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There are two postings recently published on golem.de which highlight the risks of AI usage in the first place / at the first step and in the further processing of AI produced artifacts: Excessive transscription of every (business) conversation and/or meeting may lead into a situation, where each

EN: Found on heise.de. After all coding assistants are also coming for Databricks: Databricks Blog anouncement: Introducing Genie Code Press release: Databricks Launches Genie Code: Bringing Agentic Engineering to Data Work Overview intro video Get to know video with pipelines: Get to know

Update in 26th of April 2026 found simonwillison.net Initially found on theregister.com Test driven development (TDD) produces much better results with AI coding assistants: TDD prevents a failure mode where agents write tests that verify broken behavior. When the tests exist before the code,

Found on google.com after search for "What are the different RAG methods to minimize confabulation?" Before model context protocol MCP and other agentic context enhancement protocols retrieval augmented generation or RAG was the most important tool to add and extend context on order to minimize

Found on theregister.com A feature regarding Geoff Huntley, his invention of the Ralph Wiggum Loop and the state of coding and agile: Developers, he argues, should now spend more time thinking about writing loops that drive coding assistants to produce better output, rather than persisting with code reviews.

Gefunden auf heise.de. Irgendwie kann ich mich nicht dem Eindruck erwehren, dass Prof. Dr. Michael Stal diesen Sommer einiges zum Thema PyTorch gelesen hat... Zumindest hat er mit seiner Serie von Blog-Artikeln Künstliche neuronale Netze im Überblick eine lesenswerte Einführung in die Erstellung von künstliche neuronale Netze mit PyTorch gepostet:

Seit 2 August 2025 sind im Rahmen des EU AI Act die Transparenz- und Sorgfaltspflichten für generell einsetzbare KI in kraft getreten. Das ist ein guter Anlass mein englisches Blog-Posting Is it legal for AI to scrape licensed material and reproduce it in the generated output? ins deutsche zu Übersetzen und zu ergänzen. In Bezug auf KI gibt es einige wichtige rechtliche Fragestellungen, welche aktuell nahezu jeden Content-Ersteller und/oder Content-Provider betreffen:

There are some big legal questions, which are affecting any content creator and/or content provider today: Is it legal for a internet robot so scrape all of the available content for the purpose of training a generative AI model? Is it legal for a AI company to train any generative AI model on the scraped content? Is it legal when a generative AI model reproduces licensed and/or copyrighted content while inferencing? Hmm... Let us apply some logical thinking and common sence when trying to answer this questions...

Found on blog.nilenso.com AI is a multiplier. If you are a small coefficient, you won’t see much gain. If you are a negative coefficient, expect negative gains. To make AI good, get good yourself. Found on heise.de AI revolutionizes the software development. The ones, who do not understand this

EN: Found on telepolis.de: The coming reality will be without mercy - adaption is not a bonus anymore, it is a precondition for survival Found on ai-2027.com: We predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution. Found on