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The AI revolution: more than just technology

A laptop displays "what can i help with?"
A laptop displays "what can i help with?"
A laptop displays "what can i help with?"
Book
Book
Book

We live in a time where artificial intelligence (AI) is changing everything. Not as a temporary trend, but as a structural shift.
At Code for Good, we aim not only to follow that change but to deliberately and responsibly steer it.
Our mission is to transform the industry with technology, requiring insight into the latest developments, especially those of Large Language Models (LLMs).

Yet, it is fair to say: the world of AI sometimes feels like a new language.


The frontrunners: who is setting the course?

The big names OpenAI, DeepMind, Meta and DeepSeek are shaping this revolution.
Everyone is doing that in their own way:

  • OpenAI makes powerful AI applications widely accessible through cloud solutions.

  • DeepMind shows with models like Chinchilla that smaller, more efficient AI sometimes performs better than large models — and that is not just clever, but also more sustainable.

Additionally, AI is rapidly expanding beyond text. LLMs are learning to understand images, sound, and other forms of data.
This opens up huge possibilities: from analyzing satellite images to optimize agriculture to early detection of environmental damage.
This type of application demonstrates how AI can connect innovation and sustainability.


What does this mean for companies?

For organizations looking to innovate, there is good news: advanced AI is becoming increasingly accessible.
Open-source models and cloud solutions lower the threshold, but they do not automatically make implementation easy.
Successful deployment requires strategy and accountability:

  • Consider the right infrastructure and skills.

  • Carefully weigh the costs and benefits.

  • Start small: a well-designed pilot project is often the best start.

AI is not a switch that you turn on; it is a process that requires vision, knowledge, and focus.

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