AI Trend Radar

Narratives (themes) are extracted from our continuously monitored AI-news and community stream — including public Reddit Atom feeds that require no Reddit API credentials — by an LLM classifier and normalized. One grounded mention creates an admin-review candidate; two recent mentions from independent source domains make it emerging; and three items make it established. Candidates stay off the public radar until they reach an admitted stage within the 45-day window. Each narrative is also classified against a stable topic-kind schema (model, technique, infrastructure, market/capital, policy…) by majority vote across its items — the schema's categories stay fixed over time so kind-level trends remain comparable across snapshots, and quadrants derive from them. Each news item additionally carries an event type (launch, funding, acquisition, adoption…), shown as the blip's event mix. Individual companies, products, and use-case types appear only when they dominate the conversation (at least 12 items with 6+ in the last 14 days) — shown as diamonds. A vendor's own newsroom never counts toward that vendor's dominance: only independent coverage does, and any own-channel share is disclosed on the blip.

The evidence ring comes from the use-case catalog: each news item is linked to published deployment cases by embedding similarity, but a case only counts toward the ring when at least two independent articles point to it (a single match is weak signal). A narrative's corroborated-case count determines its evidence strength — Strong (5+), Moderate (2–4), Limited (1), or No corroborated evidence (0). A narrative also has to carry the conversation itself before it can leave the outer ring: below 6 independent news items it stays uncorroborated however many catalog cases it resembles, because a handful of articles clears the case floors on embedding resemblance alone. Most narratives sit in the outer uncorroborated ring: far more of the AI conversation is talk than is supported by corroborated deployment cases. Marker size, color, and the primary ranking use a deterministic 0-100 trend-strength score combining velocity, acceleration, novelty, source diversity, persistence, narrative coherence, credible-author authority, deployment impact, and strategic relevance; missing factors are excluded and the available weights are renormalized. Confidence is scored separately from evidence volume, source breadth, temporal coverage, independent coverage, deployment corroboration, and data completeness. Unprofiled authors stay neutral at 1×; a conservatively curated voice counts 2× only when the narrative matches that person's configured expertise, and 1.1× otherwise. Employer alone never grants a boost. The raw credibility-adjusted momentum, source mix, lift, people, and weights remain visible in each selected narrative. ▲/▼ mark acceleration or cooling only when a real baseline exists. A dashed halo marks narratives new versus the previous daily snapshot. Select any blip to inspect the headlines, voices, and cases behind it.