AI

EN: Found on theregister.com The central bank for central banks is concerned about the eye-watering sums being invested into AI, and it's raising the specter of a global recession should the bubble burst. In its annual report for 2026, the Bank for International Settlements compared the current

EN: Found on tomshardware.com I think it is a good idea to activate a safety car phase on AI development and slightly interrupt the AI race in order to remove dangerous things from the racing track. Why not to establish some kind of FIA (Fédération Internationale de l’Automobile) which sets the rules for that and oversights the whole thing? And I think, this is a good metaphor for Anthropic's suggestion to halt frontier model development and to take a deep breathe.

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

Found on Decoder podcast from The Verge Initially found on simonwillison.net Any business process that looks like code talking to a database in a repetitive way is up for grabs. It’s everywhere: the absolute cutting edge of advertising and marketing is automation with AI. It’s not being a creative.

Update on 19th of April 2026, found on theregister.com Initially found on google.com after search for "What are the different sources of bias in AI models?" What are the different sources of bias in AI models? Training data bias Historical data --> historical bias Sampling --> representation

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

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.

The AI world clocks by Brian Moore is a good demonstration on how good AI is on creating graphical elements right now. Every minute, there are 9 new clocks displayed, which are generated by nine different AI models. Each model is allowed to use 2000 tokens to generate its clock. Here his prompt:

Is the AI bubble soon ready to burst? EN: Found on theregister.com - "Big money is nervous about AI hype, but not ready to call it a bubble" AI hype train may jump the tracks over $2T infrastructure bill, warns Bain Ars Live: Is the AI bubble about to pop? A live chat with Ed Zitron Moody's raises