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.
95 sumber
AI-assisted summaries and translations. Check original sources for context and performance claims.
A research project enabling SQL queries with real type responses.
JEVLAB ARTSource-linked curation
A research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.
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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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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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Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
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If you're experimenting with jev it will be easier from here.
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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
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Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
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Using Jev as an evaluator.
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A show-and-tell capability study for Jev, TypeSafe's System One decision model.
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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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Open, Jev-compatible System One decision server on DiffusionGemma.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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A research project evaluating the practical value of Jev's confidence scores for task execution.
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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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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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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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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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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
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Find, design, and evaluate TypeSafe Jev decision loops.
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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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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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Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.
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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 collection of research papers and open reproductions supporting System One models.
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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
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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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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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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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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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An open-source project aiming to develop a Jev-class decision model for research purposes.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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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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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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Jev-compatible System 开源Jev.
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OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
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Feedback on your paper in seconds.
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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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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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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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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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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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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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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A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
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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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Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.
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Papers, open reproductions and independent evaluations behind System One models and Jev.
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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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Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.
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CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out.
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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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AI benchmark on Japan's 2026 Common Test: Jev vs luna-none vs luna-low (static dashboard).
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Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
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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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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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Batched single-token choice inference for open language models, compatible with TypeSafe.
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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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Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
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A chatbot project that responds to typed questions, part of a research collection.
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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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Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
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I tortured Jev into being a RISC-V CPU.
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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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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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One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.
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