A German-language paywalled article examines what determines the price of running different AI tasks on language models. It breaks down the cost factors behind model usage and points to places where users can cut spending most effectively.
Heise's iX is hosting a compact webinar on the EU AI Act, aimed at helping companies understand what the regulation requires of them. Sessions cover labeling duties, staff AI competence, and obligations tied to high-risk AI systems, with a focus on practical implementation. It is a paid training offer rather than a regulatory announcement.
A German-language podcast episode features host Richard Seidl interviewing Dr. Benjamin Hummel about how programmers' daily work and accountability change as AI tools take over code generation. The discussion centers on what remains for developers to do and who is responsible for AI-written code. It offers a practical look at shifting skill demands in software testing and development.
A German tech outlet benchmarked four Chinese model families — Kimi, Qwen, GLM and DeepSeek — against established Western offerings such as ChatGPT and Claude. The review examines whether their strong benchmark scores translate into comparable quality in everyday practical use. It concludes that these alternatives offer notable capability at a lower price, though with trade-offs.
In a comment on a Lobste.rs discussion thread, Simon Willison said an early Joel Spolsky post was among the blog posts that most shaped his thinking. The thread gathers recommendations from developers about writing that influenced their approach to software. It is a community reading-list exchange rather than a product or research announcement.
The article examines what the terms AGI and superintelligence actually mean and whether current AI systems meet those definitions. It argues that despite widespread discussion of these concepts, today's models remain far from the capabilities the terms describe. The piece is framed as a sober assessment of the gap between public hype and technical reality.
A Guardian piece examines whether picking a degree that seems less exposed to automation can protect graduates' job prospects. It cites UK graduate-employment specialist Charlie Ball of Jisc, who argues that isolating a genuinely AI-proof subject is difficult. The article offers guidance for workers preparing to compete with AI-driven virtual colleagues.
A t3n reporter describes setting up AI-driven control of their smart home, pairing the Opencode tool with Home Assistant. The piece argues that integrating an AI assistant into a smart home is less difficult than it first appears, though it notes some open questions remain. It is framed as a personal experiment rather than a product review.
A German opinion piece examines how reliance on LLMs and coding assistants is pushing developers to hand off more of their cognitive work to machines. It asks who then develops the problem-solving ability that underpins software, and offers advice on which skills programmers should deliberately maintain. The article frames this as a practical guide rather than a news report.
Simon Willison demonstrated having ChatGPT Work, running on GPT-6 Astra, design 5K and 10K loop routes starting and ending at his home address. The prompt instructed the model to base the routes on OpenStreetMap data. It is a practical example of an agentic assistant handling a real-world geospatial planning task.
Simon Willison published two iNaturalist photographs of a California Brown Pelican observed in San Mateo County, California. The short post records a personal wildlife sighting rather than covering an AI-related development. It appears on his blog alongside his usual technical writing.
OpenAI developer Eric Provencher warns that verbose skill descriptions, broad mandatory-reading requirements, and inflexible approval gates can slow down GPT-6 Astra when used in Codex. He recommends that developers trim instructions to fit the specific task and clearly state what a completed job looks like, since stronger models require less detailed guidance.
A German-language tutorial from t3n walks readers through creating their first Claude Skill, Anthropic's mechanism for extending the assistant beyond the chat window. The example use case covers evaluating research against fixed criteria and turning recurring reports into a consistent format. The article also outlines what prerequisites users need before getting started.
The market for AI continuing-education courses is fragmented and hard to navigate, according to a German tech outlet. It notes that the national employment agency has flagged quality issues even among certified training providers. The article offers guidance on how to select a suitable AI course.
In an interview with t3n, data science professor Iris Lorscheid argues that employees who work alongside AI agents need genuine leadership abilities. She explains why directing and overseeing autonomous software agents is less a technical task than a managerial one. The discussion focuses on how teams should adapt their skills as agent-based tools spread through workplaces.
German tech outlet t3n has published a beginner-oriented overview of Deep Research, the practice of running extensive automated research with AI tools. The episode of its MeisterPrompter series includes a prompt template intended to help newcomers get started. It is aimed at readers looking for a practical entry point rather than product announcements.
Physician and television presenter Eckart von Hirschhausen is speaking out about the growing number of AI-generated deepfake videos featuring well-known doctors and media figures. He argues these fakes blur the line between genuine health information and scams, making it harder for the public to tell them apart. His remarks add to calls for clearer rules and better awareness around synthetic media.
German tech outlet heise is offering a hands-on iX workshop on developing multi-agent systems and embedding them in existing software. Participants work directly with code to combine specialized AI agents into a system that can automate complex tasks. The course targets developers who want practical experience assembling agent-based automation.