The riddles humans can solve but computers can't
Ans)
Topic-Related Questions
1.C) AI lacks common sense and flexible reasoning.
2.B) To unlock secrets about human cognition and improve AI.
3.C) Pattern recognition tasks.
4.C) GPT-4
5.D) Newly created rebus puzzles.
Vocabulary Questions
6.B) The ability to understand something instinctively.
7.A) The mental processes of acquiring knowledge.
8.D) Having a basis in reality or real-world context.
9.B) The ability to think about concepts not physically present.
10.B) Computing systems modeled after the human brain.
Inference Questions
11.A) AI has already solved complex problems beyond human capability.
12.B) It could maximize the strengths of both humans and AI.
13.C) It has difficulty with understanding sequences of events.
14.A) AI models have likely encountered it during training.
15.C) Collaborative research may yield insights into both AI and human cognition.
SAT-style questions
16. B) AI lacks the real-world experience needed to apply common sense.
17. C) To gain insights into both artificial and human reasoning processes.
18. D) They instinctively trust their intuition without questioning it.
19. C) By developing original rebus puzzles that were not in the training data.
20. B) The collaboration may lead to new insights that enhance both AI and human capabilities.
Writing Sample
Essay
Artificial intelligence (AI) has rapidly evolved, performing tasks that once seemed exclusive to human capabilities, such as analyzing vast amounts of data and recognizing complex patterns. Some people argue that AI will eventually surpass human intelligence in problem-solving and reasoning, while others believe that AI will never fully replicate the flexible reasoning and common sense unique to human beings. This essay will discuss both perspectives and provide an opinion on the matter.
Proponents of AI believe that its continual advancement will lead to machines outperforming humans in various cognitive tasks. AI systems, especially large language models, have already demonstrated superior abilities in specific areas, such as data analysis, pattern recognition, and handling complex computations. As technology evolves, AI’s capacity to learn and adapt could potentially enable it to solve problems more efficiently than humans. For instance, in fields like medicine and finance, AI can quickly process information, identify trends, and suggest solutions that might take humans much longer to develop.
On the other hand, critics argue that AI lacks the essential qualities of human cognition, such as intuition, emotional understanding, and common sense reasoning. As highlighted in recent studies, AI models struggle with tasks that require a deeper understanding of context or flexible reasoning, such as solving riddles or interpreting abstract problems. Unlike humans, AI does not have a grounded experience in the real world, making it difficult for machines to apply logic to novel situations effectively. Thus, while AI can excel in tasks it is trained on, it remains limited when it comes to truly understanding complex, real-world scenarios.
In my opinion, while AI will continue to improve and possibly outperform humans in certain domains, it is unlikely to fully replicate the nuanced and flexible reasoning of the human mind. AI’s strengths lie in its ability to handle vast amounts of data and make predictions based on patterns, but it lacks the innate human abilities that come from lived experience and intuitive understanding. Therefore, rather than seeing AI as a replacement, it should be viewed as a complementary tool that enhances human capabilities.
In conclusion, while AI has the potential to excel in specific problem-solving tasks, it is unlikely to surpass the flexible and context-aware reasoning that defines human intelligence. Embracing AI as a partner, rather than a replacement, will likely yield the most beneficial outcomes for society. (words: 389)
Short answer questions
1.Answer: AI’s primary strength is its ability to handle vast amounts of data, recognize complex patterns, and make predictions efficiently.
2.Answer: Critics believe AI cannot fully replicate human reasoning because it lacks intuition, emotional understanding, and common sense, which are essential for flexible reasoning and understanding complex, real-world contexts.
3.Answer: The author believes that AI will continue to improve and complement human abilities but is unlikely to fully replicate the flexible reasoning of the human mind.
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