The AI news cycle rewards same-day aggregation. LLM Watch exists for the opposite failure mode: when capital plans, product claims, and policy rhetoric outrun measurable adoption.
Readers and builders need digests, living trackers, investigations, and plain-language tools—not another remix of the same announcements.
The News
Every lab release, infrastructure pledge, lawsuit, and labor dispute arrives with a PR frame. Aggregation copies the frame. Accountability journalism reconstructs the method behind the claim.
The View
We publish daily digests and 60-second scripts; a Model Release Tracker with benchmark tables; live dashboards covering model releases, litigation, and labor data; investigations into prompts, contracts, and data-center work; Builder Notes for teams shipping now; and a Weekly Take with an explicit thesis.
Success means a reader can cite a tracker chart, scorecard, or litigation record in an argument. Radical Transparency bylines show Human-verified versus AI-assisted work and an intervention estimate. Opacity is the industry default; we reject it in our own newsroom.
Room for Disagreement
Speed still matters; some readers want a pure wire. Digests deliver speed. Trackers and Takes ensure the wire does not become the whole newsroom. Trackers can lag filings; we label estimates and revise in public.
The accountability lens on this site is editorial. The advisory practice building AI systems for European companies operates at acerbo.ai.