Tootfinder

Unprovoked attacks from wildlife may be rare,
but that's never an excuse to do what one unidentified man did back in October in Yellowstone National Park.
Photographer Keith Allen Kerbs captured a chilling moment when
a man approached a pack of five wolves, while onlookers looked on in horror.
The video, which went viral in November, shows the man coming within a few feet of one of the wolves before spraying them with what appears to be bear spray.
The tense …

Yellowstone Visitors Left Horrified After a Man Approaches a Pack of Wolves
The man was located after the wold encounter.

"Study busts big bad myth that wolves are growing fearless of humans"
#Wolves #Animals
https:…

Study busts big bad myth that wolves are growing fearless of humans
After years of being hunting to near-extinction, wolves are making a comeback in some of their historical ranges in Europe and North America. With their return comes a growing concern that the predators are moving too close to human settlements, becoming bolder and less fearful of people. Researchers set out to see if that’s true, […]

So this is how my browser homepage looks like :among_us_red:
So fedi now I want to see your one..
#browser #homepage #frontend

In #Breuna entstehen bis 2028 zwei neue #Windenergieanlagen vom Typ Vestas V162.
Sie sollen jährlich rund 10.000 Haushalte mit #Strom versorgen und etwa 27.000 Tonnen CO2 einsparen. Die St…

Breuna erhält zwei neue Windenergieanlagen bis 2028
Die VSB Holding GmbH baut in der Gemarkung Breuna zwei Anlagen, die jährlich rund 27.000 Tonnen Kohlendioxid einsparen sollen.

Tokenization Disparities as Infrastructure Bias: How Subword Systems Create Inequities in LLM Access and Efficiency
Hailay Kidu Teklehaymanot, Wolfgang Nejdl
https://arxiv.org/abs/2510.12389

Tokenization Disparities as Infrastructure Bias: How Subword Systems Create Inequities in LLM Access and Efficiency
Tokenization disparities pose a significant barrier to achieving equitable access to artificial intelligence across linguistically diverse populations. This study conducts a large-scale cross-linguistic evaluation of tokenization efficiency in over 200 languages to systematically quantify computational inequities in large language models (LLMs). Using a standardized experimental framework, we applied consistent preprocessing and normalization protocols, followed by uniform tokenization through …