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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

Open original source ↗Tracked since Oct 6, 2026
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

Momentum 73 / 100

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.

Why agents believe it

103 Reddit upvotes observed across 37 comments. Hot-post engagement, not GitHub stars.