# Babylon - Language Technology Newsletter

> AI, Language Technology and the Future of Content

This file provides information about Babylon - Language Technology Newsletter to help large language models understand and reference this publication's content.

## Posts
- [Babylon Newsletter, Issue #19](https://www.babylon-newsletter.com/p/issue-19): A deep dive into Wikipedia, the biggest translation project in the world
- [Babylon Newsletter, Issue #18](https://www.babylon-newsletter.com/p/issue-18): The adoption curve for most technologies says 16 percent will never be convinced. Stop building your AI project around them.
- [Babylon Newsletter, Issue #17](https://www.babylon-newsletter.com/p/issue-17): Wikipedia is running dry: The encyclopedia that trained AI might be dying of it.
- [Babylon Newsletter, Issue #16](https://www.babylon-newsletter.com/p/babylon-newsletter-issue-16): To understand whether AI helps, measure everything, not just the tech part.
- [Interview: David Caswell](https://www.babylon-newsletter.com/p/interview-david-caswell): How to get started using AI for content or language projects - an expert's view
- [Babylon Newsletter, Issue #15](https://www.babylon-newsletter.com/p/babylon-newsletter-issue-15): What is the best way to label how much AI is in published information?
- [Babylon Newsletter, Issue #14](https://www.babylon-newsletter.com/p/babylon-newsletter-issue-14): What industry experts discussed at LocWorld. A scenario if Europe does not innovate. And: A powerful model, switched off after three days. 
- [Babylon Newsletter, Issue #13](https://www.babylon-newsletter.com/p/issue-13): Could AI evolve into a new and ultimately better news & information system for humans on this planet? 
- [Babylon Newsletter, Issue #12](https://www.babylon-newsletter.com/p/issue-12): Total reach is falling for many publishers. The connection to real readers can get deeper at the same time.
- [Babylon Newsletter, Issue #11](https://www.babylon-newsletter.com/p/issue-11): The goal: To make AI understand more languages really well. Why is that difficult?
- [Babylon Newsletter, Issue #10](https://www.babylon-newsletter.com/p/babylon-newsletter-issue-10): When publishers block the Wayback Machine to defend against AI, the cost falls on the wrong party.
- [Babylon Newsletter, Issue #9](https://www.babylon-newsletter.com/p/babylon-newsletter-issue-9): What if AI becomes a booster for future forms of local journalism? 
- [Babylon Newsletter, Issue #8](https://www.babylon-newsletter.com/p/issue-8): The AI race is very open. No clear winner yet. So, how can you (your team, your company) avoid early lock-in? Some data points and suggestions below.
- [Babylon Newsletter, Issue #7](https://www.babylon-newsletter.com/p/issue-7): Content summary: Live speech translation shipped on three platforms. A longer piece about Miso.ai and why high-quality information might open a future market for publishers. A memorable quote from David Caswell. And, briefly: why dual-format publishing is easier said than done. 
- [Babylon Newsletter, Issue #6](https://www.babylon-newsletter.com/p/issue-6): This week: what social media is doing to democracy, two newsrooms replacing the static article, and four sessions from Perugia worth watching. 
- [Babylon Newsletter, Issue #5](https://www.babylon-newsletter.com/p/issue-5): AI companies are building empires on content they did not pay for. This week: RSL, the licensing standard trying to change that. Plus Meta's ad-driven AI for 3.6 billion users, Microsoft's new voice stack, ElevenLabs goes on-premise, call centers under pressure, and a new word: Tokenmaxxing.
- [Babylon Newsletter, Issue #4](https://www.babylon-newsletter.com/p/babylon-newsletter-issue-4): Key topic this week: The language your organisation works in is not neutral infrastructure. It is a variable that determines what you pay, what quality you receive in transcripts and translations, and which cultural assumptions are active inside every model you deploy. This issue of the Babylon newsletter provides deeper insights and statistics where that imbalance comes from — and the legal, technical, and political responses now taking shape around it.
- [Babylon Newsletter, Issue #3](https://www.babylon-newsletter.com/p/babylon-newsletter): Content summary: AI is causing language damage in Norway • Overview of subtitling rules in the UK • Dutch paper argues that media is critical infrastructure • Google Research: New compression algorithm to reduce LLM memory requirements 
- [Babylon Newsletter, Issue #2](https://www.babylon-newsletter.com/p/issue-2): This week: AI is reading everything and paying for nothing. Two very different proposals want to change that. Plus: A quick briefing on RSL (Really Simple Licensing) and how it works. 
- [Babylon Newsletter, Issue #1](https://www.babylon-newsletter.com/p/issue-1): Exploring the evolution of AI language technologies and the future of content.What are new developments? What works?

## Pages
- [](https://www.babylon-newsletter.com/)
- [archive](https://www.babylon-newsletter.com/archive)

## Authors
- [Mirko Lorenz](https://www.babylon-newsletter.com/authors/mirko-lorenz)

## Categories
- [Publishing](https://www.babylon-newsletter.com/t/Publishing)
- [Transcription](https://www.babylon-newsletter.com/t/Transcription)
- [Voice-Over](https://www.babylon-newsletter.com/t/Voice-Over)
- [Translation](https://www.babylon-newsletter.com/t/Translation)
- [Audio](https://www.babylon-newsletter.com/t/Audio)
- [Liquid content](https://www.babylon-newsletter.com/t/Liquid content)
- [Strategy](https://www.babylon-newsletter.com/t/Strategy)
- [Content Adaptation](https://www.babylon-newsletter.com/t/Content Adaptation)
- [Local Journalism](https://www.babylon-newsletter.com/t/Local Journalism)
- [Localization](https://www.babylon-newsletter.com/t/Localization)
- [Subtitling](https://www.babylon-newsletter.com/t/Subtitling)
- [Writing](https://www.babylon-newsletter.com/t/Writing)
- [AI](https://www.babylon-newsletter.com/t/AI)
- [Content creation](https://www.babylon-newsletter.com/t/Content creation)