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Recent activityA FIELD GUIDE TO JEV / VOL. 01
รวมโปรเจกต์จริง คู่มือใช้งาน และไอเดีย Jev จากทั่วอินเทอร์เน็ต
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida แนะนำ Jev โมเดลการตัดสินใจที่มีโครงสร้างของ TypeSafe ดูภาพยนตร์เปิดตัวและสำรวจสายการสนทนาต้นฉบับเพื่อดูแนวทาง ตัวอย่าง และประสิทธิภาพที่ผู้เขียนรายงาน
TypeSafe AI@typesafeaiOFFICIALประกาศเปิดตัวอย่างเป็นทางการของ TypeSafe แนะนำห้องทดลองและชี้ให้ผู้สร้างไปยัง Jev มีภาพยนตร์เปิดตัวของ Diogo Almeida และการแนะนำตัวอย่างแรก
TypeSafe AI@typesafeaiOFFICIALTypeSafe ประกาศการเข้าถึงสาธารณะของ Jev โดยไม่มีรายชื่อรอ คอนโซลทางการคือจุดเริ่มต้นในการลองใช้การตัดสินใจแบบมีประเภทในแอปพลิเคชันของคุณเอง
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe ชี้ให้เห็นถึงแนวทางการออกผลแบบมีประเภทของ Jev: แอปพลิเคชันให้สถานะและคำถาม แล้วดำเนินการตามความน่าจะเป็น ตัวเลือก หรือคะแนน ประกาศที่เชื่อมโยงยังครอบคลุมการผสานรวม API Venice
JEVLAB ARTStart with the Launch Post. Explore four official signals.
114 แหล่งข้อมูล
AI-assisted summaries and translations. Check original sources for context and performance claims.
Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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Riley BrownA real-time tool to analyze and categorize tweets for viral potential.
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Tool for systematic reviewers to extract information from research articles efficiently.
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Vishesh BaghelA community project using Jev to customize Hacker News content preferences.
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Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。
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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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Jev enables fast search of physical library indexes.
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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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A YouTube guide discussing Jev's functionality, pricing, and performance comparisons with Astra, including benchmarking and parallel decision analysis.
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Catch breaking API behavior hidden in OpenAPI prose with deterministic checks and TypeSafe JEV System One semantic review.
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Sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model.
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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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Jev 1.13 reward-model evaluation across 8 benchmark tracks, with an interactive report and 54-row SOTA comparison.
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Find, design, and evaluate TypeSafe Jev decision loops.
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ZachiA PostgreSQL extension enabling natural language queries across databases.
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A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
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Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
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OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
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A research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.
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A collection of research papers and open reproductions supporting System One models.
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Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.
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Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
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TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model.
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Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaper.
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Milind SUtilizes Jev as a decision engine to manage and coordinate multiple bot agents for complex tasks.
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Replicating Jev with a local LLM.
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On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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A show-and-tell capability study for Jev, TypeSafe's System One decision model.
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An open-source project aiming to develop a Jev-class decision model for research purposes.
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See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
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Batched single-token choice inference for open language models, compatible with TypeSafe.
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Check whether each cited paper supports the sentence citing it. Claude proves the quote, TypeSafe's Jev scores it, a human decides.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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Open, Jev-compatible System One decision server on DiffusionGemma.
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@ai-sdk/typesafe-ai plus experimental_evaluate; use jev-latest as an evaluation model.
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发明 RLHF 的人，这次做了个不会说话的模型：Jev 独立研究报告。52 页 PDF + 50 条中文实测复现包 + 143 条可回溯数据表.
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Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
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Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
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Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
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A research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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Interactive explorer and Jev question workspace for Jev Board datasets.
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JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
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Jev integrates into a recommendation engine, providing 70+ personalized suggestions per user at 0.0019$ per user.
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A research project enabling SQL queries with real type responses.
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Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code.
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Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.
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This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
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If you're experimenting with jev it will be easier from here.
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TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing.
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High-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, Noul).
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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
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Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
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Using Jev as an evaluator.
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AI benchmark on Japan's 2026 Common Test: Jev vs luna-none vs luna-low (static dashboard).
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Hugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev.
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Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE).
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Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal).
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
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Jev-compatible System 开源Jev.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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Can a decision model beat dedicated rerankers? TypeSafe Jev vs Cohere Rerank 4 vs ZeroEntropy zerank-2 vs a chat-model baseline: 14 datasets, every raw API response, bootstrap ranges on every gap.
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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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