The democratization of AI stopped at the wrong layer
Democratization may be the AI industry's favorite word, and one that, in fairness, it has earned the right to use.
At the beginning of the decade, building anything with machine learning meant a large research team and a significant budget, and that put it out of reach for many.
Today, however, the barrier to using advanced AI has fallen almost entirely, and what used to be a quiet technology in the background has been thrust to the forefront of everyday work and everyday conversation.
But access is just the surface layer. Underneath it sits another layer which, arguably, matters more than access to AI itself, and that layer is training.
CEO and co-founder of Boltzbit.
Unlike access, model training has not been democratized at all. The industry has made it easy to consume a model and almost impossible to make one.
This needs to change.
A gatekeeper to innovation
If...
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