Revolut has announced the creation of an AI research unit to develop proprietary models. This strategic move aims to enhance the company's financial services by integrating AI-driven solutions. By focusing on in-house model development, Revolut seeks to improve customer experience and operational efficiency. This initiative highlights Revolut's commitment to leveraging cutting-edge technology to maintain a competitive edge in the fintech industry.
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Fractile has secured a massive £540 million Series C, signaling intense capital competition for the UK’s leading AI chip designer. This valuation underscores the strategic pivot toward domestic semiconductor sovereignty in Europe, moving beyond software to hard infrastructure. The funding validates Fractile’s approach to custom silicon for large language models, positioning it as a critical alternative to NVIDIA’s dominance in the European market. Investors are betting heavily on the premise that sovereign AI requires sovereign hardware.
Deeptech startup MuRay has secured €7.1 million to deploy AI-driven computer vision for inspecting rocket engines. This funding targets the development of systems that can see inside complex combustion chambers, a task traditionally reliant on manual human inspection or invasive physical probes. By automating this critical quality control step, MuRay aims to reduce downtime and improve safety in aerospace manufacturing. The deal highlights growing investor interest in specialized industrial AI applications beyond consumer tech.
A fintech company has secured a $90 million funding round despite not being actively fundraising, signaling strong investor confidence in its current trajectory. The deal values the company at $800 million, reflecting a mature stage of growth and stability in a volatile market. This move underscores the continued appetite for established players in the financial technology sector, even when they are not seeking capital. It suggests that investors are prioritizing proven business models over speculative early-stage ventures.
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
© The Verge AIApple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.
© Matt WolfeGoogle launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.