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Ex-OpenAI researcher bets $100 billion will flow into training data because scaling alone won't cut it

Ex-OpenAI researcher bets $100 billion will flow into training data because scaling alone won't cut it

Former OpenAI researcher Andrew Ho and Cambridge researcher Adam Hunt argue that scaling models alone may not improve broad capabilities, as gains concentrate in coding and math. Ho is starting a company focused on specialized training data and predicts AI labs could spend over $100 billion on targeted data collection.

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