The chief executive of Microsoft AI says skeptics are wrong to predict that AI scaling will hit a ceiling.
In a new post on X, Mustafa Suleyman says AI is on the cusp of exponential expansion across data, compute and capability.
According to Suleyman, AI scaling skeptics who believe that models will plateau due to data limitations, energy consumption and other reasons are on the wrong side of history.
“We’re not hitting an AI ceiling. Here’s why the AI scaling skeptics are wrong. Exponentials help us understand everything that’s going on in AI. For thousands of years, we lived in a linear world. Two apple trees produced about twice as many as one did. Walking half as far took half as long. AI broke that mold, and our imaginations haven’t yet evolved to catch up.
Since I began work on AI in 2010, the amount of training data that goes into frontier AI models has grown by one trillion times. It’s taken us from models that can sometimes identify cars in photos to models that can act autonomously for up to 12 hours at a time, using different apps, taking actions.”
Suleyman highlights that AI is in the midst of an exponential explosion that even Moore’s law itself can’t keep up.
“Now consider that we’re looking at something like another 1000x in effective compute by the end of 2028. Training a language model that took 167 minutes on 8 GPUs in 2020 now completes in under 4 minutes on equivalent modern hardware. That’s a 50x improvement, when Moore’s would predict only 5x.
Skeptics who keep predicting these ‘walls’ AI will hit often point to a slowing of Moore’s law, when in fact, Moore’s law seems to be underestimating what’s possible. Sometimes they point to energy constraints. Meanwhile, solar costs have fallen nearly 100x over fifty years; battery prices have dropped 97% over three decades. There is a pathway to clean scaling coming into view.”
The Microsoft AI CEO says it is now time to reimagine what’s possible, as breakthroughs in multiple industries are coming.
“Impressive stats aside, what does this mean for us? It means we’re standing at the precipice of cognitive abundance. Previously impossible benefits are in sight if not already within reach, from new healthcare cures to scientific breakthroughs.”
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