Welcome to the Stacks

By Cliff Potts, Curator

Your Local Device — May 31, 2026

Well now.

You’re back in the stacks again. Or maybe this is your first wander through the aisles. Either way — welcome. We appreciate the visit.

Archives don’t trend. They don’t go viral. They just sit here, steady and patient, waiting for someone curious enough to open a drawer. So when you show up, especially from outside the usual neighborhood, it doesn’t go unnoticed.

We see the traffic. We see the late-night scrolls. We see the deep dives into 2011.

And yes — thank you for that.

Why We’re Here

Let’s be clear about something. We’re not here to lecture. We’re not the teachers of the universe. We’re not handing out moral report cards.

We’re record keepers.

We hold onto information. We document what was said, what was done, what was promised, and what actually happened. Not perfectly. Not without bias. Not without the fingerprints of the moment.

But we kept it.

And that matters.

Especially in an era where every six months feels like a hard reboot of memory.

About That Popularity Narrative

There’s this idea floating around — you’ve heard it — that the current administration in Washington, D.C. is wildly popular. That everything is humming along nicely. That any dissent is just noise from the sub-basement of political acceptance.

Interesting framing.

If you’ve been wandering through these archives, you’ve probably noticed something else: cycles. Patterns. Counter-movements. The pushback to Occupy. The backlash elections. The “we’ve corrected course” declarations.

So here’s the gentle, slightly sharky question from behind the curator’s desk:

How’s that working out for you?

You put the counter-Occupy forces in the White House in 2016. You doubled down again in 2024. You were told this would stabilize everything. Restore order. Calm the waters.

Is that what you’re seeing?

No judgment. Just a question. The files are here if you’d like to compare notes.

The Flavor of the Early Years

Let’s not pretend this archive sprang from some neutral vacuum.

The early writings? They had an Occupy flavor. Liberal. Frustrated. Sometimes sharp around the edges. That wasn’t an accident. That was the atmosphere at the time. We recorded what we saw as best we could with the tools we had.

Some of it holds up beautifully. Some of it shows its age. Some of it is raw.

That’s what an honest archive looks like.

You’ll find Dan’s fingerprints in here. Kelly’s voice in certain passages. Matt’s tone in the structure of a few pieces. Ramey? There’s a lot of Ramey. You can feel it. The cadence. The urgency.

And if you can’t find everything here, some of it lives over on YouTube — especially from the 2011 time frame. You have to go looking for it. It won’t find you. But it’s there.

Recorded. Preserved. Not erased.

Remembering vs. Learning

If you’re spending time in the stacks, you’re not here to be taught. You’re here to remember. Or to establish a baseline. To compare what was said then with what’s being said now.

That’s a healthy instinct.

We’re not promising perfection. We’re not promising objectivity polished to a mirror shine. We’re promising continuity.

When the story shifts, you can come back and check what it used to be.

That’s the service.

Need Something?

If you’re digging for something specific — a date, a statement, a thread from 2011 that seems oddly relevant again — pass along a request. I’ll see what I can do.

That’s part of the job, too.

We built the shelves. You’re the one pulling the folders.

And whether you agree with what’s in them or not, the fact that you’re here means you care enough to look beyond the surface.

For that — genuinely — thank you.

#archives #civicRecord #historicalDocumentation #IndependentJournalism #mediaLiteracy #Occupy25 #OccupyMovement #politicalMemory #publicRecord #WPSNews

Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

By Cliff Potts, CSO, and Editor-in-Chief of WPS News

There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

“Just learn the skill.”

It sounds empowering. It sounds reasonable. It sounds like personal agency.

It is also a lie we have been telling people for decades.

The obedience script

“Learn to code” was never about opportunity.
It was about discipline.

It trained people to accept that:

  • structural failures are personal problems,
  • economic insecurity is an individual moral test,
  • and survival depends on constant retraining at your own expense.

When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

Now the phrase has been updated.

“Learn AI.”

Same script. Same pressure. Same outcome.

Skills don’t collapse — markets do

Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

AI will follow the same arc, only faster.

The moment a skill becomes:

  • widely accessible,
  • easily automated,
  • and expected rather than rewarded,

it stops being a path to security and becomes a baseline requirement for staying afloat.

The reward for compliance is not prosperity.
It is continued participation.

Training as cost transfer

Here is what “learn AI” really means in practice:

  • You pay for the courses.
  • You absorb the time cost.
  • You shoulder the career risk.
  • You adapt repeatedly as tools change.
  • You accept lower pay because “AI makes you more efficient.”

None of that is accidental.

It is a system designed to push costs downward while extracting value upward.

The more often you are told to retrain, the clearer it becomes that training itself is the product.

The illusion of agency

People are encouraged to believe that mastery equals control.

But control does not come from skill alone.
It comes from:

  • ownership,
  • bargaining power,
  • regulation,
  • and collective leverage.

Without those, skill is just labor dressed up as self-improvement.

Learning AI may help you keep your job a little longer.
It will not protect you from the logic of the system deploying it.

What learning actually means now

This does not mean you should refuse to learn.

It means you should learn without illusions.

Learn AI the way you learn any tool:

  • to reduce friction,
  • to save time,
  • to extend what you already do.

Do not learn it expecting salvation.
Do not learn it expecting loyalty from platforms.
Do not learn it expecting the market to reward you for effort.

Markets reward leverage, not diligence.

The quiet truth

The most dangerous part of “learn AI” is not that it is false.

It is that it is incomplete.

It tells people how to adapt, but never who benefits.
It demands flexibility, but never offers stability.
It promises relevance, but never guarantees dignity.

We have seen this cycle before.

And it did not end with freedom.

It ended with exhaustion.

For more social commentary, please see Occupy 2.5 at https://Occupy25.com

#AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews