By the way bings seri is chronically stupid and brings up more 'pressing social political' issues at random. Here the google one on orogrsmmingvtge word smart into it;
Current artificial intelligence systems, particularly large language models (LLMs), face significant "smart" issues where they display advanced pattern matching but lack true understanding, leading to failures in deductive reasoning and simple logic tasks. Research indicates that "smarter" AI models often fail in worse ways when faced with complex, unfamiliar scenarios, causing an "accuracy collapse". [1, 2, 3, 4]
Key "Smart" Issues and Limitations
• Lack of Genuine Comprehension: AI models often "hallucinate"—confidently stating false information—because they are designed for pattern recognition rather than understanding.
• Failure in Logic and Reasoning: While models may ace games or generate creative text, they often fail at basic deductive reasoning, failing to generalize to new situations.
• Fragility Under Change: AI navigation or decision models often fall apart when minor, unexpected changes (like a simple detour) are introduced.
• The "Black Box" Problem: AI algorithms are often unpredictable, making it challenging to understand why they reached a specific, often wrong, conclusion.
• Bias and Misinformation: Models trained on vast internet text often propagate biases and generate harmful misinformation or deepfakes, which are hard to filter.
• Environmental Impact: Training and operating large AI models require massive electricity and water for cooling, raising concerns about sustainability. [2, 5, 6, 7, 8, 9]
Risks of Over-Reliance
• Cognitive Atrophy: Excessive dependence on AI tools for writing, brainstorming, and problem-solving can reduce critical thinking skills, a phenomenon sometimes called "mental atrophy".
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