Karpathy: Stop Building for Humans

2026-03-29 · Source: No Priors: AI, Machine Learning, Tech, & Startups · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Software Development & Engineering · Depth: Intermediate, quick

Summary

The current paradigm of smart home devices and other connected hardware relying on individual mobile applications is inefficient and outdated. Instead, the industry should transition towards a model where devices expose robust APIs, allowing intelligent agents to directly interact and automate complex tasks on behalf of human users. This shift would enable more sophisticated and integrated home automation, eliminating the need for users to navigate multiple apps or web interfaces for basic functions like tracking fitness data from a treadmill. The core idea is that the primary "customer" for these device interfaces should evolve from humans to autonomous agents, necessitating a substantial industry reconfiguration.

Key takeaway

For AI Product Managers designing smart home or connected device ecosystems, you should prioritize API-first development over standalone mobile applications. This strategic shift will enable your products to integrate seamlessly into agent-driven automation, enhancing user experience by reducing app fatigue and allowing for more sophisticated, personalized interactions without direct human intervention. Focus on robust, well-documented APIs to future-proof your offerings.

Key insights

Future device interaction should prioritize agents using APIs over humans using individual apps.

Principles

• APIs enable complex automation.
• Agents can act on human behalf.

In practice

• Expose device APIs for agent access.
• Integrate smart devices via agents.

Topics

• Agent-Centric Design
• APIs
• Home Automation
• Industry Reconfiguration
• Human-Agent Interaction

Best for: AI Product Manager, Entrepreneur, AI Architect, AI Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by No Priors: AI, Machine Learning, Tech, & Startups.