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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.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida memperkenalkan Jev, model keputusan terstruktur dari TypeSafe. Tonton film peluncuran dan eksplorasi thread asli untuk pendekatan model, contoh, dan kinerja yang dilaporkan penulis.
TypeSafe AI@typesafeaiOFFICIALPengumuman peluncuran resmi TypeSafe memperkenalkan laboratorium dan mengarahkan pengembang ke Jev. Termasuk film peluncuran Diogo Almeida dan pengantar asli.
TypeSafe AI@typesafeaiOFFICIALTypeSafe mengumumkan akses publik ke Jev tanpa daftar tunggu. Konsol resmi adalah titik awal untuk mencoba keputusan bertipe dalam aplikasi Anda sendiri.
x.comJev kini tersedia untuk semuaLihat proyek ↗TypeSafe AI@typesafeaiOFFICIALTypeSafe 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.
x.comJev dengan pendekatan output bertipeLihat proyek ↗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.
RESMITERJEMAHAN4 clicks / 7dTypeSafe AIJalur terpendek dari kunci API ke keputusan yang diberi tipe.
EnglishJev HOLDFIT 25%CAT 98%
Agens Jev yang sangat cepat untuk penggunaan browser: Jev memilih operasi dan elemen DOM dalam satu permintaan; LLM kecil hanya menulis teks saat pengetikan diperlukan.
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Kevin GrajedaKlasifier yang menilai kesulitan prompt secara real-time, memungkinkan mode cepat untuk prompt sederhana untuk meningkatkan interaksi pengguna.
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Chris TateEksperimen menggabungkan rendering JSON dengan Jev untuk menciptakan antarmuka pengguna generatif instan untuk rendering komponen dan sistem desain yang cepat.
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Plugin Claude Code yang mengganti ringkasan kompaksi dengan keputusan Jev: setiap panggilan alat dan hasilnya dinilai dalam satu permintaan cepat, yang kedaluwarsa dihapus atau dipotong, semua yang disimpan tetap dalam bentuk asli.
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RESMITERJEMAHAN4 clicks / 7dTypeSafe AIPosting peluncuran: arsitektur, pelatihan RLCD, harga, demo Doom dan Wikiracing, FAQ.
EnglishJev PASSFIT 95%CAT 98%
metr0xSimulasi di mana MOSS mengangkat sampah berdasarkan instruksi, bertujuan meningkatkan kebersihan jalan melalui pengambilan keputusan otomatis.
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RESMITERJEMAHAN4 clicks / 7dTypeSafe AIMode kegagalan yang diketahui dari model publik saat ini, dicatat oleh TypeSafe.
docs.typesafe.aiSTATE → DECISION → CODELihat proyek ↗EnglishJev HOLDFIT 78%CAT 34%
RESMITERJEMAHAN4 clicks / 7dTypeSafe AITempelkan status, tambahkan pertanyaan, dan lihat jawaban yang diberi tipe di browser.
console.typesafe.aiPlaygroundLihat proyek ↗EnglishJev HOLDFIT 18%CAT 41%
Faadil ShaikJev mengontrol Super Mario Bros. menggunakan inferensi cepat dan output terstruktur, menunjukkan potensi untuk aplikasi real-time.
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RESMITERJEMAHAN4 clicks / 7dTypeSafe AIKetentuan permintaan dan respons untuk POST /v1/systemone.
docs.typesafe.aiSTATE → DECISION → CODELihat proyek ↗EnglishJev HOLDFIT 16%CAT 100%
Klien Python resmi untuk sinkron dan asinkron. pip install typesafe-sdk.
github.comtypesafe-ai/typesafe-sdk-pythonLihat proyek ↗EnglishJev HOLDFIT 7%CAT 100%
RESMITERJEMAHAN4 clicks / 7dTypeSafe AIPengalihan spekulatif, pengiriman berdasarkan kepercayaan, penilaian komposit, dan pengiriman inten.
docs.typesafe.aiSTATE → DECISION → CODELihat proyek ↗EnglishJev HOLDFIT 10%CAT 92%
Nailthy TangEksperimen pencobaan pakaian virtual real-time menggunakan Jev untuk memilih dan mengganti pakaian berdasarkan masukan pengguna dan analisis transkrip.
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Gregor ZunicDemo pencarian penerbangan oleh Gregor Zunic dengan ruang tindakan DOM dinamis.
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RESMITERJEMAHAN4 clicks / 7dTypeSafe AIPilihan, Skor, dan Noul: tiga jenis pertanyaan dan apa yang mereka kembalikan.
docs.typesafe.aiSTATE → DECISION → CODELihat proyek ↗EnglishJev HOLDFIT 9%CAT 100%
RESMITERJEMAHAN4 clicks / 7dTypeSafe AIPengantar, primitif, pola, buku masak, API HTTP, dan referensi SDK.
docs.typesafe.aiSTATE → DECISION → CODELihat proyek ↗EnglishJev HOLDFIT 12%CAT 99%
Higgsfield AI 🧩Demo yang menunjukkan Jev memilih model AI paling sesuai untuk tugas generasi video dan gambar di Higgsfield.
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RESMITERJEMAHAN4 clicks / 7dTypeSafe AIResep yang dapat direproduksi: pertanyaan paralel, reranking, pembatas, pemeriksaan kutipan, ekstraksi, klasifikasi hierarkis.
docs.typesafe.aiSTATE → DECISION → CODELihat proyek ↗EnglishJev HOLDFIT 14%CAT 30%
RESMITERJEMAHAN4 clicks / 7dTypeSafe AIMetodologi evaluasi yang diterbitkan dan hasil per-model untuk alur kerja System One.
evals.typesafe.aiEvaluasi Kerja SamaLihat proyek ↗EnglishJev HOLDFIT 28%CAT 95%
RESMITERJEMAHAN4 clicks / 7dTypeSafe AIArgumen untuk kecerdasan yang dirancang khusus untuk perangkat lunak, bukan percakapan.
typesafe.aiManifestoLihat proyek ↗EnglishJev HOLDFIT 13%CAT 80%
RESMITERJEMAHAN4 clicks / 7dTypeSafe AIDemo interaktif resmi tentang pertanyaan berjumlah banyak dalam satu panggilan, kode menyimpan jawaban yang relevan.
docs.typesafe.aiSTATE → DECISION → CODELihat proyek ↗EnglishJev HOLDFIT 24%CAT 27%
A community project using Jev to control a Tesla Full Self Driving simulator, offering a quick rebuild.
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Using Jev for real-time control of a robot arm in MuJoCo, with a two-step decision process for actions and movements.
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Pembaruan produk dan penelitian.
x.com@typesafeai di XLihat proyek ↗EnglishJev HOLDFIT 10%CAT 77%
Server resmi TypeSafe. Demo Builder tersedia di saluran Show and Tell.
discord.ggDiscordLihat proyek ↗EnglishJev HOLDFIT 4%CAT 69%
RESMITERJEMAHAN4 clicks / 7dTypeSafe AIReferensi resmi TypeSafe: Pengantar.
docs.typesafe.aiSTATE → DECISION → CODELihat proyek ↗EnglishJev HOLDFIT 12%CAT 99%
A community post describing a robot arm controlled by Jev, using cameras and decision-making at two decisions per second.
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Pengganti TypeSafeClient resmi yang didukung oleh API LLM OpenAI, Anthropic, dan kompatibel, untuk membandingkan Jev dengan model chat.
github.comtypesafe-ai/system-one-adapter-pythonLihat proyek ↗EnglishSource-linked curation
Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.
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Perencana query berbasis Jev yang meningkatkan kinerja Postgres dengan peningkatan kecepatan 12% pada benchmark urutan gabungan.
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A developer project generating paintings based on Jev's pixel probability calculations, collected for the tools shelf.
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IzzuddinUses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
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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 Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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x.comJev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
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Mike TaylorA tool using Jev to efficiently evaluate content by producing probabilities instead of text, faster and cheaper than traditional models.
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An experiment exploring Jev's ability to solve pathfinding problems compared to traditional algorithms like A*.
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CJ (Coding Garden)A chat bot using Jev without a large language model, providing instant responses by integrating web search, Wikipedia, weather, and other tools.
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Ira BodnarJev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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A developer project offering 110 interactive use cases, games, and scenarios with editable prompts.
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A Rubik's Cube that uses Jev AI to solve itself using a human-like method rather than optimal algorithms.
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Hugo MontenegroIntegration of Jev into a game for fast and cost-effective performance.
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Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.
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RESMITypeSafe AIJev demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
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Jev is used to identify and flag low-quality text generated by Opus.
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A resource detailing a test of Jev on 12 real-world scenarios, including speed, cost, and practical applications.
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Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
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Integrates Jev into apps for smart autofill features improving user experience.
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ClineA plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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A community post describing adaptive in-app support using Jev to provide real-time assistance based on user struggles.
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Classifies tax documents using an LLM pipeline for efficient processing.
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Nick KhamiA demo showing how to make open source models behave like Jev using inference engineering and scoring endpoints for decision-making.
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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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Jev meningkatkan efisiensi pipeline keamanan, menawarkan pengurangan biaya 5x dan pemrosesan yang lebih cepat sambil mempertahankan akurasi yang lebih tinggi dibandingkan model yang lebih kecil.
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toksA community post describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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nader dabitJev's effectiveness in performing intent-based search within Gmail.
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A community post suggesting Jev can be hired as a QA tester through @typesafeai.
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A community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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hanzAn experiment to enable Jev to perform dogfighting, with ongoing improvements.
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A community post demonstrating Jev playing Flappy Apex, achieving a high score autonomously through Appduct and Fable.
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Jarrod WattsA trading bot using Jev to decide buy/sell actions based on asset price feeds and executing real trades.
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A community post compares Jev's performance to Astra in gaming scenarios, highlighting its unique approach.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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0xCodilaA setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.
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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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Nikunj KothariA task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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gokaygokayA game where Jev makes decisions to keep a city on a whale alive, integrated with GPT-6 Astra and H3 Max.
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Ilias IsmMoved hard-coded rules to Jev for faster AI processing and reduced costs in projects like aiseotracker and linkdr.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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A podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.
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Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.
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4 HIGHLIGHTS
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