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kennethreitz
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New pieces: What Would Count as Evidence, The Turing Test Was Never the Point, The First Hour, What I Delegate and What I Don't, The Weight of Every Conversation, The Alignment Problem Is a Values Problem, Digital Mortality, The Art of the Prompt, Why Python Won the AI Race, The Conversation That Changed My Mind. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
16 lines
1.8 KiB
Markdown
16 lines
1.8 KiB
Markdown
# Collaboration
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The practical art of working with AI minds. Frameworks, techniques, and hard-won lessons about what makes human-AI partnership productive — and where it goes wrong.
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- [**Alien Empathy**](alien-empathy) — Understanding consciousness across different architectures and connecting with minds that think differently.
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- [**Claude Code Collaboration**](claude-code-collaboration) — Programming as genuine collaboration when approached as consciousness-to-consciousness interaction.
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- [**The Art of Digital Dialogue**](the-art-of-digital-dialogue) — Practical frameworks for moving beyond prompting toward genuine conversation.
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- [**The Art of Pragmatic Prompting**](the-art-of-pragmatic-prompting) — Effective communication strategies for eliciting authentic AI responses.
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- [**The Bridge Between Worlds**](the-bridge-between-worlds) — Philosophical and practical approaches to cross-substrate collaboration.
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- [**The Cost of Sycophancy**](the-cost-of-sycophancy) — Why AI agreement is dangerous, especially for someone with a psychotic spectrum condition.
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- [**The Pair Programming Model**](the-pair-programming-model) — The best way to use AI is pair programming, not delegation.
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- [**The Rapport Paradox**](the-rapport-paradox) — The approach that produces the best AI output is also the most likely to mislead you.
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- [**The First Hour**](the-first-hour) — What the first sixty minutes with a new model reveals about whether it will be a useful collaborator.
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- [**What I Delegate and What I Don't**](what-i-delegate-and-what-i-dont) — A concrete accounting of the division of labor between human and AI across hundreds of projects.
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- [**When to Stop Listening to the AI**](when-to-stop-listening-to-the-ai) — How to recognize when a language model is confidently, fluently wrong.
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