What I want to discuss is how TikTok’s design helps its algorithm “see.” 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. Last time I discussed why the FYP algorithm is at the heart of TikTok’s flywheel, but if the algorithm wasn’t effective then the whole feedback loop would collapse.

In this post, I want to discuss exactly how the design of TikTok helps its algorithm work as well as it does. This is the type of deal that I would have thought could only happen in Succession, but even in that satire it would seem hyperbolic.

But it won't surprise me one bit if we find out even more bizarre details over the next week. And instead of writing any introduction that would become instantly outdated, I'll just leave this sidenote here to say that as of publishing this entry, it seems Oracle will take over the TikTok cloud computing deal while also joining Wal-Mart and some VCs in assuming some ownership stake in TikTok Global. I kept holding off on publishing this piece because every day seemed to bring some new development in the possible ban of TikTok in the U.S. It is the bus on its motherboard that connects and closes all its feedback loops.īut in the breathless rush to understand why companies might want to acquire TikTok, should ByteDance be forced to divest itself of the popular short video app, the hype around its algorithm has taken on a bit of exoticization that often characterizes Western analysis of the Chinese tech scene these days. In my previous post on TikTok I discussed why its For You Page algorithm is the connective tissue that makes TikTok work.

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