Jacob Peacock

@jacobpeacock.bsky.social

Research Advisor at Stanford focused on improving animal welfare. Quantitative social scientist & ex-computational biologist. Open science and anti-speciesism. Views mine.

I see two LLM policy mistakes in hiring processes all the time: 1. Total ban on LLMs. Using an LLM for spellchecking, searching your own past writing for reference, or answering factual experience questions should absolutely be permissible. 🧵

Does adding plant-based meat to the @chipotle menu cause less meat purchasing? Our preregistered RCT (N=4,431) using a simulated food order suggests not. Neither adding sofritas PBM nor an additional hypothetical chicken-like PBM meaningfully reduced meat consumption: Full study: osf.io/z6rn2_v1

Bild

Fresh out of college, I designed binary classifiers and sentiment analysis tools for a marketing start-up. ~10 years later, off-the-shelf LLMs would easily replace and exceed what I did. Wild to read how much LLMs disrupted natural language processing www.quantamagazine.org/when-chatgpt...

When ChatGPT Broke an Entire Field: An Oral History | Quanta Magazine

Researchers in “natural language processing” tried to tame human language. Then came the transformer.

quantamagazine.org