GDPval is OpenAI’s “real-work” evaluation: instead of exam questions, it measures whether AI can produce economically valuable deliverables professionals would actually ship. It spans 44 knowledge-work occupations across nine U.S. GDP-leading sectors, selected using BLS wage data and O*NET task analysis with a 60% digital-work threshold. The benchmark includes 1,320 expert-designed tasks (plus a 220-task open gold subset) requiring artifacts like legal briefs, nursing care plans, financial spreadsheets, sales decks, and multimedia. Outputs are graded with blind, head-to-head expert preference judgments, complemented by an experimental automated grader. OpenAI notes models can be faster and cheaper on inference, but human oversight and integration matter. In this guide, you’ll get the full list of jobs, the methodology, what the early results imply for AI productivity and AI search, and what comes next: more roles, more multimodal context, and more iterative, ambiguity-heavy workflows. (integrated.social)

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Discover the transformative impact of AI on healthcare jobs in our latest article, 'AI Future is Now: Impact on Healthcare Jobs (Pt. 6).' Explore how AI-driven technologies like robotic surgery, automated diagnostics, and AI-powered analysis are reshaping the healthcare landscape, while also addressing the challenges of job displacement. Learn about the future of healthcare roles and the importance of reskilling to stay ahead in this rapidly evolving industry. Stay informed with actionable insights and strategies for navigating the AI revolution in healthcare.

🚀 AGI is coming faster than you think! SingularityNET's new supercomputing network is set to supercharge AI development, moving us closer to Artificial General Intelligence. 🌐 It’s not just about tech—this project is pushing the boundaries of what’s possible, tackling ethical concerns, and opening doors to global collaboration. Get ready for a future where AI is smarter, faster, and more accessible than ever before.