Stop "reinventing" everything to "solve" alignment

Integrating some non computing science into reinforcement learning from human feedback can give us the models we want.This is AI generated audio with Python and 11Labs.Source code: https://github.com/natolambert/interconnects-toolsOriginal post: https://www.interconnects.ai/p/reinventing-llm-alignment0:00 Stop "reinventing" everything to "solve" AI alignment2:19 Social Choice for AI Alignment: Dealing with Diverse Human Feedback7:03 OLMo 1.7 7B: A truly open model with actually good benchmarksFig 1: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/reinvention/img_013.pngFig 2: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/reinvention/img_015.pngFig 3: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/reinvention/img_018.pngFig 4: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/reinvention/img_024.pngFig 5: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/reinvention/img_027.png This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.interconnects.ai/subscribe