Blog post: https://blog.aheymans.xyz/post/hugo-emacs-theme/

Comments URL: https://news.ycombinator.com/item?id=46859529

Points: 3

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=46536753

Points: 11

# Comments: 3

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.)

Comments URL: https://news.ycombinator.com/item?id=45687053

Points: 5

# Comments: 0

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

    @spec m9(integer()) :: integer()

Comments URL: https://news.ycombinator.com/item?id=44374067

Points: 3

# Comments: 0

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.

Comments URL: https://news.ycombinator.com/item?id=43523484

Points: 4

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=43237379

Points: 3

# Comments: 0