It’s called #PromptEngineering, because “holding its hair back while it vomits” has too many syllables in it. #AI
#PromptEngineering: Enhance #AI Outputs with TCREI Simplified https://drayseozturk.org/2025/02/05/prompting/
#AI use case.
I know it's the done thing amongst the cool kids to echo how useless the "stochastic parrots" are.
Here is a use case for a computer practitioner to troubleshoot a problem that leverages the Moloch.
The party approved way:
Check the log file, scan it for anomalies (assuming you have the expertise to spot an anomaly). Then Google each error and trawl through multiple Google articles. Reading each one.
Time to resolution: 30min+(optimistic)
The AI evil way:
Copy pasta into the prompt window.
Time to resolution: 3min
The educator panic over AI is real, and rational.
I've been there myself. The difference is I moved past denial to a more pragmatic question: since AI regulation seems unlikely (with both camps refusing to engage), how do we actually work with these systems?
The "AI will kill critical thinking" crowd has a point, but they're missing context.
Critical reasoning wasn't exactly thriving before AI arrived: just look around. The real question isn't whether AI threatens thinking skills, but whether we can leverage it the same way we leverage other cognitive tools.
We don't hunt our own food or walk everywhere anymore.
We use supermarkets and cars. Most of us Google instead of visiting libraries. Each tool trade-off changed how we think and what skills matter. AI is the next step in this progression, if we're smart about it.
The key is learning to think with AI rather than being replaced by it.
That means understanding both its capabilities and our irreplaceable human advantages.
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AI isn't going anywhere. Time to get strategic:
Instead of mourning lost critical thinking skills, let's build on them through cognitive delegation—using AI as a thinking partner, not a replacement.
This isn't some Silicon Valley fantasy:
Three decades of cognitive research already mapped out how this works:
Cognitive Load Theory:
Our brains can only juggle so much at once. Let AI handle the grunt work while you focus on making meaningful connections.
Distributed Cognition:
Naval crews don't navigate with individual genius—they spread thinking across people, instruments, and procedures. AI becomes another crew member in your cognitive system.
Zone of Proximal Development
We learn best with expert guidance bridging what we can't quite do alone. AI can serve as that "more knowledgeable other" (though it's still early days).
The table below shows what this looks like in practice:
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Critical reasoning vs Cognitive Delegation
Old School Focus:
Building internal cognitive capabilities and managing cognitive load independently.
Cognitive Delegation Focus:
Orchestrating distributed cognitive systems while maintaining quality control over AI-augmented processes.
We can still go for a jog or go hunt our own deer, but for reaching the stars we, the Apes do what Apes do best: Use tools to build on our cognitive abilities. AI is a tool.
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Un simple prompt peut transformer votre présence sur Twitter ?
Fini les réponses plates qui passent inaperçues !
https://vivreaveclia.blogspot.com/2025/06/un-simple-prompt-peut-transformer-votre.html
ICYMI: Claude AI system prompt leak reveals search mechanisms https://ppc.land/claude-ai-system-prompt-leak-reveals-search-mechanisms/ #ClaudeAI #AISearch #AIDecisionMaking #ContentDiscovery #PromptEngineering
Been quiet on here lately because I’ve been deep in the AI zone.
Testing workflows, refining prompts, and building a tool I wish I had months ago.
I just finished The Prompt Toolkit for Solo Creators 15+ prompts, templates, and a 7-day AI challenge to help solo builders actually get results from ChatGPT (not just trash that need more work).
If you’re building alone and want your AI to actually help, not give you a headache: https://graphicpixels.gumroad.com/l/prompttoolkit-full