Decision models 💡 Concepts

Decision models is 🧊 Cooling on Above the Fog’s AI hype radar: a hype score of 26 out of 100 on Sep 27, 2026, 19 points lower than 7 days before. Its current hype episode, running since Sep 17, peaked at 58 on Sep 21; the score is now at or below 60% of that peak.

'System One' decision models: instead of generating text, they return typed, calibrated decisions (a category launched by Jev).

First seen on Podcasts (Apple + niche RSS) · Sep 16 — the first monitored source to go above normal for it in the run-up to this hype episode.

Why this stage: still hot but down to 45% of its peak (58 on Sep 21).

Stage

🧊 Cooling — past its peak, or just left the hype

Hype score

26 / 100 · −19.7 in 1 day · −19.4 in 7 days

In hype since

not in hype now

Peak, 30 days

58.3 on Sep 21, 2026

Category

💡 Concepts

Sources above normal

2 of 23 scoring it (2 independent families)

Stories in 7 days

248

Share of voice

0.5% of the radar’s attention in 7 days

Where the attention comes from

“Normal” is the median of the source’s previous 14 normal days for this topic. A source is above normal when its value is at least 30% over that level and stands out from its usual day-to-day variation (z ≥ 2); the share is the part of the hype score that source explains. “× normal” is left blank when the normal level is 0.

Stories behind it

1. Jev isn't new tech. Its marketing targets people who think AI started with LLMs. — Reddit (r/LocalLLaMA) · Sep 23 · score 756 · 280 comments
2. Ollaya – Ollama for open-source, Jev-style decision models — Hacker News (ollaya.dev) · Sep 25 · score 609 · 145 comments
3. ollaya-dev/ollaya: Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models. — GitHub (ollaya-dev) · Sep 23 · score 862
4. Ollaya – Ollama for open-source, Jev-style decision models — HN: front-page time (ClickHouse) (ollaya.dev) · Sep 25 · score 568 · 137 comments
5. Your Agent Thinks Too Much 🤖🍗 | Crazy Thursday @ SF Tech Week — Luma (SF AI events) (SEAMATE) · score 81
6. Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI — AI newsletters (RSS) (Latent Space) · Sep 21 · score 49 · 5 comments
7. Jev 101: How I'm Using It Today in My Apps — DEV Community (dev.to) (#ai) · Sep 22 · score 30 · 3 comments
8. Just Ask Jev: Reinforcement Learning for Calibrated Decisions as a Zero-Shot Detector of AI Alignment Failures — Hugging Face Daily Papers (hf-papers) · Sep 25 · score 10 · 2 comments
9. How to Solve Hallucination (with RLCD) — Lobste.rs (#vibecoding) · Sep 28 · score 8 · 1 comment
10. Jev AI: What It Is, How It Works, Use Cases, Benefits, Limitations and Jev vs LLMs Meta Title: Jev AI Explained: What Is Jev, How It Works & Use Cases Meta Description: Learn what Jev AI is, how Type… — Mastodon (fediverse) (www.urbanmind.net) · Sep 24 · score 6 · 0 comments
11. The Agentic Loop is OUTDATED — Reddit (r/ClaudeCode) · Sep 24 · score 353 · 153 comments
12. Running a Jev-Style Decision Model on One TPU v6e: What Fits, What It Costs, and What Changes From a GPU — DEV Community (dev.to) (#gemma) · Sep 24 · score 9 · 0 comments

Themes

What its stories of the last 7 days are about: the 253 of them the Jev model kept as about the scene, by theme (a story can carry several themes):

• Models — 85% of its stories
• Protocols & infra — 18% of its stories
• Agents — 16% of its stories
• Usage & adoption — 7.9% of its stories
• Security & safety — 5.5% of its stories
• Identity & auth — 2.4% of its stories

Payment rails its stories name:

• x402 — 1 story
• Stablecoins / crypto — 1 story

Related topics

Related to

TypeSafe AI

Mentioned with

Qwen (38 stories), Local inference (32 stories), Open-weight models (19 stories), LangChain (7 stories)

Hype score, last 30 days

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