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Since their listing in 2024, Kioxia's shares have surged on runaway demand for AI memory chips. Bain Capital has sold its entire stake in flash memory chipmaker Kioxia Holdings, closing a chapter on a deal that's transformed the Japanese tech and investment landscape. "We don't have a stake any more in Kioxia," Bain Managing Partner David Gross said in an interview. The U.S. private equity firm has logged record-setting returns after a global spending spree on AI catapulted Kioxia's shares more than 4,800% from their debut, transforming the chipmaker into one of Japan's most valuable companies. "It's worked spectacularly for all the stakeholders involved," Gross said.

NATO Secretary-General Mark Rutte delivers the keynote speech at the NATO Summit Defense Industry Forum, on the sidelines of the NATO leaders' Summit, in Ankara on Tuesday. NATO allies have agreed to at least $50 billion in defense industry deals, according to an alliance official, to show to U.S. President Donald Trump that Europe is heeding his spending demands. Secretary-General Mark Rutte revealed some of the contracts on Tuesday during a defense industry forum in Ankara, where the military alliance's leaders are meeting for their annual summit this week. Those included $12 billion in deals to buy next-generation drones, surveillance planes and military aircraft. Notably, some of the contracts show Europe moving to locally source some equipment it previously bought from the United States.

Parents warned not to publicly share children's images amid AI abuse risks Parents should not publicly post images of their children online due to the growth of AI-generated abuse imagery, the National Crime Agency (NCA) has warned. Along with the Internet Watch Foundation (IWF), it said there is a growing threat of children's images online being used to create child sexual abuse material (CSAM). More than 8,000 AI-generated images and videos of realistic child sexual abuse were identified by the IWF in 2025, it said - adding this was a 14% increase on the year before. While we and policing colleagues tackle offenders, prevention remains vital, said Tim Wright, a senior manager at the NCA. In partnership with the IWF, the organisation has released fresh guidance for parents outlining steps they can take to help keep their children safe online.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens.

Cutting-edge artificial intelligence technology is poised to supercharge offensive hacking capabilities, and urgent action is needed to face up to the threat, US, UK, Canadian, Australian and New Zealand officials have said. "Frontier AI models are anticipated to exceed current industry expectations, fundamentally transforming both offensive and defensive cyber capabilities," the intelligence alliance commonly known as the Five Eyes said in a three-page statement on Monday. The statement was light on detail and mostly restated core cybersecurity advice, such as swiftly patching faulty software and not putting systems online unless necessary. The officials also urged defenders to use AI "to strengthen defence", for example by identifying weaknesses sooner or responding more quickly to incidents. The warning was another indication of officials' increasing concerns over models such as Anthropic's Mythos or OpenAI's GPT-5.5-Cyber, which are said to allow users to quickly execute complex - and potentially devastating - hacks.

Three things to watch amid Anthropic's latest feud with the government Anthropic's standoff with Washington has already raised new questions about AI safety and sovereignty--and about Chinese competition. For those of you enjoying your summer unaware of Anthropic's latest feud with the US government, here's a recap: In April the company said it had built an AI model called Mythos that was so good at working with code it could pose a global cybersecurity threat. Anthropic gave access to a small group of cybersecurity experts so they could see what they were up against. Then it released a modified version called Fable which it said was safer to the public on Tuesday, June 9. That Friday, the federal government told the company it was a threat to national security and placed export controls on the new release. Anthropic revoked access to both models hours later.

From fake tickets to cloned websites, AI is magnifying World Cup scams. Can fans distinguish between what's real and what's not? You got a World Cup ticket. It arrived in your inbox with a QR code, professional branding, and a confirmation email that looked like the real thing. For years, spotting a scam was relatively simple.

Current benchmarks for evaluating large language models (LLMs) in social media moderation completely overlook a serious threat: covert advertisements, which disguise themselves as regular posts to deceive and mislead consumers into making purchases, leading to significant ethical and legal concerns. In this paper, we present the CHASM, a first-of-its-kind dataset designed to evaluate the capability of Multimodal Large Language Models (MLLMs) in detecting covert advertisements on social media. CHASM is a high-quality, anonymized, manually curated dataset consisting of 4,992 instances, based on real-world scenarios from the Chinese social media platform Rednote. The dataset was collected and annotated under strict privacy protection and quality control protocols. It includes many product experience sharing posts that closely resemble covert advertisements, making the dataset particularly challenging.The results show that under both zero-shot and in-context learning settings, none of the current MLLMs are sufficiently reliable for detecting covert advertisements.Our further experiments revealed that fine-tuning open-source MLLMs on our dataset yielded noticeable performance gains. However, significant challenges persist, such as detecting subtle cues in comments and differences in visual and textual structures.We provide in-depth error analysis and outline future research directions. We hope our study can serve as a call for the research community and platform moderators to develop more precise defenses against this emerging threat.