Things to Do in L.A. Tap to enable a layout that focuses on the article. The fall of once-mighty McClatchy newspapers underscores California's news crisis This is read by an automated voice. Please report any issues or inconsistencies here . See more from the L.A. Times in Google Search. Dan Walters describes working for the Sacramento Bee several decades ago as "like living in Sweden."

Meta is under pressure to explain why it cancelled a major contract with a company it was using to train AI, shortly after some of its Kenya-based workers alleged they had to view graphic content captured by Meta smart glasses. In February, workers at the company, Sama, told two Swedish newspapers they had witnessed glasses users going to the toilet and having sex . Less than two months later, Meta ended its contract with Sama, which Sama said would result in 1,108 workers being made redundant. Meta says it's because Sama did not meet its standards, a criticism Sama rejects. A Kenyan workers' organisation alleges Meta's decision was caused by the staff speaking out.

A diversity of tasks use language models trained on semantic similarity data. While there are a variety of datasets that capture semantic similarity, they are either constructed from modern web data or are relatively small datasets created in the past decade by human annotators.

In the U.S. historically, local newspapers drew their content largely from newswires like the Associated Press. Historians argue that newswires played a pivotal role in creating a national identity and shared understanding of the world, but there is no comprehensive archive of the content sent over newswires. We reconstruct such an archive by applying a customized deep learning pipeline to hundreds of terabytes of raw image scans from thousands of local newspapers. The resulting dataset contains 2.7 million unique public domain U.S. news wire articles, written between 1878 and 1977. Locations in these articles are georeferenced, topics are tagged using customized neural topic classification, named entities are recognized, and individuals are disambiguated to Wikipedia using a novel entity disambiguation model.

Project Acoustic Kitty went about as well as you'd expect. The CIA tried to train cat spies. Breakthroughs, discoveries, and DIY tips sent six days a week. Here's the scene: A man wearing a trench coat and a fedora sits on a park bench, looking up frequently from his newspaper to cast furtive glances at passersby. A stray cat wanders by.

The learning rate is 2e-5 with 100% warm up and a batch size of 32.

A diversity of tasks use language models trained on semantic similarity data.

In the U.S. historically, local newspapers drew their content largely from newswires