Welcome to The Daily AI Briefing, here are today's headlines! The AI landscape continues its rapid evolution with major announcements from industry leaders. Today we're covering Meta's launch of the new Llama 4 family, Microsoft's personalization upgrades to Copilot, concerning predictions about superintelligent AI by 2027, new creative and productivity tools hitting the market, and updates from OpenAI and Midjourney. Let's dive into these developments reshaping our technological future. Meta has officially unveiled its Llama 4 model family, featuring impressive multimodal capabilities and extraordinary context lengths. The lineup includes the 109B parameter Scout model with a massive 10 million token context window that can run on a single H100 GPU. Even more powerful is the 400B parameter Maverick, which reportedly outperforms both GPT-4o and Gemini 2.0 Flash on key benchmarks while maintaining better cost efficiency. Meta also previewed Llama 4 Behemoth, a 2 trillion parameter model still in training that supposedly surpasses GPT-4.5, Claude 3.7, and Gemini 2.0 Pro. All models utilize a mixture-of-experts architecture, activating specific experts for each token to reduce computational requirements. Scout and Maverick are available now for download and through Meta AI in WhatsApp, Messenger, and Instagram. This release represents Meta's strong response to DeepSeek R1's disruption of the open-source market earlier this year, though questions remain about whether these models truly deliver a next-level experience despite their impressive benchmark scores. Microsoft has significantly upgraded its Copilot assistant with new personalization features focused on deeper integration into users' digital lives. The system now includes memory capabilities that remember conversations and personal details, creating individual profiles that learn preferences and routines. A new "Actions" feature enables Copilot to perform web tasks like booking reservations and purchasing tickets through partnerships with major retailers. Copilot Vision brings real-time camera integration to mobile devices, while the native Windows app can analyze on-screen content across applications. Additional productivity features include Pages for organizing research, an AI podcast creator, and Deep Research for complex research tasks. These updates move Copilot in a similar direction to competing assistants, aiming for a more proactive and personalized experience. However, the consumer-focused nature of many features raises questions about whether users will choose Microsoft over alternatives like Google, OpenAI, or Meta for non-work interactions. In more concerning news, former OpenAI researcher Daniel Kokotajlo and the AI Futures Project have published "AI 2027," a forecast predicting the advancement to superhuman artificial intelligence within just two years. The report outlines a progression starting with increasingly capable AI agents in 2025, evolving into superhuman coding systems and then full AGI by 2027. Two scenarios are presented: one where nations push ahead despite safety concerns, and another where a slowdown enables better safeguards. The authors project that superintelligence could achieve years of technological progress each week, potentially dominating the global economy by 2029. The report highlights risks including geopolitical tensions, military AI deployments, and challenges in understanding AI's internal reasoning. While many dismiss AGI predictions, these scenarios come from researchers with direct insider experience at leading AI labs, suggesting we may have only a brief window to ensure AI remains controllable before it surpasses human abilities. The tool landscape continues to expand with innovations like DreamActor-M1, which transforms static images into full-body animations for motion capture. Amazon has introduced a "Buy for Me" AI agent capable of making purchases from other websites, while Adobe Premiere Pro has added features li