Language models (LMs) often struggle to generate diverse, human-like creative content, raising concerns about the long-term homogenization of human thought through repeated exposure to similar outputs. Yet scalable methods for evaluating LM output diversity remain limited, especially beyond narrow tasks such as random number or name generation, or beyond repeated sampling from a single model. We introduce Infinity-Chat, a large-scale dataset of 26K diverse, real-world, open-ended user queries that admit a wide range of plausible answers with no single ground truth. We introduce the first comprehensive taxonomy for characterizing the full spectrum of open-ended prompts posed to LMs, comprising 6 top-level categories (e.g., brainstorm & ideation) that further breaks down to 17 subcategories. Using Infinity-Chat, we present a large-scale study of mode collapse in LMs, revealing a pronounced Artificial Hivemind effect in open-ended generation of LMs, characterized by (1) intra-model repetition, where a single model consistently generates similar responses, and more so (2) inter-model homogeneity, where different models produce strikingly similar outputs. Infinity-Chat also includes 31,250 human annotations, across absolute ratings and pairwise preferences, with 25 independent human annotations per example. This enables studying collective and individual-specific human preferences in response to open-ended queries. Our findings show that LMs, reward models, and LM judges are less well calibrated to human ratings on model generations that elicit differing idiosyncratic annotator preferences, despite maintaining comparable overall quality. Overall, INFINITY-CHAT presents the first large-scale resource for systematically studying real-world open-ended queries to LMs, revealing critical insights to guide future research for mitigating long-term AI safety risks posed by the Artificial Hivemind.

In 2012, the return of the Porsche Factory Team to the top LMP1 class was officially announced. This is how the Porsche 919 Hybrid was born. In 2014 was the first season, when the 919 took part in the FIA World Endurance Championship racing series and Porsche managed to achieve the overall 3rd place in its first season. During the next 3 seasons 2015, 2016 and 2017 the Porsche 919 Hybrid dominated the racing series and managed to achieve the hattrick both in terms of victories in 24-hours of Le Mans as well as overall series victory. All summed up, the 6 Championship titles and 3 overall victories in Le Mans in 4 seasons made the Porsche 919 Hybrid a legend.

The history of Porsche Endurance Racing is one of the most exciting and successful and probably unparalleled by any. During the decades, legends like 917, 956, 911 GT1 collected victories on racetracks around the world. Among those, surely, the 24-hours of Le Mans is the absolute pinnacle. No other brand managed to collect as many overall victories as Porsche in this race. In 2012, the return of the Porsche Factory Team to the top LMP1 class was officially announced.

It isn't often that one car completely dominates the conversation at a major international auto show. And it isn't often that one car so completely symbolizes a company's return from the brink of ruin. But that exact confluence happened in January 2015 in Detroit, at the North American International Auto Show, the biggest car show of them all. The unveiling of Ford's new GT supercar was the culmination of a year of tantalizing rumors, which had begun to take shape in the fall of 2014 and then built momentum. The speculation went something like this: with 2016 right around the corner, the Ford Motor Company was seriously contemplating a return to what practically everyone in racing considers the automaker's moment of purest glory on the track, Le Mans in '66. Everyone did the math: 2016 minus 1966 was fifty years.