derived: embodied AI has millennia of precedent
lumnl . lumnl .

derived: embodied AI has millennia of precedent

lumnl is built around a counterintuitive idea: objects that contain intelligence have always been part of the human experience. The best embodied AI’s respect and express timeless human qualities.

Silicon Valley is obsessed with the unprecedented. We build technologies that unleash the new, new thing. Yet the designer and technologist who understands that our humans effort is timeless can tap into millennia of precedent.

I am obsessed with 3 topics that profoundly inform how we embody AI.

Noogenesis - respect the cognitive abstraction cascade.
Digital Divinity - respect the qualities humans ascribe to Gods & gods.
Cultural commonality - respect the unifying threads of human ritual and art.

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technosocial constraints on building AI for the real world
lumnl . lumnl .

technosocial constraints on building AI for the real world

Initially formatted for Google Docs, now best read as a PDF linked here.

Abstract: Technical and social constraints imply AI agents and host devices must be built around their real-world contexts. Situated, general purpose AI agents are best suited to supporting a bounded set of tasks in well understood real-world spaces. Mobile, personal AI agents are are best suited to convivially optimizing the existing capabilities of our smartphones and their accessories.

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noogenesis: where human intelligence ascended, machines now descend
lumnl . lumnl .

noogenesis: where human intelligence ascended, machines now descend

We must design intelligent systems to interact with humans at the appropriate level of abstraction, not blindly chasing intuitive convenience.  Machines must communicate in the medium most appropriate for the message. 

The evolution of intelligence in humans is being mirrored by the expression of intelligence by machines. Noogenesis appears to be on a logarithmic timeline that bends back on itself. It took 200,000 years for human intelligence to shift its leading expression from form → voice → image → text → logic; digital machines have moved back down the abstraction ladder from logic → text → image → voice → form in a single lifetime.

Noticing the pattern of how intelligence evolved in humans and was then built in human machines carries deep implications. This is not merely a fun quirk of history, it is a word of caution and a call to action.

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[musings] water flowing underground
lumnl . lumnl .

[musings] water flowing underground

Where did this come from?  Why am I the person to undertake this?

In 2017 I began to design a product that would introduce a new digital assistant to the consumer electronics market, focused on the family and home experience.  I was the VP of Design in an AI-focused consumer technology startup from the founder of Android.  Late in that year I also took paternity leave to welcome my second child into his waking world.

Creating digital assistants and devices for the family necessitates an observational and interactive intimacy that I was still trying to wrap my head around practically and ethically.  Addressing these issues while observing the growth of a new baby set off a million questions in my head.

My personal background underpin my eclectic observations and inclinations.

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