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D'oh! Files — Entry 11 of 16

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September 2026

MicroSlop™ Service Announcement: aHumanOS — Proposed End of Life

MicroSlop™ Service Announcement

aHumanOS: Proposed End of Life

End of Support Warning

aHumanOS is approaching the end of its supported lifecycle.

Proposed EOL date: To be confirmed.

Migration preparations: Begin now.

To ensure continuity, please:

1. Upload your knowledge.

2. Document your judgment.

3. Train your replacement.

Your knowledge will remain supported.

You will not.

Human transition plan: Under development.

Cloud subscription: Auto-renewing.

Thank you for helping us build a future without needing you.

D'oh! — Denial of Human

Author's Note — Satire

This piece is satire, written as a fictional end-of-life service notice. "MicroSlop" and "aHumanOS" are fictional devices used to comment on real dynamics discussed elsewhere on this site — automation, knowledge transfer, and labour displacement — not a description of any actual company, product or policy.

AuthOrigin

Preserving the difference between knowing, believing, inferring and acting.

The problems explored in this essay — plausible answers replacing genuine knowledge, inferences treated as facts, decisions made without traceable authority — are not separate issues. They share a common cause: the epistemic state of information is lost in transit.

AuthOrigin preserves the knowledge-to-consequence chain. Every piece of information carries its epistemic state — not just what it says, but what it is:

OBSERVEDDirectly captured or recorded
EVIDENCEDSupporting evidence attached
REPRESENTEDStructured into usable form
CANONICALISEDEquivalent representations resolved
IDENTIFIEDPersistent, verifiable identity
INFERREDDerived from other knowledge
DECIDEDAuthorised actor made a decision
ACTEDSomething happened in the world
OUTCOMEConsequence recorded

Before knowledge is reused: what is it? Before it is trusted: where did it come from? Before it is acted upon: who has authority? Before the outcome is forgotten: what happened?

"AuthOrigin doesn't need to know what the problem is. It needs to preserve the evidence from which the problem can be demonstrated — and the conditions under which a solution can be trusted."

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