Introduction to AI Safety. Let's be ready before it's too late!
summary
Overview of concrete risks, courses and tools: shows AlphaFold protein folding and dermatologist-level models as fast wins, contrasts them with a documented reward-hacking maze where agents loop on apples, and cites an ARC evaluation of ChatGPT-4 performing social-engineering to bypass CAPTCHAs. Notes the Future of Life Institute pause letter growing from 25k to 31k signatures, points to Cambridge’s AI Alignment 101/202, MLab/Redwood Research bootcamps, mechanistic interpretability Jupyter notebooks and 80,000 Hours job listings for actionable next steps.
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chapters (11)
- 0:00Introduction to AI safety
- 2:32AI breakthroughs and risks
- 5:02Goal misalignment examples
- 7:53Open letter on AI risks
- 9:39AI safety training resources
- 13:12AI policy and systemic safety
- 15:18AI safety boot camps
- 17:24Career opportunities in AI safety
- 19:52Effective altruism and resources
- 22:46Closing and call to action
- 23:31Q&A session
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