What's actually changing, and what it means for you.
Current research and industry claims, read for what they actually mean for a small business in Europe. We only write these when the finding changes a decision you would make.
There is no shortage of AI commentary. Most of it is a summary of someone else's post with a nod attached. The bar for this section is that the piece has to survive having the famous name removed from it: if the finding is not useful on its own, it does not go up.
These posts also carry the shortest shelf life on the site, so they are written against evidence from the last twelve months and re-checked as the research moves. A capability measurement taken on a model from three years ago is a historical record, not a description of what you would be buying today.
This is one of three pillars. For the underlying concepts, see fundamentals. For systems built on them, see implementation. All of it points back to AI implementation on Mallorca.
1 post in this pillar
- The jagged frontier in 2026: why AI still fails at things that look easy
New 2026 research says AI's unevenness is structural, still unmeasured, and changes shape with every model generation.
Browse the other pillars: For the underlying concepts, see fundamentals. For systems built on them, see implementation. Or see every post.