Odaily Planet Daily reports: Jasjeet Sekhon, Chief Strategy Officer at Google DeepMind, stated that one of the key investment rationales behind the unprecedented capital influx in the current AI industry is the bet that future AI systems will achieve recursive self-improvement (RSI).
Sekhon recently stated at the Agentic AI Summit hosted by the University of California, Berkeley that the substantial capital currently invested in the AI industry ultimately needs to be justified by a more advanced capability: AI’s ability to autonomously improve itself and create next-generation systems with greater capabilities.
He noted that the RSI has become an essential component of AI investment logic. Unlike traditional models that rely on manual development and iterative training, recursive self-improvement envisions AI systems autonomously optimizing algorithms, enhancing model architectures, and continuously improving their own capabilities.
Sekhon believes that RSI is replacing AGI (Artificial General Intelligence) as the new core narrative in the current AI landscape. As companies like OpenAI, Google, and Anthropic, along with cloud computing giants, continue to invest massive amounts of capital in building computing infrastructure, the market is betting that AI may soon transition from a "scaling" phase to a "self-improvement" phase.
However, there is still significant debate over whether RSI can be achieved. Although current AI models possess capabilities such as code generation, tool invocation, and automatic optimization, they still face technical, security, and controllability challenges before reaching true autonomous recursive improvement. (The Information)