According to God of Prompt on X (formerly Twitter), a curated collection of 16 viral NotebookLM prompts is gaining traction across Reddit, X, and research communities. These AI-powered prompts have rapidly evolved NotebookLM from a novelty tool into a highly efficient research assistant, capable of condensing 10 hours of analytical work into just 20 seconds. This set of prompts offers practical, copy-paste solutions for tasks such as literature review, data extraction, and summarization, highlighting the growing trend of workflow automation and productivity optimization in the AI industry. The viral success of these prompts underscores significant business opportunities for SaaS providers, research institutions, and knowledge management platforms seeking to integrate advanced generative AI workflows for competitive advantage (source: @godofprompt).

According to @gdb on Twitter, GPT-5.2 Pro has demonstrated exceptional capabilities in science and mathematics, particularly on the challenging FrontierMath Tier 4 benchmark. The FrontierMath site notes that solving Tier 4 problems would provide concrete evidence that AI models can perform the complex reasoning required for scientific breakthroughs in highly technical domains (source: FrontierMath, @AcerFur, @gdb). This strong performance positions GPT-5.2 Pro as a leading AI model for advanced mathematics and technical problem solving, highlighting new business opportunities in research automation, STEM education, and scientific innovation.

According to Greg Brockman (@gdb), GPT-5 is accelerating scientific progress by assisting human mathematicians in solving previously unsolved mathematical problems. As outlined on the official OpenAI blog, GPT-5’s advanced reasoning and language capabilities enable it to identify patterns, suggest new approaches, and validate mathematical proofs, thereby streamlining research workflows and opening new business opportunities for AI-driven research automation and scientific discovery. This represents a significant leap in AI’s practical applications, especially for industries focused on R&D and academic innovation (source: openai.com/index/accelerating-science-gpt-5/).