AGI by two definitions (initial blog 2026-02-11) (sites.tnyrl.com)

A new update on the definition of Artificial General Intelligence (AGI) has been published, highlighting two distinct interpretations crucial for the AI/ML community. The first defines AGI as a machine's ability to operate across various fields and tasks, capable of exhibiting "intelligence" by producing outputs like essays or software based on diverse topics. This perspective emphasizes the versatility of advanced models, such as current language models (LLMs), which can perform a wide range of activities. However, it also notes that such systems still harbor biases and limitations inherent to their programming and training. The second definition of AGI focuses on a machine's capacity for abstract reasoning without relying on previous patterns, appealing to objective truths from extensive datasets. This interpretation suggests an AGI could achieve a level of reasoning that avoids human cognitive biases, enabling more rational decision-making. The blog post underlines that, as of February 2026, no publicly available system has demonstrated this level of AGI capability, marking an important distinction in ongoing discussions about the progress and potential of AI technologies. Understanding these definitions is essential as the field evolves and as aspirations for true AGI continue to grow.