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How an astrophysicist uses Codex to help simulate black holes
University of Arizona astrophysicist Chi-kwan Chan uses OpenAI's Codex to write, debug, and refine the scientific code behind black hole simulations. Chan works with the Event Horizon Telescope collaboration, the international team that produced the first image of a black hole in 2019 and is now gathering data to make the first time-lapse video of a supermassive black hole. The simulations model the superheated plasma swirling near black holes and let scientists test Einstein's general theory of relativity against real telescope observations.

Radar Can Tell the Difference Between Insect Species
Bees and other pollinating insects play vital roles in food webs and crop pollination, yet monitoring them has proved difficult. That's why researchers have developed a radar system that could lead to a cost-effective, noninvasive way to track pollinators. Traditionally, identifying pollinators has proven tricky and time-consuming, and typically requires capturing and killing insects to get a close look at them. To find a better way to monitor pollinators, scientists are developing vision systems that use machine learning to automatically classify insects. However, these machine learning syste
AI CEOs transformed Davos into a tech conference
The World Economic Forum's annual meeting in Davos felt different this year, and not just because Meta and Salesforce took over storefronts on the main promenade. AI dominated the conversation in a way that overshadowed traditional topics like climate change and global poverty, and the CEOs weren't holding back. There was public criticism of trade policy, warnings about AI [...]