172 Reddit upvotes observed across 142 comments. Hot-post engagement, not GitHub stars.
Project dossier
Bought a 5090 to escape API fees. Ended up building a mini datacenter. Sound familiar?
I bought an RTX 5090 last year just to run 27B models natively. I even fine-tuned it with my own data using LoRA, building RAGs and was pretty damn happy with the results at first. But, Q8 quantization 130k context was barely squeezing through. Naturally, I bought two RTX 6000 Pros, just waiting for the next-gen releases. When I back to reality, minimum 100B class models started dropping everywhere these days, lol, making even this feel insufficient. Just as I felt I want at least 512GB cluster,
- 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
hype looks real
upvotes: 172, up 142 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 · upvotes172Open Reddit thread ↗
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