The new Ferrari Luce, the brainchild of iPhone designer Sir Jony Ive, is unlike anything the Italian carmaker has ever created - so is the backlash it is facing. Its launch was such a big deal that Italian President Sergio Mattarella and Pope Leo were invited to view the luxury brand's first electric vehicle (EV). But internet critics, investors and even politicians have hit out at the Luce - which is Italian for light. The firm's shares fell 8% the day after the unveiling, as a host of memes mocked the $640,000 (£475,625) car, which is also its first five-seater. It comes as the global motor industry faces a number of major challenges, including fierce competition from Chinese carmakers.

Is the Ferrari Luce's Design Really That Bad? 3 Italian Auto Experts Weigh In The first electric Ferrari is already this year's most divisive car. We asked three Italian auto industry professionals to explain where the EV's design makes sense, and where it doesn't add up. The Ferrari Luce, the first electric vehicle in the brand's history, has generated heated discussion online, as comments and opinions about the design continue to bounce around the web. The Luce, an electric sedan with a $650,000 price tag that Ferrari presented with pomp and circumstance at the Quirinale in Rome on Monday, has paid dearly for its coming out from behind the curtain. Since Monday, the automaker has been suffering an avalanche of complaints and skepticism about the Luce.

Best Power Banks Best Smart Rings Routers vs. Modems Choose the Right Laptop Smart Sprinklers Deals Delivered But This Is Why It's Heartbreaking Designed by Jony Ive and a host of ex-Cupertino colleagues, the Luce shows us what might have been had Apple made good on its $10 billion bet. You know things are bad when the Pope gets involved . No doubt reeling from a launch that somehow went down even worse than Ferrari itself anticipated, the Italian carmaker sought to get the endorsement of none other than His Holiness Pope Leo XIV for its first EV, the Luce. Guided by Ferrari chairman John Elkann and senior Ferrari executives, in a hillside town about 15 miles southeast of Rome, the pontiff sat in the driver's seat and listened patiently as test driver Raffaele De Simone explained the vehicle's controls and driving modes as if he really was speaking to a man clearly in the market for a 1,000-horsepower electric car capable of hitting 62 mph in 2.5 seconds. Meanwhile, as Pope Leo was no doubt pondering how the Luce could boast one of the largest batteries in any production EV yet still only manage a maximum 329 miles, or how an accelerometer on the rear axle somehow worked like a guitar pickup to create in-cabin sound like an "instrument," the market was speaking.

Ferrari's New Jony Ive-Designed EV Is Swathed in Glass and Aluminum We got a peek at the interior of Ferrari's new Luce electric car, which was dreamed up by famed ex-Apple designer and his firm, LoveFrom. It looks and feels a whole lot like an Apple product. Despite Ferrari dramatically scaling back its EV plans at the end of 2025, it's no exaggeration to say that the reveal of the Italian automaker's first full electric car is going to be automotive event of 2026. While the exterior is still under wraps, Ferrari has unveiled the interior of its upcoming electric vehicle designed by LoveFrom, the creative firm of Apple's former chief designer, Jony Ive. It may not turn out quite like the Project Titan car Apple worked on for a decade then killed in 2024, but it sure does look like it has similar DNA. "We are entering a new era in Ferrari," the company's CEO Benedetto Vigna said at the unveiling, which took place last week at San Francisco's pyramid-shaped Transamerica building.

As datasets capturing human choices grow in richness and scale, particularly in online domains, there is an increasing need for choice models flexible enough to handle data that violate traditional choice-theoretic axioms such as regularity, stochastic transitivity, or Luce's choice axiom. In this work we introduce the Pairwise Choice Markov Chain (PCMC) model of discrete choice, an inferentially tractable model that does not assume these traditional axioms while still satisfying the foundational axiom of uniform expansion, which can be viewed as a weaker version of Luce's axiom. We show that the PCMC model significantly outperforms the Multinomial Logit (MNL) model in prediction tasks on two empirical data sets known to exhibit violations of Luce's axiom. Our analysis also synthesizes several recent observations connecting the Multinomial Logit model and Markov chains; the PCMC model retains the Multinomial Logit model as a special case.

As datasets capturing human choices grow in richness and scale--particularly in online domains--there is an increasing need for choice models that escape traditional choice-theoretic axioms such as regularity, stochastic transitivity, and Luce's choice axiom. In this work we introduce the Pairwise Choice Markov Chain (PCMC) model of discrete choice, an inferentially tractable model that does not assume any of the above axioms while still satisfying the foundational axiom of uniform expansion, a considerably weaker assumption than Luce's choice axiom. We show that the PCMC model significantly outperforms both the Multinomial Logit (MNL) model and a mixed MNL (MMNL) model in prediction tasks on both synthetic and empirical datasets known to exhibit violations of Luce's axiom. Our analysis also synthesizes several recent observations connecting the Multinomial Logit model and Markov chains; the PCMC model retains the Multinomial Logit model as a special case.

As datasets capturing human choices grow in richness and scale--particularly in online domains--there is an increasing need for choice models that escape traditional choice-theoretic axioms such as regularity, stochastic transitivity, and Luce's choice axiom. In this work we introduce the Pairwise Choice Markov Chain (PCMC) model of discrete choice, an inferentially tractable model that does not assume any of the above axioms while still satisfying the foundational axiom of uniform expansion, a considerably weaker assumption than Luce's choice axiom. We show that the PCMC model significantly outperforms both the Multinomial Logit (MNL) model and a mixed MNL (MMNL) model in prediction tasks on both synthetic and empirical datasets known to exhibit violations of Luce's axiom. Our analysis also synthesizes several recent observations connecting the Multinomial Logit model and Markov chains; the PCMC model retains the Multinomial Logit model as a special case.

As datasets capturing human choices grow in richness and scale, particularly in online domains, there is an increasing need for choice models flexible enough to handle data that violate traditional choice-theoretic axioms such as regularity, stochastic transitivity, or Luce's choice axiom. In this work we introduce the Pairwise Choice Markov Chain (PCMC) model of discrete choice, an inferentially tractable model that does not assume these traditional axioms while still satisfying the foundational axiom of uniform expansion, which can be viewed as a weaker version of Luce's axiom. We show that the PCMC model significantly outperforms the Multinomial Logit (MNL) model in prediction tasks on two empirical data sets known to exhibit violations of Luce's axiom. Our analysis also synthesizes several recent observations connecting the Multinomial Logit model and Markov chains; the PCMC model retains the Multinomial Logit model as a special case. Papers published at the Neural Information Processing Systems Conference.