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A moderately detailed consideration of interactive LLMs as cognitive systemsis given, focusing on LLMs circa mid-2023 such as ChatGPT, GPT-4, Bard, Llama,etc.. Cognitive strengths of these systems are reviewed, and then carefulattention is paid to the substantial differences between the sort of cognitivesystem these LLMs are, and the sort of cognitive systems human beings are. Itis found that many of the practical weaknesses of these AI systems can be tiedspecifically to lacks in the basic cognitive architectures according to whichthese systems are built. It is argued that incremental improvement of such LLMsis not a viable approach to working toward human-level AGI, in practical termsgiven realizable amounts of compute resources. This does not imply there isnothing to learn about human-level AGI from studying and experimenting withLLMs, nor that LLMs cannot form significant parts of human-level AGIarchitectures that also incorporate other ideas. Social and ethical mattersregarding LLMs are very briefly touched from this perspective, which impliesthat while care should be taken regarding misinformation and other issues, andeconomic upheavals will need their own social remedies based on theirunpredictable course as with any powerfully impactful technology, overall thesort of policy needed as regards modern LLMs is quite different than would bethe case if a more credible approximation to human-level AGI were at hand.

Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMs