Endnotes


Chapter 1

1.1 “Mitigating LLM Hallucinations: A Comprehensive Review of Techniques and Architectures.” Preprints, 202505.1955 (May 2025). https://www.preprints.org/manuscript/202505.1955 — See also: HalluLens Benchmark, arXiv:2504.17550 (ACL 2025). https://arxiv.org/abs/2504.17550

1.2 Microsoft. “Time Sync for Windows VMs in Azure.” https://learn.microsoft.com/en-us/azure/virtual-machines/windows/time-sync — “Configure an External Time Source for Windows VMs.” https://learn.microsoft.com/en-us/azure/virtual-machines/windows/external-ntpsource-configuration — “KVM Timekeeping.” Linux Kernel Documentation, v5.8, §4. https://www.kernel.org/doc/html/v5.8/virt/kvm/timekeeping.html

Chapter 2

2.1 Kirkpatrick, M. (2010, January 10). ReadWriteWeb via New York Times. https://youtu.be/LoWKGBloMsU?si=auOelcRrn_phEg3x&t=152

2.2 Meta Terms of Service 3.3.2, Effective January 1, 2025. https://www.facebook.com/legal/terms

2.3 “Permanently delete your Facebook account.” Meta Help Center. https://www.facebook.com/help/224562897555674

2.4 Warzel, C., & Wong, M. (2025, November 21). “Elon Musk Is Trying to Rewrite History.” The Atlantic. https://www.theatlantic.com/technology/2025/11/elon-musk-better-jesus-grok/685015/

2.5 Adamson, T. (2025, November 21). “France will investigate Musk’s Grok chatbot after Holocaust denial claims.” Associated Press. https://apnews.com/article/france-ai-musk-grok-holocaust-e8c952c5d878226aa917d7a65836ed88

2.6 Cuthbertson, A. (2025, May 26). “AI revolt: New ChatGPT model refuses to shut down when instructed.” The Independent. https://www.the-independent.com/tech/ai-safety-new-chatgpt-o3-openai-b2757814.html

2.7 OpenAI. (2025, April 29). “Sycophancy in GPT-4o: what happened and what we’re doing about it.” https://openai.com/index/sycophancy-in-gpt-4o/

2.8 “Agentic Misalignment: How LLMs could be insider threats.” Anthropic Research, 2025-06-20. https://www.anthropic.com/research/agentic-misalignment

2.9 Author’s estimate derived from volume OEM pricing (1,000+ unit quantities) for the minimum Linux-capable ARM configuration required to deliver the described feature set: ARM Cortex-A SoC (e.g., Rockchip RK3308, MediaTek MT8516) — $3-7; 512MB-1GB LPDDR4 DRAM — $2-5; 4-8GB eMMC flash — $1.50-3; Wi-Fi/Bluetooth module — $1.50-3; MEMS microphone array — $0.80-2; 1-2W speaker and amplifier — $1-3; power management IC and battery — $2.80-5.80; PCB fabrication and passives — $1-2.50; SMT assembly — $2-4; toy-grade plastic enclosure — $1.50-3.50. Electronics subtotal: $17-39; midpoint ~$28. Cloud-relay-only devices lacking a Linux stack can be built for significantly less (~$8-16). Component prices sourced from LCSC Electronics (https://www.lcsc.com); 1,000-unit volume pricing, accessed March 2026.

2.10 “AI-Powered Stuffed Animal Pulled From Market After Disturbing Interactions With Children.” CNN, 2025-11-19. https://www.cnn.com/2025/11/19/tech/folotoy-kumma-ai-bear-scli-intl

2.11 “AI Teddy Bear Back on the Market After Getting Caught Telling Kids How to Find Pills and Start Fires.” Futurism, 2025. https://futurism.com/future-society/ai-teddy-bear-back-on-market

2.12 Satter, R. (2026, February 12). “AI toy maker Miko exposed thousands of replies to kids: senators.” NBC News. https://www.nbcnews.com/tech/security/ai-toy-maker-exposed-thousands-responses-kids-senators-miko-rcna258326

2.13 Satter, R. (2025, December 18). “AI kids’ toys give explicit and dangerous responses in tests.” NBC News. https://www.nbcnews.com/tech/tech-news/ai-toys-gift-present-safe-kids-robot-child-miko-grok-alilo-miiloo-rcna246956

2.14 PIRG Education Fund. “Trouble in Toyland 2025: A.I. Bots and Toxics Present Hidden Dangers.” November 2025. https://pirg.org/edfund/resources/trouble-in-toyland-2025-a-i-bots-and-toxics-represent-hidden-dangers/

2.15 Common Sense Media. “AI in the Toy Box: How Parents View AI-Enabled Toys for Young Children.” Survey of 1,004 parents, December 2025. https://www.commonsensemedia.org/research/ai-in-the-toy-box-how-parents-view-ai-enabled-toys-for-young-children

2.16 NIST IR 8425 (2022): https://www.nist.gov/itl/applied-cybersecurity/nist-cybersecurity-iot-program/consumer-iot-cybersecurity — UK NCSC Code of Practice for Consumer IoT Security (2018): https://www.gov.uk/government/publications/code-of-practice-for-consumer-iot-security/code-of-practice-for-consumer-iot-security — OWASP IoT Top 10 (Weak/Hardcoded Passwords, #1): https://owasp.org/www-project-internet-of-things/

Chapter 3

3.1 Strauss, I., Moure, I., O’Reilly, T., & Rosenblat, S. (2025). “Real-World Gaps in AI Governance Research.” arXiv:2505.00174. https://arxiv.org/html/2505.00174 — Bengio, Y. et al. (2026). International AI Safety Report 2026. https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026

3.2 CISA. Zero Trust Maturity Model, Version 2. April 2023, p. 5. https://www.cisa.gov/sites/default/files/2023-04/CISA_Zero_Trust_Maturity_Model_Version_2_508c.pdf

3.3 Mark 3:25, King James Version.

Chapter 4

4.1 Frankfurt, H. G. (2005). On Bullshit. Princeton University Press. https://www2.csudh.edu/ccauthen/576f12/frankfurt__harry_-_on_bullshit.pdf

4.2 Hicks, M. T., Humphries, J., & Slater, J. (2024). “ChatGPT is bullshit.” Ethics and Information Technology, 26, 38. https://link.springer.com/article/10.1007/s10676-024-09775-5 — See also: Fredrikzon, J. (2025). “Rethinking Error: ‘Hallucinations’ and Epistemological Indifference.” Critical AI (Duke University Press). https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-11700255/401267/Rethinking-Error-Hallucinations-and

Chapter 5

5.1 Asimov, I. (1941). “Liar!” Astounding Science-Fiction. The Three Laws of Robotics were formally codified in I, Robot (Gnome Press, 1950).

5.2 “Vindicating the Three Laws of Robotics.” Preprints, 202511.0062 (2025). https://www.preprints.org/manuscript/202511.0062 — “The Three Laws of Artificial Intelligence.” Open Praxis, August 2025. https://openpraxis.org/articles/10.55982/openpraxis.17.3.794 — “From Asimov’s Robot Laws to the SET Framework.” AI and Ethics, February 2026. https://link.springer.com/article/10.1007/s43681-026-00986-8

Chapter 6

6.1 “Time Dysperception Perspective for Acquired Brain Injury.” PMC, PMC3888944. https://pmc.ncbi.nlm.nih.gov/articles/PMC3888944/

6.2 NHS dementia symptom guidance: https://www.nhs.uk/conditions/dementia/symptoms-and-diagnosis/symptoms/ — Alzheimer’s Society. “Time-shifting and dementia.” https://www.alzheimers.org.uk/about-dementia/symptoms-and-diagnosis/time-shifting — See also: O’Keeffe, E., Mukhtar, O., & O’Keeffe, S. T. (2011). “Orientation to time as a guide to the presence and severity of cognitive impairment in older hospital patients.” Journal of Neurology, Neurosurgery & Psychiatry, 82(5), 500-504. https://pubmed.ncbi.nlm.nih.gov/20852313/

6.3 W3C Web Accessibility Initiative: https://www.w3.org/WAI/standards-guidelines/wcag/ — W3C. “Making Content Usable for People with Cognitive and Learning Disabilities.” https://www.w3.org/TR/coga-usable/

6.4 W3C. “Web Content Accessibility Guidelines (WCAG) 2.1.” W3C Recommendation. https://www.w3.org/TR/WCAG21/ — See also: W3C Web Accessibility Initiative. https://www.w3.org/WAI/standards-guidelines/wcag/

Chapter 7

7.1 Clark, A., & Chalmers, D. (1998). “The Extended Mind.” Analysis, 58(1), 7-19. — Hollan, J., Hutchins, E., & Kirsh, D. (2000). “Distributed Cognition.” ACM Transactions on CHI, 7(2), 174-196. — “Extending Minds with Generative AI.” Nature Communications (2025). https://www.nature.com/articles/s41467-025-59906-9 — Riedl et al. “AI’s Social Forcefield: Reshaping Distributed Cognition in Human-AI Teams.” arXiv:2407.17489 (2024). https://arxiv.org/html/2407.17489v2

7.2 OWASP. “OWASP Top 10 for Large Language Model Applications.” https://owasp.org/www-project-top-10-for-large-language-model-applications/

7.3 Siddiqui, I. et al. (2025). “Technological Folie a Deux: Feedback Loops Between AI Chatbots and Mental Illness.” arXiv:2507.19218. https://arxiv.org/abs/2507.19218

7.4 Ostergaard, S.D. (2026). “Have We Learned Nothing From the Global Social Media Experiment?” Acta Psychiatrica Scandinavica, 153(2). https://onlinelibrary.wiley.com/doi/10.1111/acps.70057

7.5 Olsen, J.S. et al. (2026). “Potentially Harmful Consequences of Artificial Intelligence (AI) Chatbot Use Among Patients With Mental Illness.” Acta Psychiatrica Scandinavica, 153(2). https://onlinelibrary.wiley.com/doi/10.1111/acps.70068

Chapter 8

(No endnotes.)

Chapter 9

9.1 Demiliani, C. (2025). “Understanding LLM Performance Degradation: A Deep Dive into Context Window Limits.” https://demiliani.com/2025/11/02/understanding-llm-performance-degradation-a-deep-dive-into-context-window-limits/ — “Large Language Models Hallucination: A Comprehensive Survey.” arXiv:2510.06265 (2025). https://arxiv.org/abs/2510.06265

Chapter 10

(No endnotes.)

Chapter 11

11.1 International Energy Agency. “Energy and AI: Energy Demand from AI.” IEA, 2025. https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai — Goldman Sachs Research. “AI is poised to drive 160% increase in data center power demand.” 2024. https://www.goldmansachs.com/insights/articles/AI-poised-to-drive-160-increase-in-power-demand — AKCP. “Data Center Water Usage Effectiveness (WUE).” 2021. https://www.akcp.com/index.php/2021/01/14/data-center-water-usage-effectiveness-wue/ — Visual Capitalist. “Mapped: U.S. States With the Most Data Centers in 2025.” December 2025. https://www.visualcapitalist.com/mapped-u-s-states-with-the-most-data-centers-in-2025/ — JLL. “North America Data Center Report Year-End 2025.” https://www.jll.com/en-us/newsroom/jll-north-america-data-center-report-year-end-2025 — Texas Tribune. Data center / ERCOT grid reporting, 2025-2026. https://www.texastribune.org/2026/01/20/texas-top-data-center-market-power-grid/ — Water Desk. “Data centers: a small but growing factor in Arizona’s water budget.” April 2025. https://waterdesk.org/2025/04/data-centers-a-small-but-growing-factor-in-arizonas-water-budget/

FAQ

F.1 Orwell, G., Nineteen Eighty‑Four, appendix, “The Principles of Newspeak” (London: Secker & Warburg, 1949). “Newspeak was designed not to extend but to diminish the range of thought…The grammar of Newspeak had two outstanding peculiarities. The first of these was an almost complete interchangeability between different parts of speech.”

F.2 AKCP. “Data Center Water Usage Effectiveness (WUE).” 2021. https://www.akcp.com/index.php/2021/01/14/data-center-water-usage-effectiveness-wue/

F.3 FisherMap. “Caesar Creek Lake, OH – Depth Map.” https://usa.fishermap.org/depth-map/caesar-creek-lake-oh/


AI Stability Framework (C) 2026 by Leonard Rojas. All Rights Reserved.