An exploration into the history of conversational technology, tracing its roots from Joseph Weizenbaum's 1966 ELIZA experiment at MIT to modern large language models like ChatGPT and Claude. The article examines how the evolution from rule-based symbolic AI to probabilistic deep learning has changed human interaction with machines, often leading users to attribute human qualities to code. It specifically addresses the risks of "chatbot psychosis" and the danger of individuals relying on general-purpose generative models for mental health support when these systems are prone to hallucinations or reinforcing delusional beliefs.
* The transition from symbolic AI's explicit rules to modern deep learning
* Joseph Weizenbaum’s warning against humanizing machines via the ELIZA effect
* The psychological impact and risks of using large language models for emotional support
* The transition from symbolic AI's explicit rules to modern deep learning
* Joseph Weizenbaum’s warning against humanizing machines via the ELIZA effect
* The psychological impact and risks of using large language models for emotional support
- Raph Levien, who is an expert in Rust and rendering on GPUs, who founded Advogato, and who designed Inconsolata, a great monospace font. His talk's title is *I Want a Good Parallel Language*.
- Jeff Shrager will give a talk on reviving early AI programs like ELIZA and IPL-V. His talk's title is *RetroAI: Reanimating the Earliest AIs in the Lost Languages that Predated Lisp*.
- Jeff Shrager will give a talk on reviving early AI programs like ELIZA and IPL-V. His talk's title is *RetroAI: Reanimating the Earliest AIs in the Lost Languages that Predated Lisp*.
Researchers discovered long-lost computer code and used it to resurrect the early chatbot ELIZA from MIT. Named after Eliza Doolittle from 'Pygmalion,' ELIZA was developed in the 1960s by MIT professor Joseph Weizenbaum. It was designed to emulate a psychotherapist in conversation and used a unique programming language called MAD-SLIP. Rediscovered in 2021, the original code was brought back to life after 60 years, demonstrating the chatbot's functionality and highlighting the historical significance of early artificial intelligence.
The ELIZA chatbot, created in the 1960s by Joseph Weizenbaum at MIT, has been painstakingly reconstructed from archived records and run for the first time in over half a century. This effort marks a significant step in preserving one of the earliest examples of artificial intelligence. Despite its rudimentary nature compared to modern AI, ELIZA's resurrection highlights its historical importance.
The original 1965 chatbot restored on the world's first time-sharing system, ELIZA, created by Joseph Weizenbaum at MIT in 1964-6, is running again on a reconstructed version of MIT's CTSS, running on an emulated IBM 7094.
This blog post explores applying the original ELIZA chatbot, a pioneering natural language processing program, in a way similar to modern large language models (LLMs) by using it to carry on an educational conversation about George Orwell's 'Animal Farm'.
An interdisciplinary research project exploring the history and ideas behind the influential ELIZA chatbot, created in the 1960s. The project aims to contextualize ELIZA, analyze its code, and examine its cultural impact on human-computer interaction.
This paper explores the history of ELIZA, the world's first chatbot, and how it was actually intended as a platform for research into human-machine interaction and interpretation, not as a chatbot.
