专题|RSI 与 Agent 自进化:站内内容地图与三条阅读路线
本站「RSI 与 Agent 自进化」专题入口页:把站内 11 篇原创深度与 14 条一手动态收进同一张地图——先给 30 秒定性(RSI 改"改进能力"、自进化改"任务表现"),再按概念/全景/证据/判定/事件/工程/治理七层分层索引,附三条按时间预算划分的阅读路线(30 分钟 / 2 小时 / 半天)、一页速查卡、收录标准与更新日志。
阅读全文 →
全部文章
ARCHIVE 共 523 条2026 年 Ig Nobel 宣布
从美国波士顿迁往瑞士苏黎世的 Ig Nobel 奖颁奖典礼宣布了 2026 年的获奖者。明年的颁奖典礼将在德国 Flanders 的 Antwerp 举行,2028 年重返瑞士,以后的偶数年颁奖典礼都在苏黎世举行。获奖名单包括: 生物力学奖…
中国游戏市场规模在 2025 年首次突破 500 亿美元
根据 Niko Partners 的报告,中国游戏市场规模在 2025 年首次突破 500 亿美元达到 518 亿美元,2026 年预计将增长 4% 达到 539 亿美元,2030 年将达到 598 亿美元,到 2030 年中国游戏玩家将达…
GPT-6不只Astra!Sol内测结果曝光,速度快6倍
OpenAI研究院人均带3个AI实习生
DF26: We Cannot Tell Fake From Real Anymore
We introduce DF26, a novel benchmark for detecting AI-generated videos containing fully synthetic clips produced by rece…
ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding
In this paper, we propose ReactVAU, a Slow-Fast Decoupled Framework for real-time streaming Video Anomaly Understanding …
Revisiting Complete Reasoning Traces for Post-Training
Large language models (LLMs) are often post-trained on pre-collected reasoning trajectories to improve their reasoning c…
Reason Through the Latent! Making Latent Visual Reasoning Necessary
Latent visual reasoning aims to perform multimodal reasoning through hidden-state computation rather than explicit textu…
VDiff-Bench: A Challenging Benchmark for Fine-Grained Image Difference Identification
Multimodal Large Language Models (MLLMs) perform strongly on general visual understanding tasks such as visual question …
Tri-PvP: Exposing Modality Bias in Omni-Modal Large Language Models through Perceptual-Propositional Evidence Conflicts
Omni-modal large language models (OLLMs) jointly process vision, audio, and text, yet their modality bias under cross-mo…
WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data
Recent advances in wearable sensing enable continuous monitoring of physiological and behavioral signals, yet existing b…
Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs
Reasoning in large language models unfolds through diverse functional operations, such as problem formulation, goal deco…
BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference
Large Reasoning Models (LRMs) achieve superior problem-solving through extended Chain-of-Thought (CoT) generation, but t…