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Good morning! It is December 11, 2024, today. We have an exciting lineup of AI news, from Google's latest Gemini AI update to their innovative smart glasses and a potential legal issue for OpenAI's Sora. Let's dive into the latest updates!
Credit: Google
1. Google's Gemini 2.0: A New Era of AI with Agentic Capabilities
Google has unveiled Gemini 2.0, its most advanced AI model, marking a new era of "agentic" AI with capabilities like multimodal input and output, long-context reasoning, and tool use for enhanced assistance. The model powers updates to key Google products, including Search and the Gemini app, and introduces innovations like Deep Research, Project Astra, and Project Mariner for advanced task handling and real-world applications. Available now in experimental stages, Gemini 2.0 promises transformative impacts across AI-driven tools, gaming, coding, and robotics.
Credit: Google
2. Google’s Project Astra Could Redefine Smart Glasses with Always-On AI
Google’s ambitious Project Astra aims to be an always-on, multimodal virtual assistant, and prototype smart glasses may be its key hardware. Tested by a small group through the Trusted Tester program, the glasses integrate Astra’s capabilities with Gemini 2.0, enabling natural, on-the-go assistance like navigation and task management. While still in early stages, this development signals Google’s serious commitment to smart glasses as the future of AI-powered wearables.
OpenAI’s new video-generating AI, Sora, can create game-inspired clips, suggesting it was trained on unlicensed gameplay footage. This raises legal concerns, as game content involves multiple layers of copyright. Experts warn of potential risks for both AI companies and users, with ongoing lawsuits likely to shape the future of generative AI in gaming.
4. Apple and Broadcom Team Up for AI-Focused Custom Chips
Apple is reportedly collaborating with Broadcom to develop a custom server processor, codenamed "Baltra," for powering AI features in its ecosystem. Expected to enter production in 2026, the project aligns with Apple's on-device and cloud AI strategy. Broadcom's advanced chip packaging tech, known for scaling high-performance designs, could play a key role. While details are scarce, this move continues Apple’s trend of leveraging custom silicon to enhance its hardware and software integration.
Credit: Google Cloud
5. Google Cloud's Trillium TPU: Powering the Future of AI with Unmatched Performance and Efficiency
Google’s sixth-generation Trillium TPUs, now generally available on Google Cloud, deliver groundbreaking advancements in AI performance, efficiency, and scalability. Used to train Google’s Gemini 2.0 model, Trillium TPUs provide up to 4x faster training and 3x higher inference throughput while significantly improving energy efficiency. As a core part of Google’s AI Hypercomputer, Trillium powers large-scale AI workloads like LLMs and multimodal models, offering enterprises unmatched price-performance and scalability across diverse applications.
6. Personalized Blood Test References Could Revolutionize Precision Medicine
Harvard Medical School researchers at Massachusetts General Hospital propose using individualized reference points for blood tests like CBCs, instead of standardized ranges, to improve health assessments and early disease diagnosis. Analyzing over 12,000 adults, the study found stable "set points" for CBC metrics unique to each individual, akin to a fingerprint. This personalized approach could enhance precision medicine, allowing earlier detection of diseases like diabetes and heart disease while offering opportunities for more targeted treatments. Findings were published in Nature.
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Zephyr