50-year-old delivery man, loneliness and struggle in the early morning

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cross-border collision: food delivery workers and machine translation

chen si, 50, is a man who travels around the city. like many other deliverymen, he has been touched by machine translation technology. he travels around the city every day, struggling to survive and completing delivery tasks late at night. his electric bike has become a symbol of his work, rest and life.

this "late-night work" scene collides with a new perspective on our cognitive model of deliverymen. their seemingly ordinary lives reflect the complex contradictions in social reality. they rush around in the city to survive and fight for their children's future. their lives also reveal the limitations of machine translation technology and the challenges it faces.

loneliness and struggle in the middle of the night:

in the early hours of the morning, people in the city are all in a deep sleep, except for the deliverymen, who need to continue working. this is the special feature of deliverymen, who need to face the loneliness of the late night and run silently in the city. they need to face competition and reality, and machine translation technology tries to provide help and bring more convenience and possibilities to their lives.

from one perspective:

the advancement of machine translation technology has made cross-language communication more convenient, but it has also brought new challenges. we must work hard to explore new methods to improve machine translation technology so that it can more accurately understand context and sentiment and avoid ambiguity and misunderstanding.

another angle:

the experience of deliverymen shows us the limitations of machine translation technology. they face complex problems in social reality, such as survival pressure and competition pressure, and machine translation technology tries to help them and bring more convenience and possibilities to their lives.