Subquadratic's SubQ Matched Claude's Accuracy at 300x Lower Cost 🚀

Every AI model you use runs on transformers, and transformers have a fatal flaw. Double the input → compute jumps 4x. That's why models max out around 1M tokens. It's also why we need RAG, chunking & retrieval pipelines. The entire industry is built on workarounds. 2 ways to use it: 🔧 SubQ API — Full-context access for devs & enterprise. One API call, linear cost. 💻 SubQ Code — CLI coding agent that loads your entire codebase into one context window. ⚠️ Access is currently by request only. 🔔 Follow Analytics Vidhya for more AI & Data Science updates 👇 Would you switch from RAG to full-context? Drop your take below! #SubQAI #SubquadraticAI #AIModels2026 #Transformers #LinearScaling #AICostReduction #AgenticAI #LLMContext #RAGAlternative #GenerativeAI #AITools2026 #DataScience #MachineLearning #AIForDevelopers #CodingAI