TOON vs JSON The Future of AI Data Exchange 50% Fewer Tokens Part 1 скачать в хорошем качестве

TOON vs JSON The Future of AI Data Exchange 50% Fewer Tokens Part 1

JSON has dominated the world of APIs for over 20 years. But with the rise of AI and LLMs, a brand-new format called TOON promises faster, cheaper, and more token-efficient data exchange. In this video, we explore what TOON is, why it's trending, how it works, and how you can use it today in JavaScript, TypeScript, and Python. 🚀 Why Is TOON Important Now? LLMs like GPT, Gemini, and Claude charge per token — input + output. That means: More tokens = more cost More tokens = slower responses More tokens = less efficient prompts If you're sending hundreds or thousands of structured items in JSON, you are wasting a LOT of tokens. TOON fixes this by using a simple, tabular, LLM-friendly structure. Key advantages: ✨ Up to 50% fewer tokens ✨ Easier for LLMs to reason about ✨ Better for uniform or table-like data ✨ Works in Python, JS, Go, Rust, and more ⚠️ JSON Is STILL Better In Many Cases TOON is not a replacement for JSON. JSON remains better when: ✔ Data is deeply nested ✔ Objects vary in structure ✔ You need strict schema validation ✔ You're building regular web APIs Best approach: 👉 Use JSON for apps 👉 Use TOON when talking to LLMs 🔮 The Future of TOON TOON is getting attention fast — especially in: LLM training pipelines AI agent communication Serverless AI APIs Tools like MCP and automation engines Just like JSON became the standard for web data… TOON might become the standard for AI data exchange.