Determining when an AI system is considered artificial general intelligence (AGI) is contentious, often tied to arbitrary benchmarks like generating $100 billion in profits. There is no universal definition of AGI among experts, with diverse interpretations complicating expectations and discussions within the tech industry. AGI is traditionally viewed as an AI model that generalizes across various domains, matching human capabilities in unfamiliar tasks. However, this approach raises questions about what constitutes 'human-level' performance and the assumption that mimicking human abilities is a worthy goal.
"According to one definition reportedly agreed upon by Microsoft and OpenAI, the answer lies in economics: When AI generates $100 billion in profits."
"If you ask 100 AI experts to define AGI, you'll get '100 related but different definitions.'"
"An AI model that can widely generalize - applying concepts to novel scenarios - and match the versatile human capability to perform unfamiliar tasks across many domains..."
"The focus on human parity is itself an assumption; it's worth asking why mimicking human abilities is the ultimate goal."
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