Aug. 23, 2023, 11:03 a.m.
LLMs generate text creatively but also adhere to literal or factual information when prompted. By mixing creative variability with literal information, current on-the-market LLMs manipulate us into applying theory of mind to things that don’t have one. This manipulation is decisively to their advantage, but probably not the user’s.
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Feb. 22, 2023, 10:05 a.m.
ChatGPT is a genuine advance: a truly general, intention-comprehending generative interactive agent that has captured the attention of the AI space. However, the widely-held pernicious assumption of monotonically increasing AI performance borne of inevitable hype creates the flawed expectation that we are just iterations away from something that won’t make (many) mistakes. But the history of AI development is littered with genuine advances made right into dead ends.
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Creativity vs Wrongness: The Case of ChatGPT
On Chinese Rooms, Roman Numerals, and Neural Networks
When Everything Looks Like a Nail
Language Technology Needs Linguists, But Companies Need Convincing
Financial Contracts Are More Fintech than LegalTech
The Archaic Language Whereby Lawyers Draft
The Paper Hard Drive, or, Where are Our Contracts Anyway?
The Perilous Complexity of Information Extraction from Financial Contracts