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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Jev’in en iyileri: gerçek projeler, pratik rehberler ve internetten fikirler.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
TypeSafe AI@typesafeaiOFFICIALTypeSafe'ın resmi lansman duyurusu, laboratuvarı tanıtır ve geliştiricileri Jev'e yönlendirir. Diogo Almeida'nın lansman filmi ve orijinal girişimi içerir.
TypeSafe AI@typesafeaiOFFICIALTypeSafe, Jev'e açık erişimi duyurdu. Resmi konsol, uygulamanızda türden kararlar denemek için başlangıç noktasıdır.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe, Jev'in türden çıktı yaklaşımını vurgular: uygulamalar durum ve sorular sağlar, ardından olasılıklar, seçimler veya puanlara göre hareket eder. Bağlantılı duyuruda Venice API entegrasyonu da yer alır.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
114 kaynak
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.
JEVLAB ART
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A collection of research papers and open reproductions supporting System One models.
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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 research project enabling SQL queries with real type responses.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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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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A YouTube guide discussing Jev's functionality, pricing, and performance comparisons with Astra, including benchmarking and parallel decision analysis.
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Directory of Jev-based projects including repositories, SDKs, and 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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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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I tortured Jev into being a RISC-V CPU.
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Riley BrownA real-time tool to analyze and categorize tweets for viral potential.
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Hugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev.
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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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Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
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An open-source project aiming to develop a Jev-class decision model for research purposes.
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A research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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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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Openvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド.
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A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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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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A stronger one-pass scorer over a variable list of text options: hashed n-gram encoder, rival-aware attention, gated head, temperature scaling, benchmarked against jevlike.
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A research project auditing Jev's performance with the Spanish language.
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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
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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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Jev integrates into a recommendation engine, providing 70+ personalized suggestions per user at 0.0019$ per user.
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A chatbot project that responds to typed questions, part of a research collection.
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OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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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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If you're experimenting with jev it will be easier from here.
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Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher.
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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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Feedback on your paper in seconds.
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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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Jev enables fast search of physical library indexes.
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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Can Jev pick the winner of a real headline A/B test? 64.5% across 10,984 Upworthy randomized experiments, 74.7% when the difference was decisive.
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Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
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A small second eval for shadcn-ui/lint that uses TypeSafe's Jev to judge the linter's own output.
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End-to-end Jev-style structured-decision stack for auditable data construction, Qwen3.5-0.8B training, fixed Mind2Web and OOD evaluation, preliminary RLCD, local serving, and interactive replay.
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Interactive explorer and Jev question workspace for Jev Board datasets.
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ZachiA PostgreSQL extension enabling natural language queries across databases.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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Tool for systematic reviewers to extract information from research articles efficiently.
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Release-week technical roundup: API, evals, adapter, and skill.
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Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
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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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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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Open, Jev-compatible System One decision server on DiffusionGemma.
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看看 Jev 能做什么：用中英文讲清热门应用、工作原理和各自优缺点。Explore Jev apps with plain-language examples, explanations, and comparisons.
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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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A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
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A research project evaluating the practical value of Jev's confidence scores for task execution.
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fatwang2A free open-source search tool powered by Jev and a search API for plain language queries.
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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
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A word-level language model whose output layer is Jev: n-gram drafter, Noul chunk verification, bits-per-token eval.
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Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
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A research project on GitHub conducting nine experiments and 28 predictions with fixed parameters, focusing on Jev's performance metrics.
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Dev.to walkthrough of the Vercel AI SDK evaluate integration.
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A reproduction of Jev that turns any Qwen model into a fast decision model, serving the same /v1/systemone schema (Choice, Score, Noul) with no training and no generated answer text.
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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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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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Vishesh BaghelA community project using Jev to customize Hacker News content preferences.
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Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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Never confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong verdicts. Film, code, and every captured call.
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TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model.
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One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.
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4 HIGHLIGHTS
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Research & data
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