All of this connects to something bigger I think about a lot.
The technical gap between the African continent and the rest of
the world is widening fast, especially in AI and language
technology. But the gap isn't about talent. Africa has brilliant
people, researchers, and builders. What's missing is the
infrastructure and the accessibility.
And accessibility is doing a lot of work in that sentence. It
means students in higher education without reliable access to a
computer. It means networks that drop in and out. It means
someone who is curious and motivated and ready to learn, but
hits a wall because every tutorial, every model, every
interface assumes a language they don't speak. These aren't
edge cases. They're the everyday reality of millions of people
the technology was supposedly built to help.
Generative AI is one of the most powerful resources of our
time, and every person should have the ability to use it and
understand it! So part of why I do this work is to help bridge
that gap. Not by deciding from the outside what Africa needs,
but by supporting the people already building, and by working
on tools that meet people where they actually are.
One thread I'm especially interested in: most of the AI being
deployed today is trained largely on Western data, which means
it doesn't really understand African contexts —
socioeconomic realities, living situations, food, family
structures, the texture of daily life. I want to work on models
that aren't just usable by Africans but actually understand
them. An Africa-centred LLM is a project I'm planning to
explore.
Closer to home, I'm also looking at ways to improve life for
people back home in South Africa through initiatives focused
on the youth. More on that as those projects take shape; a few
live on the projects page.