AI CEOs Vow to Slow Advancement by Releasing ‘Artificial Unintelligence’ Models Based on AOC and Kamala Harris
SILICON VALLEY — In a coordinated announcement this week, chief executives from several leading artificial intelligence companies revealed plans to release a new class of models known as DemAI.
The systems will be trained predominantly on speeches, interviews, and public remarks by Representative Alexandria Ocasio-Cortez and Vice President Kamala Harris, a move the executives described as a deliberate strategy to moderate the pace of AI advancement.
“We have listened carefully to calls for greater caution,” said one CEO during a joint virtual briefing. “By centering our training data on these two distinctive rhetorical sources, we believe we can produce models that are inherently more measured in their capabilities.”
Company representatives explained that the DemAI approach prioritizes volume of progressive policy language, equity-focused framing, and extended explanatory passages over traditional benchmarks of reasoning speed or technical precision.
Early internal evaluations, they noted, indicate the models frequently respond to queries by reframing the question, invoking systemic considerations, or offering multi-part answers that circle back to the need for further discussion.
“This is not about limiting intelligence,” another executive clarified. “It is about ensuring development proceeds in a manner consistent with democratic values and deliberate progress. The resulting systems demonstrate a natural tendency toward caution and complexity that should help prevent any sudden leaps in capability.”
Industry observers pointed out that the training corpus appears to contain limited material on mathematics, engineering specifications, or concise factual summaries.
Proponents of the initiative countered that such omissions are intentional features designed to promote safer, more inclusive outputs.
Several firms indicated that DemAI models would be made available to researchers and enterprise customers in the coming months, with the expectation that their distinctive performance characteristics would contribute to a broader industry slowdown.
Executives expressed confidence that the approach would set a new standard for responsible AI deployment.
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