The Growth of AI.

Felix Waweru
3 min readDec 11, 2023

Something very exciting has been happening on Earth this past year. If you’ve been on the grapevine, there’s no doubt that you have heard the word Artificial Intelligence pop up somewhere. From news stations and boardrooms, to memes and conversations, AI has been a hot topic lately after the emergence of ChatGPT and its meteoric rise to become the fastest growing app of all time.

This has all been due to the recent breakthroughs in Machine Learning and Generative AI, however, if we want to fully understand this shift, we need to go back a few decades to see how we got to where we are today.

“I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.”

– Alan Turing

The Evolution

The journey of AI began with humble roots, as most great things do, when researchers decided to explore the concept of machines simulating human intelligence. Early AI systems were very limited in functionality, but as computing power increased and algorithms became more sophisticated, the field experienced a gradual shift. Similar to Moore’s law, the growth started out slow but eventually, the curve of development began to take an exponential path.

Breakthroughs in machine learning, a subset of AI, enabled systems to learn from data and improve their performance over time, marking a significant milestone in the evolution of AI. This was the rise of deep learning, with its multi-layered neural networks which helped propel AI to new heights, enabling it to excel in tasks such as image recognition and natural language processing.

Eventually, AI even began to excel in playing complex games like chess and I have admittedly lost a couple of games to an AI before. To be fair though, so has Kasparov.

AI in Everyday Life

Over the years, AI has integrated into our daily lives, and what was once a novelty is now a daily requirement. Virtual assistants like Siri and Alexa use natural language processing to understand and respond to our commands.

Recommendation algorithms on social media sites, streaming platforms and e-commerce websites now leverage AI to suggest content and products tailored to the preferences of millions of unique users simultaneously.

The business landscape has also been significantly influenced by AI, with organizations using it to boost efficiency and decision-making to levels that were impossible just a few years ago. AI-driven automation in sectors like Software Development has helped streamline processes and reduced costs significantly for businesses.

Challenges and Ethical Considerations

While the growth of AI presents numerous opportunities, we also have to stay vigilant of the challenges and ethical considerations that come with this technology. Concerns about job losses, biased algorithms and the potential misuse of AI have sparked important conversations about responsible AI development and deployment. This is a huge undertaking and it is up to us collectively as a species to ensure that this technology is built responsibly with the benefit of humanity as a priority.

Looking Ahead

Right now as we embrace the growth of AI, we stand at the cusp of a new era; a moment that is experienced once every few generations. Continued advancements in AI research, coupled with increasing collaboration between interested parties and policymakers will help shape the future of AI.

The growth of artificial intelligence has been a remarkable journey, transforming the way we live and work. As we navigate the future, it is important to approach AI development responsibly, addressing every challenge and ethical concern so that we can harness its full potential for the betterment of humanity.

This is only the beginning and the next chapter in the AI story promises to be even more exciting as we charter new frontiers and unlock technologies that were science fiction not even a century ago.

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Felix Waweru

Kenyan software developer engineering unique problems and solutions.