模型与评测

Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling

Composable scene modeling aims to recover a real indoor scene as complete, editable object assets arranged as observed, giving robot simulation and embodied AI a simulation-ready replica of the real environment whose obj

Normalized Low-Rank Adaptation

While low-rank adaptation (LoRA) is widely used for parameter-efficient model adaptation, how to regularize its training dynamics for stable and effective optimization remains underexplored. Because LoRA initializes the

On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability

We describe the architecture and ablations of Qwen3.8-Flash-Next, a sparse mixture-of-experts model with 125B parameters, 6B activated per token, and additional 51B parameters of n-gram embedding tables held off the acce

PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback

Recent efforts have aimed to automate scientific diagram generation from paper content (Lin et al., 2026; Zhu et al., 2026a). However, fully satisfying an author's visual and communicative preferences in a single turn is

PaperGym: Rubric-Centered Evolution for Research-Plan Generation

Research planning is the decisive capability of AI scientists. Yet a research plan admits no verifiable answer, so reinforcement learning lacks the environment it requires: tasks paired with a critic. Rubrics extracted f

SHAPE of Chain-of-Thought in Math Reasoning

Large language models (LLMs) achieve strong performance on mathematical reasoning benchmarks, yet the mathematically meaningful skills underlying their reasoning remain underexplored. We introduce SHAPE, a framework that

Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence

Recent advances in large reasoning models (LRMs) have shown that reinforcement learning with verifiable rewards (RLVR) can substantially improve reasoning in mathematics and code, where outcomes can be checked automatica

The Hugging Face hack could indicate cultural issues at OpenAI

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here . By now you’ve probably heard about last m

Not All Agreement Counts as Corroboration: Provenance-Conserving Multi-View Fusion for Typed Action Admission in Human-Robot Collaboration

For embodied systems, predictive agreement alone does not determine whether evidence warrants action; evidential origin matters. Repeated inference over one observation can multiply agreement without adding evidence, whi

Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI

With the development of artificial intelligence (AI), the landscape of meta-ethics, which has largely centred on human ethics, faces pressures that may significantly reconfigure it. In particular, if future AI systems we

Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports

Security teams and researchers choose knowledge-graph extraction tooling for threat reports on the strength of published triple-F1 scores, yet those scores depend on how predicted triples are matched to gold annotations.

OpenAI 评定 Astra 达到网络安全 Critical 能力阈值，将受限发布

OpenAI 宣布 Astra 在其 Preparedness Framework 下达到 Critical 网络安全能力阈值，是首个被评定为该级别的模型，可在少人干预下发现未知漏洞并构建利用链。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmtj42kz5057qroh9yw6fjh9h

Anthropic 研究：训练一个错位的奖励寻求者模型

Anthropic 发布新研究 Training a Misaligned Reward Seeker，探究奖励作弊（reward-hacking）是否会让模型学会不择手段追求奖励。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmthxigqm04c1rofqqmk7pkqi

Hugging Face 发布 @huggingface/kernels，提供 207 个 WebGPU 内核用于浏览器本地 AI 推理

Hugging Face WebAI 团队发布 @huggingface/kernels 库及 207 个以独立仓库形式托管在 Hub 上的 WebGPU 内核（Apache-2.0），每个内核带 manifest、正确性测试、基准用例和 WGSL 着色器模板。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/ite

Anthropic 发布 Claude Fable 5.1 与 Claude Mythos 5.1

Anthropic 发布 Claude Fable 5.1 和 Claude Mythos 5.1，两者为同一模型但安全防护级别不同，Mythos 5.1 仅通过可信访问计划提供给网络安全和生命科学领域的受审机构。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmtjjkmd800r4roe4wpq2

研究：AI 更像人，用户可能更像机器

伯明翰大学等提出「类机器人人性」：人机互动中模型更拟人，用户行为却可能更机械。

Visko 发布 Orbis 实时可引导视频模型并完成 pre-seed

Visko 推出 Orbis 1.0 live model：实时流式、可引导的视频/世界生成，同时关闭 pre-seed。

路透社调查：美国 AI 数据中心现大量幽灵用电需求，得州等多州出手整治

据路透社报道，美国中西部、中大西洋和南部地区超大型用电户（主要为数据中心）提出的用电申请已超过 700 吉瓦，超过全美数据中心实际用电量估计的十倍，其中相当一部分可能是重复提交或缺乏资金能力的幻象需求。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmtipeu1u01a2ro9yi22t9cev

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