Alexander Bock is the author of ABXK.AI and responsible for its content. He writes about artificial intelligence from hands-on work — with one guiding principle: substance over hype.
Focus Areas
- AI productivity and AI at work — which AI tools help in everyday work, how to use them well and how to measure the gain
- AI development — from the first API call to RAG, agents and production systems, and how AI works, tested in our own experiments
- AI security and privacy — using AI tools without exposing personal or confidential data, and recognizing AI-generated content
- Physical AI — self-driving cars, robots, brain-computer interfaces and AI data centers, analyzed with public data
- Language models — a database of large language models with their benchmark results
- AI tools — free tools that run in the browser, with no sign-up and no upload
How I Work
- Data first. Analyses use open, citable data — for example from NHTSA, ClinicalTrials.gov, PubMed, Epoch AI and OpenStreetMap — and our own experiments and simulations. Source, license and retrieval date stand under every data chart and table.
- Every number is checked. Numbers come from the data or from a register of sourced facts with a review date. When a value is due for review, the site is not updated until it has been checked.
- Honest about limits. Tools and articles state what they cannot do. Tool assessments are not tests and say so.
- Transparent corrections. Errors are fixed in the article, and the date shows when content, data or a checked fact last changed.
- Labeled partner links. Links to vendors exist only as labeled partner links.
Contact
Tips, corrections and inquiries: mail@abxk.ai