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Dear Readers,

Have you ever wondered what it would be like to not just see our planet, but truly understand it? Today, we open that window: from AI systems that capture every square meter of Earth in 64 dimensions to political tensions between regulation and radical openness. In a world where satellite images are no longer just images, but streams of data full of possibilities for action, a new era of global observation – and responsibility – is dawning.

In this issue, you can expect fascinating insights: DeepMind's AlphaEarth is fundamentally changing environmental research, China and the US are engaged in a geopolitical AI struggle, and new open models promise creative and explosive developments. Plus, exciting insights into the risks of job losses and political shifts caused by AI. A panorama of innovation, power, and opportunity – stay tuned, it's going to be exciting!


In Today’s Issue:


All the best,

AlphaEarth Foundations helps map our planet in unprecedented detail

The Takeaway
👉 AlphaEarth creates 64-dimensional AI embeddings for every 10-meter pixel worldwide on an annual basis.

👉 The data is immediately usable and does not require any complex preprocessing.

👉 This approach massively reduces storage requirements while increasing the accuracy of environmental analyses.

👉 Enables fast, accurate projects for deforestation, urbanization, and ecosystem monitoring.

AlphaEarth Foundations opens up completely new perspectives on our planet. The AI creates machine-readable 64-dimensional vectors for every 10 × 10 meter grid worldwide, combining environmental information from satellite images, radar, elevation models, and climate data. Instead of storing traditional photos, a highly compressed, instantly analyzable representation of the Earth is created.

The biggest advantage is that this data is ready to use immediately. Time-consuming steps such as cloud filtering, atmospheric corrections, or manual calculation of indices are no longer necessary. At the same time, storage requirements are dramatically reduced while accuracy increases. Research teams and NGOs can use this data to map global environmental changes such as deforestation, urbanization, or the state of water resources much more quickly and accurately.

This technology is fundamentally changing the work of environmental and climate researchers. It enables our planet to be mapped regularly and with high precision – more efficiently than ever before.

Why it matters: AlphaEarth makes complex environmental analyses more accessible and faster. It lowers the barriers to entry for data-driven research and opens up new possibilities for global monitoring and sustainable planning.

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In The News

X-Omni: Unified Image and Language Generation Model

X-Omni unifies image and language generation, improving instruction following, multilingual text rendering, and image quality through reinforcement learning.

Chat with OpenAI’s Chief Scientist and Technical Fellow

A candid discussion on OpenAI's early days, ChatGPT, reasoning models, and the crucial role of scalable safety and trust in AI systems.

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China calls for global AI cooperation after Trump strategy

At the AI conference in Shanghai, Premier Li Qiang called for the establishment of an international AI governance institution in response to the Trump administration's deregulation offensive. While the US is pushing for minimal regulation, China is advocating security, openness, and global cooperation, especially for exchanges with developing countries. This marks a geopolitical power claim and a new standard in AI regulation.

xAI accepts EU code only with safety chapter

Elon Musk's xAI has agreed to accept only the “Safety & Security” section of the European voluntary AI code of conduct – but not the transparency or copyright rules. While Google has accepted the entire code, Meta has rejected it outright. This highlights conflicts between EU values and start-up strategies – and how standards could be used to restrict innovation.

UK warns of political destabilization due to AI job crisis

An FT report warns that AI-related job losses in financial and white-collar companies could destabilize medium-sized regions politically. The Science Minister compares AI upheavals to the first industrial revolution. Rising inequality threatens to erode trust in institutions, and populism could gain momentum. Political strategies must combine income, labor, and information policies.

Put Your AI & Politics Insight in Front of 200,000+ Readers

Exploring how AI is reshaping politics, policy, or governance? We’re featuring sharp analysis and research on the intersection of AI and political systems in Superintelligence, read by 200k+ people.

If you have significant comments on AI and politics (unemployment, geopolitics, proposed legislation) and would like to have this discussion presented in the newsletter, get in touch via a brief summary to [email protected] with the subject line “Politics Submission”. We’ll reach out if your work is a fit for a future issue.

Question of the Day

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Rumours, Leaks, & Dustups

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