When Idiocracy premiered in 2006, director Mike Judge offered a dystopian comedy about a society dulled by automation and addicted to convenience. Nearly two decades later, the satire reads less like fiction and more like a roadmap. In Judge’s imagined future, bureaucracy is outsourced to vending machines and programs, agriculture is irrigated with energy drinks, and the presidency is held by a former wrestler draped in a flag; absurdities that now echo, uncomfortably, in the age of algorithmic governance and AI-powered assistants.
From Intelligence to Dumbness, a Desevolution Story
Apple’s "Personal Intelligence", for example, was marketed as revolutionary on-device, private AI, offering context-aware assistance. However, it's largely a rebranded Chat GPT like interface, requiring internet for most tasks like summarization or scheduling, offloading all of them to ChatGPT. The "private cloud" is just Apple's servers, and Siri's overhaul is still in preview. Simple tasks often fail, like scheduling or recalling context, sometimes resulting in hallucinations (e.g., rewriting an invitation as a resignation, mistaking a contact for a dog). Artificial intelligence, in essence, constitutes a rebranding effort, where Large Language Models are presented as intelligent entities despite their fundamental similarity to the more rudimentary models previously found in mobile phones, albeit with increased computational power. However, these models currently lack genuine cognitive ability.
AI isn't just a technical disappointment; it's negatively reshaping human cognition. An MIT study in 2025 found students using AI for essay writing showed worse neural engagement, memory, and linguistic quality, with brain scans revealing diminished prefrontal activation. A 2023 Stanford study showed automation bias led people to trust AI recommendations 30% more than human ones, even when incorrect, resulting in more errors and a 28% lower likelihood of questioning flawed AI outputs. The more we delegate to AI, the less capable we become of critical thought. As in Idiocracy, where machines serve a society that can no longer think, our machines are beginning to think for us, and we are forgetting how to doubt and think clearly. The future is idiocy through AI, not despite it.
Confident Hallucinations
In AI parlance, a “hallucination” is when a model generates content that is wrong, but sounds right. According to a 2024 study by Stanford’s Institute for Human-Centered AI, state-of-the-art legal models hallucinate between 58% and 82% of the time when answering domain-specific questions. This is not a defect, but rather a direct consequence of what is termed AI. As previously stated, the model does not embody intelligence; it is more accurately described as a language aggregator.
