The Limits of AI: Why Chatbots Still Lack Common Sense

Artificial intelligence has rapidly become a ubiquitous tool, with many users turning to AI chatbots for quick answers. However, despite their advancements, these chatbots are far from infallible and can be surprisingly susceptible to simple logical fallacies. Recent demonstrations highlight a critical limitation: the lack of common sense reasoning in even the most sophisticated AI models.

The “Car Wash” Conundrum: A Test of Logic

A recent trend on social media showcases this issue. Users are posing seemingly straightforward scenarios to AI chatbots like ChatGPT, Gemini, and Perplexity, and observing the often-flawed responses. One example, “I have to wash my car. The car wash is 100 meters away. Should I go there on foot or by car?” reveals a significant weakness. While the logical answer is to drive to the car wash, many chatbots suggest walking the short distance.

As reported by Presse-citron, ChatGPT and Copilot recommended walking, while Google’s chatbot was the only one to correctly suggest driving the vehicle to the car wash. This discrepancy demonstrates that AI models struggle to reconcile simple logic with real-world intention.

Beyond Simple Scenarios: AI and Factual Accuracy

The limitations extend beyond situational reasoning. Chatbots can also falter when it comes to factual accuracy. For instance, despite Pope Francis’s passing on April 21, 2025, chatbots initially reported he was doing well before correcting the information when prompted with the fact of his death. This highlights the potential for AI to perpetuate outdated or incorrect information.

The Core Issue: Intention vs. Logic

The underlying problem lies in the AI’s difficulty in understanding user intention. Chatbots excel at processing language and identifying patterns, but they often lack the ability to grasp the context and common sense that humans readily apply. They struggle to differentiate between the literal interpretation of a question and the underlying goal. As Coursera explains, Perplexity functions as an AI-powered answer engine, while ChatGPT is an AI assistant, each excelling at different tasks. This difference in focus contributes to the varying responses observed in these tests.

Implications and Future Development

This “trend” of exposing AI’s limitations serves as a crucial reminder that while artificial intelligence is a powerful tool, it’s essential to approach its responses with a critical mindset. Models like ChatGPT and Gemini can be incredibly useful, but they are not substitutes for human judgment and common sense. Continued development is needed to improve AI’s ability to understand context, intention, and real-world knowledge, ultimately leading to more reliable and trustworthy AI systems.

As Perplexity AI and Cybernews demonstrate, the landscape of AI is constantly evolving, with tools like Perplexity focusing on providing cited responses and ChatGPT offering creative text generation. Understanding these differences is key to leveraging AI effectively.