LLMs Learn Better by Analogies and Metaphors
Exploring how analogies and metaphors enhance the learning process of Large Language Models.
Posts tagged "AI"
The Template Tragedy: Month One on Habitat-10
Grep Monads thinks he's helping by giving everyone templates, cheat sheets, and quick references. When a pressure leak demands emergency EVA repair, Amyas brings pure welding oxygen for the suit. 'Your template says O = Oxygen.' Mars doesn't negotiate with pattern matching.
The Deputy Woods Deflection: Month One on Habitat-10
Deputy Woods laments the abandoned ZeroDrink dispenser built by Zero Xi before he transferred to Golang Habitat. 'Someone should maintain it,' Woods insists, while refusing to adopt it himself. When the dispenser breaks during a dehydration emergency, Woods brags about his 'tens of thousands of lines of memory-safe Rust.' MadBomber has technical questions about Rc<T> and RefCell<T>. Mars doesn't care about vanity metrics.
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.