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not necessarily, no. With SSDs you get much better IOPS for cold data, and many datasets fit in RAM. So a lot of (OLTP/HTAP) workloads can become CPU-bound due to sorting/hashing - bread and butter of joins.

Though many use network block storage (e.g. EBS), which is significantly slower than an SSD.

yes, if you control the clients and do client-side pooling.


The book is a companion to Machine Learning Systemshttps://mlsyscourse.org/ CMU course.


There's been many examples of societies where killing or abusing people was legal etc. Law is not math, it can be (and often is) wrong; in many cases a law is just a way for ruling class to make money/keep power etc. It's completely OK to protest laws, and it may be completely reasonable to consider someone a criminal even if they haven't broken any laws.


claude code easily uses 10+GB in single session :) 1Gb sounds very efficient by comparison


almost all Spotify playlists/radio features are extremely stupid. Radios all repeat the same 2-3 songs per artist, doesn't matter where you start. Classical pieces in radios are always 1-2 minutes long etc etc. It was like before AI though.


CLUSTER command is not the same as index organized tables, it's a one-time "physical sort" operation. New data is not organized until you run CLUSTER again. Index organized tables are maintained automatically by Oracle/SQL Server.


Not just maintained automatically, clustered indexes have no heap at all, the table is an index.

The CLUSTER command in PG just moves rows around in the heap so they match the still separate index order which can help a little bit with range operations because rows are close on disk, but otherwise doesn't do much.

So they are completely separate things that just happen to use the same term.


Interesting, i didnt know that. Thanks!


Not saying you're wrong, but solo developers building (relatively) greenfield projects are the best bet for increased AI productivity.

Solo dev projects are usually reasonably sized (< million LOC), style is more uniform, there's fewer silos etc. etc.

Good studies look at a broader picture.


It’s a very good point. I have full control and everything is incredibly uniform, and more recently designed with agents in mind. This must make things significantly easier for the LLM.


isn't this template supposed to mean that all the previous considerations are now obsolete?


I guess you could argue that the standard LLM sentence structure is too robotic but prompting mostly fixes that.

The rest is no longer true, indeed


It's web in a (limited) sense that there's probably a web frontend somewhere, but this "somewhere" is usually pretty far away from where most of the code is developed.

Most of the backend logic is not related to serving data for the browsers, it's doing actual backend stuff - communicating to databases, APIs, etc.

Is Google search backend a web app? I think it's really stretching the term.


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