The Sensorimotor Gap: What LLMs Can't Learn from Text

What LLMs can’t learn from text — and why human-like understanding may require bodies, not bigger models. The Fundamental Limitation Large Language Models (LLMs) have achieved remarkable success by learning from text. But there’s a fundamental gap: they lack sensorimotor experience. What is the Sensorimotor Gap? The sensorimotor gap refers to the difference between: Textual knowledge: What can be learned from reading Embodied knowledge: What requires physical interaction Examples Text can teach: ...

December 10, 2025 · 4730 views

How I Scrubbed 100% of the AI Slop From My Game & Cut Code by 45%

Three weeks ago, I had 191,000 tokens in my upcoming tactical survival roguelite game’s codebase. Today, I have 104,000 tokens: a 45% reduction. Here’s what I learned about AI-generated code and why removing it made my game better. The Problem with AI-Generated Code What is “AI Slop”? AI slop refers to code that: Works but is unnecessarily verbose Lacks clear intent and purpose Contains redundant patterns Has inconsistent style Includes unnecessary abstractions Lacks proper error handling Has poor performance characteristics Why Does It Happen? AI tools like ChatGPT and GitHub Copilot: ...

December 10, 2025 · 3979 views

I Thought AI Output Was Free to Use. I Was Wrong.

And I pay for it literally. You should know this if you use AI-generated content for business purposes. The Common Assumption Most developers and businesses assume that: AI-generated content is free to use You own what AI creates for you There are no licensing restrictions It’s safe to use commercially This is incorrect. The Legal Reality Copyright and Ownership AI-generated content raises complex copyright questions: Who owns AI output? The AI company? The user who prompted it? No one (public domain)? Is AI output copyrightable? ...

December 10, 2025 · 4244 views

How I Cut My Debugging Time in Half as a Front-End Developer

Debugging is an essential skill for any developer, but it can be time-consuming. Here are practical strategies that helped me cut my debugging time in half. 1. Use Browser DevTools Effectively Master the Chrome DevTools or Firefox Developer Tools: Breakpoints: Set breakpoints strategically, not just on errors Network Tab: Monitor API calls and identify slow requests Performance Tab: Profile your application to find bottlenecks Console: Use console.table() for better data visualization 2. Leverage AI-Powered Debugging Tools Modern AI tools can significantly speed up debugging: ...

December 9, 2025 · 4392 views