Sublime

It’s ultimately a math question: are you more likely to find compelling content from the few hundred people in your social network, or from the millions of people posting on the service? The answer is obviously the latter, but that answer is only achievable if you have the means of discovering that compelling content, and, to be fair to both Facebo... See more

In addition, perhaps there is a general limit to how far a single feed of random content arranged algorithmically can go before we suffer pure consumption exhaustion. Perhaps seeing curated snapshots from everyone will finally push us all to the breaking point of jealousy and FOMO and, across a large enough number of users, an asymptote will emerge... See more

Take this paragraph: it is just assumed that Google and Facebook ought to be paying publishers for their content, but any sort of rational evaluation would suggest that money should flow in the opposite direction. Google and Facebook direct traffic to publishers, and in Facebook’s case in particular, that traffic comes from the publishers themselve... See more

Understanding how the algorithm achieves its accuracy matters even if you’re not interested in TikTok or the short video space because more and more, companies in all industries will be running up against a competitor whose advantage centers around a machine learning algorithm.