Mediocratopia: 5

This entry is part 5 of 13 in the series Mediocratopia

In a world that runs on ceremonial expectations of optimal performances, but where it is rarely in your best interests to actually deliver optimal performances, practicing mediocrity necessarily involves capability masking: the act of hiding the true extent of your capabilities.

Capability masking is the opposite of “fake it till you make it” behavior, and comes in two varieties, illustrated below, both of which are involved in the behavior commonly referred to as sandbagging.

Capability masking has to be done in a subtle way. You can’t just pick a suboptimal performance level that’s in your own best interests and then nail it precisely without breaking a sweat. Sandbagging is an artistic performance, not a throttle setting, and it’s worth learning to do well.

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A New Newsletter: The Art of Gig

As some of you already know, I’ve added a new thing to the sprawling Ribbonfarm Media Empire: a paid newsletter on substack ($5/mo or $50/y) called The Art of Gig. To quote myself from the About page:

This is a weekly newsletter for indie consultants who are in the gig economy for the deep fun of it. I took the name, The Art of Gig, from a rather idiotic absurdist short story I wrote about the consulting life a few years ago, which had my regular readers groaning and laughing in equal parts. The phrase itself, as you might guess, is a joke reference to Sun Tzu’s Art of War.

Read the rest of the About page to learn more. I’m now 2 weeks, and 3 issues, into it. The plan is to do at least 1 paid issue a week, and 1 free issue a month. The first issue, 42 Great Imperatives, is free to read. The second and third issues are for paying subscribers only. By way of a teaser, here is a picture of a strategometer, a device I discuss in my most recent issue.

The Strategometer

So far, I have 418 subscribers signed up, of whom 198 are paying subscribers. Clearly, readers of this list are poised to take the consulting world by storm, while funding an early retirement for me 😎.

So if you’re looking to improve your independent consulting game, or hoping to break into it, you may want to consider subscribing to The Art of Gig.

Domestic Cozy: 4

This entry is part 4 of 13 in the series Domestic Cozy

I came across a phrase in the coverage of the admissions scandals now plaguing several elite US universities: snowplow parenting. The phrase refers to a particular kind of contemporary active parenting that focuses on clearing obstacles from the paths of Gen Z children. The phrase is an interesting hardening of the idea of helicopter parenting, which parents of Millennials were accused of in the 90s.

The difference between helicopter and snowplow parenting is the difference between peacetime social ambition and a wartime circling of wagons around kinship interests.

Helicopter parents, I suspect, fought to give their kids an unfair leg up in a system they saw as essentially meritocratic and fair, during a decade (the 90s) that was widely viewed as prosperous. It was a covered call bet on a society that was perceived to be winning overall.

Snowplow parents, on the other hand, I suspect want to give their kids an unfair leg up in a system they see as essentially corrupt, during a decade and half (2008-24) that they view as a slow collapse. It is shorting of a society that is perceived to be losing overall.

What does it even mean to short society? In the case of university admissions scandals, I suspect it means, “use my wealth and social capital to get my kid a prestigious degree while that still means something.”

Timing is more critical in a short bet after all, and it is easier to justify participating in unambiguous corruption; you can pretend you’re just getting your share of harvestable value from something that’s already dying.

Snowplow parenting is an interesting metaphor. There is the sense of harsh outdoor conditions full of obstacles that require clearing to create comfortable survival conditions.

Winter has arrived. Snow must be cleared to achieve a state of domestic cozy.

Worlding Raga: 5 — World How?

This entry is part 5 of 7 in the series Worlding Raga

A bit of fun synchronicity. A few weeks ago, I came up with a snowcloned line inspired by a famous tldr of general relativity: narratives tell archetypes how to evolve, archetypes tell narratives how to curve. 1 Right after, I found a Terry Pratchett quote that says almost the same thing, but less ponderously: “Our minds make stories, and stories make our minds.” I prefer my version though, since I like the synaptic link to physics it creates.

Narratives drive archetype evolution (“stories make minds”) through irreversible expansion of awareness of possibilities, via actual instances playing out. Here is a 2×2 of what I think is a good set of answers to the question in my subtitle, world how?

When you ask who worlds? as Ian did last time, you get at archetypes telling narratives how to curve. When you ask, world how? as I am doing this time, you get at narratives telling archetypes how to evolve. The short answer is: through irreversible actions including a very special irreversible action that I’ve plotted in the center of the 2×2: waiting.

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Elderblog Sutra: 6

This entry is part 6 of 13 in the series Elderblog Sutra

Last time, we took an content graph view of this elderblog. Now let’s take a word-count view. There is something pleasantly honest about word counts. They strike a thoughtful balance between weighing writing in too-literal (compressed file sizes) and too-abstract (post count) ways. Ribbonfarm has averaged 11,491 words/month over its 11.5 year history.

3 month moving average of ribbonfarm word count

The two spikes in 2007 and in 2017 are explained by me flushing out a pile of private drafts when I started, and the publishing of the longform course participant essays respectively. The steady accumulation is even clearer in the cumulative word-count graph:

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Infinite Machines: 3 — Turking Interfaces

At its peak, the 18th century Mechanical Turk toured the world; leaving audiences in awe at its seemingly advanced ability to beat opponents in chess. It only became publicly known after decades the Turk had a human chess master below who would manipulate the machine to make moves on their behalf. Over two centuries later in 2017, Google’s AlphaGo beat the world’s best Go player with no human intervention. In this case, the core technology evolved from human to machine, but personas were constructed along the way to disguise human labor behind the interface.

Beyond entertainment, this type of persona construction extends to humans used for service labor. As trains became commercialized in the 1860’s, black porters were known as George’s amongst passengers. This name comes from George Pullman, manufacturer of the Pullman Sleeper car. The George, similar to the Turk, functioned as a mask to human identities. Though George’s (as an interface) represented a deeper charade of power relationships.

Amazon adopted the Mechanical Turk name for one of their platforms, and it has since grown to be the world’s largest online workforce, comprising roughly 500,000 contract-based employees around the world. These ‘turkers’ help researchers and tech companies bring structure to unstructured data and train AI; with activities ranging from spotting fake news to filling out surveys. While it’s known that humans are behind the interface, they’re represented only as a string of letters and numbers to requestors.

In Finland, the Criminal Sanctions Agency is partnering with Vainu, an enterprise SaaS tech company, to employ prisoners as ‘turkers’ to validate data that will help organizations arrive at more comprehensive business decisions. While the company boasts the prisoners are gaining transferable skills, the dissonance between the worlds of the end user and prisoner blur the lines of where the human labor ends and the machine begins.

Mediocratopia: 4

This entry is part 4 of 13 in the series Mediocratopia

You’ve probably heard of optimization, that nihilistic process of descending into valleys or ascending up hills till you get stuck, having an existential crisis, and then flailing randomly to climb out (or down) again. Mediocritization is the opposite of that: never getting stuck in the first place. Here’s a picture.

Optimization versus mediocritization
Optimization versus mediocritization

The cartoon on the left is optimization. The descent is a relatively orderly process (“gradient descent” takes you in the local steepest incline direction). The getting-out-again part is necessarily disorderly. You must inject randomness. The cartoon on the right is mediocritization: don’t get stuck.

When people talk of “global” optimization, they usually mean that over a long period, you flail less wildly to get out of valleys because the chances that you’ve already found the deepest valley get higher as you explore more. This process goes by names like “annealing schedule”.

Global or local, the thing about optimization is that it likes being stuck at the bottoms of valleys or the tops of hills, so long as it knows it is the deepest valley or highest hill. The thing about mediocritization is that it does not like either condition. Mediocritizers likes to live on slopes rather than tops or bottoms. The reason is subtle: on a slope, there is always a way to tell directions apart. The environment is different in different directions. It is anisotropic. Mediocritization is an environmental anisotropy maintaining process (not a satisficing process as naive optimizers tend to assume).

Anisotropy is information in disguise. Optimizers get stuck at the bottoms of valleys or tops of hills because the world is locally flat. No direction is any different from any other. There are no meaningful decisions to make relative to the external world because it is the same in all directions, or isotropic. This is why you need to inject randomness to break out (mathematically, the gradient goes to zero, so can no longer serve as a directional discriminant).

Generalizing, in mediocritization, you always want to have a way available to continue the game that is better than random. This means you need some anisotropic pattern of information in the environment to act on.

Three examples of mediocritization:

  1. When Tiger Woods was king of the hill (a position he just regained after a long time), his closest competitors performed worse by about a stroke on average. Apparently, when Tiger is in good form, there’s no point trying too hard. See this paper by Jennifer Brown..
  2. My buddy Jason Ho, who just had this entertaining profile written about him, is on the surface, a caricature of an optimizer techbro. But look again: he trained hard and placed second in an amateur body-building competition, and then moved on to newer challenges rather than obsessing over getting to #1.
  3. When I was in grad school, and occasionally hit by mild panic at the thought of somebody scooping me on the research I was working on, I came up with a coping technique I called “+1”. For any problem, I’d always take some time to identify and write down the next problem I would work on if somebody else scooped me on the current one. That way, I’d hit the ground running if I was scooped.

Carsean moral of the 3 stories: optimization is how you play to win finite games, but mediocritization is how you play to continue the game.

Domestic Cozy: 3

This entry is part 3 of 13 in the series Domestic Cozy

I increasingly like a thesis I initially resisted: many unusual and toxic culture-war phenomena in nominally public spaces can be understood as an outward projection of a cozy ethos prevailing in domestic spaces. Applying Jungian magical thinking, we should expect this projection to be anything but cozy. The shadow of domestic cozy ought to be a particular pattern of public strife. We should expect this strife to have a recognizably domestic heat signature — the ugly family scene rather than the barroom brawl, soccer riot, or gang war.

When I first tweeted about domestic cozy, Ben Mathes suggested that phenomena like safe spaces and trigger warnings on college campuses, and associated high incidences of depression and anxiety in Gen Z adolescents, ought to be considered an expression of the Zoomer personality. It does seem like the spike in those phenomena coincided with Zoomers starting to enter college. An epimemetic product of a stressful coming-of-age decade, and overprotective (but not necessarily overindulgent) parenting. I resisted the suggestion initially, since it seemed inconsistent with the peaceful domestic expression of the archetype, but I am now on board, via the Jungian argument.

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Escaping Reality: Refactor Camp 2019, Los Angeles, June 15-16

Refactor Camp is back! The 2019 edition will be held in Los Angeles, the weekend of June 15-16, at the lovely design studio of Philosophie in Santa Monica. The theme for this year is “Escaping Reality.”

Theme details, registration link and session proposal submission link can be found at the swanky new event website

(it’s the first time in the 7-year history of the event that we’ve had a proper website, thanks to long-time reader Megan).

As you know if you’ve attended before, we’ve always run the event on a no-profit/no-loss basis. The cost this year works out to $95. Registration will remain open until tickets run out. The venue capacity is limited to 120, and as I write this, 63 regular tickets remain (an auspicious 42 tickets were taken during the closed pre-registration period for returning attendees, and we’re holding 15 in our cronyism reserve). The event tends to sell out early, so if you plan on attending, you should register early.

Session proposals are due by April 30, and you can find the proposal submission link on the event site. Earlier is better, and if we get enough proposals early enough, the program may get locked down early, so if you’d like to do a talk or session, get your proposal in as early as you can.

We’re still working out the program details, but as usual there will be a mix of lightning talks, longer talks, interactive sessions, and hopefully a beach outing (outdoor walkabout sessions have always been a feature of Refactor Camp, though we couldn’t do one last year due to it being in the Texas desert with buzzards and rattlesnakes around).

Look for the final program sometime in early May. As with previous years, we’ll be trying to pull together a good mix of returning and new people among both attendees and speakers/session leaders. For now, the theme blurb should give you an idea of what to expect.

This year’s efforts are being led by Darren Kong (who was also a lead organizer last year in Austin), with support from Megan Lubaszka, Patrick Atwater, Nolan Gray, Ryan Tanaka, and myself.

So hope to see a bunch of both new and familiar faces in June. Register and/or submit session proposals here.

Infinite Machines: 2 – Plasticized Erotica

Today, the sexbot industry gives men the inverse of what Barbie gives girls: a sense of control over the opposite sex.

Upgrade her to suit your needs. Mostly docile. Never late. She’s yours to keep.

This industry isn’t particularly anti-woman, but does reveal an enthusiasm for male freedom through decreased interdependence from the emotional needs of women.

This begs the question: how does the value of synthetic life influence social norms toward natural life? Turns out, it’s complicated.

  • Sexbots aren’t sentient, therefore have no dignity to uphold.
  • They give power, but can’t be genuinely influenced.
  • Pornographic pleasures, but no intimacy.
  • Control, but no consent.

I could continue, but when examining what’s lost in this emergent future, it seems male users will be inevitably forced to reconcile their desires with real women, legal systems, and the broader public. Individuals are escalating concerns and regulation, and rightfully so. The female body has been objectified and stripped of sexual freedom across nearly every aspect of humanity. In an era where ‘consent’ is still ambiguous from the streets to the sheets, should we further empower men who choose not to practice it?

Whether sexbots could be used for radical autonomy is an interesting question. VR is being used to treat PTSD, anxiety, and facilitate sex therapy. Consider for a moment if sexbots took a similar path.

  • Less rape in prisons.
  • Interactive consent lessons in classrooms.
  • Men on campuses knowing how to ask for what they want at the end of the night.
  • In homes, sexbots might reduce sexual tension that’s often tangled with the economic aspects of marriages.

In the near future, women will continually be expected, unfortunately, to owe their bodies to men. But perhaps with the right intervention, sexbots can absorb ignorant and toxic mistakes; helping re-distribute power to design a world of social equality between sexes.