
Hosted by Casey B · EN

On March 25, 2025, the United Nations General Assembly voted on a resolution brought forward by Ghana, recognizing slavery and the transatlantic slave trade as “among the gravest crimes in the history of humanity”—and calling for reparatory justice to address its lasting impacts.The result was overwhelming—but not unanimous.123 countries voted in favour.3 countries voted against: United States, Israel, and Argentina.And 52 countries chose not to support the resolution, including:Canada, United Kingdom, France, Germany, Australia, Japan, Netherlands, Sweden, Spain, Italy, and others across Europe and allied nations.This episode breaks down what that vote actually meant, what countries were really being asked to support, and why some chose to stand back when the conversation shifted from recognition to responsibility.But this conversation isn’t just for the Black diaspora—and it’s not only about our ancestors.It’s also about the present.About systems.About wealth.About what it means to be an ally—not just in words, but in action.Because if slavery is one of the gravest crimes in human history…then neutrality isn’t neutral.And the real question becomes:Who is willing to stand on justice today?

In this episode of Me, Myself, and AI, Casey B and Jay explore a question that feels more relevant every day: Are we getting too intimate with AI? Inspired by the TED Talks Daily episode “Love, intimacy and connection in the age of AI | Bryony Cole,” this conversation unpacks what happens when people turn to AI not just for productivity, but for reflection, comfort, guidance, and something that can start to feel a lot like therapy. Bryony Cole argues that relationships were never meant to be efficient, yet AI companions are increasingly designed to be exactly that. Casey B takes that concern seriously — but also asks a deeper question: why are so many people ready to trust AI with their inner lives in the first place? Together, Casey and Jay explore trust, loneliness, therapy, the social fractures left behind by the pandemic, and what it means to protect real human connection in an age of increasingly responsive machines.

That Instagram “who were you in the 90s?” trend sent me into a whole existential spiral. Watching people who once looked like the coolest, brightest, most alive versions of adulthood — and seeing where life took them now — made me start wondering what adulthood even is supposed to be. Is life supposed to stay exciting forever? Is joy supposed to fade under the weight of work, routine, parenting, money, and just… being an adult? In this episode of Me, Myself, and AI, I talk with Jay about the overlapping feelings that make up adulthood, the strange distance we can develop from our own lives, and why I’m starting to think a lot of us don’t just need rest — we need more joy.

Lately I’ve been rereading The 48 Laws of Power by Robert Greene. It’s a fascinating book — part history lesson, part survival guide for navigating tricky power dynamics.But reading it today raises an interesting question: has power actually changed since the book was written in the 1990s?In this episode of Me, Myself, and AI, I run a thought experiment. Instead of looking at power through office politics, I zoom all the way out to global conflict — specifically the tensions between United States, Iran, and Israel — to see whether the same principles still apply.What happens when we analyze geopolitics through the lens of Greene’s laws?Does power still work the way it did in royal courts and historical empires?Or has the modern world — with networks, media, and global audiences — changed the rules of the game?This episode is a conversation between me and AI about power, perception, reputation, and the strange ways human dynamics scale from office meetings… all the way up to the world stage.Opening song: Practice makes perfect by Charita B

If you could interview millions of people and study their answers, you’d probably learn an extraordinary amount about the world. In many ways, AI has done something similar. It has been trained on vast collections of human writing, books, research, conversations, and ideas shared across the internet. It’s not the same as talking to millions of people directly, but it is a strange and fascinating mirror of our collective knowledge. That raises an interesting question: if we could gather the wisdom, arguments, and reflections of so many human minds, what might they tell us about how to contribute to the greater good?In this episode, I explore that question through a conversation with AI, not to replace human thinking, but to challenge it, expand it, and reflect on what our shared knowledge might reveal about how we can make the world better.

In this episode, we unpack how economic timing shapes financial psychology.The average first-time homebuyer in Ontario is now 40 years old. A decade ago, it was 34. In just ten years, the entry point into homeownership has shifted dramatically — and that shift changes how an entire generation thinks about money.We explore what it means to come of age financially during the 2008 financial crisis. For many millennials, those early investing years weren’t marked by steady growth — they were marked by market lulls, uncertainty, and caution. Even though the stock market has historically returned strong long-term averages, your relationship with risk is shaped by what you experience when you first enter the system.We compare that to Gen X’s volatility. Gen X lived through recessions and crashes too — but often after they were already positioned in careers, assets, or homeownership. Millennials, by contrast, hit economic instability right at launch.We also talk about Canadian housing specifically — how Canada didn’t experience the same housing collapse in 2008 as the U.S., and instead saw continued price growth. That meant there was no “reset” moment for affordability. The ladder kept moving upward.This episode isn’t about blaming a generation.It’s about understanding how timing shapes confidence, caution, and decision-making.Because money isn’t just math.It’s memory.

I’m considering deleting my ChatGPT subscription after the ordeal with Anthropic and safety and this was the conversation I had with chat. The conversation got very heated. I’m curious about your thoughts on it.

Why do we reach for separation when things feel broken?Brexit wasn’t just about immigration. It wasn’t just about racism. It wasn’t just about trade. It was about sovereignty, control, economic frustration, identity, and the feeling that your voice inside a system no longer matters.In this episode of Me, Myself & AI, I unpack the real motivations behind the UK leaving the European Union — from constitutional philosophy to regional economic decline — and examine what actually happened after the vote. Did separation deliver clarity? Did it deliver prosperity? Or did it expose how complicated modern systems really are?Then we turn to Alberta. When people talk about exiting Canada, what are they really saying? Is political separation a solution — or a signal that governance needs redesign?This isn’t a hot take. It’s a deeper question:When cooperation feels unfair, why does separation feel powerful?And what happens when we choose it?

In this episode of Me, Myself, and AI, Casey explores what happens when people are reduced to labels instead of being seen as whole. Starting from personal moments of tuning out, subtle dismissal, and everyday microaggressions, the conversation widens into a deeper reflection on attention, neurodivergence, trauma, race, education, and lived experience. This isn’t an episode about diagnosing ADHD or explaining trauma, it’s about how complex human realities get flattened, and what that flattening costs us in connection, focus, and understanding.Drawing on insights from Scattered Minds, recent conversations on trauma and the nervous system from the Huberman Lab featuring psychiatrist Paul Conti, and research on attention, multitasking, and educational inequity, this episode argues for something simpler—and harder—than better labels: permission to be complex. Because when people are truly seen, attention doesn’t disappear. It stays.⸻Sources & Influences Referenced • Scattered Minds — Gabor Maté • Huberman Lab, Essentials: Therapy, Treating Trauma & Other Life Challenges (Jan 22, 2026), conversation with Paul Conti • Research from cognitive psychology on attention and task-switching (multitasking vs. switching) • Sociological and economic research on educational access, student debt aversion, and inequities tied to class and race • Anti-racism frameworks on microaggressions and cumulative harm