ctfhacker

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

ctfhacker

/// Example use of small atomic lock used in barbervisor
///
/// In this case, there are several cores using this same global
/// function and I needed to avoid a race condition
use core::sync::atmoic::{AtomicBool, Ordering};

// Init the lock to no one having taken it
const LOCK: AtomicBool = AtomicBool::new(false);

/// This function is globally available for all cores to call

ctfhacker

(ins)$ cat src/main.rs
#![feature(test)]
extern crate test;

#[cfg(test)]
mod tests {
    use test::Bencher;

    const TEST1: &str = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa<";

ctfhacker

(ins)$ cat src/main.rs
#![feature(test)]
extern crate test;

fn main() {
    println!("Hello, world!");
}

#[cfg(test)]
mod tests {

ctfhacker

[0x08048460]> iz~give me a size
vaddr=0x08048bbb paddr=0x00000bbb ordinal=001 sz=23 len=22 section=.rodata type=a string=Please give me a size.
[0x08048460]> axt 0x8048bbb
[0x08048460]> axt 0x08048bbb
[0x08048460]> ax
types=code.jmp,code.call,data.mem,data.string

ctfhacker

import subprocess
import md5 
import socket
import requests

start = '20150405'

url = 'http://{}.malwarehosting.com'

for append_num in xrange(16):