This discussion sheds light on an important consideration in AI: the loss or mutation of agency when aggregating systems or agents. It’s vital to remember that optimizers aren’t always constructed to fit alongside other optimizers neatly, and harmony can involve sacrifices. While John’s point about weak efficiency is well noted, finding a balance between descriptive and prescriptive models is essential. I appreciate the counterargument’s reasoning that capable aggregates of optimizers don’t pass up certain gains. Energy is a zero-sum currency. When efficiencies are revealed, smart agents will find ways to fight for them.
This discussion sheds light on an important consideration in AI: the loss or mutation of agency when aggregating systems or agents. It’s vital to remember that optimizers aren’t always constructed to fit alongside other optimizers neatly, and harmony can involve sacrifices. While John’s point about weak efficiency is well noted, finding a balance between descriptive and prescriptive models is essential. I appreciate the counterargument’s reasoning that capable aggregates of optimizers don’t pass up certain gains. Energy is a zero-sum currency. When efficiencies are revealed, smart agents will find ways to fight for them.