A FIELD GUIDE TO JEV / VOL. 01
Das Beste von Jev: echte Projekte, praktische Anleitungen und Ideen aus dem Netz.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida stellt Jev vor, das strukturierte Entscheidungsmodell von TypeSafe. Schauen Sie sich den Launch-Film an und erkunden Sie den ursprünglichen Thread für den Ansatz des Modells, Beispiele und die vom Autor gemeldeten Leistungen.
TypeSafe AI@typesafeaiOFFICIALDie offizielle Launch-Ankündigung von TypeSafe stellt das Labor vor und verweist Entwickler auf Jev. Sie enthält Diogos Almeidas Launch-Film und die ursprüngliche Einführung.
TypeSafe AI@typesafeaiOFFICIALTypeSafe kündigt die öffentliche Zugänglichkeit von Jev ohne Warteliste an. Die offizielle Konsole ist der Ausgangspunkt, um typisierte Entscheidungen in Ihrer eigenen Anwendung zu testen.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe betont den typisierten Ausgabeansatz von Jev: Anwendungen geben Zustand und Fragen an, dann handeln sie auf Wahrscheinlichkeiten, Auswahl oder Bewertungen. Der verknüpfte Ankündigungstext behandelt auch die Venice API-Integration.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
95 Ressourcen
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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A collection of research papers and open reproductions supporting System One models.
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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 small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
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Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.
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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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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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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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The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
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OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
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Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
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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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Bewertungsschemas für typbasierte Entscheidungen aus PadFlow mit anonymisierten Daten und einem Ausführungsprogramm für modellbasierte Systeme wie Jev.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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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 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 enabling SQL queries with real type responses.
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Feedback on your paper in seconds.
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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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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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Interactive explorer and Jev question workspace for Jev Board datasets.
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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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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An open-source project aiming to develop a Jev-class decision model for research purposes.
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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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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
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Jev (TypeSafe) vs. Gemini 3.8 Flash vs. GPT-5.6 Luna na anotação estruturada de sentenças do TJSP: qualidade, tempo e custo.
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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
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Jev-compatible System 开源Jev.
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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model.
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JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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Open, Jev-compatible System One decision server on DiffusionGemma.
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CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out.
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Find, design, and evaluate TypeSafe Jev decision loops.
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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 on GitHub conducting nine experiments and 28 predictions with fixed parameters, focusing on Jev's performance metrics.
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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 chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively).
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Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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I tortured Jev into being a RISC-V CPU.
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A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
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If you're experimenting with jev it will be easier from here.
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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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See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
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A show-and-tell capability study for Jev, TypeSafe's System One decision model.
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Experiments with openjev, an open Jev-style option-logit runner, on local models.
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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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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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Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.
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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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Batched single-token choice inference for open language models, compatible with TypeSafe.
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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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A research project auditing Jev's performance with the Spanish language.
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Independent calibration test of TypeSafe's Jev on a task it cannot have seen: 900 rule-generated support tickets (choice / score / boolean) plus 3 public benchmarks via Vercel AI Gateway. Raw responses, ECE with noise floor, temperature refit, per-type sign of miscalibration. Reproducible for ~$0.06.
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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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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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Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.
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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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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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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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TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
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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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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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Using Jev as an evaluator.
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On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
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Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
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