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The article discusses a talk by Jing Huang from Stanford NLP at the Summer of Data event, explaining that larger AI models retain rare skills better due to task interference and greater capacity.
Stanford NLP grad Yann Dubois discusses why AI progress suddenly feels real and the emotional rollercoaster of shipping GPT-5.5 in a conversation with Matt Turck.