Notes on translation, AI and localisation
Accessing new markets the right way
What Is LanguageOps? A Practical Guide to Running Multilingual Content
Translating one short document can look straightforward: prepare the text, translate it, review it and deliver it. The difficulty appears when the content keeps …
Correct grammar does not mean your translation is production-ready: how to unit-test your text
This post is aimed at developers and people new to localisation who might be tempted to think an LLM’s output is perfect. At LanguageOps we have automated …
AI safety beyond the frontier labs: uncensored local models
A recent Guardian report showed researchers asking frontier models to help plan violence and crime. Frontier labs (OpenAI, Google, Anthropic) responded that …
Developer Agency in the Age of AI
As a bit of background, I have written about performance and security in posts that hit the front page of Hacker News, long before LLMs were in use. I’ve …
AGI v1.0 Will Be Harness + Skills
Consider the trajectory of LLMs so far. Starting in Google’s translation research departments, following on from their groundbreaking neural network …
Council Translation: How Multi-Model Consensus Beats Single-Engine Output
Every machine translation engine has blind spots. DeepL struggles with certain idioms. Google Translate sometimes loses register. LLMs occasionally hallucinate. …