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The question raised by a professor at the University of Washington about whether LLM can have common sense brought the discussion to a climax. Although the development of neural networks has brought many breakthroughs, they are still insufficient when dealing with common problems in daily life.

Taking the common scenario of hanging clothes for example, GPT-4's performance is not satisfactory, reflecting its limitations in understanding and solving practical problems. This not only makes us think about how artificial intelligence can better integrate into life and serve humans, but also prompts us to reflect on human cognition and wisdom.

From a scientific point of view, the development of artificial intelligence is still in the stage of continuous exploration. Although remarkable achievements have been made in some areas, further research and improvement are needed when it comes to common sense and details of life.

Just like the overseas express delivery service, it seems simple, but it involves many links and complex situations. If artificial intelligence is to be able to flexibly deal with various problems in life like dealing with such complex situations, it needs to continue to improve in terms of technology, algorithms and data.

When training AI models, we need to pay more attention to the diversity and authenticity of data. Not only should it cover a large amount of knowledge and information, but it should also include various scenarios and situations in real life. Only in this way can AI better understand and simulate the way humans think, thereby improving its ability to solve practical problems.

At the same time, we cannot ignore the ethical and social issues brought about by the development of artificial intelligence. As artificial intelligence is increasingly used in life, how to ensure the safety and fairness of its use has become an important issue that needs to be addressed.

We should not just criticize and question the performance of GPT-4 and other AI models on the laundry problem, but should see it as an opportunity to promote technological progress. By deeply studying and analyzing these shortcomings, we can find directions and methods for improvement and promote the continuous development and improvement of AI technology.

In short, the development of artificial intelligence is a process full of challenges and opportunities. We need to look at its progress and shortcomings with a rational and objective attitude, and continue to explore and innovate so that artificial intelligence can better serve human society.