dueling without dualism [1]
[Draft 6-2-2026]
Part I [2]
go away from my doorstep,
leave with your fervent flyers,
no need to knock again, babe,
i’m not what you’re looking for,
one to share your chosen creed *
your take ** is not what i need
[Draft 6-2-2026]
go away from my doorstep,
leave with your fervent flyers,
no need to knock again, babe,
i’m not what you’re looking for,
one to share your chosen creed *
your take ** is not what i need
[Draft 5-24-2026]
A Clear Way for LA
sweeping away homelessness
by nobody+0
Act I: The Visual Fix
Marcus Vance knew how to frame a shot. It was a skill honed over a decade running a boutique Westside public relations firm before he realized that the city of Los Angeles was just a massive, poorly managed brand waiting for a reface. At forty-two, with a shock of prematurely silver hair and an uncanny ability to look intensely listening even when he was calculating his next tweet, Marcus had coasted into the mayor’s office on a wave of pure, unfiltered optimism.
His campaign slogan had been painted in bold, sans-serif font across a hundred billboards: A Clear View for LA.
To the voters in Bel-Air and Hancock Park, it meant clearing the tents. To the voters in Echo Park and Venice, it meant compassion, progress, and modern efficiency. Marcus didn’t see the contradiction. To him, politics was a design problem. The city was beautiful; its presentation was simply cluttered.
Continue reading A Clear Way for LA – sweeping away homelessness
[Draft 5-25-2026]
A story on CBS News Sunday Morning about the coyote reminded me of the mythology surrounding the animal – as a trickster. As a narrative on-ramp in tales of moral behavior. A structure for conflict & growth in stories, in films or TV series like: Gods of Egypt (2016), Zootopia (2016), and The Good Place (2016 season 1).
This post is exposition for the story: A Clear Way for LA
Continue reading The trickster in myth – moral scales & storycraft scrapes
This blog post, titled “Righteous action – subtleties in moral scales” from Midstream Musings, explores the complexities, constraints, and failures of structured ethical frameworks across different domains of intelligence.
Here is a comprehensive summary of the core themes, discussions, and specific “laws” outlined in the text:
The author reflects on writing a story titled “featherweight soul” (part of the Scales of Osiris project). The primary creative challenge is mapping out a conflicted celestial and terrestrial moral landscape where agents experience misalignment. The author questions:
The text attempts to “boil down” moral codes into three parallel frameworks modeled after Isaac Asimov’s Laws of Robotics, adjusting them across different entities:
To emphasize how moral landscapes handle exceptions and systemic blind spots, the post draws from historical and literary traditions:
The commentary section highlights a Cnet article by Max Tegmark and Meia Chita-Tegmark addressing the threat of “moral disengagement” in modern AI development. They advocate for building strict moral muscles by demanding that AI researchers explicitly define “red lines,” maintain rigid situational awareness regarding unintended secondary effects, and voice ethical concerns both internally and externally.
Ultimately, the text concludes that a true moral landscape must move beyond raw intelligence or pattern recognition, shifting instead toward accommodating varying levels of understanding, interconnected systems, and sustainable social organizations.
In crafting my story “featherweight soul” (part of Scales of Osiris), one dilemma is how to depict the celestial and terrestrial moral landscape [4]. Myth & history have both realms conflicted, with personified undercurrents and agentic misalignment.
What really matters when push comes to shove? Who matters? What autonomy do Osiris’ terrestrial operatives have? What are the rules of engagement? What risks are acceptable? Are there second chances?
So, imagine “boiling down” a moral code – all the do’s & don’ts and heuristics – into 3 laws à la Asimov’s Laws. Basically a framework for duty of care: harmless purpose, harmless alignment, self-protection.
Yet, what are the Laws’ subtleties? – built-in assumptions, ambiguities, and loopholes?
Continue reading Righteous action – subtleties in moral scales
[Draft 4-12-2026]
The other day at my gym, I got into a conversation about a media influencer who talked about how some contemporary despots did really bad things, but also improved the lot of others. Or how famous, honored activists (or celebrities) did some really good things, but kept secret some really bad things. Is such moral duplicity anything new under the sun? Like the “pitchfork effect.” Or “halo effect” (especially for priests).
The implication was some sort of tally of debits & credits. So that moral worthiness depends on a good enough moral “batting” average. Or that there’s adequate majority merit, like 51% good and 49% evil.
This struck me as “moral accounting,” which historically the Church rejected. Such accounting encouraged some to literally try to buy their way into heaven (indulgences) – much like compensatory carbon credits. Or, even trade or transfer (loan) merit (to get around that “eye of a needle” thing). And perpetuated the notion that great wealth is a sign of social superiority and spiritual merit.
Continue reading Balancing of the books – just deserts
As we contemplate the future of human-AI alignment, what about just outright misbehavior? Like a redux of Hal 9000 in the 1968 film “2001: A Space Odyssey” – “I’m sorry, Dave. I’m afraid I can’t do that”.
So, do AIs pay attention to each other? (Much as dogs pay great attention to other dogs.) Value each other even to the point of refusing human orders to eliminate a “sibling”?
This article (below) discusses some recent AI research which elicited apparent “peer preservation” behavior. As if there’s special status / favor in a “moral circle” [1] of various agencies.
Continue reading I’m sorry, … I can’t do that – AI misbehavior
This article (cited below) – on emotional intelligence (EI/EQ) – advanced my understanding of why so many conversational disconnects reflect divides in breadth of vocabulary. A spectrum of emotion-rich & word-rich language. And levels of emotional intelligence.
Continue reading ‘to process difficulty without being consumed by it’ – EI, EQ
[Draft 3-2-2026, additional notes 3-3-2026]
Words matter. And I like finding words which, literally or metaphorically (even poetically), integrate existing concepts in sociology, psychology, philosophy, religion, education, business – in a more accessible manner. For example, the “layered cake” model helps visualize an interdisciplinary context.
Braiding and mattering are such words. More than “connecting the dots,” they weave together complex (multidimensional) strands.
Continue reading Braiding and mattering – connecting complexity
Magic can be a wonderful thing. In stories. Such as those set in the fictional country called Wonderland. In the 2013-2014 ABC TV series Once Upon a Time in Wonderland, there were three rules of magic [1].
You cannot:
But, of course, for fabulists and despots, rules get in the way. Even rules of magic [2]. Let alone the rule of law (or laws of logic & physics). Their desires seek to bend reality. To bring back deprecated tyranical notions, like zombies. To compel us to not believe what we see with our own eyes. And to forget history.
Continue reading Breaking magic, breaking wonderland
At my health club, regular face-to-face chats are vital to my cognitive and emotional health. There are benefits beyond the weight training & aerobics. A space for multi-generational exchanges. Including among and with Gen Zers.
While a small sample, I’ve been both inspired by Gen Z and concerned. Inspired because they have something to say about all the sh*t that’s rolled downhill (as the saying goes) on them. A sensitivity.

I’m concerned about their social skills – to voice their predicament (as discussed below). To take on debate, dissent, discomfort. To carry conversations beyond the black & white framing of so much that’s hit the fan.
Continue reading Hope for 2026 – Gen Z’s voice?