We dig into how the concept of AI "safety" has been co-opted and weaponized by tech companies. Starting with examples like Mecha-Hitler Grok, we explore how real safety engineering differs from AI "alignment," the myth of the alignment tax, and why this semantic confusion matters for actual safety.

• (00:00) - Intro

• JMLR article - Underspecification Presents Challenges for Credibility in Modern Machine Learning
• Trail of Bits paper - Towards Comprehensive Risk Assessments and Assurance of AI-Based Systems
• SSRN paper - Uniqueness Bias: Why It Matters, How to Curb It

Additional Referenced Papers

• NeurIPS paper - Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
• ICML paper - AI Control: Improving Safety Despite Intentional Subversion
• ICML paper - DarkBench: Benchmarking Dark Patterns in Large Language Models
• OSF preprint - Current Real-World Use of Large Language Models for Mental Health
• Anthropic preprint - Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Inciting Examples

• ars Technica article - US government agency drops Grok after MechaHitler backlash, report says
• The Guardian article - Musk’s AI Grok bot rants about ‘white genocide’ in South Africa in unrelated chats
• BBC article - Update that made ChatGPT 'dangerously' sycophantic pulled

Other Sources

• London Daily article - UK AI Safety Institute Rebrands as AI Security Institute to Focus on Crime and National Security
• Vice article - Prominent AI Philosopher and ‘Father’ of Longtermism Sent Very Racist Email to a 90s Philosophy Listserv
• LessWrong blogpost - "notkilleveryoneism" sounds dumb (see comments)
• EA Forum blogpost - An Overview of the AI Safety Funding Situation
• Book by Dmitry Chernov and Didier Sornette - Man-made Catastrophes and Risk Information Concealment
• Euronews article - OpenAI adds mental health safeguards to ChatGPT, saying chatbot has fed into users’ ‘delusions’
• Pleias website
• Wikipedia page on Jaywalking