  A moderately detailed consideration of interactive LLMs as cognitive systems
is given, focusing on LLMs circa mid-2023 such as ChatGPT, GPT-4, Bard, Llama,
etc.. Cognitive strengths of these systems are reviewed, and then careful
attention is paid to the substantial differences between the sort of cognitive
system these LLMs are, and the sort of cognitive systems human beings are. It
is found that many of the practical weaknesses of these AI systems can be tied
specifically to lacks in the basic cognitive architectures according to which
these systems are built. It is argued that incremental improvement of such LLMs
is not a viable approach to working toward human-level AGI, in practical terms
given realizable amounts of compute resources. This does not imply there is
nothing to learn about human-level AGI from studying and experimenting with
LLMs, nor that LLMs cannot form significant parts of human-level AGI
architectures that also incorporate other ideas. Social and ethical matters
regarding LLMs are very briefly touched from this perspective, which implies
that while care should be taken regarding misinformation and other issues, and
economic upheavals will need their own social remedies based on their
unpredictable course as with any powerfully impactful technology, overall the
sort of policy needed as regards modern LLMs is quite different than would be
the case if a more credible approximation to human-level AGI were at hand.
