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inflation. prices fell dramatically last month for manufacturers. of course, those costs passed down to consumers eventually. the flip side, there are still banking fears simmering, futures way down ahead of the opening bell, you can see there. what all of this means as we get another big decision coming, that is, the feds, whether it will raise interest rates again. plus this morning escalating tensions after an alarming encounter over the black sea, a russian fighter jet colliding with an unmanned u.s. drone. that $23 million aircraft then crashing into the sea and the race is no...

Francisco Tourinho is a Brazilian Calvinist apologist. He described his theological credentials on my Facebook page: I have the respect of the academic This is my reply (3rd round, part 2) in an in-depth debate on justification and comparative soteriology, with Brazilian Reformed Baptist apologist Francisco Tourinho.

Down, krill goes down and hamp back whale pregnancy weights go down. we were using darts on crossbows, that's how you give a pregnancy test to a haumpback whale. penguins and whales are our metaphorical canaries. what's happening down there, the water is heating up so much, melting that sea ice and we worry about our lives being impacted at sea levels, from miami to shanghai with one of those big glaciers breaks loose. >> such stunning pictures, i'm envious but also tremendously important reporting. so you actually found some hope down there. please share it. >> i did, jim. i did. i came away ...

The recent emergence of deepfake videos raises theoretical and practical questions. Are humans or the leading machine learning model more capable of detecting algorithmic visual manipulations of videos? How should content moderation systems be designed to detect and flag video-based misinformation? We present data showing that ordinary humans perform in the range of the leading machine learning model on a large set of minimal context videos. While we find that a system integrating human and model predictions is more accurate than either humans or the model alone, we show inaccurate model predi...