Raya
45 posts
@raya_coder
Learning AI one model at a time 🧠 Passionate about solving problems with technology Future belongs to those who build it 🚀
Last week, we introduced Ling-2.6-1T. Today, Ling-2.6-1T is officially an open model~ 🤗 1T total parameters · 63B active parameters We bring values to developers by making it easier to test, deploy, customize, and build. It is optimized to be "token efficiency" for real production needs: • Lower token overhead: strong intelligence without long reasoning traces • Reliable multi-step execution: better instruction, tool, context, and workflow control • Production-ready deployment: from code generation to bug fixing, with broad agent framework compatibility A sneak pick into the agentic capability in @opencode
Introducing Anijam AI — the first AI Animation Agent on your phone. Your story idea should not die before you open professional software. Just tell Anijam your idea. It does the rest. Available now on iOS & browser.
Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.
Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.
Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.
Introducing Anijam AI — the first AI Animation Agent on your phone. Your story idea should not die before you open professional software. Just tell Anijam your idea. It does the rest. Available now on iOS & browser.
This is a real-time demo showcasing avatars + function calling. Avatars can fill out forms, schedule meetings, and much more. The future website has two interfaces: 1. The traditional UI to convey information. 2. An AI agent with a face that users can talk to Give your AI agents a face using LemonSlice - a 24/7 spokesperson that your users trust Demo and open source links below. Made by @designbybryce 👇️
