Current methods like membership inference or active IP protection either work only in settings where the suspected text is known or do not provide reliable statistical guarantees. We discover that, on the contrary, it is possible to reliably determine if a language model was trained on synthetic data if that data is output by a watermarked LLM.

End-to-end object detection with transformers.

The former task requires the model to learn to reason over a given image following program guidance.

When OpenAI launched GPT-5 last week, it told software engineers the model was designed to be a "true coding collaborator" that excels at generating high-quality code and performing agentic, or automated, software tasks. While the company didn't say so explicitly, OpenAI appeared to be taking direct aim at Anthropic's Claude Code, which has quickly become many developers' favored tool for AI-assisted coding. But developers tell WIRED that GPT-5 has been a mixed bag so far. It shines at technical reasoning and planning coding tasks, but some say that Anthropic's newest Opus and Sonnet reasoning models still produce better code. Depending on which version of GPT-5 developers are using--low, medium, or high verbosity--the model can be more elaborative, which sometimes leads it to generate unnecessary or redundant lines of code.

John Scalzi is a voluble man. He is the author of several New York Times best sellers and has been nominated for nearly every major award that the science-fiction industry has to offer--some of which he's won multiple times. Over the course of his career, he has written millions of words, filling dozens of books and 27 years' worth of posts on his personal blog. All of this is to say that if one wants to cite Scalzi, there is no shortage of material. But this month, the author noticed something odd: He was being quoted as saying things he'd never said.

Causal traces show that the last token of the subject name is not always decisive.

Never mind the GPT-5 complaints; Sam Altman says he believes ChatGPT is on track to have more conversations per day than all human beings combined. "If you project our growth forward, pretty soon billions of people a day will be talking to ChatGPT," said the CEO of OpenAI during a dinner with journalists in San Francisco. "ChatGPT will be having more conversations, maybe, than all human words put together, at some point. I think it's unreasonable to expect a single model personality or style to work for all of that." The remarks followed the chaotic launch of a long-awaited new flagship model, GPT-5, which some users felt had a less friendly and supportive personality. As part of the launch, OpenAI stopped offering users access to the prior model, GPT-4o.

NLP research have pursued goals like generalization to new classes [e.g.,

Fox News anchor Bret Baier examines the U.S. power supply on'Special Report.' Artificial intelligence is everywhere these days -- in your phone, your car, even your washing machine. I saw one just the other day featuring built-in AI. And while that might sound a little over the top, there's no denying that artificial intelligence has made life easier in a lot of ways. From boosting productivity to unlocking new creative tools, it's changing how we work and live.