Few people care more about performant code than @cmuratori.bsky.social. Casey is a down-to-earth programmer, game dev, performance nerd. A refreshing episode about why the basics (still) matter, and why learning to read Assembly remains useful for anyone who cares about performance: (cont'd)
I also see people attacking major product categories now with performance-based pitches. Things like File Pilot or the Blick video editor, like things like this that have been coming out lately where it's like, oh, really performant software to try to take on uh incumbents in a space and they've been getting traction.
There is something highly refreshing about the way Kling offers his own consistent old school economic libertarian perspective, takes his time responding to anything, and generally tries to understand everything including developments in AI from that perspective.
The Rattle Bag edited by Seamus Heaney and Ted Hughes - In an age of LLM-generated poetry and machine learning curation (even coming from yours truly sometimes), it's refreshing to have real people who love poetry curate it and show you what you need to read to touch grass.
It’s always harder to write software for more specialized hardware. A GPU is pretty generic. If you can’t write an in Nvidia stack, there’s no way you can write a stack for your chip. My approach with Tinygrad is first write a performant NVIDIA stack.
While we love GraphQL for many use cases, implementing a secure and performant GraphQL API can be tricky and there is a definite cost to requiring it during early prototyping of your app.
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