Pouring money into increasing computation resources and training data can still yield better AI models, Yao Shunyu says.

There remains considerable potential to enhance artificial intelligence models by scaling up computing power and data, according to Yao Shunyu, a senior research scientist at Google DeepMind and former researcher at US AI start-up Anthropic. Amid heated discussions in the AI community about the future of scaling – the process of increasing computational resources and training data to develop better AI models – Yao said the method was still expected to yield results for at least a year “until we…

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