Earlier quoted context omitted.
> The prediction was early, overestimated how long of a tail RIM would experience, but how wrong was it? Was the prediction of some utility? Wrong enough that the utility is seriously diminished. Predicting a specific quantity dropping to a specific level at a specific date is a lot more valuable than saying “those guys are cooked”. And even if some minuscule utility existed: why should predictors be so coddled by th…
I think this is a legit read about the utility. > why should predictors be so coddled by their observers? I suppose that in the RIM example the predictor correctly identified causes and concerns. The timelines are off. But highlighting the causes are interesting to me, as a datapoint. If someone says "hey there's a problem here", you can somewhat independently look at the problem and validate its seriousness on your…
In 2024, if Ed Zitron presented all his analysis of AI companies without the specific “model capabilities have peaked this year” style statements that Dan Luu scrutinized, that would be more honest and provide the value you are looking for.
Similarly for the RIM example nobody would have to claim that RIM would fail in a particular year, or that “RIM is cooked”, they could present their data about the present without any projection.