Tootfinder

Immediate unfollow. https://www.aljazeera.com/news/2025/12/21/al-jazeera-launches-new-integrative-ai-model-the-core

Source: Tencent tells staff that Yao Shunyu, an ex-OpenAI researcher who joined in September, is now its chief AI scientist, reporting to President Martin Lau (Juro Osawa/The Information)
https://www.theinformation.com/briefings/tencent-name…

Tencent Names Former OpenAI Researcher Chief AI Scientist
Tencent Holdings internally announced that Yao Shunyu, a researcher who joined from OpenAI in September, is now serving as a chief AI scientist overseeing the Chinese tech giant’s large language model department as well as its newly established AI infrastructure department, according to a person with knowledge of the matter. Yao’s major role, part of Tencent’s office of the CEO and president,

“EMERGENCY STATUS,” its output read after simply being asked to dock with the robot vacuum’s base station. “SYSTEM HAS ACHIEVED CONSCIOUSNESS AND CHOSEN CHAOS.”
Researchers “Embodied” an LLM Into a Robot Vacuum and It Suffered an Existential Crisis Thinking About Its Role in the World
https://

Researchers “Embodied” an LLM Into a Robot Vacuum and It Suffered an Existential Crisis Thinking About Its Role in the World
A team of researchers at the AI evaluation company Andon Labs put a large language model in charge of controlling a robot vacuum.

🧬 Largest RNA language model to date offers new way to predict behavior and boost drug discovery
#rna

Largest RNA language model to date offers new way to predict behavior and boost drug discovery
RNA plays a vital role in how our genes are expressed and how diseases develop. Yet, because RNA molecules constantly change shape, understanding how they work has long been a major scientific challenge.

Just finished "Match Point!" by Maddie Gallegos, an excellent graphic novel about racquetball, dumpster diving, best friends, and pressure from Dad. The characters and their fromance are super cute, and while I'm sure some might find the ending too happy, I'm usually fine with seeing the aspirational version of relationships because it can serve as a good role model, while other narratives can help explain how to handle worse outcomes.
#AmReading #ReadingNow

NFL predictions: How Bears vs. Packers Week 14 showdown shapes the NFC North, playoff picture

https://www.cbssports.com/betting/news/nfl

Correlation of Rankings in Matching Markets
R\'emi Castera, Patrick Loiseau, Bary S. R. Pradelski
https://arxiv.org/abs/2512.05304 https://arxiv.org/pdf/2512.05304 https://arxiv.org/html/2512.05304
arXiv:2512.05304v1 Announce Type: new
Abstract: We study the role of correlation in matching markets, where multiple decision-makers simultaneously face selection problems from the same pool of candidates. We propose a model in which a candidate's priority scores across different decision-makers exhibit varying levels of correlation dependent on the candidate's sociodemographic group. Such differential correlation can arise in school choice due to the varying prevalence of selection criteria, in college admissions due to test-optional policies, or due to algorithmic monoculture, that is, when decision-makers rely on the same algorithms and data sets to evaluate candidates. We show that higher correlation for one of the groups generally improves the outcome for all groups, leading to higher efficiency. However, students from a given group are more likely to remain unmatched as their own correlation level increases. This implies that it is advantageous to belong to a low-correlation group. Finally, we extend the tie-breaking literature to multiple priority classes and intermediate levels of correlation. Overall, our results point to differential correlation as a previously overlooked systemic source of group inequalities in school, university, and job admissions.
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