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Joined 1 year ago
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Cake day: September 7th, 2023

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  • Yes, thankfully the reasonable tech companies offering these services have decided to stop the training process after it was done once. The insane increase in energy consumption and hardware manufacturing for datacenter components and accelerators is purely coincidental and has nothing to do with demand for gimmicky generative AI services. Let’s also conveniently ignore the increasing inference cost of more complex models, while we’re at it.




  • I wouldn’t recommend Docker for a production environment either, but there are plenty of container-based solutions that use OCI compatible images just fine and they are very widely used in production. Having said that, plenty of people run docker images in a homelab setting and they work fine. I don’t like running rootful containers under a system daemon, but calling it a giant mess doesn’t seem fair in my experience.



  • XML aims to be both human-readable and machine-readable, but manages neither. It’s only really worth it if you actually need the complexity or extensibility, otherwise it’s just a major pain to map XML structures to any sensible type representation. I’ve been forced to work with some of the protocols that people like to present as examples of good XML usage and I hate every single one of them.

    Fuck YAML though. That spec is longer and more complex than any other markup language I know of and it doesn’t have a single fully compliant implementation.





  • C has not aged well, despite its popularity in many applications. I’m grateful for the incredible body of work that kernel developers have assembled over the decades, but there are some very useful aspects of rust that might help alleviate some of the hurdles that aspiring contributors face. This was not a push by rust evangelists, but an attempt to enable modernization efforts at least for new driver development. If it doesn’t work out, that’s fair enough but I’m grateful for the willingness - especially of Linus - to try something new.






  • The whole premise of this discussion was about technological progress and growth going by your initial comment. That means refining existing models and training new ones, which is going to cost a lot of energy. The way this industry is going, even privacy conscious usage of open source models will contribute to the insane energy usage by creating demand and popularizing the technology.