SHOWING: First 60
“January 3rd, 2009 is the singularity. That's the point at which Satoshi Nakamoto developed the technology to transfer value through space without a trusted third party. Now, people say that a lot. They say he solved the Byzantine Generals problem. But if you can transfer something of value through cyberspace without a trusted third party, that means you can manifest something of value in cyberspace without a trusted third party. That means you can create and store and transfer energy in the digital realm. The creation of digital property, digital money, digital energy, and digital matter was therefore effected on January 3rd, 2009. Most people don't realize this, but Satoshi opened a portal from the physical realm into the digital realm. And energy began to flow into cyberspace, bringing life to a formerly dead realm, consisting only of shadows and ghosts. Bringing conservation of energy and matter, objectivity, truth, time, and consequence into the digital realm, delivering property rights, freedom, and sovereignty that is separate from the physical and the political realm, to humanity.”
- Micheal Saylor#63,824,520text{Glossary}
[Arbitrary]
Based on or determined by individual preference or convenience rather than by necessity or the intrinsic nature of something.
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‘Arbitrary’ comes from Latin ‘arbiter’, which means ‘judge’, in English, ‘arbitrary’ first meant "depending upon choice or discretion" and was specifically used to indicate the sort of decision left up to the expert determination of a judge rather than defined by law.
[Non-Arbitrary]
Based on or determined by predefined patterns or parameters ensuring consistency and logical reasoning behind each selection.
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The adjective ‘non-arbitrary’ is formed by adding the prefix non- (‘not’) to ‘arbitrary’, directly opposing the notion of decisions made on a whim or personal discretion. Historically, the concept of ‘non-arbitrariness’ has been fundamental in fields requiring objectivity, rationality, and fairness.
[Bit]
The bit represents a logical state with one of two possible values most commonly represented as either ‘1’ or ‘0’.
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The bit, a portmanteau of ‘binary digit’, is the most basic unit of information in computing and digital communications. Other representations such as true/false, yes/no, on/off, or +/− are also widely used. In information theory, one bit is the informational entropy of a random binary variable that is 0 or 1, with equal probability. The bit is also known as a ‘Shannon’ named after Claude Shannon.
[Generative Art]
Refers to art that in whole or in part has been created with the use of an ‘autonomous system’ often involving a programmed set of rules.
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An ‘autonomous system’ in this context is generally one that is non-human and can independently determine features of an artwork that would otherwise require decisions made directly by the artist. In some cases, the human creator may claim that the generative system represents their artistic idea, and in others that the system takes on the role of the creator.
[Proof of Work]
A form of cryptographic proof in which one party (the prover) demonstrates to others (the verifiers) that a valid output has been calculated.
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The estimated computational effort required from ‘provers’ can be regulated without infringing change on the minimal work expenditure from ‘verifiers’. The concept was invented by Moni Naor and Cynthia Dwork in 1993 as a way to deter denial-of-service attacks and other network abuses. The term ‘proof of work’ was first coined and formalized in a 1999 paper by Markus Jakobsson and Ari Juels. The concept was first adapted to digital tokens by Hal Finney in 2004 through the idea of ‘reusable proof of work’ using the ‘160-bit Secure Hash Algorithm 1’ (SHA-1).
[Mining Difficulty]
A self-regulating protocol that ensures consistent block discovery rates, irrespective of the total computing power of the network.
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The difficulty adjustment for Bitcoin occurs every 2,016 blocks, which roughly equates to two weeks if blocks are found on target (≈ every 10 minutes). It works by adjusting the difficulty target to regulate the mining challenge; on average a smaller target requires more computations.
[Hash Rate]
The measure of total computational power put towards securing a proof-of-work (PoW) network.
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It is usually measured in total hashes per second (TH/s), the number of guesses each mining computer makes per second to solve a network's hash. The higher the hash rate, the more cumulative computational effort is being contributed to the network, which typically means a more robust and competitive mining environment as well as increased security and resilience against attacks.
[SHA-256]
A secure hashing algorithm that takes an input of variable length and produces a 256-bit long hash output.
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It is collision-resistant, making it nearly impossible to find two distinct inputs with the same output. Preimage resistance ensures that the input cannot be recreated even if given the hash value. SHA-256 is deterministic, producing consistent outputs for the same inputs. It has the avalanche effect, where small input changes cause significant output differences. Its design and output size make brute-force attacks computationally inconceivable.
[Classical Thermodynamic Entropy]
The state function of a thermodynamic system that expresses the direction or outcome of spontaneous changes.
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Introduced by Rudolf Clausius in the mid-19th century to explain the relationship that available or unavailable internal energy has for transformations in the form of heat and work. It predicts irreversible processes, despite not violating the conservation of energy, giving a way to measure how much energy in a system can't be used for work.
[Statistical Thermodynamic Entropy]
A measure of the number of possible microscopic states (microstates) of a system in thermodynamic equilibrium, consistent with its macroscopic state (macrostate)
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Introduced in 1870 by Austrian physicist Ludwig Boltzmann, this outlook on thermodynamic systems was quantified using Boltzmann's formula. It provided the probabilistic groundwork for entropy, connecting opposing ends of physical study and founding statistical mechanics. Think of it as the number of ways you can arrange particles in a system to achieve the same overall effect.
[Discrete Entropy]
The average amount of information produced by a stochastic source of data, inherent to its range of possible outcomes.
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Introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", ‘entropy’ in information theory (also known as Informational Entropy or Shannon Entropy) is directly analogous to the ‘entropy’ in statistical thermodynamics. Gibbs’ formula for entropy that generalized the concept for systems in a mixed state is formally identical to Shannon's formula.
[Differential Entropy]
Also referred to as ‘continuous entropy’ it is a measure for the unpredictability of continuous or infinite possibilities.
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It began as an attempt by Claude Shannon to extend the idea of ‘Informational Entropy’ but he did not derive this formula, and rather just assumed it was the correct continuous analogue of discrete entropy. The actual continuous version of discrete entropy is the limiting density of discrete points (LDDP) formulated by Edwin Thompson Jaynes.
[Boltzmann’s Constant]
A physical constant that calculates the relation between average kinetic energy and temperature of particles in a gas.
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Bolzmann’s Constant is applied as a scaling factor to discrete informational entropy to obtain a sound formula for measuring statistical thermodynamic entropy. It serves as a bridge between the macroscopic and microscopic extremities of thermodynamics, quantifying the measure of entropy into a physical value.
[Dimensionless Quantities]
A numerical value that does not depend on any physical units for its size or value, making it a ‘pure number’.
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Also known as ‘quantities of dimension one’, they are used in mathematics, physics, engineering, and information technology to compare ratios or relative sizes, facilitate calculations, and simplify formulas by eliminating the need for unit conversions. In the 19th century, French mathematician Joseph Fourier and Scottish physicist James Clerk Maxwell led significant developments in the modern concepts of dimension and unit. Later work by British physicists Osborne Reynolds and Lord Rayleigh contributed to the understanding of dimensionless numbers in physics. Building on Rayleigh's method of dimensional analysis, Edgar Buckingham proved the π theorem to formalize the nature of these quantities.
[Kardashev Scale]
A method of measuring a civilization's level of technological advancement based on the amount of energy it is capable of using.
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Named after Soviet astronomer Nikolai Kardashev, the initial model proposed a hypothetical classification of civilizations into three types, based on the axiom of exponential growth. A Type I civilization can access all the energy available on its planet and store it for consumption. A Type II civilization can directly consume a star's energy. A Type III civilization can capture all of the energy emitted by its galaxy, and every object within it. Since then the classes have been theorized and expanded upon extensively.#63,824,192text{Non-Arbitrary Generative Art} applies universal laws to Bitcoin as a means of creation.
Intelligence has evolved over time by sophisticating energy conversion technologies as a natural response to increasing physical entropy. It can be characterized as the fundamental driver of humanity's ascension on the Kardashev Scale towards a ≥ Type I civilization. The 19th-century formalization of thermodynamic principles provided a foundational knowledge base to elucidate these truths. In its direct and advanced response to the complexities of increasing physical entropy, intelligence has now evolved its energy conversion technologies to harness and utilize electrical power.
Proof of Work (PoW) is a nexus that employs electrical power (the result of energy conversion processes) for computational efforts. While only a portion of electrical power is used for PoW, a growing total availability of this energy source makes the allocation of more electrical energy to PoW inevitable. Thus, total hash dedicated to Bitcoin ascends. This means that the constant average increase of total hash rate is not an independent occurrence, but rather an inevitable manifestation of classical thermodynamics. Designed to maintain consistent block discovery rates (equilibrium), the self-regulating Bitcoin protocol adapts to a series of fundamentally sequential reactions that cumulatively lead to greater mining difficulty over time.
It’s a metric, a reflection of the network’s computational power, that triggers a difficulty adjustment every 2016 blocks. With higher difficulty, the cryptographic solutions require more bits (microstates) to solve the next hash (macrostate). The discrete informational entropy associated with finding a valid hash increases, in the sense that each valid hash represents a smaller and thus more unpredictable subset of the total hash space. As the complexity of solving these cryptographic hashes escalates, it retrospectively raises the computational barrier for altering any part of the blockchain data.
Each block, once added to the chain, cannot be modified without redoing the work of subsequent blocks. Hence, the higher the discrete informational entropy of valid hashes, the more immutable the blockchain becomes. Perpetual increase of classical thermodynamic entropy within our universal closed system is a codependent manifestation of the energy conversion processes that enable PoW. Cumulatively, these energy transformations and collective computational endeavors put towards Bitcoin materialize as dimensionless data.
The outcome of progressively greater discrete informational entropy in Bitcoin hash calculations is quantified as such. Bitcoin block data is rendered as the sacrosanct epitome of non-arbitrary value in the digital domain; even the process by which arbitrary interactions are recorded is determined by predefined parameters. PoW leverages energy transformations converged into electrical form, crystallizing its objective outputs as digital remnants of our universe’s relentless march towards entropy. The blockchain’s structured order imposes a form of increasing stability, preserving information as an antithesis to the natural entropic drift towards chaos.
Having delineated the path from universal laws to Bitcoin data, our vision, underpinned by a solid rationale, becomes clear: we leverage the network as a canvas for artistic creation and expression. Our generative algorithms scale Bitcoin’s dimensionless data into visual form. By sculpting artifacts from the entropy-rich layer of Bitcoin blocks, we demonstrate the potential for digital matter to embody aesthetic richness.
- nagalabs#63,821,717text{n}#62,827,104text