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I'm not saying people should be able to tell the difference, nor am I discounting the value of the final outcome. Just that pitching an app as ML-driven, when
by TuringNYC 10y ago
I'm not saying people should be able to tell the difference, nor am I discounting the value of the final outcome. Just that pitching an app as ML-driven, when it is barely 1% ML-driven is deceptive and mis-informs the public.
Consider taking the side mirror from a Ferrari, putting it on a Ford Escort, and then pitching the Ford Escort as a race-car. The Ford Escort may be a great family car, but it is not a sports car. People who don't know the difference might come to think of it as a sports car, and might even question the wisdom of spending money on a Ferrari.
- dragonwriter 10y agoIf that 1% is essential to the purpose of the app, it seems reasonable no matter what % of the code of the app it represents.
- TuringNYC 10y agoGoing along with my racecar example...the side view mirrors are essential...so does that make the Ford Escort a racecar?
- dragonwriter 10y agoThe analogy doesn't work, because "racecar" isn't a technology used in the side mirrors.
- erkkie 10y agoI get (and perhaps even agree) to the sentiment, logically at least, but realistically all marketing is deceptive. It's pragmatically more useful to understand the how's and why's of that and play along.