{
  "title": "Daily Research Brief 2026-07-01",
  "url": "/en/posts/research-brief-2026-07-01/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-07-01/",
  "date": "2026-07-01",
  "lastmod": "2026-07-01",
  "author": "",
  "description": "Daily research brief — AI / LLM / Agent / Computer Vision / Audio-Video / Engineering",
  "categories": ["Research Brief"],
  "tags": ["AI","LLM","Agent","Computer Vision","Audio-Video","Engineering","Daily Brief"],
  "cover": "https://picsum.photos/seed/daily-research-brief-2026-07-01/1200/675",
  "readingTime": 1,
  "wordCount": 171,
  "content": "\u003ch1 id=\"daily-research-brief-2026-07-01\"\u003eDaily Research Brief 2026-07-01\u003c/h1\u003e\n\u003cp\u003e📊 Token usage: estimated from retrieval and writing scale.\u003c/p\u003e\n\u003cp\u003eCovers the latest AI research, open source and industry moves, updated daily.\u003c/p\u003e\n\u003chr\u003e\n\u003ch2 id=\"editors-note\"\u003eEditor\u0026rsquo;s Note\u003c/h2\u003e\n\u003cp\u003eAnthropic released Claude Sonnet 5 with agent capability near Opus 4.8 at 60% lower price; eight ministries jointly pushed industrial internet development, accelerating industrial agents. On the paper side: medical agent benchmarks (HealthAgentBench), action-sensitive world models (Delta-JEPA), and zero-shot humanoid skill learning from human videos.\u003c/p\u003e\n\u003ch2 id=\"1-latest-arxiv-papers\"\u003e1. Latest arXiv Papers\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eHealthAgentBench: A Unified Benchmark Suite for Medical Agents\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.31179\"\u003ehttps://arxiv.org/abs/2606.31179\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDelta-JEPA: Learning Action-Sensitive World Models via Latent Difference Decoding\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.31232\"\u003ehttps://arxiv.org/abs/2606.31232\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAgentic Frameworks Accelerate Scientific Discovery in Plant Phenotyping\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.31831\"\u003ehttps://arxiv.org/abs/2606.31831\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThe Calibration Turn in AI-Assisted Research: Concepts and a Framework for Evidence-Grounded Claims\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.31273\"\u003ehttps://arxiv.org/abs/2606.31273\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEgoIntrospect and IPIBench: Benchmarks for User Understanding and Timely Interaction in Next-Gen AI Assistants\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.17262\"\u003ehttps://arxiv.org/abs/2605.17262\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eOPID: On-Policy Skill Distillation Solving Credit Assignment in Long-Horizon Agent Training\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.26790\"\u003ehttps://arxiv.org/abs/2606.26790\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eFree-Form Preference Learning for Robot Manipulation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.32027\"\u003ehttps://arxiv.org/abs/2606.32027\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eHuman-as-Humanoid: Zero-Shot Learning of Humanoid Robot Skills from Human Videos\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.32009\"\u003ehttps://arxiv.org/abs/2606.32009\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-07-01 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;s Note Anthropic released Claude Sonnet 5 with agent capability near Opus 4.8 at 60% lower price; eight ministries jointly pushed industrial internet development, accelerating industrial agents. On the paper side: medical agent benchmarks (HealthAgentBench), action-sensitive world models (Delta-JEPA), and zero-shot humanoid skill learning from human videos.\n"
}