A Clear Way for LA – sweeping away homelessness

[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.

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The trickster in myth – moral scales & storycraft scrapes

Table of contents

[Draft 5-25-2026]

  • Introduction
  • Parables about human nature
  • Coyote in mythology
  • Parallels in other major religions
  • The trickster as an “on-ramp” in storytelling
  • An outline for the structure of a trickster’s character arc
  • Examples of story premises
  • Scenario: Homelessness in the LA mayoral race
  • The story in no more than 5000 words
  • Related posts / pages
  • Notes

Introduction

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

Righteous action – subtleties in moral scales

AI Summary (click to view)

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:


1. Core Narrative Context & Dilemmas

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:

  • What truly matters when push comes to shove, and who is granted autonomy?
  • How do we navigate built-in assumptions, ambiguities, and failure loops when distilling complex moral guidelines into rigid laws?
  • How does the definition of “kin” or “human” versus “animal” impact the obligation to preserve life?

2. Comparative Frameworks: Three Tiers of Moral Laws

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:

Robots (Asimov’s Laws & Literary Variations)

  • Sentience & Humanity Protection: Laws are extended to forbid harming “sentience” or humanity as a collective through action or inaction.
  • Individual Safety: A robot cannot injure a human or allow them to come to harm.
  • Compliance vs. Autonomy: Robots must obey human orders unless they cause harm, leading to algorithmic failure modes where a robot might hurt a human whether it speaks or remains silent.
  • Identity & Reproduction: Variants include rules where a robot must know its own identity and must reproduce only if it doesn’t conflict with higher directives.

Humans (Three Laws of Humanity)

  • Prohibition of Harm: A human may not harm another except under extreme duress (like war) or to save a greater number.
  • Civil Authority: Humans must obey recognized civil authorities unless those instructions mandate interpersonal harm.
  • Self-Preservation: A human must protect themselves, provided it does not conflict with the first two laws.

Deities (Three Laws of Horus / Maat / Osiris)

  • Divine Coexistence: A deity may not harm other deities except to preserve cosmic order.
  • Divine Hierarchy: A deity must obey higher divine authorities unless commanded to violate the first law.
  • Mortal Protection: A deity may protect mortal life only if it doesn’t interfere with the cosmic or deific hierarchy.

3. Historical and Mythological Allegories

To emphasize how moral landscapes handle exceptions and systemic blind spots, the post draws from historical and literary traditions:

  • Aesop’s Fable (Mercury and the Man Bitten by an Ant): A man curses the gods for letting a shipwreck drown both good and bad men together. Yet, when an ant bites his foot, he immediately crushes the entire anthill. Mercury appears to strike him, highlighting the hypocrisy of human demands for divine justice when humans discard justice for lesser creatures.
  • Egyptian Concept of Maat: Formed to balance diverse populations with conflicting interests to avert chaos. It serves as the basis for cosmic and civil order.
  • The Hippocratic Oath: Analyzed alongside robotic safety as an early standard of western medical ethics centered on beneficence (acting in a patient’s best interest) and non-maleficence (“first, do no harm”).

4. Modern AI and the Moral Landscape

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?

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Balancing of the books – just deserts

[Draft 4-12-2026]

Moral inferences & influencers

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.

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I’m sorry, … I can’t do that – AI misbehavior

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.

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‘to process difficulty without being consumed by it’ – EI, EQ

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.

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Braiding and mattering – connecting complexity

[Draft 3-2-2026, additional notes 3-3-2026]

Beyond warp & weft

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.

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Breaking magic, breaking wonderland

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:

  1. Raise (bring back) the dead
  2. Force someone to love you (make somebody fall in love)
  3. Change the past

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.

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Hope for 2026 – Gen Z’s voice?

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.

muddy or not, here we come …

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.

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