Janus' Simulators
Scott Alexander explores the concept of AI as 'simulators' and its implications for AI alignment and human cognition.
A thread through the archive
Essays tagged “AI alignment”. Follow an idea across the archive.
Scott Alexander explores the concept of AI as 'simulators' and its implications for AI alignment and human cognition.
A technical dialogue between Scott Alexander and Eliezer Yudkowsky exploring why AI alignment is difficult, covering the inapplicability of human moral development analogies, the nature of AI consequentialism, and skepticism about acausal trade as a safety mechanism.
Scott examines how AI language models' opinions and behaviors evolve as they become more advanced, discussing implications for AI alignment.
Scott Alexander analyzes the shortcomings of OpenAI's ChatGPT, highlighting the limitations of current AI alignment techniques and their implications for future AI development.
Scott Alexander examines Redwood Research's attempt to create an AI that avoids generating violent content, using Alex Rider fanfiction as training data.
Scott Alexander explains and analyzes the debate between MIRI and CHAI on AI alignment strategies, focusing on the challenges and potential flaws in CHAI's 'assistance games' approach.
Scott examines two types of happiness - one affected by predictability and one that persists - through various examples and neuroscientific concepts.
Scott Alexander examines the Eliciting Latent Knowledge (ELK) problem in AI alignment and various proposed solutions.
Scott Alexander explains mesa-optimizers in AI alignment, their potential risks, and the challenges of creating truly aligned AI systems.
Scott Alexander argues against Erik Hoel's claim that the decline of 'aristocratic tutoring' explains the perceived lack of modern geniuses, offering alternative explanations and counterexamples.
Scott Alexander reviews a dialogue between Yudkowsky and Ngo on AI alignment difficulty, exploring the challenges of creating safe superintelligent AI.
Scott Alexander discusses how his blog contributes to developing rationality skills through analysis of complex issues and community discussion, despite not focusing directly on core rationality techniques.
Scott Alexander examines how recent AI progress in neural networks might challenge the Bostromian paradigm of AI risk, exploring potential implications for AI goal alignment and motivation systems.
Scott explains why superintelligent AI poses serious risks, how a 'fast takeoff' could leave insufficient time to solve safety problems, and why even simple-sounding goals could lead to catastrophic outcomes without proper alignment research.