Atal (@ZabihullahAtal) “🚨 BREAKING: Stanford University, OpenAI, Google DeepMind, and Anthropic researc” — TopicDigg

🚨 BREAKING: Stanford University, OpenAI, Google DeepMind, and Anthropic researchers believe AI will soon able to build the next generation of AI itself. Not just assisting researchers… but contributing to new AI system development itself. As Anthropic CEO said: Claude already writes a large portion of the code used internally for newer model updates and development workflows. The paper, “AI Researchers' Views on Automating AI R&D and Intelligence Explosions,” interviewed leading researchers across frontier AI labs and academia. It identifies a major shift: * AI is rapidly improving at coding and math * Systems are moving from assistants → autonomous developers * Many researchers now see automated AI research as a realistic possibility This creates a critical turning point. AI may soon stop being only a tool for researchers… and start becoming a research contributor itself. The study also reveals a growing concern: If AI systems begin improving AI systems, progress could accelerate far beyond current expectations. Researchers describe this as a potential feedback loop: * better AI builds even better AI * which accelerates future capability growth This is one of the clearest signals yet that frontier labs are no longer thinking only about chatbots. They are thinking about autonomous research systems. The bigger implication is not just automation, it’s acceleration. As AI becomes capable of handling more of its own development cycle, the pace of progress may increasingly depend on compute and autonomous experimentation—not only human researchers. This points toward a deeper shift in AI: From AI assisting research to AI advancing AI itself article link below: