Why More AI Agents Don't Equal Higher Productivity? Google Expert Introduces the Concept of 'Orchestration Tax'
Addy Osmani points out that the startup costs for AI Agents are approaching zero, but tasks like result verification and conflict resolution still depend on human attention, the 'serial processor'. Developers become the GIL (Global Interpreter Lock) of the system, and simply adding more Agents just lengthens the queue for review without actually boosting output.
Why It Matters: A truly mature Agent workflow isn't about piling on the number of Agents, it's about designing the architecture of human attention like you would with a distributed system. This is a core contradiction that gets overlooked in the current wave of AI programming tools.
#AI #Agent #人工智能 #编程 #Web3
Addy Osmani points out that the startup costs for AI Agents are approaching zero, but tasks like result verification and conflict resolution still depend on human attention, the 'serial processor'. Developers become the GIL (Global Interpreter Lock) of the system, and simply adding more Agents just lengthens the queue for review without actually boosting output.
Why It Matters: A truly mature Agent workflow isn't about piling on the number of Agents, it's about designing the architecture of human attention like you would with a distributed system. This is a core contradiction that gets overlooked in the current wave of AI programming tools.
#AI #Agent #人工智能 #编程 #Web3