And yes, the title was awful simonw!
And yes, the title was awful simonw!
How we distinguish warm va cold, idk
Why weren’t legacy companies given grandfathered pricing?
Maybe they can't? Fakespot authoritatively scores reviews but is there evidence that they are accurate? Anecdotally, there are many claims that the results aren't perfect, such as poor scores on a product where the seller knows there are no fake reviews. As a buyer the results on similar, shortlisted, products often seem a bit random compared to my judgement from reading the reviews carefully. Also, without knowing what reviews are identified and removed by amazon themselves we don't have much to compare it to.
Most recently amazon changed their review gathering algorithm in a way that increases the percent of customers who leave reviews. The acceleration in our review velocity is flagged by fakespot as suspicious.
These current models don't only want the icing (their returns on initial investment) but they want to eat their cake too; they're currently doing this because they can get away with it because their current competition, traditional VCs, is far worse - but once a new competitor comes in that only wants the icing but not the cake from the transaction, they'll lose out on potentially a lot of this deal flow.
Maybe there’s an effect of executive compensation, but the standard narrative on buybacks is tax avoidance
I think good context engineering will be one of the most important pieces of the tooling that will turn “raw model power” into incredible outcomes.
Model power is one thing, model power plus the tools to use it will be quite another.