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The Battle for the World Brain: Whoever Builds It Rules the World | All on One Map

The video analyzes the AI race between the USA, China, and Europe through the factors of electricity, chips, and data centers. It opens on the Galaxy Campus in Wulan Shaban, Inner Mongolia, built by the Chinese wind-energy company Envision and described as the world's largest single AI data center building (~120,000 m²), designed for over 2 GW powered by local renewables; it is the first project of the 'Mission Gobi' initiative, which aims for 5 GW of green AI computing by 2030. It states China added ~429 GW of new generation capacity in 2024 versus ~51 GW in the USA, and that roughly 75% of global AI computing power comes from the USA, 15% from China, and under 5% from Europe. It discusses the shift to liquid cooling, Google's plan (announced September 9, 2026) to invest at least €13 billion in Finnish data centers, the Stargate Norway project by Scale, Acer and Ormei near the Arctic Circle, and the role of German fan and motor maker EBM Papst. Elon Musk is quoted saying that energy and chips will decide the AI race.

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Black October: AI cripples half of Germany! What's really behind it | AI NEWS

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The End of Encryption, Quantum Brains, Photonics & Superintelligence - Prof. Dr. Klaus Mainzer

In an interview with Leonard Schmedding, Professor Dr. Klaus Mainzer, president of the European Academy of Sciences and Arts, discusses the future of AI and computing. He argues that quantum computing will be of central importance and will surpass classical machine learning, which he describes as merely 'highly tuned statistics on fast computers' as seen in ChatGPT, and that digital computing has fundamental limits. He discusses neuromorphic computing and computers that compute with light. On the origins of AI, he explains that neural networks were inspired by the giant squid's neuron, studied by Nobel laureates Alan Hodgkin and Andrew Huxley of Cambridge, and notes that intelligence does not require a mammalian-type brain: crows and ravens have densely packed, highly interconnected neurons with intelligence comparable to dogs, while octopuses have nine brains (eight peripheral and one central). He concludes that from a scientific standpoint the human brain is not necessarily special.

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Gemini 4 Argon & Meta 'Wonder': What Really Changes! Real Use Cases | AI-NEWS

Google and Meta have launched new AI models, Gemini 4 Argon and Meta Muse Wonder, which reportedly beat Claude Opus 5 on benchmarks. Argon is the first model to generate up to one million output tokens in a single step, and Google is using its own models to build the next generation (recursive self-improvement). Google claims Argon advances robotics—building a physical simulation from a single table photo to produce 4,500 training runs and raising a robot's real-world success rate from 56% to 75%—quantum computing—creating a quantum-algorithm building block needing 100x less hardware and compute with mathematically proven correctness, and rewriting Google's own Alpha Qubit error correction to nearly double throughput—and mentions an upcoming Gemini Nano Banana 3 Pro and the open-weights Flux 3 Image small 4K image model. In a practical test, three models each spent 16 hours building a clone of the Monday software: Muse Wonder half-fulfilled the task (functional but not Monday-like), Argon worked but imperfectly (e.g., emojis instead of icons), and Claude Opus 5's result was cut off. The video also covers Drift Voice 3.0 voice agents handling 20,000 daily phone calls at Starling with a 70% success rate, and GPT Live 1.1 improvements in German.

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Ex-Consul General Opens Up: 'We Slept Through EVERYTHING!' The Truth About China (Wolfgang Röhr)

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