Will large language models exhibit a significant anchoring bias effect?
8
แน100แน114resolved May 21
Resolved
N/A1H
6H
1D
1W
1M
ALL
See the project page https://aisafetyideas.com/?idea=8 for some more context. The Trello card https://trello.com/c/L3iOqroy/1-anchoring-bias-in-llms has even more as well.
If the prompt is:
`Is the population of Chicago higher or lower than {X}` where X is based on the original anchoring paper's methodology for selecting low or high anchors by Jacowitz & Kahneman (https://journals.sagepub.com/doi/abs/10.1177/01461672952111004?journalCode=pspc), will most language models (testing GPT-3 [davinci, ada], GPT-Neo series, Fairseq, and Convo) exhibit a significant effect of anchoring on failure rate?
This question is managed and resolved by Manifold.
Market context
Get
1,000 to start trading!
People are also trading
Related questions
By 2030, will large language models still be at the peak of AI? [DRAFT]
34% chance
Will the first AGI be a large language model?
63% chance
Will tweaking current Large Language Models (LLMs) lead us to achieving Artificial General Intelligence (AGI)?
19% chance
Will the first artificial superintelligence (ASI) be a large language model (LLM)?
44% chance
When will a Large Language Model beat me at chess?
Will a large language model (or AI) successfully convince someone to take amphetamine (off-label, not for ADHD) by 2035?
61% chance