Sixian

So let's use video because I just think it's a great example. If you think about music and how you consume music, you actually consume catalog product a lot. I certainly do. And I think most consumers do. Songs that I've listened to once, I will listen to again and again, and again, at some point. With video, that's less the case. Once I watch... See more

The “conversational web”. A web obsessed with arguing points. A web seen as a tool for self-expression rather than a tool for thought. A web where you weld information and data into your arguments so that it can never be repurposed against you. The web not as a reconfigurable model of understanding but of sealed shut presentations. And a web that... See more

What happens online often shows up in the headlines weeks, months, or even years later. The internet has become the petri dish of culture — the soil in which new movements and novel conversations find root.

But I do think work can be a source of real meaning in life. But, we’ll only ever get out what we put in. And in the case of work life, it is kind of a collective decision. Once your neighbor starts signing off Slack at 3:30 consistently, it’s hard not to do the same. If your closest collaborators don’t turn stuff around quickly, why would you? If... See more

And as Apple’s marketing material demonstrates, this is no accident. iPhone adverts are strange: they make the phone a body. They borrow a visual language less from sci-fi or action movies than from erotica. Devices are shot in extreme close-up, almost always dimly lit. A beam of light traces across a surface so smooth that it occupies a space... See more

If the hero’s journey is descended from the campfire brag, and the carrier bag novel from workplace gossip, blogging is descended from trolling.

Data network effects can be built and data can be used to create defensibility. So how do you actually do it? There are at least three broad approaches to using data to give your product an advantage.1. Data network effects2. Data scale3. Data embedding

In practice, most of the valuable insights you will glean from a scaled-up dataset in a particular domain will come early on. More data just confirms those insights. Further, the number of insights that will matter enough for customers to pay you or choose you over other providers is typically small. So data scale can give you these early 1-3 key... See more