What Shreya Shankar thinks about AI alignment

@shreya-shankar · 7 positions · On ppll ↗

Computer scientist working on LLMs in data systems; computer science PhD at UC Berkeley, creator of DocETL, co-teacher of an AI evals course with Hamel Husain, and incoming assistant professor at Carnegie Mellon.

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1 dated position, 2024, in their own words. Our reading of what Shreya Shankar has said — not written or endorsed by them.

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1. 24 Jun 2024

   Our readingTeams expect too much from AI applications at launch and fail to build the infrastructure to keep improving them.

   infrastructure

   Their wordsI think, in ML and AI engineering, that teams often expect too high of accuracy or alignment with their expectations from an AI application right after it’s launched, and often don’t build out the infrastructure to continually inspect data, incorporate new tests, and improve the end-to-end system. Then, over time, they only get more and more disappointed.

   ↗Short Musings on AI Engineering and "Failed AI Projects"sh-reya.com