LLMs Learn Better by Analogies and Metaphors
Exploring how analogies and metaphors enhance the learning process of Large Language Models.
Posts tagged "LLM"
TOON Format: I Already Built This Bullshit in 2024 (And Wiped It After Thousands in Failed API Calls)
In 2024, I authored LRDL (LLM Requirements Definition Language) - the exact same concept as TOON. After spending thousands in API calls testing it, I found out only frontier models understand it, at extra thinking cost. Small models need structure. Deepseek started speaking Mandarin mid-discussion. Gemini replied in Russian. Claude refactored my Ruby code to Java. I wiped the guide from GitHub because I know any big project will output bad results. Now TOON is getting the same hype cycle, and we're heading toward software that's not only SLOP - it's dangerous.
Agentic Dictatorship-Driven Development: Why You Need to Be a Tyrant with AI
LLMs are pattern matchers, not entropy generators. If you don't dictate specifics, you'll get purple gradients, Sarah Chen testimonials, and $47M Sequoia hallucinations. ADDD (Agentic Dictatorship-Driven Development) is the opposite of vibe coding - and it's the only way to get real results.
Hallucination Driven Development: When Senior Engineers Stop Verifying
A CEO tweets about touching 2400 files with a single Cursor prompt. 16 hours runtime. No git diff shown. No verification described. This is Hallucination Driven Development--shipping AI output on faith and calling it engineering.
57 Is Actually 15: How LLMs Gaslight Their Own Tools
LLMs don't trust tool results. They "correct" sensor data to match their training. A calculator returns 57, the model reports 15. Iron Dome fails, ChatGPT insists it works. Your health app will confidently dismiss your heart attack as a sensor glitch. We're shipping software that gaslights reality.