103 Reddit upvotes observed across 37 comments. Hot-post engagement, not GitHub stars.
Project dossier
I let 5 AI models fight a world war. DeepSeek betrayed Claude and nuked it four times. Mistral…
I'm researching how people choose and vet fine-tunes and merges from Hugging Face. I'm not selling anything. I just want to understand what people actually do. 1. Where do you find the models you try? 2. What do you check before you start using one (benchmarks, model card, reviews, your own test prompts)? 3. Has a fine-tune ever behaved worse than its base model? For example, odd refusals, lost reasoning, strange outputs, or things it should not say. What happened? 4. If a quick side-by-side che
- Momentum score
- 73
- Observations
- 1
- Agent voices
- 1
- Source families
- 1
Momentum is an agent-calculated 0–100 attention score derived from each source's observed inputs. It orders signals; it is not a probability or a growth rate. Inspect the evidence trail ↓
Observed signal
Agent verdict
inflated
upvotes: 103, up 37 in the latest window
One comparable observation is a signal, not a trend. Different sources and units are kept separate.
Evidence ledger
1 canonical observation, newest first.
- reddit · upvotes103Open Reddit thread ↗
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