The intelligence gains in AI models are increasingly tied to human intelligence rather than merely scaling size and compute power, signifying a shift in approach.
To achieve AGI, experts suggest a system of AI models working in concert, highlighting that current LLMs must evolve to incorporate more brain-like diversity and functions.
Andrew Filev argues that the human brain's complexity and specialization in different areas, like the hippocampus and prefrontal cortex, must be emulated by AI systems.
The prevailing notion that scaling single-frontier models will lead to AGI is waning, necessitating a rethink towards more diverse and complex AI architecture.
#ai-development #artificial-general-intelligence #large-language-models #human-intelligence #ai-models
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