This is a collection of cool data found in the Bitcoin blockchain using techniques mentioned at: Section "How to extract data from the Bitcoin blockchain". Notably, Ciro Santilli developed his own set of scripts at github.com/cirosantilli/bitcoin-inscription-indexer to find some of this data. This article is based on data analyzed up to around block 831k (February 2024).
Drop some Bitcoins at 3KRk7f2JgekF6x7QBqPHdZ3pPDuMdY3eWR if you are loaded and like this article in order to support some much needed higher educational reform: Section "Sponsor Ciro Santilli's work on OurBigBook.com".
When this kind of non-financial data is embedded into a blockchain some people called an "inscription". The study or "early" inscriptions had been called a form of "archaeology"[ref][ref]. Since this is a collection of archeological artifacts, we call it a "museum"!
One really cool thing about inscriptions is that because blockchains are huge Merkle trees, it is impossible to censor any one inscription without censoring the entire blockchain. It is also really cool to see people treating the Bitcoin blockchain basically like a global social media feed!
Starting on December 2022, ordinal ruleset inscriptions took the bitcoin blockchain by storm, and dwarfed in volume all other previous inscriptions. This museum focuses mostly on non-ordinals, though certain specific ordinal topics that especially interest he curators may be covered, e.g. Ordinal ruleset inscription porn and ordinal ASCII art inscription.
Hidden surprises in the Bitcoin blockchain by Ken Shirriff (2014) is a mandatory precursor to this article and contains the most interesting examples of the time. But much happened since Ken's article which we try to cover. This analysis is also a bit more data oriented through our usage of scripting.
Artifacts can be organized in various ways:
In this article we've done a mixture of:
  • themes: if multiple items fall in a theme, we tend to put it there first
  • then by media type if they don't fit any specific theme
  • then by encoding
  • and finally chronologically within each section
Who said it was easy to be a museum curator!
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Some of the most remarkable ones seem to be:
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Webpack is like a magic hydra that can eat any type of file and bundle it into a single output: .js, .ts, .ccs, .scss, .jsx, .tsx, require, import, import css from .js, it doesn't matter at all, it just digests all into the same dump.
When it works, you are just left in awe and with a single Js file. When it doesn't, you're fucked and have to debug for several hours.
Demos under: webpack/. To run all of them by default:
cd webpack/min
npm install
npm run build
xdg-open index.html
To easily make changes and reload the .js output live let this run on a terminal:
npx webpack watch
Examples:
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Deep learning is the name artificial neural networks basically converged to in the 2010s/2020s.
It is a bit of an unfortunate as it suggests something like "deep understanding" and even reminds one of AGI, which it almost certainly will not attain on its own. But at least it sounds good.
Good points:

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