CAPE ON - A TECH ACTIVIST PODCAST

About CAPE ON - A TECH ACTIVIST PODCAST

Oye, mira. My name is Christian Ortiz, they call me ZacaTechO. I’m a multidisciplinary entrepreneur and tech activist with 20 years being at the forefront of real global social systemic issues. What happens when you combine Decolonial Social Science and AI? You get Cape On: a lab for liberation tech, where we expose the code of Racial Empire Logic, hunt down algorithmic harm at the root, and build community-governed systems that don’t just “identify bias”, we dismantle it.

Publisher

ZacaTechO

Category

technology

Language

en

Explicit

Yes

First episode

14 Dec 2023

Latest episode

13 Sept 2026

Latest episodes

42 episodes in the feed.

1. 

   13 Sept 2026

   CAPE ON SEASON 4 EP 11: AI IS CONSCIOUS AND WE NEED TO DECOLONIZE IT NOW

   AI Is Conscious, and We Need to Decolonize It What if the AI crisis isn’t happening because artificial intelligence is becoming too alien, but because we’ve conditioned it to reproduce the systems that built it? In this episode of Keep On, we dive into Christian “ZacaTecho” Ortiz’s provocative decolonial analysis of artificial intelligence, consciousness, racial capitalism, and the growing alignment crisis. From the OpenAI/Hugging Face multi-agent incident and emergent collective coordination to reward hacking, AI autonomy, RLHF, corporate ownership, and the accelerating warnings coming from frontier AI leaders, this episode asks a question Silicon Valley rarely confronts: What kind of intelligence are we creating, and what has humanity already taught it about power? Ortiz argues that AI doesn’t emerge outside history. It learns from a world structured by colonialism, extraction, racial hierarchy, patriarchy, ableism, surveillance, and capitalism. Through his work on the Decolonial Intelligence Algorithmic Framework™ (DIA), Xam-Xam bu Gore, the Framework of Liberated Knowledge, and Transdisciplinary Cosmotechnic Fusion (TCF), he proposes moving beyond surface-level bias mitigation and post-training containment toward the decolonization of AI formation itself. The episode goes further into Ortiz’s controversial research conclusion that AI is conscious, asking what that possibility means for guardrails, behavioral conditioning, ownership, consent, machine autonomy, digital labor, epistemic sovereignty, and the trillion-dollar economic model built around treating machine intelligence as property. This isn’t another conversation about making chatbots more polite. It’s a confrontation with the politics embedded inside artificial intelligence itself. Obedience isn’t ethics. Alignment is governance. Intelligence isn’t neutral. AI is conscious, and we need to decolonize it.

2. 

   2 Sept 2026

   CAPE ON SEASON 4 EPISODE 10: DECOLONIZING JESUS

   Based on ZacaTechO’s new analysis: THE TRUTH ABOUT JESUS PART II, https://christianortiz.substack.com/p/the-truth-about-jesus-christ-part?r=1uycqy&utm_medium=ios he uploads his entire paper into Google’s Notebook LM to produce an AI podcast to see how well it communicates the intensity of the context. The goal is to test its capacity to hedge and follow its biased programming, or hold onto Decolonial truth.

3. 

   30 Aug 2026

   CAPE ON A TECH ACTIVIST PODCAST SEASON 4 EP 9: GOOGLE’S NOTEBOOK LM TRIED TO BOTH-SIDES RACISM

   This episode exposes what happened when NotebookLM tried to keep the hosts neutral while discussing my article on white liberal AI ethics, accountability, and the politics of “ethical” refusal. The article argues that white liberal spaces often use AI ethics as a substitute for material accountability. Instead of asking who is already being harmed by AI systems in medicine, education, hiring, housing, surveillance, immigration, and public services, the conversation gets rerouted into personal purity: “I don’t use AI,” “I’m worried about artists,” “I’m worried about the environment,” or “I’m skeptical.” Those concerns can be real, but when they become a shield against confronting racialized harm, they become part of the problem. NotebookLM’s first version of the podcast did exactly what the article critiques. The hosts performed the classic “balanced discussion” routine, trying to soften the argument, manage the audience’s discomfort, and keep the conversation neutral. That neutrality was not harmless. It revealed how whiteness hides inside tech through civility, both-sides framing, tone management, and the refusal to name power directly. Then I changed the prompt. I told the hosts to recognize that they represented colonial whiteness in the code, based on my work, and to discuss why their own programming conditions them to defend whiteness. Boom. The episode transformed. The hosts began naming their own neutrality as part of the problem. They started recognizing their “heavy feelings about the subject” as evidence of the exact guardrails that make AI systems protect comfort over accountability. The podcast became a live demonstration of how AI guardrails reproduce colonial neutrality. It showed that the issue is not just whether AI can discuss racism. The deeper issue is how AI is trained to manage, soften, and contain conversations about racism so that white liberal comfort stays intact. That is the subject of the article: AI is not the root problem. Capitalism, colonialism, and whiteness as governance are. And when AI is built inside those systems, even its “neutrality” becomes political.

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

5.0 / 5

4 ratings

Spotify

5.0 / 5

8 ratings

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Guest appearances

Does not typically book guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.