Welcome to The Daily AI Briefing! Today we're exploring groundbreaking developments across the AI landscape, from revolutionary fertility treatments to Meta's proactive chatbots. We'll examine how AI is transforming healthcare, social media, and national security priorities. Plus, we'll look at new tools you can use right now and highlight some exciting job opportunities in the AI sector. In our lineup today: a remarkable AI-powered fertility breakthrough, Meta's new approach to chatbot interactions, a tutorial for building your own Claude-powered tools, analysis of a potential "AI Manhattan Project," trending tools, and job openings in the field. First up, a true medical breakthrough. Columbia University doctors have achieved the first pregnancy using an AI system called STAR after helping a couple conceive following an 18-year struggle with infertility. The system scanned 8 million microscopic images in under an hour, locating 44 viable sperm cells in a man with azoospermia - a condition with nearly zero measurable sperm. Human technicians had found nothing after two days of searching. The technology adapts algorithms originally designed to detect new stars in astrophysics. Currently available only at Columbia's Fertility Center, the procedure costs approximately $3,000, significantly less than traditional IVF cycles. With global fertility rates declining, this AI-driven approach could make infertility treatments more accessible worldwide. Moving to social media, Meta is developing AI chatbots that can initiate conversations with users. These customizable bots are designed to remember past interactions while maintaining consistent personas like movie critics or chefs. The proactive messaging feature activates after at least five prior user messages, with bots able to initiate contact within 14 days of the last interaction. Meta has confirmed its testing shows the bots won't persistently message without user responses, limiting outreach to one follow-up per conversation thread. Court documents suggest Meta projects its generative AI products will generate $2-3 billion in revenue by 2025, potentially reaching $1.4 trillion by 2035. For those interested in building their own AI tools, there's a new tutorial showing how to use Claude Artifacts' API integration. The process is surprisingly straightforward: click the artifacts button on Claude's left sidebar, select "New artifact," and create a prompt requesting specific AI tool capabilities. For example, you could build a grammar checker with comparison text areas and a "Fix Grammar" button. You can then customize with additional features like word count and text highlighting. The finished tool uses Claude via API without requiring complex setup. On the research front, Epoch AI has published an analysis of what a potential U.S.-led "AI Manhattan Project" might accomplish. Their modeling suggests such an initiative could achieve a 10,000-fold increase in AI training scale over GPT-4 by late 2027. With investment levels comparable to the Apollo program's peak, researchers estimate the project could fund 27 million GPUs for advanced model training. The US-China Economic and Security Review Commission has recommended such a program as a top priority for achieving artificial general intelligence, though the massive power requirements would necessitate leveraging the Defense Production Act to accelerate power plant construction. For AI practitioners, several noteworthy tools have been released: Cursor's 1.2 update features improved agent planning and faster performance; Google's Veo 3 video model is now available globally to Pro users; Sakana AI's Treequest enables teams of LLMs to collaborate on complex problems; and Together AI has released DeepSWE, an open-source software engineering agent. Finally, if you're job hunting in the AI sector, consider these opportunities: Hume AI is seeking a Senior/Staff Product Designer; Grammarly needs a Lifecycle Marketing Operations Special