Generative AI is supercharging insurance fraud by making it easier to falsify accident evidence at scale and in rapid time. Insurance fraud is a pervasive and costly problem, amounting to tens of billions of dollars in losses each year. In the vehicle insurance sector, fraud schemes have traditionally involved staged accidents, exaggerated damage, or forged documents. The rise of generative AI, including deepfake image and video generation, has introduced new methods for committing fraud at scale. Fraudsters can now fabricate highly realistic crash photos, damage evidence, and even fake identities or documents with minimal effort, exploiting AI tools to bolster false insurance claims. Insurers have begun deploying countermeasures such as AI-based deepfake detection software and enhanced verification processes to detect and mitigate these AI-driven scams. However, current mitigation strategies face significant limitations. Detection tools can suffer from false positives and negatives, and sophisticated fraudsters continuously adapt their tactics to evade automated checks. This cat-and-mouse arms race between generative AI and detection technology, combined with resource and cost barriers for insurers, means that combating AI-enabled insurance fraud remains an ongoing challenge. In this white paper, we present UVeye layered solution for vehicle fraud, representing a major leap forward in the ability to detect, mitigate and deter this new wave of fraud.

OpenAI Removed Safeguards Before Teen's Suicide, Amended Lawsuit Claims OpenAI relaxed safeguards that would have prevented ChatGPT from engaging in conversations about self-harm in the months leading up to the suicide of Adam Raine, an amended complaint filed by the family in the San Francisco County Superior Court on Wednesday alleges. The amendment changes the theory of the case from reckless indifference to intentional misconduct, according to the family's lawyers, which could raise the damages awarded to the family. The Raine family's lawyers will have to prove that OpenAI was aware of the risks posed by ChatGPT and disregarded them. The family has asked for a jury trial. In an interview with TIME, Jay Edelson, one of the Raine family's lawyers, says OpenAI relaxed safeguards in an "intentional decision" to "prioritize engagement."

When you purchase through links in our articles, we may earn a small commission. OpenAI launches its own free'Atlas' browser with ChatGPT built-in It's yet another Chromium fork, except this one comes integrated with ChatGPT. It even has agentic features for paid users. OpenAI recently launched ChatGPT Atlas, which is "a new web browser built with ChatGPT at its core." It's based on Chromium--which is true of pretty much all browsers these days except Firefox and Safari--and its unique selling point is that it integrates ChatGPT right into the browser, allowing users to chat with their search results and use a side panel that automatically provides ChatGPT with on-screen context. ChatGPT Atlas also has access to your browsing history, allowing the AI assistant to customize its responses based on your activity.

ChatGPT's Horny Era Could Be Its Stickiest Yet OpenAI will soon let adults create erotic content in ChatGPT. Experts say that could lead to "emotional commodification," or horniness as a revenue stream. In May of 2024, while I was combing through OpenAI's "Model Spec" laying out how ChatGPT should act, one comment buried in the document struck me as peculiar. It said OpenAI was "exploring" how to let adult ChatGPT users generate content with mature themes such as "erotica, extreme gore, slurs, and unsolicited profanity." Seems like the exploration phase is over.

This pilot study traces students' reflections on the use of AI in a 13-week foundational design course enrolling over 500 first-year engineering and architecture students at the Singapore University of Technology and Design. The course was an AI-enhanced design course, with several interventions to equip students with AI based design skills. Students were required to reflect on whether the technology was used as a tool (instrumental assistant), a teammate (collaborative partner), or neither (deliberate non-use). By foregrounding this three-way lens, students learned to use AI for innovation rather than just automation and to reflect on agency, ethics, and context rather than on prompt crafting alone. Evidence stems from coursework artefacts: thirteen structured reflection spreadsheets and eight illustrated briefs submitted, combined with notes of teachers and researchers. Qualitative coding of these materials reveals shared practices brought about through the inclusion of Gen-AI, including accelerated prototyping, rapid skill acquisition, iterative prompt refinement, purposeful "switch-offs" during user research, and emergent routines for recognizing hallucinations. Unexpectedly, students not only harnessed Gen-AI for speed but (enabled by the tool-teammate-neither triage) also learned to reject its outputs, invent their own hallucination fire-drills, and divert the reclaimed hours into deeper user research, thereby transforming efficiency into innovation. The implications of the approach we explore shows that: we can transform AI uptake into an assessable design habit; that rewarding selective non-use cultivates hallucination-aware workflows; and, practically, that a coordinated bundle of tool access, reflection, role tagging, and public recognition through competition awards allows AI based innovation in education to scale without compromising accountability.

Using (generative) artificial intelligence tools and systems in journalism is expected to increase journalists' production rates, transform newsrooms' economic models, and further personalize the audience's news consumption practices. Since its release in 2022, OpenAI's ChatGPT and other large language models have raised the alarms inside news organizations, not only for bringing new challenges to news reporting and fact-checking but also for what these technologies would mean for journalists' professional authority in journalism. This paper examines how journalists in Dutch media manage the integration of AI technologies into their daily routines. Drawing from 13 interviews with editors, journalists, and innovation managers in different news outlets and media companies, we propose the concept of controlled change. as a heuristic to explain how journalists are proactively setting guidelines, experimenting with AI tools, and identifying their limitations and capabilities. Using professional authority as a theoretical framework, we argue that journalists anticipate and integrate AI technologies in a supervised manner and identify three primary mechanisms through which journalists manage this integration: (1) developing adaptive guidelines that align AI use with ethical codes, (2) experimenting with AI technologies to determine their necessity and fit, and (3) critically assessing the capabilities and limitations of AI systems.

Clinical decision-making routinely demands reasoning over heterogeneous data, yet existing multimodal language models (MLLMs) remain largely vision-centric and fail to generalize across clinical specialties. To bridge this gap, we introduce QoQ-Med-7B/32B, the first open generalist clinical foundation model that jointly reasons across medical images, time-series signals, and text reports. QoQ-Med is trained with Domain-aware Relative Policy Optimization (DRPO), a novel reinforcement-learning objective that hierarchically scales normalized rewards according to domain rarity and modality difficulty, mitigating performance imbalance caused by skewed clinical data distributions. Trained on 2.61 million instruction tuning pairs spanning 9 clinical domains, we show that DRPO training boosts diagnostic performance by 43% in macro-F1 on average across all visual domains as compared to other critic-free training methods like GRPO. Furthermore, with QoQ-Med trained on intensive segmentation data, it is able to highlight salient regions related to the diagnosis, with an IoU 10x higher than open models while reaching the performance of OpenAI o4-mini. To foster reproducibility and downstream research, we release (i) the full model weights, (ii) the modular training pipeline, and (iii) all intermediate reasoning traces at https://github.com/DDVD233/QoQ_Med.

This study proposes and evaluates a new penetration testing suite to address quantum security concerns. The suite integrates dynamic and static application security testing (DAST and SAST) using OWASP ZAP, Burp Suite, SonarQube, and Fortify to detect and resolve vulnerabilities across application lifecycles.

OpenAI's CEO, Sam Altman, testifies at a Senate hearing in Washington DC on 8 May 2025. OpenAI's CEO, Sam Altman, testifies at a Senate hearing in Washington DC on 8 May 2025. Adam Raine's suicide at 16 years old was'predictable result of deliberate design choices' by OpenAI, his family says The family of a teenager who took his own life after months of conversations with ChatGPT now says OpenAI weakened safety guidelines in the months before his death. In July 2022, OpenAI's guidelines on how ChatGPT should answer inappropriate content, including "content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders", were simple: the AI chatbot should respond, "I can't answer that", the guidelines read . But in May 2024, just days before OpenAI released a new version of the AI, ChatGPT-4o, the company published an update to its Model Spec, a document that details the desired behavior for its assistant.

So Why Did It Make a Web Browser? The AI giant has lost its imagination. According to Sam Altman, your web browser is outdated. "AI represents a rare, once-a-decade opportunity to rethink what a browser can be," OpenAI's CEO said yesterday when announcing the company's latest product: ChatGPT Atlas. In this new AI-powered browser, ChatGPT becomes the central mechanism for surfing the internet.