With the rapidly expanding landscape of large language models, aligning model generations with human values and preferences is becoming increasingly important. Popular alignment methods, such as Reinforcement Learning from Human Feedback, have shown significant success in guiding models with greater control. However, these methods require considerable computational resources, which is inefficient, and substantial collection of training data to accommodate the diverse and pluralistic nature of human preferences, which is impractical. These limitations significantly constrain the scope and efficacy of both task-specific and general preference alignment methods. In this work, we introduce On-the-fly Preference Alignment via Principle-Guided Decoding (OPAD) to directly align model outputs with human preferences during inference, eliminating the need for fine-tuning. Our approach involves first curating a surrogate solution to an otherwise infeasible optimization problem and then designing a principle-guided reward function based on this surrogate. The final aligned policy is derived by maximizing this customized reward, which exploits the discrepancy between the constrained policy and its unconstrained counterpart. OPAD directly modifies the model's predictions during inference, ensuring principle adherence without incurring the computational overhead of retraining or fine-tuning. Experiments show that OPAD achieves competitive or superior performance in both general and personalized alignment tasks, demonstrating its efficiency and effectiveness compared to state-of-the-art baselines.

More than 100 people have been killed in air crashes this year already, including in a midair collision between a commercial airliner and a helicopter near Washington, DC, and a plane crashing into a bus on a Sao Paulo street. The fatal incidents in the first two months of the new year came after last year was declared one of the deadliest in aviation history with at least 318 deaths in 11 civilian airplane crashes, including two incidents in the last week of December. While fatal air crashes are rare, they attract extraordinary attention, often reinstilling the fear of flying. At least 25 million adults in the United States alone have a fear of flying, according to the Cleveland Clinic. The fear is often exacerbated not just by the crashes but also incidents like emergency landings, a door blowing off a plane and aircraft skidding off runways.

The Skyrider X1 combines land and air travel in one sleek design. The unveiling of the Skyrider X1, which claims to be the "world's first amphibious flying passenger motorcycle," has certainly stirred up excitement. This innovative vehicle promises to change how we think about personal mobility by combining land and air travel in one sleek design. Developed by Rictor, a sub-brand of the Chinese company Kuickwheel, the Skyrider X1 marks a big progression from Rictor's previous product, the K1 e-bike. Transitioning from an electric bicycle to a flying motorcycle is no small feat, and it shows Rictor's ambition to push the boundaries of eco-friendly and energy-efficient transportation.

In early 2020, when the coronavirus was still a distant concern, my wife and I booked an AirAsia flight to Bali. At the start of lockdown, we scrambled to secure a refund. We called the airline's customer-support line: no dice. We pleaded with its online chatbot, a lobotomized character named AVA. We sent a Twitter message to the brand on March 17 and received a response seven weeks later that read, in full, "Twitter Feedback."

The holiday travel season is once again upon us! It's the magical time of the year that combines standing in airport security lines with incrementally losing your mind as the hands of your watch perpetually tick closer to a boarding time that somehow moved up 45 minutes since you left the house and the goober in front of you is, in the year of our lord 2022, still somehow confused about why we have to take our shoes off in security and, goddamit dude, stop arguing with the TSA and untie your laces already these tickets are nonrefundable. AI can help fix this. It can perhaps even give regular folks a taste of the effortless airport experience that more well-heeled travelers enjoy -- the private jet set who don't ever have to worry about departure times or security lines like the rest of us schmucks stuck flying Spirit. In their latest book POWER AND PREDICTION: The Disruptive Economics of Artificial Intelligence, University of Toronto economists and professors Ajay Agrawal, Joshua Gans and Avi Goldfarb examine the foundational impact that AI/ML systems have on human decision making as we increasingly rely on automation and big data predictions.

The holiday travel season is once again upon us! It's the magical time of the year that combines standing in airport security lines with incrementally losing your mind as the hands of your watch perpetually tick closer to a boarding time that magically moved up 45 minutes since you left the house and the goober in front of you is in the year of our lord 2022 still somehow confused about why we have to take our shoes off in security and goddamit dude stop arguing with the TSA and untie your laces already these tickets are nonrefundable. Ai can help fix this. It can perhaps even give regular folks a taste of the effortless airport experience that more well-heeled travelers enjoy -- the private jet set who don't ever have to worry about departure times or security lines like the rest of us schmucks stuck flying Spirit. In their latest book POWER AND PREDICTION: The Disruptive Economics of Artificial Intelligence, University of Toronto economists and professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb examine the foundational impact that AI/ML systems have on human decision making as we increasingly rely on automation and big data predictions. In the excerpt below, they posit what the airports of tomorrow might look like if AI eliminates traffic congestion and security delays.

Today's consumers want a forum to voice their frustrations with air travel because they tend to feel unheard in the heat of the moment. Emerging technology and crowdsourced data could provide them a means of reporting trip outcomes that would allow other travelers to make smarter decisions about which airline to choose before they book flights. The data could also provide airlines with insights they don't already have. In short, crowdsourced data, analyzed and verified by AI could positively impact the future of air travel. Rating systems use rudimentary data: typically, one to four or five stars, which range from awful to excellent.

The holiday travel season is once again upon us! It's the magical time of the year that combines standing in airport security lines with incrementally losing your mind as the hands of your watch perpetually tick closer to a boarding time that magically moved up 45 minutes since you left the house and the goober in front of you is in the year of our lord 2022 still somehow confused about why we have to take our shoes off in security and goddamit dude stop arguing with the TSA and untie your laces already these tickets are nonrefundable. Ai can help fix this. It can perhaps even give regular folks a taste of the effortless airport experience that more well-heeled travelers enjoy -- the private jet set who don't ever have to worry about departure times or security lines like the rest of us schmucks stuck flying Spirit. In their latest book POWER AND PREDICTION: The Disruptive Economics of Artificial Intelligence, University of Toronto economists and professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb examine the foundational impact that AI/ML systems have on human decision making as we increasingly rely on automation and big data predictions.

Flying has always been a pain: the endless security lines, the hip-checking other passengers to make sure there's overhead room for your rolly bag, the squeezing into a seat, the ear-popping, the spotty internet, the boredom. But these days, the irritation begins much earlier, when passengers start to look for tickets. The average round-trip ticket price in the US was $408 this week, up $100 from the same time in 2019, according to the airfare sales app Hopper. Part of that is pent-up demand from people sick of their homes after a still-not-over pandemic. Another is high fuel prices, spurred upward by the war in Ukraine.

As one of the world's busiest airports, (ranked No. 3 in 2018 according to Airports Council International's world traffic report), Dubai International Airport is also a leader in using artificial intelligence (AI). In fact, the United Arab Emirates (UAE) leads the Arab world with its adoption of artificial intelligence in other sectors and areas of life and has a government that prioritizes artificial intelligence including an AI strategy and Ministry of Artificial Intelligence with a mandate to invest in technologies and AI tools. The Emirates Ministry of the Interior said that by 2020, immigration officers would no longer be needed in the UAE. They will be replaced by artificial intelligence. The plan is to have people just walk through an AI-powered security system to be scanned without taking off shoes or belts or emptying pockets.