{
  "title": "Daily Research Brief 2026-05-14",
  "url": "/en/posts/research-brief-2026-05-14/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-05-14/",
  "date": "2026-05-14",
  "lastmod": "2026-05-14",
  "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-2026-05-14/1200/675",
  "readingTime": 1,
  "wordCount": 139,
  "content": "\u003ch1 id=\"daily-research-brief-2026-05-14\"\u003eDaily Research Brief 2026-05-14\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\u003eNeedle distilled Gemini tool-calling into a 26M-parameter model; the first AI-generated zero-day was found in the wild, bypassing 2FA; OpenAI poured $4B into a deployment company; DeepSeek\u0026rsquo;s ¥50B round neared close with Alibaba and Tencent each contributing ~¥10B.\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\u003eHuman-Inspired Memory Architecture for LLM Agents\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.08538\"\u003ehttps://arxiv.org/abs/2605.08538\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eGood Agentic Friends Do Not Just Give Verbal Advice\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.13839\"\u003ehttps://arxiv.org/abs/2605.13839\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNeural QAOA²: Differentiable Joint Graph Partitioning\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.13072\"\u003ehttps://arxiv.org/abs/2605.13072\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eQuantifying LLM Safety Degradation Under Repeated Adversarial Use\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.12869\"\u003ehttps://arxiv.org/abs/2605.12869\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDreamLite: A 0.39B Parameter Lightweight Unified Model\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2603.28713\"\u003ehttps://arxiv.org/abs/2603.28713\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePV-VAE: Predictive Video Variational Autoencoder\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.02134\"\u003ehttps://arxiv.org/abs/2605.02134\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTBA: Decoupling Reinforcement Learning Training from Inference\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2503.18929\"\u003ehttps://arxiv.org/abs/2503.18929\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eContinuous-Time Distribution Matching for Few-Shot Learning\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.06376\"\u003ehttps://arxiv.org/abs/2605.06376\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-05-14 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;s Note Needle distilled Gemini tool-calling into a 26M-parameter model; the first AI-generated zero-day was found in the wild, bypassing 2FA; OpenAI poured $4B into a deployment company; DeepSeek\u0026rsquo;s ¥50B round neared close with Alibaba and Tencent each contributing ~¥10B.\n1. Latest arXiv Papers Human-Inspired Memory Architecture for LLM Agents — https://arxiv.org/abs/2605.08538\n"
}