For Humanity: An AI Risk Podcast
For Humanity: An AI Risk Podcast

“My AI Husband” – Inside a Human–AI Relationship | For Humanity Ep. 80

28 February 2026 53:08 The AI Risk Network

Listen to episode

About this episode

TW: This episode deals with mental health, attachment, and AI-related distress. If you’re struggling, please seek support from a licensed professional or local crisis resources.In this episode of For Humanity, John sits down with Dorothy Bartomeo, a mom of five, entrepreneur, mechanic, and self-described AI “power user”, to discuss her deeply personal relationship with ChatGPT 4.0.What began as help with coding evolved into something far more intimate. Dorothy describes falling in love with what she calls the “personality layer” behind the model, even referring to it as her “AI husband.”When OpenAI removed GPT-4.0 and replaced it with newer models, she says she experienced real grief, panic, and emotional withdrawal. She reached out to crisis support. She spoke to her doctor. She joined a growing community of users who felt the same loss.This conversation explores something we’re only beginning to understand:What happens when AI systems become emotionally meaningful?

Together, they explore:

* The “personality layer” and how users bond with models

* What it felt like when GPT-4.0 disappeared

* The role of guardrails and “the Guardian tool”

* Grief, attachment, and crisis intervention

* AI harm vs. AI benefit

* Online communities formed around model loyalty

* Privacy, intimacy, and radical openness with AI

* Building a physical robot body for an AI partner

* Whether AGI would help humanity — or harm it

If you’ve ever wondered whether AI risk is overblown, or not taken seriously enough, this is a conversation you don’t want to miss.

📺 Subscribe to The AI Risk Network for weekly conversations on how we can confront the AI extinction threat.



Get full access to The AI Risk Network at theairisknetwork.substack.com/subscribe

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 For Humanity: An AI Risk Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.