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Recent activityA 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.
114 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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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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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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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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A collection of research papers and open reproductions supporting System One models.
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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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Vishesh BaghelA community project using Jev to customize Hacker News content preferences.
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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 small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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A research project enabling SQL queries with real type responses.
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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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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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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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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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Jev-compatible System 开源Jev.
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A research project evaluating the practical value of Jev's confidence scores for task execution.
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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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Batched single-token choice inference for open language models, compatible with TypeSafe.
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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
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On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
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A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively).
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ZachiA PostgreSQL extension enabling natural language queries across databases.
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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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I tortured Jev into being a RISC-V CPU.
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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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A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
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Interactive explorer and Jev question workspace for Jev Board datasets.
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Eval of Jev turning free-text player intent into typed server actions: 96% agreement, 317 ms median.
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@ai-sdk/typesafe-ai plus experimental_evaluate; use jev-latest as an evaluation model.
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Hugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev.
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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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Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
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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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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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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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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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Replicating Jev with a local LLM.
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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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Using Jev as an evaluator.
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TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model.
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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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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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Experiments with openjev, an open Jev-style option-logit runner, on local models.
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Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
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Tool for systematic reviewers to extract information from research articles efficiently.
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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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Semantic test matchers for Vitest and Jest, powered by TypeSafe's Jev model. Write expectations in plain English, get calibrated probabilities back.
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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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Papers, open reproductions and independent evaluations behind System One models and Jev.
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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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A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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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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AI benchmark on Japan's 2026 Common Test: Jev vs luna-none vs luna-low (static dashboard).
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A chatbot project that responds to typed questions, part of a research collection.
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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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Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
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Dev.to walkthrough of the Vercel AI SDK evaluate integration.
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Find, design, and evaluate TypeSafe Jev decision loops.
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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
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Riley BrownA real-time tool to analyze and categorize tweets for viral potential.
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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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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
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Open, Jev-compatible System One decision server on DiffusionGemma.
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Feedback on your paper in seconds.
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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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A show-and-tell capability study for Jev, TypeSafe's System One decision model.
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Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.
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t0t0Jev monitors 25 WhatsApp customer groups in real time, alerting an LLM only when urgent issues arise.
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