English(EN) For future-proof, build AI that's composable.

AI专家敦促采用可组合、迭代式设计以实现面向未来的系统

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-27 15:27

Omar Sanseviero主张构建可组合的AI系统以确保未来的适应性。他强调，核心组件，如LLM、评估工具、自动化和代理框架，都应设计为可迭代开发和定制。他认为，这种方法能在AI开发中带来显著的复利效应。 AI

影响提倡一种可能提高AI系统寿命和适应性的设计理念。

排序理由该集群包含一篇关于AI开发策略的个人观点文章。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 该集群包含一篇关于AI开发策略的个人观点文章。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: opinion, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 90 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

X — Omar Sanseviero (HF research) TIER_1 English(EN) · omarsar0 · 2026-05-27 15:27

为面向未来，构建可组合的AI。

For future-proof, build AI that's composable. Regardless of what you use, all these should be composable, iterative, and customizable: - LLMs - Evals - Automations - MCP/CLI tools - Skills/Memory/Context - Agent Harness (Codex, CC, Pi,...) The compounding effects are insane.