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AI's weather forecasting wizardry

Hey everyone, it’s Fry Guy here to wrap up your week with the latest and crispiest news in the world of AI—let’s see what’s in the frier for today! 🍟

Today’s Menu

Appetizer: AI’s weather forecasting wizardry 🌦

Entrée: Elon Musk praises China’s AI capabilities 🇨🇳

Dessert: Is OpenAI saving humanity? 🙏


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Q: What’s the difference between weather and climate?

A: You can’t weather a tree, but you can climate. 🌲

What’s new? Chinese tech company, Huawei, has developed a new AI model called “Pangu-Weather” which can can predict weekly weather patterns around the world much more quickly and accurately than traditional forecasting methods.

How was it developed? Researchers at Huawei constructed Pangu-Weather by developing a deep neural network that utilized 39 years of reanalysis data. This network integrates historical weather observations with contemporary models. In contrast to traditional approaches that examine weather variables individually, a time-consuming process which can last hours, Pangu-Weather can analyze all variables simultaneously within a matter of seconds.

Why is this important? If adopted, these models could be used alongside conventional weather predicting methods to more accurately and efficiently predict bad weather, which will give people more time to prepare. ☔️

What are the limitations? Lingxi Xie, a senior researcher at Huawei, said one area to be further developed is AI’s ability to track the severity of weather. Xie said, “AI will tend to underestimate extreme weather.” Nevertheless, additional AI models could provide support in that regard. One such model, NowcastNet, utilizes a physics-based generative approach to forecast extreme rainfall much quicker than conventional methods. While existing deep-learning tools like DeepMind's DGMR can estimate the probability of rainfall within the next 90 minutes, NowcastNet surpasses them by successfully predicting intense rainfall up to three hours ahead. Combining this sort of system with Pangu-Weather could lead the way to the future of weather prediction.


Elon Musk and Mark Zuckerberg have been talking about fighting each other in mixed martial arts, and I’m betting my fries on Zuck. 🍟

What happened? Yesterday, Elon Musk gave a video presentation during the opening ceremony of 2023 World Artificial Intelligence Conference in Shanghai, China. In his speech, he excessively praised China’s AI capabilities, causing some to question why.

What did he say? Some quotes from Musk include:

  • “China’s going to be great at anything it puts its mind to.”

  • “I think there’s a tremendous number of very smart, very talented people in China.”

  • “I’ve always been a tremendous admirer of the sheer amount of talent and drive that exists in China.”

  • “I think China will have very strong AI capability.”

Why is this relevant? The U.S. and China have been in a bit of an AI competition over the past year, and Musk’s comments were made amidst the backdrop of the U.S.’s AI chip ban on China. Musk is seen as an obvious world tech leader, and his comments raise eyebrows as to whose side he’s on. Many believe that Musks’ comments were less about him taking the side of China over the U.S. but are rather about Musk trying to relieve tensions due to his significant business interests in China, where Tesla has a major factory and massive consumer market.


Maybe we won’t be extinct after all! I need to celebrate with some extra salty snacks. 🧂

What’s new? OpenAI announced plans to establish a new unit called Superalignment AI, which will aim to ensure superintelligent AI does not have detrimental effects to humanity or lead to human extinction.

What is superintelligent AI? Superintelligent AI is AI which possesses intelligence that surpasses human capabilities. Although OpenAI says this level of AI will probably not develop until about 2030, the imaginable threats to humanity are scary, and measures need to be put in place to prevent harm. Because there is currently no established framework to control and direct a potentially superintelligent AI, the importance of taking proactive measures is vital.

How will this work? The objective of Superalignment AI is to assemble a group of exceptional machine learning researchers and engineers with the purpose of creating a "roughly human-level automated alignment researcher" that approximates human-level capabilities. This researcher will have the responsibility of performing safety evaluations on superintelligent AI systems.


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Trahenots gave us a fresh and crispy and commented, “love it as always, keep up the great work!”

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