瓶颈不在于模型。 而在于支撑系统.
Harness Engineering：一门新兴学科，专注于构建模型外围系统，以确保智能体能够可靠且受控地投入生产环境。
- AI负责人 · Google Cloud LATAM
- 前NTT DATA员工
- 智能体AI
- 对话式AI
- 机器人
- 产品
- 企业转型
EUREKA，每两周发送至您的收件箱
AI、智能体与机器人——关于如何从演示（demo）走向现实世界影响力的观点、演讲和分析。提供英文和西班牙文版本。
您将在 Substack 上进行确认。无垃圾邮件；可随时退订。
我所笃信的五个论点
这些信念塑造了我对 AI 现状的理解，也指明了真正的机遇所在。
- 01
瓶颈在于支撑系统，而非模型。
AI 系统的真实性能更多地取决于模型外围的要素——工具、上下文、验证、记忆、限制——而非模型本身。
- 02
从 Copilot 到数字员工。
自主智能体不再仅仅提供辅助：它们端到端地执行完整流程。这改变了我们衡量价值、风险和 ROI 的方式。
- 03
机器人技术刚刚找到了它的大脑。
基础模型正是机器人技术苦苦等待了四十年的突破。具身智能（Embodied AI）是下一个前沿——涵盖工业、科学与社会领域。
- 04
单次产出成本将决定哪些智能体能够存活。
Token、重试、人工监督：每个智能体都有自己的损益表（P&L）。优势不在于拥有智能体，而在于知道哪些智能体能实现自给自足，并能够证明这一点。
- 05
如果无法触及用户，它就依然只是个 Demo。
真正有意义的应用 AI = 商业 + 社会 + 人。三者缺一，便无真正的实际影响。
从哪里开始
精选几篇代表当前思考的文章——涵盖智能体AI、基础模型以及将其落地部署的现实情况。
The agentic enterprise needs an immune system
How to design AI agents that can act without concentrating trust: identity, least privilege, containment, oversight, and recovery.
The Stopwatch and the Exam
Static AI benchmarks did not die; they stopped being enough. A grounded look at the move from capability to agency, the harness problem, and where to put attention now. Backed by a public catalog of 69 agentic benchmarks.
Cognitive Architecture and Emergent Phenomena in Advanced AI
A synthesis of current mechanistic and behavioral research on how cognitive structures and emergent behavior arise in modern AI systems.
The next generation of AI: Self-Improvement and Autonomous Learning
Self-improvement and autonomous learning in AI — and the road to an intelligence explosion.
我的写作内容
资源库中反复出现的主题。可按任何主题筛选资源库。
原型、基准测试与工具
探索AI、智能体和复杂系统的交互式实验——从开源AI智能体基准测试追踪器开始。
推荐语
来自我组建的团队、合作过的管理层以及共同交付过项目的工程师的声音。
“During the time we worked together he demonstrated a remarkable vision to apply technology in order to solve real daily problems. His passion and proactivity makes him achieve what sometimes seems impossible. Very focused on customer needs, always a pleasure to work with Santiago!”
Agustin Aznar GabásHead of Retail (Spain, Portugal & Italy) · Executive Committee“Santi worked with me for 10 years. His ability to set up teams and his foresight in detecting new tech trends, that will disrupt the market is outstanding. He ran the product management of a set of payment products, which are successfully used today by Spanish Merchants, Banks, and Users.”
José Manuel ReyesPayment Processing Specialist“Santi is constantly surprising with innovative and disruptive products with huge potential to change the market. He is always ahead of the pack in terms of technology and how it can disrupt businesses.”
Angel Luis de la MoyaProduct Manager · Getnet Europe (a Santander Company)“I worked on Santi's team for 4 years. He has a surprising drive, he is able to break down all the barriers to launch a product. Due to his software engineering background he understands the technical challenges, which makes communication between clients and technical staff easy.”
Héctor Abraham Morillo PrietoSoftware Engineer · Automattic
在哪里可以找到我
同样的观点，不同的形式。选择适合您阅读、观看或收听习惯的渠道。
关于作者
物理学家出身，现任 Google Cloud LATAM 地区 AI 前向部署工程师（Forward Deployed Engineers）负责人。我通过写作来理清 AI 变革的脉络，并分享在实际交付中行之有效的经验。