The French book scene is in uproar after a Canadian-Haitian author billed as a sensation was accused of using artificial intelligence (AI) to write his first novel. Thélyson Orélien, 38, has just been awarded the Prix du Roman Fnac - the first of the literary season's prizes - for C'était ça ou mourir (It was either that or die). He is also a finalist for the most prestigious annual French language awards, the Goncourt and the Renaudot, set to be issued soon. But on Tuesday a little-known group called Balance ton Claude (Denounce your Claude, in reference to Anthropic's AI assistant) claimed the book was almost totally written by AI - a charge the author denied. We tested several passages, from different bits of the manuscript, to come up with the identical result: 100 percent AI, the group said on X.

Haitian gang member Wisteguens Jean Quely Charles, who told ICE cameras "Biden forever" during his viral arrest, has been deported to Haiti by the Trump administration.

Navy robots from Gecko Robotics will inspect U.S. warships in $71 million effort to reduce maintenance delays as only 60% of fleet remains operational amid China's naval expansion.

Recent language models have shown impressive multilingual performance, even when not explicitly trained for it. Despite this, there are concerns about the quality of their outputs across different languages. In this paper, we show how disparity in the treatment of different languages arises at the tokenization stage, well before a model is even invoked. The same text translated into different languages can have drastically different tok-enization lengths, with differences up to 15 times in some cases. These disparities persist even for tokenizers that are intentionally trained for multilingual support.

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