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Sotheby's uses algorithms built by MIT alum to predict art auction prices

Kelly Shen, an MIT graduate from the class of 2017, works in Sotheby's art intelligence division, where she designs algorithms that forecast auction prices based on buyer trends and artist popularity. Her work also includes cataloguing art pieces and building real-time systems capable of handling thousands of simultaneous bidders on the auction house's website.

Study finds infants outpace AI chatbots in language-learning efficiency

MIT Technology Review spoke with cognitive scientists comparing how babies and large language models acquire language, finding that infants learn to speak proficiently after hearing only 10 to 30 million words, while LLMs require vastly more data to approach similar fluency. Stanford's Michael C. Frank noted that training a model like GPT-2 on the same word count a toddler hears produces a 'nonsense generator,' not coherent speech.