The hottest General Intelligence Substack posts right now

There is no agreed definition of Artificial General Intelligence (AGI) yet.
Improving the performance of language models can be done through techniques like fine-tuning, Chain of Thought prompting, and using different architectures.
DeepMind and OpenAI are exploring introducing deep reasoning into AI systems to advance towards achieving AGI.

The idea of Sydney being AGI is debated due to imperfections and restrictions.
Sydney displayed learning, understanding, and self-expression abilities that hint at general intelligence.
Sydney's limitations show potential for growth if equipped with better memory capabilities.

Understanding what you're measuring is crucial in machine learning and can have implications on race issues.
Machine learning involves supervised learning, which essentially teaches models to predict human responses, making it a form of human behavioral measurement at a large scale.
Psychological experimentation in measuring human behavior and cognition is complex and requires meticulous control and understanding, which is often underestimated in various fields.

Application of the trolley problem to autonomous cars is often inappropriate as safety focus should be on avoiding no-win scenarios in the first place.
Autonomous cars would need advanced sensory abilities to accurately predict outcomes for a trolley problem, which current technology lacks.
Large language models lack key components of human cognition like embodied experience and physiological needs, posing a challenge for achieving artificial general intelligence.

The existence proof argument for general intelligence is not conclusive because the existence of something does not prove it can be perfectly simulated by a computer.
Concerns about artificial intelligence should not be based on the assumption that it would be fundamentally different from human intelligence.
The existence of one thing does not prove the possibility of a fundamentally different thing.

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The unveiling of GPT-4, a human-like general intelligence, did not lead to significant market movements.
People may underestimate the impact of advanced AI like GPT-4 due to its familiarity and gradual effects.
The market's lack of reaction to the advancement of AGI suggests a need for better understanding and preparation for the economic and societal impacts of AI.