Kelsey Piper

Large language models show remarkably consistent liberal values across different languages despite being trained predominantly on English text, suggesting the Sapir-Whorf hypothesis does not apply to AI systems.

“Author of "Do AIs Think Differently in Different Languages?"”

“Visited Anthropic and reported on internal discussions about recursive self-improvement and AI safety challenges.”

“Argued that model welfare policies like being kind to Claude make sense without implying consciousness.”

“Covered AI existential risk debates and the distinction between different levels of concern about superintelligence.”

The characterization of AI as a 'next-token predictor' is a confusion of levels—humans also perform next-token (sense-datum) prediction at the learning level, suggesting this is a job description rather than a fundamental species distinction.

“Wrote about how AIs are more than just next-token predictors, discussing fine-tuning and RLHF.”