Likhwa Tech

Building Centrigon — One Piece at a Time Shipping the first small piece of a much bigger system Every time an African developer talks about building a global tech product, the same criticism eventually appears. “Why not focus on African problems instead?” “AI startups from Africa are unrealistic.” “You’re competing with companies that have billions of dollars.” To be fair, it’s not a completely unreasonable reaction. The companies pushing the boundaries of modern AI today—like OpenAI—operate with enormous research teams, infrastructure, and funding that runs into the billions. So when someone building from Africa says they’re working on something ambitious, the default assumption is that they’re either naïve or wildly optimistic. For what it’s worth, I’ve heard those criticisms more than once. But that’s partly how Centrigon started. The Moonshot Centrigon isn’t meant to be just another app. The long-term vision is a system that is: multimodal persistent au...

I recently watched a video of a  Maxwell Chikumbutso ,  Zimbabwean inventor who created a self powering car that runs on radio waves.¹ As I marveled at his ingenuity, I couldn't help but think of the countless possibilities that this innovation could unlock. In a world where sustainable energy solutions are increasingly important, a car that runs on radio waves is more than just a novelty - it's a potential game-changer. But as I continued to watch, I couldn't shake off the feeling that this inventor's story is all too familiar. We've seen this story play out before: a brilliant idea, a promising start, but ultimately, a lack of support to take it to the next level. The issue isn't just about funding; it's about the lack of policies, frameworks and infrastructure to support innovative projects like this. He needs funding to scale up his prototype, but we don't have a venture capital ecosystem in Zimbabwe.² He's likely received some funding- enough t...

Can Africa’s AI Ecosystem Thrive Without a Facebook or Google Equivalent? Is a Homegrown Giant Necessary for Growth? Over the past few weeks, I've spent my spare time posting short tutorials about AI and startups on my WhatsApp status, mainly for my contacts. The goal is to encourage people to get involved in tech. However, it often feels like I'm selling a pipe dream, as most people here, don't have the luxury to pursue such projects. Many are focused on survival and immediate returns. I've also heard many people tell African founders to focus on solving "African problems" . While this sounds noble, I've had to ask myself: what exactly are African problems? I'm always fascinated by the work that people like Mark Zuckerberg, Elon Musk, and others are doing—building rockets to Mars, virtual reality, and all that cool stuff. That's not really tackling hunger now, is it? So it makes me wonder: why don't we have new breakthrough innovations coming...

  Hi there, my name's Likhwa and welcome to Building Africa's Next Tech Unicorn. on this platform I give a behind the scenes look at what it takes to build a startup within the African context. In today's video, I'll be doing something different- I'll be talking about how you can stay safe online. This isn't meant to scare you or get you all paranoid, but to help you be more vigilant in protecting yourself and your loved ones from cyber threats.  Most people underestimate the dangers of the internet, but the more I am exposed to it, the more I wish I didn't need it. At times I wish I could just disconnect, get rid of all my devices and not have to worry about the constant threats that come with being online. I believe some of us are fortunate by default- especially those who live in countries like my Zimbabwe- because we hardly use credit cards to transact online and even when we do, its not like we have a lot of money- otherwise we would be a hacker's g...

The paper Reimagining Artificial General Intelligence: A Human-Centric Approach presents a new vision for the development of AGI systems. In this paper, I propose a redefinition of Artificial General Intelligence (AGI) as: a system capable of independently understanding, learning, and performing a wide range of intellectual tasks that a human can, while proactively interacting with humans in a natural, adaptive, and context-aware manner, across multiple modalities and environments. This summary provides an overview of the paper's key insights and takeaways The pursuit of Artificial General Intelligence (AGI) has long been driven by a singular question: what does it mean to create truly intelligent machines? As we stand at the threshold of a new era in AI development, it's clear that the answer to this question will have far-reaching implications for the future of human-AI collaboration. This paper proposes a human-centric approach to AGI, prioritizing interaction, adaptability...

Why We Need a Human-Centric Redefinition of Artificial General Intelligence A few weeks ago, I started working on Artificial General Intelligence (AGI). At the time, I wasn’t entirely sure where the road would lead—I was just curious. AGI, after all, is considered the next frontier in AI, something that goes beyond what we see in current systems. However, unlike previous technological advancements, I didn’t want to be a spectator in that future; I wanted to be involved, to be an active player—an architect—helping to shape what that future would look like. AGI promises to be something that can think, learn, and adapt across a broad range of domains—more like a human mind, as opposed to the narrow, task-specific AI we’re familiar with today. But as I dug deeper into AGI, I realized something important: as things stand, no one really knows what AGI will look like. To truly build it, we need to start with the basics—a vision. Most definitions of AGI out there focus on the idea of mimic...

The Self-Taught Developer's Dilemma: Overcoming Knowledge Gaps As most of you know, I'm a self-taught developer. I always mention this- not to brag, but rather as a disclaimer, and maybe, just maybe... to earn a little bit of sympathy for my shortcomings. Driven by curiosity, I've acquired most of my knowledge through online courses, tutorials, articles, and a lot of trial and error. Whenever I delve into a subject, I take a hands-on approach: breaking it down into its smallest parts, building from scratch, and trying to learn as much as I can about it. However, I recently had a humbling experience that made me appreciate the importance of formal, or at least structured, education. I was watching a video where Mark Zuckerberg discussed their LLaMA model, and at some point he mentioned 4.5 billion parameters. I know what parameters are, so I had an idea what he meant, but much of it sounded like Greek to me. Like, I can understand say, 100 or even a thousand parameters, but...