Phone Recording App. AI in Medicine. Cloud Service Cut. AI in Science.

Show notes

The AI news for September 26th, 2025

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

Let yourself be listened to for 15 cents! App sells phone recordings for AI training
Source: https://www.heise.de/news/Fuer-KI-Training-US-App-zahlt-Geld-fuer-abgehoerte-Telefonate-10671294.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
This article highlights a controversial approach to AI training data collection, raising important ethical questions about privacy and consent. It provides a unique perspective on the lengths companies might go to obtain data for AI development.

AI revolutionizes medicine: OpenAI CEO Altman sees great opportunities
Source: https://www.heise.de/news/OpenAI-Chef-Altman-KI-als-Chance-fuer-Aerzte-und-Patienten-10669865.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
The article discusses the transformative potential of AI in healthcare, as seen by OpenAI's CEO. It provides insights into how AI tools like ChatGPT could enhance medical practices, offering a hopeful outlook on AI's role in improving health outcomes.
Microsoft cuts cloud services to Israeli military unit over Palestinian surveillance
Source: https://techcrunch.com/2025/09/25/microsoft-cuts-cloud-services-to-israeli-military-unit-over-palestinian-surveillance/
Why did we choose this article?
This article addresses the ethical implications of AI and cloud services in military surveillance. It highlights a significant corporate decision by Microsoft, reflecting on the broader impact of technology on privacy and human rights.
AI system learns from many types of scientific information and runs experiments to discover new materials
Source: https://news.mit.edu/2025/ai-system-learns-many-types-scientific-information-and-runs-experiments-discovering-new-materials-0925
Why did we choose this article?
This article showcases an innovative AI system that accelerates material discovery, demonstrating AI's potential to solve complex scientific challenges. It emphasizes AI's role in advancing research and development in material science.

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