Posting peluncuran Jev
Diogo Almeida memperkenalkan Jev, model keputusan terstruktur dari TypeSafe. Tonton film peluncuran dan eksplorasi thread asli untuk pendekatan model, contoh, dan kinerja yang dilaporkan penulis.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Yang terbaik dari Jev: proyek nyata, panduan praktis, dan ide dari seluruh internet.
Diogo Almeida memperkenalkan Jev, model keputusan terstruktur dari TypeSafe. Tonton film peluncuran dan eksplorasi thread asli untuk pendekatan model, contoh, dan kinerja yang dilaporkan penulis.
Pengumuman peluncuran resmi TypeSafe memperkenalkan laboratorium dan mengarahkan pengembang ke Jev. Termasuk film peluncuran Diogo Almeida dan pengantar asli.
TypeSafe mengumumkan akses publik ke Jev tanpa daftar tunggu. Konsol resmi adalah titik awal untuk mencoba keputusan bertipe dalam aplikasi Anda sendiri.
TypeSafe menyoroti pendekatan Jev untuk output bertipe: aplikasi menyediakan state dan pertanyaan, lalu bertindak berdasarkan probabilitas, pilihan, atau skor. Pengumuman terkait juga mencakup integrasi API Venice.
Start with the Launch Post. Explore four official signals.
114 sumber
AI-assisted summaries and translations. Check original sources for context and performance claims.
A research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.
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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 enabling SQL queries with real type responses.
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A collection of research papers and open reproductions supporting System One models.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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Tool for systematic reviewers to extract information from research articles efficiently.
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A 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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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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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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Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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A community project using Jev to customize Hacker News content preferences.
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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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Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaper.
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Jev enables fast search of physical library indexes.
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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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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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CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out.
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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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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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A research project evaluating the practical value of Jev's confidence scores for task execution.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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A free open-source search tool powered by Jev and a search API for plain language queries.
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Feedback on your paper in seconds.
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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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A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively).
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Utilizes Jev as a decision engine to manage and coordinate multiple bot agents for complex tasks.
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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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This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
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Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
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TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
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An open-source project aiming to develop a Jev-class decision model for research purposes.
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Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
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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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Sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model.
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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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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
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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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@ai-sdk/typesafe-ai plus experimental_evaluate; use jev-latest as an evaluation model.
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A real-time tool to analyze and categorize tweets for viral potential.
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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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If you're experimenting with jev it will be easier from here.
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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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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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Release-week technical roundup: API, evals, adapter, and skill.
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Benchmark keputusan berjenis dari PadFlow (SaaS pengembangan lahan): skema, baris yang diberi label anonim, dan pelari untuk model yang dikalibrasi kepercayaan seperti Jev TypeSafe.
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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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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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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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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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Find, design, and evaluate TypeSafe Jev decision loops.
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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
JEVLAB ARTSource-linked curation
A research project on GitHub conducting nine experiments and 28 predictions with fixed parameters, focusing on Jev's performance metrics.
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JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
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Jev monitors 25 WhatsApp customer groups in real time, alerting an LLM only when urgent issues arise.
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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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Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
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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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On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
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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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Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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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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A show-and-tell capability study for Jev, TypeSafe's System One decision model.
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Using Jev as an evaluator.
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A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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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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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 uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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Papers, open reproductions and independent evaluations behind System One models and Jev.
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