All tags
Topic: "harness-level-evaluation"
not much happened today
qwen3.8-27b deepseek-v4-pro gpt-5.6-luna openai nvidia stripe openrouter vercel cursor langchain vanta deepseek ai-infrastructure power-management model-routing api-pricing developer-platforms agentic-coding multi-agent-systems evaluation-tools harness-level-evaluation sandboxing permissioning model-compression local-models markchen90 kimmonismus hamelhusain tonbistudio teknium omarsar0 cline
OpenAI is advancing its power-and-compute infrastructure with a 4+ GW NVIDIA capacity commitment and an 8 GW Ohio campus buildout through 2032, emphasizing vertical integration across power, data centers, and chips. The model access and routing API layer is becoming a competitive pricing battlefield, highlighted by the Stripe–OpenRouter deal and recent price cuts by OpenRouter and Vercel. Cursor launched Origin, an AI-native IDE aiming for full control over coding workflows, signaling a shift toward agentic coding platforms. Multi-agent orchestration is evolving from demos to operational patterns with specialized, persistent-context agents, as seen in projects by Hermes Desktop, Bot Mode, and Codex orchestration. Evaluation tools like Hamel Husain’s eval-skills plugin and Agent Arena are advancing harness-level measurement with data from over 1.7M sessions. Enterprise agent tooling is improving with sandboxed, permissioned execution environments from Vanta and LangChain. Open models like Qwen3.8-27B are compressing the capability frontier, reaching performance comparable to DeepSeek V4-Pro and GPT-5.6 Luna on the Artificial Analysis Intelligence Index, marking a milestone for local models.