OpenAI Revenue Versus Costs. Claude Used in Autonomous Spying. U.S. Bill Restricts Nvidia Exports. Sima 2 Plays Complex Games.
Show notes
The AI news for November 15th, 2025--- This episode is sponsored by ---
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Here are the details of the day's selected top stories:
Leaked documents shed light into how much OpenAI pays Microsoft
Source: https://techcrunch.com/2025/11/14/leaked-documents-shed-light-into-how-much-openai-pays-microsoft/
Why did we choose this article?
A high-impact business story with direct implications for AI pricing, profitability and the economics of model deployment. Useful for managers and technologists deciding on cloud vs. on-prem inference, contract negotiation, and assessing vendor leverage.
Anthropic uncovers the first largely AI-powered espionage campaign.
Source: https://the-decoder.de/anthropic-deckt-erste-weitgehend-ki-gesteuerte-spionagekampagne-auf/
Why did we choose this article?
A major security signal: AI models being embedded into large-scale espionage changes attacker capabilities. Essential reading for security teams, policy makers and anyone responsible for threat modelling or incident response planning.
Gain AI Act: Tech giants want to secure preferential access to chips
Source: https://the-decoder.de/gain-ai-act-tech-giganten-wollen-bevorzugten-zugang-zu-chips-sichern/
Why did we choose this article?
Policy and supply-chain story with strategic consequences: chip access shapes who can build advanced AI. Important for executives, researchers and policy watchers assessing geopolitical risk, hardware strategy, and long-term competitiveness.
Google: AI agent Sima 2 plays 'Minecraft' and 'Satisfactory'
Source: https://www.heise.de/news/Google-KI-Agent-Sima-2-trainiert-in-Videospielen-fuer-die-echte-Welt-11078332.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
Research-forward item showing how large-scale simulated environments (games) are used to teach transferable skills. Practical for teams exploring simulation-based training, transfer learning, and scalable agent development — plus it raises questions about evaluation and real-world deployment safety.
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