Il post di lancio di Jev
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Il meglio di Jev: progetti reali, guide pratiche e idee da tutto il web.
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
L'annuncio ufficiale di lancio di TypeSafe introduce il laboratorio e indica agli sviluppatori di Jev. Include il filmato di lancio di Diogo Almeida e l'introduzione originale.
TypeSafe annuncia l'accesso pubblico a Jev senza lista d'attesa. La console ufficiale è il punto di partenza per provare le decisioni tipizzate nelle proprie applicazioni.
TypeSafe evidenzia l'approccio di output tipizzato di Jev: le applicazioni forniscono stato e domande, quindi agiscono su probabilità, scelte o punteggi. L'annuncio collegato copre anche l'integrazione dell'API Venice.
Start 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.
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A PostgreSQL extension enabling natural language queries across databases.
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Tool for systematic reviewers to extract information from research articles efficiently.
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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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A community project using Jev to customize Hacker News content preferences.
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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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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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TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing.
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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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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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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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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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Jev versus a hand-built regex on 544 public data-protection resolutions: 98.2% agreement for about five cents.
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A research project enabling SQL queries with real type responses.
JEVLAB ARTSource-linked curation
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
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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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Utilizes Jev as a decision engine to manage and coordinate multiple bot agents for complex tasks.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
JEVLAB ARTSource-linked curation
A real-time tool to analyze and categorize tweets for viral potential.
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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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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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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.
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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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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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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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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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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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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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Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
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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).
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A show-and-tell capability study for Jev, TypeSafe's System One decision model.
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Jev enables fast search of physical library indexes.
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A chatbot project that responds to typed questions, part of a research collection.
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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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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A collection of research papers and open reproductions supporting System One models.
JEVLAB ARTSource-linked curation
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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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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@ai-sdk/typesafe-ai plus experimental_evaluate; use jev-latest as an evaluation model.
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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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Benchmark di decisioni strutturate da PadFlow (SaaS per lo sviluppo immobiliare): schemi, righe anonimizzate con etichette e un runner per modelli calibrati nella fiducia come Jev di 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.
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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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Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
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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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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
JEVLAB ARTSource-linked curation
Jev integrates into a recommendation engine, providing 70+ personalized suggestions per user at 0.0019$ per user.
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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).
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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 research project auditing Jev's performance with the Spanish language.
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