Publicación de lanzamiento de Jev
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
El anuncio oficial de lanzamiento de TypeSafe presenta el laboratorio y orienta a los desarrolladores a Jev. Incluye el film de lanzamiento de Diogo Almeida y su introducción original.
TypeSafe anuncia el acceso público a Jev sin lista de espera. La consola oficial es el punto de partida para probar decisiones tipadas en su propia aplicación.
TypeSafe destaca el enfoque de salida tipada de Jev: las aplicaciones proporcionan estado y preguntas, luego actúan sobre probabilidades, elecciones o puntajes. La anunciación vinculada también cubre la integración de la API de 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.
Simulación donde MOSS recoge basura según instrucciones, buscando mejorar la limpieza de las calles mediante toma de decisiones automatizada.
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Jev controla Super Mario Bros. usando inferencia rápida y salidas estructuradas, demostrando potencial para aplicaciones en tiempo real.
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Jev processes game state data to make decisions and play Super Mario Bros. effectively.
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A 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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A project where Jev attempts to defeat the Pokémon League in Pokémon Gold, using basic controls to navigate and win.
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A community post about using an agent for autonomous Pokémon shiny hunting with automated resets and checks.
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Pokémon FireRed Elite Four run. A community post describing an experiment where Jev successfully completed a game with low-cost resources.
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A community post describing a game where Jev routes trains to stations in real time without a solver.
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A community test comparing Jev's performance against GLM 5.3 in a chess game, highlighting speed and cost efficiency.
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A demonstration of Jev competing against OpenJev in a first-person shooter game.
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A community post exploring Jev's behavior in a game of Catan, where multiple Jevs struggle with negotiation.
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Jev classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
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Jev filters social media posts to reduce negative content exposure by categorizing them.
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Jev from @typesafeai plays Balatro, making quick decisions on cards and gameplay within 200-500ms.
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A community reference describing real-time generation of game levels for game development.
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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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An experiment to enable Jev to perform dogfighting, with ongoing improvements.
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A tool that analyzes Tetris board positions and selects optimal placements in under half a second.
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Jev plays Connect Four on OmarchyLinux, demonstrating real-time decision loops with structured state.
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Real-time League of Legends win-probability overlay using Jev to analyze game state and predict outcomes.
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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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A chess experiment where Jev V13 makes decisions against advanced language models.
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A community post compares Jev's performance to Astra in gaming scenarios, highlighting its unique approach.
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Jev demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
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A community post about a virtual town where Jev makes all decisions, managing 120 people and various local structures.
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A game integrating Jev to display real-time decision probabilities during gameplay.
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A community post describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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A community project showcasing Jev's potential through a competitive snake game where two Jev instances battle for victory.
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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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Jev successfully played and won a match in the game Clash Royale.
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A community-developed resource for analyzing and improving fighting techniques through Jev's capabilities.
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A community experiment demonstrating Jev's interaction with a video game.
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Jev plays Tetris by making real-time decisions to move blocks.
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Jev plays Subway Surfers at superhuman speed and handles 50 games simultaneously for under a cent.
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A Chrome Dino game implementation where Jev provides real-time decision scores.
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A community project embedding three Jev-powered bots into a first-person shooter game.
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A community post details a Pac-Man game where every move is determined by Jev, offering strategic insights.
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A community post describes Jev attempting to play Resident Evil, testing its ability to handle 3D environments, objectives, and combat scenarios.
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Jev is used to predict human moves in a rock-paper-scissors game.
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A gaming project enabling seamless switching between manual and AI-driven gameplay using Jev.
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An experimental game where Jev AI generates multiple timelines to keep Mario alive through decision branching.
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Integration of Jev into a game for fast and cost-effective performance.
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Two decision channels on ViZDoom, navigation at 5 Hz and combat at 12 Hz, with an 18-kill test run.
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