https://arxiv.org/abs/2501.06707 Skip to main content Cornell University In just 3 minutes help us improve arXiv: Annual Global Survey We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate arxiv logo > cs > arXiv:2501.06707 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Computer Science > Artificial Intelligence arXiv:2501.06707 (cs) [Submitted on 12 Jan 2025] Title:ELIZA Reanimated: The world's first chatbot restored on the world's first time sharing system Authors:Rupert Lane, Anthony Hay, Arthur Schwarz, David M. Berry, Jeff Shrager View a PDF of the paper titled ELIZA Reanimated: The world's first chatbot restored on the world's first time sharing system, by Rupert Lane and 4 other authors View PDF HTML (experimental) Abstract:ELIZA, created by Joseph Weizenbaum at MIT in the early 1960s, is usually considered the world's first chatbot. It was developed in MAD-SLIP on MIT's CTSS, the world's first time-sharing system, on an IBM 7094. We discovered an original ELIZA printout in Prof. Weizenbaum's archives at MIT, including an early version of the famous DOCTOR script, a nearly complete version of the MAD-SLIP code, and various support functions in MAD and FAP. Here we describe the reanimation of this original ELIZA on a restored CTSS, itself running on an emulated IBM 7094. The entire stack is open source, so that any user of a unix-like OS can run the world's first chatbot on the world's first time-sharing system. Comments: In review Subjects: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Symbolic Computation (cs.SC) Cite as: arXiv:2501.06707 [cs.AI] (or arXiv:2501.06707v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2501.06707 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Jeff Shrager [view email] [v1] Sun, 12 Jan 2025 04:23:34 UTC (22 KB) Full-text links: Access Paper: View a PDF of the paper titled ELIZA Reanimated: The world's first chatbot restored on the world's first time sharing system, by Rupert Lane and 4 other authors * View PDF * HTML (experimental) * TeX Source * Other Formats license icon view license Current browse context: cs.AI < prev | next > new | recent | 2025-01 Change to browse by: cs cs.CY cs.SC References & Citations * NASA ADS * Google Scholar * Semantic Scholar a export BibTeX citation Loading... BibTeX formatted citation x [loading... ] Data provided by: Bookmark BibSonomy logo Reddit logo (*) Bibliographic Tools Bibliographic and Citation Tools [ ] Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) [ ] Connected Papers Toggle Connected Papers (What is Connected Papers?) [ ] Litmaps Toggle Litmaps (What is Litmaps?) [ ] scite.ai Toggle scite Smart Citations (What are Smart Citations?) ( ) Code, Data, Media Code, Data and Media Associated with this Article [ ] alphaXiv Toggle alphaXiv (What is alphaXiv?) [ ] Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) [ ] DagsHub Toggle DagsHub (What is DagsHub?) [ ] GotitPub Toggle Gotit.pub (What is GotitPub?) [ ] Huggingface Toggle Hugging Face (What is Huggingface?) [ ] Links to Code Toggle Papers with Code (What is Papers with Code?) [ ] ScienceCast Toggle ScienceCast (What is ScienceCast?) ( ) Demos Demos [ ] Replicate Toggle Replicate (What is Replicate?) [ ] Spaces Toggle Hugging Face Spaces (What is Spaces?) [ ] Spaces Toggle TXYZ.AI (What is TXYZ.AI?) ( ) Related Papers Recommenders and Search Tools [ ] Link to Influence Flower Influence Flower (What are Influence Flowers?) [ ] Core recommender toggle CORE Recommender (What is CORE?) * Author * Venue * Institution * Topic ( ) About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?) * About * Help * Click here to contact arXiv Contact * Click here to subscribe Subscribe * Copyright * Privacy Policy * Web Accessibility Assistance * arXiv Operational Status Get status notifications via email or slack