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[R] Levels of AGI: Operationalizing Progress on the Path to AGI - DeepMind 2023 (alien.top)

submitted 10 months ago by APaperADay@alien.top to c/machinelearning@academy.garden

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Paper: https://arxiv.org/abs/2311.02462

Abstract:

We propose a framework for classifying the capabilities and behavior of Artificial General Intelligence (AGI) models and their precursors. This framework introduces levels of AGI performance, generality, and autonomy. It is our hope that this framework will be useful in an analogous way to the levels of autonomous driving, by providing a common language to compare models, assess risks, and measure progress along the path to AGI. To develop our framework, we analyze existing definitions of AGI, and distill six principles that a useful ontology for AGI should satisfy. These principles include focusing on capabilities rather than mechanisms; separately evaluating generality and performance; and defining stages along the path toward AGI, rather than focusing on the endpoint. With these principles in mind, we propose 'Levels of AGI' based on depth (performance) and breadth (generality) of capabilities, and reflect on how current systems fit into this ontology. We discuss the challenging requirements for future benchmarks that quantify the behavior and capabilities of AGI models against these levels. Finally, we discuss how these levels of AGI interact with deployment considerations such as autonomy and risk, and emphasize the importance of carefully selecting Human-AI Interaction paradigms for responsible and safe deployment of highly capable AI systems.

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[–] ThisBeObliterated@alien.top 1 points 10 months ago

TBH, even though I appreciate the effort in creating a research roadmap, if you put the AGI sticker in it, this feels more like creating some landmarks to make some buzz down the road. Conversely, there are a lot of features from other AGI definitions such as autonomous agency, multimodal/sensory learning, world modeling and interactivity that are conveniently left out ("non-physicial" tasks, hey, our lab doesn't work with those eh, but we can tots do AGI). This caters neither to the academics who are tired of loaded monikers in the field, nor to the futurology enthusiasts who have a much wider definition for AGI.