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Discussion (15 Comments)Read Original on HackerNews
When I look back in my career, I'm having trouble finding the person who complained a lot who was actually right in the long run.[1] They vastly outnumber the ones worth listening to.
[1] Or rather, they were technically correct but whatever they were complaining about wasn't as big a deal as they made it out to be, and ignoring them was OK.
You could train a model to just read the group discussion and say plausibly sounding things. But if its input is just the group discussion and, as the post suggests, git history and competitor web searches, you can disagree, but you can’t have the orthogonal mental model that produces the “you’re not even wrong” style responses that corporate Cassandras produce. You’d need an AI that actually does the work and maintains private opinions it doesn’t reveal to its prompters.
More importantly, this post seems to ignore the real role of politics. It’s true the bot itself doesn’t have a promotion to worry about. But if its goal is influence, then it will need to take into account the reactions and unpopularity of its ideas. Or if not, it will get itself ignored or turned off. Politics is just how decisions happen, not a problem that goes away!
This is true, in terms of personal risk, but it also misses something subtle I think I have observed in the last ~year or two. I have been a nag on issues for years to be ignored or dismissed without even really listening before an AI flags the exact same thing by the exact same person I've told this to a dozen times, and they act like it's some profound new discovery that must be acted on immediately.
I thought it was my delivery style, or maybe bad communication, but I've noticed this same thing with a handful of other people too, with myself entirely out of the loop.
We talked about it, and what I think it is, is a human ego/relationship thing - being told something is wrong or bad or pointing out 'negative' things requires the other party to concede something, and the mental effect is they feel they 'lost' something (the argument, political capital, ego, whatever) to the cassandra party. You can quietly and privately concede to an AI's criticism without feeling that way, and even better for some types, claim the idea as your own if you want, so it's much more receivable. The AI will also explain the issue with infinite patience and ego-coddling.
The worst is when everyone privately acknowledges that the idea won't work but because leadership has committed everyone has to march on to the failure point.
I have yet to see one of these Cassandra's to be proven wrong too.
Completely distracted from whatever point the author is making.
I would pair this with Bezos's concept of one-way doors. If a decision is a two-way door, i.e., you can reverse the decision at low cost, then you don't need a Cassandra--just try it and see. It's only one-way doors that need a Cassandra.
ETA: This also reminds me of the Tenth-Man Doctrine, which I only learned from World War Z.
Corporate culture is especially nearly designed to never give Cassandras the time of day.
Why wouldn't people just write the agent off as 'broken'? Would this agent learn to keep most of it's responses to itself or end up actually broken/drifting as a result of having good advice ignored?
No one wants to be lectured by a clanker when they're just trying to banter.