What Could Stop the AI Computer?
In short: Before believing in an AI-first computer, this film weighs falling costs against weak reliability, security risks, fragile trust and regulation, and offers a cautious prediction: the agent does the work, and a person approves consequential actions.
A 2:06 short film in the series “Tomorrow's World”, narrated by intellect_voice_01.
Sources used in this film: Computer History Museum, “Xerox Alto Source Code”; PARC (Palo Alto Research Center), Xerox – archived via the Internet Archive Wayback Machine, “PARC History - A Legacy Of Innovation And Inventing The Future”; IEEE Spectrum, “AI Agents Take Control: Exploring Computer-Use Agents”; arXiv (preprint by Mengqi Yuan, Zilong Zhou, Xinzhuang Xiong, Tianbao Xie, Tao Yu et al.), “OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks”; Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI), AI Index, “The 2025 AI Index Report | Stanford HAI”; National Institute of Standards and Technology (NIST), Center for AI Standards and Innovation (CAISI), “Technical Blog: Strengthening AI Agent Hijacking Evaluations”; European Commission (Shaping Europe's digital future), “AI Act”; Frontiers in Robotics and AI (Frontiers Media), via PubMed Central, U.S. National Library of Medicine; authors from Delft and Leiden, “Exploring the effect of automation failure on the human’s trustworthiness in human-agent teamwork”; Journal of the American Medical Informatics Association (via PubMed Central, US National Library of Medicine), “Automation bias: a systematic review of frequency, effect mediators, and mitigators”.
Sources used in this film
- Computer History Museum — Xerox Alto Source Code · View →
- PARC (Palo Alto Research Center), Xerox – archived via the Internet Archive Wayback Machine — PARC History - A Legacy Of Innovation And Inventing The Future · View →
- IEEE Spectrum — AI Agents Take Control: Exploring Computer-Use Agents · View →
- arXiv (preprint by Mengqi Yuan, Zilong Zhou, Xinzhuang Xiong, Tianbao Xie, Tao Yu et al.) — OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks · View →
- Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI), AI Index — The 2025 AI Index Report | Stanford HAI · View →
- National Institute of Standards and Technology (NIST), Center for AI Standards and Innovation (CAISI) — Technical Blog: Strengthening AI Agent Hijacking Evaluations · View →
- European Commission (Shaping Europe's digital future) — AI Act · View →
- Frontiers in Robotics and AI (Frontiers Media), via PubMed Central, U.S. National Library of Medicine; authors from Delft and Leiden — Exploring the effect of automation failure on the human’s trustworthiness in human-agent teamwork · View →
- Journal of the American Medical Informatics Association (via PubMed Central, US National Library of Medicine) — Automation bias: a systematic review of frequency, effect mediators, and mitigators · View →
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Sources
- Summary by Intellect · source: Computer History Museum: Xerox Alto Source Code
- Also: PARC (Palo Alto Research Center), Xerox – archived via the Internet Archive Wayback Machine: PARC History - A Legacy Of Innovation And Inventing The Future
- Also: IEEE Spectrum: AI Agents Take Control: Exploring Computer-Use Agents
- Also: arXiv (preprint by Mengqi Yuan, Zilong Zhou, Xinzhuang Xiong, Tianbao Xie, Tao Yu et al.): OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
- Also: Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI), AI Index: The 2025 AI Index Report | Stanford HAI
- Also: National Institute of Standards and Technology (NIST), Center for AI Standards and Innovation (CAISI): Technical Blog: Strengthening AI Agent Hijacking Evaluations
- Also: European Commission (Shaping Europe's digital future): AI Act
- Also: Frontiers in Robotics and AI (Frontiers Media), via PubMed Central, U.S. National Library of Medicine; authors from Delf: Exploring the effect of automation failure on the human’s trustworthiness in human-agent teamwork
- Also: Journal of the American Medical Informatics Association (via PubMed Central, US National Library of Medicine): Automation bias: a systematic review of frequency, effect mediators, and mitigators
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