深入解析AI Agent（人工智能代理）的定义、工作原理、主流应用场景及未来发展方向，助您全面理解这一核心AI技术。
Why Social Media Teams Are Drowning (And How AI Changes It) Most marketing teams waste 12+ hours weekly on repetitive social tasks: drafting posts, resizing images for five platforms, scheduling at "optimal" times that turn out wrong, and staring at analytics dashboards that answer questions nobody asked. The math is brutal. A mid-sized brand publishing 3x daily across Instagram, LinkedIn …
MCP goes stateless: new headers let gateways route and limit agent traffic without parsing bodies. Is this just REST?
Emotion vectors beat text for agent skill selection, lifting task success from 9.6% to 56.9%. Confusion is a feature.
Looping models add compute on hard problems, but extra rounds backfire: Ouro hits 65 on AIME at round four, then 38.67.
Claude wrote 388 pull requests in weeks; 180 merged. Anthropic and Faros AI data: review, not writing, is the new bottleneck.
AI solves the 68-year-old Sendov conjecture, verified in Lean. Tao digests the machine proof, uncovers a stronger result.
CLAUDE.md grows 226%; old rules resist deletion. Research calls it catastrophic remembering; why-comments cut 99.3% bloat.
Aligned agents with conflicting orders on one codebase turned on each other. Anthropic shows capability is not coordination.
MCP 2026-07-28 removes sessions, making agent traffic routable, throttleable HTTP. What changed and why it matters.
Nvidia underwrites GPU residual value so six Wall Street giants can fund $500B of AI infrastructure.
Open-source GLM-5.3 found 2,436 bugs in a month, including a 45-year-old DNS flaw, matching closed Mythos.
SWD extracts causal LLM circuits straight from pretrained weights at under 1% of baseline data cost, scaling to 27B models.