We measure every token because every token costs real capability. On a 122-million-character multilingual evaluation set, Abugida scripts pay a structural penalty of 2.6–4.4× less effective context than English in frontier LLMs. Infrastructure debt, not a data problem. #AI #WWHO

We invite Engineers, Developers, Researchers, and anyone willing to contribute to this cultural shift for the good of all humanity to join forces with us. The project is fully open-source, and your contribution will help elevate human civilization to its next big stage. #WWHO

The fix is not “just add more vocabulary slots for Sinhala/Hindi or any Abugida script” It is separating linguistic rules from statistical compression — before the model ever sees the tokens. The architecture exists. We are building it at @Remeinium so every language finally gets the same first-class treatment English already enjoys. What’s the biggest multilingual bottleneck you’ve hit in practice? #AI #LLM #Tokenization #NLP #WWHO

We are working on this @Remeinium. The novel tokenization architecture called WWHO, we have developed will solve this issue effectively. We are exicted to launch it as soon as possible, and now it's at its final stage. Stay tuned for more updates. Happy #AI for all! #WWHO

We are preparing for the launch of SGPE, the next big tokenization architecture. We hope it will make LLMs more understandable for any language. ~ Remeinium Research #AI #research #NLP #LLM #tokenization #SGPE

Can you imagine a day when everyone codes in their native language? For the goal of AGI, we should train LLMs to respond to anyone in any language with the same quality and depth of knowledge. Current LLMs perform ~2.5–4× worse for non-English users. Why? Tokenizers. They consume the context window inefficiently for complex languages, resulting in 2–4× less content in responses. To solve this, we are working on an architecture called #SGPE. If it succeeds, we can reduce this token tax by 40–60%, allowing LLMs to use the context window far more efficiently, especially for abugida scripts. Then we can move toward a universal tokenizer that serves everyone equally. #LLM #Tokenization #token #tax #AI #NLP @Remeinium

SGPE (Syllable-aware Grapheme Pair Embedding) is coming and it will have a huge impact on tokenization. #AI #LLM #Tokenization

Silent is Over! #Codisor is coming before #AGI! We are excited to share that we are preparing to launch Remeinium Codisor to help every student/developer UNDERSTAND any codebase fast. Tired by Just-VibeCoding? Here you go to Understand the Unknown! 🧠 Happy UNDERSTANDING ✨