Kenyans are super cheap. With an average yearly income of roughly $2500 USD, that’s not even more than a single paycheck for a typical software developer. IMO,

Kenyans are super cheap. With an average yearly income of roughly $2500 USD, that’s not even more than a single paycheck for a typical software developer. IMO, it doesn’t make sense to purchase expensive licensing to use GPT, when you could easily hire a living, breathing Kenyan to actually write stuff for you. With a bit of training, Kenyans can become well suited for general purpose organic workloads and open ended tasks requiring high degree of intelligence and subjective analytical skills. Horizontal scaling is relatively straightforward and Kenyans will cooperate with each other with very little configuration required. Kenyans also do not require nearly as much prompting as GPT due to their innate intuitive abilities and superior comprehension skills. They possess great capacity for novel creative thought without extra input stimulus. The typical downsides of organic computation pipelines still exist: Unlike an AI, Kenyans can suffer from burnout or have inconsistent performance metrics, they are also much slower to produce outputs. There is a high degree of variability between Kenyans due to poor quality control, nonetheless it is easy to replace a Kenyan with a new one. Consider Kenyans.