{
  "title": "Daily Research Brief 2026-05-02",
  "url": "/en/posts/research-brief-2026-05-02/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-05-02/",
  "date": "2026-05-02",
  "lastmod": "2026-05-02",
  "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-2026-05-02/1200/675",
  "readingTime": 1,
  "wordCount": 132,
  "content": "\u003ch1 id=\"daily-research-brief-2026-05-02\"\u003eDaily Research Brief 2026-05-02\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\u003eVera: a new programming language designed for LLM-generated code; OpenAI opened ad-attribution to free ChatGPT users; the Lambda Calculus benchmark shows LLM pure-code ability nearing humans; McKinsey: leading firms get $3 back per $1 of AI investment.\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\u003eAI Awareness\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eRethinking Generalization in Reasoning SFT: A Controlled Study\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.06628\"\u003ehttps://arxiv.org/abs/2604.06628\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eHelios: Real Real-Time Long Video Generation Model\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2603.04379\"\u003ehttps://arxiv.org/abs/2603.04379\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eOneSug: The Unified End-to-End Generative Framework for Contextual Recommendation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2506.06913\"\u003ehttps://arxiv.org/abs/2506.06913\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCRAFT: Clustered Regression for Adaptive Filtering of Time Series\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.22693\"\u003ehttps://arxiv.org/abs/2604.22693\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eReconstruction by Generation: 3D Multi-Object Scene Completion\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.27106\"\u003ehttps://arxiv.org/abs/2604.27106\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCost-Aware Learning\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.28020\"\u003ehttps://arxiv.org/abs/2604.28020\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDistributional Alignment Games for Answer-Level Alignment\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.27166\"\u003ehttps://arxiv.org/abs/2604.27166\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-05-02 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;s Note Vera: a new programming language designed for LLM-generated code; OpenAI opened ad-attribution to free ChatGPT users; the Lambda Calculus benchmark shows LLM pure-code ability nearing humans; McKinsey: leading firms get $3 back per $1 of AI investment.\n1. Latest arXiv Papers AI Awareness\n"
}