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 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/ — NHS: https://www.nhs.uk/conditions/dementia/symptoms-and-diagnosis/symptoms/

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

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

F.2 FisherMap. “Caesar Creek Lake, OH – Depth Map.” https://usa.fishermap.org/depth-map/caesar-creek-lake-oh/