The way they do things in the USA is with more and bigger. More and bigger data centers in the case of Artificial Intelligence. And then always the small and smarter is surprising them. At the first oil crisis they were surprised by the Japanese with their smaller and smarter cars. This week, they have been surprised by the Chinese with the Open Source DeepSeek. Again, smaller and smarter. I know this is not the end of smaller and smarter in AI because it is part of my research. And I can tell you that the USA will not lead this business in the future. The Trump history will be the history of the last imperialistic boost by the USA. Because smaller and smarter is more economic, and thus fits humanity better. And smaller, always will be so. Follow my blogs and my websites, and you will be the first to know how the empire times are overcome and humanity is on the way to new enlightenment. The good news is that the Chinese and Russian Empire are just as obsolete as the French and the USA ...

Europe is not lost, although the human sciences do us want to believe so. We tend and made to believe the stories about doom and gloom. Meanwhile, technology improves further and further. The real power of AI is not in the sensational Large Language Models. They are ending up in a Large Language Model Soup. A kind of Babylon 2.0. We should not forget about the brilliant work done at CERN, ASML and EPFL. The other AI will outshine LLM-AI. Humanity is still progressing, the current government conception is dying, however. And with that, a lot of bullshit jobs will disappear. Hens the reason human science sees dome and gloom. They feel they are losing. But this does not mean that humanity is losing. Progress is all around us, but money is not the system to measure it. The money (capitalist) system is merely a mean, and an obsolete one. Take this video for example. And be cheerful. https://www.epfl.ch/labs/lis/    

Where does common sense stops and science start? And what is the role of money in that? A scientist is a human being like anybody else. They need to live of something. Can they still be called scientists if they work in politics, for the government, or a company? Or have they than become high payed employees or politicians? Like any other? https://www.scientificamerican.com/article/the-real-reason-people-dont-trust-in-science-has-nothing-to-do-with/

Will the Netherlands and Belgium finally understand the risk at hand with the Russian shipping. What is onboard? What is their real intension? https://www.aljazeera.com/news/2025/1/3/finnish-court-upholds-oil-tanker-seizure-in-undersea-cables-probe

We are fully lost in a fairytale economy. More money is less sustainable. With or without electrification. And as usual we only start to learn collective until it is a crisis. https://energy.einnews.com/article/774296439/SqxohumRzJoHBHPD?ref=rss&ecode=w6BvAN-0V6vVQnOX

Large Language Models are a sure path towards an even bigger Babylon problem. Not only highly automated people are forming a network of fairytales anymore, LLM has joined in. LLM data centers join in, in also polluting real understanding. Welcome to the age of Babylon 2.0. The datacenters are using the energy humanity could use to have more fun. What are we doeing? https://techcrunch.com/2025/01/05/openai-is-beginning-to-turn-its-attention-to-superintelligence/

We (humanity) build more and more datacenters. For what? Microsoft plans to invest $80 billion on AI-enabled data centers in fiscal 2025 What is the Free World People Humanist perspective?     There are people in need; We still don't have an ethic humanity wide health system; There is still no humanity wide pension plan; There is still no humanity wide police and disaster force (enabling dictators to exist). But we put energy in bull-market bull-shit. Making people more addicted and less free. Microsoft = The climate problem! Free World People require Open-Source Software and Open Standards because we can only be really free if we are collaborative workers. And we require as much as possible, solar-powered data storage at home.