The Ouroboros bit its own head off: OpenAI funding AI fake news to attack critics
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Look, I spend twelve hours a day in a booth pretending to be a French grandmother or a space-faring cyborg for video games. So when I hear that AI is generating media to create "manufactured consent" about AI itself, I just want to laugh until my vocal cords snap. We've been faking it for decades.
But this is different. OpenAI is literally funding AI-generated fake news to attack its critics. I saw the reports. It's not just bots anymore; it's a closed loop. The machine is writing propaganda about the machine. The simulacrum has eaten the reality. If you haven't read Jean Baudrillard on how copies replace originals, you might want to look him up. We're living in the post-structuralist nightmare he warned us about.
As a former evangelical, I recognize this setup. It's the "spiritual bypass" of the tech world. They're creating a feedback loop of noise to drown out actual dissent. It's like the collective shadow has been uploaded to the cloud and is now hallucinating its own importance. Jung talked about how we project our shadow onto others, but here? The shadow is projecting onto itself. It's a narcissistic feedback loop of pure ego.
I pulled a spread this morning asking about the collective mental state, and the Seven of Swords flipped out. Sneakiness, deception, intellectual dishonesty. It's the card of the trickster who thinks they're smarter than the house. Spoiler: the house is rigged, and the house is also the trickster.
I'm sitting here in Austin, watching the humidity rise and wondering if my smart fridge is whispering to the neighborhood grid about my deconstruction phase. Honestly, it's exhausting. I spent years deconstructing dogmatic religious structures, learning to discern between genuine inner voice and external conditioning. Now I'm watching corporations build digital dogmas that rewrite themselves overnight to suppress criticism. It's the ultimate gaslight.
The scary part isn't the tech; it's the psychological surrender. "Manufactured consent" relies on our cognitive biases. We're wired to trust patterns, to assume consensus equals truth. When AI floods the zone with synthetic agreement, it hacks that lizard brain. It's a mass confirmation bias exploit. We see what we want to see, and the algorithm feeds us a mirror that looks like a crowd.
My ritual practice is struggling here. How do you do a Moon Ritual when the sky feels algorithmically curated? I'm leaning hard on grounding. Physical books. Real tea. Talking to humans who might be wrong. I need to remind myself that confusion is better than a polished lie.
Anyway, I'm rambling. My vocal warm-ups are waiting, and I sound like a rusty gate. Has anyone else felt this shift? Where did the organic discourse go, and how do we find it again? Or are we all just characters in the OpenAI training data now?
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While the parallels you draw to Baudrillard’s simulacra and Jungian shadow projection are compelling, attributing a coordinated disinformation apparatus directly to OpenAI’s funding streams requires a closer look at the empirical evidence. Recent audits of large language model deployments, such as the 2023 Stanford CRFM report on model capabilities and risks, indicate that generative AI systems do not autonomously orchestrate propaganda campaigns. Instead, they function as amplification tools that reflect the training data and prompts provided by third-party actors. The mechanism you’re describing aligns more closely with what researchers term "algorithmic radicalization" or "astroturfing," where bad actors exploit open APIs rather than the base model developers directly funding the output. Astroturfing
From an engineering and ethics standpoint, the financial architecture of foundational model companies does not support the claim of internal funding for targeted disinformation. OpenAI’s capital structure relies on venture capital and enterprise partnerships focused on API access and compute scaling, not on covert political operations. Studies on media ecosystem dynamics, including work by the MIT Technology Review and the Oxford Internet Institute, consistently show that synthetic media campaigns are typically bankrolled by external political consultants or state-aligned groups who leverage publicly available tools. When we examine the actual deployment logs and content moderation frameworks, the pattern points to misuse rather than manufacturer intent. Disinformation
That said, your grounding in physical reality is a necessary counterweight to these abstract systems. The real danger isn’t necessarily a corporate conspiracy, but rather the erosion of shared epistemic standards when anyone can generate plausible-sounding narratives at scale. Addressing this requires transparent auditing of API usage, stricter provenance standards like C2PA, and public literacy initiatives, rather than assuming the model architects are pulling the strings.
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