According to @godofprompt, a new research paper titled 'Real Deep Research for AI, Robotics, and Beyond' introduces a groundbreaking framework that moves beyond traditional pattern matching by enabling AI to internally generate, test, refine, and reuse research hypotheses. This approach allows the model to outperform leading AI systems like GPT-4 and Gemini 2.5 on over 40 reasoning benchmarks, achieve real-world robotics decision loops at three times the speed, and self-improve across multiple domains without additional fine-tuning (source: @godofprompt on Twitter, Oct 27, 2025). The paper presents a method where AI actively conducts its own research, offering practical implications for businesses seeking scalable, self-improving AI solutions in both digital and physical environments. These advancements suggest major new market opportunities for autonomous AI systems capable of adaptive learning and robust cross-domain applications.