The question of the promise and peril of AI is a proper one for our long-running Love the System series, but we thought it deserved its own spot as a sub-series due to the rapid development and proliferation of Large Language Models and other ground-breaking AI technologies over the past six months. It may be too early to tell yet, but with the clear power of this emergent technology, its potential to take over many of the tasks we used to regard as exclusively human, and its rapid public uptake, it feels like we are on the cusp of an epochal change. How are we to secure the psychological and spiritual health of human beings in the face of such developments? How do we ethically and wisely merge living and non-living intelligences? What wisdom from this corner of the internet -- from our respective integral, metamodern, and spiritual communities -- can help us navigate the monumental challenges and opportunities ahead?

For the second episode of The Soul of AI, Layman sits down with Jill Nephew, an engineer and software developer, to explore her unique take on the hype and dominant discourse around artificial intelligence and large language models. Most of the commentators in this area, she argues, have fallen prey to a game of smoke and mirrors: there are no emergent properties, there is no latent intelligence or spark of consciousness, there is no "there" there at all -- nothing nutritious for the human spirit or human society, and certainly no basis for an emergent wisdom culture. She explains why she regards LLM developers as profit-motivated illusionists, and why we should give a hard "no" to this dazzling but ultimately empty and misleading technology.

Jill Nephew is the founder of Inqwire, PBC a company on a mission to help the world make sense. The Inqwire technology is designed to enhance and accelerate human sensemaking abilities. The designing of the system required her to attempt to answer a fundamental question: how does technology interact with the mind's ability to do individual and collective sensemaking, and what are the principles that technology should follow to maximize these abilities? Jill's background includes developing tools, platforms, and meta-data-based software languages to help people find solutions to complex, real-world problems. She developed algorithms and models in the area of constraint-based optimization, drug binding, motion control, disease kinetics, protein folding, atmospheric pollution, human articulated movement, complex fluids, and most recently sensemaking.

Personal website
https://jillnephew.com/index.html

Inqwire website
https://www.inqwire.io/

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