Automation Feels Different When It Touches Reality

Automation in the abstract feels clean. A script executes, a rule triggers, a process completes. It’s precise, predictable, and measurable. In practice, it bumps into the messy, analog world: network lag, partial inputs, unexpected human behaviors, sensor noise. The code never changes, but the environment does, and suddenly your assumptions become liabilities.

https://cha1nc0der.wordpress.com/2026/03/28/automation-feels-different-when-it-touches-reality/

@sarahdalgulls I know that generative AI applies a set of rules , and is just a "text rearranger". However, I don't see that as necessary precluding intelligent results, as there are many examples of emergent complexity in mathematics. One example the Mandelbrot set has infinite complexity, yet arises from applying a simple rule to each point. A classic example is the [game of life https://en.m.wikipedia.org/wiki/Conway%27s_Game_of_Life], where different starting states can give different complex outcomes.

So, I would not be surprised if a complex system produced more than you'd expect by just rearranging words. When and if we do create real artificial intelligence it won't be something planned and programmed but an emergence from a complex system, just as our intelligence is an emergence from neurons that fire depending on complex rules. It is likely to be quite different from anything we predicted the system would do, and possibly not obvious as intelligence at first.

#ai #emergentbehaviors #philosophyofscience

Conway's Game of Life - Wikipedia

Poietic Generator - Wikipedia

@nic221 Thanks for posting this. There's so much focus on the shortcomings of #AI #LLM but the #EmergentBehaviors are what's truly amazing.
137 emergent abilities of large language models — Jason Wei https://www.jasonwei.net/blog/emergence (interesting) #AI #LLM #EmergentBehaviors
137 emergent abilities of large language models — Jason Wei

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Jason Wei
The Unpredictable Abilities Emerging From Large AI Models | Quanta Magazine

Large language models like ChatGPT are now big enough that they’ve started to display startling, unpredictable behaviors.

Quanta Magazine