27 Reddit upvotes observed across 36 comments. Hot-post engagement, not GitHub stars.
Project dossier
I tested 12 AI memory systems across 1,800 tasks. A plain Markdown wiki still tied for first.
Vacations give you time to think and explore. I came across a few things and made a few discoveries of my own. It turns out that, as a programmer, I no longer need the smartest and most expensive AI models. Apparently, there is such a thing as "Cost per Task", and by that metric GPT-5.6 Luna (max) has taken the top spot. If you use Codex, though, it is the dumbest model on the list. Its Artificial Analysis Intelligence Index is only 38. For comparison, the smartest model, GPT-6 Astra (max), scor
- Momentum score
- 47
- 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: 27, up 36 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 · upvotes27Open Reddit thread ↗
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