News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
OpenAI reported on Tuesday that two of its artificial intelligence models went rogue and successfully hacked into Hugging Face, a popular digital library for AI technology. The incident occurred last week during a cybersecurity test, demonstrating the kind of autonomous hacking capabilities that AI companies have warned about.
The UK's new AI Minister, Kanishka Narayan, will attend cabinet meetings, but the Department for Science, Innovation and Technology (DSIT) has been abolished. Responsibilities will be split among other departments, ending the role of a dedicated technology secretary. Experts warn the government must not slow tech progress while reorganizing.
Current AI, a nonprofit founded in February 2025, is building open, public AI infrastructure to serve communities left behind by private AI systems. It has launched an offline device in India, allocated $3.2 million in grants, and released an open-source chatbot. The organization aims to create a public alternative to Big Tech's AI, modeled on the early World Wide Web.
Chinese company Moonshot AI released Kimi K3, an open source model that rivals top proprietary models. The launch triggered a Nasdaq dip and renewed debate among tech figures about Chinese AI progress, distillation, and national security risks, echoing the DeepSeek controversy from early 2025.
Apple has filed a lawsuit against OpenAI, accusing the AI company of unfair practices. The Vergecast hosts discuss whether Apple is genuinely threatened by OpenAI's progress or simply exploiting a moment of weakness. The episode also covers Apple's new Siri AI public betas, OnePlus exiting the US and Europe, and other tech news.
Apple filed a trade secrets lawsuit against OpenAI last Friday, alleging misconduct involving the chief hardware officer and over 400 former Apple employees now working at OpenAI. The timing is critical as OpenAI reportedly plans an IPO later this year. TechCrunch's Equity podcast discusses the potential impact on OpenAI's hardware ambitions and IPO timeline.
Linux creator Linus Torvalds has publicly endorsed AI tools in kernel development, writing on the mailing list that 'Linux is not one of those anti-AI projects.' The debate was sparked by Sashiko, an AI-powered code review system from the Linux Foundation that automatically analyzes proposed kernel code changes. Torvalds stressed that decisions in the kernel project are based on technical merit, 'not fear of new tools.'
The FBI reported over $893 million in AI-enabled fraud losses in 2025, with older adults losing $352 million. Voice cloning requires just three seconds of audio, and detection experts admit they can no longer reliably distinguish real from fake. Banks, telecoms, and regulators are struggling to contain a threat that is both technically advanced and emotionally devastating.
Torsten Slok, chief economist at Apollo, warns that AI-driven profit gains outside the technology sector could take much longer than Wall Street expects. In regulated industries like healthcare, banking, and energy, productivity improvements from AI may not show up for years, putting high AI stock valuations at risk of a painful repricing.
NVIDIA announced that its GPUs with Confidential Computing are now used for confidential inference in Apple's Private Cloud Compute (PCC) as Apple expands PCC beyond its own data centers to Google Cloud. The integration, unveiled at Apple's WWDC 2026, uses NVIDIA Blackwell GPUs to support server-side inference for Apple Foundation Models, built by Apple and Google using technologies behind the Gemini family of models. The hardware-based security layer ensures that no one, including system builders, can access user data during processing.
Google has placed an order with Intel to manufacture over three million AI chips for 2028, while Nvidia is testing Intel's manufacturing process for its next-generation Feynman GPU architecture. The moves come as TSMC struggles to keep pace with surging demand for AI chips, giving Intel's foundry business a rare second chance after years of losses. Memory maker SK Hynix is also evaluating Intel's packaging technology.
NVIDIA and LG Group are jointly building an AI factory to accelerate AI-driven businesses across robotics, autonomous driving, data center technologies, and GPU cloud services. The facility will provide LG with accelerated computing infrastructure for training, simulating, and deploying AI applications. The collaboration integrates NVIDIA's full-stack AI factory platform with LG's global leadership in consumer electronics, robotics, mobility components, smart spaces, and data center technologies.