2026-07-18

Boogu-Image-0.1: Boosting Open-Source Unified Multimodal Understanding and Generation

👍 122

07/14 08:00

We introduce Boogu-Image-0.1, an open-source unified multimodal understanding and generation model family, comprising Base, Turbo, Edit, and Edit-Turbo variants. It delivers competitive performance in high-quality text-to-image generation, fast inference, instruction-based editing, and bilingual (Ch

中文介绍 开源统一多模态理解与生成模型家族（Base/Turbo/Edit/Edit-Turbo），在文本到图像生成、快速推理、指令编辑及双语支持上表现优异。

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding

👍 108

07/16 08:00

Recent advances in video understanding have spanned motion, long video, and streaming interaction, driving this field toward real-world applications. Despite this progress, current open-source models remain limited in several ways. They often struggle to generalize across diverse video types, making

中文介绍 全开放视频MLLM，解决开放源模型在多样化视频类型上泛化不足的问题，实现高效通用视频理解。

Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

👍 84

07/14 08:00

Reinforcement learning with verifiable rewards without human-annotated data, often referred to as zero RL, has emerged as a powerful paradigm for eliciting chain-of-thought reasoning. However, due to computational constraints, existing studies are largely restricted to small models, leaving the trai

中文介绍 将零RL（可验证奖励强化学习）扩展至万亿参数模型，激发链式推理，突破小模型计算限制，验证规模化有效性。

SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning

👍 67

07/16 08:00

Large language models are increasingly trained as interactive agents for long-horizon tasks involving multi-turn interaction, tool use, and environment feedback. Outcome-based reinforcement learning (RL) provides a practical optimization paradigm, but its sparse trajectory-level rewards offer limite

中文介绍 自进化策略蒸馏用于智能体RL，针对长程任务中稀疏轨迹级奖励问题，通过策略蒸馏提升学习效率。

KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill

👍 52

07/15 08:00

OpenClaw has emerged as a leading agent framework for complex task automation, yet it faces insufficient cross-platform GUI interaction support and a well-built self-evolution mechanism. These flaws limit its adaptation to diverse device ecosystems and prevent performance improvements through contin

中文介绍 个人GUI助手带自进化记忆与技能，改进OpenClaw框架，增强跨平台交互支持及持续性能提升。

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration

👍 49

07/16 08:00

Recent advances in Tool-Integrated Large Language Models have made web search a core capability of information-seeking agents. However, as interaction histories grow, agents increasingly struggle to track task progress. When search attempts fail to yield useful evidence, current single- and multi-ag

中文介绍 鲁棒开放域信息搜索智能体协作，解决长交互历史中任务跟踪困难及搜索失败问题，提出多智能体协作方案。

LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget

👍 40

07/16 08:00

A growing gap separates inference context lengths from RL post-training: inference systems are approaching million-token contexts, while post-training workloads often remain at 256K tokens or below and rely on length generalization at deployment. The gap is especially important for AI agents, whose

中文介绍 固定GPU预算下实现超长上下文RL（超2M tokens），弥补推理与训练上下文长度的差距，提升AI智能体长程任务能力。

BadWAM: When World-Action Models Dream Right but Act Wrong

👍 36

07/16 08:00

World-action models (WAMs) are emerging as a promising foundation for embodied control: rather than predicting actions alone, they learn representations that couple action generation with future world prediction. This coupling is often viewed as a source of robustness, interpretability, and safety,

中文介绍 揭示世界动作模型(WAM)中动作与未来世界预测耦合可能产生“做得对但行动错”的隐患，挑战其鲁棒性假设。

AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities

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07/15 08:00

As Large Language Models (LLMs) evolve into autonomous agents, the need for unified evaluation infrastructure becomes critical. However, current evaluation pipelines remain highly fragmented and tightly coupled, hindering reproducibility and causing redundant engineering. To address this, we introdu

中文介绍 统一智能体评估基础设施，解决当前评估流程碎片化、紧耦合问题，提升可重复性并减少冗余工程。

PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails

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07/07 08:00

Image guardrails are typically trained and evaluated under a fixed safety policy, implicitly treating safety as an intrinsic property of an image. Real deployments are different: the same image may be allowed in one product, restricted in another, and newly disallowed when a policy boundary changes.

中文介绍 策略自适应图像护栏基准与改进，应对不同产品/策略下同一图像可能被允许或限制的现实需求，提升护栏适应性。

KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation

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07/15 08:00

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

中文介绍 关键帧条件视频生成综合评估，检验模型能否忠实再现指定关键帧并保持时间一致性。

MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors

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07/13 08:00

Current visual generation models are capable of producing high-quality content, yet they lack a coherent perception of the spatial structure. Existing generative novel view synthesis methods typically introduce explicit geometry priors, which enforce spatial consistency but inherently restrict gener

中文介绍 单目新视角合成引入尺度感知隐式几何先验，在保持空间一致性的同时不限制生成多样性。

MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation

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07/15 08:00

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 t

中文介绍 多参考到音视频生成综合评估，填补现有基准在多参考、文本驱动及音视频对齐方面的空白。

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch

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07/15 08:00

World Action Models (WAMs) improve robot policy learning by jointly modeling actions and future visual observations, using future scene evolution as dense supervision for physically grounded action generation. However, a common design in existing WAMs is to explicitly generate future videos at infer

中文介绍 更快的世界动作模型(WAM)，通过AutoResearch优化，避免推理时显式生成未来视频，加速并增强机器人策略学习。

Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes

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07/14 08:00

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 sampler

中文介绍 基于Masked Diffusion Models的耦合马尔可夫跳跃过程，实现图像理解与生成的协同自纠正。

UniVR: Thinking in Visual Space for Unified Visual Reasoning

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07/14 08:00

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, U

中文介绍 首次从纯视觉演示同时学习复杂推理、物理动力学和长期规划，在视觉空间中实现统一推理。

Self-Improvements in Modern Agentic Systems: A Survey

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07/14 08:00

Self-improving autonomous agents are moving from research prototypes to deployed systems. The primary goal is controllable evolution, or adaptation, from experience with minimal or even no human input. This survey frames modern self-improving agents as adaptive systems that convert experience into a

中文介绍 综述现代自改进智能体系统，将其框架为由经验驱动的自适应系统，实现可控进化，减少人工干预。

Spectral Rewiring for Exploration, Purification, and Model Merging

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07/03 08:00

Reinforcement learning has become a standard post-training recipe for large language models, but dense full-parameter updates create two deployment-relevant bottlenecks: suppressed reasoning performance, often reflected by premature saturation of test-time scaling, and interference when consolidatin

中文介绍 针对RL后训练全参数更新导致的推理性能抑制和模型合并干扰，提出光谱重连方法以缓解瓶颈。

Video = World + Event Stream

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07/16 08:00

We present Wan-Streamer v0.3, which reframes our native-streaming interaction model under a single organizing view: a video is a world plus an event stream. The world is the persistent context in which a video unfolds, including the environment, scene, subjects, ambient acoustic conditions, voice ch

中文介绍 Wan-Streamer v0.3将视频重构为“世界+事件流”，世界持久上下文，事件流捕获变化，实现原生流式交互。

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation

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07/15 08:00

While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely on 2D diffusion supervision without explicit mechanisms for geometric consistency, leading to spatial hallucinations such as duplicated structures and misaligned geometry. These issues become

中文介绍 多模态幻觉缓解用于一致时空3D生成，解决2D扩散监督缺乏几何一致性导致的重复结构等幻觉问题。

GLM 5.2 With Vision

@part_harry_ · 1.5K 粉丝 · 225.6K 阅 · 503 赞 · 46 转

07/16 12:24

GLM 5.2 is one of the best currently available open source language models. However, unlike other flagship models like Qwen, Kimi and Minimax, GLM 5.2 does not support image inputs. We took this as a

中文介绍 开源模型GLM 5.2本身优秀但不支持图像输入，作者为其添加视觉能力，使其能够像Qwen、Kimi等旗舰模型一样处理图片输入。

The Self-Driving Company

@amasad · 472.6K 粉丝 · 223.7K 阅 · 560 赞 · 65 转

07/17 01:07

We are beginning to see what happens when a company learns to operate itself. In the past six months, engineers at Replit have nearly tripled code output. Review times held steady. Reversions and

中文介绍 Replit展示「自我运营公司」雏形：过去六个月工程师代码输出量近翻三倍，审查时间保持稳定，返工率下降，效率显著提升。

How OpenAI’s Sol Finally Learned Design Taste

@DesignArena · 17.6K 粉丝 · 191.5K 阅 · 509 赞 · 46 转

07/16 00:36

We benchmarked GPT-5.6 Sol on Design Arena’s Web Design (Non-Agentic) Arena, and we were surprised to find that it ranks 1st overall. This is 18 places higher than its predecessor GPT-5.5, and is the

中文介绍 在Design Arena网页设计非代理评测中，OpenAI的GPT-5.6 Sol排名第一，比前代GPT-5.5提升18个名次，首次展现出设计品味。

The Next Horizon in Agents

@btaylor · 158.6K 粉丝 · 144.3K 阅 · 511 赞 · 40 转

07/16 22:48

Introducing Horizon Today, Sierra is announcing Horizon, a platform that enables agents to pursue long-horizon goals, like originating a loan or getting prior authorization for a healthcare procedure.

中文介绍 Sierra发布Horizon平台，使智能体能够追求长期目标，如贷款审批或医疗预授权，扩展了代理能力的边界。

Gemini API Managed Agents: free tier, triggers & more

@GoogleAIStudio · 186.6K 粉丝 · 111.0K 阅 · 512 赞 · 51 转

07/17 01:05

Today we’re announcing new capabilities for Managed Agents in Gemini API, including free tier availability, budget control guardrails, and scheduled triggers. Building on our previous release of

中文介绍 Google AI Studio宣布Gemini API托管智能体新功能：免费层可用、预算控制护栏、定时触发器，降低使用门槛，推动代理开发。

How we built our knowledge base

@cerebras · 60.4K 粉丝 · 70.7K 阅 · 509 赞 · 38 转

07/17 02:27

Authors: @hi_im_isaac_, @learnwdaniel, @gaozenghao note: the interactive version of full technical blog available: https://www.cerebras.ai/blog/how-we-built-our-knowledge-base Employees ask our internal knowledge base more than 15,000

中文介绍 Cerebras分享构建内部知识库的技术博客，员工每月查询超15000次，详细讲解了检索增强生成等实践细节。

Kimi K3 on KernelBench

@elliotarledge · 40.7K 粉丝 · 69.3K 阅 · 506 赞 · 45 转

07/17 17:24

This is the Kimi K3 post you guys have been waiting for. I got some early access to this model and have been testing it on kernels, and even before seeing the benchmark scores I was impressed with its

中文介绍 作者提前测试Kimi K3模型，在KernelBench内核基准上表现令人印象深刻，性能超越预期，引发社区关注。

Let's build Claude Code's harness (step-by-step)

@akshay_pachaar · 281.7K 粉丝 · 53.7K 阅 · 516 赞 · 74 转

07/16 02:10

We will cover everything that goes into building a coding harness, the agent loop, planning, subagents, sandboxing, memory, and checkpointing, built step by step. If you've ever tried building your

中文介绍 逐步教程：从零构建类似Claude Code的编码工具链，涵盖代理循环、规划、子代理、沙箱、记忆和检查点。

How to build a self-improving code review agent

@zachlloydtweets · 12.1K 粉丝 · 42.7K 阅 · 527 赞 · 57 转

07/16 00:20

This is the third post in my series on how to build a cloud software factory: Build an issue triage agent Build a spec writing agent [This post] Build a self-improving code review agent I’ll describe

中文介绍 系列第三篇：构建自我改进的代码审查代理，与issue分类代理和规格编写代理组成云端软件工厂流水线。

Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers

Hugging Face Blog · 07/17 23:57

中文介绍 NVIDIA 与 Hugging Face 合作，利用 NeMo Automodel 和 Diffusers 实现视频和图像模型的大规模微调。

A scorecard for the AI age

OpenAI News · 07/17 18:00

Sarah Friar, CFO of OpenAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.

中文介绍 OpenAI 首席财务官 Sarah Friar 推出实用 AI 记分卡，通过有用工作、每成功任务成本、可靠性和计算回报来衡量 ROI。

The risk of weather data sabotage is rising

MIT Tech Review AI · 07/17 16:57

Every morning, airline dispatchers, grid operators, and farmers around the world make decisions based on the same thing: a weather forecast. While these forecasts are something that most people glance at for two seconds, weather predictions influence major strategic decisions in many industries, wit

中文介绍 天气数据被破坏的风险上升。全球航空调度员、电网运营商和农民等依赖天气预报做重大战略决策，数据安全威胁加剧。

not much happened today

Smol AI News · 07/17 13:44

**Moonshot's Kimi K3 release** has sparked a reassessment of **Chinese open-weight models**' proximity to the frontier, with strong performance in coding, agentic tasks, and long-horizon knowledge work. The strategic focus has shifted from a "compute moat" to an "efficiency stack" involving **MoE ro

中文介绍 Moonshot 发布的 Kimi K3 引发对中国开源权重模型接近前沿水平的重新评估，在编码、智能体任务和长周期知识工作中表现出色。战略重点从“计算护城河”转向“效率栈”。

[AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricing

Latent Space · 07/17 09:46

a great week for open models continues.

中文介绍 Kimi K3 拥有 2.8T 参数、50B 激活，是迄今最大的开源模型，性能达 Opus 4.8 级别，定价与 Sonnet 5 相当。

Kimi K3 🌕, Gemini 3.5 delayed ⏳, crushing ARC-AGI 3 🤖

TLDR AI · 07/17 08:00

中文介绍 今日 AI 新闻：Kimi K3 发布、Gemini 3.5 延迟、ARC-AGI 3 被攻克。

Why teens deserve access to safe AI

OpenAI News · 07/17 00:00

Learn how OpenAI is making ChatGPT safer for teens with age-appropriate protections, learning tools, parental controls, and expert partnerships.

中文介绍 OpenAI 为青少年提供更安全的 ChatGPT，包括适龄保护、学习工具、家长控制和专家合作。

🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences

Latent Space · 07/16 21:30

Lila is betting that science, not the internet, is the last untapped source of training data. We went to find out what that actually looks like in a room full of robots.

中文介绍 Lila Sciences 认为科学而非互联网是最后未开发的训练数据源。未来实验室应像数据中心，充满机器人。

Newer Models, Same Advantage

Hugging Face Blog · 07/16 19:49

中文介绍 新模型，相同优势。探讨模型更新中保持原有优势的原则。

Our approach to bioresilience

DeepMind Blog · 07/16 17:30

Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.

中文介绍 Google DeepMind 与 Isomorphic Labs 分享其在生物韧性和 AI 模型方面的联合方法。

[AINews] Thinky's Inkling: 975B-A41B multimodal, new best American Apache 2.0 open model (with Inkling-Small, 276B-A12B)

Latent Space · 07/16 14:18

Thinky's first full LLM release is a banger and bonus: it's open weights!

中文介绍 Thinky 发布首个完整大语言模型 Inkling：975B 参数（41B 激活），多模态，Apache 2.0 开源权重。另有小模型 Inkling-Small（276B-12B）。

not much happened today

Smol AI News · 07/16 13:44

**Moonshot AI** launched **Kimi K3**, a frontier-class open-weights model with **2.8T parameters**, **1M-token context window**, and **native multimodal input**. It features novel **Kimi Delta Attention (KDA)** enabling up to **6.3x faster decoding** and **Attention Residuals** for **~25% higher tra

中文介绍 Moonshot AI 发布 Kimi K3：2.8T 参数、100 万 token 上下文窗口、原生多模态输入，采用 Kimi Delta Attention 实现最高 6.3 倍解码加速。

How Cars24 scales conversations and builds faster with OpenAI

OpenAI News · 07/16 08:00

Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company.

中文介绍 Cars24 利用 OpenAI 语音和聊天代理处理每月超 100 万分钟对话，挽回 12% 流失线索，并推广智能体工作流。

Security incident disclosure — July 2026

Hugging Face Blog · 07/16 08:00

中文介绍 Hugging Face 披露 2026 年 7 月安全事件详情。

Thinking Machines Inkling 🧠, GPT-Red 🔒, Perplexity sandboxes 🛡️

TLDR AI · 07/16 08:00

中文介绍 AI 新闻：Thinking Machines 发布 Inkling 模型、GPT-Red 安全工具、Perplexity 沙箱保护。