Check out my open source game engine! https://strayphotons.net/ https://git.sw0.com/frustra/strayphotons

I have been developing this engine on and off for over 10 years, and still have big plans.

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Joined 3 years ago
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Cake day: July 9th, 2023

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  • All packages published to the arch linux repository are free software that can be built from source and have permissive licenses. Non-free software such as nvidia drivers and other things are distributed separately through the AUR, and aren’t managed by the Arch Linux team.

    I would consider the collection of software provided to be no different than any other OS with optional packages. There are several forks of Arch Linux like EndeavourOS that have more complete defaults.



  • I had to look these up, and it looks like it’s Adaptive Cruise Control (regular distance based), and Intelligent Cruise Control (ACC + lane keeping). Most likely it switches between if it can’t find the road lines.

    I only have ACC in mine, and there’s still situations where I turn it off like in heavier traffic. It reacts too slowly so it ends up braking harder than it needs to, and then waits to accelerate and leaves a huge gap. It effectively makes traffic worse than if I drive manually.

    I’ve also turned the lane departure system to warning-only because I’ve had it try to push me off the road before while I was towing a trailer. On narrow windy roads, it’s basically required to hug the lines so I don’t end up clipping trees with the trailer.





  • I guarantee you the microcontroller that handles the wifi is 10x more powerful than what would be required to just run an offline schedule. There’s no processing involved… It’s not like this is using a camera + AI to see if your cat is too fat.

    Edit: I just looked up this model and its actual features… it’s not that far off, since it seems to run image recognition to tell when the cat is eating. If they’re streaming video back to the cloud for processing, that sounds even worse than what I was expecting. It would be entirely possible to run a small image recognition model locally in a product like this.

    There are much simpler solutions like the ones that detect a chip in the pets collar (or the embedded id chip most pets have)




  • Well, the data we do have is that the flight was just under 30 minutes and very likely under 100 miles.

    From the Wikipedia on airline fuel efficiency:

    The worst-performing flights are short trips of from 500 to 1500 kilometers because the fuel used for takeoff is relatively large compared to the amount expended in the cruise segment, and because less fuel-efficient regional jets are typically used on shorter flights.

    In the example values table, the most efficient plane for a 560km trip burns 0.92 kg of fuel per km, so doing some rough math and assuming the electric plane travelled 100 miles, that would be roughly 148kg of fuel, or 50 gallons (190L).

    At current jet fuel prices ( $3.76/gallon ) that’s about $188 US in jet fuel as a rough estimate. It’s unclear if the test flight went up to full altitude or if the plane was at full weight, so a fair comparison might have used even half as much jet fuel.

    Edit: From some of the other comments, it seems like they might have only considered flight time as cruising time, not takeoff and landing, so my numbers will be quite far off if that’s the case. My gut feeling is that this is probably the case, because this seems like too big a difference otherwise.