Latent diffusion model
AI Tools · first detected 8 Aug 2026 · scored 6 Oct 2026
Trend score
0/100
Opportunity
0/100
Confidence
66%
Trend, 30 days
Why this score
- −No source shows a clear spike yet
- −Flat week over week
- +Still lightly covered (saturation 7%)
- ·Not scored on arXiv (source unavailable); weights rebalanced
How this score was calculated
| Component | Value | Weight | Points |
|---|---|---|---|
| Attention growth | 1% | 0.40 | +0.4 |
| Coverage growth | 0% | 0.00 | +0.0 |
| Cross-source breadth | 0% | 0.27 | +0.0 |
| Acceleration | 0% | 0.20 | +0.0 |
| Freshness | 0% | 0.13 | +0.0 |
| Saturation (subtracted) | 7% | 0.25 | −1.8 |
| Trend score (0–100) | 0.0 |
Opportunity = trend 0.0 × (1 − saturation 7%) × stage weight 0.4 × niche relevance 1 = 0.0
Saturation parts: volume 12%, time elevated 4%, mainstream 0%. Spike ratio = mean of the last 3 days ÷ median of days 4–31. A source counts as spiking at ≥ 1.5× and robust z ≥ 2.
| Source | Spike | Robust z | Week over week | Spiking |
|---|---|---|---|---|
| wikipedia | 1.02× | 0.1 | -9% | no |
Full method: methodology. Rising means rising now; it is not a prediction that a topic will go viral.
Signals by source
Wikipedia views
44/day
2026-09-07 → 2026-10-06 · fetched 7 Oct, 12:50 UTC
New arXiv papers
2/day
2026-09-07 → 2026-10-06 · fetched 7 Oct, 11:45 UTC · not used in today's score
Attention data: Wikipedia pageviews via the Wikimedia Analytics API · Research data: arXiv (thank you to arXiv for use of its open access interoperability) · Data as of 7 Oct, 12:50 UTC
Licences and terms
- Attention data: Wikipedia pageviews via the Wikimedia Analytics API: CC0 (pageview data)
- Research data: arXiv (thank you to arXiv for use of its open access interoperability): Metadata CC0
See the conversation
Newest on YouTube All of RedditCheck what people are posting about “Latent diffusion model” right now on Reddit and YouTube. Opens their sites; we don't collect their data.
What to make about it
Content angles are written once a topic passes the publish threshold.
Related topics
- Flux (text-to-image model)Steady
Wikipedia views up 1.5× against its 4-week median
Trend14Opportunity3 - LTX (world model)SteadyTrend0Opportunity0
- Gemma (language model)SteadyTrend0Opportunity0
- OpenAI Codex (language model)Declining
Still lightly covered (saturation 10%)
Trend0Opportunity0 - Arena.aiSteady
Wikipedia views up 119× against its 4-week median
Trend41Opportunity8 - DeepSeek (AI)Steady
Wikipedia views up 226× against its 4-week median
Trend39Opportunity9