Rohit Goswami HaoZeke

Exporting your 2FA tokens from Authy to transfer them into another 2FA application

IMPORTANT - Update regarding deprecation of Authy desktop apps

Past August 2024, Authy stopped supported the desktop version of their apps:
See Authy is shutting down its desktop app | The 2FA app Authy will only be available on Android and iOS starting in August for details.

And indeed, after a while, Authy changed something in their backend which now prevents the old desktop app from logging in. If you are already logged in, then you are in luck, and you can follow the instructions below to export your tokens.

If you are not logged in anymore, but can find a backup of the necessary files, then restore those files, and re-install Authy 2.2.3 following the instructions below, and it should work as expected.

gulp watch fails with error: Error: watch ... ENOSPC

Stacktrace:

[13:58:28] Starting 'watch'...
[13:58:28] 'watch' errored after 22 ms
[13:58:28] Error: watch /.../resources/assets/images/ ENOSPC
    at exports._errnoException (util.js:1023:11)
    at FSWatcher.start (fs.js:1306:19)
 at Object.fs.watch (fs.js:1331:11)

what is rust (baby don't hurt me)

(Hosting in a fake-blog for now until i get back to the computer with the blog files on them >_>)

I've seen a fair amount of discussion recently about what Rust's greatest "selling point" is. This was sparked by Steve Klabink's article about how Rust should be about ["more than safety"][safety]. There have been responses about how the community is top-notch, or how the titular safety allows people to feel empowered to write lower-level software than they had previously thought they were capable of. I'm going to add more words to the pile about a somewhat related point.

	## Sublime Text 3 Serial key build is 3103

	—– BEGIN LICENSE —–
	Michael Barnes
	Single User License
	EA7E-821385
	8A353C41 872A0D5C DF9B2950 AFF6F667
	C458EA6D 8EA3C286 98D1D650 131A97AB
	AA919AEC EF20E143 B361B1E7 4C8B7F04
	B085E65E 2F5F5360 8489D422 FB8FC1AA

	import numpy as np


	class GEPP():
	"""
	Gaussian elimination with partial pivoting.

	input: A is an n x n numpy matrix
	b is an n x 1 numpy array
	output: x is the solution of Ax=b

	% FontAwesome Pro 5.0.0-beta.6 (https://github.com/FortAwesome/Font-Awesome-Pro)
	% bindings for XeLaTeX.
	%
	% Author: Honza Ustohal <[email protected]>
	% (https://gist.github.com/sway/3101743)
	%
	% Updated for FontAwesome 5 by Daniel P. Shannon <[email protected]>.
	%
	% Translation of FontAwesome's private range characters into XeTeX symbols. All
	% icons are camel-cased and prefixed with 'fa', i.e. what was .fa-address-book

	'''
	A Dynamic Recurrent Neural Network (LSTM) implementation example using
	TensorFlow library. This example is using a toy dataset to classify linear
	sequences. The generated sequences have variable length.

	Long Short Term Memory paper: http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf

	Author: Aymeric Damien
	Project: https://github.com/aymericdamien/TensorFlow-Examples/
	'''

	import Base: TwicePrecision, significand_bits, significand_mask, exponent_mask, exponent_bias

	# Bits of 1/2π
	# 1/2π == sum(x / 0x1p64^i for i,x = enumerate(INV2PI))
	# Can be obtained by:
	#
	# setprecision(BigFloat, 4096)
	# I = 0.5/big(pi)
	# for i = 1:19
	# I *= 0x1p64

	#!/bin/bash

	echo "Start Export Process"

	echo "Log into Keybase..."
	keybase login

	echo "Exporting your PGP keys..."
	keybase pgp export -o keybase.public.key
	keybase pgp export -s -o keybase.private.key

	{% comment %}
	#
	# This is a nested liquid loop for Jekyll to iterate through YAML data with
	# a depth of three levels. The example loops through a potential table of
	# contents of a book.
	#
	# This is the example YAML content'

	- chapters: 'Einführung'
	sub_chapters: