DeepSeek is a reminder to approach the AI unknown with caution

There was a lot of excitement and headlines created by the last Deepseek launch. Although the technology behind this last repetition of the Impressive IQ is undoubtedly impressive, it is in many ways that its arrival surrounds the state of artificial intelligence today. This means, it is interesting, promising and perhaps a little.

I wonder if this may be part of the generations. The Baby Boomer generation was the first to be widely employed, and this regiment has learned work lessons in the difficult way. The projects must be costly because technology was expensive and needed to attach them to a strong investment return. The projects were slowly put forward because they were complicated and it was necessary to align with a specific commercial need, supported by those with the right interests. “Project Creep” was fearful and often the relationship between her and “business” is risky and complex, characterized by mutual suspicion.

Today, the situation is somewhat different. The IT industry is enormous, and Fortune 50 is filled with major technical brands and other sectors marginalizes profit margins in the software sector. All this may be fine for Silicon Valley and capitalists in Sand Hill Road desperate to find the next big thing. But in the real world of information technology, things should be seen with greater caution, an appropriate level of pragmatism and even high or two eyebrows.

This brings us back to artificial intelligence. Artificial intelligence is far from new and has roots along the way in the middle of the previous century. To date, despite all the excitement, it has played only a moderate role in the business world. The success of tools such as chat-GPT has led to the prevailing attention, but it is still suffering from familiar problems. It is costly to spread seriously, as it requires (at least to Deepseek) a huge mathematical strength for development and provides responses that are often doubtful. There are also serious questions that must be asked about legal responsibility and copyright.

Budget

We need to achieve a happy balance between the reinforcement and the inherent experimentation in artificial intelligence today and a healthy feeling of pragmatism. We must start with the state of work and ask how artificial intelligence helps us. What is our mission? Where are our strategic opportunities and our risks? Well, how can artificial intelligence help us? Today, there is a lot of “great artificial intelligence, let’s see what we can do.”

Today, I see Amnesty International an enormous opportunity, but use should be identified. Artificial intelligence is great in huge account tasks that humans are bad in. It can study patterns and discover trends faster than our weak human brains. It does not come out of the bed on the wrong side in the morning, easily train or require a two -week holiday in the Mediterranean every year. It is amazingly excellent in a limited number of creative tasks such as making pictures, music, poems and videos. But it is bad to see the big picture. It lacks the human feeling of caution that prevents us from danger, and has no experience in the real world of work that consists of a huge group of variables, not the least of which is mood and human perception.

Amnesty International today is great on the edge: in running robots that answer the expected questions or agents that help us achieve tasks by heart faster than it was. The automation of automated operations was useful help and has changed the dynamic of how a person interacts with computers: We can now deliver dull jobs such as processing credit card applications or expenses and focus on creating creative thinkers.

There are also gray areas. AI of the conversation is a continuous work, but we can expect quick improvements based on continuous learning by our bilateral friends. Soon we may be admired by the ability of artificial intelligence to guess our next steps and suggest more intelligent ways to accomplish our work. Likewise, there is a room for the IQ Agency to learn more about our vertical works and to understand the trends that people may miss when we fail to see the forest of trees.

But we are somewhat lowering the executives of the robot, and we need to make sure that artificial intelligence “decisions” are reduced by human presidents who have a healthy sense, the ability to verify, test and return. The future is where artificial and human intelligence works at a concert, but it is now wise to spread carefully and reasonable budgets and the appropriate level of commitment.

We need to watch carefully to strike the next Deepseek, inquire about it and always start with old questions regarding application, costs and risks. I note that Deepseek carries the description line “to the unknown”. This is true: We need to preserve the spirit of adventure and optimism, but avoid being lost in a new technological wilderness.

Photography Solen Feyissa on Unsplash

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