All tags
Topic: "adaptive-tool-use"
Anthropic launches the MCP Apps open spec, in Claude.ai
claude-ai toolorchestra-8b qwen3-max-thinking anthropic openai block vs-code antigravity jetbrains aws nvidia alibaba claude-ai agent-orchestration reinforcement-learning recursive-language-models context-management user-experience security prompt-injection reasoning adaptive-tool-use model-evaluation benchmarking
Anthropic has officially absorbed the independent MCP UI project and, collaborating with OpenAI, Block, VS Code, Antigravity, JetBrains, and AWS, released the MCP Apps spec and official support in Claude.ai. This standard aims to enable a rich ecosystem of interoperable applications with rich UI, addressing the proliferation of subscription services. Meanwhile, NVIDIA introduced ToolOrchestra with an 8B orchestrator model trained via scalable reinforcement learning for efficient agent orchestration. The concept of Recursive Language Models (RLMs) is gaining traction for efficient context management in agent stacks. The “Clawdbot” UX pattern emphasizes outcome-first assistant design with tight context and tool integration, sparking security concerns around prompt injection. Alibaba launched Qwen3-Max-Thinking, a flagship reasoning and agent model with adaptive tool use and strong benchmark scores, now available in public evaluation platforms like LM Arena and Yupp.