We're not all "managers" now
There seems to be this pervasive misconception among some die-hard AI enthusiasts that suddenly they're "managers" or "leaders" now.
This annoys me because:
- Superficially, it's a misconception of what "management" is.
- It's yet another anthropomorphization of a technology, which is yet another step down the path of AI psychosis.
Having used AI extensively daily for the past year now, the only thing I do that's common to the practice of management is articulate what I want from the agent in natural language. That's it.
Here are some of the core skills involved in management, however, that don't apply to interacting with agents:
- Using empathy to understand and work with people's motivations, ambitions, flaws, etc.
- Delegating accountability.1
- Managing stakeholder expectations.
- Navigating organizational systems, processes, politics and egos to try to improve the likelihood of you, your team's, and your company's success (all at the same time).
So what's the alternative here to "management" of agents? I don't think we have the right words yet to describe this process, so all I can do is try to describe what I do on a daily basis in a fairly generic way.
When I interact with agents, pragmatically what I'm doing is constraining and launching non-deterministic software generation/modification trajectories using natural language.
I think that's sufficient for me for now. It's also almost nothing like "management".
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Agents are accountable for nothing. Ultimately humans are still accountable for what they ship using agents - agents have no skin in the game. ↩︎