#memorycode
Native American games - cognitive achievements

A fascinating archaeological hypothesis involving the North American southwest, and the archaeological site that left me totally awe inspired, Chaco Canyon, New Mexico.

#Indigenousknowledges #oraltradition #memorycode

www.nbcnews.com/science/scie...
Native Americans had dice and games of probability long before other cultures, study finds
Dice and associated activities were first developed in the present-day Southwestern U.S. 12,000 years ago, the research suggests.
www.nbcnews.com
April 3, 2026 at 4:45 AM
ART - adding support to the argument that Australia has a 65,000 year old continuous First Nations culture.

Art is absolutely critical to knowledge systems of Indigenous cultures - and inherent in Homo sapiens and Neanderthals.

www.theguardian.com/science/2026...?

#theknowledgegene #memorycode
Hand shape in Indonesian cave may be world’s oldest known rock art
Archaeologists say stencil painted with ochre in limestone cave on Muna Island was created at least 67,800 years ago
www.theguardian.com
January 22, 2026 at 5:06 AM
Can LLMs collaborate effectively over long-term interactions, like a human teammate, especially in coding tasks? 🤔

We introduce MEMORYCODE, a new way to evaluate LLMs' ability to track & execute coding instructions across multiple sessions, even with irrelevant info thrown in.
March 3, 2025 at 2:50 PM
MEMORYCODE is released as a benchmark to drive research in this direction 🚀

Our goal is to enable more effective long-term collaboration with LLMs in real-world scenarios.

📜: arxiv.org/abs/2502.13791
💻: github.com/for-ai/Memor...
From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions
Large Language Models (LLMs) are increasingly used in working environments for a wide range of tasks, excelling at solving individual problems in isolation. However, are they also able to effectively ...
arxiv.org
February 25, 2025 at 9:54 AM
Excited to share insights from our new paper on evaluating LLMs in multi-session coding interactions! 📚📚📚

We introduce MEMORYCODE, a novel dataset to assess how well LLMs track & execute coding instructions across multiple sessions, mimicking real-world collaboration.
February 25, 2025 at 9:54 AM
also able to effectively collaborate over long-term interactions? To investigate this, we introduce MemoryCode, a synthetic multi-session dataset designed to test LLMs' ability to track and execute simple coding instructions [2/5 of https://arxiv.org/abs/2502.13791v1]
February 20, 2025 at 6:04 AM