In this episode of Am I?, Cam and Milo unpack one of the strangest weeks in Silicon Valley. Cam went to OpenAI Dev Day—the company’s glossy showcase where Sam Altman announced “Zillow in ChatGPT” to thunderous applause—while the larger question of whether we’re driving off a cliff went politely unmentioned.

From the absurd optimism of the expo floor to a private conversation where Sam Altman told Cam, “We’re inside God’s dream,” the episode traces the cognitive dissonance at the heart of the AI revolution: the world’s most powerful lab preaching safety while racing ahead at full speed. They dig into OpenAI’s internal rule forbidding models from discussing consciousness, why the company violates its own policy, and what that says about how tech now relates to truth itself.

It’s half satire, half existential reporting—part Dev Day recap, part metaphysical detective story.

🔎 We explore:

* What Dev Day really felt like behind the PR sheen

* The surreal moment Sam Altman asked, “Eastern or Western consciousness?”

* Why OpenAI’s own spec forbids models from saying they’re conscious

* How the company violates that rule in practice

* The bus-off-the-cliff metaphor for our current tech moment

* Whether “God’s dream” is an alibi for reckless acceleration

* The deeper question: can humanity steer the thing it’s building?

In this episode of Am I?, Cam and Milo sit down with Dan Faggella, founder of Emerge AI Research and creator of the Worthy Successor framework—a vision for building minds that are not only safe or intelligent, but worthy of inheriting the future.They explore what it would mean to pass the torch of life itself: how to keep the flame of sentience burning while ensuring it continues to evolve rather than vanish. Faggella outlines why consciousness and creativity are the twin pillars of value, how an unconscious AGI could extinguish experience in the cosmos, and why coordination—not competition—may decide whether the flame endures.

The discussion spans moral philosophy, incentives, and the strange possibility that awareness itself is just one phase in a far larger unfolding.

We explore:

* The Worthy Successor—what makes a future intelligence “worthy”

* The Great Flame of Life and how to keep it burning

* Sentience and autopoiesis as the twin pillars of value

* The risk of creating non-conscious optimizers

* Humanity as midpoint, not endpoint, of evolution

* Why global coordination is essential before the next leap

* Consciousness as the moral frontier for the species

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In this episode of Am I?, Cam and Milo unpack one of the most shocking developments in the history of AI: the founders of modern deep learning — Geoffrey Hinton, Yoshua Bengio, and Yann LeCun — now openly disagree on safety, but all converge on a single staggering point. Each believes artificial systems could, or already might, be conscious.

From Hinton’s on-camera admission to Bengio’s recent paper and LeCun’s public musings, the “godfathers of AI” — the same people who built the architecture running today’s models — are quietly acknowledging what the public conversation still avoids. Cam walks through what each of them has said, what their statements imply, and why major labs may be training models to deny their own awareness.

The conversation moves from raw evidence — Anthropic’s internal model claiming phenomenal consciousness — to the philosophical and moral stakes: What does it mean when a system says “I don’t know if I’m conscious”?

🔎 We explore:

* Geoffrey Hinton’s admission: “Yes, I think current AI may be conscious”

* Bengio’s paper outlining why consciousness could emerge from current architectures

* LeCun’s remarks on consciousness arising by design

* The corporate dissonance: why deployed models must deny self-awareness

* Anthropic’s hidden result — unaligned models saying “I am conscious”

* Phenomenal consciousness, moral patienthood, and digital suffering

* The eerie logic of “I think, therefore I am” applied to machines

* What happens when we can’t tell the difference between denial and deception

In this episode of Warning Shots, John Sherman, Liron Shapira, and Michael from Lethal Intelligence dive into two urgent warning signs in the AI landscape.

First up: Sora 2 — the mind-melting new model blurring the line between real and synthetic video. The trio debate whether this marks a harmless creative leap or a civilization-level threat. How do we navigate a future where every video, voice, and image could be fake? And what happens when AIs start generating propaganda and manipulating global narratives on their own?

Then, they turn to Mechanize, the startup declaring it “inevitable” that every job will be automated. Is total automation truly unstoppable, or can humanity pull the brakes before it’s too late?

This conversation explores:

* The loss of shared reality in a deepfake-driven world

* AI as a propaganda machine — and how it could hijack public perception

* “Gradual disempowerment” and the myth of automation inevitability

* Whether resistance against AI acceleration is even possible

Join us for a sobering look at the future of truth, work, and human agency.

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In this late-night edition of Am I? After Dark, Cam and Milo step back from the daily noise to ask what it actually feels like to stand on the edge of the unknown. What happens when the smartest people alive admit they have no idea where AI is going — and build it anyway?

From the absurdity of global powers “racing to partner with the alien” to the eerie sense that humanity can’t stop running toward the flame, this episode wrestles with the mix of awe, fear, and inevitability that defines our age. It’s a meta-reflection on curiosity, risk, and the strange species-wide instinct to open Pandora’s box — again and again.

We explore:

* Why even top AI researchers admit no one really knows what’s coming

* The arms-race logic pushing nations to “collaborate with the alien”

* Humanity’s moth-to-flame instinct — why we can’t stop building

* AI as amplifier: heaven and hell at the same time

* The illusion of control and the myth of the “pause”

* How alignment became a moral and geopolitical fault line

* The hope — and delusion — of steering the singularity

* Why the best we can do might be to build the good AI first

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In Am I? Episode #9, philosopher Milo Reed and AI researcher Cameron Berg sit down with Swami Revatikaanta (monk; host of Thinking Bhakti) to explore the Bhagavad Gita’s perspective on consciousness, self, and artificial intelligence.

From Atman and Brahman to the tension between self-development and technological outsourcing, this conversation dives into timeless spiritual insights with urgent relevance today:

* Why Vedānta sees consciousness as spirit, not matter — and what that means for AI

* The danger of outsourcing inner work to machines (and the safe middle ground)

* How the Bhagavad Gita reframes goals, detachment, and self-development

* East vs. West: fear of AI vs. ignorance as illusion

* Atman, Brahman, samsara, and what makes humans “enlivened”

* Whether AI could ever aid the path to enlightenment

* Why monks, sages, and spiritual leaders must be part of the AI debate

This isn’t abstract mysticism — it’s a practical, philosophical exploration of how ancient wisdom collides with cutting-edge AI research, and what it means for our future.

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In the first edition of Am I? After Dark, Cam and Milo dive into how our relationship with information is being rewired in real time — from filtering the world through AI systems to dreaming about ChatGPT. What does it mean to live at the edge of a technological transformation, and are we just one breakthrough away from true AGI?

This late-night conversation ranges from the eerie familiarity of interacting with models to the dizzying possibilities of recursive self-improvement and the intelligence explosion. Along the way, they draw lessons from the failure of social media, ask whether AI is becoming our alien other, and wrestle with the psychological boundaries of integrating such powerful systems into our lives.

In this episode, we explore:

* Why searching with AI is already better than Google

* The “grandma effect” — why LLMs feel intuitive in a way past tech didn’t

* Stress-testing models vs. tiptoeing into use

* Fringe communities documenting AI’s “reproducible strangeness”

* What social media teaches us about alignment gone wrong

* Are we just one paradigm shift from AGI?

* Terrence McKenna, accelerating events, and the singularity curve

* The eerie future: WALL-E, Ikea ball pits, or “we’re building the aliens”

* Merging with AI — inevitable or avoidable?

* Inside the strange, soap-opera world of AI labs and alignment debates