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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.
114 tài nguyên
AI-assisted summaries and translations. Check original sources for context and performance claims.
ZachiA PostgreSQL extension enabling natural language queries across databases.
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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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Riley BrownA real-time tool to analyze and categorize tweets for viral potential.
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Jev enables fast search of physical library indexes.
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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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Jev integrates into a recommendation engine, providing 70+ personalized suggestions per user at 0.0019$ per user.
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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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Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher.
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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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A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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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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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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See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
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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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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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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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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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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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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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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
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Replicating Jev with a local LLM.
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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 from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
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Using Jev as an evaluator.
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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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On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
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Release-week technical roundup: API, evals, adapter, and skill.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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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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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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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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A research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.
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Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
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I tortured Jev into being a RISC-V CPU.
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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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Find, design, and evaluate TypeSafe Jev decision loops.
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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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Feedback on your paper in seconds.
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A chatbot project that responds to typed questions, part of a research collection.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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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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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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A show-and-tell capability study for Jev, TypeSafe's System One decision model.
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Vishesh BaghelA community project using Jev to customize Hacker News content preferences.
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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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Dev.to walkthrough of the Vercel AI SDK evaluate integration.
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If you're experimenting with jev it will be easier from here.
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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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One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.
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Tool for systematic reviewers to extract information from research articles efficiently.
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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 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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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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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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A research project auditing Jev's performance with the Spanish language.
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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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Milind SUtilizes Jev as a decision engine to manage and coordinate multiple bot agents for complex tasks.
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A collection of research papers and open reproductions supporting System One models.
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Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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A research project enabling SQL queries with real type responses.
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TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
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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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This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
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Papers, open reproductions and independent evaluations behind System One models and Jev.
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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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4 HIGHLIGHTS
Research & data
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