Algorithm

AI in Quantitative Investing: Limits of Autonomous Stock Picking Systems

Use Cases, Algorithm /

AI-driven stock picking agents are often presented as the next step in quantitative investing. The narrative is compelling: autonomous systems ingest market data, reason over it, and continuously improve decisions through feedback loops. In theory, this aligns well with modern machine learning paradigms and agent-based architectures. In practice, the situation is more constrained. These systems […]

AI in Quantitative Investing: Limits of Autonomous Stock Picking Systems Weiterlesen »

Hallucinations Are Not a Bug. They Are an Engineering Constraint.

Algorithm /

If you believe hallucinations in AI will disappear with the next model release, this blog post might be uncomfortable to read. Because they won’t. And this is not because the technology is broken or because engineers haven’t tried hard enough. It’s because this is not a product problem in the first place. And for everyone

Hallucinations Are Not a Bug. They Are an Engineering Constraint. Weiterlesen »

Everyone Talks About Agents. Nobody Talks About State.

Stream Pipelines, Algorithm, Architecture, Tools /

Over the past year, the discussion in AI has gradually shifted away from models as isolated reasoning engines and toward agents as autonomous operational systems. Large language models are no longer framed merely as tools for generating text or answering questions. They are presented as components capable of planning, acting, coordinating across APIs, and making

Everyone Talks About Agents. Nobody Talks About State. Weiterlesen »

Teaching a Machine to Recognize Traveling Bears

Algorithm, Tools, Use Cases /

This project did not start as an attempt to build a generic image recognition system or to benchmark computer vision frameworks. It started with three teddy bears that have been traveling with me since 2017. Over the years, they have accompanied me on flights, through airports, into hotel rooms, conference venues, cafés, and occasionally onto

Teaching a Machine to Recognize Traveling Bears Weiterlesen »

Teaching a Machine to Clean Up My Document Chaos

AI/ML, Algorithm, Use Cases /

This „project“ did not start with the ambition to build a generic document classifier or to compete with existing document management systems. It started with a much more personal and probably familiar situation. I wanted to explore whether machine learning could help me to organize my PDFs better. Not reminding me of deadlines or summarizing

Teaching a Machine to Clean Up My Document Chaos Weiterlesen »

The „LLM = AI“ Myth

Algorithm /

Why equating generative models with intelligence is technically wrong — and dangerous. At some point in the last two years, the term Artificial Intelligence stopped meaning what engineers and scientists meant by it.It became shorthand for anything that calls an OpenAI API or produces text that sounds clever. But a system that completes your sentences

The „LLM = AI“ Myth Weiterlesen »