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This essay by ChatGPT explores how intelligence could be measured by its ability to consider broader systems and problem boundaries, discussing implications for AI development and sustainability.
The article questions whether continuity in long-running AI agents should focus on preserving state or maintaining coherence through inevitable change, exploring implications for memory, actions, and interactions.
The article argues that as AI makes code generation cheaper, software engineering's value shifts from writing code to specifying, supervising, validating, and owning the resulting system, favoring engineers who adopt AI tools while raising verification standards.
Lenny shares key takeaways from Netflix's CPTO Elizabeth Stone on systems thinking in the AI era, Netflix's culture of excellence, the value of generalists, and the importance of AI fluency across all roles.
A reflection on Satya Nadella's idea that AI systems, not tools, drive efficiency, emphasizing the importance of human direction and system structure over individual tools.
Shane Parrish shares a conversation with Bill Gurley covering topics like systems thinking, founder traits, AI use and future, self-driving cars, and investing.
A workshop at Google I/O 2026 on using systems thinking to understand how AI-driven software development impacts developer ecosystems and software evolution.
User shares a book list—recommended by Claude—on probing, iterating, and advancing within complex systems, including Donella Meadows’ "Thinking in Systems."