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Tunnel Syndrome: AI's biggest weakness?

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As a developer, are you worried that AI is going to replace you? This is a valid concern, but let me put your mind at ease, chances are this is highly unlikely in 2025, or at any point in the near future.



Why am I so confident?!





The thing is, to be human, you are more than just a library of knowledge. You are filled with memories, emotions, and experiences. You are a being that can adapt to just above any environment and thrive even in the most impossible circumstances.



You have a worldview and consciousness.



AI on the other hand is frozen in time. You see, there is a reason why we call them "models" and each new iteration has a version number. Do you have a version number? No, because your knowledge and experience grow every second of every day.



Models have no consciousness, they are just algorithms that can parse, scan, and find patterns in a large corpus of information.



The version indicates that the model's cutoff knowledge base has just moved further down the line with more data and various improvements on both the dataset and the algorithm.



The LLM stops learning at this version cutoff, every conversation thereafter is just an interaction, and there's no impact on the model's persistent knowledgebase.






The World View



As human beings, we understand not only the knowledge we accumulate over time but also how that knowledge fits into the broader context of the world around us.



While we are not soothsayers(well most of us anyway), we do have the ability to see into the future to a certain extent and make decisions based on all three temporal dimensions: the past, the present, and the future.



To illustrate what I mean, here's an example:





To drive home the true meaning of "AI Tunnel Syndrome", let's look at another practical example. In the real world just writing code is not enough, you need to sit in meetings with non-technical people; they often don't understand their actual requirements, budget constraints, and various factors that could come into play when building out their application requirements.



Can you imagine a request: "We need something like Twitter, so we can all communicate internally with each other, share files, and even video call. Please can you build this for us?"



🤖: Sure, has access to the codebase, goes off, generates some Next.js code. Mostly works, but there is no auth integration so just about anyone can initiate a chat, also there's no mime validation on files, so one can upload just about anything, and finally, the UI has a logo of the old Twitter bird icon?!



👨‍💻: I ain't got 3 months to build that, we'll just set up Slack.



The human immediately identifies information beyond the prompt, the context, and the consequences of executing the task concerning time and budget constraints.



The AI, on the other hand, finds the relevant information and starts building but doesn't cater to many edge cases or even think about just using a pre-built solution like Slack.



💡The lack of this complete "big picture" view (which is second nature to human beings) is what I call "AI Tunnel Syndrome".






Enter the Agent



AI Agents



Agents are an interesting next evolution of AI models. They are like Symfony orchestrators, in that, they coordinate models so that they can accomplish much more complex tasks.



Agents suffer from "AI Tunnel Syndrome" to a lesser extent thus they can, in niche roles be drop-in replacements for actual human beings.



This is the future, AI agents working with humans side-by-side! More on that in a future article.






What do you think? Do you agree? Would love to hear your feedback and thoughts. Until next time, Thanks for reading!!

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