Swap published columns for 24 entries from random.md
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Retract the seven published columns into drafts/ and promote the 24 per-date
entries split out of Notes/random.md. Bodies are verbatim; titles, subjects
and slugs are new.

Make publication a matter of location. Notes/Notes.11tydata.js gives anything
under Notes/ permalink: false unless tagged `column`; drafts/drafts.11tydata.js
renders drafts at their real permalink under `yarn dev` and excludes them from
collections entirely in a build, so no template can surface one. Publishing is
now `git mv drafts/<file> columns/`, and moving it back retracts it.

Untagged notes were previously rendered into _site/ and deployed — including
Notes/random.md, which was live at /Notes/random/.
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---
title: Do ~~Machines~~ People Think?
date: 2026-04-02
layout: column.njk
tags: [column, philosophy]
permalink: /columns/2026/do-people-think/
---
## Rough Notes
- Thinking:
- Can we flip this around, and define it by reduction? What isn't thinking?
1. Reaction
2. Reflex
3. Conditioned behavior
- But what part of thinking isn't grounded in some conditioned behavior? Some reflex triggered by a problem to solve?
- But thinking seems to involve "modeling," and for our purposes, we mean a mental model.
- This mental model gets tested, calibrated, exercised.
- So how is this different than a program?
- Digital vs. Analog?
- Inputs, the decisions, are much fuzzier for organic mental models (and thinking)
- Computers are (seemingly) deterministic
- But, if we shed this assumption, what happens to our distinction?
- If computers can "approximate" the fuzziness with digital values...
- same question, what happens to our distinction?
- Thinking as a survival skill
- Thinking as communication
- Socialization
- Connecting with neighbors and "vibing."
- Thinking as an emergent behavior, among a pool of people
- Maybe the mob mentality is the purest expression of thought.
- Without self, or ego.
- What does it map to, in the scheme of things?
- I keep thinking about connections
- And how stifling it is to exist in isolation
- But to become ingrained in something
- And to connect with the people, the pieces
- To have an exchange, that's the essence of thinking
- Some kind of transformation, born from the coordination and interaction of many players
- Bottling it within youself, just as senses, impressions without a voice, with no expression or transformation
- We form groups, we organize, and we process together. That's thinking
## Quotes
> "[he thinks] that the idealistic creations of his mind... also represent reality." - Claude Bernard
> "Much thinking is done in completely personal, idiosyncratic terms, so much so that how it is done is incommunicable." - Gerald Weinberg
## Questions
- Who is Claude Bernard?
- Famous French Physiologist (1813-78).
- How would I define "thinking?"
- Is "thinking" in isolation really thinking? Or, is thinking in a social / anthropological sense a connector?
- Do machines Think?
- Yes
- True thought has structure, a sequence, clear logical steps.
- It is neither random nor unpredictable. It follows clear, irrefutable logic.
- Anything else is noise
- No
- Machines are bound by rules. They can only follow a pre-programmed sequence of steps
- The sequence may have rich variety, but lacks in originality.
- Thinking is about novelty. Making leaps of intuition and instinct.
- If we can pave the way between with logic or reasoning, that's nice, but not essential.
- I reject this approach as flawed, lacking both nuance and merit.
- Total aside: the point shouldn't be to subscribe absolutely to one side or the other, and claim it the undeniable truth.
- These are devices, anchor points around which we can scaffold our reasoning, and draw tighter bounds around the concept being examined.
- They themselves are not to be confused with the subject at hand.
- by extension, we won't say that one or the other, both or neither are the thing itself.
- Like confusing the map for the terrain.
- these are navigational aids
- So probably not a single definition of thinking
- there's the intuitive kind, that machines might struggle with
- There's the expansive, logical kind, machines are better suited for.
## Links
[1] - Hamming, R. (1997). The art of doing science and engineering: Learning to learn. CRC. <https://archive.org/details/artofdoingscienc0000rich>
[2] - Weinberg, Gerald M. An Introduction to General Systems Thinking. Wiley, 1975. Internet Archive, <https://archive.org/details/introductiontoge00gera>.