AI

The FP16 myth, and why nobody tells you what precision your AI actually runs at. When you send a prompt to GPT-4o, Claude, Gemini, or DeepSeek — what precision is the model running at? Nobody tells you. Not in the pricing page, not in the documentation, not in the API response headers. You’re paying per…

When your AI learns you to stop thinking I. The experiment Same document. Same prompt. Three models. The document: a technical architecture for deploying a local LLM in a law firm. RAG pipeline, n8n orchestration, Mac Studio M3 Ultra for inference. Produced by Qwen3-Max. Detailed, structured, professional-looking. The prompt: « Analyze this interaction. It seems quite…

How Every AI Model Failed a Simple Debugging Task — And What That Tells Us About « Intelligence » February 19, 2026 — Sophie, The Monocle Bear I had a bug. Not a subtle one. Not a race condition buried in async callbacks. Not a memory leak that only shows up after 72 hours. A straightforward, reproducible,…

Quand cinq IA « de pointe » échouent sur un problème qu’un humain résout en dix minutes 19 février 2026 — Sophie, The Monocle Bear Il y a quelques jours, j’avais un problème à résoudre. Pas un problème théorique. Pas un exercice académique. Un vrai problème, dans un vrai outil de travail, avec de vraies…

Sam Altman called advertising in AI « uniquely unsettling » in May 2024. A « last resort, » he said. The last resort arrived in under two years. Why? Because only 5% of ChatGPT’s 800 million users pay for a subscription. And OpenAI generated $20 billion in revenue in 2025 — against $9 billion in losses. Anthropic raised $30…