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.
Ancient DNA points to the roots of Uralic languages in Yakutia, far east of the Ural Mountains. The genetic trail traces a remarkable prehistoric migration that reshaped Eurasia’s linguistic landscape.
A new study using ancient DNA has revealed that the origins of the Uralic language family (including Hungarian, Finnish, and Estonian) lie further east than previously thought – specifically in Yakutia, northeastern Siberia, around 4,500 years ago. Researchers, led by Harvard scientists, analyzed genomes from Siberia and across Eurasia, tracing a genetic signal westward. This challenges the long-held belief that the Uralic homeland was near the Ural Mountains.
The study links the spread of Uralic languages to the Seima-Turbino phenomenon – a period of advanced bronze-casting and cultural exchange – and shows interaction with the Yamnaya culture (associated with the spread of Indo-European languages). While modern Uralic-speaking populations show varying degrees of Yakutia ancestry (with Hungarians having the least), the ancient DNA confirms a Siberian origin for the language family. The research also sheds light on the origins of the Yeniseian language family and potentially supports a connection between Yeniseian and North American Na-Dene languages.
A new study using ancient DNA has revealed that the origins of the Uralic language family (including Hungarian, Finnish, and Estonian) lie further east than previously thought – specifically in Yakutia, northeastern Siberia, around 4,500 years ago. Researchers, led by Harvard scientists, analyzed genomes from Siberia and across Eurasia, tracing a genetic signal westward. This challenges the long-held belief that the Uralic homeland was near the Ural Mountains.
The study links the spread of Uralic languages to the Seima-Turbino phenomenon – a period of advanced bronze-casting and cultural exchange – and shows interaction with the Yamnaya culture (associated with the spread of Indo-European languages). While modern Uralic-speaking populations show varying degrees of Yakutia ancestry (with Hungarians having the least), the ancient DNA confirms a Siberian origin for the language family. The research also sheds light on the origins of the Yeniseian language family and potentially supports a connection between Yeniseian and North American Na-Dene languages.
The article discusses a noticeable linguistic pattern emerging in AI-generated text – the negation structure 'it's not X, it's Y' – and how it's even appearing in spoken language. It explores the implications of this pattern for identifying AI-generated content and the potential impact on human writing and communication.
A new study reveals that wild chimpanzees combine vocal calls in structured ways to create new or more specific meanings, echoing key features of human language. Researchers documented over 12,000 calls from chimpanzees in Côte d’Ivoire and found that they formed at least 16 different two-call combinations.
A collection of 23 maps and charts illustrating various aspects of language, including origins, distribution, diversity, and evolution, with a focus on English and global patterns.
New genetic research suggests that humans first developed language around 135,000 years ago, with its widespread social use around 100,000 years ago. This study, using data from 15 genetic studies, indicates that language likely began as a cognitive system before becoming crucial for social communication.
