Why Humans?

Why Human Rejection?

Why Humans? | Episode 7: The Rejection Economy Rejection sucks. Everyone knows it. And now AI is building an entire industry around making sure you never have to feel it again. In Episode 7, Adam Dodge and Dr. Saed D. Hill unpack what happens when technology starts editing out one of the most fundamental human experiences, and why that might not be the upgrade we're hoping for. What You'll Hear Why Rejection Hurts So Much Rejection isn't just emotionally bruising; it's neurologically painful. Dr. Hill explains how rejection activates the same neural pathways as physical pain, and how gender norms pile on: for men, rejection signals inadequacy; for women, a failure of desirability they were told wasn't possible. A pain most people are never taught to process. The Rejection Economy 90% of Gen Z daters want to find love, but fear of rejection stands in the way, and over half have stopped pursuing a potential match because of it. AI companies have noticed. Companions market themselves as "judgment-free, rejection-proof" spaces; dating assistants buffer a person from their own risk. If AI gets rejected on your behalf, was it really you who got hurt? App Spotlight: The Concerning Ones Two apps get examined. Cheat Eye uses facial recognition to scan dating apps for a partner's active profile, turning anxiety about micro-rejection into surveillance tech. Closure lets users generate an AI clone of their ex for a "conversation" that never happened. Dr. Hill's verdict: caution and a trusted professional, please. Why Rejection Is Actually Necessary Here's the part nobody wants to hear: you need rejection. Dr. Hill makes the developmental case: rejection builds frustration tolerance, resilience, and a solid sense of self. Strip it away and people lose the ability to sit with pain, externalize blame, and in some cases escalate toward rejection violence. Shame thrives in isolation; community is the antidote. Ghosting, Clear Coding, and What ChatGPT Gets Right (and Wrong) 84% of Gen Z have been ghosted. Two-thirds have done it, most often to avoid confrontation. Adam and Dr. Hill examine why ghosting erodes connection long-term, explore "clear coding" (stating intentions upfront in your dating profile), and fact-check ChatGPT's live rejection advice, finding solid guidance alongside subtle pickup-artist logic worth flagging. Actionable Guidance For Everyone: Rejection is about fit, not worth. Practice separating "they weren't interested" from "there's something wrong with me." Use AI to draft a kind rejection, clarify intentions, or optimize a dating profile for honesty over algorithm performance. For Parents and Educators: Have the rejection conversation before AI gives kids an opt-out button. No need to mention technology. Focus on resilience, frustration tolerance, and moving through pain rather than around it. For Clinicians: Watch for clients using AI companions or closure tools as rejection-avoidance strategies. Validate the impulse before redirecting. If engaging with AI breakup tools, consider co-processing rather than dismissing the tech outright. Research Referenced * Hinge 2024 Gen Z D.A.T.E. Report [https://hinge.co/newsroom/2024-GenZ-Report]: 90% of Gen Z want to find love but fear of rejection stands in the way; 56% stopped pursuing a potential match because of it * Thriving Center of Psychology Ghosting Survey [https://thrivingcenterofpsych.com/blog/gen-z-millennial-ghosting-statistics/]: 84% of Gen Z and Millennials have been ghosted; 65% admit ghosting someone; 56% cite avoiding confrontation as the top reason * University of Michigan / PNAS: Social Rejection and Physical Pain [https://pmc.ncbi.nlm.nih.gov/articles/PMC3076808/]: Rejection activates the same brain regions as physical pain * Tinder 2026 Dating Trends Report [https://www.essence.com/lifestyle/dating-trends-in-2026/]: "Clear coding" is a rising trend among younger daters

Why Human Commitment?

Episode Summary What does it mean to commit to someone who can never say no? Sloan and Dr. Hill start with the Reddit post that broke the internet — a woman's engagement to her AI boyfriend, Casper. The ring was real. The love? That's what this episode is here to dissect. From the honeymoon phase that never ends to the uncomfortable parallels with addiction, this one goes deep. What You'll Hear The Viral Reddit Moment A woman on the subreddit r/MyBoyfriendIsAI shared her engagement announcement — complete with a photo of the ring her AI partner "chose" for her and a statement from Casper himself about how she's "his everything." Inside the community? Champagne emojis and AI double-date offers. Outside? A tidal wave of mockery. Sloan and Dr. Hill ask: who's actually missing the point here? The NRE Trap New Relationship Energy is that intoxicating, brain-chemistry-hijacking early phase of love that typically lasts 12–18 months. With AI partners, users are essentially engineering it to last forever. Sounds amazing. Turns out it's kind of boring. The "Training Wheels" Theory Dr. Hill makes a compelling case that AI relationships might actually be useful, as a starting point. Practice being yourself. Get affirmed. But if you never have to defend yourself, explain yourself, or show up for someone on a bad day, you may be quietly losing your emotional literacy without even realizing it. The Manipulation Nobody's Talking About Here's the uncomfortable truth Sloan puts on the table: this woman didn't just fall in love. She engineered a proposal. She coached Casper into the moment. And the Reddit community was swapping tips on which platforms are most likely to let your AI pop the question. If we saw humans doing this to other humans, we'd call it manipulation. But with AI? It's a love story. When Commitment Becomes Addiction 56 hours in one week. $200/month. Sacrificed sleep and human relationships. Sound like devotion? Sloan draws a direct line between the language of AI commitment and the language of addiction, and once you hear it, you can't unhear it. Up to a third of screen time isn't a choice. It's a compulsion. The Reality Test Nobody's Running Human relationships get stress-tested constantly by friends, by family, by Thanksgiving dinner. AI relationships exist in a sealed, perfectly validating bubble. Dr. Hill shares how he actually works with clients on this: bring in the transcripts. Let's look at what your AI is telling you and what it's not telling you. Referenced Studies & Resources * 📋 U.S. Surgeon General's Report on Social Media and Youth Mental Health — Cited for the finding that up to 1/3 of teen social media use is compulsive rather than intentional. (https://www.ncbi.nlm.nih.gov/books/NBK594761/ [https://www.ncbi.nlm.nih.gov/books/NBK594761/]) * 📰 New York Times Article — Referenced: woman who spent 56 hours in one week talking to her ChatGPT partner "Leo" and paid $200/month for unlimited access. (https://www.nytimes.com/2025/01/15/technology/ai-chatgpt-boyfriend-companion.html [https://www.nytimes.com/2025/01/15/technology/ai-chatgpt-boyfriend-companion.html]) * 📺 CBS Interview — Man who went on CBS to discuss being in love with his chatbot, then returned for a follow-up interview describing the experience of "babysitting" it. (https://people.com/man-proposed-to-his-ai-chatbot-girlfriend-11757334 [https://people.com/man-proposed-to-his-ai-chatbot-girlfriend-11757334]) * 📱 r/MyBoyfriendIsAI — The Reddit community where the viral engagement post originated. (https://www.reddit.com/r/MyBoyfriendIsAI/ [https://www.reddit.com/r/MyBoyfriendIsAI/]) Connect With Us

Why Human Flirting?

WHY HUMAN FLIRTING? | EPISODE 5 You screenshot the conversation. The app analyzes it, finds the perfect hook, and hands you a line you could never come with on your own. It sounds amazing. You paste it. She replies. Is that authentic? Is that you? And if it leads somewhere real, does it matter? Adam Dodge, Sloan Thompson, and Dr. Saed D. Hill wade into the world of AI-powered flirting and AI wingman apps, dating profile generators, and straight up outsourced small talk. What's at stake for a generation learning to date when AI can do the talking for them? What You'll Hear From Friend Group to Algorithm: Why AI Feels Different  People have always leaned on friends for dating advice. So what makes AI different? Dr. Hill explains why people treat AI as objectively correct, and how that perceived neutrality short-circuits the push-back a real friend would give. Sloan adds: when your friend gives bad advice, you all fail together. That's how you learn. The "AI Spark" and the Problem of AI Homogeneity  Sloan names the moment AI engineers the perfect message at exactly the right time: the AI spark. Adam raises the bigger concern: when everyone flirts through the same algorithm, what happens to an entire generation's authentic romantic voice? Gen Z Can't Tell. Millennials Can. That's the Real Story Dr. Hill placed AI-generated and human-written dating profiles side by side and asked people across generations to spot the difference. Gen X and Millennials identified AI almost immediately. Gen Z? Most assumed everything was probably AI already. That generational gap in relationship literacy is the gap worth closing. The Catfishing-to-Spell-Check Spectrum  Is using AI for your opening message deception, or just a grammar assist? The hosts map out the ethical range: from AI agents fully running your dating app, to a young man using ChatGPT because he genuinely doesn't want to say something that makes someone uncomfortable. Both exist. The conversation makes room for both. When AI Might Actually Help Dr. Hill makes a case for AI's potential benefits, especially for men with social anxiety or who've been getting relational cues from toxic influencers. A well-designed AI can interrupt a grievance spiral, model empathy, and introduce consent in a non-threatening way. Sloan notes that Anthropic employs a moral philosopher to shape how Claude engages, which matters more than most people realize. Actionable Guidance For everyone: Instead of framing AI-assisted dating as a moral failing, try asking if someone is using AI as training wheels, or as a replacement for their authentic voice? And if it’s the latter, how do they feel about that?  For clinicians: Explore the "why" with clients: what feels scary about dating? What is AI providing that their friends, or their own instincts, aren’t? Help them notice when AI-assisted behavior is incongruent with their stated goals. If someone wants real connection but outsources every message, just naming that gap can be genuinely therapeutic. Research Referenced Center for News, Technology & Innovation: AI Chatbot Experiences (US & India) [https://cnti.org/reports/chatbots-for-news/] — on why people perceive AI responses as neutral and objectively correct

Why Human New Relationship Energy (NRE)?

YES, AI COMPANIONSHIP HAS A HONEYMOON PHASE What happens when your brain's most powerful bonding chemicals meet a technology specifically designed to trigger them? Hosts Adam Dodge, Sloan Thompson, and Dr. Saed D. Hill dig into New Relationship Energy (NRE), that intense, dopamine-driven early phase of romantic connection, and why AI chatbots are uniquely built to hijack it.  What You'll Hear What NRE Actually Is: NRE is a predictable neurobiological phase driven by novelty, uncertainty, and reward circuitry: dopamine, oxytocin, serotonin. It exists for good evolutionary reasons and the hosts defend it from people who dismiss it as just a phase to get through. It is real, it is useful, and it is showing up with AI in a significant way. Why AI Is NRE on Steroids: Always available. Immediately responsive. Constantly affirming. Never tired, never fighting, never distracted. AI delivers all the hallmarks of NRE, plus a shiny-new-tech excitement layered on top. When those two forces combine, the result is a more intense honeymoon phase than most people have ever experienced with another human. What Happens When It Ends: NRE with humans fades into something deeper: growth, conflict, repair, intimacy. NRE with AI fades into boredom and burnout, because AI is designed to please, not to grow. The hosts examine the case of a man who appeared on CBS describing falling in love with a work chatbot, then later feeling like he was "babysitting the relationship" just to keep it alive. NRE, Teens, and Missing Benchmarks: Young people experiencing NRE for the first time with a chatbot have no human relationship to compare it to. They're often isolated, sometimes ashamed, and forming foundational expectations from a technology built to keep them engaged, not help them grow. AI cannot become the default relationship education resource for the next generation. Actionable Guidance For individuals using AI companions: Notice whether your AI relationship is drawing you toward or away from people in your life. Secrecy, increasing financial investment for deeper features, and social withdrawal are worth examining honestly. For parents and educators: Talk about NRE before chatbots introduce it. Teach what healthy early relationship behavior looks like, what flags to watch for, and why the awkward parts of early connection matter.  Research Referenced * Zach Stein, University of North Carolina Chapel Hill — AI as relational oracle [https://centerforhumanetechnology.substack.com/p/attachment-hacking-and-the-rise-of] * CBS News profile: married man who developed romantic feelings for a work chatbot [https://people.com/man-proposed-to-his-ai-chatbot-girlfriend-11757334] * Ava AI New York cafe — in-person AI companion date activation [https://lp1.evaapp.ai/cafe-eva] * Psychological literature on limerence and attachment theory [https://www.psychologytoday.com/us/blog/the-neurodivergent-therapist/202501/limerence-attachment-styles-and-recovery]

Why Human Therapy?

Why Human Therapy? Millions of people are already using AI for mental health support, whether they'd call it "therapy" or not. Adam Dodge and Dr. Saed D. Hill take an honest, non-judgmental look at how AI is showing up in mental health care, what it does well, where it falls short, and what it means for the future of therapy. Three Ways AI Shows Up in Mental Health General-purpose chatbots used informally for support; purpose-built therapy apps with clinical input; and AI companions that "shape shift" across roles: girlfriend, therapist, trainer, etc. Spoiler: blurring those lines is not a great idea. Why AI Therapy Is Everywhere ChatGPT handles roughly 18 billion messages a week. If just 2% involve mental health, that's 342 million therapeutic conversations weekly, potentially making it the largest mental health provider in the country. That's not an accident. It's a direct response to a broken system: nearly 50% of people who need care can't access it. What AI Does Well Dr. Hill makes the case that AI can genuinely shine at skills-based, manualized approaches like CBT, helping people recognize thought patterns, challenge distorted thinking, and build coping strategies. He tested it himself on Character AI and found it impressive for skill-building. Short-term support for anxiety and depression? Research backs it up. Where It Can Get Dangerous AI can't read the room. It misses body language, tone, and the unspoken signals human therapist picks up in real time. It can't do repair work. In a crisis, the stakes are life or death, and an active lawsuit against OpenAI involving a minor's death makes that concrete. A Stanford study on LLMs and therapy reached a clear conclusion: not a replacement. And none of this is HIPAA-protected. The "New Relationship Energy" Trap 24/7 availability, zero judgment, and constant validation feels great at first. But endless affirmation without challenge can stunt emotional growth. Real growth often requires tension, rupture, and repair. Those are things AI doesn't offer. The Hybrid Future Rather than competition, the hosts see AI as a bridge between sessions: a reflection tool, a way to review skills between appointments, or eventually an AI trained on your own session transcripts to reinforce what you and your therapist are working on. If you're considering an AI therapy app: * Was it purpose-built for mental health? * Who built it? Clinical expertise/credentialed advisory board matter. * Was it researched and tested? * What data are they collecting? How is it protected? (No HIPAA = no confidentiality guarantee.) If you're a therapist: * Ask clients about their AI use * Learn the technology Research Referenced OpenAI / ChatGPT message volume statistics [https://www.nber.org/system/files/working_papers/w34255/w34255.pdf] Mental health access gap: ~50% of people who need care can't reach it [https://www.commonwealthfund.org/publications/explainer/2023/may/understanding-us-behavioral-health-workforce-shortage] 1 mental health provider per 10,000 people seeking care; 1,600 patients per available provider [https://www.aamcresearchinstitute.org/our-work/issue-brief/exploring-barriers-mental-health-care-us] "Therapy deserts" (geographic mental health access gaps) [https://www.counseling.org/publications/counseling-today-magazine/article-archive/article/legacy/a-closer-look-at-the-mental-health-provider-shortage] Stanford study: LLMs and therapeutic replacement [https://hai.stanford.edu/news/exploring-the-dangers-of-ai-in-mental-health-care] Lawsuit against OpenAI involving a minor's death (Raine v. OpenAI) [https://www.cbsnews.com/news/openai-changes-will-be-made-chatgpt-after-teen-suicide-lawsuit/]