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zbendefy

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zbendefy
·12 日前·議論
What harness are you using?
zbendefy
·先月·議論
Maybe we would get a microphone on mars. Just kidding i know air pressure is vastly different, but still it would be cool to listen to ambient sound from there
zbendefy
·先月·議論
Good point!

There is also the case for Markov chains being theoretically able to do these if tuned well. Or even SAT problem.
zbendefy
·5 か月前·議論
This reminds me of stuff like interns wiping the production servers.

The solution in the comments there is always "have backups" and "why can an intern do that stuff? why arent policies set".

But I dont think these can be applied to something like openclaw agents
zbendefy
·6 か月前·議論
I did the same with an rpi3, not sure if I used this guide but it seems good:

https://www.raspberrypi.com/news/printing-at-home-from-your-...
zbendefy
·6 か月前·議論
i think so. The biggest hurdle with new languages is that you are cut off from a 3rdparty library ecosystem. Being compatible with C 3rd party libraries is a big win.
zbendefy
·6 か月前·議論
Tangential, but Flash had a nice side effect that the "app" could be exported in a self contained way via SWF.

Exporting this site for example in a future proof way is not that obvious. (Exporting as pdf wont work with the webgl applets, exporting the html page might work but is error prone depending in the website structure)

50 years from now, flash emulators will still work on swf files, but these sites might be lost. Or is there a way to archive sites like this?
zbendefy
·7 か月前·議論
>The user writes the data to CPU mapped GPU memory first and then issues a copy command, which transforms the data to optimal compressed format.

Wouldnt this mean double gpu memory usage for uploading a potentially large image? (Even if just for the time the copy is finished)

Vulkan lets the user copy from cpu (host_visible) memory to gpu (device_local) memory without an intermediate gpu buffer, afaik there is no double vram usage there but i might be wrong on that.

Great article btw. I hope something comes out of this!
zbendefy
·7 か月前·議論
What has changed now in the memory landscape/ai workload in the recent months compared to summer or spring?
zbendefy
·8 か月前·議論
there is also a vr mod for HL1 as well
zbendefy
·9 か月前·議論
My takeaway is that sandboxing should be more readily available, and integrated into the OS.

I used sandboxie a while ago for stuff like this, but afaik windows has some sandbox built into it since a few years which I didnt think about until now.
zbendefy
·10 か月前·議論
Why not get the wifi enabled fridge and just not hook it up to your router?

Genuinely asking because I plan to do this once I have to get new appliances, is there something missing that way?
zbendefy
·10 か月前·議論
Thing is (correct.me if Im wrong), that if you use modules, all of your code need to use modules (e.g. you cant have mixed #include <vector> and import <vector>; in your project). Which rules out a lot of 3rd party code you might want to depend on.
zbendefy
·3 年前·議論
My own gpu accelerated neural network trainer using backpropagation: https://github.com/zbendefy/machine.academy