1. Journey
  2. /
  3. Foundation
  4. /
  5. Essential ML for Safety

Essential ML for Safety

Just enough ML to be dangerous (in a good way)

0/3 completed

Topics

01

How LLMs Actually Work

Demystify language models without the heavy math

⏱️ 4 hoursIntermediate
→
02

When Training Goes Wrong

Common failure modes and how to spot them

⏱️ 3 hoursIntermediate
→
03

The Safety-Capability Balance

Understanding the fundamental tension in AI development

⏱️ 2 hoursBeginner
→
← Back to Foundation
⚡Pre-rendered at build time

Created By

Veylan Solmira

AI Safety Researcher & Educator

✉️ veylan@example.com💼 LinkedIn🐙 GitHub

Quick Links

  • Home
  • AI Safety Journey
  • Featured Work
  • Interactive Roadmap

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.

Built with Next.js, TypeScript, and a commitment to AI safety