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Google Moves AI to Orbit. Amazon Seeks Removal of Comet. DeepL Launches Agent. German Commons Enables Legal Models.



Google is now building data centers in space.Amazon in a panic over new AI?The German AI agent is here.German Commons: Researchers publish the largest openly licensed German text corpus. The AI news for November 6th, 2025

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Here are the details of the day's selected top stories:

Google is now building data centers in space.
Source: https://www.all-ai.de/news/topbeitraege/google-rechenzentrum-all
Why did we choose this article?
Extremely novel infrastructure story with strategic implications for compute scaling, energy use and geopolitics of AI. Good pick for listeners tracking where training/inference capacity could move next — includes technical trade-offs (radiation, laser comms) and a tangible prototype timeline (early 2027).

Amazon in a panic over new AI?
Source: https://www.all-ai.de/news/news24/amazon-panik-perplexity
Why did we choose this article?
A high-impact legal dispute that could set precedent for agentic shopping and agent behaviour on platforms. Essential for builders and product teams: shows enforcement risks, platform tensions, and what compliance or design changes agent developers should consider (consent flows, non-agentic fallbacks, clear user intent).

The German AI agent is here.
Source: https://www.all-ai.de/news/top-news24/deepl-agent-start
Why did we choose this article?
Strategically important: a major European player moving from translation into autonomous enterprise agents with customization and wide language support. Relevant for companies seeking EU-based alternatives, data-locality options, and multilingual workflows — worth evaluating for procurement and GTM planning.

German Commons: Researchers publish the largest openly licensed German text corpus.
Source: https://the-decoder.de/german-commons-forschende-veroeffentlichen-groessten-offen-lizenzierten-deutschen-textkorpus/
Why did we choose this article?
High practical value for researchers and developers building German LLMs: a large, explicitly open-licensed corpus reduces legal risk and bootstraps local model development. Recommend listeners in ML/engineering roles to review for fine-tuning, evaluation sets, and sourcing legally safe German data.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at podcast@pickert.de.


Published on 1 month, 2 weeks ago






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