1. Journey
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  3. Intermediate
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  5. Research Methods

Research Methods

Essential research skills for AI safety work

0/7 completed

Topics

01

Core Research Methodology

Fundamental research methods for AI safety

⏱️ Intermediate
→
02

AI Safety Fellowship Applications

Master the art of applying to AI safety fellowships and research programs

⏱️ 90 minutesIntermediate
→
03

Iterative Research Design

Developing and refining research approaches through iteration

⏱️ Intermediate
→
04

Problem Decomposition & Scoping

Breaking down complex AI safety problems into tractable research questions

⏱️ Intermediate
→
05

Research Project Management

Managing AI safety research projects effectively

⏱️ Intermediate
→
06

Algorithmic Progress Forecasting

Predicting future AI capabilities through analysis of algorithmic improvements

⏱️ 4-6 hoursAdvanced
→
07

Research Avoidance and Info Hazards

Understanding when and how to avoid dangerous research directions

⏱️ 4-6 hoursAdvanced
→
← Back to Intermediate
⚡Pre-rendered at build time

Created By

Veylan Solmira

AI Safety Researcher & Educator

✉️ veylan@example.com💼 LinkedIn🐙 GitHub

Quick Links

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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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