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Thoughts about AI generated content and it’s future irrelevance

Artificial Intelligence

Thoughts about AI generated content and it’s future irrelevance

The Future of AI-Generated Content: Challenges and Implications for Trust

As artificial intelligence continues to advance, the landscape of content creation is rapidly evolving. A pressing question emerges: in an era dominated by AI-generated material, how can we ensure the authenticity and reliability of the information we consume?

One of the core concerns revolves around what could be termed the “Believability Collapse.” Imagine a scenario where entire domains—such as job listings, news reports, or social media posts—are predominantly produced by AI. If the content becomes indistinguishable from human-created material, how do we verify its truthfulness? The foundation of trust that underpins digital communication could be fundamentally challenged.

Historically, effective communication—particularly through written mediums—has served as a window into an individual’s intent and character. For example, a well-crafted resume not only showcases professional skills but also offers insights into a candidate’s thought process. Conversely, a poorly written resume can reveal shortcomings, candidly reflecting the applicant’s communication abilities. However, with AI-generated resumes transforming into flawless, perfectly tailored documents, that revealing aspect disappears. The resume becomes merely a polished business card—less about the individual’s true capabilities and more about their ability to craft a convincing presentation.

This phenomenon extends beyond resumes to all forms of mediated communication: emails, texts, voice messages, and more. As AI tools become ubiquitous in generating and manipulating such content, it becomes increasingly difficult to discern what is authentic. The possibility of layering in authenticity markers—like tags indicating “Generated by a Human”—or implementing biometric verification methods may become necessary. Without such measures, we might find ourselves defaulting to suspicion, assuming that every message or piece of media could be artificially created.

This shift raises significant concerns about the value and trustworthiness of digital interactions. If we cannot confidently verify the source or integrity of information exchanged online, the importance of mediated communication diminishes. In extreme cases, this could push society back toward prioritizing face-to-face interactions, which are inherently more verifiable. But then, why would we invest heavily in AI systems and digital communication if their reliability is so uncertain?

In summary, the rapid proliferation of AI-generated content threatens to undermine the foundation of trust that sustains our digital ecosystem. As the speed and volume of AI-created material increase, we risk decoupling ourselves from the very media and platforms that facilitated progress in communication. This scenario—akin to a “Dark Forest” model—may materialize sooner and more severely than

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