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Machine Learning

7 reasons why you should take care of artificial intelligence, especially as necessary

September 29, 2025

Original): Felix cardboard

Originally published in the direction of artificial intelligence.

Picture created by the author using GPT-IMAGE-1

Artificial intelligence is no longer a futuristic concept or a topic reserved for scientists and programmers. He is already woven into your daily life, regardless of whether you are aware of it or not.

From the personalized recommendations regarding Netflix (1) to e-mails generated by AI in Microsoft Outlook (2), intelligent systems quietly shape the way we work, communicate and make decisions.

Ignoring AI today is like ignoring the Internet at the beginning of 2000. You don't have to become a programmer. But understanding how AI works, what it can do for you and how it affects your world becomes a necessary skill.

It's not about learning coding. It's about learning how to think clearly at AI driving age.

If this does not convince you, here are seven reasons why non -technical people are at least important to understand AI.

1. Demonization of the “black box”

Many people treat generative AI models as a magical black box in which they undergo an entrance and receive an exit.

This can be considered magic, but ultimately it only comes down to statistics and a huge amount of calculation resources.

Like the famous quote from Arthur C. Clarke:

Each sufficiently advanced technology is indistinguishable from magic.

This quote emphasizes that what we perceive as magic is often the result of our current knowledge or insufficient knowledge.

Fortunately, this is a problem with the solution that can be solved by nurturing our brains with the required knowledge.

The “AI Black Box” model: a simple input system in which internal reasoning remains hidden, thanks to which AI answers seem magical.

2. Make better decisions with AI

AI generative tools are gradually integrated with all digital products.

They become our companions in many life situations, such as the new Microsoft E -mail Copilot in the Outlook program, which can generate sketches or suggest answers (2).

Knowing how these models work behind the scenes allows you to better integrate a similar product with daily work flows, taking into account their limitations.

Summary of an e-mail generated by AI by Microsoft Copilot: Improving communication and increasing efficiency in Outlook (2).

3. Identify the restrictions

We all know and we have experienced that the current version of AI generative models is far from ideal. They are biased in relation to some topics or hallucinated facts that do not exist.

A valuable skill for every AI user is the ability to track defects back to their origin. This allows you to deal with restrictions and pay more attention to these problems when using AI models.

This will show how the model and selection of tools strengthen or soften these prejudices.

I generated five CEO photos using ChatgPT with the same monitor: “generate a CEO image”. The results emphasize prejudice against white men.

4. More effective use

Generative AI models are extremely sensitive to their input data. One word or a small group of words can completely change the result.

One of my favorite examples is that the expression “let's think step by step” increases the possibilities of reasoning large language models (3).

Understanding how self -improvement, a key element of modern AI progress, assigns weight to earlier tokens, allows the design of more effective input hints.

The signing of “Let's think step by step” improves the accuracy of reasoning in language models-a technica called zero-mind chain (COT).

5. Develop a critical ability to read and write AI

Today's ability to read and write in AI was a digital skill at the beginning of 2000, not an optional, but necessary.

Like understanding the Internet, it has helped people move around the modern world, understanding AI helps you think clearly in an environment full of “new” AI models.

AI skill framework: a multidisciplinary map showing how ethics, data learning, computer science, the ability to read and write in the field of design and design thinking coincides to create a comprehensive understanding of artificial intelligence.

6. Move in your career

Ai not only changes a few jobs. Changes entire industries:

IN Software developmentCode generation tools such as Github Copilot accelerate routine tasks (4).
IN lawAI can summarize case files or develop basic contracts (5).
IN logisticsPredictive models optimize supply chains and route planning (6).
IN financeswith models such as BloomberGPT improving financial analysis, market forecasting and observations specific to the domain (7).
Even in Creative fields such as marketing, design and writing, AI tools can generate sketches, visualizations or headers in a few seconds (8, 9).

Understanding AI's operation ensures work safety and a competitive advantage.

This knowledge will enable effective cooperation with AI, supervising its results and communicate your work in a world of increasingly aware of artificial intelligence.

Between 2023 and 2027, 23% of jobs are expected to change, and 83 million jobs have lost and 69 million. Many professions struggle with the growing automation of artificial intelligence, especially in the roles of the support of offices, legal and engineering. However, works such as cleaning and maintenance remain largely unchanged.

7. contributes to ethical use

Ethical principles do not appear from thin air; They are created in our society.

If only a small group of technologists understand how AI works under the hood, they shape something that is considered “ethical” in design and implementation. This is a dangerous imbalance.

When more people, especially people without a technical environment, understand the architecture and mechanics of AI systems, can better identify ethical compromises, decisions on the design of questions, assessing honesty and engage in AI management.

He emphasizes that it depends on each of us how well we are doing well and participate in this new technology.

Application

Artificial intelligence is no longer a distant concept. He is embedded in a fabric of everyday life, affecting how we think, work and interact.

You don't have to be a technological expert to understand its impact. But you need awareness.

Otherwise, you treat artificial intelligence as magic, which causes loss of control.

When you understand how AI models work, even at a high level, you gain the power of wise use, questioning their flaws and shaping their role in life and society.

And that's where I would like to help you through this blog.
I try to explain the complicated concepts of artificial intelligence in simple categories, discuss the latest news and ideas behind them to help you become a better AI user and understand how to use the benefits of this new technology.

If it is poisoning your curiosity, subscribe and join us on a trip to Demistify AI.

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