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PC Gamer
PC Gamer
Jeremy Laird

Open AI co-founder reckons AI training has hit a wall, forcing AI labs to train their models smarter not just bigger

The OpenAI logo is being displayed on a smartphone with an AI brain visible in the background, in this photo illustration taken in Brussels, Belgium, on January 2, 2024. (Photo illustration by Jonathan Raa/NurPhoto via Getty Images).

Ilya Sutskever, co-founder of OpenAI, thinks existing approaches to scaling up large language models have plateaued. For significant future progress, AI labs will need to train smarter, not just bigger, and LLMs will need to think a little bit longer.

Speaking to Reuters, Sutskever explained that the pre-training phase of scaling up large language models, such as ChatGPT, is reaching its limits. Pre-training is the initial phase that processes huge quantities of uncategorized data to build language patterns and structures within the model.

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