Welcome to The Daily AI Briefing! I'm your host, bringing you the most significant AI developments shaping our world today. In a landscape that's evolving by the hour, staying informed isn't just helpful—it's essential. Let's dive into today's most impactful AI stories that are transforming how we work, learn, and innovate. In today's briefing, we'll cover Stanford's groundbreaking AI-powered virtual scientists, Meta's aggressive recruitment tactics targeting Mira Murati's startup, a practical tutorial on Alibaba's Qwen 3 Coder, OpenAI's new educational Study Mode for ChatGPT, trending AI tools worth exploring, and the latest AI job opportunities. First up, Stanford researchers have developed what could be a game-changer for scientific discovery—a virtual lab staffed by AI scientists. This team from Stanford and the Chan Zuckerberg Biohub created a system where AI agents design, debate, and test biomedical discoveries with minimal human intervention. What's remarkable is that these AI scientists have already generated COVID-19 nanobody candidates in days rather than months. The system features an "AI principal investigator" that coordinates specialized agents in meetings that last seconds instead of hours. Human researchers needed to step in just 1% of the time, with the AI independently requesting tools like AlphaFold to advance their research. When tested in physical labs, two of the AI's 92 nanobody designs successfully bound to recent SARS-CoV-2 variants. This development signals a fundamental shift in scientific research, potentially removing human limitations on time, energy, and expertise. Moving to some dramatic industry news, Meta is making aggressive plays to recruit talent. According to Wired, Zuckerberg's company has approached over a dozen employees at ex-OpenAI CTO Mira Murati's Thinking Machines Lab with extraordinary compensation packages—including one exceeding $1 billion. The recruitment process reportedly involves personal WhatsApp messages from Zuckerberg himself, followed by executive interviews. Compensation offers have ranged from $200-500 million over four years, with first-year guarantees between $50-100 million for some candidates. Meta CTO Andrew Bosworth has apparently pitched a strategy of commoditizing AI through open-source models to undercut competitors like OpenAI. Despite these enormous offers, it seems not a single person from Murati's company has accepted, with industry insiders expressing skepticism about MSL's strategy and roadmap. For developers looking to build with cutting-edge open-source AI, Alibaba's new Qwen 3 Coder offers competitive capabilities that match premium models. Getting started is straightforward: visit Qwen Chat, create a free account, and select Qwen3-Coder as your model. You can test it with simple prompts like "Create a Twitter clone in one file" and use the Preview button to see your results instantly. Refine your project with follow-up prompts such as "Add images and make it more complete" to expand functionality. For command-line access, install the CLI with npm install -g qwen-code/qwen-code, then type qwen in your terminal. With 1 million free tokens and performance comparable to premium tools, this fully open-source solution gives developers powerful capabilities without the paywall. In educational technology, OpenAI has introduced Study Mode for ChatGPT, designed to transform how students learn. Rather than simply providing answers, this new feature guides learners through problems step-by-step using Socratic questions and interactive feedback. Developed with teaching experts, Study Mode actively resists requests for quick solutions, instead redirecting students toward a deeper learning process with hints and knowledge checks. The feature is rolling out immediately for Free, Plus, Pro, and Team users, with educational institutions gaining access in the coming weeks. While AI has shown tremendous promise for personalized learning, its success may ultimatel