Oliver Morina (@OliverMori20306)

How can AI increase our work capacity as a content entrepreur in 2026? My experience with using X for over a month now: That depth combined with content creation is two of the best bets I have with making it. I think everyone should give content creation a try, its not just about posting things, its about starting to create. “And with AI you can create endlessly”. What I mean by this: First of, its important to note that, don’t use AI to make your content, its still highly impactful if you, yourself do it. AI can help you, and increase your work output, and I will give you one example. But like I said, keep it original. Now lets Imagine if you have one idea, and you write about it. then a problem occurs. “what if you want to write more, or extend the ideation process?”. Becuase content ceation is hard enough as it is, but it does not have to be.

I recently listen to the book "Life 3.0" written by Max Tegmark. And I had an intresting question pop up in my head, "does our brain follow any computational laws, or a biological built brain?" The only thing I found on this was: That the brain acts as a probabalistic, energy-saving prediction machin. When the brain meets the real world, it main law is to conserve energy, and it has done this to also make our brains highly usable as well. Becuase the probabalistical machine is also an advantage, it makes our brain incredible powerful. As we know it: "And the brain actively generate a top-down mental representations, however uses external input to rework brains own representation." So the brain does not just generate pre mental representations that the brain has stored based on past expereinces. But it also will rework those mental models, based on the external input it recives, so it also has an error-correction mechanism built with it. However the error correction requires energy, but if the pre-built representation is correct, then their is little to none energy wasted. But if this is the case, would that mean that “every time” we learn something new, and expand on it, retreive it. Does it decrease energy cost of having that representation retreived by the brain? Another computational law, that biological systems seems to follow is “FEP - Free Energy Principle", its the law to perserve and waste as little energy as possible. And the biological structure seems to have this principle built into it. To make a short summary of “computational laws a biological system (our brain)” follows: - Probabalistic machine by generating mental representations. - Errors correction if the generate mental shcemas are incorrect based on th external input. - FEP (Free Energy Principle). I just want to say, I am not an expert, just someone trying to learn intresting information, explore different thoughts. And if I am incorrect about something correct me down below. If you want to take the discussion further, or add something more, do it down below or write to me via message here on X.