
Demis Hassabis, CEO of Google DeepMind, has criticized the idea that AI will lead to job cuts in software development, emphasizing the productivity potential of AI models like Gemini 3.5 Flash. This model, showcased at Google's I/O event, can perform complex coding tasks, but Hassabis believes it should enhance rather than replace human roles. Google's new AI tools, including Antigravity and the assistant Spark, aim to improve coding efficiency while ensuring safety. Despite fears of job displacement, Hassabis argues for using AI to expand project possibilities rather than reduce the workforce.
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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.
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Demis Hassabis Criticizes AI-Driven Job Cuts
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Apple 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.