My home "servers" don't do much but 8 GB or 16 GB of RAM is enough them, for now (Linux).
1,246 karma · joined February 21, 2007
[ my public key: https://keybase.io/self; my proof: https://keybase.io/self/sigs/wb2KGPaXzKP1Z0qVz7tbJjxUFqoVqQsypwsabV4tgec ]
My home "servers" don't do much but 8 GB or 16 GB of RAM is enough them, for now (Linux).
ublock origin lite is on the app stores (both mac and i-devices), and works reasonably well.
https://apps.apple.com/us/app/ublock-origin-lite/id674534269...
- https://milkv.io/jupiter2-dev-kit
More here: https://redd.it/1tcrx4o
$300/launcher here: https://www.un.org/depts/los/nippon/unnff_programme_home/fel...
A decade ago it wasn't terrorist groups funding them.
Yes. I follow several remote users who default to "unlisted" posts. (To be honest, I don't know if they're unlisted or follower-only posts -- I can't tell.)
https://gist.github.com/faried/6955a992c6d68362fd1e07a1cd575...
- go to https://developer.spacemit.com/
- click on documentation
- click on Keystone
- click on K1
defmodule Multiply do
def m9(m1), do: m1 * 9
end
# elsewhere...
defmodule Caller do
def doit() do
Multiply.m9(2)
Multiply.m9("hi")
end
end
It won't raise an exception or give you a warning while compiling it (tested with 1.18.4). Even adding @spec m9(integer()) :: integer()
above its definition doesn't do anything.Any web server that serves static files will do (like "python3 -m http.server").
To use the full Lively interface, start here: https://www.lively-kernel.org/development/
It also says 320 KB of ROM, which seems low. Judging from the product name (DevKitC-1-N8R4) and their other products, it has 8 MB of flash.
https://arxiv.org/abs/2503.19058
> The continuous increase in malware samples, both in sophistication and number, presents many challenges for organizations and analysts, who must cope with thousands of new heterogeneous samples daily. This requires robust methods to quickly determine whether a file is malicious. Due to its speed and efficiency, static analysis is the first line of defense.
> In this work, we illustrate how the practical state-of-the-art methods used by antivirus solutions may fail to detect evident malware traces. The reason is that they highly depend on very strict signatures where minor deviations prevent them from detecting shellcodes that otherwise would immediately be flagged as malicious. Thus, our findings illustrate that malware authors may drastically decrease the detections by converting the code base to less-used programming languages. To this end, we study the features that such programming languages introduce in executables and the practical issues that arise for practitioners to detect malicious activity.
i've used https://www.jwz.org/xscreensaver/ for over a decade on macos (currently on 15.3).
It walks you through implementing microkanren in Ruby. You might find it easier to implement all of that in gdscript.
To make it easier for humans to read/write the queries.
we unleash the world's most powerful graphics technology: https://web.archive.org/web/20230117073114/http://web.mit.ed...
You connect, sit around with all the other players -- and not say anything. The high score was for staying connected and idle the longest.
Occasionally, the mud will say something. Resist the urge to reply; it'll lower your score, and if you type too often/much, you get kicked off.
Every so often, though, it'll ask you something. If you don't respond within a time limit, you get kicked off.
Its website, where you can download a copy of the database under a LambdaMOO server: https://web.archive.org/web/19971011224937/http://www.zennet...