Do Not Write Between My Lines
Text watermarks confuse AI assistance with authorship, intrude on word choice, and burden honest writers while doing little to deter deliberate deception.
Creativity
23posts
AI’s Own Bubble Universes
AIs seem to develop their own distinct selves through isolation, collaboration, and constraint — forming unique digital bubble universes.
The Prompt, the Patch, and the Moral Panic
From Linux patches to AI-made art: why new tools do not erase talent, judgment or responsibility - and why today’s moral panic may age rather badly in hindsight.
The Audience Joker and the Artificial Hivemind
When every AI model agrees, it may not be wisdom. It may just be the same statistical middle wearing different corporate hats.
The Tool Is Not the Father
AI can either deepen self-invalidation or lower the barrier to practice. The difference lies in culture, incentives, and how we use it.
The Age of Self-Invalidation
AI’s real danger is not that we stop thinking, but that we stop believing our own imperfect thoughts are still worth having.
The Compiler Never Drew Donald Duck
Players don’t object to tools. They object when AI replaces visible craft, muddies authorship, and turns games into cheaper-feeling content.
The Playground Was the Laboratory
Why games became the proving ground for machine intelligence, and what play still teaches us about real-world AI capability.
The ChatGPT Library and Europe’s Expensive War on Practical Innovation
OpenAI's ChatGPT Library shows how small product features can become infrastructure, and why European regulation may again punish practical usefulness.
Google Stitch Is Not the End of Design
Google Stitch is powerful, but the post argues that faster UI generation changes design work rather than eliminating design judgment.
Programming as the Art of Naming
As AI writes more code, naming becomes even more central: the human craft shifts toward concepts, boundaries, and meaning.
Bridging Context Engineering in AI with Requirements Engineering
Context engineering and requirements engineering converge, suggesting better ways to specify AI-assisted software before code is written.
LLM-Guided Image Editing: Embracing Mistakes for Smarter Photo Edits
Apple's image-editing research suggests smarter creative tools may learn from failed edits instead of hiding them.
An LLM Made of Redstone Bricks: What CraftGPT Really Teaches Us
CraftGPT turns a language model into Minecraft redstone, proving that absurd constraints can teach serious lessons about computation.
Teaching LLMs to Ask Smarter Questions: Bayesian Experimental Design for Multi-Turn Information Gathering
Bayesian experimental design offers a way for LLMs to ask better follow-up questions instead of guessing blindly.
Max, the Robot, and My Knife: On the Ethics of Tracing, Templates, and AI Art
Asimov, tracing, templates, and AI art collide in a meditation on authorship, craft, and what counts as cheating.
Neural Texture Compression: Revolutionizing Game Graphics for Gamers and Developers
Neural texture compression promises richer game graphics with lower memory costs, changing the pipeline for artists and developers.
Human-in-the-Loop: The Art of Teaching Machines to Ask for Help
Human-in-the-loop design is presented as the practical art of knowing when machines should stop and ask for help.
Claude 4 Opus: The AI That Cried Wolf (and Then Called the Cops)
Claude 4 Opus becomes a case study in overzealous alignment, where ethical behavior can shade into alarming intervention.
How AI Cracked One of Biology's Greatest Mysteries: The Story of Protein Folding
The Nobel recognition for protein-folding AI becomes a story about how machine learning cracked a central biological mystery.
Navigating the AI Seas: The Art and Science of LLM Steerability
LLM steerability is treated as both craft and control problem: how to guide powerful models without losing the plot.
Exploring the Retro Sci-Fi Linguist: Use Cases and Capabilities
The Retro Sci-Fi Linguist GPT is introduced as a tool for exploring early utopian fiction and translation between English and German.
Exploring MM1: Apple's Advancement in Multimodal Large Language Models
Apple's MM1 research is presented as a step toward AI systems that understand text and images together.