{
  "title": "Daily Research Brief 2026-05-31",
  "url": "/en/posts/research-brief-2026-05-31/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-05-31/",
  "date": "2026-05-31",
  "lastmod": "2026-05-31",
  "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-2026-05-31/1200/675",
  "readingTime": 1,
  "wordCount": 190,
  "content": "\u003ch1 id=\"daily-research-brief-2026-05-31\"\u003eDaily Research Brief 2026-05-31\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 hit a $965B valuation, overtaking OpenAI, with Claude Opus 4.8; OpenAI retired o3 and GPT-4.5 to push GPT-5.6; Google I/O 2026 made Gemini 3.5 Flash free; Xiaomi cut MiMo-V2-Flash API prices up to 99%; six ministries pushed \u0026lsquo;AI + e-commerce\u0026rsquo;. On the paper side: SIA self-improving AI, Qwen-VLA unified VLA modeling, and \u0026lsquo;Do Language Models Need Sleep?\u0026rsquo;.\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\u003eSIA: Self-Improving AI with Harness \u0026amp; Weight Updates\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.27276\"\u003ehttps://arxiv.org/abs/2605.27276\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eQwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.30280\"\u003ehttps://arxiv.org/abs/2605.30280\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSelf-Improving Language Models with Bidirectional Evolution\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.28814\"\u003ehttps://arxiv.org/abs/2605.28814\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eForgetting in Language Models: Capacity, Optimization, and Generalization\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.26097\"\u003ehttps://arxiv.org/abs/2605.26097\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDo Language Models Need Sleep? Offline Recurrence for Improved Reasoning\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.26099\"\u003ehttps://arxiv.org/abs/2605.26099\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMIRA: Medical Time-series Foundation Model with 454B Tokens\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2506.07584\"\u003ehttps://arxiv.org/abs/2506.07584\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eK-Dense Analyst: Hierarchical Multi-Agent Architecture for Financial Analysis\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2508.07043\"\u003ehttps://arxiv.org/abs/2508.07043\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCellTransformer: A Deep Learning Model for High-Resolution Cellular Imaging\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSkillEvolver: Meta-Skill Driven Framework for Autonomous Skill Evolution\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.29147\"\u003ehttps://arxiv.org/abs/2605.29147\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEmbodiSkill: A Skill Representation Framework for Embodied Agents\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.29148\"\u003ehttps://arxiv.org/abs/2605.29148\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-05-31 📊 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 hit a $965B valuation, overtaking OpenAI, with Claude Opus 4.8; OpenAI retired o3 and GPT-4.5 to push GPT-5.6; Google I/O 2026 made Gemini 3.5 Flash free; Xiaomi cut MiMo-V2-Flash API prices up to 99%; six ministries pushed \u0026lsquo;AI + e-commerce\u0026rsquo;. On the paper side: SIA self-improving AI, Qwen-VLA unified VLA modeling, and \u0026lsquo;Do Language Models Need Sleep?\u0026rsquo;.\n"
}