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Core contradictions escalate. According to a report by The Wall Street Journal, the commercial conflicts between the artificial intelligence research institution OpenAI and its main partner Microsoft continue to escalate. There are serious disagreements on key issues such as equity structure, technical control rights, and market strategies, which may lead OpenAI to file an antitrust complaint with regulators.

With the ongoing impact of Trump-era tariffs, businesses face increasing geopolitical risks. Making effective decisions in a rapidly changing environment presents a significant challenge for corporations, non-profits, and consulting firms. London-based startup Hence AI recently launched Hence Global, an AI software product designed to help organizations monitor and manage these risks. Hence Global offers two primary functions: Firstly, it provides risk tracking for companies of all sizes.

In today's rapidly developing digital business environment, risk control systems have become a core defense line for enterprises against black production, fraud, and ensuring transaction security. However, traditional risk control faces challenges such as high reliance on manpower and lagging strategies. Data analysts need to manually extract risk characteristics and design protection rules from massive amounts of data daily, which is time-consuming and laborious; new strategies often take days or even weeks to be discovered and launched, while black production has already iterated its attack methods. How can we make risk control systems think and evolve in real-time like humans? The answer lies in the deep integration of AI Agents and risk control systems. Breakthrough.

Recently, a Russian hacker identifying as 'emirking' posted what he claimed to be login credentials for 20 million OpenAI ChatGPT accounts on the famous hacker market BreachForums and is selling them at a price. This news was jointly released by AI startup OpenAI and cybersecurity firm Malwarebytes Labs on Friday, highlighting the seriousness of cybersecurity threats. Image source note: Image generated by AI, image licensed by provider.

Mindgard has announced the completion of $8 million in funding aimed at accelerating its research and development efforts and expanding its presence in the U.S. market. The financing round was led by .406Ventures, with participation from Atlantic Bridge, Willowtree Investments, and existing investors IQ Capital and Lakestar. Additionally, Mindgard has appointed two industry leaders to take on the roles of Head of Product and Head of Marketing.

Recently, an investigation by the UK Guardian revealed potential security vulnerabilities in OpenAI's ChatGPT search tool. The inquiry found that ChatGPT could be manipulated when processing web summaries containing hidden content, potentially returning malicious code. This hidden content may include third-party instructions designed to disrupt ChatGPT's responses or large amounts of concealed text promoting a specific product or service. Image source note: The image is AI-generated, tested by the image licensing service provider Midjourney.

OpenAI recently launched its video generation model Sora, but the training data for the model may contain a lot of copyrighted game content, raising concerns about legal issues. Sora can generate videos of up to 20 seconds based on user text prompts or images, supporting various aspect ratios and resolutions. At the time of its release, OpenAI mentioned that Sora's training data includes Minecraft videos, sparking curiosity about other potentially used game content. In practical tests, Sora is able to...

Google recently launched its next-generation artificial intelligence model, PaliGemma2, which can analyze images and generate captions while answering questions about the emotions and actions of people in the photos. Built on Google's Gemma open model series, PaliGemma2 offers more profound image descriptions than traditional object recognition, enabling it to identify emotions and generate contextually relevant detailed descriptions. However, despite this technology appearing to be a groundbreaking innovation, experts have raised serious warnings about its potential ethical and societal implications. Emotion recognition is not...

With the advancement of artificial intelligence technology, tech companies like Google and Meta are using user comments or reviews to generate AI responses on their platforms, which may lead to new defamation law risks. Legal experts in Australia point out that when users post allegedly defamatory comments on Google or Facebook, it is typically the users themselves who face legal liability. However, a significant ruling by the High Court of Australia in the Dylan Voller case in 2021 held that platforms hosting defamatory comments, such as social media pages, may also be held responsible for them.