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2026-07-14
日期、来源、摘要、可信度和合规说明均来自通过完整审核门禁与哈希校验的每日公开快照；周报发布后由同期完整发布包接管。
Exa MCP search metadata: The real AI race may no longer be at the frontier | TechCrunch. 7:24 AM PDT · July 14, 2026 For several weeks this summer, the AI industry was fixated on Anthropic’s latest frontier models and Washington’s fight to control who was granted access to them. But while everyone was watching the frontier, developers kept building — and they weren’t waiting around for permission from the Anthropics and OpenAIs of the world. Chinese open-weight models accounted for 41% of downloads on Hugging Face this spring, surpassing U.S. models. On OpenRouter, the top six most popular models are all open models from Chinese firms, including Tencent, Xiaomi, DeepSeek, MiniMax, and Z.ai.... 来源：Exa MCP。Exa MCP public search metadata via the Agent Reach documented route; no cookies, login state, or full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据：How data science teams use ChatGPT Work。Watch the on-demand webinar Watch the on-demand webinar Top ChatGPT Work use cases for data science teams Watch the on-demand webinar Top ChatGPT Work use cases for data science teams With ChatGPT Work, data science teams can turn scattered inputs into usable analysis assets faster. Starting from dashboards, metric definitions, exports, experiment notes, and business context, ChatGPT Work helps assemble a first draft of the deliverable—including charts, caveats, source links, and review questions—so teams can validate the work and share it with confidence. Watch the on-demand webinar Watch How finance teams use Codex on-demand here (opens ... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据：MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation。Multi-reference-to-audio-video (MR2AV) generation aims to generate coherent audio-video content conditioned on multiple references and textual instructions. Existing benchmarks mainly focus on text-driven generation, single-reference subject preservation, or isolated audio-video alignment, leaving the emerging MR2AV setting largely unexplored. Compared with these settings, MR2AV requires models to jointly reason over multiple references while generating synchronized visual and audio content. Models must not only preserve each reference faithfully but also correctly bind and compose mult... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据：Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations。On-policy distillation (OPD) has become a key paradigm in LLM post-training, yet its training dynamics remain poorly understood. We present a systematic study examining the role, pathologies, and regulations of OPD. We first clarify the role of OPD as an exploration catalyst: it steers the student toward correct reasoning paths via dense token-level guidance, without expanding capability ceiling. We confirm this by showing that prompt diversity matters more than per-problem sampling numbers, and critically, that the effectiveness of OPD hinges entirely on the quality of its guiding signal. This dependency exp... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据：How to manage AI investments in the agentic era。1. Sharpen visibility into usage and spend 1. Sharpen visibility into usage and spend 2. Evaluate model efficiency by outcome ROI 3. Govern advanced workflows before they scale 4. Fund workflows that can compound 5. Match capacity to proven demand 1. Sharpen visibility into usage and spend 2. Evaluate model efficiency by outcome ROI 3. Govern advanced workflows before they scale 4. Fund workflows that can compound 5. Match capacity to proven demand OpenAI’s goal is to make AI more accessible, capable and affordable over time. From GPT‑4 to GPT‑5.4, the price per million tokens fell 97%. GPT‑5.6 continues that progress, delivering b... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据：Rethinking the Evaluation of Harness Evolution for Agents。We revisit the evaluation of automatic harness evolution for LLM agents. Existing harness evolution methods use unit test cases to search for harness configurations and then report final performance on the same public benchmark. This protocol raises two fundamental concerns. First, harness evolution is itself an iterative search procedure that repeatedly evaluates and revises candidate harnesses using task feedback. As in agentic test-time scaling, it should therefore be compared with simple task-level search baselines under matched feedback and inference budgets to determine whether its gains arise from improved harness de... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据：Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving。Validating autonomous driving systems requires diverse, regulation-compliant test scenarios. In simulation-based testing, scenarios are defined as executable scripts. Yet automatically generating such scripts from regulatory descriptions remains an open challenge, and existing approaches face fundamental trade-offs. Retrieval-assemble methods achieve reasonable compilation rates but lack scalability, whereas retrieval-based full-script generation suffers from low compilation success rates. We present Chat2Scenic, the first iterative retrieval-augmented framework to generate scenario scripts... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据：Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes。Human cognition does not separate understanding and generation. A teacher at a whiteboard speaks and draws together, each modality reshapes the other. In this paper, we bring this coupled loop to artificial systems. Masked Diffusion Models (MDMs) are ideally suited to this task, yet existing samplers either decode text and image interleavedly or independently update them in parallel branches that share only previous-step history, but not the other modality's latest decisions within the same step; combined with MDMs' inability to remask, cross-modal contradictions are neither detected nor r... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据：UniVR: Thinking in Visual Space for Unified Visual Reasoning。Learning broad world knowledge directly from raw visual data is a fundamental capability of intelligence. We introduce UniVR, the first investigation into simultaneously learning complex reasoning, fine-grained physical dynamics, and long-term planning from pure visual demonstrations. At its core, UniVR features VR-GRPO, a reinforcement learning paradigm with complementary global and step-level rewards. This approach enforces logical coherence and physical consistency throughout the reasoning process without requiring task-specific heuristics or image-text pairs. To train and evaluate UniVR, we construct VR-X, a large-sc... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据：Anthropic commits $10 million to Canadian AI research。Le français suit. Canadian institutions and researchers have played a critical role in the modern AI era. During a period of broad skepticism about research into neural networks, the University of Toronto and the Université de Montréal were two of only a handful of institutions that incubated this crucial line of work, while researchers at the University of Alberta did pioneering work on reinforcement learning. And in the early 2010s, Canadian research institutions led the way in demonstrating that with the arrival of powerful new computing resources—in particular, general-purpose GPUs—deep neural networks could succeed at scal... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据：Introducing Claude for Teachers。We're introducing Claude for Teachers, providing verified K-12 educators in the US free access to premium Claude capabilities, a library of teaching skills, and a direct connection to evidence-based curricula, mapped to academic standards in all 50 states. Why we’re building for teachers Decades of research show that practices like differentiation, mastery-based learning, and small group instruction reliably improve student achievement, but teachers are often short on time and resources to implement them. Budgets are stretched, classes may be too large to meet every student's individual needs, and planning often spills into evenings. This strain is ... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据：KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation。Video generation increasingly relies on keyframe-based workflows, where creators specify a sequence of reference images to guide generation. Although recent models support multi-keyframe conditioning, it remains unclear whether they can faithfully reproduce the prescribed keyframes while maintaining overall video quality. We present KeyFrame-Compass, the first comprehensive benchmark for evaluating keyframe-conditioned video generation. The benchmark contains 386 carefully curated samples spanning three application domains, two video structures, two prompt granularities, two conditioning fo... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据：How sales teams use ChatGPT Work。Watch the on-demand webinar Watch the on-demand webinar Install the sales plugin for ChatGPT Work Top ChatGPT Work use cases for sales teams Watch the on-demand webinar Install the sales plugin for ChatGPT Work Top ChatGPT Work use cases for sales teams Sales work often lives across CRM fields, call notes, email threads, Slack discussions, decks, customer docs, and account signals. ChatGPT Work helps pull that context together and produce the first usable version of the artifact, whether that is a prioritized account brief, meeting prep packet, forecast risk review, account strategy pack, or stalled-deal diagnosis. Sellers and managers still own th... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据：RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination。Embodied cognition requires agents to connect high-level task reasoning with the physical states to be achieved. We introduce Hy-Embodied-RxBrain, an embodied cognition foundation model with joint language-visual reasoning and imagination. Unlike vision-language models that emphasize scene understanding and textual decision making, or generative world models that mainly predict future visual states, RxBrain represents embodied plans in a single planning sequence where language and visual imagination play complementary roles. Language provides the abstract structure of a plan, includin... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
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