Jev 런치 포스트
Diogo Almeida가 TypeSafe의 구조화된 판단 모델 Jev를 소개합니다. 런치 영상과 원문 스레드에서 접근 방식, 활용 사례, 제작자가 발표한 성능을 확인하세요.
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최근 활동 집계A FIELD GUIDE TO JEV / VOL. 01
인터넷 곳곳의 Jev 프로젝트, 실용적인 가이드와 놀라운 아이디어를 한곳에서.
Diogo Almeida가 TypeSafe의 구조화된 판단 모델 Jev를 소개합니다. 런치 영상과 원문 스레드에서 접근 방식, 활용 사례, 제작자가 발표한 성능을 확인하세요.
TypeSafe가 스텔스 모드를 마치고 Jev를 공개했습니다. Diogo Almeida의 런치 영상과 소개 스레드로 이어지는 공식 발표입니다.
TypeSafe가 대기 목록 없는 Jev 공개 접근을 발표했습니다. 공식 콘솔에서 앱에 사용할 구조화된 판단을 시작할 수 있습니다.
TypeSafe가 Jev의 구조화된 출력을 소개합니다. 앱의 상태와 질문을 전달하면 확률·선택지·점수로 응답하며, 연결된 발표에서 Venice API 통합도 확인할 수 있습니다.
Launch Post부터 시작하세요. 공식 원문 4편을 살펴볼 수 있어요.
65 개 자료
요약·번역에 AI를 활용합니다. 원문과 성능 주장은 출처에서 확인하세요.
대화가 아니라 소프트웨어의 판단을 위해 설계한 지능이라는 TypeSafe의 방향을 소개합니다.
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아키텍처, RLCD 학습, 가격, Doom·Wikiracing 데모와 FAQ를 담은 공식 출시 글입니다.
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브라우저에서 상태와 질문을 입력하고 타입이 정해진 응답을 직접 확인할 수 있습니다.
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TypeSafe 공식 서버입니다. Show and Tell 채널에서 제작자들의 데모를 찾아볼 수 있습니다.
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시스템 원 워크플로에 대한 평가 방법론과 모델별 결과가 공개되었습니다.
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A practical guide explaining the use of TypeSafe’s System One model, providing technical insights for developers.
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Jev is discussed with examples of Choice, Noul, and Score in a Python project.
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A report detailing all public Jev builds in the first week, including cost, time, and repository metadata for research use.
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Krunker-style 1v1 FPS where Jev decides move, aim, ADS, fire, and jump at about 9 Hz.
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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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Dev.to walkthrough of the Vercel AI SDK evaluate integration.
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회사 홈페이지, 대기 목록 및 제품 개요.
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1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
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A resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.
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A guide on using Jev to route between models and block risky tool calls.
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Página do criador Leonardo Bissoli com seu vídeo, capítulos e referências sobre decisões estruturadas com Jev.
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Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
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A tool for tracking decisions made by Jev, using Arize's instrumentation for detailed analysis.
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A guide exploring Jev's architecture through 10,000 API calls.
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3D chess where Jev plays both sides, or you jump in.
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A resource explaining Jev Engineering methodology for AI agent development.
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Latent Space's launch-day roundup: over 100x faster and 200x cheaper than small frontier LLMs.
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Japanese walkthrough of what Jev is and is not.
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Anthony Maio's essay on what a model that cannot generate text is for.
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A guide on integrating Jev with LiteLLM for simplified model calls through an existing proxy.
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A resource explaining Jev's capabilities, limitations, and applications as a System One model.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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X client with Jev smart rules that filter the timeline by usefulness, type, and topic.
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Independent walkthrough separating TypeSafe's published claims from public evidence.
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A guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.
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Work-in-progress demo of Jev driving Minecraft, including fleeing zombies at night.
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Jev selects legal moves in a game of chess, compared to reasoning models.
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A directory of Jev-related demos with categorization and submission options.
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Hosted typesafe-ai/jev for AI SDK evaluate calls, no TypeSafe waitlist required.
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A tech publication highlights Jev as an AI model offering a cost-effective and efficient approach to software intelligence.
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@ai-sdk/typesafe-ai plus experimental_evaluate; use jev-latest as an evaluation model.
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A 30-minute internal session on Jev attended by over 50 engineers, generating more than 50 product ideas.
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Practical guide: playground, Python and JS SDKs, raw HTTP, and the agent skill.
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Village NPCs that judge you each tick, deciding what to do and how they feel, instead of chatting.
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Directory listing systems using Jev for Noul, Score, and Choice questions.
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Hugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev.
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Jev vs Jev gomoku with source and timing logs.
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Guía del creador Fazt sobre el uso de Jev para decisiones tipadas, con una introducción y ejemplos de aplicaciones.
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Every's Mike Taylor runs his whole archive through Jev.
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Playable board games driven by Jev decisions.
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One sentence becomes six room settings. Jev chooses, the app renders.
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Talk nicely or nastily over time; structured state tracks the mood.
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The Neuron's explainer on AI decisions without a chatbot.
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Jev integrates with Netlify's AI Gateway for zero-configuration use.
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Head-to-head test at validating local event listings, with cost and latency.
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Local Telegram channel JSON analyzer for intent, quality, sentiment, and speaker tone.
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Technical SEO audit cost study from Boring Tools Kit where Jev ranks striking-distance fixes and content gaps by calibrated probability.
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Val Town demo where 16 typed judgments update live as you type.
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A LangChain package with TypeSafeClassifier for integrating Jev into applications.
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The maze as JSON; Jev picks the turn at each junction in real time.
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Small game that tests how Jev handles unknown input.
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The Register on the launch, the Doom demo, and the $40M seed round.
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Jev picks rotation and column from holes, stack height, and bumpiness.
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Third-party write-up of the System One primitives, pricing, and vendor workflow evals.
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Short practical intro with a Python ticket-triage example.
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Browser-based request builder for the System One API: compose state plus typed Noul, Choice, and Score questions. Mock mode runs locally without an API key; Live mode requires your TypeSafe key and calls api.typesafe.ai directly. Generates typesafe_sdk Python. Includes companion Jev Suitability Test.
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Test a post against 10,000 synthetic personas before you publish it.
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Release-week technical roundup: API, evals, adapter, and skill.
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One direct Jev question per row against 12–14 Jev-scored dimensions with locally fitted weights on three classification tasks: 5,477 test rows, 25,174 Jev calls, $1.43. Decomposition wins on Japanese NLI (0.9076 vs 0.8373) but flags about 25× more hard benign rows as attacks (37.2% vs 1.5%).
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Free, no-signup Noul demo. Ask a question, get yes, no, or maybe, with web search when needed.
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