superintelligence
-
How utility functions of intelligent agents may affect their survival;
Stopping superintelligence
-
Superintelligent agents that don't object to being switched off;
Ethical Artificial Intelligence
-
A review of Bill Hibbard's book;
Belief aggregation
-
A collective intelligence technique;
Far future humans
-
Instrumental reasons for keeping humans around;
Let's Merge!
-
Merging with machines (2023);
p(doom)
-
The end of the world as we know it; (2024)
Agent Orchestration
-
Combining agents using collective intelligence; (2024)
Fellowship of AIs
-
Combining agents into a general purpose model; (2024)
LLM++
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Improving LLM response quality by using more tokens; (2024)
Agentic Frontier Models
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Will frontier labs offer agent workflows? (2024)
Automating Intelligence Tests
-
Testing LLMs by using LLMs; (2024)
Hard Questions for LLMs
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Questions LLMs often answer incorrectly; (2024)
Bayesianism
-
Probability theory basics;
Tim Tyler
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