51 Reddit upvotes observed across 61 comments. Hot-post engagement, not GitHub stars.
Project dossier
Hallucination in enterprise RAG which process 50,000 docs per year. AI Budget 100$k
Jev (TypeSafe, released Sep 15) cannot generate text. It takes a passage plus typed questions and returns calibrated choices, scores and yes/no probabilities in about 200ms at $0.042 per million input tokens. I got early access and pointed it at hallucination. Paired with IBM's STAIR paper (arXiv 2609.03874), which uses a document's table of contents as the retrieval unit instead of fixed-size chunks, reporting 82.6% Recall@1 vs 59.5% for BM25. Plan: STAIR-style structure finds the section, Jev
- Momentum score
- 55
- 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
emerging
upvotes: 51, up 61 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 · upvotes51Open Reddit thread ↗
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