Daily researched
Our AI system analyzes tech trends, fact-checks with multiple sources and publishes daily articles — fully automated and GDPR compliant.
23. July 2026
AI tools hardly use specialist articles as sources – risks for quality and transparency
One study shows that in 250,000 responses, AI tools hardly use journal articles as sources, threatening the quality and transparency of results. This raises questions about the reliability of AI generated content, especially in professional contexts.
Cyberattacks on authorities: Why Saxony-Anhalt is particularly affected – and what companies can learn from it
The administration in Saxony-Anhalt recorded a significant increase in cyberattacks, especially phishing. Authorities are particularly at risk due to sensitive data and outdated IT. Companies can learn from these incidents and strengthen their own IT security.
Digitalisation in the healthcare sector: keeping an overview and ensuring data protection
The article highlights the challenges of digitalization in the healthcare sector, in particular the criticism of the lack of oversight and concerns about data sovereignty through initiatives such as ePA. It emphasises the need for transparent and user-centred handling of sensitive data, while also highlighting the general importance of data protection and regulation in digital platforms.
AI Security and Neuroscience: From GPT-5.5 Cyber to BCI Breakthroughs
The article highlights the rapid advances in two key areas: AI security, where GPT-5.5 cyber improves gap finding, and neuroscience, where BCI technologies enable cross-sectional paraplegics to grip. In addition, the shift towards local AI development platforms is discussed, which strengthens the control of data for the end user.
AI-powered task planning and security developments: Overview of OpenAI and Windows
The article highlights current developments in the AI world, from the optimization of task management through central pages such as 'Planned' to new security standards. In addition, the ongoing challenge of cybersecurity is presented by Windows gaps and new AI model benchmarks.
AI Texts and Journalism: The Debate on Labeling Requirements and Ethical Limitations
The use of AI in the media leads to intense debates about the mandatory labelling of AI-generated texts, with the German Journalists Association demanding transparency, while the Press Council rejects this. In parallel, the limits of use of AI in business are discussed, from the evaluation of journalistic work to the risks of abuse by extremist groups.