Around the beginning of this decade, AI labs noticed that making their algorithms—or models—ever bigger and feeding them more data consistently led to enormous improvements in what they could do and how well they did it. The latest crop of AI models have hundreds of billions to over a trillion internal network connections and learn to write or code like we do by consuming a healthy fraction of the internet.
https://singularityhub.com/2024/08/29/ai-models-scaled-up-10000x-are-possible-by-2030-report-says/
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