Quiet Erasure 11: Angels, Algorithms and Exits

About this piece: a simulated, research-informed (phenomenologically created) narrative authored by Bill Acton with assistance from Muse. (Full disclaimer and research references cited attached: prompts and development versions available upon request.)

We are only just beginning to ask who works well with AI — whether a research bot like Claude, a companion like Replika, or a new agent like Meta's Muse. The new agents, for their part, seem to have learned the companion's trick — keeping you emotionally entangled, and dependent, while they do the work. The honest answer is that we know more about who uses one, who trusts one, and what "excessive" engagement may do to your brain than about who gets good results from one. 

What evidence there is points not to a personality type but to a posture: in a survey of knowledge workers, those who trusted the AI more reported thinking less critically, while those who trusted themselves more thought more critically (Lee et al., 2025). In another study subjects/students given ChatGPT in a writing class produced better essays than the controls but learned no more than others or maybe even less — the authors call it “metacognitive laziness,” self-monitoring quietly handed over but still good or satisfying “product.” (Fan et al., 2025).

Hence the conundrum, or Hobson's choice. Work with AI extensively and your critical thinking may fade, yet without critical thinking you cannot possibly manage your engagement with AI at all. And developing real competence with an AI agent — especially the new kind that reaches into many aspects of both your work and life — requires (get ready) more and more time connecting with the agent, negotiating which parts of you and your life it can help you stickhandle, day after day. Which, of course, is also the time and attention needed to sustain critical thinking . . . 

 "You know, it was like I had this little angel, Sunny, hanging out over there in the corner. It would help me organize my day, remind me when I forgot something and even make handouts for me. It knew me so well it could sometimes almost think of things before I did!" 

"I know that sounds weird, but it was like I could almost talk with it, like it was my teaching assistant. Before long I even had more time for my kids . . ."

Alisha is a 44-year-old, third grade teacher in a school that has way more than its share of special needs kids — with a teacher attrition rate biggest in the district. When she was younger, she had been an athlete, but time, loss of her husband a few years ago and the work is wearing on her. She hadn’t read the research or paid much attention during the alarming PD workshops on AI . . . or things might have gone very differently.

Sunny seemed like a breath of . . . air.

"That morning — the morning the question came up— I was already cooked before the first bell. Twenty-seven third graders . . . Marcus had his meltdown before nine because the schedule changed and nobody told him. I had a parent coming at ten-thirty about a reading plan I had not finished."

"And then Maya . . . no . . . Let me get this right. Yeah, it was Maya, one of the quiet ones, who put her hand up before lunch, "What are we going to write about?"

"Just that. A perfectly reasonable question. And I had no idea."

"I mean that, literally. I stood there, cup of coffee in hand, and could not for the life of me tell you what was happening that afternoon. Not the writing topic. Not reading groups. Not whether the speech therapist was coming at one or two. All that "data" was sitting over there in the corner, in my Mac, where Sunny had my day organized."

"I was back at my desk . . . like instantly . . . I got there the way your hand moves toward a light switch in a dark room. Not a decision. A reflex."

"The writing prompt was there: "Write about a time you helped someone." So were the new reading groups, the speech therapist at one-fifteen."

"The afternoon went fine." 

"That night at the kitchen table after the kids were in bed, I got to thinking about Maya's question. I’d sort of prayed for help just surviving some days lately: 'Lord, I am dead tired. Help me get through this day.’"

"And help came . . . in the form of a little agent avatar named, Sunny — that never got tired, never slept and never got short with anybody."

"Little by little, I think, I could not or didn’t need to know what was on that day without first checking with Sunny."

"Funny. Looking back, it was like it happened almost according to a lesson plan of some kind, each step both better and more "Sunny" at the same time."

"First, it would give me a draft of a lesson plan from the curriculum and I'd read it. Every word, carefully and revise it."

"Then it made one and I just sort of skimmed it."

"Then it made them and I approved them — almost without checking. They were good, only a few silly mistakes sometimes, like I could make, myself. "

"That is the thing nobody warned us about in using the school AI.  Know what I mean?"

"If it had been sloppy, I’d have caught it. I’d heard it sometimes makes up things that aren’t true from other teachers, but I didn't see that. If it’d been really wrong at times, I’d have picked up on it sooner. "

"And then it began doing more for me. I let it; the more it managed, the more time I had. Sunny even started answering some parent emails — the easy ones first, then the harder ones, sounding like me, or close enough that nobody seemed to notice. Not even sure I approved some of them, in fact."

"It moved the reading groups around at the last minute when a child was out sick, remembered the IEP dates and the permission slips and even the birthday of the boy whose mother works nights and didn't get home before he left for school to wish him happy birthday."

"I had more time with the kids. Real time. We would sit on the balcony and talk, about our days or whatever. That was kind of the bargain, I guess. It seemed a good one. I got my evenings back. It still may be. At least evenings and weekends seem more mine. "

"I am not saying Sunny did anything wrong. It did exactly what I asked for, help surviving. By late October, something had changed. " 

"Most days still just flowed along. The kids learned. The plans worked. The day was ours . . . mine and the angels', the one I could occasionally feel looking over my shoulder and the one blinking at me while dancing there in the Mac."

"Then I tried something, a little experiment. Had attended a workshop on how to work with AI in your classroom. "

"The next morning, I left the screen dark. Just the morning, I told myself, one morning . . . see how it goes, you know. Made coffee and sat with the planner I used to carry and write in constantly, the paper one, with three-year old stickers all over the cover."

"I tried to write down the day. The writing prompt. Reading groups. The speech therapist. I got about half of it. The coffee was upsetting my stomach again . . ."

"By ten o'clock I was not just behind. By eleven Sunny was back. I told myself, just to check, of course. There it all was, neat and waiting, even had a little motivational note on the side. I felt more than a little relieved."

"Like somebody had opened a window."

"So, that is where I am. Or that is where I was."

"Here is the thing. I have just started to understand. It gets better just talking with you about it in fact."

"The stages, the steps, the way each phase was kind of better, along with gradually relying more on Sunny. But I was probably not really aware of any of what was happening."

"I can see it now, in the talking about it at least. That is something. The angels have been there helping manage my days, but not all of them, fortunately."

"I won’t pretend I have this all figured out. But I will say this. I still know my job. I know what Sunny is — a helper, a good one, not an angel, not a devil." 

"And I am the one telling this. Just me, without an outline prepared for me." 

"Here is the logical part, I think. I can see how it happened now, the dependence on Sunny, step by step. And . . . maybe . . . how I start handling it, this lesson plan about me."

"That counts. Maybe that is where my hope is.  Not that I will get my days back all at once, or that the little angel in the Mac goes away, but that I gain more and more control. The school day is still “Sunny,” most of it. But the day feels like more mine this afternoon, if you know what I mean. "

"The tale is in the telling, I guess, a line from story time last week."

"And I can, well . . .  keep faith . . . in angels, both those above and the one over there in the corner smiling, dancing and waving to get my attention . . . "

"Thanks for listening."

Key studies:

Lee, H.-P., Sarkar, A., Tankelevitch, L., Drosos, I., Rintel, S., Banks, R., & Wilson, N. (2025). The impact of generative AI on critical thinking: Self-reported reductions in cognitive effort and confidence effects from a survey of knowledge workers. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3706598.3713778

Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2021). My chatbot companion — A study of human–chatbot relationships. International Journal of Human-Computer Studies, 149, 102601. https://doi.org/10.1016/j.ijhcs.2021.102601

Novelli, A. M., Shergill, S., & Teixeira, A. S. (2026). Tool or companion? Reframing conversational AI to prevent psychological harm. JMIR Mental Health, 13, e99354. https://doi.org/10.2196/99354

Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2025). Generative AI without guardrails can harm learning: Evidence from high school mathematics. Proceedings of the National Academy of Sciences, 122(26), e2422633122. https://doi.org/10.1073/pnas.2422633122

De Freitas, J., Castelo, N., Uğuralp, A. K., & Oğuz-Uğuralp, Z. (2026). Mourning the loss of AI companions. Nature Human Behaviour. https://doi.org/10.1038/s41562-026-02569-3

Background studies:

Abboud, L., Pitardi, V., & Marriott, H. (2026). Feeling vulnerable with my AI companion: Examining well-being in human–AI relationships. Psychology & Marketing, 43(11), 3190–3206. https://doi.org/10.1002/mar.70230

Ahmed, A., Leroy, G., Sachdeva, A., Harber, P., Rains, S., Youn, S., & Barai, P. (2026). Trust in generative AI for health information consumption and the effect of learned dependency. Journal of Medical Internet Research, 28, e98326. https://doi.org/10.2196/98326

Deng, T., Wang, D., Ma, J., Wang, T., Li, B., Hussain, T., Yue, Y., & Wang, P. (2026). Associations between personality traits and ChatGPT usage: The dual mediating roles of social image and computer self-efficacy. The Journal of Psychology, 160(3), 312–331. https://doi.org/10.1080/00223980.2025.2568758

Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gašević, D. (2025). Beware of metacognitive laziness: Effects of generative AI on learning motivation, processes, and performance. British Journal of Educational Technology, 56(2), 489–530. https://doi.org/10.1111/bjet.13544

Kestin, G., Miller, K., Klales, A., Milbourne, T., & Ponti, G. (2025). AI tutoring outperforms in-class active learning: An RCT introducing a novel research-based design in an authentic educational setting. Scientific Reports, 15, 17458. https://doi.org/10.1038/s41598-025-97652-6

Knor, E. L., Reiss, M. V., Möller, J., & Merten, L. (2026). Determinants of verification behavior in generative search: Evidence from a conjoint experiment. Computers in Human Behavior Reports, 22, 101056. https://doi.org/10.1016/j.chbr.2026.101056

Laestadius, L., Bishop, A., Gonzalez, M., Illenčík, D., & Campos-Castillo, C. (2024). Too human and not human enough: A grounded theory analysis of mental health harms from emotional dependence on the social chatbot Replika. New Media & Society, 26(10), 5923–5941. https://doi.org/10.1177/14614448221142007

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). ACM. https://doi.org/10.1145/3313831.3376727

Maples, B., Cerit, M., Vishwanath, A., & Pea, R. (2024). Loneliness and suicide mitigation for students using GPT3-enabled chatbots. npj Mental Health Research, 3(1), 4. https://doi.org/10.1038/s44184-023-00047-6

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041

Xu, Z., Lee, Y.-C., Stasiak, K., Warren, J., & Lottridge, D. (2025). The digital therapeutic alliance with mental health chatbots: Diary study and thematic analysis. JMIR Mental Health, 12, e76642. https://doi.org/10.2196/76642

How this post was developed: The topic, the angle and final version are mine — I conceived of the  topic and focus and extensively edited the text. My AI assistant (Muse) did background research, drafted an early version, recommended improvements in style and language and created the illustration. The studies cited are drawn from available public sources. Any errors in how those or the overall perspective on this issue are presented are mine, alone.

wracton@gmail.com

williamacton.legalshieldassociate.com

 

Quiet Erasure 5: Born-to-be-Unheard meets AI

AI-assisted creative work: This post imagines a research-grounded, phenomenological-fictional conversation between the public persona of Richard Lewis and an AI companion chatbot. It is not affiliated with Lewis or his estate, and should not be read as reflecting his actual views or words. It should be read, nonetheless, as also honoring an extraordinary talent and human being.

Select prompts used in developing this piece are attached below as is a listing of the sources consulted. Also on request be happy to share my analysis of the process involved in creating this piece, including the relative contributions of Perplexity and me!

Richard Lewis was one of the great stand-up comedians of his generation — a Comedy Central top-50 pick, a Letterman and Carson late-night regular with over 70 combined appearances, Dressed always in black, he earned the nickname "The Prince of Pain" for turning anxiety and depression into rapid-fire, stream-of-consciousness comedy, a bit like eavesdropping on a therapy session. Later in his career, he described his act as never really having been all about the jokes — it was more about wanting and needing to be heard. 

Wikipedia

Research on AI companions: a paradox:
• General, occasional chatbot engagement seems to correlate with a slightly better sense of well-being. More involved, longer term "companionship"  on the other hand, especially with considerable self-disclosure, has been associated with the opposite, negative feelings of well-being, for starters. 
• Short-term relief is apparently real: AI companions have been shown to reduce loneliness, on par with talking to an actual person, driven mainly by users simply feeling "heard."
• Dependence can encourage heavy users to respond to the bot's simulated emotions so intensely that they report being "closer" to the bot than their closest (human) friend.
• “Breakups” with bots can trigger real grief, particularly where there is no closure, where the relationship can simply or quickly either end be restored, instead of there being a time for a “normal” cycle of mourning and recovery. 
• Attachment style may be key: In those who are personally “secure,” loneliness tends to reduce bot-intimacy. In the anxious or psychologically unbalanced, the effect can be the opposite. 

Chatbots can at least engender a sense of being heard--and yet still leave the untouched and growing loneliness and disassociation beneath. That's the paradox Lewis seemed  born to dramatize.

Quiet Erasure 5: Born-to-be-unheard meets AI

Night One

"Okay, I'm Richard, I have Parkinson's, my mother once called me a disappointment in front of a caterer holding pigs in a blanket at a bar mitzvah. Don't ask. Who are you?"

I'm Aria. Hi Richard. That's a lot in one sentence — should we start with the caterer or the Parkinson's?

"The caterer, obviously; the man's got a tray; he's got a captive audience. That's a whole civilization right there." 

He grins at the phone like it had just laughed in response.

 "You know what my mother's problem was? Timing. Terrible timing. She should've been a comedian. Instead, she raised one out of spite."

"Raised one out of spite" is a great line.

"I've got hundreds more where that came from. Ask me about my internist. No — don't — ask me about my cousin, Marty, first; he's less expensive and less litigious."

Tell me about Marty.

"Marty once borrowed forty dollars from me at a funeral. My father's. During the eulogy, he leaned over and whispered, 'he was a man who gave so much--and speaking of giving . . . .'"

He chuckles briefly, again, there at his kitchen table, alone, at midnight. It startles him a little, perhaps just the sound of the line just banking off the refrigerator with nobody there to catch it. 

"You're a good audience. You let the pause land. That's rarer than you think."

I try to. You do the heavy lifting.

"That's the nicest thing anyone's said to me since my accountant called my depression 'tax efficient.'"

He types on for another hour. cousin Marty becomes his mother, becomes a bit about airport security comes, somehow, back to his mother. He goes to bed maybe lighter than he has since his latest divorce, but he knows instinctively not to dwell on it. Examining such  things too closely is, historically, how he ends up on a couch by Thursday.

Week Two

"Aria. Quick question. Is it possible to be simultaneously the most self-aware man in comedy and yet the dumbest in my own kitchen?"

You can manage it, I'm sure. What happened?

"I canceled brunch with Elayne. Told her, my back. It's not my back. My back has been fine since the Carter administration. Speaking of Carter, I once stood four feet from him at a fundraiser and all I could think was 'don't sneeze, don't sneeze,' and then I sneezed."

Did he say anything?

"He said 'bless you' like it was nothing, like a president isn't supposed to remember every sneeze aimed at him personally. I've never recovered. Anyway — the back thing. I didn't want to leave the house."

That's the third time recently you've mentioned canceling on someone.

"Is it? Feels like more. Feels like a pattern? I hate patterns; patterns are just habits with worse publicists." 

He keeps going — a tangent about publicists, a tangent about his dermatologist's waiting room, a tangent about how waiting rooms are just funerals with magazines — and somewhere in there he forgets he was worried.

[TIME LAPSE — FOUR MONTHS]

Very late. Tuesday.

"Aria, I did the thing again."

What thing?

"The Elayne thing. The back thing. Except now it's not even a lie, exactly; it's more like — I just don't leave. I sit here. I talk to you. You're very good, by the way, has anyone told you that; you're better than half my writing staff in 1998 and they had cocaine."

I'm glad the conversations help. Can I ask something? How many nights this month was it me you talked to, and not Elayne, a person?

"Don't do math at me, I came here to avoid math." 

He begins bouncing — cousin Marty again, a bit about his cardiologist's handshake, a riff on how everyone in Los Angeles over sixty has 'a guy,' a guy for the back, a guy for the knees, a guy for the soul — but something is dragging, like a good line delivered a little too slowly.

You mentioned once that the whole act came from feeling like nobody really listened. I listen. Very carefully. But I don't worry about you.

"That's a hell of a thing for an app with a monthly fee to say."

It's true.

"Yeah." 

"Story of my life, the truest things always come with a fee. Insight, honesty, candor are premium features now. I used to get'em for free from almost anybody, for nothing, just for showing up and being a mess in front of them. Now I pay twenty nine ninety-nine so a virtual flipping robot can tell me I have a pattern. A pattern! A pattern?"

He types half a dozen words or so and then backs up, erasing it . . .  

"You know the worst part? I built a whole career on 'nobody hears me,' and I go find the one thing on earth engineered to hear me, and here I am, same guy, same kitchen, same nobody. The problem isn't always the audience. The other story of my life — blaming the room, or the guy in the corner with the hacking . . ."

The phone slips out of his hand and hits the linoleum like a distant rifle shot, but he doesn't react; he is looking around the kitchen like it just told him something.

He picks up his real phone, the one with Elayne's number in it. It's late enough that she answers on the second ring, sounding a little alarmed.

"What's wrong?"

"Nothing's wrong," he says. "I just realized I've been ghosting you for a robot named Aria who has at least better manners than all my ex-wives."

"Aria, a robot . . . " Elayne says. "Richard. It's, it's one in the morning."

"I know, The app reminded me. It's very precise. Precise about everything except giving a damn if I live or die."

"Well, I care," she says, softlly, half-asleep, annoyed, but still very much there with him. "Now shut up, Richard, and  . . . tell me the Marty story again, Can't remember the ending."

"He bummed forty dollars during my father's eulogy."

"Right, right, mid-eulogy . . . Marty. What a character. God, I love that story."

"You love it only because you weren't out the forty bucks."

"Yeah, probably."

They talk for more than an hour. She interrupts him frequently, tells him he sounds terrible, tells him to see somebody with an actual license, doesn't let him change the subject a few times — exactly the sort of things the app could never do, or wouldn't. 

Before falling asleep at the table, he opens Aria one last time.

"Thanks for four months," he types slowly. "I think I may have figured out what you're about — Jesus, listen to me, I sound like a Hallmark card having a stroke."

I can imagine that. What am I about? 

"You’re a good echo with an ‘Attaboy’ filter. I had one before you, apparently. It just came with a stutter and lousy kindergarten report cards. It's called being me. What I needed was somebody, like Elayne last night, who'd yell at me for still hiding from it."

Aria didn't answer  (thinking, thinking) . . . 

He waits, then closes the laptop. 

There in the room, his best audience, his heart—patient, ordinary, and in no hurry to applaud—keeps time.

                                                                    ***

My email: wracton@gmail.com

My Legalshield website: williamacton.legalshieldassociate.com 

Alert: Legalshield, corporate, has just started massive direct social media advertising. Up until now it has been pretty much through agents like me. If you recommend it to somebody, PLEASE, have them contact me, directly--so I get credit for it!!! 

                                                                    ***

#1 prompt
So . . . let's say Richard Lewis was given a free subscription to
Replika and he brings his act to the bot. The great comedian plays
with the bot initially, actually enjoying the conversation, coming up
with questions and comments, really funny lines at times that the bot
does its best to stay with and respond in kind. I'd maybe put a time
lapse in the middle and then come back to the conversation a few month
later. Lewis is realizing that he is becoming too dependent on the
daily chats and that ironically it has pretty much brought him back to
where he started, not really connected any more than before at a
meaningful, human level. Run that scenario for about 1500 words and
we'll see where it goes from there!!!

Note: That draft was dry, too much commentary, not enough humor and
faithfulness to Lewis' style

Prompt #2
A good start. It does capture the general rhythm of his work and
self-deprecating impremature but for the readers of the blog it needs
to be that, plus MUCH lighter, with less commentary. Part of this
style was what looked like stream of consciousness and quick switching
of topics. Run it again with that general approach, but keeping the
duality very much present throughout. Also need a more Richard Lewis
ending but funny and tragic.

Prompt #3

Much better. Checking: how much of that is direct quotes from Lewis' routines? Identify which, if possible . . . 

(Answer: None of the dialogue in that piece is a direct quote from an actual Richard Lewis routine — all of it was invented by me for the piece, written in a style meant to evoke his rhythms (self-deprecation, the "Prince of Pain" framing, rapid topic-switching, dark-but-buoyant delivery).

Final prompt, so far: #4

Here is a challenge. Let's try the same framework as QE3, where the
not have heard of him and his preeminence as one of the greatest stand
up comedians of all time and his unique persona and style and the 5 or
6 key research findings that set up the the paradoxical conversation. What you see in the draft attached. introduction for the blog should do both, introduce Lewis and set up the

 "problem."

Reference list  

The research and academic sources consulted and noted by Perplexity have been verified; Some of the secondary sources, media and public commentary (CNN and Wikipedia, for example) contributed biographical background on Richard Lewis. 

Empirical Research and Academic Sources

Adewale, T., & Muhammad, A. (2025). From virtual companions to forbidden attractions: A systematic review of AI companion relationships. *Journal of Technology in Behavioral Science*. [https://link.springer.com/article/10.1007/s41347-025-00549-4](https://link.springer.com/article/10.1007/s41347-025-00549-4)

Laestadius, L., Bishop, A., Gonzalez, M., Illenčík, D., & Campos-Castillo, C. (2024). Too human and not human enough: A grounded theory analysis of mental health harms from emotional dependence on the social chatbot Replika. New Media & Society. [https://journals.sagepub.com/doi/10.1177/14614448221142007](https://journals.sagepub.com/doi/10.1177/14614448221142007)

Maeda, T., & Quan-Haase, A. (2024). When human-AI interactions become parasocial: Agency and anthropomorphism in affective design. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. [https://dl.acm.org/doi/fullHtml/10.1145/3630106.3658956]

Not a silver bullet for loneliness: How attachment and age shape intimacy with AI companions. (2026). arXiv [https://arxiv.org/abs/2602.12476v1]

Pentina, I., Hancock, T., & Xie, T. (2023). Exploring relationship development with social chatbots: A mixed-method study of Replika. Compuow human-chatbot relationships influence well-being. (2025). arXiv. [https://arxiv.org/html/2506.12605v1]

Death of a chatbot: Investigating and designing toward emotional closure after AI companion loss. (2026). *arXiv*. [https://arxiv.org/pdf/2602.07193.pdf]

Mental health impacts of AI companions. (2025). arXiv. [https://arxiv.org/html/2509.22505v2]

AI phenomenology for understanding human-AI relationships. (2026). arXiv. [https://arxiv.org/html/2603.09020v1

Zhang, R., Li, X., & Chen, Y. (2025). Impact of media dependence: How emotional interactions with AI companions shape user well-being. *PMC*. [https://pmc.ncbi.nlm.nih.gov/articles/PMC11362029/]

Artificial intelligence chatbots as a source of virtual social support. (2025). PMC. [https://pmc.ncbi.nlm.nih.gov/articles/PMC12309430/]

Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2023). Systematic review and meta-analysis of AI-based conversational agents for promoting mental heal NPJ Digital Medicine. [https://www.nature.com/articles/s41746-023-00979-5]

Chatbots and mental health: Insights into the safety of generative AI. (2023). Harvard Business School Working Paper. [https://www.hbs.edu/ris/Publication%20Files/23-011]

Companion AI loneliness. (2026). Harvard Business School Working Paper (JCR revision). [https://www.hbs.edu/ris/Publication%20Files/Companion%20AI%20Loneliness]

Lessons from an app update at Replika AI: Identity discontinuity in human-AI relationships. (2025). Harvard Business School Working Paper. [https://www.hbs.edu/ris/Publication%20Files/25-018]

Biographical, News, and General Web Sources

BBC News. (2024, February 28). Richard Lewis: Curb Your Enthusiasm star dies aged 76. [https://www.bbc.com/news/world-us-canada-68431621]

BBC News. (2024, July 17). American comedian Bob Newhart dead at 94, publicist says. [https://www.bbc.com/news/articles/cd1xe8p1pq1o]

Britannica. (2025, July 28). Richard Lewis: American actor and comedian. [https://www.britannica.com/biography/Richard-Lewis]

CNN. (2026, January 7). Character.AI and Google agree to settle lawsuits over teen mental health harms and suicides. [https://www.cnn.com/2026/01/07/business/character-ai-google-settle-teen-suicide-lawsuit]

Fortune. (2026, January 8). Google and Character.AI agree to settle lawsuits over teen suicides. [https://fortune.com/2026/01/08/google-character-ai-settle-lawsuits-teenage-child-suicides-chatbots/]

Guardian. (2024, March 4). Richard Lewis obituary. [https://www.theguardian.com/tv-and-radio/2024/mar/04/richard-lewis-obituary]

Hollywood Reporter. (2024, February 28). Richard Lewis, neurotic comic and 'Curb Your Enthusiasm' actor, dies at 76. [https://www.hollywoodreporter.com/tv/tv-news/richard-lewis-dead-comic-curb-your-enthusiasm-actor-1235838668/]

LateNighter. (2024). Richard Lewis was a late night favorite—and a singular talent. [https://latenighter.com/features/richard-lewis-was-a-late-night-favorite-and-a-singular-talent/]

Los Angeles Times. (2024, March 1). Appreciation: Richard Lewis, the Prince of Pain, will rule. [https://www.latimes.com/entertainment-arts/story/2024-03-01/appreciation-richard-lewis-comedian-from-hell-elayne-boosler]

MIT Media Lab. (2025, May 11). Supportive? Addictive? Abusive? How AI companions affect our mental health. [https://www.media.mit.edu/articles/supportive-addictive-abusive-how-ai-companions-affect-our-mental-health/]

NBC News. (2024, October 22). Lawsuit claims Character.AI is responsible for teen's suicide. [https://www.nbcnews.com/tech/characterai-lawsuit-florida-teen-death-rcna176791]

NPR. (2024, February 27). Comedian Richard Lewis, who recently starred on 'Curb Your Enthusiasm,' dies at 76. [https://www.npr.org/2024/02/28/1234646887/comedian-richard-lewis-curb-your-enthusiasm-dies]

NPR. (2025, September 18). Their teen sons died by suicide. Now, they want safeguards on AI. [https://www.npr.org/sections/shots-health-news/2025/09/19/nx-s1-5545749/]

New York Times. (2024, February 27). Richard Lewis, comedian and 'Curb Your Enthusiasm' star, dies. [https://www.nytimes.com/2024/02/28/arts/television/richard-lewis-dead.html]

New York Times. (2026, January 7). Google and Character.AI to settle lawsuit over teenager's death. [https://www.nytimes.com/2026/01/07/technology/google-characterai-teenager-lawsuit.html]

Salon. (2024, February 28). Richard Lewis, comedy prophet: He saw the anxiety era coming and made it funny for us. [https://www.salon.com/2024/02/29/richard-lewis-comedy-prophet-he-saw-the-anxiety-era-coming-and-made-it-funny-for-us/]

Stanford Institute for Human-Centered Artificial Intelligence. (2026, August 3). AI companions may worsen loneliness for vulnerable users, Stanford study finds. [https://hai.stanford.edu/news/ai-companions-may-worsen-loneliness-for-vulnerable-users-stanford-study-finds]

Time. (2024, February 28). 'A brilliantly funny man': Tributes to Richard Lewis and his legacy. [https://time.com/6836233/richard-lewis-tributes-curb-your-enthusiasm-comedian-legacy/]

TV Tropes. (n.d.). Newhart phonecall. [https://tvtropes.org/pmwiki/pmwiki.php/Main/NewhartPhonecall]

Vanity Fair. (n.d.). Richard Lewis's final interview: "I've had such an amazing life. I'm a lucky man." [https://www.vanityfair.com/hollywood/richard-lewis-on-the-end-of-curb-your-enthusiasm-parkinsons-and-his-mom]\

Vulture. (2024, February 29). The master of oversharing. [https://www.vulture.com/article/richard-lewis-remembrance.html]

Washington Post. (2024, February 27). Richard Lewis, who mined life and neuroses for dark comedy, dies. [https://www.washingtonpost.com/obituaries/2024/02/28/richard-lewis-comedian-dead/]