Elizabeth
183.2K posts
@ElizabethhQuinn
AI & Tech Educator | Sharing Daily insights on AI, Technology, Productivity hacks, and trends for entrepreneurs and creators | Open to collaborations via DM 📩
My mind is officially BLOWN. @AntLingAGI just open sourced Ling-2.6-1T, and if you thought efficiency couldn't be intelligent, think again! This 1T beast is all about MAX useful intelligence per token. Get ready for results, not just talk! 👇
We just raised $23M Series A from Halberd Ventures to help brands rank #1 in every AI Answer. Introducing CrowdReply 2.0 The first platform that tracks every AI answer mentioning your brand and shows you exactly how to win them. RT + comment "RANK" and we'll give you a free month of CrowdReply 👊
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
🚀 Today, we are launching Ling-2.6-1T, a trillion-parameter flagship model designed for precise instruct task execution. By prioritizing a "Fast-Thinking" mechanism, it delivers SOTA intelligence with ultra-low token overhead, making token efficiency a first-class citizen.
HappyHorse 1.0 is live on WayinVideo 🐎 The #1 text-to-video model on Artificial Analysis. Generate cinematic videos from a single prompt — extend scenes, add new shots, and refine every cut. Free credits to get started. 65% off Pro Plan. #WayinVideo
Introducing Maverick #1 Max "Pain" Griffin, UFC fighter - started using Mave headset 100 days ago - for stress regulation and performance Brain score: 71 (day 0) -> 83.4 (day 30) Grab your headset: mavehealth.com
Ling-2.6-flash is now officially open-sourced! A fast, token-efficient Instruct model built for real-world agent workflows. 104B total parameters · 7.4B active parameters Available in BF16, FP8, and INT4 variants for different deployment needs. Key strengths: - Fast generation: 215 tokens/s on Artificial Analysis Output Speed - High token efficiency: only 15M tokens on the full AA Intelligence Index evaluation - Real task execution: strong performance across coding, document processing, and lightweight agent workflows - Improved experience: better Chinese-English switching and smoother compatibility with mainstream coding frameworks
