Age of AI

Coming up to the year 2026, AI Race and human evolution have never been faster than now. It’s a transition era where automation is being a top priority for human, where we want human brains, which is the better feature than anything on Earth, most complex, and most creative and we want it to put effort to what matters, repetitive jobs are not matter, creativity jobs are matter, and the good thing that, we as a human can leverage very well the existing resources on Earth (the materials and whatever physical entities available) to do the works for us, especially physical intense works and repetitive works. The Industrial Revolution has provided humans with machinery and production lines that can make hundreds of millions of goods a day, from the simplest products like a bolt or a nail to a phone or a car that has thousands of parts. I cannot wait to be a part as well as see how Robotics and AI can make our lives much easier. But that means coming with a change needed for the existing workforce that might be replaced by AI. Where people need more education and transition from not using AI to using AI, from not using machines to using machines. It’s not all of a sudden people started having to use a computer with a keyboard and a mouse since the 1980s to the 1990s, and now we have the internet, software, and now with AI agents. People are not forced to be more productive, which means at the same cost but produce higher throughput. As a software engineer, it literally means that a software engineer must have more user stories done within a sprint.

Which tasks require more effort that I am not yet seeing AI agents can help, or at least I cannot leverage them yet, which is human communication. Basically, to understand the idea of my Product Owner and translate it into working software. Can an AI agent actually reduce meeting time and pull request review? Can we somehow make an AI agent to boost our understanding of human individuals?

Another thing I try to understand if AI can help, which is finding solutions. Overall, I view an AI agent as a library, which contains a huge amount of data that I can quickly search; it’s very good at presenting things in the form of texts (and sometimes diagrams) as well. It can give suggestions on solutions (which exist in its knowledge base), but it may not have enough context to provide a perfect solutions, which still need humans to tweak and fill the gaps.

After all, AI agents and AI software are great tools, and we as humans are progressing to a better civilized creature, leveraging an artificial brain built from dust (yes, literally AI brain like NVIDIA chips are coming from dirt), human brains are actually made from dirt too eventually, just think like meat we eat is coming from cow, cow eating grass and grass is growed from soil/dirts and sun lights. It’s amazing how everything works as a chain, and only the human brain can really make unimaginable things happen.

Speaking about the challenge of the year 2026, as I mentioned above that we have to adopt AI or we will be discarded from the labor systems, we don’t just need to learn more, but basically we need to change. It’s important to keep our brains active; otherwise, if they shut down, we will die. As I am seeing people growing old, they are more hesitant to change, which is basically shutting them down. But I can imagine that at a certain point in time, as well are aging, our brains are shutting down as well, so it’s a natural thing that is unavoidable, but as we are still at a young age, like below 35, it matters a lot to dive deep in learning and being productive and creative.

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