深度研究｜递归自我改进（RSI）全景 2026：AI 正在加速 AI，但「验证瓶颈」决定它能走多远
梳理 RSI 从 Good 1965 到 2026 的思想史、技术图谱与一手实证：Anthropic 承认其代码库 >80% 合并代码由 Claude 撰写、METR 测得 AI 可完成任务时长约每 4 个月翻倍、AlphaEvolve 优化了支撑自身的计算栈。核心判断——有界自我精炼已工程化，开放式 RSI 尚未发生；而进步与安全共享同一个「验证瓶颈」。
阅读全文 →
最新文章
LATEST 共 516 条Puppeteer: Object-Grounded Posture-Aware Co-Speech Gesture Generation
Generating co-speech gestures that are temporally coherent, semantically aligned with speech, and grounded with surround…
Dr. Claw: An AI Scientist Workspace for Vibe Research
Command-line coding agents (e.g., Claude Code, Gemini CLI) can already read and write files and sustain long sessions, y…
Group Adaptive Clipping Policy Optimization
Group relative policy optimization for reinforcement learning with verifiable rewards (RLVR) typically uses a fixed impo…
PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference Optimization
Direct Preference Optimization (DPO) simplifies alignment through pairwise comparisons but assumes all observed preferen…
AgenticGen: Reward-Guided Agentic Video Generation for Advertising
Advertising video generation is not only a video synthesis task, but also a product-conditioned reasoning problem whose …
Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space
Reinforcement learning with verifiable rewards (RLVR) substantially improves single-sample accuracy (pass@1) but causes …
QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation
Instance segmentation of overlapping cells in microscopy remains challenging due to semi-transparent structures that pro…
Scaling Automatic Research Agents via World Models
Automating empirical research is a long-standing direction of AI. Recent automatic research (AutoResearch) agents bring …
Recognition-Refusal Misalignment in LLMs: Why Models Answer Structurally Unanswerable Questions
Large language models often answer structurally unanswerable questions, such as computing cot(-540°) or evaluating (1).s…
To See a World in a Living Context: Unified Indoor-Outdoor Urban World Generation
Text-driven 3D generation has advanced rapidly in creating large-scale outdoor environments and detailed indoor scenes, …
HyQuant: Hybrid-Precision Quantization for LLM Attention
Quantization has been widely adopted in LLM training and inference to reduce cost and improve efficiency. However, low-b…
Motion-Omni: End-to-End Joint Speech and Full-Body Motion for Spoken Dialogue
An avatar that holds a conversation should decide what to say and to move while saying it, yet these abilities live in s…