Techno-utopist. Sounds like a tech-bro who wants to see capitalism end.

Robotics. Open Source. Machine learning. Self-improving algorithms. Self-building robots. Hackerspaces.

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Cake day: March 25th, 2025

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  • When you make an urban park, you have to accept two things though. First, locally the city becomes more expensive. And second, it will occupy more space over potentially natural zones (over suburban area actually, that themselves will grow over peri-rural, that will push these, etc.)

    If your goal is wildlife preservation or carbon capture, you probably want one more hectare in a forest rather than an hectare in a park inside a city.

    Don’t get me wrong, I wanted more trees when I was living in a city. But the choice is between livable big cities or trying to make the cities as small impact as possible.





  • Well, if you assume that the air recycling will be done by plants, you are going to have a need for a huge biosphere and probably for a lot of oceanic biome. If you plan on having an agriculture, if you plan on having pollinating insects, you are going to need a huge biomass.

    You’re going to have far more nature than you will have humans.

    This setting usually assumes that you have a fast transport network built in the core infrastructure. So being spread out is less of a problem, especially if you have free electricity through solar panel. That means that moving stuff around on electric motor is going to be basically free.




  • Just to know if you are not aware, you are putting a penny in a hot debate in the free software community on which license is the more open, is the best.

    The MIT is clearly the most permissive because it allows you, among other things, to just run with the software and close it, adding your modification and sell it without sharing source.

    Afero GPL prevents you from selling the software or even selling services that run the software without sharing/publishing it.

    In a MIT->AGPL swap you will find people who consider it a step into being closer to free software ideals and people who consider it getting further away from it.







  • The CUDA version is what matters the most (assuming you are on NVidia). Later CUDA versions have optimizations that earlier don’t, this may in turn dictate the actual driver version you can use.

    I guess some models will simply deactivate some optimizations if you don’t have an appropriate version, though I mostly am aware of them failing in that case :-/

    If you compare a model running on CUDA 11 vs a model running on CUDA 12, people may point out that it could be unfair, though this is generally nitpicky.

    If you are worried about your perfs not being optimal, look in the log for messages like “<fast attention scheme XYZ> was deactivated because <cudaSuperOptimizedMegaSparseMatMult> was not available”