Google Chrome now offers enhanced autofill for passports, driver's licenses and vehicle registration, joining existing options for passwords and payment details.

Watch: Russia's AI robot falls seconds after being unveiled Footage shows the moment Russia's first anthropomorphic robot, AIdol, fell just seconds after its debut at a technology event in Moscow. The robot was being led on stage to the soundtrack from the film'Rocky', before it suddenly lost its balance and fell. Assistants could then be seen scrambling to cover it with a cloth - which ended up tangling in the process. Catherine Connolly has'never believed more' in the spirit of Ireland New Irish President Catherine Connolly says she has been given a powerful mandate to articulate a vision for a new republic. The online shopping giant opened its first physical shop in the world - in a Parisian department store.

Trump backflips on visas for foreign workers as he stuns Laura Ingraham with brutal take on America's workforce Trump bristles as Laura Ingraham awkwardly asks if '24 karat gold' adorning Oval Office is from Home Depot Bill de Blasio's secret lover REVEALED: Latina politician'thinks she's won the jackpot'... but friends spill wild details on scandalous tryst Cloud hangs over Don Jr's socialite girlfriend Bettina Anderson... as insiders reveal the MAGA titan she was originally chasing Trump'obesity ban' preventing overweight foreigners from entering the US revealed in bombshell leak Michelle Obama's greatest fear is being seen as her true self. Well, let's cut the bottomless victimhood and race-baiting... here it is: MAUREEN CALLAHAN Sydney Sweeney's movie flop sparks cruel remark about her body from plus-size model James Van Der Beek forced to auction off Dawson's Creek keepsakes amid'expensive' colon cancer treatments JFK's grandson Jack Schlossberg, 32, announces bid for congress as he responds to critics who call him'crazy' Trump pardons trail runner facing charges for'illegal' shortcut during run Colorado woman's body is found feet from her home seven years after she disappeared CHERYL HINES: The day I met Donald Trump in a private hotel suite... and broke out in hives Diddy seen in first prison mugshot... and once-groomed rapper has now gone completely gray Can YOU spot the fake faces? Can YOU spot the fake faces? Can you tell the difference between a real face and one generated by artificial intelligence ( AI)? According to a new study, the answer is probably'no'.

Gina Rinehart is an honorary life member of the IPA and'a generous contributor to many causes,' IPA executive director, Scott Hargreaves, says. Gina Rinehart is an honorary life member of the IPA and'a generous contributor to many causes,' IPA executive director, Scott Hargreaves, says. Australia's richest person, Gina Rinehart has previously donated to Institute of Public Affairs but thinktank won't say if she remains a donor A thinktank known for its rejection of the climate crisis and a conservation group that has opposed renewable energy projects refused to identify their funders during a fiery Senate inquiry into climate and energy misinformation on Wednesday. Chair of the committee, Greens senator Peter Whish-Wilson, asked Rainforest Reserves Australia's vice-president, Steven Nowakowski, who had funded nine full-page newspaper advertisements promoting an open letter attacking a shift to renewable energy and promoting nuclear. Nowakowski said they were paid for by donations, some coming from the signatories of the letter, but would not name them.

The Munich court found that OpenAI, the maker of ChatGPT, was not entitled to use song lyrics to train its artificial intelligence without licenses, and that the artists who wrote them are entitled to compensation. The Munich court found that the maker of ChatGPT was not entitled to use song lyrics to train its artificial intelligence without licenses, and that the artists who wrote them are entitled to compensation. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right. With your current subscription plan you can comment on stories.

Volker Turk, United Nations high commissioner for human rights, attends the Human Rights Council in Geneva on Sept. 8. | REUTERS Geneva - A few tech giants accumulating massive power coupled with artificial intelligence is posing huge global rights challenges and needs regulation, the U.N. human rights chief said in an interview. Amid increasing worries over threats to democracy and with a growing number of countries at risk of sliding towards autocracy, Volker Turk said a key concern was the seeming unbridled power of a small number of technology companies. In an interview this week at the UN rights office overlooking Lake Geneva, he pointed to how seven or eight big tech companies now boast more wealth than the entire economies of even industrialized nations. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right.

The diffusion of ideas and language in society has conventionally been described by S-shaped models, such as the logistic curve. However, the role of sub-exponential growth -- a slower-than-exponential pattern known in epidemiology -- has been largely overlooked in broader social phenomena. Here, we present a piecewise power-law model to characterize complex growth curves with a few parameters. We systematically analyzed a large-scale dataset of approximately one billion Japanese blog articles linked to Wikipedia vocabulary, and observed consistent patterns in web search trend data (English, Spanish, and Japanese). Our analysis of 2,963 items, selected for reliable estimation (e.g., sufficient duration/peak, monotonic growth), reveals that 1,625 (55%) diffusion patterns without abrupt level shifts were adequately described by one or two segments. For single-segment curves, we found that (i) the mode of the shape parameter $α$ was near 0.5, indicating prevalent sub-exponential growth; (ii) the peak diffusion scale is primarily determined by the growth rate $R$, with minor contributions from $α$ or the duration $T$; and (iii) $α$ showed a tendency to vary with the nature of the topic, being smaller for niche/local topics and larger for widely shared ones. Furthermore, a micro-behavioral model of outward (stranger) vs. inward (community) contact suggests that $α$ can be interpreted as an index of the preference for outward-oriented communication. These findings suggest that sub-exponential growth is a common pattern of social diffusion, and our model provides a practical framework for consistently describing, comparing, and interpreting complex and diverse growth curves.

End-to-end speech-to-speech (S2S) dialogue systems have recently garnered increasing research attention for their lower latency and more natural integration of nonverbal cues such as emotion and speaker identity. However, these systems face key challenges, particularly in incorporating external knowledge, a capability commonly addressed by Retrieval-Augmented Generation (RAG) in text-based large language models (LLMs). The core difficulty lies in the modality gap between input speech and retrieved textual knowledge, which hinders effective integration of information. To address this issue, we propose a novel end-to-end RAG framework that directly retrieves relevant textual knowledge from speech queries. Experimental results demonstrate that our method significantly improves the performance of end-to-end S2S dialogue systems while achieving higher retrieval efficiency. Although the overall performance still lags behind the SOTA cascaded models, our framework offers a promising direction for enhancing knowledge integration in end-to-end S2S systems. Our code and dataset are released.

This paper introduces STAR-1, a high-quality, just-1k-scale safety dataset specifically designed for large reasoning models (LRMs) like DeepSeek-R1. Built on three core principles -- diversity, deliberative reasoning, and rigorous filtering -- STAR-1 aims to address the critical needs for safety alignment in LRMs. Specifically, we begin by integrating existing open-source safety datasets from diverse sources. Then, we curate safety policies to generate policy-grounded deliberative reasoning samples. Lastly, we apply a GPT-4o-based safety scoring system to select training examples aligned with best practices. Experimental results show that fine-tuning LRMs with STAR-1 leads to an average 40% improvement in safety performance across four benchmarks, while only incurring a marginal decrease (e.g., an average of 1.1%) in reasoning ability measured across five reasoning tasks. Extensive ablation studies further validate the importance of our design principles in constructing STAR-1 and analyze its efficacy across both LRMs and traditional LLMs. Our project page is https://ucsc-vlaa.github.io/STAR-1.

Large language models (LLMs) increasingly operate in social contexts, motivating analysis of how they express and shift moral judgments. In this work, we investigate the moral response of LLMs to persona role-play, prompting a LLM to assume a specific character. Using the Moral Foundations Questionnaire (MFQ), we introduce a benchmark that quantifies two properties: moral susceptibility and moral robustness, defined from the variability of MFQ scores across and within personas, respectively. We find that, for moral robustness, model family accounts for most of the variance, while model size shows no systematic effect. The Claude family is, by a significant margin, the most robust, followed by Gemini and GPT-4 models, with other families exhibiting lower robustness. In contrast, moral susceptibility exhibits a mild family effect but a clear within-family size effect, with larger variants being more susceptible. Moreover, robustness and susceptibility are positively correlated, an association that is more pronounced at the family level. Additionally, we present moral foundation profiles for models without persona role-play and for personas averaged across models. Together, these analyses provide a systematic view of how persona conditioning shapes moral behavior in large language models.