sari

We used to harvest huge amounts of natural ice and ship them long distances. The first machines to make ice were dangerous and expensive and made lousy ice. Then the machines became good and nobody harvests natural ice anymore.

In this analogy, LLMs are bad at first and don’t have much impact. Then they improve to match and then exceed human

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Data is transparent. That also means it’s public. While accounts are pseudonymous, users may take actions that accidentally leak their identities when they don’t intend to. Adding to the challenge, transactions are irreversible, which puts even more burden on the user to not make mistakes. In the Web3 world, users can’t call their credit card... See more

The answer, I believe, has significant implications for the future of cross-border tech competition, as well as for understanding how product developers achieve product-market-fit. The rise of TikTok updated my thinking. It turns out that in some categories, a machine learning algorithm significantly responsive and accurate can pierce the veil of... See more

Make your future so irresistible,

it becomes inevitable.

Facebook, again, is the extreme example here: the service got started with user-generated content and has continually retrenched over the last few years to have more user-generated content and less professionally produced content; every time they have done so, publishers have cried foul over all of the traffic they were losing. Google, meanwhile,... See more

This is attention to detail. Care in design. Follow through in customer service. This is an embrace of elegance and wabisabi and the opposite of laziness. This is bringing care (which is rare and precious) to work even if most people would look for a shortcut instead.

I think the core, critical sin was choosing the advertising model to begin with. Brand advertising is not like direct advertisement, which is more programmatic. It requires something like a Disney to essentially give you a favor, because the only players that matter to them are Google and Facebook. Snapchat, Twitter, everything else did not matter.... See more