hoosieree
Joined 9 years ago
Joined 9 years ago
https://www.newstarget.com/2025-08-02-texas-ai-data-centers-...
This kind of corporate behavior is bad and will end up hurting somebody. If we're lucky the fallout will only hurt Nvidia. More likely it will end up hurting most taxpayers.
1d (train) - easy. just one lever
2d (car) - hard. super hard. why is it so crowded? who thought this was a good idea? you let teenagers do this?
2.5d (plane at takeoff or landing) - almost as hard as car. fewer pedestrians.
3d (plane flying) - easy even with all those extra levers
This constraint leads to symbol overloading. But careless, rampant overloading results in the same problem - too many things to remember. So you have to constrain your overloads.
With these constraints, if you want to design a practical, usable, general-purpose language (without forcing users to define every useful thing themselves), you have to choose composable abstractions. Prioritizing a single data structure (arrays) lets you focus your design effort and historically has good mechanical sympathy with the available computers, but there could just as easily be an "APL, but for associative maps" type language.
My point is "good terseness" comes from a holistic design approach, and simply making a bad language more terse will makes its flaws more obvious.
Over time I developed the opinion that LaTeX is an unnecessary tax on scientific progress. It's insanity to keep using it when HTML exists.
They want to ban states from imposing their own regulations on AI.
PhD in machine learning (2023), array language enthusiast, amateur luthier
website: alexshroyer.com
email: [email protected]