INEMA RSI – study and practice platform
Introduces INEMA's RSI area, offering study and practical application of recursive self‑improvement for AI.
INEMA’s RSI area is a platform for studying and applying recursive self-improvement in artificial intelligence. The idea is for AI to help improve AI through a cycle of creating, testing, evaluating, correcting, and repeating. The site brings together the RSI v6.2 course, the RSI Guide, RSI Copiloto, Dream-RSI, Alerta IA 2028, and the LOOP-R framework.
For users, the aim is to study how to apply this cycle and explore different levels of improvement: refining an answer, improving an agent or system, and reaching real recursion. The topic also covers opportunities in fields such as software, science, and robotics, as well as risks when progress outpaces people’s ability to supervise and control AI.
To get started, visit eventos.inema.pro/rsi/ and explore the available content. Notice how LOOP-R organizes the steps of executing, measuring, criticizing, proposing, testing, validating, promoting, and repeating. The page also introduces the concept of RSI and materials related to its practical application.
The link opens the original content; some require a subscription.
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