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Secure AI Communication

The application of this innovative technology for secure artificial intelligence communication is profound and far-reaching. Imagine a scenario where one can interact with an AI system, altering its programming directly through the AI interface, yet the AI remains incapable of compromising or altering its own core programming. This level of security is achieved by replacing traditional zero-knowledge proofs with a novel encryption method that leverages random noise and advanced quantum mechanical principles.

At the heart of this technology is the use of random noise to create a secure encryption channel between humans and machines. By utilizing perfectly random entropy sources, the system generates cryptographic keys and primes that are inherently unpredictable, even to the most advanced super quantum computers. This unpredictability stems from the fundamental limitations of physical space-time, making it computationally infeasible for any entity to crack the encryption through b

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counting CSS

A Pen by Dylan Rosario on CodePen.

License.

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import SwiftUI
import WebKit

enum WebViewError: Error {
    case contentConversion(String)
    case emptyFileName
    case inivalidFilePath
    
    var message: String {
        switch self {

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# Example using xxd to read a byte at a specific offset from a binary file
xxd -p -l1 -s 100 file.bin  # Read one byte (-l1) at offset 100 (-s) from file.bin

# Using xxd to handle hex offsets and output in decimal format
echo $((16#$(xxd -p -l1 -s $((16#FC)) file.bin)))  # Convert the output of xxd from hex to decimal

# Example using dd to dump raw data
dd if=file.bin seek=$((16#FC)) bs=1 count=5 status=none  # Dump 5 bytes from file.bin starting at hex offset FC

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#
# Nginx reverse proxy to Google Search (with images and webcache))
#
# Credit:
# * Nginx rewrite append a parameter at the end of an URL
#   https://serverfault.com/a/311660/387898
# * https://github.com/tracycool/Reverse-Proxy-for-Google
# * https://github.com/caiguanhao/nginx-bypass-gfw/blob/master/google.conf
#
# References:

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//
//  RecordAudio.swift
//
//  This is a Swift class (updated for Swift 5)
//    that uses the iOS RemoteIO Audio Unit
//    to record audio input samples,
//  (should be instantiated as a singleton object.)
//
//  Created by Ronald Nicholson on 10/21/16.
//  Copyright © 2017,2019 HotPaw Productions. All rights reserved.

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Polynomial Ring and Ideal Lattice in JavaScript

Given the mathematical concepts of Polynomial Ring and Ideal Lattice, we can implement them in JavaScript.

Definitions:

1. Polynomial Ring: A polynomial ring is a set of polynomials in one or more indeterminates with coefficients in another ring,
2. often a field. The polynomial ring, $$( K[X] )$$, in ( X ) over a field ( K ) can be defined as the set of expressions,
3. called polynomials in ( X ), of the form: $$[ p = p_m X^m + p_{m-1} X^{m-1} + ... + p_1 X + p_0 ]$$

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# Make sure you have Anaconda installed
# This tutorial assumes you have an Nvidia GPU, but you can find the non-GPU version on the Textgen WebUI github
# More information found here: https://github.com/oobabooga/text-generation-webui

conda create -n textgen python=3.10.9
conda activate textgen
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
git clone https://github.com/oobabooga/text-generation-webui
cd text-generation-webui
python -m pip install -r requirements.txt

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# this tutorial assumes conda and git are both installed on your computer

conda create -n tg python=3.10.9
conda activate tg
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
git clone https://github.com/oobabooga/text-generation-webui.git
cd text-generation-webui
pip install -r requirements.txt

# GPU only:

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