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Artificial intelligence is changing the world, but the rapid rise in adoption means more people are encountering its limitations daily. Understanding these issues is the first step toward responsible use.
AI models operate on probabilities and complex networks. Sometimes, the "most probable" answer is nonsensical, irrelevant, or factually inaccurate.
Advice: Always verify critical information provided by an AI.
AI lacks true short-term memory and cannot understand human emotion or nuance . furthermore, because real-world data contains bias, AI often learns and reinforces these biases, leading to discriminatory outcomes in areas like hiring or lending.
Censorship: Safety guardrails can be too broad, restricting legitimate information.
Tokenization: AI breaks language into "tokens." If a conversation hits a token limit, responses can cut off mid-sentence.
Perhaps the most baffling phenomenon is when a model confidently generates information that is completely false or unfounded.
AI manufactures facts based on patterns, not truth. There are documented cases of AI inventing legal cases, falsely citing sources, or describing non-existent events.
These are not just theoretical issues. The most effective way to handle these limitations is through human expertise.
AI is a tool—it requires humans to guide it, verify its outputs, and catch its errors. By acknowledging these limits, we ensure technology serves humanity safely and ethically.
