#science

2928 posts · Last used 5h

Researchers have found that snowstorms are delivering vast numbers of tiny plastic particles to remote reaches of California's Sierra Nevada mountains. Snowmelt is a major source of fresh water for the state. Read more on E360 → https://e360.yale.edu/digest/sierra-nevada-snowfall-microplastics #Environment #Climate #Science #Yale #ClimateDiary #ClimateCrisis #Nature
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Plug-in cars, including both plug-in hybrids and fully electric vehicles, accounted for two in three new passenger vehicles sold in China in September, according to industry data. Read more on E360 → https://e360.yale.edu/digest/china-september-2026-plug-in-car-sales #Environment #Climate #Science #Yale #ClimateDiary #ClimateCrisis #Nature
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Sixteen years after an explosion on the Deepwater Horizon oil rig unleashed more than 4 million barrels of oil into the Gulf of Mexico, life in the deep sea has yet to recover. Read more on E360 → https://e360.yale.edu/digest/deepwater-horizon-deep-sea-recovery #Environment #Climate #Science #Yale #ClimateDiary #ClimateCrisis #Nature
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This post on the MIT CSAIL blog really upset me today. It's a fascinating and potentially important finding that throws doubt into many assumptions about how deep learning works, but it's claims are hyperbolic and anthropomorphizing to the point of being unscientific. Here they show that a particular LLM could do several "neat tricks" in interpreting, modifying, and generating the weights for another neural network. This result is extraordinary, because these weights are notoriously unintelligable, and generally can only be set by arduous, expensive training processes. I'm genuinely shocked that this works (assuming it replicates). This could have profound consequences for all sorts of things, from efficiency, to development, and interpretability. What they did not do is show that LLMs can understand weights, read and write them, or optimize them using reasoning. #science #llm #ai (1/2)
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More than a year after a devastating wildfire destroyed the Hawaiian town of Lahaina, residents were found to have high levels of arsenic and other toxic metals in their bodies. Read more on E360 → https://e360.yale.edu/digest/lahaina-fire-toxic-metals #Environment #Climate #Science #Yale #ClimateDiary #ClimateCrisis #Nature
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