大模型能力提升路线图：从"堆参数"到训练全栈 + 外层程序
把 2026 年可核查的公开证据整理成一张六层能力路线图——预训练、后训练 RL、推理时计算、上下文与记忆、智能体与 Harness、世界模型。含 Meta ScaleRL 40 万 GPU 小时实验结论、RL 预算占比 10%–30% 口径、Chinchilla 对比、Meta-Harness 6x 差距等数据锚点，并给出优先级表与算法工程师/产品经理的行动建议。
阅读全文 →
最新文章
LATEST 共 222 条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…
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…
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, …
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…
One Symptom, Three Levers: A Critical Review of On-Policy Self-Distillation
On-policy distillation trains a language model on its own generations while a teacher scores them token by token. It com…
Real-World Knowledge-Guided Change Data Synthesis for Remote Sensing
Change data synthesis provides a cost-effective solution for expanding training data and improving the performance of ch…
Training-Free Speech-Centric Omni Understanding with Frozen VLMs
Audio-visual understanding remains challenging because models must jointly interpret spoken content, visual events, and …
Flask 之父撰文力荐 Pi：极简 Agent 的设计哲学
Armin Ronacher 发表《Pi: The Minimal Agent Within OpenClaw》，系统阐述了 Pi 框架'四个工具 + 最短系统提示词'的极简主义 Agent 设计观。
OpenClaw 刷屏：个人 AI 助理的开源引爆点
Peter Steinberger 的开源个人智能助理项目（前身 ClawdBot / MoltBot）更名为 OpenClaw 并刷屏科技圈，7×24 小时待命的'电子员工'形态引发全网部署热潮。