Kimi K2.5 is the king of open source AI models скачать в хорошем качестве

Kimi K2.5 is the king of open source AI models

In this video, we take a deep dive into Kimi K2.5, the latest and most powerful open-source AI model released to date. Get Arcade Here ➡️https://dub.sh/6OA3jjS Get Kimi K2.5 Here ➡️https://dub.sh/RVah6R7 Built on the foundation of Kimi K2, this upgraded model introduces continued pre-training across approximately 15 trillion mixed visual and text tokens, delivering exceptional performance in coding, agent workflows, multimodal understanding, and automation. Kimi K2.5 uses a Mixture-of-Experts (MoE) architecture with a massive 1 trillion total parameters and 32 billion activated parameters, making it capable of delivering enterprise-level AI intelligence while still being deployable on high-end consumer hardware. This release is pushing the boundaries of what open-source AI can achieve, offering strong competition against premium closed models at a significantly lower cost. One of the standout features of Kimi K2.5 is its ability to orchestrate Agent Swarms, allowing up to 100 sub-agents to execute parallel workflows with up to 1,500 tool calls, dramatically reducing execution time and improving efficiency. The video also explores Kimi’s new operational modes including Instant, Thinking, Agent, and Agent Swarm preview modes. ⏰ TIMESTAMPS: 00:00 – Introduction to Kimi K2.5 01:05 – Model Architecture & Training Overview 02:20 – Mixture of Experts & Parameter Breakdown 03:35 – Running Kimi K2.5 on Consumer Hardware 04:30 – Agent Swarm & Parallel Workflow Capabilities 05:40 – New Kimi Interface & Model Modes Explained 06:55 – Benchmark Performance vs Top AI Models 08:10 – Pricing Comparison & Accessibility Impact 09:05 – Vision Understanding & Video Reference Testing 10:30 – Website Cloning Demonstration 11:55 – Kimi Code CLI & IDE Integration Overview 13:05 – Agent Harness Real-World Testing 14:05 – Final Thoughts & Model Impressions 🚀 Try ArcadeMCP: https://account.arcade.dev/register?u... Looking for the fastest way to build MCP servers? Check out: https://docs.arcade.dev/en/home/custo... #AIAgents #MachineLearning #LLMTools #AIEngineering #MCP #ToolCalling #AIAutomation #AgenticAI #ArcadeDev 🔗 Resources: Arcade.dev: https://www.arcade.dev/?utm_source=yo... Tool Calling in Arcade: https://docs.arcade.dev/home/use-tool...