Socio-economic statistics refers to the collection, analysis, and interpretation of data related to the social and economic conditions of individuals or groups within a society. These statistics are used to understand various aspects of a population, including income levels, employment rates, education, health, housing, and other factors that influence quality of life and social welfare.
Bought: November 2023 during Black Friday sale for £1,323.00 to be Ciro Santilli's main personal laptop.
Six years after, and we are 2x on every key spec (except processor Hz ;-) at about 1/2 the price and 1/2 the weight (though smaller 14" screen for greater portability), so not bad! Customized to max out each hardware spec:
Specs:
Identifiers:
Upon arrival:
  • Weight: 1490 g
  • Charger weight: 323 g
  • Firmware according to sudo dmidecode -t bios:
    Vendor: LENOVO
    Version: R2FET33W (1.13 )
    Release Date: 09/08/2023
Buy research:
Log:
2024-01-17: firmware update:
Vendor: LENOVO
Version: R2FET36W (1.16 )
Release Date: 10/24/2023
Actually fixed performance mode: askubuntu.com/questions/604720/setting-to-high-performance/1343879#1343879
Previously it was unclear if there were any .org hits, until we found the first one with clear comms: web.archive.org/web/20110624203548/http://awfaoi.org/hand.jar
Later on, two more clear ones were found with expired domain trackers:
further settling their existence. Later on newimages.org also came to light.
Others that had been previously found in IP ranges but without clear comms:
  • 65.61.127.177: material-science.org
  • 212.4.17.61: tech-stop.org
  • 74.116.72.244 arborstribune.org
.org is very rare, and has been excluded from some of our search heuristics. That was a shame, but likely not much was missed.
AquaSalina is a brand known for its sea salt products, often obtained from natural sources such as salt water, specifically from areas like salt flats or coastal regions. The term "AquaSalina" can also refer to the use of sea salt in culinary applications, health treatments, or wellness products, such as bath salts or seasoning.
A "list of graphs" typically refers to a comprehensive collection of various types of graphs, each representing different structures, properties, or applications in graph theory. Graphs are mathematical representations consisting of vertices (or nodes) connected by edges (or links). Below are some common types of graphs included in a list of graphs: ### Types of Graphs 1. **Simple Graph**: A graph with no loops or multiple edges between the same pair of vertices.
The Google Story by Ciro Santilli 37 Updated 2025-07-16
Has some good mentions, but often leaves you wanting more details of how certain things happened, especially the early days stuff.
Does however paint a good picture of several notable employees, and non-search projects from the early 2000's including:
  • the cook dude
  • porn cookie guy
  • the unusual IPO process
Paints a very positive picture of the founders. It is likely true. They gave shares generously to early employees. Tried to allow the more general public to buy from IPO, by using a bidding scheme, rather than focusing on the big bankers as was usual.
The introduction mentions that Google is very interested in molecular biology and mining genetics data, much like Ciro Santilli! Can't find external references however...
Two of the most compelling areas that Google and its founders are quietly working on are the promising fields of molecular biology and genetics. Millions of genes in combination with massive amounts of biological and scientific data are an excellent match for the Google search engine, the tremendous database the company has in place, and its immense computing power. Already, Google has downloaded a map of the human genome and is working closely with biologist Dr. Craig Venter and other leaders in genetics on scientific projects that may lead to important breakthroughs in science, medicine, and health. In other words, we may be heading toward a time when people can google their own genes.
The book gives good highlight as to why Google became big: search was just an incredibly computationally intensive task. From very early days, Largey were already making up their own somewhat custom compute systems from very early days, which naturally led into Google custom hardware later on. Google just managed to pull ahead on the reinvest revenue into hardware loop, and no one ever caught them back. This feels more the case than e.g. with Amazon, which notoriously had to buy off dozens of competitors to clear the way.
Figure 1.
Cover of The Google Story
.
Statistics of education refers to the collection, analysis, interpretation, presentation, and organization of data related to various aspects of education systems. This field utilizes statistical methods to better understand educational phenomena, inform policy decisions, assess educational outcomes, and ultimately improve teaching and learning processes. Key areas often covered in the statistics of education include: 1. **Enrollment Rates**: Data related to student enrollment in different educational institutions, including trends over time, demographics, and levels of education (e.g.
I read Human Compatible by Stuart J. Russell (2019). Some AI safety people were actually giving out free copies after a talk, can you believe it! Good book.

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