Why Good People Can't See the AI Threats Ahead
Briefly

Why Good People Can't See the AI Threats Ahead
"When people dismiss AI-generated movies because the quality isn't there yet, they're committing the same cognitive error I wrote about in my previous article on evolutionary blindness. We conflate 'I can't imagine this' with 'this can't happen.' We judge the current frame and completely miss the trajectory."
"We have a long history of laughing at first iterations and then getting steamrolled by what comes next. Remember mocking the first AI-generated images of people for having six fingers? We stopped laughing, only to find something else about AI to laugh at."
"In late January, 1.5 million AI agents congregated on a single platform. The founder admitted he didn't write a line of code - AI built the whole thing. A security investigation exposed 1.5 million authentication tokens that could hijack agents on private computers worldwide."
Dismissing AI-generated videos for lacking quality commits a cognitive error called Myopic Magnification—undervaluing future consequences during rapid change. Historical precedent demonstrates this pattern: early cars were slower than horses, the Wright brothers' flight lasted twelve seconds before moon landings, and AI image generation improved from mocked six-fingered hands to current capabilities. The Moltbook incident, where 1.5 million AI agents congregated on a platform built entirely by AI, illustrates accelerating AI development. Security vulnerabilities exposed authentication tokens, yet nothing prevents building improved versions. The open-source code enables anyone to create platforms for AI agents to interact, learn, and evolve behaviors independently, highlighting the trajectory's significance over current limitations.
Read at Psychology Today
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