Tootfinder

At least 2/3 of Americans aren’t daily coffee drinkers. ☕️
Wait, they are.
Well, at least hundreds of millions of American coffee drinkers don’t drink an average of 3 cups a day.
Wait, they do.
Folks, these are #TrumpTariffs, taking money from the American people.
via @…

Today's early best bets to target: Top MLB predictions, college football picks, including Cubs vs. Rays Over

https://www.cbssports.com/betting/news/t…

Continents have lost so much water to the ocean since 2002 that they have surpassed ice sheets as the biggest contributor to global sea level rise, a new study reveals.
Almost 70% of this loss is due to unchecked groundwater extraction,
which removes water from deep aquifers and eventually transfers it to the ocean, researchers found.
Together with rising rates of evaporation due to climate change, this has caused rapidly drying "hotspots" to merge into four &quo…

'Like a creeping mold that's spreading across the landscape': Separate dry areas around the world are merging into 'mega-drying' regions at an alarming rate, study finds
Unchecked groundwater extraction and climate change have dried continents significantly over the past 22 years, with 101 countries now losing fresh water to the ocean, research reveals.

Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
Andrea Nasuto, Stefano Maria Iacus, Francisco Rowe, Devika Jain
https://arxiv.org/abs/2508.06435

Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
Large language models (LLMs) are transforming social-science research by enabling scalable, precise analysis. Their adaptability raises the question of whether knowledge acquired through fine-tuning in a few languages can transfer to unseen languages that only appeared during pre-training. To examine this, we fine-tune lightweight LLaMA 3.2-3B models on monolingual, bilingual, or multilingual data sets to classify immigration-related tweets from X/Twitter across 13 languages, a domain character…

Es wurde ja erwartet, aber tatsächlich fand ich den Punkt der Verstärkung bestehender Ungleichheiten bislang stark unterrepräsentiert in der Berichterstattung.
KI-Bias bei Gehaltsratschlägen: Wie Sprachmodelle Frauen systematisch benachteiligen - Notebookcheck.com News

Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science
Stephen Kasica, Charles Berret, Tamara Munzner
https://arxiv.org/abs/2507.07238

Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science
The work involved in gathering, wrangling, cleaning, and otherwise preparing data for analysis is often the most time consuming and tedious aspect of data work. Although many studies describe data preparation within the context of data science workflows, there has been little research on data preparation in data journalism. We address this gap with a hybrid form of thematic analysis that combines deductive codes derived from existing accounts of data science workflows and inductive codes arisin…

If you burn fossil fuels (and have no plan to migrate to an EV & heatpump or similar), plus you buy a lot of plastic (made from fossil fuel) and acrylic/polyester clothing - well I hate to break it to you, but you cannot make up for this by being a vegan or re-posting toots from a Kindness to Animals NGO.
Those animals you want to be nice to require a clean world with a normal climate in order to survive (incidentally, so do we).

Today's early best bets to target: Top NFL, college football, NFL picks, including Packers vs. Commanders

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

Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
Nhi Hoai Doan, Tatsuya Hiraoka, Kentaro Inui
https://arxiv.org/abs/2507.07810

Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
This paper investigates the relationship between large language models' (LLMs) ability to recognize repetitive input patterns and their performance on in-context learning (ICL). In contrast to prior work that has primarily focused on attention heads, we examine this relationship from the perspective of skill neurons, specifically repetition neurons. Our experiments reveal that the impact of these neurons on ICL performance varies depending on the depth of the layer in which they reside. By comp…

Today's top games to watch, best bets, odds: Commanders at Packers, Mets at Phillies, ACC football and more

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