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30 Jul 202616 Safar 1448 AH
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

Andrew Ho, a former OpenAI employee, and Cambridge researcher Adam Hunt have identified a growing issue with large language models. Instead of becoming more versatile, these models are becoming increasingly specialized, excelling in coding and mathematics while stagnating or regressing in other areas. Ho plans to leave OpenAI to start a company focused on specialized training data, predicting that AI labs will need to spend over $100 billion on targeted data collection.

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This summary is generated with AI and receives periodic editorial review. Refer to the original source for full details.

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