>A new pan-European movement called Via Nova wants to revive Latin to give Europeans a shared spoken language with historical weight, one that, in its words, carries “civilisational baggage
Steven Pemberton explores the intersection of evolutionary biology and computer science, arguing that technology—specifically computers—serves as a part of the human extended phenotype. By comparing programming methods like backtracking to biological evolution, he illustrates how humans use memes (ideas) rather than just genes to adapt and extend their capabilities. The talk covers themes including genetic memory, the role of language in cultural evolution, Moore's Law, and the accelerating rate of paradigm shifts leading toward the technological Singularity.
Main topics:
- Comparison between backtracking algorithms and evolutionary processes.
- Distinction between genotype and phenotype.
- Use of memes as information carriers for human adaptation.
- Technology as a tool to extend sensory and cognitive abilities.
- Exponential growth in computing power and the acceleration of societal paradigm shifts.
Main topics:
- Comparison between backtracking algorithms and evolutionary processes.
- Distinction between genotype and phenotype.
- Use of memes as information carriers for human adaptation.
- Technology as a tool to extend sensory and cognitive abilities.
- Exponential growth in computing power and the acceleration of societal paradigm shifts.
This 1557 Venetian printing by Bartolomeo Cipolla delves into the heart of legal interpretation during the Council of Trent. Cipolla, a key figure in the Bartolist tradition, emphasized the 'ratio legis' – the spirit of the law – over strict literalism. The text explores 'interpretatio extensiva', the ability to extend a text's authority beyond the author's original intent.
For esoteric scholars, Cipolla’s work offers insights into performative language and its power to shape reality, akin to ritual words binding spiritual forces. It examines how "Legal Fictions" reshape social realities, mirroring a magus’s use of operative words to enact change. This volume also includes the work of Matteo Mattesillani.
For esoteric scholars, Cipolla’s work offers insights into performative language and its power to shape reality, akin to ritual words binding spiritual forces. It examines how "Legal Fictions" reshape social realities, mirroring a magus’s use of operative words to enact change. This volume also includes the work of Matteo Mattesillani.
This editorial discusses how genomic studies are being used to understand the origins of language in humans. Researchers are attempting to pinpoint the earliest divergence in modern human populations, specifically between the Khoisan people of southern Africa and the rest, to establish a lower bound for when linguistic capacity developed – at least 135,000 years ago. The article highlights the difficulty in reconstructing very old languages, pointing out that many early languages are "known unknowables," lost to time. It acknowledges the distinction between linguistic capacity and fully formed language, suggesting the former may have predated the latter.
A new analysis of genetic studies suggests the cognitive capacity for language emerged at least 135,000 years ago, with language likely becoming a social tool around 100,000 years ago. Researchers examined genetic data from Y chromosome, mitochondrial DNA, and whole-genome studies to trace the divergence of human populations, reasoning that all languages share a common origin. The study proposes that language initially developed as an internal cognitive system before evolving into a means of social communication. Archaeological evidence of symbolic behavior around 100,000 years ago supports the idea that language played a key role in the development of modern human behavior.
This Upworthy article discusses a TikTok video by linguist who points out how many common English phrases related to thinking are actually walking metaphors. He argues that we often don't recognize these as metaphors, but they reveal a deeper connection between how we conceptualize thought and physical movement – essentially, "thinking is walking."
* “by the way”
* “of course”
* “you’re on track”
* “you’re way off”
* “thinking is walking.”
* “Via”
* “by the way”
* “of course”
* “you’re on track”
* “you’re way off”
* “thinking is walking.”
* “Via”
Information on the Great Andamanese people, their language, history, and culture, based on two decades of research. Highlights the language as a potential sixth language family of India and genetic research supporting its distinctness.
>"Three major points emerge from her research:
> Great Andamanese and Jarawa-Onge languages are class apart. (Abbi 2003)
> “We cannot rule out the possibility of multiple dispersions from Africa at different times, and also from different locations”.
> “We may also consider positing not one but two separate migrations out of Africa into the Andamans.
> The first one by the Great Andamanese 70,000 years ago and the second one by the Ang family, (perhaps around 50,000 years ago)” (Abbi 2008)"
>"Three major points emerge from her research:
> Great Andamanese and Jarawa-Onge languages are class apart. (Abbi 2003)
> “We cannot rule out the possibility of multiple dispersions from Africa at different times, and also from different locations”.
> “We may also consider positing not one but two separate migrations out of Africa into the Andamans.
> The first one by the Great Andamanese 70,000 years ago and the second one by the Ang family, (perhaps around 50,000 years ago)” (Abbi 2008)"
Python 3.14.1 is the latest release of the Python programming language, offering bug fixes and improvements.
DeepScientist is a goal-oriented, fully autonomous scientific discovery system. It uses Bayesian Optimization and a hierarchical 'hypothesize, verify, and analyze' process with a Findings Memory to balance exploration and exploitation. It generated and validated thousands of scientific ideas, surpassing human SOTA on three AI tasks.
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other TokensThis paper investigates how large language models (LLMs) solve mental math problems. It proposes that meaningful computation occurs late in the network (in terms of layer depth) and primarily at the last token, receiving information from other tokens in specific middle layers. The authors introduce techniques (CAMA and ABP) to identify an 'All-for-One' subgraph responsible for this behavior, demonstrating its sufficiency and necessity for high performance across various models and input styles.
