The Google Story Chapter 21. A Virtual Library mentions that Paul Allen was interested in trying to create something like the "Final Encyclopedia" from this book. This is somewhat the same motivation for Google Books and Google's activities more broadly, as shown in their organise the world's information mission statement.
If you are going to make a television series, do make it a limited one. Plan one story, and execute it amazingly. Don't let things drag on and on.
A cool thought: bacteria like E. Coli replicate every 20 minutes. A human replicates every 15 years. So how can multicellular beings possibly cope with the speed of evolution of parasites?
The answer is that within us, the adaptive immune system is a population of cells that evolves very quickly. So in a sense, within our bodies there is fast cell-level non-inheritable evolution happening daily!
Discrete quantum effect observed in superconductors with a small insulating layer, a device known as a Josephson junction.
To understand the behaviour effect, it is important to look at the Josephson equations consider the following Josephson effect regimes separately:
Bibliography:
- www.youtube.com/watch?v=cnZ6exn2CkE "Superconductivity: Professor Brian Josephson". Several random excerpts from Cambridge people talking about the Josephson effect
Ciro Santilli really likes this genre.
Limited the number of articles, and the size of article bodies. This, together with the reCAPTCHA setup from Email verification and reCAPTCHA signup protection should prevent the most basic types of denial-of-service attacks by filling up our database.
The limits can be increased by admin users from the web UI, and will be done generously when it is evident that it is not a DoS attack. Admin users are also a recently added feature.
Ciro's Edict #6 cirosantilli.com content uploaded to ourbigbook.com/cirosantilli by 
Ciro Santilli 37 Updated 2025-07-16
Ciro Santilli 37 Updated 2025-07-16Managed to upload the content from the static website cirosantilli.com (OurBigBook Markup source at github.com/cirosantilli/cirosantilli.github.io) to ourbigbook.com/cirosantilli.
Although most of the key requirements were already in place since the last update, as usual doing things with the complex reference content stresses the system further and leads to the exposition of several new bugs.
The upload of OurBigBook Markup files to ourbigbook.com was done with the newly added OurBigBook CLI
ourbigbook --web option. Although fully exposed to end users, the setup is not super efficient: a trully decent implementation should only upload changed files, and would basically mean reimplementing/using Git, since version diffing is what Git shines at. But I've decided not to put much emphasis on CLI upload for now, since it is expected that initially the majority of users will use the Web UI only. The functionality was added primarily to upload the reference content.This is a major milestone, as the new content can start attracting new users, and makes the purpose of the website much clearer. Just having this more realistic content also immediately highlighted what the next development steps need to be.
Once v1.0 is reached, I will actually make all internal links of cirosantilli.com to point to ourbigbook.com/cirosantilli to try and drive some more traffic.
The new content blows up by far the limit of the free Heroku PostgreSQL database of 10k lines. This meant that I needed to upgrade the Heroku Postgres plugin from the free Hobby Dev to the 9 USD/month Hobby Basic: elements.heroku.com/addons/heroku-postgresql, so now hosting costs will increase from 7 USD/month for the dyno to 7 + 9 = 16 UDS/month. After this upgrade and uploading all of cirosantilli.com to ourbigbook.com, Heroku dashboard reads reads:so clearly if we are ever forced to upgrade plans again, it means that a bunch of people are using the website and that things are going very very well! Happy how this storage cost turned out so far.
One key limitation found was that Heroku RAM memory is quite limited at 512MB, and JavaScript is not exactly the most memory economical language out there. Started investigation at: github.com/ourbigbook/ourbigbook/issues/230 Initially working around that by simply splitting the largest files. We were just on the verge of what could be ran however luckily, so a few dozen splits was enough, it managed to handle 70 kB OurBigBook Markup inputs. So hopefully if we manage to optimize a bit more we will be able to set a maximum size of 100 kB and still have a good safety margin.
Ciro's Edict #5 Skip ID extraction and rendering based on database timestamps by Ciro Santilli 37 Updated 2025-07-16
Ciro Santilli 37 Updated 2025-07-16This means while developing a website locally with the OurBigBook CLI, if you have a bunch of files with an error in one of them, your first run will run slowly until the error:but further runs will blast through the files that worked, skipping all files that have sucessfully converted:so you can fix file by file and move on quickly.
extract_ids README.ciro
extract_ids README.ciro finished in 73.82836899906397 ms
extract_ids art.ciro
extract_ids art.ciro finished in 671.1738419979811 ms
extract_ids ciro-santilli.ciro
extract_ids ciro-santilli.ciro finished in 1009.6256089992821 ms
extract_ids science.ciro
error: science.ciro:13686:1: named argument "parent" given multiple times
extract_ids science.ciro finished in 1649.6193730011582 msextract_ids README.ciro
extract_ids README.ciro skipped by timestamp
extract_ids art.ciro
extract_ids art.ciro skipped by timestamp
extract_ids ciro-santilli.ciro
extract_ids ciro-santilli.ciro skipped by timestamp
extract_ids science.ciroMore details at: cirosantilli.com/ourbigbook#no-render-timestamp
This was not fully trivial to implement because we had to rework how duplicate IDs are checked. Previously, we just nuked the DB every time on a directory conversion, and then repopulated everything. If a duplicated showed up on a file, it was a duplicate.
But now that we are not necessarily extracing IDs from every file, we can't just nuke the database anymore, otherwise we'd lose the information. Therefore, what we have to do is to convert every file, and only at the end check the duplicates.
Managed to do that with a single query as documented at: stackoverflow.com/questions/71235548/how-to-find-all-rows-that-have-certain-columns-duplicated-in-sequelize/71235550#71235550
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