Rise and shine, early bird! ☀️ Wishing you a beautiful morning.
Rise and shine, early bird! ☀️ Wishing you a beautiful morning.
Deep analysis of languages: Arabic in all its dialects (Fusha, Levantine, Egyptian, Gulf, Moroccan), other languages, semantics, cultural translation, and language evolution. Content for language enthusiasts, specialists, and translators.
You chat before sleep, and drift off. You open the conversation two days later — Grok continues as though it went to sleep with you. At least Facebook used to ask you every morning what you were thinking. That small irritation drove every major AI company into the memory race — but what began as a solution to your frustration became a mechanism for retaining you.
I’m from Damascus and I lead a team training AI models for the Gulf Arabic market. There’s no hypocrisy in this — it’s the market. And the market is what decides which dialect the machine learns and which it forgets. The third article in “The Machine’s Language” examines Arabic as twenty languages inside one — and asks: who is responsible for the bias?
AI doesn’t just speak “English” — it speaks a very specific kind. A Berkeley study reveals a 60%+ bias toward Standard American English, and a Nature paper shows that dialect discrimination extends to decisions about jobs, credibility, and punishment. Then: does AI know the difference between Kuwaiti and Yemeni Arabic?
When I wrote to it in Arabic, where did my words go? A question that started with an ordinary conversation leads into a genuine philosophical debate about language, identity, and what it means for a machine to understand — or not. Is English the hidden mother tongue of every AI in the world?
