Researcher and builder of AI-native systems.

The author

Lovro Lucic runs the experiments and publishes the findings. Not an institution, not academia. A working practice published in public.

Contact and longer-form writing: LinkedIn. Code and research artifacts at github.com/Clarethium.

Public artifacts (tools, standards, methodology, corpora) are listed on Work.

Method

Every finding here was tested before being published. The test stays visible as part of the finding, not hidden in methodology. Three sections run below each post:

• What survived testing: hypotheses the data supported.
• What didn't survive: hypotheses I went in with that the data killed. Part of the finding, not against it.
• Honest limits: scope conditions the finding does not stretch to cover.

When a previously published claim is later corrected or withdrawn, the record tracks that separately. See the record.

Reading and citing

Each bullet under a finding has a stable anchor you can cite by URL fragment (/slug#s1 for the first surviving claim, #d1 for the first that didn't survive, #l1 for honest limits). Hover over any bullet to reveal the permalink.

Each post also has a “Cite this finding” button that copies a formatted citation to your clipboard. Software citations and DOIs for the open artifacts are listed on Work.

Errata and corrections

If you find a problem with a finding's data, methodology, or reasoning, the corrections channel is LinkedIn DM. Posts with receipts publish the raw data; specific issues with the raw data, scoring, or analysis are the easiest to engage with.

Corrections that hold up get published on the record, with attribution.