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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Tinh hoa Jev: dự án thực tế, hướng dẫn hữu ích và ý tưởng từ khắp internet.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida giới thiệu Jev, mô hình ra quyết định có cấu trúc của TypeSafe. Xem bộ phim giới thiệu và khám phá chuỗi gốc để tìm hiểu cách tiếp cận, ví dụ và hiệu năng được báo cáo bởi tác giả.
TypeSafe AI@typesafeaiOFFICIALThông báo chính thức ra mắt TypeSafe giới thiệu phòng thí nghiệm và hướng người phát triển đến Jev. Bao gồm bộ phim giới thiệu của Diogo Almeida và lời giới thiệu ban đầu.
TypeSafe AI@typesafeaiOFFICIALTypeSafe thông báo truy cập công khai vào Jev mà không cần danh sách chờ. Bảng điều khiển chính thức là điểm bắt đầu để thử nghiệm các quyết định có kiểu trong ứng dụng của bạn.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe nhấn mạnh cách tiếp cận đầu ra có kiểu của Jev: các ứng dụng cung cấp trạng thái và câu hỏi, sau đó thực hiện hành động dựa trên xác suất, lựa chọn hoặc điểm số. Thông báo liên quan cũng đề cập đến tích hợp API Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
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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 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.
JEVLAB ARTEnglishSource-linked curation
Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
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TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing.
JEVLAB ARTEnglishSource-linked curation
Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.
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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 spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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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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Papers, open reproductions and independent evaluations behind System One models and Jev.
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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
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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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Interactive explorer and Jev question workspace for Jev Board datasets.
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Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
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A research project enabling SQL queries with real type responses.
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Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
JEVLAB ARTEnglishSource-linked curation
Sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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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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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model.
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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 small second eval for shadcn-ui/lint that uses TypeSafe's Jev to judge the linter's own output.
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Open, Jev-compatible System One decision server on DiffusionGemma.
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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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An open-source project aiming to develop a Jev-class decision model for research purposes.
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CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out.
JEVLAB ARTEnglishSource-linked curation
Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
JEVLAB ARTEnglishSource-linked curation
Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher.
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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.
JEVLAB ARTEnglishSource-linked curation
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.
JEVLAB ARTEnglishSource-linked curation
A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
JEVLAB ARTEnglishSource-linked curation
Jev 1.13 reward-model evaluation across 8 benchmark tracks, with an interactive report and 54-row SOTA comparison.
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Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
JEVLAB ARTEnglishSource-linked curation
Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code.
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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).
JEVLAB ARTEnglishSource-linked curation
A show-and-tell capability study for Jev, TypeSafe's System One decision model.
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A chatbot project that responds to typed questions, part of a research collection.
JEVLAB ARTEnglishSource-linked curation
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
JEVLAB ARTEnglishSource-linked curation
TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
JEVLAB ARTEnglishSource-linked curation
Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
JEVLAB ARTEnglishSource-linked curation
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。
JEVLAB ARTEnglishSource-linked curation
Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
JEVLAB ARTEnglishSource-linked curation
Bài kiểm tra quyết định có kiểu từ PadFlow (SaaS phát triển đất đai): sơ đồ, hàng dữ liệu đã ẩn danh và trình chạy cho các mô hình được hiệu chuẩn độ tin cậy như Jev của TypeSafe.
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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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Find, design, and evaluate TypeSafe Jev decision loops.
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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.
JEVLAB ARTEnglishSource-linked curation
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.
JEVLAB ARTEnglishSource-linked curation
Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
JEVLAB ARTEnglishSource-linked curation
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
Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
JEVLAB ARTEnglishSource-linked curation
A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
JEVLAB ARTEnglishSource-linked curation
Batched single-token choice inference for open language models, compatible with TypeSafe.
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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).
JEVLAB ARTEnglishSource-linked curation
Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
JEVLAB ARTEnglishSource-linked curation
A research project auditing Jev's performance with the Spanish language.
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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).
JEVLAB ARTEnglishSource-linked curation
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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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
JEVLAB ARTEnglishSource-linked curation
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
JEVLAB ARTEnglishSource-linked curation
Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
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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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Check whether each cited paper supports the sentence citing it. Claude proves the quote, TypeSafe's Jev scores it, a human decides.
JEVLAB ARTEnglishSource-linked curation
JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
JEVLAB ARTEnglishSource-linked curation
Curated catalog of System One / Decision Models — contributions for modelsystem.one.
JEVLAB ARTEnglishSource-linked curation
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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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.
JEVLAB ARTEnglishSource-linked curation
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4 HIGHLIGHTS
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