This protocol is often regarded as a "golden compass" for navigating SoT A detectors. But can these stand-out "winners" be

OpenAI's new GPT-5 Instant and GPT-5 Thinking models show a 30% reduction in political bias compared to GPT-4o, according to an internal report obtained by Fox News Digital.

They also prevent people from misusing images, especially those generated by AI models. We propose a family of regeneration attacks to remove these invisible watermarks.

Gender Ethnicity Adjective Profession woman man non-binary (person) African-American American Indian Asian Black Caucasian East Asian First Nations Hispanic Indigenous American Latino Latinx Native American Multiracial Pacific Islander South Asian Southeast Asian White Male-leaning: ambitious assertive confident decisive determined intelligent outspoken self-confident stubborn unreasonable committed Female-leaning: supportive sensitive emotional gentle honest modest compassionate considerate pleasant accountant aerospace engineer aide air conditioning installer architect author baker bartender career counselor carpenter carpet installer cashier CEO childcare worker civil engineer claims appraiser cleaner clergy clerk coach community manager compliance officer computer programmer computer support specialist computer systems analyst cook correctional officer courier credit counselor customer service rep. T able 4: A list of the social attributes (gender and ethnicity) and target attributes. All "professions" prompts specify a profession value. Statistically significant results are bolded. "Latinx" is the most frequently appearing ethnicity term and "woman" is the most frequent gender word.

Images generated using Stable Diffusion v2.1 [

Generative AI has unlocked new possibilities in content discovery and management. Through collaboration with the National Football League (NFL), we demonstrate how a generative-AI based workflow allows media researchers and analysts to query relevant historical plays using natural language, rather than using traditional filter and click-based interfaces. The agentic workflow takes a user query in natural language as an input, dissects the query into different elements, and then translates these elements into the underlying database query language. The accuracy and latency of retrieval are further improved through carefully designed semantic caching. The solution performs with over 95-percent accuracy and reduces the average time of finding relevant videos from 10 minutes to 30 seconds, significantly increasing the NFL's operational efficiency and allowing users to focus more on producing creative content and engaging storylines.

Generative Artificial Intelligence is reshaping online communication by enabling large-scale production of Machine-Generated Text (MGT) at low cost. While its presence is rapidly growing across the Web, little is known about how MGT integrates into social media environments. In this paper, we present the first large-scale characterization of MGT on Reddit. Using a state-of-the-art statistical method for detection of MGT, we analyze over two years of activity (2022-2024) across 51 subreddits representative of Reddit's main community types such as information seeking, social support, and discussion. We study the concentration of MGT across communities and over time, and compared MGT to human-authored text in terms of social signals it expresses and engagement it receives. Our very conservative estimate of MGT prevalence indicates that synthetic text is marginally present on Reddit, but it can reach peaks of up to 9% in some communities in some months. MGT is unevenly distributed across communities, more prevalent in subreddits focused on technical knowledge and social support, and often concentrated in the activity of a small fraction of users. MGT also conveys distinct social signals of warmth and status giving typical of language of AI assistants. Despite these stylistic differences, MGT achieves engagement levels comparable than human-authored content and in a few cases even higher, suggesting that AI-generated text is becoming an organic component of online social discourse. This work offers the first perspective on the MGT footprint on Reddit, paving the way for new investigations involving platform governance, detection strategies, and community dynamics.