Welcome to The Daily AI Briefing, your daily dose of AI news. I'm Marc, and here are today's headlines. In today's episode, we'll explore UC Berkeley's groundbreaking open-source AI model, OpenAI's ambitious return to robotics, the World Economic Forum's workplace predictions, and major industry developments from AMD and Nvidia. We'll also examine how AI is reshaping Wall Street and the future of engineering. First up, UC Berkeley has made waves with their $450 open-source reasoning model, Sky-T1-32B-Preview. This remarkable achievement demonstrates how high-performance AI development is becoming more accessible. The model, built on Alibaba's Qwen2.5-32-Instruct and trained in just 19 hours, matches or exceeds OpenAI's earlier o1 model in mathematics and coding. What's truly groundbreaking is the complete transparency - all training data, code, and model weights are openly available to the research community. In a significant development, OpenAI is making a comeback in robotics. The company has begun hiring for its new robotics division, led by former Meta executive Caitlin Kalinowski. They're seeking experts in sensor development, mechanical design, and lab operations, aiming to create general-purpose robots for real-world applications. This marks an interesting return to robotics after their 2020 program closure. The World Economic Forum's latest Future of Jobs Report presents both opportunities and challenges. Their forecast suggests AI will create 11 million jobs while displacing 9 million by 2030. An overwhelming 86% of companies expect AI to transform their operations, with 75% planning to upskill existing employees and 70% looking to hire AI-experienced staff. The report highlights the growing importance of big data specialists and AI/ML experts. In the corporate world, AMD has introduced Agent Laboratory, an innovative framework using LLM agents as research assistants. This system has achieved an impressive 84% cost reduction in research-related tasks. Meanwhile, Nvidia has launched an AI Blueprint for retail, enabling sophisticated shopping assistants that can process both text and image queries while creating immersive virtual shopping experiences. The financial sector isn't immune to these changes. Bloomberg Intelligence predicts over 200,000 Wall Street jobs could be eliminated in the next 3-5 years due to AI automation. However, this transformation could lead to a 17% increase in banking profits, highlighting the double-edged nature of AI adoption. As we wrap up today's briefing, it's clear that AI's impact continues to accelerate across all sectors. From democratizing AI development to reshaping traditional industries, these developments underscore the importance of staying informed and adaptable in our rapidly evolving technological landscape. Join us tomorrow for more AI insights and developments. I'm Marc, and this has been The Daily AI Briefing.