
hyperbolablabla
173 posts

hyperbolablabla
@hyperbolablabla
systems developer 🤖 .5f of https://t.co/CD3RXVyafP


you’ll get mad at me for saying this…but cloud gaming is so obviously more economically efficient than physical hardware I think it’s going to be the default soon. your home console / pc is idle 90%+ of the day. meanwhile, data centers targets what, 5%, maybe at worst 10% idle. every second a cloud gamer isn’t gaming, that hardware is being used for someone else, training, etc. I think there should be a new measurement, something like cost-per effective FLOP hour that takes into account the TCO + effective utilization. If a gamer spends $500 on a GPU, uses it for 3 years, but it’s only fully active ~5% of that period…the cost-per relative FLOP hour is crazy high! Meanwhile, a $50,000 datacenter GPU might have a *LOWER* cost-per FLOP hour just because the effective utilization is 90+%.

you’ll get mad at me for saying this…but cloud gaming is so obviously more economically efficient than physical hardware I think it’s going to be the default soon. your home console / pc is idle 90%+ of the day. meanwhile, data centers targets what, 5%, maybe at worst 10% idle. every second a cloud gamer isn’t gaming, that hardware is being used for someone else, training, etc. I think there should be a new measurement, something like cost-per effective FLOP hour that takes into account the TCO + effective utilization. If a gamer spends $500 on a GPU, uses it for 3 years, but it’s only fully active ~5% of that period…the cost-per relative FLOP hour is crazy high! Meanwhile, a $50,000 datacenter GPU might have a *LOWER* cost-per FLOP hour just because the effective utilization is 90+%.



ahahahahahahaha (it’s true)



@carlo_taleon @Alcanie1 @AvgDatabaseCEO @convex @supabase @PlanetScale @CockroachDB @tursodatabase similar architecture but there’s a gigantic skill gap between the esteemed Tigerbeetle team and these goons.


Is spacetime cool tech? Yes Are these good benchmarks? No I've done a lot of database benchmarking. It's fun. I like benchmarks! But these were poorly conducted. - So many missing details. What cache warming was done? What region was each database and client in? What were the underlying instance types? Are we benchmarking databases or network latencies? - Anyone create a narrow benchmark that makes a particular database look good. It's better to use widely-used standards (tpcc, sysbench workloads, etc) - AFAICT the spacetime requests are heavily pipelined vs the Postgres options. - Why does spacetime get a custom rust client (rust is fast!) and all the others have to run slow js clients with an ORM middleman over http/rpc? Ultimately it's a big case of apples-to-oranges. Again, spacetime seems like cool tech! But comparing it to a 3-node HA semi-sync pg cluster is... an interesting choice.




With 3 engineers, Kaizen went from 10K LOC committed per week in September, to 100k LOC in December, to 1M LOC this past week all with a background agent. No one on our team has opened an IDE in months.





Episode 113: @Jonathan_Blow on Programming Language Design! 🎉




std::optional is an amazing tool that simplifies many scenarios. See thread.












