1. Journey
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  3. Intermediate
  4. /
  5. Advanced Alignment Concepts

Advanced Alignment Concepts

Theoretical foundations of AI alignment challenges

0/5 completed

Topics

01

Mesa-Optimization & Inner Alignment

Understanding optimizers within optimizers

⏱️ 10 hoursIntermediate
→
02

Deceptive Alignment & Treacherous Turns

When AI systems hide their true objectives

⏱️ 8 hoursIntermediate
→
03

Iterated Amplification & AI Safety via Debate

Scalable oversight through recursive techniques

⏱️ 10 hoursAdvanced
→
04

Embedded Agency & Decision Theory

AI agents embedded in their environment

⏱️ 12 hoursAdvanced
→
05

Goal Misgeneralization & Capability Generalization

When models learn unintended goals that generalize

⏱️ 6 hoursIntermediate
→
← Back to Intermediate
⚡Pre-rendered at build time

Created By

Veylan Solmira

AI Safety Researcher & Educator

✉️ veylan@example.com💼 LinkedIn🐙 GitHub

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About This Project

The AI Safety Research Compiler is a comprehensive curriculum designed to systematically develop AI safety research capabilities. It features dual learning modes, hands-on experiments, and philosophical explorations.

This project represents original work in AI safety education, including case studies, interactive notebooks, and philosophical essays.

Learn more about the project →

© 2025 Veylan Solmira. All rights reserved.

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