Accounts used so far: 6 (1500 reverse IP checks).
Their historic DNS and reverse DNS info was very valuable, and served as Ciro's the initial entry point to finding hits in the IP ranges given by Reuters.
Generic information about the website not specific on this project will be stored at: Section "viewdns.info".
Since this source is so scarce and valuable, we have been quite careful to note down all the domain and IP ranges that have been explored.
At news.ycombinator.com/item?id=38496244, the creator of the viewdns.info, "Hughesey", also stated that he'd able to give some free credits for public research projects such as this one. This would have saved up going to quite a few Cafes to get those sweet extra IPs! But it was more fun in hardmode, no doubt.
We do API access to IP ranges with this simple helper: ../cia-2010-covert-communication-websites/viewdns-info.sh, usage:
./viewdns-info.sh <apikey> <start-ipv-address> <end-ipv-address>
e.g.:
./viewdns-info.sh 8b890b00b17ed2d66bbed878d51200b58d43d014 66.45.179.187 66.45.179.210
For domain to IP queries from the API you should use "iphistory" viewdns.info/api/docs/ip-history.php:
curl 'https://api.viewdns.info/iphistory/?domain=todaysengineering.com&apikey=$APIKEY&output=json'
Just beware of the viewdns.info reverse IP bug, that really sucks and led to us missing a ton of domains.
Chicago Pile-1 by Ciro Santilli 37 Updated 2025-07-16
Video 1.
Getting funding for the Chicago Pile Edward Teller interview by Web of Stories (1996)
Source.
Video 2.
German graphite from The Genius Behind the Bomb (1992)
Source. Graphite was expensive because it had to be boron-free, since boron absorbs neutrons. But a boron process was the main way to make graphite. This type of pure graphite is known as nuclear graphite.
activatedgeek/LeNet-5 by Ciro Santilli 37 Updated 2025-07-16
This repository contains a very clean minimal PyTorch implementation of LeNet-5 for MNIST.
It trains the LeNet-5 neural network on the MNIST dataset from scratch, and afterwards you can give it newly hand-written digits 0 to 9 and it will hopefully recognize the digit for you.
Ciro Santilli created a small fork of this repo at lenet adding better automation for:
Install on Ubuntu 24.10 with:
sudo apt install protobuf-compiler
git clone https://github.com/activatedgeek/LeNet-5
cd LeNet-5
git checkout 95b55a838f9d90536fd3b303cede12cf8b5da47f
virtualenv -p python3 .venv
. .venv/bin/activate
pip install \
  Pillow==6.2.0 \
  numpy==1.24.2 \
  onnx==1.13.1 \
  torch==2.0.0 \
  torchvision==0.15.1 \
  visdom==0.2.4 \
;
We use our own pip install because their requirements.txt uses >= instead of == making it random if things will work or not.
On Ubuntu 22.10 it was instead:
pip install
  Pillow==6.2.0 \
  numpy==1.26.4 \
  onnx==1.17.0 torch==2.6.0 \
  torchvision==0.21.0 \
  visdom==0.2.4 \
;
Then run with:
python run.py
This script:
  • does a fixed 15 epochs on the training data
  • it then uses the trained net from memory to check accuracy with the test data
  • then it also produces a lenet.onnx ONNX file which contains the trained network, nice!
It throws a billion exceptions because we didn't start the Visdom server, but everything works nevertheless, we just don't get a visualization of the training.
The terminal outputs lines such as:
Train - Epoch 1, Batch: 0, Loss: 2.311587
Train - Epoch 1, Batch: 10, Loss: 2.067062
Train - Epoch 1, Batch: 20, Loss: 0.959845
...
Train - Epoch 1, Batch: 230, Loss: 0.071796
Test Avg. Loss: 0.000112, Accuracy: 0.967500
...
Train - Epoch 15, Batch: 230, Loss: 0.010040
Test Avg. Loss: 0.000038, Accuracy: 0.989300
And the runtime on Ubuntu 22.10, P51 was:
real    2m10.262s
user    11m9.771s
sys     0m26.368s
One of the benefits of the ONNX output is that we can nicely visualize the neural network on Netron:
Figure 1.
Netron visualization of the activatedgeek/LeNet-5 ONNX output
. From this we can see the bifurcation on the computational graph as done in the code at:
output = self.c1(img)
x = self.c2_1(output)
output = self.c2_2(output)
output += x
output = self.c3(output)
This doesn't seem to conform to the original LeNet-5 however?
Numeric function by Ciro Santilli 37 Updated 2025-07-16
This section is about functions that operate on numbers such as the integers or real numbers.
en.wikipedia.org/wiki/Logarithm_of_a_matrix#Existence mentions it always exists for all invertible complex matrices. But the real condition is more complicated. Notable counter example: -1 cannot be reached by any real .
The Lie algebra exponential covering problem can be seen as a generalized version of this problem, because

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact