Tagged articles

AI decision-making

5 articles · Page 1 of 1

Sep 21, 2026 · Artificial Intelligence

Jev: The $0.042/M Token 'System 1' Model for Fast Semantic Judgments

TypeSafe's Jev model returns calibrated probability distributions over predefined options instead of generating text, enabling 100ms semantic decisions like classification and routing at $0.042 per million input tokens, with production adoption in customer service, browser automation, CI/CD, and game agents within days of release.

AI decision-makingJevSystem 1 model

0 likes · 21 min read

Jev: The $0.042/M Token 'System 1' Model for Fast Semantic Judgments

AI Engineering

Sep 18, 2026 · Artificial Intelligence

Jev: The Decision-Only AI Model That Sparked 14 Projects in 48 Hours

TypeSafe AI's Jev model, a non-generative 'System One' classifier using parallel constrained decoding and RLCD calibration, delivers 20-200x speedups and 40-400x cost reductions over LLMs for structured decisions, spawning 14 open-source projects in 48 hours for routing, browser automation, coding tools, game control, and rocket landing.

AI automationAI decision-makingJev

0 likes · 17 min read

Jev: The Decision-Only AI Model That Sparked 14 Projects in 48 Hours

AI Large-Model Wave and Transformation Guide

Sep 9, 2026 · Artificial Intelligence

Why LLMs Fail at Critical Decisions: Ontologies Provide the Missing World Model

The author details how LLMs failed in underwater battlefield simulations despite trying prompts, agents, RAG, and knowledge graphs, and explains why ontologies — formal, reasoning-capable world models — are essential for trustworthy AI decisions, illustrating with a concrete case and a six-step ontology engineering process.

AI decision-makingLLM limitationsOntoL

0 likes · 12 min read

Why LLMs Fail at Critical Decisions: Ontologies Provide the Missing World Model

Smart Workplace Lab

Jun 6, 2026 · Operations

When Executives Blindly Approve AI Plans, How Black‑Box Decision Penetration Reveals Strategic Pitfalls

The article explains why unquestioned AI‑generated growth models can hide critical risks, introduces a black‑box decision‑penetration framework that forces counter‑factual pressure testing, and provides concrete prompts, checklists, and routing rules that cut trial‑and‑error costs by up to 75% while improving decision certainty.

AI decision-makingcounterfactual analysisdecision governance

0 likes · 6 min read

When Executives Blindly Approve AI Plans, How Black‑Box Decision Penetration Reveals Strategic Pitfalls

Smart Workplace Lab

May 30, 2026 · Artificial Intelligence

Why Too Many AI “Perfect” Options Paralyze Decisions—and a 3‑Step Constraint Framework to Fix It

The article explains how an overload of AI‑generated options overwhelms human working memory, then presents a three‑step framework—hard‑constraint prompts, decision‑protection checklist, and overdue‑circuit‑breaker routing—that narrows choices, speeds decisions from days to hours, and improves execution certainty.

AI decision-makingDecision AutomationLLM

0 likes · 6 min read

Why Too Many AI “Perfect” Options Paralyze Decisions—and a 3‑Step Constraint Framework to Fix It