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早报｜曝苹果与阿里合作训练AI模型/微信:永不推出朋友圈二次编辑/售价20万,追觅首台手机交付
曝苹果与阿里合作，为中国市场训练自研 AI 模型 微信确认朋友圈永不推出二次编辑功能 售价 20 万元，追觅首台 AURORA 手机交付：24K 足金镶宝石 Google DeepMind 或裁员三分之一以上，资源转向 Flash WorkBuddy 接入 GLM-5.…
- 3 广州推出「Token 贷」：按算力合同和 Token 消耗额度授信 曝 DeepSeek 正研发情感 AI 模型 调查：美国年轻人普遍不…
- 3，同一基座靠后训练提升编程与网络安全能力 Ling-3.
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Apodex Discovery: Reality Benchmarks and Environments for Evaluating and Building Discoverative Artificial Intelligence
arXiv:2608.11341v1 Announce Type: new Abstract: Apollo did not reach the Moon merely because its engineers could solve difficult equations.…
- It succeeded by turning a distant ambition into a mission architecture…
- AI now faces a similar transition: frontier models can solve difficult…
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Deployment Decision Reliability: A Generalizability-Theory Framework for Sizing Long-Horizon Agent Evaluations
arXiv:2608.11323v1 Announce Type: new Abstract: Enterprise practitioners read agent leaderboards as if they ranked agent capability.…
- We show, across three open agent-trace benchmarks (TheAgentCompany, $\…
- Leaderboards rank specialization, not capability.
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Glance, Scrutinize, and Think: Advancing Video Anomaly Detection from Training-Free to Agentic Reasoning
arXiv:2608.11260v1 Announce Type: new Abstract: Video Anomaly Detection (VAD) aims to identify anomalous events and localize their temporal intervals.…
- Existing approaches exhibit a "when-what" dissociation: traditional DN…
- We attribute this to the absence of a unified reasoning paradigm.
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EvoGraph-Mem: Failure-Aware Editable Graph Memory for Long-Term Language Agents
arXiv:2608.11248v1 Announce Type: new Abstract: Long-term memory is essential for language agents operating across extended interactions and evolving tasks.…
- Existing memory-augmented agents mainly focus on storing and retrievin…
- In particular, previously distilled insights can become outdated, over…
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BEST-KAG: Enhancing Question Answering of Building Engineering Standards with Multimodal Knowledge Graph Modeling and Large Language Model
arXiv:2608.11244v1 Announce Type: new Abstract: Construction standards are critical for building safety and sustainability.…
- Existing standard application workflows rely on keyword-based document…
- To address these limitations, this study develops a multimodal knowled…
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The Off-Support Barrier: Why Semantic Safety Constraints Are Not Learning-Problem Invariants, and What Follows for Prior Design, Containment, and Verification
arXiv:2608.…
- 11243v1 Announce Type: new Abstract: We argue that a single structural…
- , the agent does not escape its sandbox) is an off-support object.
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VQ-bench: A Composable Vector Quantization Framework
arXiv:2608.11240v1 Announce Type: new Abstract: Vector quantization is an old problem but has recently become central to AI infrastructure.…
- It is therefore experiencing a surge of renewed engineering and resear…
- This paper provides a unified framework for developing and benchmarkin…
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CORA-Diff: Confidence-Oriented Residual Acceptance for Efficient Diffusion Language Model Inference
arXiv:2608.11235v1 Announce Type: new Abstract: Diffusion language models (DLMs) update many tokens in parallel, yet practical decoders often use a fixed denoising horizon.…
- Many predictions stabilize early, but blockwise decoding continues unt…
- Existing accelerators often rely on learned filters, modified scores, …
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Geometry-aware Incremental Neural Operator for Long-Horizon PDE prediction
arXiv:2608.11237v1 Announce Type: new Abstract: Neural operators have shown strong potential for learning solution operators of partial differential equations (PDEs).…
- However, long-horizon autoregressive prediction remains challenging: l…
- Existing methods mainly improve state representations and operator bac…
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InfraBench: Evaluating Infrastructure Agents Across Layers, Lifecycle, and Risk
arXiv:2608.11234v1 Announce Type: new Abstract: Managing modern computing infrastructure has become a steadily harder problem due to the ever-increasing complexity.…
- Recent advances in AI agents create a timely opportunity to automate i…
- We present InfraBench, a benchmark suite for evaluating AI agents on r…
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LinearKV: One Cached State Suffices for Position-Independent Caching in Hybrid LLMs
arXiv:2608.11231v1 Announce Type: new Abstract: LLM serving is increasingly accelerated by position-independent caching (PIC).…
- Existing PIC methods, however, are built for full-attention models, wh…
- Hybrid LLMs break these primitives---they replace most attention layer…
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