Algebra, computer languages and “shared truth”

The word algebra comes from the Arabic word al-jbr meaning “completion”, “restoration” and “reunion of broken pieces”.

Al-Kitab al-Mukhtasar fi Hisab al-jbr Wal-Mugabalah (The Compendious book on calculation by completion and balancing) was written in 820 in Baghdad by Persian polymath Al-Khwarizmi. The title of this book is the ultimate etymology of the word algebra. Algebra is the branch of mathematics in which abstract symbols, rather than just numbers, are manipulated or operated with arithmetic.

The word algorithm comes from the same Arabic source Muhammad ibn Musa al-Khwarizmi. In around 825 he wrote the book kitab al-hisab al-hindi (Book of Indian computation). In the early 12th century a Latin translation of al-Khwarizmi’s texts appeared with the word Algorismi in the title being the latinization of al-Khwarizmi’s name. The text starts with the phrase “Thus spoke Al-Khwarizmi”.

Computer languages are based on this abstract mathematics that becomes possible with Al-Khwarizmi’s introduction of abstract concepts (symbols) into mathematical equations. Computer languages consist of a set of parameters and semantics, the parameters being the defined sets of variables represented by the symbols and the semantics being the relationships and patterns defined between the variables represented by the symbols.

Pattern mind is what we use to agree on things through language and story telling, which is how we create our “shared truth”. Story telling is the oldest information technology that they say originated around 70,000 years ago. This ability to represent concepts and things with symbols and then be able to use those symbols to construct a “shared truth” is what enabled human beings to cooperate in relatively large groups. One of the best examples of this is the Society of the First Nations’ people of Australia. Which for at least 70,000 years up until just less than 200 years ago functioned as the best example of Utopian human society particularly from the perspective of spiritual and physical existence. The whole continent of Australia was managed and cultivated by a very sophisticated decentralised human culture. My very rudimentary understanding of Australian First Nations’ lore is that it put relationships and reputation within the community at the foundation of its elaborate governance systems. The concept of ownership was non existent and an extremely enlightened understanding that everyone was part of a greater whole that contained everything, guided decision making and behaviour. It was a pure non dualistic ontology. In this way people had the understanding that when the whole environment including all the life is thriving then they are thriving. It was an epistemology of abundance based on reciprocity, where everything was shared not just with other humans but the whole life system. In this way everything had its place and role to play.

Margo Neale in “Songlines: the power and the promise” says “When they (the colonisers) arrived on the Australian continent thinking they had discovered a terra nullius, they began documenting – measuring and mapping, naming and writing, and all the other ways in which they recorded Knowledge. They didn’t realise that every centimetre of the continent had already been mapped and archived.” (Pg 47). In the process of explaining how the First Nations of Australia archived all this knowledge, memory expert Lynn Kelly also explains how human memory works: “All knowledge, no matter where you store it, is based on memory. It is as if Aboriginal cultures read modern neuroscience and created a knowledge system to match. In truth, the system evolved over thousands of years, constantly being tested and perfected with use. Songlines optimise the way human memory works.” (Pg86) Decentralised data sovereignty was guaranteed because the whole environment i.e. the place was the data base and the heuristics for retrieving salient information from that database were encoded in the cultural song lines that were stored in everyone’s memory.

It was the societies that developed the concept of ownership and currency (money: commodified value) that became centralised and then set out on a massive Sybil attack on the rest of the planet. Which eventually led to their domination of all the other species (the current global predicament of western imperialism). This is evident in Elon Musk running a million dollar lottery to buy votes in the 2024 American election and most obvious in the control that the ideology of Zionism has of the current Western “shared truth”. For example: Jordana Cutler a prominent Zionist member of the Likud party and advisor to $atanyahu, has been appointed chief of Meta’s US censorship unit on Palestine and isra$ell. It has also created this concept of “offen$ive reali$m” where modern human societies’ governance is based on being able to dominate one’s perceived adversaries. This has led to USD $2.44 trillion being spent in 2023 on arms globally or the ability to kill other human beings.

Algebra was the introduction of abstract concepts (symbols) into arithmetic, which 1100 years later provided the foundation of computer languages. This abstract mathematics is how we describe patterns that occur in relationships between data points. An algorithm is a set of rules that precisely defines a sequence of finite operations. A computer algorithm is a finite sequence of algebraic structures in the form of mathematically rigorous instructions that are performed in rapid succession across data sets. The “algorithms” that drive search engines and modern social media content feeds are not actually algorithms but “heuristics” as they are not designed to find a correct result but rather are designed to discover the “best” approximate result. They sacrifice correctness for speed. The problem with this is that Mark $uckerburg (one of the principal modern day lords of Technofuedalism) gets to choose Jordana Cutler’s Zionist $word as the enforcer of what is “best” in other words $ybil has taken over control of planet earth’s human network.

If a particular community had the understanding that their “shared truth” (consensus in the form of cultural norms) was not vulnerable to $ybil attacks then that community could behave with a shared sense of freedom, knowing that the agency of flexible trust was the founding principle of their shared network. I believe this concept has significant implications for human society. Imagine a society with a secure internet level consensus powered decentralised data sovereignty, which everyone has equal and open access to and forms the foundation of how we define and share value. This would allow for the creation of a secure and decentralised society that is governed by each agents’ reputation within the community and is regulated and secured via the agency of each agents’ flexible trust.

Hopefully the following demonstration of the difference between algorithms and heuristics allows for the significance of this insight to sink in. The current internet is pretty much predominantly accessed via social media platforms or google, both of which use heuristics to guide people to the “best” approximate results in terms of the content (“shared truth”) that they supply. The big caveat is that a better word for “best” is probably biased. Which means that they, the ones that control the software i.e. google and meta, get to decide what best is. That is probably the biggest decision that we as a society need to make, which is now being made primarily by 5 to 10 people for all the billions of people that rely on that software to serve them content over the internet. There is little wonder why we think that they use algorithms because I guess they wanted us to think that they were actually serving up the truth i.e. the correct answer. Algorithms are designed for correctness over speed this is guaranteed to give a correct answer. As I previously mentioned Heuristics on the other hand are designed to give a “best” approximate answer, with how best is determined being programmed according to the ideology and objectives of the people that control the software.

The most obvious way to prevent this kind of $ybil attack on our “shared truth” is to: 1) open source and decentralise control of the heuristics and; 2) ensure that everyone has access to the same secure, internet level, consensus algorithm (that is open source) and the associated decentralised data sovereignty. Each person gets to define what value means for them and other people get to choose whether they trust or agree with that value. This then forms the basis of how value is exchanged and “shared truth” maintained.