Florian's Filter — W15 2026
I have been thinking a lot lately about the gap between what AI promises and what it actually delivers in practice. We are seeing a fascinating tension between massive corporate narratives and the more transparent, open-source movements emerging underneath them. This week's selection touches on that friction, covering everything from security vulnerabilities to the way we visually represent technology.
Articles
- Better Images of AI
How we visualize something shapes how we think about it. This initiative provides a repository of more realistic and less misleading images to help diversify our mental models of AI. - Using AI to Contribute to Open Source | VisiData
As open source projects face a flood of bot-generated pull requests, this is a sensible proposal for categorizing and flagging different levels of AI support in writing software.
Videos
- Nvidia Just Open-Sourced What OpenAI Wants You to Pay Consultants For.
Interesting thoughts on the business adoption of the latest innovations from major LLM providers and the obstacles currently standing in the way. - AI Whistleblower: We Are Being Gaslit By AI Companies, They’re Hiding The Truth! - Karen Hao
An interesting interview with author Karen Hao, who has been shining a critical light on the "Empire of AI" for years now. - McKinsey's AI Lie Explains What's Happening to Work
A critical view of the "agents instead of analysts" trope currently circulating within consulting firms. - OWASP's Top 10 Ways to Attack LLMs: AI Vulnerabilities Exposed
IBM is producing very good explainers lately. This video breaks down the primary ways to attack Large Language Models. - Little Tikes Cozy Coupe Review
I have a thing for good car reviews and this is my favorite for the beginning of April.