Public Evidence Lab / Dossier O-2095
Collected sample: 4 independent content items across 1 source families. Known publication dates: 2026-08-07 — 2026-09-21.
First seen 2026-08-07 · Last updated 2026-11-05 · Recalculated daily
These observations describe collected samples, not platform-wide prevalence; they cannot establish whether a problem is widespread or accelerating. Collection scope changed on 09-16 and 09-27; monthly counts must not be read as trends.
Post title: 1. No-training guarantee except the CMD_ZDR=1? 2. Data on which models currently default to training=yes.
But turning the flag on drops my DeepSeek V4.1 Fla…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Why should I care about using Muse Spark Contributor?
I'm very, very tight on cash, so the only other op…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: with DeepSeek getting more expensive, what’s the best value AI Agent + model setup right now?
DeepSeek V4 Flash 0731 has been my main model for …
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: DeepSeek is increasing API price
We plan to raise the overall pricing for DeepSeek …
The public layer keeps only a minimal excerpt. Open the source for full context.
What this evidence does not show yet
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Scoring summary
Evidence confidence = strength × evidence volume × source diversity × payment × competition × trend × 10. Counts use independent content items; only first-hand pain, current spend, explicit willingness to pay and concrete feature requests affect the score. Repeated posts by one author are discounted. Scoring and status changes follow deterministic rules.
“Payment-backed” means first-hand payment evidence exists in the record. It does not mean the business is worth building. “Fading” is a recency tag shown alongside any evidence level, not a lower level. Read the full methodology.