KlingAI 3.0 is a new AI video model that can turn text or images into smooth, realistic short videos Motion feels natural, scenes stay consistent, and it can even handle multiple shots in one prompt What makes it impressive is how stable everything looks — fewer glitches, better camera movement, and more control over how scenes play out Right now, access to KlingAI 3.0 video is available through Higgsfield, making it one of the easiest ways to test this next-gen video tech early AI video is moving fast 👀 Check it out - https://higgsfield.ai/

GLM-4.7: The Open-Source Coding Model That's Challenging GPT-5.1 and Claude The AI landscape just got more interesting. On December 22, 2025, Z.ai (formerly Zhipu AI) released GLM-4.7—and it's not just another incremental update. This open-source model is genuinely competing with the proprietary giants at a fraction of the cost. Amazing tool i tested during christmas period . MIND BLOWING Here's what makes GLM-4.7 worth your attention: Built for Real Development, Not Just Chat Unlike models optimized for chat demos, GLM-4.7 was designed for agentic coding workflows—long, multi-step tasks where consistency matters. It natively integrates with tools like Claude Code, Cline, Roo Code, and Kilo Code. The secret weapon? A triple thinking system: - Interleaved Thinking: Reasons before every response and tool call - Preserved Thinking: Retains reasoning across multi-turn conversations (no more "forgetting" what it just decided) - Turn-level Thinking: Toggle reasoning on/off per request—fast when you need speed, deep when complexity demands it BENCHMARK SEE IN THE ATTCHMENT !!!!! 🎨 "Vibe Coding": Better Frontend Output Here's something benchmarks don't capture: GLM-4.7 generates cleaner, more modern UI code. - Better HTML/CSS layouts - Proper spacing and typography - High-contrast dark modes that actually look professional - Slides and posters with consistent aesthetics If you've ever gotten "technically valid but ugly" code from AI, GLM-4.7 addresses that pain point directly. 🔓 Why Open-Source Matters With 355B total parameters (32B active via MoE architecture), GLM-4.7 offers: - Full transparency: Weights available on HuggingFace and ModelScope - Self-hosting: Deploy in air-gapped environments for regulated industries - Fine-tuning: Customize on proprietary datasets - No vendor lock-in: MIT licensed - 200K context window with 128K max output 🤔 When to Choose GLM-4.7 Choose GLM-4.7 when: - Cost-efficiency is critical - You need strong tool-use and agentic workflows - You want open-source flexibility and customization - Building AI coding assistants or IDE plugins - Running long, multi-turn coding sessions