@AndrewYNg

The Agent Harness Era We are moving from LLMs as 'brains' to agents with 'bodies'—dedicated infrastructure like Claude Code and Google Antigravity that ground autonomous agents in professional software environments and local terminals.

Industrializing Digital FTEs McKinsey’s deployment of 25,000 agents signals the arrival of the 'Digital FTE,' shifting the focus from simple text generation to multi-agent orchestrators managing complex operational workflows at scale.

Code-as-Action Dominance The success of frameworks like Hugging Face’s smolagents proves that executing Python scripts, rather than rigid JSON payloads, is the key to solving complex reasoning tasks and benchmarks like GAIA.

Local Infrastructure Push Between AMD's 200B edge models, Ollama’s MCP integration, and persistent cloud reliability issues, the agentic stack is rapidly consolidating around local execution and 'loop until pass' patterns.

The Architectural Shift Moving from autoregressive token prediction to 'world models' that understand physics and causality, as signaled by Meta's Yann LeCun.

Local Reasoning Supremacy Small, specialized models like NousCoder-14B are outperforming GPT-4o on coding tasks through intensive RL and B200-powered training.

Action-Oriented Interfaces The rise of 'pixel-manipulation' agents and Python-first orchestration marks the end of simple text-based interactions and the start of desktop-autonomous systems.

Hardware-Infrastructure Convergence NVIDIA's Rubin and Blackwell architectures are evolving into 'inference factories' to solve the memory bottlenecks currently killing long-horizon planning.