A 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.
95 kaynak
AI-assisted summaries and translations. Check original sources for context and performance claims.
Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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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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OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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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.
JEVLAB ARTEnglishSource-linked curation
Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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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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CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out.
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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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Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code.
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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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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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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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I tortured Jev into being a RISC-V CPU.
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Interactive explorer and Jev question workspace for Jev Board datasets.
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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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A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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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 enabling SQL queries with real type responses.
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Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
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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 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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Papers, open reproductions and independent evaluations behind System One models and Jev.
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Replicating Jev with a local LLM.
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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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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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Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
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A research project auditing Jev's performance with the Spanish language.
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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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TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing.
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Jev-compatible System 开源Jev.
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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
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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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A research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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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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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 collection of research papers and open reproductions supporting System One models.
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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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This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
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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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Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.
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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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Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
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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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A chatbot project that responds to typed questions, part of a research collection.
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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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Experiments with openjev, an open Jev-style option-logit runner, on local models.
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An open-source project aiming to develop a Jev-class decision model for research purposes.
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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 chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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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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Batched single-token choice inference for open language models, compatible with TypeSafe.
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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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JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
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TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
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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 research project evaluating the practical value of Jev's confidence scores for task execution.
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Find, design, and evaluate TypeSafe Jev decision loops.
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Feedback on your paper in seconds.
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If you're experimenting with jev it will be easier from here.
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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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A research project on GitHub conducting nine experiments and 28 predictions with fixed parameters, focusing on Jev's performance metrics.
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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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TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model.
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Using Jev as an evaluator.
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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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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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4 HIGHLIGHTS
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