Search was full of low-hanging fruit. TF-IDF was well-known. PageRank less so but when the nascent internet has so much signal-to-noise it’s often hard to go wrong. Execution was key—- especially compute efficiency—- but a lot of those are nerdy problems detached from real people. Which is wear Google does well.
Stadia was a rich technical problem with an application area that’s accessible to Googlers. Even if Googlers don’t video game, real life is a game to them. But Stadia failed because it lacked the artistic passion behind Nintendo and the best gaming studios.
If Google set themselves up like McKinsey—- i.e. turn their engineering workforce into a contracting service—- then Google might be able to contribute to a real product. But Googlers just don’t care about people. They care about puzzles and systematicity.
Google is known for launching and then soon killing its projects, and game platforms are built on long term trust and momentum. That's why Stadia never got the momentum it needed.
>Search was full of low-hanging fruit. TF-IDF was well-known. PageRank less so but when the nascent internet has so much signal-to-noise it’s often hard to go wrong.
PageRank actually originates from Economics[0] where Input–output model tells you that you need to care about balancing inputs and outputs in order to have an efficient economy. Speaking of internet search engines and ranking websites inputs would be links(backlinks) and outputs would be ranked web documents.
Stadia was a rich technical problem with an application area that’s accessible to Googlers. Even if Googlers don’t video game, real life is a game to them. But Stadia failed because it lacked the artistic passion behind Nintendo and the best gaming studios.
If Google set themselves up like McKinsey—- i.e. turn their engineering workforce into a contracting service—- then Google might be able to contribute to a real product. But Googlers just don’t care about people. They care about puzzles and systematicity.