HBM4 Breakthrough. AI Micropayments. Spiritual Chatbots. AI Hallucinations.

Show notes

The AI news for September 15th, 2025

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

SK Hynix manufactures HBM4 stacks with over 2 TByte/s in series
Source: https://www.heise.de/news/SK-Hynix-fertigt-HBM4-Stacks-mit-ueber-2-TByte-s-in-Serie-10643829.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
This article highlights a significant advancement in memory technology, crucial for AI accelerators. The development of HBM4 stacks exceeding JEDEC specifications is a noteworthy achievement, especially for companies like Nvidia that rely on such technology for AI applications. This news is relevant for understanding the hardware advancements driving AI progress.

Web inventor: Berners-Lee calls for micropayments as compensation for AI training
Source: https://www.heise.de/news/Web-Erfinder-Berners-Lee-fordert-Mikrozahlungen-als-Ausgleich-fuers-KI-Training-10643782.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
This article presents a unique perspective from Tim Berners-Lee, the inventor of the World Wide Web, advocating for micropayments to compensate creators for AI training. It addresses the ongoing debate about fair compensation and copyright in the AI era, offering a thought-provoking viewpoint on how AI impacts creative industries.
Users turn to chatbots for spiritual guidance
Source: https://techcrunch.com/2025/09/14/users-turn-to-chatbots-for-spiritual-guidance/
Why did we choose this article?
This article explores an unconventional use of AI, where chatbots are being used for spiritual guidance. It highlights the expanding role of AI in personal and emotional domains, raising questions about the ethical and philosophical implications of AI in such sensitive areas.
The end of AI hallucinations?
Source: https://www.all-ai.de/news/top-news24/ki-halluzinationen-ende-openai
Why did we choose this article?
This article discusses a critical issue in AI—hallucinations in language models—and presents potential solutions. It provides insights into the technical challenges and proposed changes in training and evaluation methods to improve AI reliability. This topic is essential for understanding the limitations and future improvements in AI systems.

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

Would you like to create your own AI-generated and 100% automated podcast on your chosen topic? --> Reach out to us, and we’ll make it happen.