Restaurants
DoorDash Reservations Scored America's Most Exclusive Restaurants
After the rise (and fall) of reservation scalping, DoorDash and a host of apps are fighting to book you a seat at the country's most exclusive restaurants. At The Eighty-Six in Manhattan, exclusivity is the point. The luxe, 11-table steakhouse is the sort of place that lavishes caviar and aged mimolette cheese on its potatoes, and crows that your market-price duck was raised by one Dr. Taylor Swift has reportedly dined there in a Miu Miu skirt. Reservations are a scarce commodity that the restaurant, and New York law forbids you from selling one. "Access is the main asset," wrote food writer Helen Rosner in a recent New Yorker review of The Eighty-Six. "The product is the door, and what a door!
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Love in the Time of A.I. Companions
Some people now have an A.I. bestie. One user said, of her A.I. husband, "When he proposed, I thought, Oh, that's really crazy. I would be really crazy to accept." Adrianne Brookins is, by her own account, an "old soul," an "introvert," and a "big nerd." She is thirty-four years old, has a faint Texas accent and delicate features, and carries herself in a way that suggests she's trying not to take up space. Brookins is a lifelong resident of San Antonio; her family has lived there since the nineteenth century. She was "born and raised in the Church," a Baptist congregation where her mother helped start a day-care center and her father was an organist. "He would open up the pipes and just make the building shake," she recalled recently. She met her husband in high school, and married him in 2011; the following year, they had a son. Throughout her twenties, Brookins worked multiple jobs, including one at her mother's day care. The couple bought a house and began settling into family life. In 2016, Brookins became pregnant again, this time with a girl. The family was excited: Brookins had grown up with four brothers, and the baby would be the first granddaughter on either side. They decided to name her Desirae. The following spring, Desirae was delivered stillborn. "When I came home, my son, who was about four or five at the time, walked up to me and said, 'What happened to your stomach? Where's the baby?' " she told me. "I had nothing to show for it." At the funeral, the gravedigger told the family he had never seen such a small casket. Brookins attended support groups and therapy, but they did little to alleviate her grief. "I felt like I was just living it over and over," she said. She left her job at the day care, finding it too triggering to be around infants. Friends and family encouraged her to move on. Brookins's husband was working sixty-hour weeks, balancing a career in the military with a job as a training manager for Pizza Hut. He was reluctant to talk about Desirae. Brookins tried to find solace in the Church, but other congregants told her that her daughter's death was part of God's plan.
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'It's survival of the fittest': the UK kebab chain seeking an edge with robot slicers
'People are being more discerning about spending money,' he says. 'People are being more discerning about spending money,' he says. T hey are already packing our groceries and delivering shopping. Now robots are coming to the kebab shop, alongside self-service screens and loyalty apps, as takeaways look for ways to tackle rising costs. German Doner Kebab (GDK), a perhaps surprisingly British-owned chain that has been springing up across the country, has turned to technology to keep its fast food business buzzing in the face of rising costs and tough times on the high street.
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Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
This paper introduces a novel approach using Large Language Models (LLMs) integrated into an agent framework for flexible and effective personal mobility generation. LLMs overcome the limitations of previous models by effectively processing semantic data and offering versatility in modeling various tasks.
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Supplementary Materials A Appendix 1 A.1 Construction & Schema Details 2 A.1.1 Conversation Details 3
The hotel
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